diff --git a/04_11_2025/38/basicsr_options.yaml b/04_11_2025/38/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e5e66a197375baa4761c08354487897d16878656 --- /dev/null +++ b/04_11_2025/38/basicsr_options.yaml @@ -0,0 +1,238 @@ +# GENERATE TIME: Tue Nov 4 14:00:39 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./runs/02_11_2025/34/models/net_g_20000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '38' +name: '38' diff --git a/04_11_2025/38/train_38_20251104_140039.log b/04_11_2025/38/train_38_20251104_140039.log new file mode 100644 index 0000000000000000000000000000000000000000..8b44569806c787875e8e92cf547ec503c8bdd59f --- /dev/null +++ b/04_11_2025/38/train_38_20251104_140039.log @@ -0,0 +1,577 @@ +2025-11-04 14:00:39,859 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 14:00:39,859 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./runs/02_11_2025/34/models/net_g_20000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38 + name: 38 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 14:00:41,572 INFO: Use wandb logger with id=yupmcnie; project=Swin2SR-Latent-SR. +2025-11-04 14:00:55,139 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 14:00:55,140 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 14:00:55,144 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 14:00:55,144 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 14:00:55,146 INFO: Enabled find_unused_parameters=True for multi-head training overrides. +2025-11-04 14:00:55,621 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 14:01:00,856 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 14:01:00,857 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) diff --git a/04_11_2025/38_archived_20251104_065727/basicsr_options.yaml b/04_11_2025/38_archived_20251104_065727/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3f0e19811208cb5e9bdec068d6c0db17d76133e8 --- /dev/null +++ b/04_11_2025/38_archived_20251104_065727/basicsr_options.yaml @@ -0,0 +1,238 @@ +# GENERATE TIME: Tue Nov 4 06:51:38 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./runs/02_11_2025/34/models/net_g_20000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '38' +name: '38' diff --git a/04_11_2025/38_archived_20251104_065727/train_38_20251104_065138.log b/04_11_2025/38_archived_20251104_065727/train_38_20251104_065138.log new file mode 100644 index 0000000000000000000000000000000000000000..61d63b4d1c428041f7caf4c3e65bf37e9bd78dcd --- /dev/null +++ b/04_11_2025/38_archived_20251104_065727/train_38_20251104_065138.log @@ -0,0 +1,598 @@ +2025-11-04 06:51:38,640 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 06:51:38,640 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./runs/02_11_2025/34/models/net_g_20000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38 + name: 38 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 06:51:40,278 INFO: Use wandb logger with id=ji9u56mi; project=Swin2SR-Latent-SR. +2025-11-04 06:51:54,954 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 06:51:54,955 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 06:51:54,959 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 06:51:54,959 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 06:51:54,960 INFO: Enabled find_unused_parameters=True for multi-head training overrides. +2025-11-04 06:51:55,415 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 06:51:57,438 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 06:51:57,439 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 06:51:57,604 INFO: Loading SwinIRMultiHead from ./runs/02_11_2025/34/models/net_g_20000.pth [key=params]. +2025-11-04 06:51:57,666 INFO: Use EMA with decay: 0.999 +2025-11-04 06:51:58,234 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 06:51:58,422 INFO: Loading: params_ema does not exist, use params. +2025-11-04 06:51:58,423 INFO: Loading SwinIRMultiHead from ./runs/02_11_2025/34/models/net_g_20000.pth [key=params]. +2025-11-04 06:51:58,471 INFO: Loss [Eagle_Loss] is created. +2025-11-04 06:51:58,472 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-11-04 06:51:58,472 INFO: Loss [L1Loss] is created. +2025-11-04 06:51:58,473 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 06:51:58,473 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 06:51:58,473 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 06:51:58,473 INFO: Loss [Eagle_Loss] is created. +2025-11-04 06:51:58,474 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 06:51:58,474 INFO: Loss [L1Loss] is created. +2025-11-04 06:51:58,474 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 06:51:58,474 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 06:51:58,475 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 06:51:58,476 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 06:51:58,476 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 06:53:09,920 INFO: Start training from epoch: 0, step: 0 +2025-11-04 06:53:12,036 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/38_archived_20251104_140039/basicsr_options.yaml b/04_11_2025/38_archived_20251104_140039/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..23a5b197b9163b2e76b736dd8e200765738f1ebe --- /dev/null +++ b/04_11_2025/38_archived_20251104_140039/basicsr_options.yaml @@ -0,0 +1,238 @@ +# GENERATE TIME: Tue Nov 4 06:57:27 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./runs/02_11_2025/34/models/net_g_20000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '38' +name: '38' diff --git a/04_11_2025/38_archived_20251104_140039/train_38_20251104_065727.log b/04_11_2025/38_archived_20251104_140039/train_38_20251104_065727.log new file mode 100644 index 0000000000000000000000000000000000000000..ccaaab6f906cdfb76a38e5e5bc3e61379d9da3d8 --- /dev/null +++ b/04_11_2025/38_archived_20251104_140039/train_38_20251104_065727.log @@ -0,0 +1,60728 @@ +2025-11-04 06:57:27,578 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 06:57:27,579 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./runs/02_11_2025/34/models/net_g_20000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38 + name: 38 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 06:57:29,384 INFO: Use wandb logger with id=fab14d2t; project=Swin2SR-Latent-SR. +2025-11-04 06:57:41,912 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 06:57:41,913 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 06:57:41,917 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 06:57:41,917 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 06:57:41,919 INFO: Enabled find_unused_parameters=True for multi-head training overrides. +2025-11-04 06:57:42,373 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 06:57:44,404 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 06:57:44,405 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 06:57:44,550 INFO: Loading SwinIRMultiHead from ./runs/02_11_2025/34/models/net_g_20000.pth [key=params]. +2025-11-04 06:57:44,598 INFO: Use EMA with decay: 0.999 +2025-11-04 06:57:44,986 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 06:57:45,170 INFO: Loading: params_ema does not exist, use params. +2025-11-04 06:57:45,171 INFO: Loading SwinIRMultiHead from ./runs/02_11_2025/34/models/net_g_20000.pth [key=params]. +2025-11-04 06:57:45,219 INFO: Loss [Eagle_Loss] is created. +2025-11-04 06:57:45,220 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-11-04 06:57:45,222 INFO: Loss [L1Loss] is created. +2025-11-04 06:57:45,223 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 06:57:45,224 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 06:57:45,224 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 06:57:45,225 INFO: Loss [Eagle_Loss] is created. +2025-11-04 06:57:45,226 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 06:57:45,227 INFO: Loss [L1Loss] is created. +2025-11-04 06:57:45,228 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 06:57:45,229 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 06:57:45,231 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 06:57:45,233 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 06:57:45,233 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 06:59:00,469 INFO: Start training from epoch: 0, step: 0 +2025-11-04 06:59:02,593 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 07:01:10,030 INFO: [38..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 15:54:31, time (data): 1.296 (0.014)] eagle_pixel_x2_opt: 4.7440e+00 l1_pixel_x2_opt: 3.8908e-02 fft_frequency_x2_opt: 3.7342e-02 eagle_pixel_x4_opt: 6.5368e+00 l1_pixel_x4_opt: 5.3909e-02 fft_frequency_x4_opt: 4.7829e-02 +2025-11-04 07:03:07,259 INFO: [38..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 16:15:22, time (data): 1.234 (0.007)] eagle_pixel_x2_opt: 5.6323e+00 l1_pixel_x2_opt: 4.0722e-02 fft_frequency_x2_opt: 3.8262e-02 eagle_pixel_x4_opt: 7.8127e+00 l1_pixel_x4_opt: 6.0618e-02 fft_frequency_x4_opt: 5.2118e-02 +2025-11-04 07:05:04,811 INFO: [38..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 1 day, 16:23:17, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 4.7649e+00 l1_pixel_x2_opt: 3.7353e-02 fft_frequency_x2_opt: 3.3888e-02 eagle_pixel_x4_opt: 7.1378e+00 l1_pixel_x4_opt: 5.8527e-02 fft_frequency_x4_opt: 4.7750e-02 +2025-11-04 07:07:02,035 INFO: [38..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 1 day, 16:24:34, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 5.0890e+00 l1_pixel_x2_opt: 3.8136e-02 fft_frequency_x2_opt: 3.5399e-02 eagle_pixel_x4_opt: 7.5096e+00 l1_pixel_x4_opt: 5.7024e-02 fft_frequency_x4_opt: 4.9315e-02 +2025-11-04 07:08:59,059 INFO: [38..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 1 day, 16:23:45, time (data): 1.170 (0.000)] eagle_pixel_x2_opt: 4.6808e+00 l1_pixel_x2_opt: 3.4945e-02 fft_frequency_x2_opt: 3.1967e-02 eagle_pixel_x4_opt: 6.7074e+00 l1_pixel_x4_opt: 5.3017e-02 fft_frequency_x4_opt: 4.4828e-02 +2025-11-04 07:10:56,277 INFO: [38..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 1 day, 16:23:13, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 4.9611e+00 l1_pixel_x2_opt: 3.5192e-02 fft_frequency_x2_opt: 3.3429e-02 eagle_pixel_x4_opt: 7.3321e+00 l1_pixel_x4_opt: 5.4343e-02 fft_frequency_x4_opt: 4.6511e-02 +2025-11-04 07:12:53,462 INFO: [38..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 1 day, 16:22:11, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.5767e+00 l1_pixel_x2_opt: 3.6745e-02 fft_frequency_x2_opt: 3.3610e-02 eagle_pixel_x4_opt: 6.6981e+00 l1_pixel_x4_opt: 5.5069e-02 fft_frequency_x4_opt: 4.5962e-02 +2025-11-04 07:14:50,765 INFO: [38..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 1 day, 16:21:13, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.7573e+00 l1_pixel_x2_opt: 3.8682e-02 fft_frequency_x2_opt: 3.6182e-02 eagle_pixel_x4_opt: 7.3344e+00 l1_pixel_x4_opt: 5.7664e-02 fft_frequency_x4_opt: 4.9218e-02 +2025-11-04 07:16:48,044 INFO: [38..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 1 day, 16:19:59, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.4757e+00 l1_pixel_x2_opt: 3.6880e-02 fft_frequency_x2_opt: 3.4464e-02 eagle_pixel_x4_opt: 6.8377e+00 l1_pixel_x4_opt: 5.6885e-02 fft_frequency_x4_opt: 4.7535e-02 +2025-11-04 07:18:45,146 INFO: [38..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 1 day, 16:18:14, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 3.6508e+00 l1_pixel_x2_opt: 3.0700e-02 fft_frequency_x2_opt: 2.8620e-02 eagle_pixel_x4_opt: 5.3792e+00 l1_pixel_x4_opt: 4.8764e-02 fft_frequency_x4_opt: 3.9322e-02 +2025-11-04 07:20:42,302 INFO: [38..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 1 day, 16:16:33, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 3.3563e+00 l1_pixel_x2_opt: 3.0928e-02 fft_frequency_x2_opt: 2.6988e-02 eagle_pixel_x4_opt: 5.0307e+00 l1_pixel_x4_opt: 4.6874e-02 fft_frequency_x4_opt: 3.7270e-02 +2025-11-04 07:22:39,959 INFO: [38..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 1 day, 16:15:41, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 3.8449e+00 l1_pixel_x2_opt: 3.4350e-02 fft_frequency_x2_opt: 3.0093e-02 eagle_pixel_x4_opt: 5.8847e+00 l1_pixel_x4_opt: 4.9930e-02 fft_frequency_x4_opt: 4.1393e-02 +2025-11-04 07:24:37,230 INFO: [38..][epoch: 0, step: 1,300, lr:(2.000e-04,)] [eta: 1 day, 16:14:02, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.3502e+00 l1_pixel_x2_opt: 3.3062e-02 fft_frequency_x2_opt: 2.9945e-02 eagle_pixel_x4_opt: 6.8147e+00 l1_pixel_x4_opt: 5.2025e-02 fft_frequency_x4_opt: 4.2264e-02 +2025-11-04 07:26:34,393 INFO: [38..][epoch: 0, step: 1,400, lr:(2.000e-04,)] [eta: 1 day, 16:12:12, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.1347e+00 l1_pixel_x2_opt: 3.5816e-02 fft_frequency_x2_opt: 3.2181e-02 eagle_pixel_x4_opt: 6.3777e+00 l1_pixel_x4_opt: 5.5197e-02 fft_frequency_x4_opt: 4.5060e-02 +2025-11-04 07:28:31,615 INFO: [38..][epoch: 0, step: 1,500, lr:(2.000e-04,)] [eta: 1 day, 16:10:25, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.6809e+00 l1_pixel_x2_opt: 3.8820e-02 fft_frequency_x2_opt: 3.5295e-02 eagle_pixel_x4_opt: 7.3850e+00 l1_pixel_x4_opt: 5.8730e-02 fft_frequency_x4_opt: 4.9057e-02 +2025-11-04 07:30:28,712 INFO: [38..][epoch: 0, step: 1,600, lr:(2.000e-04,)] [eta: 1 day, 16:08:27, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 3.9741e+00 l1_pixel_x2_opt: 3.3784e-02 fft_frequency_x2_opt: 3.0010e-02 eagle_pixel_x4_opt: 5.8275e+00 l1_pixel_x4_opt: 5.4092e-02 fft_frequency_x4_opt: 4.0995e-02 +2025-11-04 07:32:25,793 INFO: [38..][epoch: 0, step: 1,700, lr:(2.000e-04,)] [eta: 1 day, 16:06:28, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 4.6774e+00 l1_pixel_x2_opt: 3.7415e-02 fft_frequency_x2_opt: 3.3305e-02 eagle_pixel_x4_opt: 7.6013e+00 l1_pixel_x4_opt: 5.6083e-02 fft_frequency_x4_opt: 4.6697e-02 +2025-11-04 07:34:22,837 INFO: [38..][epoch: 0, step: 1,800, lr:(2.000e-04,)] [eta: 1 day, 16:04:27, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 3.9401e+00 l1_pixel_x2_opt: 3.1546e-02 fft_frequency_x2_opt: 2.8479e-02 eagle_pixel_x4_opt: 6.1456e+00 l1_pixel_x4_opt: 5.0252e-02 fft_frequency_x4_opt: 4.0677e-02 +2025-11-04 07:36:19,918 INFO: [38..][epoch: 0, step: 1,900, lr:(2.000e-04,)] [eta: 1 day, 16:02:28, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 3.6616e+00 l1_pixel_x2_opt: 3.1642e-02 fft_frequency_x2_opt: 2.7193e-02 eagle_pixel_x4_opt: 5.8356e+00 l1_pixel_x4_opt: 4.8629e-02 fft_frequency_x4_opt: 3.8979e-02 +2025-11-04 07:38:16,964 INFO: [38..][epoch: 0, step: 2,000, lr:(2.000e-04,)] [eta: 1 day, 16:00:28, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 5.0142e+00 l1_pixel_x2_opt: 3.5849e-02 fft_frequency_x2_opt: 3.3581e-02 eagle_pixel_x4_opt: 7.8915e+00 l1_pixel_x4_opt: 5.6272e-02 fft_frequency_x4_opt: 4.8051e-02 +2025-11-04 07:40:14,020 INFO: [38..][epoch: 0, step: 2,100, lr:(2.000e-04,)] [eta: 1 day, 15:58:28, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 4.0698e+00 l1_pixel_x2_opt: 2.9856e-02 fft_frequency_x2_opt: 3.0082e-02 eagle_pixel_x4_opt: 6.6819e+00 l1_pixel_x4_opt: 4.4134e-02 fft_frequency_x4_opt: 4.1934e-02 +2025-11-04 07:42:11,025 INFO: [38..][epoch: 0, step: 2,200, lr:(2.000e-04,)] [eta: 1 day, 15:56:26, time (data): 1.170 (0.000)] eagle_pixel_x2_opt: 5.2676e+00 l1_pixel_x2_opt: 3.9348e-02 fft_frequency_x2_opt: 3.9941e-02 eagle_pixel_x4_opt: 7.9582e+00 l1_pixel_x4_opt: 5.7667e-02 fft_frequency_x4_opt: 5.4268e-02 +2025-11-04 07:44:08,013 INFO: [38..][epoch: 0, step: 2,300, lr:(2.000e-04,)] [eta: 1 day, 15:54:24, time (data): 1.170 (0.000)] eagle_pixel_x2_opt: 3.8869e+00 l1_pixel_x2_opt: 2.9759e-02 fft_frequency_x2_opt: 2.8694e-02 eagle_pixel_x4_opt: 5.9668e+00 l1_pixel_x4_opt: 4.6145e-02 fft_frequency_x4_opt: 3.9340e-02 +2025-11-04 07:46:05,146 INFO: [38..][epoch: 0, step: 2,400, lr:(2.000e-04,)] [eta: 1 day, 15:52:29, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 4.1626e+00 l1_pixel_x2_opt: 3.2643e-02 fft_frequency_x2_opt: 3.0292e-02 eagle_pixel_x4_opt: 6.6690e+00 l1_pixel_x4_opt: 4.9915e-02 fft_frequency_x4_opt: 4.2523e-02 +2025-11-04 07:48:02,196 INFO: [38..][epoch: 0, step: 2,500, lr:(2.000e-04,)] [eta: 1 day, 15:50:30, time (data): 1.170 (0.000)] eagle_pixel_x2_opt: 4.1013e+00 l1_pixel_x2_opt: 3.5360e-02 fft_frequency_x2_opt: 3.2802e-02 eagle_pixel_x4_opt: 6.3765e+00 l1_pixel_x4_opt: 5.2115e-02 fft_frequency_x4_opt: 4.5438e-02 +2025-11-04 07:49:59,759 INFO: [38..][epoch: 0, step: 2,600, lr:(2.000e-04,)] [eta: 1 day, 15:48:55, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 5.2100e+00 l1_pixel_x2_opt: 3.4928e-02 fft_frequency_x2_opt: 3.2993e-02 eagle_pixel_x4_opt: 8.2951e+00 l1_pixel_x4_opt: 5.6059e-02 fft_frequency_x4_opt: 4.7853e-02 +2025-11-04 07:51:56,790 INFO: [38..][epoch: 0, step: 2,700, lr:(2.000e-04,)] [eta: 1 day, 15:46:55, time (data): 1.170 (0.000)] eagle_pixel_x2_opt: 4.2824e+00 l1_pixel_x2_opt: 3.1056e-02 fft_frequency_x2_opt: 2.9085e-02 eagle_pixel_x4_opt: 6.9571e+00 l1_pixel_x4_opt: 4.8647e-02 fft_frequency_x4_opt: 4.0874e-02 +2025-11-04 07:53:53,792 INFO: [38..][epoch: 0, step: 2,800, lr:(2.000e-04,)] [eta: 1 day, 15:44:53, time (data): 1.170 (0.000)] eagle_pixel_x2_opt: 3.9005e+00 l1_pixel_x2_opt: 3.2870e-02 fft_frequency_x2_opt: 3.0029e-02 eagle_pixel_x4_opt: 5.8510e+00 l1_pixel_x4_opt: 5.0896e-02 fft_frequency_x4_opt: 4.1644e-02 +2025-11-04 07:55:50,930 INFO: [38..][epoch: 0, step: 2,900, lr:(2.000e-04,)] [eta: 1 day, 15:42:58, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.6114e+00 l1_pixel_x2_opt: 3.3793e-02 fft_frequency_x2_opt: 2.8931e-02 eagle_pixel_x4_opt: 7.6002e+00 l1_pixel_x4_opt: 5.4937e-02 fft_frequency_x4_opt: 4.2953e-02 +2025-11-04 07:57:48,423 INFO: [38..][epoch: 0, step: 3,000, lr:(2.000e-04,)] [eta: 1 day, 15:41:17, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.3010e+00 l1_pixel_x2_opt: 3.5187e-02 fft_frequency_x2_opt: 3.2091e-02 eagle_pixel_x4_opt: 6.4098e+00 l1_pixel_x4_opt: 5.4010e-02 fft_frequency_x4_opt: 4.5552e-02 +2025-11-04 07:59:45,718 INFO: [38..][epoch: 0, step: 3,100, lr:(2.000e-04,)] [eta: 1 day, 15:39:27, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 5.7088e+00 l1_pixel_x2_opt: 3.7386e-02 fft_frequency_x2_opt: 3.5115e-02 eagle_pixel_x4_opt: 9.5366e+00 l1_pixel_x4_opt: 5.9568e-02 fft_frequency_x4_opt: 5.0909e-02 +2025-11-04 08:01:43,154 INFO: [38..][epoch: 0, step: 3,200, lr:(2.000e-04,)] [eta: 1 day, 15:37:42, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.4792e+00 l1_pixel_x2_opt: 3.4198e-02 fft_frequency_x2_opt: 3.1952e-02 eagle_pixel_x4_opt: 7.0634e+00 l1_pixel_x4_opt: 5.5774e-02 fft_frequency_x4_opt: 4.5761e-02 +2025-11-04 08:03:40,654 INFO: [38..][epoch: 0, step: 3,300, lr:(2.000e-04,)] [eta: 1 day, 15:35:58, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.6969e+00 l1_pixel_x2_opt: 3.5363e-02 fft_frequency_x2_opt: 3.1336e-02 eagle_pixel_x4_opt: 5.6626e+00 l1_pixel_x4_opt: 5.2551e-02 fft_frequency_x4_opt: 4.2645e-02 +2025-11-04 08:05:37,961 INFO: [38..][epoch: 0, step: 3,400, lr:(2.000e-04,)] [eta: 1 day, 15:34:07, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 5.4134e+00 l1_pixel_x2_opt: 4.5280e-02 fft_frequency_x2_opt: 3.9953e-02 eagle_pixel_x4_opt: 8.4382e+00 l1_pixel_x4_opt: 6.8205e-02 fft_frequency_x4_opt: 5.5518e-02 +2025-11-04 08:07:34,921 INFO: [38..][epoch: 0, step: 3,500, lr:(2.000e-04,)] [eta: 1 day, 15:32:03, time (data): 1.170 (0.000)] eagle_pixel_x2_opt: 3.7478e+00 l1_pixel_x2_opt: 3.2212e-02 fft_frequency_x2_opt: 2.8306e-02 eagle_pixel_x4_opt: 5.7942e+00 l1_pixel_x4_opt: 4.9197e-02 fft_frequency_x4_opt: 3.9720e-02 +2025-11-04 08:09:32,266 INFO: [38..][epoch: 0, step: 3,600, lr:(2.000e-04,)] [eta: 1 day, 15:30:13, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 3.8236e+00 l1_pixel_x2_opt: 3.3072e-02 fft_frequency_x2_opt: 3.0561e-02 eagle_pixel_x4_opt: 6.0337e+00 l1_pixel_x4_opt: 5.0631e-02 fft_frequency_x4_opt: 4.3224e-02 +2025-11-04 08:11:29,927 INFO: [38..][epoch: 0, step: 3,700, lr:(2.000e-04,)] [eta: 1 day, 15:28:33, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.8308e+00 l1_pixel_x2_opt: 3.0555e-02 fft_frequency_x2_opt: 2.8348e-02 eagle_pixel_x4_opt: 5.7631e+00 l1_pixel_x4_opt: 4.8347e-02 fft_frequency_x4_opt: 3.9468e-02 +2025-11-04 08:13:27,387 INFO: [38..][epoch: 0, step: 3,800, lr:(2.000e-04,)] [eta: 1 day, 15:26:45, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 4.6326e+00 l1_pixel_x2_opt: 3.5898e-02 fft_frequency_x2_opt: 3.3486e-02 eagle_pixel_x4_opt: 7.1716e+00 l1_pixel_x4_opt: 5.5624e-02 fft_frequency_x4_opt: 4.6466e-02 +2025-11-04 08:15:24,708 INFO: [38..][epoch: 0, step: 3,900, lr:(2.000e-04,)] [eta: 1 day, 15:24:53, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.2480e+00 l1_pixel_x2_opt: 3.3698e-02 fft_frequency_x2_opt: 3.1011e-02 eagle_pixel_x4_opt: 6.5263e+00 l1_pixel_x4_opt: 5.2220e-02 fft_frequency_x4_opt: 4.3038e-02 +2025-11-04 08:17:21,859 INFO: [38..][epoch: 0, step: 4,000, lr:(2.000e-04,)] [eta: 1 day, 15:22:55, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.1446e+00 l1_pixel_x2_opt: 3.3996e-02 fft_frequency_x2_opt: 3.0974e-02 eagle_pixel_x4_opt: 6.6236e+00 l1_pixel_x4_opt: 5.2036e-02 fft_frequency_x4_opt: 4.3315e-02 +2025-11-04 08:19:19,101 INFO: [38..][epoch: 0, step: 4,100, lr:(2.000e-04,)] [eta: 1 day, 15:21:00, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.0700e+00 l1_pixel_x2_opt: 3.5001e-02 fft_frequency_x2_opt: 3.0814e-02 eagle_pixel_x4_opt: 6.0678e+00 l1_pixel_x4_opt: 5.3347e-02 fft_frequency_x4_opt: 4.2596e-02 +2025-11-04 08:21:16,312 INFO: [38..][epoch: 0, step: 4,200, lr:(2.000e-04,)] [eta: 1 day, 15:19:04, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.0549e+00 l1_pixel_x2_opt: 3.3893e-02 fft_frequency_x2_opt: 3.1202e-02 eagle_pixel_x4_opt: 6.2865e+00 l1_pixel_x4_opt: 5.0971e-02 fft_frequency_x4_opt: 4.3354e-02 +2025-11-04 08:23:13,590 INFO: [38..][epoch: 0, step: 4,300, lr:(2.000e-04,)] [eta: 1 day, 15:17:10, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.1707e+00 l1_pixel_x2_opt: 3.5245e-02 fft_frequency_x2_opt: 3.3262e-02 eagle_pixel_x4_opt: 6.3308e+00 l1_pixel_x4_opt: 5.3564e-02 fft_frequency_x4_opt: 4.4989e-02 +2025-11-04 08:25:10,931 INFO: [38..][epoch: 0, step: 4,400, lr:(2.000e-04,)] [eta: 1 day, 15:15:17, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.1928e+00 l1_pixel_x2_opt: 3.5496e-02 fft_frequency_x2_opt: 3.1799e-02 eagle_pixel_x4_opt: 7.0996e+00 l1_pixel_x4_opt: 5.3249e-02 fft_frequency_x4_opt: 4.5492e-02 +2025-11-04 08:27:08,065 INFO: [38..][epoch: 0, step: 4,500, lr:(2.000e-04,)] [eta: 1 day, 15:13:19, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 4.6196e+00 l1_pixel_x2_opt: 3.8429e-02 fft_frequency_x2_opt: 3.4312e-02 eagle_pixel_x4_opt: 7.2395e+00 l1_pixel_x4_opt: 5.9830e-02 fft_frequency_x4_opt: 4.8003e-02 +2025-11-04 08:29:05,627 INFO: [38..][epoch: 0, step: 4,600, lr:(2.000e-04,)] [eta: 1 day, 15:11:32, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 3.3059e+00 l1_pixel_x2_opt: 2.9269e-02 fft_frequency_x2_opt: 2.7338e-02 eagle_pixel_x4_opt: 4.8864e+00 l1_pixel_x4_opt: 4.4159e-02 fft_frequency_x4_opt: 3.7679e-02 +2025-11-04 08:31:02,901 INFO: [38..][epoch: 0, step: 4,700, lr:(2.000e-04,)] [eta: 1 day, 15:09:37, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.9282e+00 l1_pixel_x2_opt: 3.8281e-02 fft_frequency_x2_opt: 3.4695e-02 eagle_pixel_x4_opt: 7.6791e+00 l1_pixel_x4_opt: 6.0331e-02 fft_frequency_x4_opt: 4.8586e-02 +2025-11-04 08:33:00,104 INFO: [38..][epoch: 0, step: 4,800, lr:(2.000e-04,)] [eta: 1 day, 15:07:40, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.5896e+00 l1_pixel_x2_opt: 3.4515e-02 fft_frequency_x2_opt: 3.3203e-02 eagle_pixel_x4_opt: 6.8787e+00 l1_pixel_x4_opt: 5.1488e-02 fft_frequency_x4_opt: 4.5330e-02 +2025-11-04 08:34:57,846 INFO: [38..][epoch: 0, step: 4,900, lr:(2.000e-04,)] [eta: 1 day, 15:05:56, time (data): 1.179 (0.000)] eagle_pixel_x2_opt: 4.0147e+00 l1_pixel_x2_opt: 3.5962e-02 fft_frequency_x2_opt: 3.2039e-02 eagle_pixel_x4_opt: 6.2898e+00 l1_pixel_x4_opt: 5.5507e-02 fft_frequency_x4_opt: 4.4295e-02 +2025-11-04 08:36:55,087 INFO: [38..][epoch: 0, step: 5,000, lr:(2.000e-04,)] [eta: 1 day, 15:04:00, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 4.4996e+00 l1_pixel_x2_opt: 3.5833e-02 fft_frequency_x2_opt: 3.2729e-02 eagle_pixel_x4_opt: 7.2191e+00 l1_pixel_x4_opt: 5.6950e-02 fft_frequency_x4_opt: 4.6530e-02 +2025-11-04 08:36:55,088 INFO: Saving models and training states. +2025-11-04 08:39:33,503 INFO: Validation val_x2 + # l1_latent: 1.4241 Best: 1.4241 @ 5000 iter + # pixel_psnr_pt: 32.2820 Best: 32.2820 @ 5000 iter + +2025-11-04 08:42:08,832 INFO: Validation val_x4 + # l1_latent: 1.5443 Best: 1.5443 @ 5000 iter + # l2_latent: 3.8005 Best: 3.8005 @ 5000 iter + # pixel_psnr_pt: 27.8564 Best: 27.8564 @ 5000 iter + +2025-11-04 08:44:06,561 INFO: [38..][epoch: 0, step: 5,100, lr:(2.000e-04,)] [eta: 1 day, 17:05:10, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 4.1372e+00 l1_pixel_x2_opt: 3.1044e-02 fft_frequency_x2_opt: 2.8090e-02 eagle_pixel_x4_opt: 6.5615e+00 l1_pixel_x4_opt: 4.9961e-02 fft_frequency_x4_opt: 4.0331e-02 +2025-11-04 08:46:04,609 INFO: [38..][epoch: 0, step: 5,200, lr:(2.000e-04,)] [eta: 1 day, 17:01:04, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.3770e+00 l1_pixel_x2_opt: 3.3198e-02 fft_frequency_x2_opt: 3.3247e-02 eagle_pixel_x4_opt: 6.9721e+00 l1_pixel_x4_opt: 5.0148e-02 fft_frequency_x4_opt: 4.6089e-02 +2025-11-04 08:48:02,148 INFO: [38..][epoch: 0, step: 5,300, lr:(2.000e-04,)] [eta: 1 day, 16:56:51, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.7964e+00 l1_pixel_x2_opt: 3.7929e-02 fft_frequency_x2_opt: 3.4437e-02 eagle_pixel_x4_opt: 8.1049e+00 l1_pixel_x4_opt: 5.7999e-02 fft_frequency_x4_opt: 4.8335e-02 +2025-11-04 08:49:59,957 INFO: [38..][epoch: 0, step: 5,400, lr:(2.000e-04,)] [eta: 1 day, 16:52:50, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 4.1125e+00 l1_pixel_x2_opt: 3.5520e-02 fft_frequency_x2_opt: 3.2307e-02 eagle_pixel_x4_opt: 6.7751e+00 l1_pixel_x4_opt: 5.3878e-02 fft_frequency_x4_opt: 4.5386e-02 +2025-11-04 08:51:57,456 INFO: [38..][epoch: 0, step: 5,500, lr:(2.000e-04,)] [eta: 1 day, 16:48:46, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.8092e+00 l1_pixel_x2_opt: 3.6454e-02 fft_frequency_x2_opt: 3.2415e-02 eagle_pixel_x4_opt: 5.9203e+00 l1_pixel_x4_opt: 5.7899e-02 fft_frequency_x4_opt: 4.5083e-02 +2025-11-04 08:53:55,224 INFO: [38..][epoch: 0, step: 5,600, lr:(2.000e-04,)] [eta: 1 day, 16:44:53, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 4.4642e+00 l1_pixel_x2_opt: 3.9076e-02 fft_frequency_x2_opt: 3.4257e-02 eagle_pixel_x4_opt: 6.9888e+00 l1_pixel_x4_opt: 5.8403e-02 fft_frequency_x4_opt: 4.7198e-02 +2025-11-04 08:55:52,456 INFO: [38..][epoch: 0, step: 5,700, lr:(2.000e-04,)] [eta: 1 day, 16:40:52, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 3.6877e+00 l1_pixel_x2_opt: 3.2044e-02 fft_frequency_x2_opt: 3.0719e-02 eagle_pixel_x4_opt: 5.8833e+00 l1_pixel_x4_opt: 4.7775e-02 fft_frequency_x4_opt: 4.2451e-02 +2025-11-04 08:57:49,862 INFO: [38..][epoch: 0, step: 5,800, lr:(2.000e-04,)] [eta: 1 day, 16:36:59, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 3.8724e+00 l1_pixel_x2_opt: 3.6483e-02 fft_frequency_x2_opt: 3.3555e-02 eagle_pixel_x4_opt: 6.0719e+00 l1_pixel_x4_opt: 5.4910e-02 fft_frequency_x4_opt: 4.6026e-02 +2025-11-04 08:59:47,417 INFO: [38..][epoch: 0, step: 5,900, lr:(2.000e-04,)] [eta: 1 day, 16:33:14, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 3.7875e+00 l1_pixel_x2_opt: 3.4292e-02 fft_frequency_x2_opt: 3.0109e-02 eagle_pixel_x4_opt: 5.7710e+00 l1_pixel_x4_opt: 5.2180e-02 fft_frequency_x4_opt: 4.1106e-02 +2025-11-04 09:01:45,012 INFO: [38..][epoch: 0, step: 6,000, lr:(2.000e-04,)] [eta: 1 day, 16:29:32, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 3.9198e+00 l1_pixel_x2_opt: 3.4378e-02 fft_frequency_x2_opt: 3.0833e-02 eagle_pixel_x4_opt: 6.0603e+00 l1_pixel_x4_opt: 5.3237e-02 fft_frequency_x4_opt: 4.2664e-02 +2025-11-04 09:03:42,732 INFO: [38..][epoch: 0, step: 6,100, lr:(2.000e-04,)] [eta: 1 day, 16:25:56, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 4.3155e+00 l1_pixel_x2_opt: 3.3866e-02 fft_frequency_x2_opt: 3.2518e-02 eagle_pixel_x4_opt: 6.6960e+00 l1_pixel_x4_opt: 5.0213e-02 fft_frequency_x4_opt: 4.4812e-02 +2025-11-04 09:05:40,615 INFO: [38..][epoch: 0, step: 6,200, lr:(2.000e-04,)] [eta: 1 day, 16:22:27, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.6228e+00 l1_pixel_x2_opt: 3.7198e-02 fft_frequency_x2_opt: 3.4997e-02 eagle_pixel_x4_opt: 7.2828e+00 l1_pixel_x4_opt: 5.5209e-02 fft_frequency_x4_opt: 4.8332e-02 +2025-11-04 09:07:38,350 INFO: [38..][epoch: 0, step: 6,300, lr:(2.000e-04,)] [eta: 1 day, 16:18:58, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.2501e+00 l1_pixel_x2_opt: 3.5685e-02 fft_frequency_x2_opt: 3.2931e-02 eagle_pixel_x4_opt: 6.4843e+00 l1_pixel_x4_opt: 5.4201e-02 fft_frequency_x4_opt: 4.5150e-02 +2025-11-04 09:09:35,692 INFO: [38..][epoch: 0, step: 6,400, lr:(2.000e-04,)] [eta: 1 day, 16:15:24, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 3.8241e+00 l1_pixel_x2_opt: 3.5313e-02 fft_frequency_x2_opt: 3.1318e-02 eagle_pixel_x4_opt: 5.8875e+00 l1_pixel_x4_opt: 5.3401e-02 fft_frequency_x4_opt: 4.2603e-02 +2025-11-04 09:11:32,979 INFO: [38..][epoch: 0, step: 6,500, lr:(2.000e-04,)] [eta: 1 day, 16:11:52, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.5013e+00 l1_pixel_x2_opt: 3.8268e-02 fft_frequency_x2_opt: 3.4158e-02 eagle_pixel_x4_opt: 6.6976e+00 l1_pixel_x4_opt: 5.7453e-02 fft_frequency_x4_opt: 4.7326e-02 +2025-11-04 09:13:30,219 INFO: [38..][epoch: 0, step: 6,600, lr:(2.000e-04,)] [eta: 1 day, 16:08:23, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 3.6435e+00 l1_pixel_x2_opt: 3.0394e-02 fft_frequency_x2_opt: 2.6632e-02 eagle_pixel_x4_opt: 5.8535e+00 l1_pixel_x4_opt: 4.9718e-02 fft_frequency_x4_opt: 3.8716e-02 +2025-11-04 09:15:29,838 INFO: [38..][epoch: 0, step: 6,700, lr:(2.000e-04,)] [eta: 1 day, 16:05:38, time (data): 1.189 (0.000)] eagle_pixel_x2_opt: 3.9290e+00 l1_pixel_x2_opt: 3.1929e-02 fft_frequency_x2_opt: 3.0609e-02 eagle_pixel_x4_opt: 5.9166e+00 l1_pixel_x4_opt: 4.7812e-02 fft_frequency_x4_opt: 4.1967e-02 +2025-11-04 09:17:27,325 INFO: [38..][epoch: 0, step: 6,800, lr:(2.000e-04,)] [eta: 1 day, 16:02:17, time (data): 1.181 (0.000)] eagle_pixel_x2_opt: 3.0135e+00 l1_pixel_x2_opt: 2.7562e-02 fft_frequency_x2_opt: 2.4392e-02 eagle_pixel_x4_opt: 4.8239e+00 l1_pixel_x4_opt: 4.5100e-02 fft_frequency_x4_opt: 3.5172e-02 +2025-11-04 09:19:24,560 INFO: [38..][epoch: 0, step: 6,900, lr:(2.000e-04,)] [eta: 1 day, 15:58:55, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 3.6133e+00 l1_pixel_x2_opt: 3.0213e-02 fft_frequency_x2_opt: 2.6934e-02 eagle_pixel_x4_opt: 5.7871e+00 l1_pixel_x4_opt: 4.6218e-02 fft_frequency_x4_opt: 3.7941e-02 +2025-11-04 09:21:21,815 INFO: [38..][epoch: 0, step: 7,000, lr:(2.000e-04,)] [eta: 1 day, 15:55:35, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.3049e+00 l1_pixel_x2_opt: 3.4227e-02 fft_frequency_x2_opt: 3.0980e-02 eagle_pixel_x4_opt: 6.5621e+00 l1_pixel_x4_opt: 5.2614e-02 fft_frequency_x4_opt: 4.3375e-02 +2025-11-04 09:23:21,022 INFO: [38..][epoch: 0, step: 7,100, lr:(2.000e-04,)] [eta: 1 day, 15:52:50, time (data): 1.184 (0.000)] eagle_pixel_x2_opt: 3.8295e+00 l1_pixel_x2_opt: 3.1236e-02 fft_frequency_x2_opt: 2.8548e-02 eagle_pixel_x4_opt: 6.3157e+00 l1_pixel_x4_opt: 4.8816e-02 fft_frequency_x4_opt: 4.1232e-02 +2025-11-04 09:25:18,815 INFO: [38..][epoch: 0, step: 7,200, lr:(2.000e-04,)] [eta: 1 day, 15:49:43, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 3.5414e+00 l1_pixel_x2_opt: 2.9848e-02 fft_frequency_x2_opt: 2.9182e-02 eagle_pixel_x4_opt: 5.5128e+00 l1_pixel_x4_opt: 4.5670e-02 fft_frequency_x4_opt: 4.0286e-02 +2025-11-04 09:27:18,186 INFO: [38..][epoch: 0, step: 7,300, lr:(2.000e-04,)] [eta: 1 day, 15:47:03, time (data): 1.197 (0.000)] eagle_pixel_x2_opt: 5.0862e+00 l1_pixel_x2_opt: 3.8518e-02 fft_frequency_x2_opt: 3.5887e-02 eagle_pixel_x4_opt: 8.0880e+00 l1_pixel_x4_opt: 5.7258e-02 fft_frequency_x4_opt: 5.0119e-02 +2025-11-04 09:29:15,603 INFO: [38..][epoch: 0, step: 7,400, lr:(2.000e-04,)] [eta: 1 day, 15:43:54, time (data): 1.183 (0.000)] eagle_pixel_x2_opt: 3.5887e+00 l1_pixel_x2_opt: 3.0708e-02 fft_frequency_x2_opt: 2.9031e-02 eagle_pixel_x4_opt: 5.7118e+00 l1_pixel_x4_opt: 4.7267e-02 fft_frequency_x4_opt: 4.0881e-02 +2025-11-04 09:31:13,142 INFO: [38..][epoch: 0, step: 7,500, lr:(2.000e-04,)] [eta: 1 day, 15:40:48, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 3.2528e+00 l1_pixel_x2_opt: 2.8868e-02 fft_frequency_x2_opt: 2.7380e-02 eagle_pixel_x4_opt: 5.0689e+00 l1_pixel_x4_opt: 4.4779e-02 fft_frequency_x4_opt: 3.7848e-02 +2025-11-04 09:33:10,358 INFO: [38..][epoch: 0, step: 7,600, lr:(2.000e-04,)] [eta: 1 day, 15:37:39, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 5.2111e+00 l1_pixel_x2_opt: 3.9065e-02 fft_frequency_x2_opt: 3.5496e-02 eagle_pixel_x4_opt: 8.5055e+00 l1_pixel_x4_opt: 6.1120e-02 fft_frequency_x4_opt: 5.1091e-02 +2025-11-04 09:35:07,829 INFO: [38..][epoch: 0, step: 7,700, lr:(2.000e-04,)] [eta: 1 day, 15:34:36, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.1774e+00 l1_pixel_x2_opt: 3.6828e-02 fft_frequency_x2_opt: 3.4103e-02 eagle_pixel_x4_opt: 6.4917e+00 l1_pixel_x4_opt: 5.6037e-02 fft_frequency_x4_opt: 4.7560e-02 +2025-11-04 09:37:05,623 INFO: [38..][epoch: 0, step: 7,800, lr:(2.000e-04,)] [eta: 1 day, 15:31:40, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.2937e+00 l1_pixel_x2_opt: 3.0793e-02 fft_frequency_x2_opt: 2.8292e-02 eagle_pixel_x4_opt: 5.1033e+00 l1_pixel_x4_opt: 4.7852e-02 fft_frequency_x4_opt: 3.8875e-02 +2025-11-04 09:39:03,931 INFO: [38..][epoch: 0, step: 7,900, lr:(2.000e-04,)] [eta: 1 day, 15:28:52, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 4.5045e+00 l1_pixel_x2_opt: 3.7243e-02 fft_frequency_x2_opt: 3.1123e-02 eagle_pixel_x4_opt: 6.9356e+00 l1_pixel_x4_opt: 6.0053e-02 fft_frequency_x4_opt: 4.4443e-02 +2025-11-04 09:41:01,645 INFO: [38..][epoch: 0, step: 8,000, lr:(2.000e-04,)] [eta: 1 day, 15:25:57, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 3.6486e+00 l1_pixel_x2_opt: 2.9798e-02 fft_frequency_x2_opt: 2.8370e-02 eagle_pixel_x4_opt: 5.9256e+00 l1_pixel_x4_opt: 4.5653e-02 fft_frequency_x4_opt: 3.9478e-02 +2025-11-04 09:42:59,325 INFO: [38..][epoch: 0, step: 8,100, lr:(2.000e-04,)] [eta: 1 day, 15:23:03, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 4.0267e+00 l1_pixel_x2_opt: 3.2696e-02 fft_frequency_x2_opt: 3.1091e-02 eagle_pixel_x4_opt: 6.1403e+00 l1_pixel_x4_opt: 4.9322e-02 fft_frequency_x4_opt: 4.2721e-02 +2025-11-04 09:44:58,277 INFO: [38..][epoch: 0, step: 8,200, lr:(2.000e-04,)] [eta: 1 day, 15:20:28, time (data): 1.186 (0.000)] eagle_pixel_x2_opt: 3.3281e+00 l1_pixel_x2_opt: 2.9365e-02 fft_frequency_x2_opt: 2.7712e-02 eagle_pixel_x4_opt: 5.2447e+00 l1_pixel_x4_opt: 4.3292e-02 fft_frequency_x4_opt: 3.7754e-02 +2025-11-04 09:46:56,708 INFO: [38..][epoch: 0, step: 8,300, lr:(2.000e-04,)] [eta: 1 day, 15:17:47, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.3523e+00 l1_pixel_x2_opt: 3.2087e-02 fft_frequency_x2_opt: 2.9406e-02 eagle_pixel_x4_opt: 6.8303e+00 l1_pixel_x4_opt: 5.1059e-02 fft_frequency_x4_opt: 4.2150e-02 +2025-11-04 09:48:53,811 INFO: [38..][epoch: 0, step: 8,400, lr:(2.000e-04,)] [eta: 1 day, 15:14:49, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.7500e+00 l1_pixel_x2_opt: 3.6250e-02 fft_frequency_x2_opt: 3.3898e-02 eagle_pixel_x4_opt: 7.1313e+00 l1_pixel_x4_opt: 5.3786e-02 fft_frequency_x4_opt: 4.6422e-02 +2025-11-04 09:50:50,861 INFO: [38..][epoch: 0, step: 8,500, lr:(2.000e-04,)] [eta: 1 day, 15:11:51, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 4.1007e+00 l1_pixel_x2_opt: 3.1790e-02 fft_frequency_x2_opt: 2.9909e-02 eagle_pixel_x4_opt: 6.3134e+00 l1_pixel_x4_opt: 5.0345e-02 fft_frequency_x4_opt: 4.2143e-02 +2025-11-04 09:52:47,999 INFO: [38..][epoch: 0, step: 8,600, lr:(2.000e-04,)] [eta: 1 day, 15:08:56, time (data): 1.171 (0.000)] eagle_pixel_x2_opt: 3.9322e+00 l1_pixel_x2_opt: 3.3159e-02 fft_frequency_x2_opt: 3.1645e-02 eagle_pixel_x4_opt: 6.0311e+00 l1_pixel_x4_opt: 4.9066e-02 fft_frequency_x4_opt: 4.2830e-02 +2025-11-04 09:54:45,398 INFO: [38..][epoch: 0, step: 8,700, lr:(2.000e-04,)] [eta: 1 day, 15:06:06, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.8057e+00 l1_pixel_x2_opt: 3.4815e-02 fft_frequency_x2_opt: 3.0108e-02 eagle_pixel_x4_opt: 5.7269e+00 l1_pixel_x4_opt: 5.2382e-02 fft_frequency_x4_opt: 4.1407e-02 +2025-11-04 09:56:44,378 INFO: [38..][epoch: 0, step: 8,800, lr:(2.000e-04,)] [eta: 1 day, 15:03:38, time (data): 1.185 (0.000)] eagle_pixel_x2_opt: 3.6826e+00 l1_pixel_x2_opt: 3.1819e-02 fft_frequency_x2_opt: 2.9786e-02 eagle_pixel_x4_opt: 5.7386e+00 l1_pixel_x4_opt: 4.7687e-02 fft_frequency_x4_opt: 4.1236e-02 +2025-11-04 09:58:42,534 INFO: [38..][epoch: 0, step: 8,900, lr:(2.000e-04,)] [eta: 1 day, 15:00:59, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 3.2765e+00 l1_pixel_x2_opt: 3.1942e-02 fft_frequency_x2_opt: 2.8393e-02 eagle_pixel_x4_opt: 5.0018e+00 l1_pixel_x4_opt: 4.7707e-02 fft_frequency_x4_opt: 3.8764e-02 +2025-11-04 10:00:39,690 INFO: [38..][epoch: 0, step: 9,000, lr:(2.000e-04,)] [eta: 1 day, 14:58:09, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 3.8667e+00 l1_pixel_x2_opt: 3.2281e-02 fft_frequency_x2_opt: 2.7630e-02 eagle_pixel_x4_opt: 5.9908e+00 l1_pixel_x4_opt: 5.2261e-02 fft_frequency_x4_opt: 3.9511e-02 +2025-11-04 10:02:37,187 INFO: [38..][epoch: 0, step: 9,100, lr:(2.000e-04,)] [eta: 1 day, 14:55:24, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 4.2672e+00 l1_pixel_x2_opt: 3.0949e-02 fft_frequency_x2_opt: 2.8625e-02 eagle_pixel_x4_opt: 6.8693e+00 l1_pixel_x4_opt: 4.8262e-02 fft_frequency_x4_opt: 4.1616e-02 +2025-11-04 10:04:35,108 INFO: [38..][epoch: 0, step: 9,200, lr:(2.000e-04,)] [eta: 1 day, 14:52:46, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 3.8417e+00 l1_pixel_x2_opt: 3.2318e-02 fft_frequency_x2_opt: 2.9811e-02 eagle_pixel_x4_opt: 5.9034e+00 l1_pixel_x4_opt: 4.8340e-02 fft_frequency_x4_opt: 4.1516e-02 +2025-11-04 10:06:32,610 INFO: [38..][epoch: 0, step: 9,300, lr:(2.000e-04,)] [eta: 1 day, 14:50:03, time (data): 1.173 (0.000)] eagle_pixel_x2_opt: 4.4808e+00 l1_pixel_x2_opt: 3.7652e-02 fft_frequency_x2_opt: 3.1905e-02 eagle_pixel_x4_opt: 7.0858e+00 l1_pixel_x4_opt: 5.8724e-02 fft_frequency_x4_opt: 4.5661e-02 +2025-11-04 10:08:30,318 INFO: [38..][epoch: 0, step: 9,400, lr:(2.000e-04,)] [eta: 1 day, 14:47:24, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.9746e+00 l1_pixel_x2_opt: 3.0917e-02 fft_frequency_x2_opt: 2.7716e-02 eagle_pixel_x4_opt: 6.3211e+00 l1_pixel_x4_opt: 4.8228e-02 fft_frequency_x4_opt: 3.9342e-02 +2025-11-04 10:10:27,677 INFO: [38..][epoch: 0, step: 9,500, lr:(2.000e-04,)] [eta: 1 day, 14:44:41, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 4.7607e+00 l1_pixel_x2_opt: 3.7654e-02 fft_frequency_x2_opt: 3.5316e-02 eagle_pixel_x4_opt: 7.2259e+00 l1_pixel_x4_opt: 5.5687e-02 fft_frequency_x4_opt: 4.8111e-02 +2025-11-04 10:12:26,459 INFO: [38..][epoch: 0, step: 9,600, lr:(2.000e-04,)] [eta: 1 day, 14:42:17, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 4.4866e+00 l1_pixel_x2_opt: 3.6491e-02 fft_frequency_x2_opt: 3.4102e-02 eagle_pixel_x4_opt: 7.1846e+00 l1_pixel_x4_opt: 5.2490e-02 fft_frequency_x4_opt: 4.7367e-02 +2025-11-04 10:14:23,827 INFO: [38..][epoch: 0, step: 9,700, lr:(2.000e-04,)] [eta: 1 day, 14:39:36, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 3.6933e+00 l1_pixel_x2_opt: 3.3370e-02 fft_frequency_x2_opt: 2.8759e-02 eagle_pixel_x4_opt: 5.5859e+00 l1_pixel_x4_opt: 5.1436e-02 fft_frequency_x4_opt: 4.0143e-02 +2025-11-04 10:16:21,195 INFO: [38..][epoch: 0, step: 9,800, lr:(2.000e-04,)] [eta: 1 day, 14:36:56, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.1331e+00 l1_pixel_x2_opt: 3.1210e-02 fft_frequency_x2_opt: 2.9329e-02 eagle_pixel_x4_opt: 6.5142e+00 l1_pixel_x4_opt: 4.9094e-02 fft_frequency_x4_opt: 4.2036e-02 +2025-11-04 10:18:18,671 INFO: [38..][epoch: 0, step: 9,900, lr:(2.000e-04,)] [eta: 1 day, 14:34:18, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.0445e+00 l1_pixel_x2_opt: 3.1715e-02 fft_frequency_x2_opt: 2.9160e-02 eagle_pixel_x4_opt: 6.3451e+00 l1_pixel_x4_opt: 5.0877e-02 fft_frequency_x4_opt: 4.0846e-02 +2025-11-04 10:20:16,002 INFO: [38..][epoch: 0, step: 10,000, lr:(2.000e-04,)] [eta: 1 day, 14:31:39, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.0234e+00 l1_pixel_x2_opt: 3.7184e-02 fft_frequency_x2_opt: 3.3548e-02 eagle_pixel_x4_opt: 6.2886e+00 l1_pixel_x4_opt: 5.4439e-02 fft_frequency_x4_opt: 4.6274e-02 +2025-11-04 10:20:16,003 INFO: Saving models and training states. +2025-11-04 10:23:00,279 INFO: Validation val_x2 + # l1_latent: 1.4251 Best: 1.4251 @ 10000 iter + # pixel_psnr_pt: 32.3790 Best: 32.3790 @ 10000 iter + +2025-11-04 10:25:24,815 INFO: Validation val_x4 + # l1_latent: 1.5704 Best: 1.5704 @ 10000 iter + # l2_latent: 3.9360 Best: 3.9360 @ 10000 iter + # pixel_psnr_pt: 27.8758 Best: 27.8758 @ 10000 iter + +2025-11-04 10:27:22,882 INFO: [38..][epoch: 0, step: 10,100, lr:(2.000e-04,)] [eta: 1 day, 15:27:42, time (data): 1.181 (0.000)] eagle_pixel_x2_opt: 3.7868e+00 l1_pixel_x2_opt: 3.3196e-02 fft_frequency_x2_opt: 3.0393e-02 eagle_pixel_x4_opt: 5.8807e+00 l1_pixel_x4_opt: 5.0399e-02 fft_frequency_x4_opt: 4.2929e-02 +2025-11-04 10:29:20,488 INFO: [38..][epoch: 0, step: 10,200, lr:(2.000e-04,)] [eta: 1 day, 15:24:31, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.4766e+00 l1_pixel_x2_opt: 3.8593e-02 fft_frequency_x2_opt: 3.5326e-02 eagle_pixel_x4_opt: 7.1888e+00 l1_pixel_x4_opt: 5.8325e-02 fft_frequency_x4_opt: 4.9721e-02 +2025-11-04 10:31:18,243 INFO: [38..][epoch: 0, step: 10,300, lr:(2.000e-04,)] [eta: 1 day, 15:21:22, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 4.1638e+00 l1_pixel_x2_opt: 3.6035e-02 fft_frequency_x2_opt: 3.2044e-02 eagle_pixel_x4_opt: 6.3501e+00 l1_pixel_x4_opt: 5.5342e-02 fft_frequency_x4_opt: 4.4320e-02 +2025-11-04 10:33:16,844 INFO: [38..][epoch: 0, step: 10,400, lr:(2.000e-04,)] [eta: 1 day, 15:18:25, time (data): 1.184 (0.000)] eagle_pixel_x2_opt: 3.5842e+00 l1_pixel_x2_opt: 3.1489e-02 fft_frequency_x2_opt: 2.7430e-02 eagle_pixel_x4_opt: 5.4581e+00 l1_pixel_x4_opt: 5.0008e-02 fft_frequency_x4_opt: 3.8800e-02 +2025-11-04 10:35:14,569 INFO: [38..][epoch: 0, step: 10,500, lr:(2.000e-04,)] [eta: 1 day, 15:15:18, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.1346e+00 l1_pixel_x2_opt: 3.7573e-02 fft_frequency_x2_opt: 3.2801e-02 eagle_pixel_x4_opt: 6.3247e+00 l1_pixel_x4_opt: 5.8296e-02 fft_frequency_x4_opt: 4.5275e-02 +2025-11-04 10:37:11,940 INFO: [38..][epoch: 0, step: 10,600, lr:(2.000e-04,)] [eta: 1 day, 15:12:10, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 3.3661e+00 l1_pixel_x2_opt: 2.7702e-02 fft_frequency_x2_opt: 2.5901e-02 eagle_pixel_x4_opt: 5.8047e+00 l1_pixel_x4_opt: 4.2523e-02 fft_frequency_x4_opt: 3.7137e-02 +2025-11-04 10:39:09,082 INFO: [38..][epoch: 0, step: 10,700, lr:(2.000e-04,)] [eta: 1 day, 15:09:00, time (data): 1.172 (0.000)] eagle_pixel_x2_opt: 3.4880e+00 l1_pixel_x2_opt: 3.0905e-02 fft_frequency_x2_opt: 2.8010e-02 eagle_pixel_x4_opt: 5.4626e+00 l1_pixel_x4_opt: 4.7733e-02 fft_frequency_x4_opt: 3.9598e-02 +2025-11-04 10:41:06,553 INFO: [38..][epoch: 0, step: 10,800, lr:(2.000e-04,)] [eta: 1 day, 15:05:55, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.2102e+00 l1_pixel_x2_opt: 3.1908e-02 fft_frequency_x2_opt: 3.0677e-02 eagle_pixel_x4_opt: 6.5891e+00 l1_pixel_x4_opt: 4.9817e-02 fft_frequency_x4_opt: 4.3118e-02 +2025-11-04 10:43:04,598 INFO: [38..][epoch: 0, step: 10,900, lr:(2.000e-04,)] [eta: 1 day, 15:02:57, time (data): 1.191 (0.000)] eagle_pixel_x2_opt: 4.7800e+00 l1_pixel_x2_opt: 3.7992e-02 fft_frequency_x2_opt: 3.4221e-02 eagle_pixel_x4_opt: 7.3440e+00 l1_pixel_x4_opt: 5.7590e-02 fft_frequency_x4_opt: 4.7588e-02 +2025-11-04 10:45:03,084 INFO: [38..][epoch: 0, step: 11,000, lr:(2.000e-04,)] [eta: 1 day, 15:00:05, time (data): 1.187 (0.000)] eagle_pixel_x2_opt: 3.6846e+00 l1_pixel_x2_opt: 3.0240e-02 fft_frequency_x2_opt: 2.7483e-02 eagle_pixel_x4_opt: 6.0694e+00 l1_pixel_x4_opt: 4.8798e-02 fft_frequency_x4_opt: 4.0202e-02 +2025-11-04 10:47:05,828 INFO: [38..][epoch: 0, step: 11,100, lr:(2.000e-04,)] [eta: 1 day, 14:57:57, time (data): 1.189 (0.000)] eagle_pixel_x2_opt: 3.2092e+00 l1_pixel_x2_opt: 3.1450e-02 fft_frequency_x2_opt: 2.9317e-02 eagle_pixel_x4_opt: 5.0609e+00 l1_pixel_x4_opt: 4.6676e-02 fft_frequency_x4_opt: 4.0155e-02 +2025-11-04 10:49:05,372 INFO: [38..][epoch: 0, step: 11,200, lr:(2.000e-04,)] [eta: 1 day, 14:55:17, time (data): 1.193 (0.000)] eagle_pixel_x2_opt: 3.2976e+00 l1_pixel_x2_opt: 3.1828e-02 fft_frequency_x2_opt: 2.9601e-02 eagle_pixel_x4_opt: 5.1544e+00 l1_pixel_x4_opt: 4.7137e-02 fft_frequency_x4_opt: 4.0370e-02 +2025-11-04 10:51:03,756 INFO: [38..][epoch: 0, step: 11,300, lr:(2.000e-04,)] [eta: 1 day, 14:52:27, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 3.9467e+00 l1_pixel_x2_opt: 3.4623e-02 fft_frequency_x2_opt: 3.1647e-02 eagle_pixel_x4_opt: 5.9686e+00 l1_pixel_x4_opt: 5.1977e-02 fft_frequency_x4_opt: 4.4426e-02 +2025-11-04 10:53:01,799 INFO: [38..][epoch: 0, step: 11,400, lr:(2.000e-04,)] [eta: 1 day, 14:49:33, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 4.7858e+00 l1_pixel_x2_opt: 3.5834e-02 fft_frequency_x2_opt: 3.4476e-02 eagle_pixel_x4_opt: 7.8507e+00 l1_pixel_x4_opt: 5.4200e-02 fft_frequency_x4_opt: 4.8522e-02 +2025-11-04 10:55:00,377 INFO: [38..][epoch: 0, step: 11,500, lr:(2.000e-04,)] [eta: 1 day, 14:46:46, time (data): 1.190 (0.000)] eagle_pixel_x2_opt: 5.1944e+00 l1_pixel_x2_opt: 3.9861e-02 fft_frequency_x2_opt: 3.5977e-02 eagle_pixel_x4_opt: 8.1514e+00 l1_pixel_x4_opt: 6.1744e-02 fft_frequency_x4_opt: 5.0782e-02 +2025-11-04 10:57:01,450 INFO: [38..][epoch: 0, step: 11,600, lr:(2.000e-04,)] [eta: 1 day, 14:44:24, time (data): 1.204 (0.000)] eagle_pixel_x2_opt: 3.9813e+00 l1_pixel_x2_opt: 3.6153e-02 fft_frequency_x2_opt: 3.2003e-02 eagle_pixel_x4_opt: 6.1259e+00 l1_pixel_x4_opt: 5.6879e-02 fft_frequency_x4_opt: 4.4807e-02 +2025-11-04 10:59:02,740 INFO: [38..][epoch: 0, step: 11,700, lr:(2.000e-04,)] [eta: 1 day, 14:42:05, time (data): 1.207 (0.000)] eagle_pixel_x2_opt: 3.5919e+00 l1_pixel_x2_opt: 3.2473e-02 fft_frequency_x2_opt: 2.9708e-02 eagle_pixel_x4_opt: 5.5722e+00 l1_pixel_x4_opt: 4.9761e-02 fft_frequency_x4_opt: 4.1281e-02 +2025-11-04 11:01:00,738 INFO: [38..][epoch: 0, step: 11,800, lr:(2.000e-04,)] [eta: 1 day, 14:39:14, time (data): 1.188 (0.000)] eagle_pixel_x2_opt: 3.9084e+00 l1_pixel_x2_opt: 3.1661e-02 fft_frequency_x2_opt: 2.7979e-02 eagle_pixel_x4_opt: 6.0508e+00 l1_pixel_x4_opt: 5.1248e-02 fft_frequency_x4_opt: 4.0572e-02 +2025-11-04 11:03:00,194 INFO: [38..][epoch: 0, step: 11,900, lr:(2.000e-04,)] [eta: 1 day, 14:36:38, time (data): 1.193 (0.000)] eagle_pixel_x2_opt: 4.1176e+00 l1_pixel_x2_opt: 3.3616e-02 fft_frequency_x2_opt: 3.2823e-02 eagle_pixel_x4_opt: 6.3423e+00 l1_pixel_x4_opt: 5.0190e-02 fft_frequency_x4_opt: 4.5194e-02 +2025-11-04 11:04:59,595 INFO: [38..][epoch: 0, step: 12,000, lr:(2.000e-04,)] [eta: 1 day, 14:34:02, time (data): 1.194 (0.000)] eagle_pixel_x2_opt: 4.6582e+00 l1_pixel_x2_opt: 2.9901e-02 fft_frequency_x2_opt: 2.9158e-02 eagle_pixel_x4_opt: 8.1339e+00 l1_pixel_x4_opt: 5.1002e-02 fft_frequency_x4_opt: 4.3898e-02 +2025-11-04 11:06:58,696 INFO: [38..][epoch: 0, step: 12,100, lr:(2.000e-04,)] [eta: 1 day, 14:31:24, time (data): 1.187 (0.000)] eagle_pixel_x2_opt: 3.7836e+00 l1_pixel_x2_opt: 3.0343e-02 fft_frequency_x2_opt: 2.8046e-02 eagle_pixel_x4_opt: 5.9663e+00 l1_pixel_x4_opt: 4.6865e-02 fft_frequency_x4_opt: 3.9150e-02 +2025-11-04 11:08:58,037 INFO: [38..][epoch: 0, step: 12,200, lr:(2.000e-04,)] [eta: 1 day, 14:28:49, time (data): 1.192 (0.000)] eagle_pixel_x2_opt: 3.7800e+00 l1_pixel_x2_opt: 3.4083e-02 fft_frequency_x2_opt: 2.9639e-02 eagle_pixel_x4_opt: 5.8502e+00 l1_pixel_x4_opt: 5.1162e-02 fft_frequency_x4_opt: 4.1647e-02 +2025-11-04 11:10:59,626 INFO: [38..][epoch: 0, step: 12,300, lr:(2.000e-04,)] [eta: 1 day, 14:26:35, time (data): 1.258 (0.001)] eagle_pixel_x2_opt: 3.7619e+00 l1_pixel_x2_opt: 3.2337e-02 fft_frequency_x2_opt: 3.0445e-02 eagle_pixel_x4_opt: 5.7563e+00 l1_pixel_x4_opt: 4.8004e-02 fft_frequency_x4_opt: 4.1976e-02 +2025-11-04 11:12:58,883 INFO: [38..][epoch: 0, step: 12,400, lr:(2.000e-04,)] [eta: 1 day, 14:24:00, time (data): 1.211 (0.000)] eagle_pixel_x2_opt: 4.1281e+00 l1_pixel_x2_opt: 3.5261e-02 fft_frequency_x2_opt: 3.1624e-02 eagle_pixel_x4_opt: 6.6466e+00 l1_pixel_x4_opt: 5.4152e-02 fft_frequency_x4_opt: 4.4938e-02 +2025-11-04 11:14:57,361 INFO: [38..][epoch: 0, step: 12,500, lr:(2.000e-04,)] [eta: 1 day, 14:21:19, time (data): 1.184 (0.000)] eagle_pixel_x2_opt: 3.8731e+00 l1_pixel_x2_opt: 3.3297e-02 fft_frequency_x2_opt: 3.0349e-02 eagle_pixel_x4_opt: 6.3410e+00 l1_pixel_x4_opt: 5.2863e-02 fft_frequency_x4_opt: 4.2270e-02 +2025-11-04 11:16:55,461 INFO: [38..][epoch: 0, step: 12,600, lr:(2.000e-04,)] [eta: 1 day, 14:18:35, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 5.5466e+00 l1_pixel_x2_opt: 3.5165e-02 fft_frequency_x2_opt: 3.5098e-02 eagle_pixel_x4_opt: 8.6800e+00 l1_pixel_x4_opt: 5.7285e-02 fft_frequency_x4_opt: 4.9749e-02 +2025-11-04 11:18:53,947 INFO: [38..][epoch: 0, step: 12,700, lr:(2.000e-04,)] [eta: 1 day, 14:15:55, time (data): 1.179 (0.000)] eagle_pixel_x2_opt: 4.0916e+00 l1_pixel_x2_opt: 3.6486e-02 fft_frequency_x2_opt: 3.2648e-02 eagle_pixel_x4_opt: 6.5106e+00 l1_pixel_x4_opt: 5.3921e-02 fft_frequency_x4_opt: 4.5226e-02 +2025-11-04 11:20:52,312 INFO: [38..][epoch: 0, step: 12,800, lr:(2.000e-04,)] [eta: 1 day, 14:13:14, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 4.4105e+00 l1_pixel_x2_opt: 3.5439e-02 fft_frequency_x2_opt: 3.2256e-02 eagle_pixel_x4_opt: 7.0717e+00 l1_pixel_x4_opt: 5.4420e-02 fft_frequency_x4_opt: 4.5366e-02 +2025-11-04 11:23:00,072 INFO: [38..][epoch: 0, step: 12,900, lr:(2.000e-04,)] [eta: 1 day, 14:11:56, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 4.2210e+00 l1_pixel_x2_opt: 3.3418e-02 fft_frequency_x2_opt: 3.0081e-02 eagle_pixel_x4_opt: 6.8609e+00 l1_pixel_x4_opt: 5.2163e-02 fft_frequency_x4_opt: 4.3111e-02 +2025-11-04 11:24:58,254 INFO: [38..][epoch: 0, step: 13,000, lr:(2.000e-04,)] [eta: 1 day, 14:09:15, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 4.1865e+00 l1_pixel_x2_opt: 3.3925e-02 fft_frequency_x2_opt: 3.1642e-02 eagle_pixel_x4_opt: 6.7637e+00 l1_pixel_x4_opt: 5.1493e-02 fft_frequency_x4_opt: 4.4399e-02 +2025-11-04 11:26:56,348 INFO: [38..][epoch: 0, step: 13,100, lr:(2.000e-04,)] [eta: 1 day, 14:06:33, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 4.1052e+00 l1_pixel_x2_opt: 3.5102e-02 fft_frequency_x2_opt: 3.2014e-02 eagle_pixel_x4_opt: 6.4360e+00 l1_pixel_x4_opt: 5.2217e-02 fft_frequency_x4_opt: 4.5123e-02 +2025-11-04 11:28:54,427 INFO: [38..][epoch: 0, step: 13,200, lr:(2.000e-04,)] [eta: 1 day, 14:03:52, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 4.4270e+00 l1_pixel_x2_opt: 3.3391e-02 fft_frequency_x2_opt: 3.0570e-02 eagle_pixel_x4_opt: 6.9313e+00 l1_pixel_x4_opt: 5.1333e-02 fft_frequency_x4_opt: 4.2709e-02 +2025-11-04 11:30:52,649 INFO: [38..][epoch: 0, step: 13,300, lr:(2.000e-04,)] [eta: 1 day, 14:01:13, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 3.9339e+00 l1_pixel_x2_opt: 3.1311e-02 fft_frequency_x2_opt: 2.8479e-02 eagle_pixel_x4_opt: 6.1839e+00 l1_pixel_x4_opt: 4.9309e-02 fft_frequency_x4_opt: 4.0658e-02 +2025-11-04 11:32:50,676 INFO: [38..][epoch: 0, step: 13,400, lr:(2.000e-04,)] [eta: 1 day, 13:58:33, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 3.5736e+00 l1_pixel_x2_opt: 3.3614e-02 fft_frequency_x2_opt: 3.0877e-02 eagle_pixel_x4_opt: 5.3764e+00 l1_pixel_x4_opt: 5.0183e-02 fft_frequency_x4_opt: 4.1974e-02 +2025-11-04 11:34:48,533 INFO: [38..][epoch: 0, step: 13,500, lr:(2.000e-04,)] [eta: 1 day, 13:55:52, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.4842e+00 l1_pixel_x2_opt: 3.4158e-02 fft_frequency_x2_opt: 3.3858e-02 eagle_pixel_x4_opt: 7.0197e+00 l1_pixel_x4_opt: 5.1514e-02 fft_frequency_x4_opt: 4.6763e-02 +2025-11-04 11:36:46,380 INFO: [38..][epoch: 0, step: 13,600, lr:(2.000e-04,)] [eta: 1 day, 13:53:12, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.2720e+00 l1_pixel_x2_opt: 3.0032e-02 fft_frequency_x2_opt: 2.8138e-02 eagle_pixel_x4_opt: 7.1524e+00 l1_pixel_x4_opt: 4.9230e-02 fft_frequency_x4_opt: 4.1476e-02 +2025-11-04 11:38:44,393 INFO: [38..][epoch: 0, step: 13,700, lr:(2.000e-04,)] [eta: 1 day, 13:50:34, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 4.6345e+00 l1_pixel_x2_opt: 3.4652e-02 fft_frequency_x2_opt: 3.1367e-02 eagle_pixel_x4_opt: 7.4270e+00 l1_pixel_x4_opt: 5.4643e-02 fft_frequency_x4_opt: 4.4968e-02 +2025-11-04 11:40:42,486 INFO: [38..][epoch: 0, step: 13,800, lr:(2.000e-04,)] [eta: 1 day, 13:47:57, time (data): 1.181 (0.000)] eagle_pixel_x2_opt: 3.5881e+00 l1_pixel_x2_opt: 2.9814e-02 fft_frequency_x2_opt: 2.7517e-02 eagle_pixel_x4_opt: 5.7362e+00 l1_pixel_x4_opt: 4.6740e-02 fft_frequency_x4_opt: 3.8821e-02 +2025-11-04 11:42:39,953 INFO: [38..][epoch: 0, step: 13,900, lr:(2.000e-04,)] [eta: 1 day, 13:45:15, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.6900e+00 l1_pixel_x2_opt: 3.3645e-02 fft_frequency_x2_opt: 3.0951e-02 eagle_pixel_x4_opt: 5.4581e+00 l1_pixel_x4_opt: 5.1501e-02 fft_frequency_x4_opt: 4.2276e-02 +2025-11-04 11:44:37,396 INFO: [38..][epoch: 0, step: 14,000, lr:(2.000e-04,)] [eta: 1 day, 13:42:34, time (data): 1.175 (0.000)] eagle_pixel_x2_opt: 4.4689e+00 l1_pixel_x2_opt: 3.2346e-02 fft_frequency_x2_opt: 2.9868e-02 eagle_pixel_x4_opt: 7.4070e+00 l1_pixel_x4_opt: 5.0063e-02 fft_frequency_x4_opt: 4.3324e-02 +2025-11-04 11:46:34,755 INFO: [38..][epoch: 0, step: 14,100, lr:(2.000e-04,)] [eta: 1 day, 13:39:53, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.4447e+00 l1_pixel_x2_opt: 3.3373e-02 fft_frequency_x2_opt: 3.0613e-02 eagle_pixel_x4_opt: 7.1319e+00 l1_pixel_x4_opt: 5.2413e-02 fft_frequency_x4_opt: 4.4125e-02 +2025-11-04 11:48:32,104 INFO: [38..][epoch: 0, step: 14,200, lr:(2.000e-04,)] [eta: 1 day, 13:37:12, time (data): 1.174 (0.000)] eagle_pixel_x2_opt: 4.4010e+00 l1_pixel_x2_opt: 3.3789e-02 fft_frequency_x2_opt: 3.1934e-02 eagle_pixel_x4_opt: 6.9182e+00 l1_pixel_x4_opt: 5.2295e-02 fft_frequency_x4_opt: 4.5580e-02 +2025-11-04 11:50:29,750 INFO: [38..][epoch: 0, step: 14,300, lr:(2.000e-04,)] [eta: 1 day, 13:34:34, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.1429e+00 l1_pixel_x2_opt: 3.4632e-02 fft_frequency_x2_opt: 3.2615e-02 eagle_pixel_x4_opt: 6.3559e+00 l1_pixel_x4_opt: 5.1337e-02 fft_frequency_x4_opt: 4.4606e-02 +2025-11-04 11:52:29,691 INFO: [38..][epoch: 0, step: 14,400, lr:(2.000e-04,)] [eta: 1 day, 13:32:15, time (data): 1.195 (0.000)] eagle_pixel_x2_opt: 4.5599e+00 l1_pixel_x2_opt: 3.8627e-02 fft_frequency_x2_opt: 3.6306e-02 eagle_pixel_x4_opt: 6.8563e+00 l1_pixel_x4_opt: 5.7215e-02 fft_frequency_x4_opt: 4.9454e-02 +2025-11-04 11:54:27,978 INFO: [38..][epoch: 0, step: 14,500, lr:(2.000e-04,)] [eta: 1 day, 13:29:43, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 5.6597e+00 l1_pixel_x2_opt: 4.1892e-02 fft_frequency_x2_opt: 3.7984e-02 eagle_pixel_x4_opt: 8.8986e+00 l1_pixel_x4_opt: 6.3066e-02 fft_frequency_x4_opt: 5.4460e-02 +2025-11-04 11:56:26,724 INFO: [38..][epoch: 0, step: 14,600, lr:(2.000e-04,)] [eta: 1 day, 13:27:15, time (data): 1.185 (0.000)] eagle_pixel_x2_opt: 4.3926e+00 l1_pixel_x2_opt: 3.5087e-02 fft_frequency_x2_opt: 3.1783e-02 eagle_pixel_x4_opt: 7.1319e+00 l1_pixel_x4_opt: 5.6382e-02 fft_frequency_x4_opt: 4.5922e-02 +2025-11-04 11:58:24,783 INFO: [38..][epoch: 0, step: 14,700, lr:(2.000e-04,)] [eta: 1 day, 13:24:42, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.3015e+00 l1_pixel_x2_opt: 3.4813e-02 fft_frequency_x2_opt: 3.2028e-02 eagle_pixel_x4_opt: 6.6025e+00 l1_pixel_x4_opt: 5.1988e-02 fft_frequency_x4_opt: 4.4531e-02 +2025-11-04 12:00:22,487 INFO: [38..][epoch: 0, step: 14,800, lr:(2.000e-04,)] [eta: 1 day, 13:22:07, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 4.0796e+00 l1_pixel_x2_opt: 3.3074e-02 fft_frequency_x2_opt: 2.8625e-02 eagle_pixel_x4_opt: 6.2413e+00 l1_pixel_x4_opt: 5.3787e-02 fft_frequency_x4_opt: 4.1294e-02 +2025-11-04 12:02:20,766 INFO: [38..][epoch: 0, step: 14,900, lr:(2.000e-04,)] [eta: 1 day, 13:19:37, time (data): 1.187 (0.000)] eagle_pixel_x2_opt: 4.7318e+00 l1_pixel_x2_opt: 3.9340e-02 fft_frequency_x2_opt: 3.5416e-02 eagle_pixel_x4_opt: 7.5415e+00 l1_pixel_x4_opt: 5.9318e-02 fft_frequency_x4_opt: 5.0010e-02 +2025-11-04 12:04:19,588 INFO: [38..][epoch: 0, step: 15,000, lr:(2.000e-04,)] [eta: 1 day, 13:17:11, time (data): 1.188 (0.000)] eagle_pixel_x2_opt: 3.8577e+00 l1_pixel_x2_opt: 3.3427e-02 fft_frequency_x2_opt: 2.9079e-02 eagle_pixel_x4_opt: 5.7611e+00 l1_pixel_x4_opt: 5.3938e-02 fft_frequency_x4_opt: 4.0957e-02 +2025-11-04 12:04:19,589 INFO: Saving models and training states. +2025-11-04 12:06:45,563 INFO: Validation val_x2 + # l1_latent: 1.4108 Best: 1.4251 @ 10000 iter + # pixel_psnr_pt: 32.4304 Best: 32.4304 @ 15000 iter + +2025-11-04 12:09:08,908 INFO: Validation val_x4 + # l1_latent: 1.5661 Best: 1.5704 @ 10000 iter + # l2_latent: 3.9147 Best: 3.9360 @ 10000 iter + # pixel_psnr_pt: 27.8913 Best: 27.8913 @ 15000 iter + +2025-11-04 12:11:08,709 INFO: [38..][epoch: 0, step: 15,100, lr:(2.000e-04,)] [eta: 1 day, 13:49:59, time (data): 1.216 (0.000)] eagle_pixel_x2_opt: 4.3539e+00 l1_pixel_x2_opt: 3.4771e-02 fft_frequency_x2_opt: 3.2992e-02 eagle_pixel_x4_opt: 7.0038e+00 l1_pixel_x4_opt: 5.1900e-02 fft_frequency_x4_opt: 4.6470e-02 +2025-11-04 12:13:09,784 INFO: [38..][epoch: 0, step: 15,200, lr:(2.000e-04,)] [eta: 1 day, 13:47:34, time (data): 1.212 (0.000)] eagle_pixel_x2_opt: 3.8787e+00 l1_pixel_x2_opt: 3.2640e-02 fft_frequency_x2_opt: 2.8846e-02 eagle_pixel_x4_opt: 6.1583e+00 l1_pixel_x4_opt: 5.2829e-02 fft_frequency_x4_opt: 4.1483e-02 +2025-11-04 12:15:08,373 INFO: [38..][epoch: 0, step: 15,300, lr:(2.000e-04,)] [eta: 1 day, 13:44:52, time (data): 1.187 (0.000)] eagle_pixel_x2_opt: 4.2740e+00 l1_pixel_x2_opt: 3.3909e-02 fft_frequency_x2_opt: 3.2306e-02 eagle_pixel_x4_opt: 6.8678e+00 l1_pixel_x4_opt: 5.2007e-02 fft_frequency_x4_opt: 4.6025e-02 +2025-11-04 12:17:07,303 INFO: [38..][epoch: 0, step: 15,400, lr:(2.000e-04,)] [eta: 1 day, 13:42:13, time (data): 1.189 (0.000)] eagle_pixel_x2_opt: 3.7141e+00 l1_pixel_x2_opt: 3.2695e-02 fft_frequency_x2_opt: 3.0907e-02 eagle_pixel_x4_opt: 5.5717e+00 l1_pixel_x4_opt: 4.7437e-02 fft_frequency_x4_opt: 4.1212e-02 +2025-11-04 12:19:06,425 INFO: [38..][epoch: 0, step: 15,500, lr:(2.000e-04,)] [eta: 1 day, 13:39:36, time (data): 1.195 (0.000)] eagle_pixel_x2_opt: 4.2120e+00 l1_pixel_x2_opt: 3.6471e-02 fft_frequency_x2_opt: 3.2766e-02 eagle_pixel_x4_opt: 6.8465e+00 l1_pixel_x4_opt: 5.6402e-02 fft_frequency_x4_opt: 4.7242e-02 +2025-11-04 12:21:05,705 INFO: [38..][epoch: 0, step: 15,600, lr:(2.000e-04,)] [eta: 1 day, 13:37:00, time (data): 1.193 (0.000)] eagle_pixel_x2_opt: 3.7594e+00 l1_pixel_x2_opt: 2.8291e-02 fft_frequency_x2_opt: 2.7100e-02 eagle_pixel_x4_opt: 5.7848e+00 l1_pixel_x4_opt: 4.5187e-02 fft_frequency_x4_opt: 3.8224e-02 +2025-11-04 12:23:04,587 INFO: [38..][epoch: 0, step: 15,700, lr:(2.000e-04,)] [eta: 1 day, 13:34:22, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 4.0016e+00 l1_pixel_x2_opt: 3.6784e-02 fft_frequency_x2_opt: 3.2103e-02 eagle_pixel_x4_opt: 6.2388e+00 l1_pixel_x4_opt: 5.5054e-02 fft_frequency_x4_opt: 4.4219e-02 +2025-11-04 12:25:03,823 INFO: [38..][epoch: 0, step: 15,800, lr:(2.000e-04,)] [eta: 1 day, 13:31:47, time (data): 1.190 (0.000)] eagle_pixel_x2_opt: 4.0156e+00 l1_pixel_x2_opt: 3.8552e-02 fft_frequency_x2_opt: 3.3452e-02 eagle_pixel_x4_opt: 5.8733e+00 l1_pixel_x4_opt: 5.6341e-02 fft_frequency_x4_opt: 4.5076e-02 +2025-11-04 12:27:02,388 INFO: [38..][epoch: 0, step: 15,900, lr:(2.000e-04,)] [eta: 1 day, 13:29:08, time (data): 1.187 (0.000)] eagle_pixel_x2_opt: 4.3092e+00 l1_pixel_x2_opt: 3.1840e-02 fft_frequency_x2_opt: 3.0540e-02 eagle_pixel_x4_opt: 6.8986e+00 l1_pixel_x4_opt: 4.9355e-02 fft_frequency_x4_opt: 4.3514e-02 +2025-11-04 12:29:01,748 INFO: [38..][epoch: 0, step: 16,000, lr:(2.000e-04,)] [eta: 1 day, 13:26:35, time (data): 1.192 (0.000)] eagle_pixel_x2_opt: 3.2362e+00 l1_pixel_x2_opt: 3.1864e-02 fft_frequency_x2_opt: 2.7362e-02 eagle_pixel_x4_opt: 4.9036e+00 l1_pixel_x4_opt: 4.9450e-02 fft_frequency_x4_opt: 3.7231e-02 +2025-11-04 12:31:01,007 INFO: [38..][epoch: 0, step: 16,100, lr:(2.000e-04,)] [eta: 1 day, 13:24:01, time (data): 1.188 (0.000)] eagle_pixel_x2_opt: 4.3303e+00 l1_pixel_x2_opt: 3.4481e-02 fft_frequency_x2_opt: 3.1646e-02 eagle_pixel_x4_opt: 6.4040e+00 l1_pixel_x4_opt: 5.2165e-02 fft_frequency_x4_opt: 4.3200e-02 +2025-11-04 12:32:59,770 INFO: [38..][epoch: 0, step: 16,200, lr:(2.000e-04,)] [eta: 1 day, 13:21:25, time (data): 1.188 (0.000)] eagle_pixel_x2_opt: 3.6230e+00 l1_pixel_x2_opt: 3.4650e-02 fft_frequency_x2_opt: 3.1722e-02 eagle_pixel_x4_opt: 5.9594e+00 l1_pixel_x4_opt: 5.1833e-02 fft_frequency_x4_opt: 4.4188e-02 +2025-11-04 12:34:58,977 INFO: [38..][epoch: 0, step: 16,300, lr:(2.000e-04,)] [eta: 1 day, 13:18:52, time (data): 1.199 (0.000)] eagle_pixel_x2_opt: 3.9933e+00 l1_pixel_x2_opt: 2.9777e-02 fft_frequency_x2_opt: 2.7856e-02 eagle_pixel_x4_opt: 6.3885e+00 l1_pixel_x4_opt: 4.6985e-02 fft_frequency_x4_opt: 3.9978e-02 +2025-11-04 12:36:58,331 INFO: [38..][epoch: 0, step: 16,400, lr:(2.000e-04,)] [eta: 1 day, 13:16:20, time (data): 1.194 (0.000)] eagle_pixel_x2_opt: 4.4251e+00 l1_pixel_x2_opt: 3.5626e-02 fft_frequency_x2_opt: 3.1067e-02 eagle_pixel_x4_opt: 6.9561e+00 l1_pixel_x4_opt: 5.5896e-02 fft_frequency_x4_opt: 4.4238e-02 +2025-11-04 12:38:57,291 INFO: [38..][epoch: 0, step: 16,500, lr:(2.000e-04,)] [eta: 1 day, 13:13:47, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 3.9652e+00 l1_pixel_x2_opt: 2.8284e-02 fft_frequency_x2_opt: 2.8349e-02 eagle_pixel_x4_opt: 6.4511e+00 l1_pixel_x4_opt: 4.5580e-02 fft_frequency_x4_opt: 4.0665e-02 +2025-11-04 12:40:55,718 INFO: [38..][epoch: 0, step: 16,600, lr:(2.000e-04,)] [eta: 1 day, 13:11:10, time (data): 1.184 (0.000)] eagle_pixel_x2_opt: 3.5921e+00 l1_pixel_x2_opt: 2.8487e-02 fft_frequency_x2_opt: 2.7808e-02 eagle_pixel_x4_opt: 5.4646e+00 l1_pixel_x4_opt: 4.3371e-02 fft_frequency_x4_opt: 3.8731e-02 +2025-11-04 12:42:54,413 INFO: [38..][epoch: 0, step: 16,700, lr:(2.000e-04,)] [eta: 1 day, 13:08:35, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 4.0546e+00 l1_pixel_x2_opt: 3.2941e-02 fft_frequency_x2_opt: 2.8888e-02 eagle_pixel_x4_opt: 6.4790e+00 l1_pixel_x4_opt: 5.3344e-02 fft_frequency_x4_opt: 4.2249e-02 +2025-11-04 12:44:52,836 INFO: [38..][epoch: 0, step: 16,800, lr:(2.000e-04,)] [eta: 1 day, 13:05:59, time (data): 1.184 (0.000)] eagle_pixel_x2_opt: 4.5058e+00 l1_pixel_x2_opt: 3.5052e-02 fft_frequency_x2_opt: 3.3383e-02 eagle_pixel_x4_opt: 6.3924e+00 l1_pixel_x4_opt: 5.2236e-02 fft_frequency_x4_opt: 4.5245e-02 +2025-11-04 12:46:50,872 INFO: [38..][epoch: 0, step: 16,900, lr:(2.000e-04,)] [eta: 1 day, 13:03:21, time (data): 1.181 (0.000)] eagle_pixel_x2_opt: 4.0594e+00 l1_pixel_x2_opt: 3.2134e-02 fft_frequency_x2_opt: 2.7696e-02 eagle_pixel_x4_opt: 6.0788e+00 l1_pixel_x4_opt: 5.2151e-02 fft_frequency_x4_opt: 3.9645e-02 +2025-11-04 12:48:49,267 INFO: [38..][epoch: 0, step: 17,000, lr:(2.000e-04,)] [eta: 1 day, 13:00:46, time (data): 1.184 (0.000)] eagle_pixel_x2_opt: 4.1325e+00 l1_pixel_x2_opt: 2.9755e-02 fft_frequency_x2_opt: 2.7708e-02 eagle_pixel_x4_opt: 6.6643e+00 l1_pixel_x4_opt: 5.1301e-02 fft_frequency_x4_opt: 4.1116e-02 +2025-11-04 12:50:47,378 INFO: [38..][epoch: 0, step: 17,100, lr:(2.000e-04,)] [eta: 1 day, 12:58:09, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 3.9990e+00 l1_pixel_x2_opt: 3.1518e-02 fft_frequency_x2_opt: 2.8030e-02 eagle_pixel_x4_opt: 6.3785e+00 l1_pixel_x4_opt: 4.9904e-02 fft_frequency_x4_opt: 4.0044e-02 +2025-11-04 12:52:45,631 INFO: [38..][epoch: 0, step: 17,200, lr:(2.000e-04,)] [eta: 1 day, 12:55:34, time (data): 1.182 (0.000)] eagle_pixel_x2_opt: 3.7929e+00 l1_pixel_x2_opt: 3.2898e-02 fft_frequency_x2_opt: 3.0857e-02 eagle_pixel_x4_opt: 5.5698e+00 l1_pixel_x4_opt: 4.9629e-02 fft_frequency_x4_opt: 4.2229e-02 +2025-11-04 12:54:43,761 INFO: [38..][epoch: 0, step: 17,300, lr:(2.000e-04,)] [eta: 1 day, 12:52:59, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 3.7738e+00 l1_pixel_x2_opt: 4.0358e-02 fft_frequency_x2_opt: 3.0689e-02 eagle_pixel_x4_opt: 5.0873e+00 l1_pixel_x4_opt: 6.9436e-02 fft_frequency_x4_opt: 4.2954e-02 +2025-11-04 12:55:03,071 ERROR: Encountered non-finite generator loss at iter 17317; skipping update. +2025-11-04 12:55:03,072 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,073 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,073 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:03,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=15.47, mean=-0.04288, std=3.599, absmax=15.47 +2025-11-04 12:55:03,105 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=13.8, mean=-1.121e-05, std=3.393, absmax=13.8 +2025-11-04 12:55:03,462 ERROR: Encountered non-finite generator loss at iter 17318; skipping update. +2025-11-04 12:55:03,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:03,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.76, mean=-0.2579, std=3.413, absmax=14.76 +2025-11-04 12:55:03,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=13.58, mean=-0.2458, std=3.072, absmax=13.58 +2025-11-04 12:55:03,822 ERROR: Encountered non-finite generator loss at iter 17319; skipping update. +2025-11-04 12:55:03,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:03,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:03,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.92, mean=-0.0986, std=2.732, absmax=11.92 +2025-11-04 12:55:03,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=11.55, mean=-0.1033, std=2.514, absmax=11.55 +2025-11-04 12:55:04,182 ERROR: Encountered non-finite generator loss at iter 17320; skipping update. +2025-11-04 12:55:04,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:04,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=11.7, mean=-0.1854, std=3.089, absmax=13.82 +2025-11-04 12:55:04,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=9.527, mean=-0.2205, std=2.927, absmax=13.22 +2025-11-04 12:55:04,542 ERROR: Encountered non-finite generator loss at iter 17321; skipping update. +2025-11-04 12:55:04,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:04,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.36, max=10.99, mean=-0.1131, std=2.613, absmax=10.99 +2025-11-04 12:55:04,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=9.569, mean=-0.08817, std=2.403, absmax=10.09 +2025-11-04 12:55:04,902 ERROR: Encountered non-finite generator loss at iter 17322; skipping update. +2025-11-04 12:55:04,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:04,904 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:04,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.59, max=13.84, mean=-0.02126, std=3.406, absmax=16.59 +2025-11-04 12:55:04,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.99, max=12.77, mean=0.002885, std=3.127, absmax=14.99 +2025-11-04 12:55:05,262 ERROR: Encountered non-finite generator loss at iter 17323; skipping update. +2025-11-04 12:55:05,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:05,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.02, mean=-0.3492, std=3.078, absmax=14.26 +2025-11-04 12:55:05,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=14.08, mean=-0.3118, std=2.893, absmax=14.08 +2025-11-04 12:55:05,622 ERROR: Encountered non-finite generator loss at iter 17324; skipping update. +2025-11-04 12:55:05,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:05,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.39, max=15.41, mean=-0.1696, std=3.72, absmax=15.41 +2025-11-04 12:55:05,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=14.07, mean=-0.1437, std=3.443, absmax=14.07 +2025-11-04 12:55:05,983 ERROR: Encountered non-finite generator loss at iter 17325; skipping update. +2025-11-04 12:55:05,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:05,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:05,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.46, mean=-0.2349, std=2.969, absmax=12.08 +2025-11-04 12:55:05,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.88, mean=-0.2307, std=2.782, absmax=11.77 +2025-11-04 12:55:06,342 ERROR: Encountered non-finite generator loss at iter 17326; skipping update. +2025-11-04 12:55:06,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:06,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:06,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:06,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:06,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=13.01, mean=-0.1643, std=2.966, absmax=13.01 +2025-11-04 12:55:06,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=11.34, mean=-0.1666, std=2.77, absmax=11.34 +2025-11-04 12:55:06,702 ERROR: Encountered non-finite generator loss at iter 17327; skipping update. +2025-11-04 12:55:06,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:06,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:06,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:06,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:06,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.94, mean=0.01868, std=3.07, absmax=13.94 +2025-11-04 12:55:06,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.08, max=12.49, mean=0.01892, std=2.843, absmax=14.08 +2025-11-04 12:55:07,062 ERROR: Encountered non-finite generator loss at iter 17328; skipping update. +2025-11-04 12:55:07,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:07,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.21, mean=-0.1108, std=3.231, absmax=13.21 +2025-11-04 12:55:07,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=12.31, mean=-0.1006, std=2.954, absmax=12.31 +2025-11-04 12:55:07,424 ERROR: Encountered non-finite generator loss at iter 17329; skipping update. +2025-11-04 12:55:07,424 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,425 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:07,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=15.66, mean=-0.2357, std=2.959, absmax=15.66 +2025-11-04 12:55:07,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=16.01, mean=-0.2382, std=2.71, absmax=16.01 +2025-11-04 12:55:07,784 ERROR: Encountered non-finite generator loss at iter 17330; skipping update. +2025-11-04 12:55:07,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:07,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:07,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.69, mean=0.08499, std=3.399, absmax=14.69 +2025-11-04 12:55:07,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=13.73, mean=0.06214, std=3.166, absmax=13.73 +2025-11-04 12:55:08,145 ERROR: Encountered non-finite generator loss at iter 17331; skipping update. +2025-11-04 12:55:08,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:08,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.95, mean=-0.3513, std=3.276, absmax=13.49 +2025-11-04 12:55:08,147 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=10.5, mean=-0.2936, std=3.081, absmax=12.14 +2025-11-04 12:55:08,504 ERROR: Encountered non-finite generator loss at iter 17332; skipping update. +2025-11-04 12:55:08,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:08,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.1, mean=-0.1448, std=3.09, absmax=13.1 +2025-11-04 12:55:08,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.49, mean=-0.1417, std=2.879, absmax=11.49 +2025-11-04 12:55:08,865 ERROR: Encountered non-finite generator loss at iter 17333; skipping update. +2025-11-04 12:55:08,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:08,867 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:08,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.08, mean=-0.2548, std=3.133, absmax=13.32 +2025-11-04 12:55:08,868 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=11.89, mean=-0.2183, std=2.9, absmax=12 +2025-11-04 12:55:09,225 ERROR: Encountered non-finite generator loss at iter 17334; skipping update. +2025-11-04 12:55:09,226 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,227 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:09,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.94, mean=-0.08005, std=3.154, absmax=13.94 +2025-11-04 12:55:09,228 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=14.09, mean=-0.0757, std=2.914, absmax=14.09 +2025-11-04 12:55:09,586 ERROR: Encountered non-finite generator loss at iter 17335; skipping update. +2025-11-04 12:55:09,586 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,587 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,588 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:09,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=10.5, mean=-0.3518, std=2.753, absmax=13.12 +2025-11-04 12:55:09,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=10.22, mean=-0.3206, std=2.568, absmax=12.63 +2025-11-04 12:55:09,946 ERROR: Encountered non-finite generator loss at iter 17336; skipping update. +2025-11-04 12:55:09,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,947 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:09,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:09,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=12.85, mean=-0.2265, std=2.648, absmax=12.85 +2025-11-04 12:55:09,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=10.86, mean=-0.2125, std=2.492, absmax=10.86 +2025-11-04 12:55:10,307 ERROR: Encountered non-finite generator loss at iter 17337; skipping update. +2025-11-04 12:55:10,308 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:10,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:10,309 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:10,309 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:10,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.12, mean=-0.02351, std=3.125, absmax=13.12 +2025-11-04 12:55:10,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.78, mean=-0.01897, std=2.783, absmax=11.14 +2025-11-04 12:55:10,667 ERROR: Encountered non-finite generator loss at iter 17338; skipping update. +2025-11-04 12:55:10,668 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:10,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:10,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:10,669 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:10,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.39, mean=-0.3104, std=2.411, absmax=14.39 +2025-11-04 12:55:10,670 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=9.143, mean=-0.2691, std=2.316, absmax=11.44 +2025-11-04 12:55:11,028 ERROR: Encountered non-finite generator loss at iter 17339; skipping update. +2025-11-04 12:55:11,028 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,029 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,029 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:11,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=14.43, mean=-0.0892, std=3.878, absmax=14.43 +2025-11-04 12:55:11,030 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=14.95, mean=-0.04142, std=3.626, absmax=14.95 +2025-11-04 12:55:11,387 ERROR: Encountered non-finite generator loss at iter 17340; skipping update. +2025-11-04 12:55:11,388 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,389 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,389 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:11,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.19, mean=-0.2106, std=2.859, absmax=12.44 +2025-11-04 12:55:11,391 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=11.09, mean=-0.2019, std=2.622, absmax=11.09 +2025-11-04 12:55:11,748 ERROR: Encountered non-finite generator loss at iter 17341; skipping update. +2025-11-04 12:55:11,749 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,750 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:11,750 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:11,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.39, max=11.91, mean=-0.1351, std=2.853, absmax=15.39 +2025-11-04 12:55:11,751 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=10.81, mean=-0.1173, std=2.644, absmax=12.58 +2025-11-04 12:55:12,108 ERROR: Encountered non-finite generator loss at iter 17342; skipping update. +2025-11-04 12:55:12,109 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,110 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:12,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=15.5, mean=-0.2226, std=3.201, absmax=15.5 +2025-11-04 12:55:12,112 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=10.67, mean=-0.2409, std=2.899, absmax=11.67 +2025-11-04 12:55:12,468 ERROR: Encountered non-finite generator loss at iter 17343; skipping update. +2025-11-04 12:55:12,469 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,470 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:12,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.43, max=16.75, mean=-0.3452, std=3.875, absmax=16.75 +2025-11-04 12:55:12,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=10.39, mean=-0.3377, std=3.509, absmax=12.85 +2025-11-04 12:55:12,828 ERROR: Encountered non-finite generator loss at iter 17344; skipping update. +2025-11-04 12:55:12,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:12,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:12,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.56, mean=-0.1818, std=2.845, absmax=13.11 +2025-11-04 12:55:12,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=11.96, mean=-0.1459, std=2.718, absmax=12.24 +2025-11-04 12:55:13,189 ERROR: Encountered non-finite generator loss at iter 17345; skipping update. +2025-11-04 12:55:13,190 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,191 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,191 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:13,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=13.46, mean=-0.1405, std=2.864, absmax=13.46 +2025-11-04 12:55:13,192 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=11.68, mean=-0.1134, std=2.653, absmax=11.68 +2025-11-04 12:55:13,549 ERROR: Encountered non-finite generator loss at iter 17346; skipping update. +2025-11-04 12:55:13,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:13,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.84, mean=-0.08676, std=2.334, absmax=13.84 +2025-11-04 12:55:13,553 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.33, mean=-0.1282, std=2.236, absmax=11.33 +2025-11-04 12:55:13,910 ERROR: Encountered non-finite generator loss at iter 17347; skipping update. +2025-11-04 12:55:13,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:13,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:13,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.3, mean=-0.1046, std=3.107, absmax=13.3 +2025-11-04 12:55:13,913 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=12.91, mean=-0.08851, std=2.787, absmax=12.91 +2025-11-04 12:55:14,270 ERROR: Encountered non-finite generator loss at iter 17348; skipping update. +2025-11-04 12:55:14,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:14,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.81, mean=-0.1681, std=2.816, absmax=13.49 +2025-11-04 12:55:14,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.83, mean=-0.1617, std=2.54, absmax=12.29 +2025-11-04 12:55:14,631 ERROR: Encountered non-finite generator loss at iter 17349; skipping update. +2025-11-04 12:55:14,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:14,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=16.16, mean=-0.3484, std=2.996, absmax=16.16 +2025-11-04 12:55:14,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=13.55, mean=-0.3198, std=2.802, absmax=13.55 +2025-11-04 12:55:14,992 ERROR: Encountered non-finite generator loss at iter 17350; skipping update. +2025-11-04 12:55:14,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:14,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:14,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.35, mean=-0.2673, std=3.305, absmax=14.35 +2025-11-04 12:55:14,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=13.12, mean=-0.2332, std=3.134, absmax=13.12 +2025-11-04 12:55:15,352 ERROR: Encountered non-finite generator loss at iter 17351; skipping update. +2025-11-04 12:55:15,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:15,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:15,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:15,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:15,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.26, mean=-0.1396, std=3.318, absmax=13.72 +2025-11-04 12:55:15,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=12.01, mean=-0.09784, std=3.086, absmax=12.57 +2025-11-04 12:55:15,713 ERROR: Encountered non-finite generator loss at iter 17352; skipping update. +2025-11-04 12:55:15,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:15,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:15,715 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:15,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:15,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=14.34, mean=-0.2154, std=2.573, absmax=14.34 +2025-11-04 12:55:15,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=9.847, mean=-0.1582, std=2.525, absmax=11.14 +2025-11-04 12:55:16,073 ERROR: Encountered non-finite generator loss at iter 17353; skipping update. +2025-11-04 12:55:16,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:16,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=9.242, mean=-0.2059, std=2.42, absmax=13.39 +2025-11-04 12:55:16,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=8.927, mean=-0.1742, std=2.356, absmax=12.41 +2025-11-04 12:55:16,433 ERROR: Encountered non-finite generator loss at iter 17354; skipping update. +2025-11-04 12:55:16,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:16,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=11.95, mean=-0.03782, std=2.714, absmax=14.87 +2025-11-04 12:55:16,436 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=10.34, mean=-0.0555, std=2.54, absmax=13.17 +2025-11-04 12:55:16,793 ERROR: Encountered non-finite generator loss at iter 17355; skipping update. +2025-11-04 12:55:16,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,795 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:16,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:16,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.33, max=15.16, mean=-0.09131, std=3.41, absmax=17.33 +2025-11-04 12:55:16,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.26, max=15.04, mean=-0.03637, std=3.332, absmax=15.26 +2025-11-04 12:55:17,153 ERROR: Encountered non-finite generator loss at iter 17356; skipping update. +2025-11-04 12:55:17,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,155 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:17,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=12.63, mean=0.022, std=3.005, absmax=12.63 +2025-11-04 12:55:17,156 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=11.36, mean=0.0106, std=2.814, absmax=11.36 +2025-11-04 12:55:17,513 ERROR: Encountered non-finite generator loss at iter 17357; skipping update. +2025-11-04 12:55:17,514 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,515 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:17,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=11.87, mean=-0.247, std=3.563, absmax=14.63 +2025-11-04 12:55:17,517 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=10.4, mean=-0.2165, std=3.297, absmax=13.09 +2025-11-04 12:55:17,873 ERROR: Encountered non-finite generator loss at iter 17358; skipping update. +2025-11-04 12:55:17,874 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:17,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:17,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.84, mean=0.003118, std=3.021, absmax=11.84 +2025-11-04 12:55:17,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=11.99, mean=-0.01327, std=2.86, absmax=11.99 +2025-11-04 12:55:18,234 ERROR: Encountered non-finite generator loss at iter 17359; skipping update. +2025-11-04 12:55:18,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:18,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=17.82, mean=-0.193, std=3.235, absmax=17.82 +2025-11-04 12:55:18,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=14.31, mean=-0.2252, std=3.146, absmax=14.31 +2025-11-04 12:55:18,594 ERROR: Encountered non-finite generator loss at iter 17360; skipping update. +2025-11-04 12:55:18,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,596 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:18,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.78, mean=-0.1428, std=2.531, absmax=12.78 +2025-11-04 12:55:18,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=11.46, mean=-0.1096, std=2.343, absmax=11.46 +2025-11-04 12:55:18,954 ERROR: Encountered non-finite generator loss at iter 17361; skipping update. +2025-11-04 12:55:18,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:18,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:18,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.92, mean=-0.1745, std=3.238, absmax=14.92 +2025-11-04 12:55:18,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=15.01, mean=-0.1649, std=2.929, absmax=15.01 +2025-11-04 12:55:19,315 ERROR: Encountered non-finite generator loss at iter 17362; skipping update. +2025-11-04 12:55:19,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:19,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:19,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:19,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:19,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.05, mean=-0.2398, std=2.751, absmax=12.85 +2025-11-04 12:55:19,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=9.92, mean=-0.2041, std=2.549, absmax=11.47 +2025-11-04 12:55:19,675 ERROR: Encountered non-finite generator loss at iter 17363; skipping update. +2025-11-04 12:55:19,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:19,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:19,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:19,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:19,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=16.85, mean=-0.08467, std=2.836, absmax=16.85 +2025-11-04 12:55:19,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=14.31, mean=-0.06723, std=2.575, absmax=14.31 +2025-11-04 12:55:20,034 ERROR: Encountered non-finite generator loss at iter 17364; skipping update. +2025-11-04 12:55:20,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:20,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.31, mean=-0.3026, std=2.887, absmax=13.58 +2025-11-04 12:55:20,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=11.27, mean=-0.2682, std=2.777, absmax=12.83 +2025-11-04 12:55:20,394 ERROR: Encountered non-finite generator loss at iter 17365; skipping update. +2025-11-04 12:55:20,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,396 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:20,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.9, mean=-0.1844, std=3.095, absmax=12.9 +2025-11-04 12:55:20,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.59, mean=-0.2192, std=2.807, absmax=11.59 +2025-11-04 12:55:20,753 ERROR: Encountered non-finite generator loss at iter 17366; skipping update. +2025-11-04 12:55:20,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:20,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:20,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.01, mean=-0.2286, std=3.5, absmax=13.01 +2025-11-04 12:55:20,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.58, mean=-0.182, std=3.136, absmax=11.58 +2025-11-04 12:55:21,113 ERROR: Encountered non-finite generator loss at iter 17367; skipping update. +2025-11-04 12:55:21,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:21,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.56, mean=-0.1544, std=2.949, absmax=12.56 +2025-11-04 12:55:21,115 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=11.38, mean=-0.1486, std=2.638, absmax=11.94 +2025-11-04 12:55:21,472 ERROR: Encountered non-finite generator loss at iter 17368; skipping update. +2025-11-04 12:55:21,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,473 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,473 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:21,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=11.67, mean=-0.201, std=2.786, absmax=11.67 +2025-11-04 12:55:21,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=10.47, mean=-0.1697, std=2.583, absmax=10.47 +2025-11-04 12:55:21,831 ERROR: Encountered non-finite generator loss at iter 17369; skipping update. +2025-11-04 12:55:21,832 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,833 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:21,834 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:21,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.62, mean=-0.02236, std=2.936, absmax=14.15 +2025-11-04 12:55:21,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.47, mean=-0.002193, std=2.656, absmax=11.77 +2025-11-04 12:55:22,192 ERROR: Encountered non-finite generator loss at iter 17370; skipping update. +2025-11-04 12:55:22,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:22,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.11, mean=-0.2154, std=2.768, absmax=12.87 +2025-11-04 12:55:22,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.64, mean=-0.2561, std=2.758, absmax=11.86 +2025-11-04 12:55:22,553 ERROR: Encountered non-finite generator loss at iter 17371; skipping update. +2025-11-04 12:55:22,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,555 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:22,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.37, mean=0.2031, std=3.358, absmax=14.37 +2025-11-04 12:55:22,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=14.03, mean=0.1657, std=3.153, absmax=14.03 +2025-11-04 12:55:22,913 ERROR: Encountered non-finite generator loss at iter 17372; skipping update. +2025-11-04 12:55:22,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:22,916 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:22,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=13.67, mean=-0.2455, std=2.881, absmax=14.14 +2025-11-04 12:55:22,917 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.67, mean=-0.2081, std=2.669, absmax=11.95 +2025-11-04 12:55:23,273 ERROR: Encountered non-finite generator loss at iter 17373; skipping update. +2025-11-04 12:55:23,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:23,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=14.85, mean=0.09921, std=3.156, absmax=14.85 +2025-11-04 12:55:23,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=13.56, mean=0.0703, std=2.955, absmax=13.56 +2025-11-04 12:55:23,634 ERROR: Encountered non-finite generator loss at iter 17374; skipping update. +2025-11-04 12:55:23,634 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:23,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.63, mean=-0.1057, std=2.69, absmax=12.63 +2025-11-04 12:55:23,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.79, mean=-0.08274, std=2.496, absmax=12.79 +2025-11-04 12:55:23,994 ERROR: Encountered non-finite generator loss at iter 17375; skipping update. +2025-11-04 12:55:23,995 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:23,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:23,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=14.23, mean=0.02308, std=2.911, absmax=14.23 +2025-11-04 12:55:23,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.31, max=11.69, mean=0.01714, std=2.667, absmax=11.69 +2025-11-04 12:55:24,354 ERROR: Encountered non-finite generator loss at iter 17376; skipping update. +2025-11-04 12:55:24,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:24,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:24,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:24,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:24,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=10.92, mean=-0.2952, std=2.672, absmax=12.74 +2025-11-04 12:55:24,358 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=9.346, mean=-0.3032, std=2.51, absmax=11.55 +2025-11-04 12:55:24,715 ERROR: Encountered non-finite generator loss at iter 17377; skipping update. +2025-11-04 12:55:24,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:24,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:24,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:24,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:24,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.36, mean=0.004534, std=2.947, absmax=14.36 +2025-11-04 12:55:24,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=12.64, mean=-0.0178, std=2.657, absmax=12.64 +2025-11-04 12:55:25,075 ERROR: Encountered non-finite generator loss at iter 17378; skipping update. +2025-11-04 12:55:25,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:25,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.64, mean=-0.2525, std=2.877, absmax=12.64 +2025-11-04 12:55:25,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.98, mean=-0.2307, std=2.729, absmax=12.29 +2025-11-04 12:55:25,436 ERROR: Encountered non-finite generator loss at iter 17379; skipping update. +2025-11-04 12:55:25,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:25,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.3, mean=0.0245, std=2.758, absmax=12.3 +2025-11-04 12:55:25,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.46, mean=0.01443, std=2.597, absmax=11.5 +2025-11-04 12:55:25,795 ERROR: Encountered non-finite generator loss at iter 17380; skipping update. +2025-11-04 12:55:25,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:25,797 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:25,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=13.5, mean=-0.02205, std=2.987, absmax=13.5 +2025-11-04 12:55:25,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=13.25, mean=0.03619, std=2.892, absmax=13.25 +2025-11-04 12:55:26,155 ERROR: Encountered non-finite generator loss at iter 17381; skipping update. +2025-11-04 12:55:26,156 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:26,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.94, mean=0.01802, std=3.307, absmax=12.94 +2025-11-04 12:55:26,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.87, mean=-0.01087, std=3.085, absmax=12.87 +2025-11-04 12:55:26,515 ERROR: Encountered non-finite generator loss at iter 17382; skipping update. +2025-11-04 12:55:26,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:26,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=12.84, mean=-0.1236, std=2.561, absmax=14.79 +2025-11-04 12:55:26,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=10.83, mean=-0.132, std=2.391, absmax=13.85 +2025-11-04 12:55:26,875 ERROR: Encountered non-finite generator loss at iter 17383; skipping update. +2025-11-04 12:55:26,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:26,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:26,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=15.67, mean=0.02291, std=3.089, absmax=15.67 +2025-11-04 12:55:26,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=12.25, mean=0.0148, std=2.833, absmax=12.25 +2025-11-04 12:55:27,235 ERROR: Encountered non-finite generator loss at iter 17384; skipping update. +2025-11-04 12:55:27,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:27,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.47, mean=-0.1819, std=2.678, absmax=12.47 +2025-11-04 12:55:27,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=12.32, mean=-0.1662, std=2.556, absmax=12.32 +2025-11-04 12:55:27,595 ERROR: Encountered non-finite generator loss at iter 17385; skipping update. +2025-11-04 12:55:27,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:27,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=10.18, mean=-0.1997, std=2.817, absmax=13.24 +2025-11-04 12:55:27,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.48, mean=-0.1669, std=2.756, absmax=12.72 +2025-11-04 12:55:27,954 ERROR: Encountered non-finite generator loss at iter 17386; skipping update. +2025-11-04 12:55:27,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:27,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:27,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.65, mean=-0.1348, std=3.221, absmax=13.65 +2025-11-04 12:55:27,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=12.9, mean=-0.09558, std=3.027, absmax=12.9 +2025-11-04 12:55:28,314 ERROR: Encountered non-finite generator loss at iter 17387; skipping update. +2025-11-04 12:55:28,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:28,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:28,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:28,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:28,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.04, mean=-0.151, std=3.041, absmax=14.04 +2025-11-04 12:55:28,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=14.34, mean=-0.1561, std=2.87, absmax=14.34 +2025-11-04 12:55:28,674 ERROR: Encountered non-finite generator loss at iter 17388; skipping update. +2025-11-04 12:55:28,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:28,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:28,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:28,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:28,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.85, mean=-0.2956, std=2.863, absmax=12.17 +2025-11-04 12:55:28,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=11.12, mean=-0.3035, std=2.681, absmax=11.12 +2025-11-04 12:55:29,035 ERROR: Encountered non-finite generator loss at iter 17389; skipping update. +2025-11-04 12:55:29,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:29,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=12.98, mean=0.02243, std=2.607, absmax=14.3 +2025-11-04 12:55:29,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.48, mean=0.0408, std=2.415, absmax=12.48 +2025-11-04 12:55:29,394 ERROR: Encountered non-finite generator loss at iter 17390; skipping update. +2025-11-04 12:55:29,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,396 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:29,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.81, mean=-0.3043, std=3.149, absmax=14.81 +2025-11-04 12:55:29,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=12.24, mean=-0.2959, std=3.001, absmax=12.58 +2025-11-04 12:55:29,754 ERROR: Encountered non-finite generator loss at iter 17391; skipping update. +2025-11-04 12:55:29,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:29,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:29,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.66, mean=-0.3197, std=3.199, absmax=13.66 +2025-11-04 12:55:29,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.49, mean=-0.2983, std=2.999, absmax=12.49 +2025-11-04 12:55:30,113 ERROR: Encountered non-finite generator loss at iter 17392; skipping update. +2025-11-04 12:55:30,114 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,115 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:30,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.3, mean=-0.1612, std=2.927, absmax=13.52 +2025-11-04 12:55:30,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.02, mean=-0.1605, std=2.788, absmax=11.15 +2025-11-04 12:55:30,472 ERROR: Encountered non-finite generator loss at iter 17393; skipping update. +2025-11-04 12:55:30,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,473 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:30,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.71, mean=-0.303, std=3.088, absmax=14.71 +2025-11-04 12:55:30,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=11.21, mean=-0.2266, std=2.887, absmax=12.66 +2025-11-04 12:55:30,831 ERROR: Encountered non-finite generator loss at iter 17394; skipping update. +2025-11-04 12:55:30,832 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,832 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:30,833 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:30,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.46, mean=-0.173, std=2.666, absmax=13.46 +2025-11-04 12:55:30,834 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.57, mean=-0.132, std=2.625, absmax=12.57 +2025-11-04 12:55:31,191 ERROR: Encountered non-finite generator loss at iter 17395; skipping update. +2025-11-04 12:55:31,192 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,193 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,193 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:31,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.73, mean=0.01347, std=3.182, absmax=13.73 +2025-11-04 12:55:31,194 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=12.6, mean=0.002263, std=3.016, absmax=12.6 +2025-11-04 12:55:31,551 ERROR: Encountered non-finite generator loss at iter 17396; skipping update. +2025-11-04 12:55:31,552 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,553 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,553 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:31,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.27, mean=-0.1455, std=3.168, absmax=13.27 +2025-11-04 12:55:31,555 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.55, mean=-0.1271, std=2.895, absmax=12.55 +2025-11-04 12:55:31,912 ERROR: Encountered non-finite generator loss at iter 17397; skipping update. +2025-11-04 12:55:31,913 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:31,914 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:31,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=15.96, mean=-0.1985, std=2.852, absmax=15.96 +2025-11-04 12:55:31,915 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=13.01, mean=-0.21, std=2.553, absmax=13.01 +2025-11-04 12:55:32,272 ERROR: Encountered non-finite generator loss at iter 17398; skipping update. +2025-11-04 12:55:32,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:32,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=17.24, mean=-0.06931, std=3.315, absmax=17.24 +2025-11-04 12:55:32,276 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=13.08, mean=-0.08269, std=2.889, absmax=13.08 +2025-11-04 12:55:32,633 ERROR: Encountered non-finite generator loss at iter 17399; skipping update. +2025-11-04 12:55:32,634 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,635 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:32,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=14.02, mean=-0.1014, std=3.088, absmax=14.02 +2025-11-04 12:55:32,636 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=12.53, mean=-0.1182, std=2.788, absmax=12.53 +2025-11-04 12:55:32,993 ERROR: Encountered non-finite generator loss at iter 17400; skipping update. +2025-11-04 12:55:32,994 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,995 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:32,995 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:32,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.08, mean=-0.1305, std=2.806, absmax=12.47 +2025-11-04 12:55:32,997 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=9.887, mean=-0.1145, std=2.503, absmax=10.8 +2025-11-04 12:55:32,997 INFO: [38..][epoch: 0, step: 17,400, lr:(2.000e-04,)] [eta: 1 day, 12:43:17, time (data): 0.577 (0.000)] +2025-11-04 12:55:33,354 ERROR: Encountered non-finite generator loss at iter 17401; skipping update. +2025-11-04 12:55:33,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:33,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:33,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:33,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:33,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.19, mean=-0.1352, std=2.703, absmax=12.19 +2025-11-04 12:55:33,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.48, mean=-0.1324, std=2.467, absmax=10.83 +2025-11-04 12:55:33,714 ERROR: Encountered non-finite generator loss at iter 17402; skipping update. +2025-11-04 12:55:33,715 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:33,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:33,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:33,716 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:33,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.27, mean=-0.2673, std=2.664, absmax=12.24 +2025-11-04 12:55:33,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=10.98, mean=-0.2537, std=2.519, absmax=11.11 +2025-11-04 12:55:34,074 ERROR: Encountered non-finite generator loss at iter 17403; skipping update. +2025-11-04 12:55:34,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,077 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:34,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.14, mean=-0.2355, std=2.946, absmax=12.14 +2025-11-04 12:55:34,078 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=10.44, mean=-0.2073, std=2.743, absmax=12.01 +2025-11-04 12:55:34,435 ERROR: Encountered non-finite generator loss at iter 17404; skipping update. +2025-11-04 12:55:34,436 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,437 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:34,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=15.61, mean=-0.09397, std=3.499, absmax=15.61 +2025-11-04 12:55:34,438 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.06, mean=-0.07918, std=3.173, absmax=12.06 +2025-11-04 12:55:34,794 ERROR: Encountered non-finite generator loss at iter 17405; skipping update. +2025-11-04 12:55:34,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:34,797 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:34,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.12, mean=-0.2965, std=2.909, absmax=12.8 +2025-11-04 12:55:34,798 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.05, mean=-0.2831, std=2.713, absmax=12.56 +2025-11-04 12:55:35,154 ERROR: Encountered non-finite generator loss at iter 17406; skipping update. +2025-11-04 12:55:35,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:35,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=13.65, mean=-0.05789, std=3.278, absmax=15.12 +2025-11-04 12:55:35,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=13.62, mean=-0.04122, std=3.002, absmax=13.62 +2025-11-04 12:55:35,514 ERROR: Encountered non-finite generator loss at iter 17407; skipping update. +2025-11-04 12:55:35,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:35,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=16.26, mean=-0.2167, std=3.408, absmax=16.26 +2025-11-04 12:55:35,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.86, max=14.84, mean=-0.2113, std=3.287, absmax=14.86 +2025-11-04 12:55:35,874 ERROR: Encountered non-finite generator loss at iter 17408; skipping update. +2025-11-04 12:55:35,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:35,876 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:35,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=17.37, mean=-0.1509, std=3.066, absmax=17.37 +2025-11-04 12:55:35,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=14.42, mean=-0.1257, std=2.769, absmax=14.42 +2025-11-04 12:55:36,234 ERROR: Encountered non-finite generator loss at iter 17409; skipping update. +2025-11-04 12:55:36,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,236 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:36,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.34, mean=-0.2619, std=2.954, absmax=12.42 +2025-11-04 12:55:36,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=9.636, mean=-0.2086, std=2.762, absmax=11.38 +2025-11-04 12:55:36,593 ERROR: Encountered non-finite generator loss at iter 17410; skipping update. +2025-11-04 12:55:36,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:36,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.38, max=13.08, mean=-0.172, std=3.209, absmax=15.38 +2025-11-04 12:55:36,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=12.07, mean=-0.1439, std=2.979, absmax=12.07 +2025-11-04 12:55:36,953 ERROR: Encountered non-finite generator loss at iter 17411; skipping update. +2025-11-04 12:55:36,954 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,955 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:36,955 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:36,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=13.99, mean=0.02178, std=3.465, absmax=15.17 +2025-11-04 12:55:36,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.53, max=13.49, mean=0.01116, std=3.209, absmax=15.53 +2025-11-04 12:55:37,313 ERROR: Encountered non-finite generator loss at iter 17412; skipping update. +2025-11-04 12:55:37,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:37,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:37,315 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:37,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:37,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.05, mean=-0.1466, std=2.57, absmax=12.05 +2025-11-04 12:55:37,317 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=10.7, mean=-0.106, std=2.352, absmax=10.97 +2025-11-04 12:55:37,674 ERROR: Encountered non-finite generator loss at iter 17413; skipping update. +2025-11-04 12:55:37,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:37,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:37,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:37,676 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:37,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=15.29, mean=-0.2015, std=3.235, absmax=15.29 +2025-11-04 12:55:37,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=13.87, mean=-0.2477, std=2.996, absmax=13.87 +2025-11-04 12:55:38,035 ERROR: Encountered non-finite generator loss at iter 17414; skipping update. +2025-11-04 12:55:38,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:38,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=10.26, mean=-0.2179, std=2.677, absmax=12.41 +2025-11-04 12:55:38,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.918, max=9.89, mean=-0.1741, std=2.549, absmax=9.918 +2025-11-04 12:55:38,395 ERROR: Encountered non-finite generator loss at iter 17415; skipping update. +2025-11-04 12:55:38,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:38,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=10.37, mean=-0.1151, std=2.949, absmax=12.6 +2025-11-04 12:55:38,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=10.38, mean=-0.1319, std=2.886, absmax=11.45 +2025-11-04 12:55:38,755 ERROR: Encountered non-finite generator loss at iter 17416; skipping update. +2025-11-04 12:55:38,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:38,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:38,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.9, mean=-0.2112, std=3.238, absmax=13.99 +2025-11-04 12:55:38,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=11.62, mean=-0.1899, std=2.978, absmax=13.28 +2025-11-04 12:55:39,114 ERROR: Encountered non-finite generator loss at iter 17417; skipping update. +2025-11-04 12:55:39,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,115 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,116 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:39,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.61, mean=-0.1318, std=2.882, absmax=13.75 +2025-11-04 12:55:39,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=12.24, mean=-0.09736, std=2.629, absmax=12.24 +2025-11-04 12:55:39,474 ERROR: Encountered non-finite generator loss at iter 17418; skipping update. +2025-11-04 12:55:39,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,476 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:39,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=12.7, mean=-0.2845, std=3.443, absmax=14.28 +2025-11-04 12:55:39,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.45, mean=-0.2403, std=3.296, absmax=12.37 +2025-11-04 12:55:39,834 ERROR: Encountered non-finite generator loss at iter 17419; skipping update. +2025-11-04 12:55:39,835 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,836 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:39,836 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:39,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.34, mean=-0.1178, std=3.482, absmax=13.55 +2025-11-04 12:55:39,837 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=11.53, mean=-0.07395, std=3.206, absmax=13.13 +2025-11-04 12:55:40,193 ERROR: Encountered non-finite generator loss at iter 17420; skipping update. +2025-11-04 12:55:40,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:40,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.86, mean=0.1409, std=3.546, absmax=13.86 +2025-11-04 12:55:40,197 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=12.83, mean=0.1395, std=3.281, absmax=12.83 +2025-11-04 12:55:40,553 ERROR: Encountered non-finite generator loss at iter 17421; skipping update. +2025-11-04 12:55:40,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,555 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:40,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=14.74, mean=-0.2479, std=3.254, absmax=14.74 +2025-11-04 12:55:40,557 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=13.95, mean=-0.2543, std=3.055, absmax=13.95 +2025-11-04 12:55:40,914 ERROR: Encountered non-finite generator loss at iter 17422; skipping update. +2025-11-04 12:55:40,915 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:40,916 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:40,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=17.13, mean=-0.09309, std=3.348, absmax=17.13 +2025-11-04 12:55:40,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=14.43, mean=-0.04355, std=3.098, absmax=14.43 +2025-11-04 12:55:41,274 ERROR: Encountered non-finite generator loss at iter 17423; skipping update. +2025-11-04 12:55:41,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,276 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:41,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=12.63, mean=0.01795, std=3.051, absmax=15.22 +2025-11-04 12:55:41,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=11.44, mean=-0.01318, std=2.815, absmax=11.58 +2025-11-04 12:55:41,634 ERROR: Encountered non-finite generator loss at iter 17424; skipping update. +2025-11-04 12:55:41,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:41,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=13.3, mean=-0.1437, std=2.897, absmax=13.3 +2025-11-04 12:55:41,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=12.94, mean=-0.1043, std=2.749, absmax=12.94 +2025-11-04 12:55:41,994 ERROR: Encountered non-finite generator loss at iter 17425; skipping update. +2025-11-04 12:55:41,995 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:41,996 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:41,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.4, mean=-0.1437, std=3.5, absmax=14.4 +2025-11-04 12:55:41,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=11.79, mean=-0.1131, std=3.272, absmax=13.34 +2025-11-04 12:55:42,354 ERROR: Encountered non-finite generator loss at iter 17426; skipping update. +2025-11-04 12:55:42,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:42,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:42,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:42,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:42,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.32, mean=-0.2557, std=2.548, absmax=11.99 +2025-11-04 12:55:42,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.46, mean=-0.3019, std=2.472, absmax=11.69 +2025-11-04 12:55:42,714 ERROR: Encountered non-finite generator loss at iter 17427; skipping update. +2025-11-04 12:55:42,715 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:42,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:42,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:42,716 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:42,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.47, mean=0.02886, std=2.912, absmax=14.47 +2025-11-04 12:55:42,717 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=11.94, mean=0.03905, std=2.66, absmax=11.94 +2025-11-04 12:55:43,074 ERROR: Encountered non-finite generator loss at iter 17428; skipping update. +2025-11-04 12:55:43,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:43,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.39, mean=-0.09687, std=2.619, absmax=13.13 +2025-11-04 12:55:43,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.66, mean=-0.0821, std=2.37, absmax=11.26 +2025-11-04 12:55:43,434 ERROR: Encountered non-finite generator loss at iter 17429; skipping update. +2025-11-04 12:55:43,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:43,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=11.68, mean=-0.1032, std=2.932, absmax=14.3 +2025-11-04 12:55:43,438 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=9.741, mean=-0.05399, std=2.698, absmax=11.77 +2025-11-04 12:55:43,795 ERROR: Encountered non-finite generator loss at iter 17430; skipping update. +2025-11-04 12:55:43,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:43,797 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:43,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.73, mean=-0.4012, std=3.132, absmax=13.95 +2025-11-04 12:55:43,798 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=11.72, mean=-0.3739, std=2.967, absmax=12.7 +2025-11-04 12:55:44,154 ERROR: Encountered non-finite generator loss at iter 17431; skipping update. +2025-11-04 12:55:44,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:44,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=14.77, mean=-0.1632, std=3.357, absmax=14.77 +2025-11-04 12:55:44,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.07, max=12.86, mean=-0.1592, std=3.021, absmax=14.07 +2025-11-04 12:55:44,514 ERROR: Encountered non-finite generator loss at iter 17432; skipping update. +2025-11-04 12:55:44,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:44,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.27, mean=0.1448, std=3.161, absmax=14.27 +2025-11-04 12:55:44,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.9, mean=0.1092, std=2.854, absmax=11.9 +2025-11-04 12:55:44,874 ERROR: Encountered non-finite generator loss at iter 17433; skipping update. +2025-11-04 12:55:44,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:44,876 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:44,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.51, mean=-0.08578, std=2.54, absmax=12.91 +2025-11-04 12:55:44,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.06, mean=-0.098, std=2.37, absmax=11.2 +2025-11-04 12:55:45,234 ERROR: Encountered non-finite generator loss at iter 17434; skipping update. +2025-11-04 12:55:45,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,236 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:45,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.15, mean=-0.1289, std=2.738, absmax=12.15 +2025-11-04 12:55:45,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.6, mean=-0.1146, std=2.484, absmax=11.35 +2025-11-04 12:55:45,594 ERROR: Encountered non-finite generator loss at iter 17435; skipping update. +2025-11-04 12:55:45,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,596 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:45,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.58, mean=-0.04706, std=2.777, absmax=13.58 +2025-11-04 12:55:45,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=12.66, mean=-0.05249, std=2.641, absmax=12.66 +2025-11-04 12:55:45,954 ERROR: Encountered non-finite generator loss at iter 17436; skipping update. +2025-11-04 12:55:45,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:45,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:45,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.38, mean=-0.0288, std=3.071, absmax=14.38 +2025-11-04 12:55:45,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=13.07, mean=-0.02302, std=2.993, absmax=13.07 +2025-11-04 12:55:46,315 ERROR: Encountered non-finite generator loss at iter 17437; skipping update. +2025-11-04 12:55:46,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:46,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:46,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:46,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:46,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.82, mean=-0.2026, std=2.784, absmax=12.88 +2025-11-04 12:55:46,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=10.28, mean=-0.1936, std=2.557, absmax=10.84 +2025-11-04 12:55:46,677 ERROR: Encountered non-finite generator loss at iter 17438; skipping update. +2025-11-04 12:55:46,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:46,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:46,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:46,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:46,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.34, max=16.25, mean=0.2629, std=3.645, absmax=16.25 +2025-11-04 12:55:46,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.84, max=15.7, mean=0.256, std=3.417, absmax=15.7 +2025-11-04 12:55:47,037 ERROR: Encountered non-finite generator loss at iter 17439; skipping update. +2025-11-04 12:55:47,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:47,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=13.5, mean=0.01035, std=3.479, absmax=14.2 +2025-11-04 12:55:47,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=12.72, mean=0.03135, std=3.211, absmax=12.72 +2025-11-04 12:55:47,396 ERROR: Encountered non-finite generator loss at iter 17440; skipping update. +2025-11-04 12:55:47,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:47,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.62, mean=-0.3142, std=2.617, absmax=12.14 +2025-11-04 12:55:47,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=10.59, mean=-0.2682, std=2.394, absmax=10.72 +2025-11-04 12:55:47,756 ERROR: Encountered non-finite generator loss at iter 17441; skipping update. +2025-11-04 12:55:47,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:47,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:47,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.26, mean=-0.1694, std=2.957, absmax=11.85 +2025-11-04 12:55:47,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=9.813, mean=-0.1399, std=2.785, absmax=11.29 +2025-11-04 12:55:48,115 ERROR: Encountered non-finite generator loss at iter 17442; skipping update. +2025-11-04 12:55:48,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:48,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=12.14, mean=-0.3224, std=2.864, absmax=13.39 +2025-11-04 12:55:48,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=10.99, mean=-0.3117, std=2.816, absmax=12.62 +2025-11-04 12:55:48,475 ERROR: Encountered non-finite generator loss at iter 17443; skipping update. +2025-11-04 12:55:48,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:48,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=18.36, mean=-0.1764, std=2.882, absmax=18.36 +2025-11-04 12:55:48,478 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=17.2, mean=-0.1411, std=2.804, absmax=17.2 +2025-11-04 12:55:48,834 ERROR: Encountered non-finite generator loss at iter 17444; skipping update. +2025-11-04 12:55:48,835 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,836 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:48,836 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:48,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.73, mean=-0.207, std=2.953, absmax=13.73 +2025-11-04 12:55:48,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=11.81, mean=-0.2069, std=2.623, absmax=11.81 +2025-11-04 12:55:49,194 ERROR: Encountered non-finite generator loss at iter 17445; skipping update. +2025-11-04 12:55:49,195 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,196 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:49,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=16.19, mean=0.06402, std=3.254, absmax=16.19 +2025-11-04 12:55:49,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=12.78, mean=0.01639, std=3.062, absmax=12.78 +2025-11-04 12:55:49,554 ERROR: Encountered non-finite generator loss at iter 17446; skipping update. +2025-11-04 12:55:49,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,555 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:49,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=16.12, mean=-0.08753, std=3.507, absmax=16.12 +2025-11-04 12:55:49,557 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=13.47, mean=-0.1195, std=3.287, absmax=13.47 +2025-11-04 12:55:49,914 ERROR: Encountered non-finite generator loss at iter 17447; skipping update. +2025-11-04 12:55:49,915 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:49,916 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:49,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=10.24, mean=-0.3089, std=2.769, absmax=11.61 +2025-11-04 12:55:49,917 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=8.709, mean=-0.3203, std=2.639, absmax=11.28 +2025-11-04 12:55:50,274 ERROR: Encountered non-finite generator loss at iter 17448; skipping update. +2025-11-04 12:55:50,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,276 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:50,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.76, mean=-0.06874, std=3.051, absmax=13.18 +2025-11-04 12:55:50,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=12.2, mean=-0.05244, std=2.799, absmax=13.05 +2025-11-04 12:55:50,634 ERROR: Encountered non-finite generator loss at iter 17449; skipping update. +2025-11-04 12:55:50,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:50,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.73, mean=-0.1632, std=2.81, absmax=13.49 +2025-11-04 12:55:50,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.64, max=12.17, mean=-0.162, std=2.669, absmax=13.64 +2025-11-04 12:55:50,994 ERROR: Encountered non-finite generator loss at iter 17450; skipping update. +2025-11-04 12:55:50,995 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:50,996 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:50,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=14.66, mean=-0.01912, std=3.59, absmax=14.66 +2025-11-04 12:55:50,997 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.16, max=11.66, mean=0.01351, std=3.499, absmax=14.16 +2025-11-04 12:55:51,354 ERROR: Encountered non-finite generator loss at iter 17451; skipping update. +2025-11-04 12:55:51,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:51,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:51,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:51,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:51,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=10.84, mean=-0.1625, std=2.422, absmax=12 +2025-11-04 12:55:51,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=9.972, mean=-0.1469, std=2.348, absmax=11.14 +2025-11-04 12:55:51,714 ERROR: Encountered non-finite generator loss at iter 17452; skipping update. +2025-11-04 12:55:51,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:51,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:51,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:51,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:51,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.3, mean=-0.1737, std=2.775, absmax=12.86 +2025-11-04 12:55:51,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=11.18, mean=-0.2254, std=2.694, absmax=11.47 +2025-11-04 12:55:52,074 ERROR: Encountered non-finite generator loss at iter 17453; skipping update. +2025-11-04 12:55:52,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:52,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.59, mean=-0.228, std=2.589, absmax=13.59 +2025-11-04 12:55:52,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.37, mean=-0.2073, std=2.452, absmax=12.4 +2025-11-04 12:55:52,434 ERROR: Encountered non-finite generator loss at iter 17454; skipping update. +2025-11-04 12:55:52,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:52,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.68, mean=0.1386, std=3.377, absmax=14.68 +2025-11-04 12:55:52,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=12.9, mean=0.1353, std=3.013, absmax=12.9 +2025-11-04 12:55:52,794 ERROR: Encountered non-finite generator loss at iter 17455; skipping update. +2025-11-04 12:55:52,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:52,796 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:52,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=11.23, mean=-0.3167, std=3.319, absmax=14.04 +2025-11-04 12:55:52,797 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.19, max=9.416, mean=-0.3154, std=3.146, absmax=14.19 +2025-11-04 12:55:53,154 ERROR: Encountered non-finite generator loss at iter 17456; skipping update. +2025-11-04 12:55:53,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:53,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=11.7, mean=-0.03498, std=3.026, absmax=11.7 +2025-11-04 12:55:53,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.83, max=11.25, mean=-0.01167, std=2.844, absmax=11.25 +2025-11-04 12:55:53,514 ERROR: Encountered non-finite generator loss at iter 17457; skipping update. +2025-11-04 12:55:53,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,515 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:53,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.08, mean=-0.07888, std=2.993, absmax=12.77 +2025-11-04 12:55:53,517 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=10.3, mean=-0.08894, std=2.737, absmax=11.49 +2025-11-04 12:55:53,874 ERROR: Encountered non-finite generator loss at iter 17458; skipping update. +2025-11-04 12:55:53,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:53,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:53,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.97, mean=-0.1407, std=3.237, absmax=14.03 +2025-11-04 12:55:53,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.8, max=12.38, mean=-0.1353, std=3.033, absmax=13.8 +2025-11-04 12:55:54,235 ERROR: Encountered non-finite generator loss at iter 17459; skipping update. +2025-11-04 12:55:54,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:54,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.82, mean=-0.0104, std=2.937, absmax=13.06 +2025-11-04 12:55:54,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=10.28, mean=0.009149, std=2.662, absmax=12.8 +2025-11-04 12:55:54,595 ERROR: Encountered non-finite generator loss at iter 17460; skipping update. +2025-11-04 12:55:54,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:54,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=14.51, mean=-0.09842, std=2.923, absmax=14.51 +2025-11-04 12:55:54,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=12.51, mean=-0.07956, std=2.659, absmax=12.51 +2025-11-04 12:55:54,954 ERROR: Encountered non-finite generator loss at iter 17461; skipping update. +2025-11-04 12:55:54,954 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,955 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:54,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:54,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.71, mean=-0.1634, std=3.041, absmax=12.71 +2025-11-04 12:55:54,957 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=12.15, mean=-0.1445, std=2.893, absmax=12.15 +2025-11-04 12:55:55,314 ERROR: Encountered non-finite generator loss at iter 17462; skipping update. +2025-11-04 12:55:55,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:55,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:55,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:55,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:55,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=9.957, mean=-0.3101, std=3.174, absmax=14.93 +2025-11-04 12:55:55,317 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=9.81, mean=-0.2859, std=2.959, absmax=13.17 +2025-11-04 12:55:55,674 ERROR: Encountered non-finite generator loss at iter 17463; skipping update. +2025-11-04 12:55:55,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:55,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:55,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:55,676 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:55,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=14.89, mean=0.04365, std=3.226, absmax=14.89 +2025-11-04 12:55:55,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=14.28, mean=0.002769, std=2.999, absmax=14.28 +2025-11-04 12:55:56,034 ERROR: Encountered non-finite generator loss at iter 17464; skipping update. +2025-11-04 12:55:56,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:56,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.88, mean=-0.2314, std=2.284, absmax=12.74 +2025-11-04 12:55:56,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=10.22, mean=-0.2151, std=2.181, absmax=10.4 +2025-11-04 12:55:56,394 ERROR: Encountered non-finite generator loss at iter 17465; skipping update. +2025-11-04 12:55:56,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,396 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:56,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.59, mean=-0.1436, std=2.561, absmax=12.98 +2025-11-04 12:55:56,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=9.715, mean=-0.1119, std=2.465, absmax=10.23 +2025-11-04 12:55:56,753 ERROR: Encountered non-finite generator loss at iter 17466; skipping update. +2025-11-04 12:55:56,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:56,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:56,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.52, mean=-0.06153, std=2.641, absmax=13.52 +2025-11-04 12:55:56,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=12.15, mean=-0.04414, std=2.517, absmax=12.15 +2025-11-04 12:55:57,114 ERROR: Encountered non-finite generator loss at iter 17467; skipping update. +2025-11-04 12:55:57,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,116 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:57,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.27, mean=-0.08001, std=3.412, absmax=13.86 +2025-11-04 12:55:57,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=13.06, mean=-0.04669, std=3.251, absmax=13.06 +2025-11-04 12:55:57,490 ERROR: Encountered non-finite generator loss at iter 17468; skipping update. +2025-11-04 12:55:57,491 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,492 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,492 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:57,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.09, mean=-0.2105, std=3.133, absmax=13.52 +2025-11-04 12:55:57,494 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.55, mean=-0.1999, std=2.935, absmax=11.55 +2025-11-04 12:55:57,850 ERROR: Encountered non-finite generator loss at iter 17469; skipping update. +2025-11-04 12:55:57,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,852 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:57,852 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:57,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=16.55, mean=-0.1452, std=3.219, absmax=16.55 +2025-11-04 12:55:57,854 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=13, mean=-0.118, std=2.903, absmax=13 +2025-11-04 12:55:58,210 ERROR: Encountered non-finite generator loss at iter 17470; skipping update. +2025-11-04 12:55:58,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,213 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:58,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.04, mean=-0.154, std=2.767, absmax=13.04 +2025-11-04 12:55:58,214 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.3, mean=-0.135, std=2.544, absmax=12.5 +2025-11-04 12:55:58,570 ERROR: Encountered non-finite generator loss at iter 17471; skipping update. +2025-11-04 12:55:58,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:58,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.62, mean=-0.04865, std=3.078, absmax=14.62 +2025-11-04 12:55:58,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=13.9, mean=-0.02789, std=2.966, absmax=13.9 +2025-11-04 12:55:58,930 ERROR: Encountered non-finite generator loss at iter 17472; skipping update. +2025-11-04 12:55:58,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,932 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:58,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:58,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=16.19, mean=-0.2357, std=3.091, absmax=16.19 +2025-11-04 12:55:58,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=10.98, mean=-0.23, std=2.843, absmax=12.37 +2025-11-04 12:55:59,290 ERROR: Encountered non-finite generator loss at iter 17473; skipping update. +2025-11-04 12:55:59,291 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:59,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:59,292 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:59,293 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:59,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.34, mean=-0.1005, std=2.706, absmax=14.34 +2025-11-04 12:55:59,294 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.65, mean=-0.0996, std=2.509, absmax=12.65 +2025-11-04 12:55:59,650 ERROR: Encountered non-finite generator loss at iter 17474; skipping update. +2025-11-04 12:55:59,651 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:59,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:55:59,652 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:55:59,653 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:55:59,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=15.03, mean=-0.1244, std=3.812, absmax=15.29 +2025-11-04 12:55:59,654 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.3, max=14.56, mean=-0.1189, std=3.55, absmax=14.56 +2025-11-04 12:56:00,011 ERROR: Encountered non-finite generator loss at iter 17475; skipping update. +2025-11-04 12:56:00,012 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,013 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,013 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:00,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.09, mean=-0.2319, std=3.265, absmax=14.09 +2025-11-04 12:56:00,015 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=11.4, mean=-0.2322, std=3.048, absmax=12.77 +2025-11-04 12:56:00,371 ERROR: Encountered non-finite generator loss at iter 17476; skipping update. +2025-11-04 12:56:00,372 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,373 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:00,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=14.86, mean=-0.1778, std=3.006, absmax=14.86 +2025-11-04 12:56:00,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=13.05, mean=-0.183, std=2.711, absmax=13.05 +2025-11-04 12:56:00,732 ERROR: Encountered non-finite generator loss at iter 17477; skipping update. +2025-11-04 12:56:00,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,734 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:00,734 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:00,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.17, mean=-0.2503, std=2.645, absmax=12.2 +2025-11-04 12:56:00,735 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=9.516, mean=-0.2449, std=2.396, absmax=10.89 +2025-11-04 12:56:01,092 ERROR: Encountered non-finite generator loss at iter 17478; skipping update. +2025-11-04 12:56:01,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,094 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:01,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.72, mean=-0.1727, std=2.709, absmax=13.72 +2025-11-04 12:56:01,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=12.04, mean=-0.1729, std=2.413, absmax=12.04 +2025-11-04 12:56:01,452 ERROR: Encountered non-finite generator loss at iter 17479; skipping update. +2025-11-04 12:56:01,453 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,454 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,454 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:01,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.1, mean=-0.1533, std=2.959, absmax=13.21 +2025-11-04 12:56:01,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=11.67, mean=-0.1323, std=2.744, absmax=11.67 +2025-11-04 12:56:01,817 ERROR: Encountered non-finite generator loss at iter 17480; skipping update. +2025-11-04 12:56:01,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:01,821 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:01,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.57, mean=-0.3586, std=3.352, absmax=13.57 +2025-11-04 12:56:01,823 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.87, mean=-0.3354, std=3.011, absmax=11.87 +2025-11-04 12:56:02,178 ERROR: Encountered non-finite generator loss at iter 17481; skipping update. +2025-11-04 12:56:02,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,181 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:02,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=12.69, mean=-0.03197, std=2.821, absmax=12.69 +2025-11-04 12:56:02,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=12.16, mean=-0.06453, std=2.594, absmax=12.16 +2025-11-04 12:56:02,539 ERROR: Encountered non-finite generator loss at iter 17482; skipping update. +2025-11-04 12:56:02,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,540 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:02,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13, mean=-0.2833, std=2.828, absmax=13.94 +2025-11-04 12:56:02,542 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.07, mean=-0.2612, std=2.605, absmax=11.86 +2025-11-04 12:56:02,898 ERROR: Encountered non-finite generator loss at iter 17483; skipping update. +2025-11-04 12:56:02,899 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:02,900 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:02,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.02, max=13.16, mean=-0.2163, std=3.191, absmax=15.02 +2025-11-04 12:56:02,901 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=12.22, mean=-0.2609, std=3.023, absmax=13.85 +2025-11-04 12:56:03,258 ERROR: Encountered non-finite generator loss at iter 17484; skipping update. +2025-11-04 12:56:03,259 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,260 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:03,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.27, mean=-0.08408, std=2.946, absmax=12.37 +2025-11-04 12:56:03,261 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=10.69, mean=-0.05941, std=2.773, absmax=10.86 +2025-11-04 12:56:03,618 ERROR: Encountered non-finite generator loss at iter 17485; skipping update. +2025-11-04 12:56:03,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:03,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=10.1, mean=-0.2539, std=3.352, absmax=12.61 +2025-11-04 12:56:03,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=10.69, mean=-0.2561, std=3.036, absmax=11.02 +2025-11-04 12:56:03,978 ERROR: Encountered non-finite generator loss at iter 17486; skipping update. +2025-11-04 12:56:03,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:03,980 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:03,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=12.29, mean=-0.1139, std=3.032, absmax=13.52 +2025-11-04 12:56:03,981 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.99, mean=-0.1621, std=2.844, absmax=11.77 +2025-11-04 12:56:04,338 ERROR: Encountered non-finite generator loss at iter 17487; skipping update. +2025-11-04 12:56:04,339 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:04,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:04,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:04,340 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:04,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.98, mean=-0.1244, std=3.005, absmax=14.98 +2025-11-04 12:56:04,341 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.04, mean=-0.1367, std=2.686, absmax=12.19 +2025-11-04 12:56:04,698 ERROR: Encountered non-finite generator loss at iter 17488; skipping update. +2025-11-04 12:56:04,699 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:04,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:04,700 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:04,700 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:04,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=13.08, mean=-0.1831, std=3.333, absmax=14.3 +2025-11-04 12:56:04,701 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=12.01, mean=-0.2066, std=3.115, absmax=12.58 +2025-11-04 12:56:05,058 ERROR: Encountered non-finite generator loss at iter 17489; skipping update. +2025-11-04 12:56:05,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:05,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.08, mean=-0.1838, std=3.004, absmax=14.08 +2025-11-04 12:56:05,061 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.79, mean=-0.1977, std=2.726, absmax=11.79 +2025-11-04 12:56:05,418 ERROR: Encountered non-finite generator loss at iter 17490; skipping update. +2025-11-04 12:56:05,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,420 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:05,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.31, mean=-0.1173, std=2.852, absmax=13.31 +2025-11-04 12:56:05,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=11.26, mean=-0.09618, std=2.633, absmax=11.26 +2025-11-04 12:56:05,778 ERROR: Encountered non-finite generator loss at iter 17491; skipping update. +2025-11-04 12:56:05,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:05,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:05,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.79, mean=-0.1599, std=2.631, absmax=12.92 +2025-11-04 12:56:05,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=12.15, mean=-0.1156, std=2.45, absmax=12.16 +2025-11-04 12:56:06,137 ERROR: Encountered non-finite generator loss at iter 17492; skipping update. +2025-11-04 12:56:06,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:06,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=12.85, mean=-0.1574, std=3.187, absmax=13.82 +2025-11-04 12:56:06,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=10.83, mean=-0.1455, std=2.923, absmax=12.36 +2025-11-04 12:56:06,497 ERROR: Encountered non-finite generator loss at iter 17493; skipping update. +2025-11-04 12:56:06,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,500 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:06,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.84, mean=-0.1189, std=2.828, absmax=13.84 +2025-11-04 12:56:06,501 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=13.29, mean=-0.113, std=2.615, absmax=13.29 +2025-11-04 12:56:06,857 ERROR: Encountered non-finite generator loss at iter 17494; skipping update. +2025-11-04 12:56:06,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:06,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:06,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.76, mean=-0.06261, std=3.216, absmax=14.75 +2025-11-04 12:56:06,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=12.71, mean=-0.05195, std=2.949, absmax=12.71 +2025-11-04 12:56:07,217 ERROR: Encountered non-finite generator loss at iter 17495; skipping update. +2025-11-04 12:56:07,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:07,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=14.57, mean=0.176, std=3.861, absmax=14.57 +2025-11-04 12:56:07,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=13.85, mean=0.1508, std=3.538, absmax=13.85 +2025-11-04 12:56:07,577 ERROR: Encountered non-finite generator loss at iter 17496; skipping update. +2025-11-04 12:56:07,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:07,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.17, mean=-0.03886, std=3.196, absmax=13.96 +2025-11-04 12:56:07,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=12.2, mean=-0.01807, std=2.977, absmax=13.17 +2025-11-04 12:56:07,937 ERROR: Encountered non-finite generator loss at iter 17497; skipping update. +2025-11-04 12:56:07,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:07,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:07,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=10.5, mean=-0.2966, std=2.826, absmax=12.58 +2025-11-04 12:56:07,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=9.372, mean=-0.3124, std=2.627, absmax=11.29 +2025-11-04 12:56:08,296 ERROR: Encountered non-finite generator loss at iter 17498; skipping update. +2025-11-04 12:56:08,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:08,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:08,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:08,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:08,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.42, max=10.15, mean=-0.255, std=2.275, absmax=10.42 +2025-11-04 12:56:08,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.781, max=10.37, mean=-0.2101, std=2.224, absmax=10.37 +2025-11-04 12:56:08,655 ERROR: Encountered non-finite generator loss at iter 17499; skipping update. +2025-11-04 12:56:08,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:08,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:08,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:08,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:08,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=14.63, mean=-0.2691, std=2.879, absmax=14.63 +2025-11-04 12:56:08,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=13.29, mean=-0.2702, std=2.667, absmax=13.29 +2025-11-04 12:56:09,015 ERROR: Encountered non-finite generator loss at iter 17500; skipping update. +2025-11-04 12:56:09,016 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,017 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,017 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:09,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.97, mean=-0.1586, std=3.052, absmax=13.42 +2025-11-04 12:56:09,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=10.08, mean=-0.1356, std=2.804, absmax=12.71 +2025-11-04 12:56:09,019 INFO: [38..][epoch: 0, step: 17,500, lr:(2.000e-04,)] [eta: 1 day, 12:32:21, time (data): 0.360 (0.000)] +2025-11-04 12:56:09,374 ERROR: Encountered non-finite generator loss at iter 17501; skipping update. +2025-11-04 12:56:09,375 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,376 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:09,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.95, mean=-0.1405, std=2.718, absmax=12.73 +2025-11-04 12:56:09,378 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=10.39, mean=-0.1211, std=2.487, absmax=10.53 +2025-11-04 12:56:09,735 ERROR: Encountered non-finite generator loss at iter 17502; skipping update. +2025-11-04 12:56:09,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:09,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:09,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=14.98, mean=-0.168, std=2.949, absmax=14.98 +2025-11-04 12:56:09,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=11.33, mean=-0.1753, std=2.67, absmax=12.98 +2025-11-04 12:56:10,095 ERROR: Encountered non-finite generator loss at iter 17503; skipping update. +2025-11-04 12:56:10,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:10,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.25, mean=-0.08671, std=3.003, absmax=11.97 +2025-11-04 12:56:10,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.31, mean=-0.06553, std=2.77, absmax=11.31 +2025-11-04 12:56:10,455 ERROR: Encountered non-finite generator loss at iter 17504; skipping update. +2025-11-04 12:56:10,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:10,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.6, mean=-0.0241, std=2.681, absmax=12.19 +2025-11-04 12:56:10,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=10.63, mean=0.01461, std=2.486, absmax=12.31 +2025-11-04 12:56:10,815 ERROR: Encountered non-finite generator loss at iter 17505; skipping update. +2025-11-04 12:56:10,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:10,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:10,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=11.76, mean=0.05866, std=3.04, absmax=13.51 +2025-11-04 12:56:10,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=11.78, mean=0.0899, std=2.955, absmax=13 +2025-11-04 12:56:11,175 ERROR: Encountered non-finite generator loss at iter 17506; skipping update. +2025-11-04 12:56:11,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,177 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:11,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.05, mean=-0.04221, std=2.645, absmax=11.75 +2025-11-04 12:56:11,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=9.886, mean=-0.03667, std=2.419, absmax=11.24 +2025-11-04 12:56:11,535 ERROR: Encountered non-finite generator loss at iter 17507; skipping update. +2025-11-04 12:56:11,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:11,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.39, mean=0.003468, std=2.831, absmax=13.39 +2025-11-04 12:56:11,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=13.63, mean=0.07238, std=2.7, absmax=13.63 +2025-11-04 12:56:11,894 ERROR: Encountered non-finite generator loss at iter 17508; skipping update. +2025-11-04 12:56:11,895 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,896 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:11,896 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:11,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.78, mean=0.04598, std=3.594, absmax=13.72 +2025-11-04 12:56:11,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=12.65, mean=0.03261, std=3.224, absmax=12.65 +2025-11-04 12:56:12,254 ERROR: Encountered non-finite generator loss at iter 17509; skipping update. +2025-11-04 12:56:12,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:12,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=13.69, mean=-0.2181, std=3.323, absmax=14.91 +2025-11-04 12:56:12,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=10.94, mean=-0.1811, std=3.068, absmax=13.41 +2025-11-04 12:56:12,615 ERROR: Encountered non-finite generator loss at iter 17510; skipping update. +2025-11-04 12:56:12,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:12,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.08, mean=-0.1955, std=2.456, absmax=12.33 +2025-11-04 12:56:12,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=10.55, mean=-0.1433, std=2.316, absmax=10.55 +2025-11-04 12:56:12,974 ERROR: Encountered non-finite generator loss at iter 17511; skipping update. +2025-11-04 12:56:12,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,975 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:12,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:12,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=18.45, mean=-0.1441, std=2.844, absmax=18.45 +2025-11-04 12:56:12,977 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=17.28, mean=-0.112, std=2.582, absmax=17.28 +2025-11-04 12:56:13,334 ERROR: Encountered non-finite generator loss at iter 17512; skipping update. +2025-11-04 12:56:13,335 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:13,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:13,335 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:13,336 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:13,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.88, mean=-0.02117, std=3.353, absmax=14.88 +2025-11-04 12:56:13,337 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=13.67, mean=0.001787, std=3.165, absmax=13.67 +2025-11-04 12:56:13,694 ERROR: Encountered non-finite generator loss at iter 17513; skipping update. +2025-11-04 12:56:13,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:13,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:13,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:13,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:13,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.7, mean=-0.1172, std=3.119, absmax=12.7 +2025-11-04 12:56:13,697 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=11.62, mean=-0.107, std=2.959, absmax=11.62 +2025-11-04 12:56:14,054 ERROR: Encountered non-finite generator loss at iter 17514; skipping update. +2025-11-04 12:56:14,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:14,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.74, max=12.05, mean=-0.2466, std=2.979, absmax=15.74 +2025-11-04 12:56:14,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=10.7, mean=-0.2288, std=2.757, absmax=12.85 +2025-11-04 12:56:14,414 ERROR: Encountered non-finite generator loss at iter 17515; skipping update. +2025-11-04 12:56:14,415 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:14,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.36, mean=-0.153, std=2.975, absmax=12.36 +2025-11-04 12:56:14,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.58, mean=-0.1724, std=2.834, absmax=11.68 +2025-11-04 12:56:14,774 ERROR: Encountered non-finite generator loss at iter 17516; skipping update. +2025-11-04 12:56:14,775 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:14,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:14,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.44, mean=-0.06284, std=3.099, absmax=12.44 +2025-11-04 12:56:14,778 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=11.78, mean=-0.06401, std=2.797, absmax=11.78 +2025-11-04 12:56:15,134 ERROR: Encountered non-finite generator loss at iter 17517; skipping update. +2025-11-04 12:56:15,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:15,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.85, mean=0.09973, std=2.936, absmax=12.85 +2025-11-04 12:56:15,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=11.77, mean=0.09412, std=2.714, absmax=11.77 +2025-11-04 12:56:15,494 ERROR: Encountered non-finite generator loss at iter 17518; skipping update. +2025-11-04 12:56:15,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:15,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.02, mean=-0.142, std=2.933, absmax=13.02 +2025-11-04 12:56:15,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.37, mean=-0.1047, std=2.753, absmax=12.37 +2025-11-04 12:56:15,854 ERROR: Encountered non-finite generator loss at iter 17519; skipping update. +2025-11-04 12:56:15,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:15,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:15,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.94, mean=-0.1703, std=3.075, absmax=14.94 +2025-11-04 12:56:15,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=13.97, mean=-0.1992, std=2.887, absmax=13.97 +2025-11-04 12:56:16,214 ERROR: Encountered non-finite generator loss at iter 17520; skipping update. +2025-11-04 12:56:16,215 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,216 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,216 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:16,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.2, max=15.87, mean=-0.1385, std=2.909, absmax=16.2 +2025-11-04 12:56:16,218 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.26, max=14.3, mean=-0.1642, std=2.725, absmax=14.3 +2025-11-04 12:56:16,574 ERROR: Encountered non-finite generator loss at iter 17521; skipping update. +2025-11-04 12:56:16,575 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,576 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,576 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:16,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.84, mean=-0.1735, std=2.636, absmax=12.84 +2025-11-04 12:56:16,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=11.24, mean=-0.1647, std=2.466, absmax=11.93 +2025-11-04 12:56:16,934 ERROR: Encountered non-finite generator loss at iter 17522; skipping update. +2025-11-04 12:56:16,935 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,935 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:16,936 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:16,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.63, mean=-0.3025, std=2.825, absmax=13.63 +2025-11-04 12:56:16,937 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=10.35, mean=-0.2779, std=2.549, absmax=10.35 +2025-11-04 12:56:17,294 ERROR: Encountered non-finite generator loss at iter 17523; skipping update. +2025-11-04 12:56:17,295 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:17,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:17,296 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:17,296 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:17,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=10.75, mean=-0.1697, std=2.427, absmax=10.75 +2025-11-04 12:56:17,297 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=9.432, mean=-0.1383, std=2.333, absmax=11.16 +2025-11-04 12:56:17,659 ERROR: Encountered non-finite generator loss at iter 17524; skipping update. +2025-11-04 12:56:17,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:17,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:17,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:17,665 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:17,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.45, mean=-0.2377, std=2.976, absmax=13.82 +2025-11-04 12:56:17,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=11.29, mean=-0.29, std=2.819, absmax=12.19 +2025-11-04 12:56:18,032 ERROR: Encountered non-finite generator loss at iter 17525; skipping update. +2025-11-04 12:56:18,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:18,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.18, mean=-0.3425, std=2.362, absmax=12.18 +2025-11-04 12:56:18,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.77, max=10.44, mean=-0.2645, std=2.301, absmax=10.44 +2025-11-04 12:56:18,395 ERROR: Encountered non-finite generator loss at iter 17526; skipping update. +2025-11-04 12:56:18,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:18,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.31, mean=-0.285, std=2.779, absmax=13.67 +2025-11-04 12:56:18,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.72, mean=-0.2743, std=2.648, absmax=11.86 +2025-11-04 12:56:18,755 ERROR: Encountered non-finite generator loss at iter 17527; skipping update. +2025-11-04 12:56:18,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:18,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:18,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=13.98, mean=-0.3248, std=3.541, absmax=14.55 +2025-11-04 12:56:18,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=13.36, mean=-0.2788, std=3.247, absmax=13.36 +2025-11-04 12:56:19,115 ERROR: Encountered non-finite generator loss at iter 17528; skipping update. +2025-11-04 12:56:19,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:19,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.65, mean=-0.3268, std=3, absmax=12.65 +2025-11-04 12:56:19,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=11.44, mean=-0.3282, std=2.749, absmax=11.51 +2025-11-04 12:56:19,475 ERROR: Encountered non-finite generator loss at iter 17529; skipping update. +2025-11-04 12:56:19,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:19,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=17.43, mean=-0.133, std=3.695, absmax=17.43 +2025-11-04 12:56:19,478 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=15.2, mean=-0.1357, std=3.416, absmax=15.2 +2025-11-04 12:56:19,834 ERROR: Encountered non-finite generator loss at iter 17530; skipping update. +2025-11-04 12:56:19,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,836 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:19,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:19,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=11.04, mean=-0.2559, std=3.537, absmax=14.29 +2025-11-04 12:56:19,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=10.21, mean=-0.233, std=3.362, absmax=13.6 +2025-11-04 12:56:20,195 ERROR: Encountered non-finite generator loss at iter 17531; skipping update. +2025-11-04 12:56:20,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:20,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.66, mean=-0.1304, std=3.241, absmax=12.99 +2025-11-04 12:56:20,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=11.07, mean=-0.07566, std=3.159, absmax=12.4 +2025-11-04 12:56:20,554 ERROR: Encountered non-finite generator loss at iter 17532; skipping update. +2025-11-04 12:56:20,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:20,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.8, mean=-0.209, std=2.751, absmax=13.8 +2025-11-04 12:56:20,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.33, mean=-0.1776, std=2.587, absmax=12.33 +2025-11-04 12:56:20,914 ERROR: Encountered non-finite generator loss at iter 17533; skipping update. +2025-11-04 12:56:20,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:20,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:20,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.07, mean=0.1853, std=3.383, absmax=14.07 +2025-11-04 12:56:20,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=13.53, mean=0.1714, std=3.211, absmax=13.53 +2025-11-04 12:56:21,274 ERROR: Encountered non-finite generator loss at iter 17534; skipping update. +2025-11-04 12:56:21,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:21,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.55, mean=0.156, std=3.386, absmax=13.55 +2025-11-04 12:56:21,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.64, mean=0.1658, std=3.153, absmax=12.64 +2025-11-04 12:56:21,635 ERROR: Encountered non-finite generator loss at iter 17535; skipping update. +2025-11-04 12:56:21,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:21,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=10.52, mean=-0.3152, std=2.977, absmax=13.01 +2025-11-04 12:56:21,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=8.893, mean=-0.2681, std=2.827, absmax=12.44 +2025-11-04 12:56:21,995 ERROR: Encountered non-finite generator loss at iter 17536; skipping update. +2025-11-04 12:56:21,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:21,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:21,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.51, mean=-0.1581, std=2.865, absmax=13.13 +2025-11-04 12:56:21,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=9.879, mean=-0.1629, std=2.645, absmax=11.74 +2025-11-04 12:56:22,354 ERROR: Encountered non-finite generator loss at iter 17537; skipping update. +2025-11-04 12:56:22,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:22,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:22,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:22,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:22,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.51, mean=-0.01276, std=2.953, absmax=12.51 +2025-11-04 12:56:22,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=12.57, mean=-0.01484, std=2.736, absmax=12.57 +2025-11-04 12:56:22,714 ERROR: Encountered non-finite generator loss at iter 17538; skipping update. +2025-11-04 12:56:22,715 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:22,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:22,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:22,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:22,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.24, mean=-0.1242, std=2.856, absmax=12.46 +2025-11-04 12:56:22,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=10.06, mean=-0.1614, std=2.645, absmax=10.6 +2025-11-04 12:56:23,074 ERROR: Encountered non-finite generator loss at iter 17539; skipping update. +2025-11-04 12:56:23,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,077 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:23,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=13.1, mean=-0.2081, std=2.406, absmax=13.1 +2025-11-04 12:56:23,078 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=11.35, mean=-0.1815, std=2.242, absmax=11.35 +2025-11-04 12:56:23,434 ERROR: Encountered non-finite generator loss at iter 17540; skipping update. +2025-11-04 12:56:23,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:23,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=13.59, mean=-0.2076, std=3.391, absmax=14.63 +2025-11-04 12:56:23,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.21, mean=-0.2305, std=3.208, absmax=12.21 +2025-11-04 12:56:23,794 ERROR: Encountered non-finite generator loss at iter 17541; skipping update. +2025-11-04 12:56:23,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:23,796 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:23,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.23, mean=-0.09726, std=2.432, absmax=12.64 +2025-11-04 12:56:23,798 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=10.22, mean=-0.0367, std=2.305, absmax=10.37 +2025-11-04 12:56:24,154 ERROR: Encountered non-finite generator loss at iter 17542; skipping update. +2025-11-04 12:56:24,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:24,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.67, mean=-0.2568, std=3.217, absmax=13.68 +2025-11-04 12:56:24,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.23, mean=-0.2165, std=2.919, absmax=11.41 +2025-11-04 12:56:24,514 ERROR: Encountered non-finite generator loss at iter 17543; skipping update. +2025-11-04 12:56:24,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,517 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:24,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.19, mean=-0.109, std=2.665, absmax=12.19 +2025-11-04 12:56:24,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.495, max=11.68, mean=-0.08592, std=2.495, absmax=11.68 +2025-11-04 12:56:24,874 ERROR: Encountered non-finite generator loss at iter 17544; skipping update. +2025-11-04 12:56:24,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:24,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:24,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=16.73, mean=-0.2953, std=3.867, absmax=16.73 +2025-11-04 12:56:24,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=14.58, mean=-0.3071, std=3.528, absmax=14.58 +2025-11-04 12:56:25,234 ERROR: Encountered non-finite generator loss at iter 17545; skipping update. +2025-11-04 12:56:25,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,236 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:25,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.82, mean=-0.1903, std=2.575, absmax=12.76 +2025-11-04 12:56:25,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.51, mean=-0.1824, std=2.391, absmax=11.35 +2025-11-04 12:56:25,595 ERROR: Encountered non-finite generator loss at iter 17546; skipping update. +2025-11-04 12:56:25,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:25,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.29, mean=-0.2203, std=2.683, absmax=13.22 +2025-11-04 12:56:25,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=10.1, mean=-0.1921, std=2.474, absmax=10.91 +2025-11-04 12:56:25,954 ERROR: Encountered non-finite generator loss at iter 17547; skipping update. +2025-11-04 12:56:25,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:25,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:25,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.41, mean=-0.1673, std=2.651, absmax=12.61 +2025-11-04 12:56:25,957 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=9.341, mean=-0.1528, std=2.588, absmax=12.86 +2025-11-04 12:56:26,314 ERROR: Encountered non-finite generator loss at iter 17548; skipping update. +2025-11-04 12:56:26,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:26,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:26,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:26,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:26,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.64, mean=-0.204, std=3, absmax=12.64 +2025-11-04 12:56:26,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.95, mean=-0.2018, std=2.829, absmax=11.6 +2025-11-04 12:56:26,674 ERROR: Encountered non-finite generator loss at iter 17549; skipping update. +2025-11-04 12:56:26,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:26,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:26,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:26,676 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:26,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=16.93, mean=-0.1826, std=3.05, absmax=16.93 +2025-11-04 12:56:26,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=15.77, mean=-0.1753, std=2.936, absmax=15.77 +2025-11-04 12:56:27,034 ERROR: Encountered non-finite generator loss at iter 17550; skipping update. +2025-11-04 12:56:27,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:27,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=16.68, mean=-0.112, std=3.03, absmax=16.68 +2025-11-04 12:56:27,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=12.59, mean=-0.1198, std=2.71, absmax=12.59 +2025-11-04 12:56:27,394 ERROR: Encountered non-finite generator loss at iter 17551; skipping update. +2025-11-04 12:56:27,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:27,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.92, mean=-0.2808, std=2.752, absmax=12.69 +2025-11-04 12:56:27,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=9.512, mean=-0.2512, std=2.502, absmax=11.2 +2025-11-04 12:56:27,758 ERROR: Encountered non-finite generator loss at iter 17552; skipping update. +2025-11-04 12:56:27,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:27,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:27,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=11.95, mean=-0.2724, std=3.029, absmax=14.19 +2025-11-04 12:56:27,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=9.514, mean=-0.2431, std=2.813, absmax=12.93 +2025-11-04 12:56:28,118 ERROR: Encountered non-finite generator loss at iter 17553; skipping update. +2025-11-04 12:56:28,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:28,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=14.24, mean=-0.2171, std=2.489, absmax=14.24 +2025-11-04 12:56:28,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.806, max=10.84, mean=-0.2136, std=2.364, absmax=10.84 +2025-11-04 12:56:28,477 ERROR: Encountered non-finite generator loss at iter 17554; skipping update. +2025-11-04 12:56:28,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:28,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.88, mean=0.08862, std=2.932, absmax=12.88 +2025-11-04 12:56:28,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=11.81, mean=0.09554, std=2.7, absmax=11.81 +2025-11-04 12:56:28,837 ERROR: Encountered non-finite generator loss at iter 17555; skipping update. +2025-11-04 12:56:28,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:28,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:28,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.7, mean=-0.08408, std=3.078, absmax=14.7 +2025-11-04 12:56:28,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=13.3, mean=-0.04987, std=2.75, absmax=13.3 +2025-11-04 12:56:29,197 ERROR: Encountered non-finite generator loss at iter 17556; skipping update. +2025-11-04 12:56:29,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:29,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.38, mean=-0.08604, std=2.83, absmax=14.54 +2025-11-04 12:56:29,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.88, mean=-0.0447, std=2.581, absmax=11.88 +2025-11-04 12:56:29,555 ERROR: Encountered non-finite generator loss at iter 17557; skipping update. +2025-11-04 12:56:29,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:29,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.35, mean=-0.126, std=2.789, absmax=13.35 +2025-11-04 12:56:29,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=12.31, mean=-0.1313, std=2.485, absmax=12.31 +2025-11-04 12:56:29,916 ERROR: Encountered non-finite generator loss at iter 17558; skipping update. +2025-11-04 12:56:29,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:29,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:29,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=16.08, mean=-0.1625, std=3.023, absmax=16.08 +2025-11-04 12:56:29,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=14.88, mean=-0.1507, std=2.833, absmax=14.88 +2025-11-04 12:56:30,275 ERROR: Encountered non-finite generator loss at iter 17559; skipping update. +2025-11-04 12:56:30,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,276 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:30,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=12.21, mean=-0.1007, std=3.238, absmax=15.31 +2025-11-04 12:56:30,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=11.53, mean=-0.1214, std=3.04, absmax=13.67 +2025-11-04 12:56:30,634 ERROR: Encountered non-finite generator loss at iter 17560; skipping update. +2025-11-04 12:56:30,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:30,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.79, mean=-0.1277, std=3.128, absmax=13.79 +2025-11-04 12:56:30,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.21, mean=-0.1666, std=2.907, absmax=11.66 +2025-11-04 12:56:30,993 ERROR: Encountered non-finite generator loss at iter 17561; skipping update. +2025-11-04 12:56:30,994 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,995 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:30,995 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:30,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.44, mean=0.1039, std=3.66, absmax=14.44 +2025-11-04 12:56:30,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.74, mean=0.05516, std=3.502, absmax=12.74 +2025-11-04 12:56:31,353 ERROR: Encountered non-finite generator loss at iter 17562; skipping update. +2025-11-04 12:56:31,354 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:31,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:31,355 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:31,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:31,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=15.17, mean=-0.2142, std=3.552, absmax=15.22 +2025-11-04 12:56:31,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=14.19, mean=-0.2388, std=3.343, absmax=14.19 +2025-11-04 12:56:31,714 ERROR: Encountered non-finite generator loss at iter 17563; skipping update. +2025-11-04 12:56:31,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:31,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:31,715 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:31,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:31,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=12.14, mean=-0.1717, std=3.026, absmax=14.2 +2025-11-04 12:56:31,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=10.65, mean=-0.1825, std=2.837, absmax=13.08 +2025-11-04 12:56:32,073 ERROR: Encountered non-finite generator loss at iter 17564; skipping update. +2025-11-04 12:56:32,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,075 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:32,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=12.25, mean=-0.06652, std=3.2, absmax=14.18 +2025-11-04 12:56:32,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10.76, mean=-0.05495, std=2.966, absmax=12.05 +2025-11-04 12:56:32,433 ERROR: Encountered non-finite generator loss at iter 17565; skipping update. +2025-11-04 12:56:32,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:32,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.04, mean=-0.04461, std=3.178, absmax=14.09 +2025-11-04 12:56:32,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=12.55, mean=-0.07292, std=3.025, absmax=12.55 +2025-11-04 12:56:32,794 ERROR: Encountered non-finite generator loss at iter 17566; skipping update. +2025-11-04 12:56:32,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,795 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:32,796 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:32,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.79, max=13.73, mean=-0.2454, std=2.855, absmax=15.79 +2025-11-04 12:56:32,797 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=12.31, mean=-0.2228, std=2.62, absmax=13.27 +2025-11-04 12:56:33,154 ERROR: Encountered non-finite generator loss at iter 17567; skipping update. +2025-11-04 12:56:33,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:33,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.53, mean=-0.3, std=2.955, absmax=13.96 +2025-11-04 12:56:33,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=13.91, mean=-0.2388, std=2.758, absmax=13.91 +2025-11-04 12:56:33,514 ERROR: Encountered non-finite generator loss at iter 17568; skipping update. +2025-11-04 12:56:33,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:33,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.19, max=10.43, mean=-0.34, std=2.364, absmax=10.43 +2025-11-04 12:56:33,517 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=11.38, mean=-0.3114, std=2.324, absmax=11.38 +2025-11-04 12:56:33,874 ERROR: Encountered non-finite generator loss at iter 17569; skipping update. +2025-11-04 12:56:33,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:33,876 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:33,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.64, max=13.32, mean=-0.2804, std=3.063, absmax=15.64 +2025-11-04 12:56:33,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=11.21, mean=-0.3122, std=3.028, absmax=12.49 +2025-11-04 12:56:34,234 ERROR: Encountered non-finite generator loss at iter 17570; skipping update. +2025-11-04 12:56:34,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:34,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=10.97, mean=-0.2402, std=3.241, absmax=11.48 +2025-11-04 12:56:34,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.01, mean=-0.2339, std=3.087, absmax=11.26 +2025-11-04 12:56:34,594 ERROR: Encountered non-finite generator loss at iter 17571; skipping update. +2025-11-04 12:56:34,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:34,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=12.36, mean=-0.1656, std=3.262, absmax=12.36 +2025-11-04 12:56:34,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=11.36, mean=-0.1695, std=3.004, absmax=11.87 +2025-11-04 12:56:34,956 ERROR: Encountered non-finite generator loss at iter 17572; skipping update. +2025-11-04 12:56:34,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:34,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:34,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.14, mean=-0.09557, std=3.185, absmax=14.12 +2025-11-04 12:56:34,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=11.81, mean=-0.08012, std=3.026, absmax=12.88 +2025-11-04 12:56:35,315 ERROR: Encountered non-finite generator loss at iter 17573; skipping update. +2025-11-04 12:56:35,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:35,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:35,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:35,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:35,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=11.82, mean=-0.2463, std=3.031, absmax=14.74 +2025-11-04 12:56:35,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.74, mean=-0.2344, std=2.815, absmax=11.14 +2025-11-04 12:56:35,675 ERROR: Encountered non-finite generator loss at iter 17574; skipping update. +2025-11-04 12:56:35,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:35,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:35,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:35,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:35,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=15.57, mean=-0.1125, std=2.968, absmax=15.57 +2025-11-04 12:56:35,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=12.95, mean=-0.09213, std=2.74, absmax=12.95 +2025-11-04 12:56:36,035 ERROR: Encountered non-finite generator loss at iter 17575; skipping update. +2025-11-04 12:56:36,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:36,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.12, mean=-0.02371, std=3.462, absmax=14 +2025-11-04 12:56:36,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=12.65, mean=-0.03069, std=3.143, absmax=12.65 +2025-11-04 12:56:36,394 ERROR: Encountered non-finite generator loss at iter 17576; skipping update. +2025-11-04 12:56:36,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:36,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=14.96, mean=-0.01428, std=3.217, absmax=14.96 +2025-11-04 12:56:36,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=11.95, mean=-0.0255, std=2.957, absmax=11.95 +2025-11-04 12:56:36,755 ERROR: Encountered non-finite generator loss at iter 17577; skipping update. +2025-11-04 12:56:36,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:36,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:36,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.07, mean=-0.08184, std=3.24, absmax=13.07 +2025-11-04 12:56:36,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=10.96, mean=-0.07205, std=2.947, absmax=11.9 +2025-11-04 12:56:37,115 ERROR: Encountered non-finite generator loss at iter 17578; skipping update. +2025-11-04 12:56:37,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:37,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=10.52, mean=-0.227, std=2.544, absmax=12.56 +2025-11-04 12:56:37,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=9.97, mean=-0.1811, std=2.357, absmax=10.71 +2025-11-04 12:56:37,475 ERROR: Encountered non-finite generator loss at iter 17579; skipping update. +2025-11-04 12:56:37,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:37,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=17.14, mean=0.01145, std=3.198, absmax=17.14 +2025-11-04 12:56:37,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=13.78, mean=0.02656, std=2.906, absmax=13.78 +2025-11-04 12:56:37,835 ERROR: Encountered non-finite generator loss at iter 17580; skipping update. +2025-11-04 12:56:37,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:37,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:37,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.19, mean=0.01731, std=2.99, absmax=12.19 +2025-11-04 12:56:37,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.668, max=11.4, mean=0.05218, std=2.752, absmax=11.4 +2025-11-04 12:56:38,195 ERROR: Encountered non-finite generator loss at iter 17581; skipping update. +2025-11-04 12:56:38,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:38,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.13, max=12.39, mean=-0.3166, std=3.137, absmax=16.13 +2025-11-04 12:56:38,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=11.44, mean=-0.2773, std=2.912, absmax=13.12 +2025-11-04 12:56:38,555 ERROR: Encountered non-finite generator loss at iter 17582; skipping update. +2025-11-04 12:56:38,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:38,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=15.73, mean=-0.2338, std=2.975, absmax=15.73 +2025-11-04 12:56:38,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=14.12, mean=-0.2116, std=2.77, absmax=14.12 +2025-11-04 12:56:38,916 ERROR: Encountered non-finite generator loss at iter 17583; skipping update. +2025-11-04 12:56:38,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:38,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:38,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.82, mean=0.08704, std=2.989, absmax=12.82 +2025-11-04 12:56:38,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=13.01, mean=0.07274, std=2.944, absmax=13.01 +2025-11-04 12:56:39,275 ERROR: Encountered non-finite generator loss at iter 17584; skipping update. +2025-11-04 12:56:39,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:39,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.66, mean=-0.2254, std=2.722, absmax=12.66 +2025-11-04 12:56:39,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=12.37, mean=-0.1814, std=2.562, absmax=12.37 +2025-11-04 12:56:39,635 ERROR: Encountered non-finite generator loss at iter 17585; skipping update. +2025-11-04 12:56:39,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:39,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=14.49, mean=-0.1776, std=2.795, absmax=14.49 +2025-11-04 12:56:39,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=14.2, mean=-0.1553, std=2.611, absmax=14.2 +2025-11-04 12:56:39,995 ERROR: Encountered non-finite generator loss at iter 17586; skipping update. +2025-11-04 12:56:39,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:39,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:39,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.89, mean=-0.1816, std=2.89, absmax=13.89 +2025-11-04 12:56:39,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=13.39, mean=-0.1307, std=2.797, absmax=13.39 +2025-11-04 12:56:40,354 ERROR: Encountered non-finite generator loss at iter 17587; skipping update. +2025-11-04 12:56:40,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:40,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:40,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:40,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:40,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=10.09, mean=-0.2832, std=2.785, absmax=14.79 +2025-11-04 12:56:40,358 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=8.78, mean=-0.32, std=2.554, absmax=13.39 +2025-11-04 12:56:40,715 ERROR: Encountered non-finite generator loss at iter 17588; skipping update. +2025-11-04 12:56:40,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:40,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:40,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:40,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:40,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=12.85, mean=-0.2347, std=2.949, absmax=12.85 +2025-11-04 12:56:40,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.41, mean=-0.2353, std=2.743, absmax=11.16 +2025-11-04 12:56:41,076 ERROR: Encountered non-finite generator loss at iter 17589; skipping update. +2025-11-04 12:56:41,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:41,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.06, mean=-0.02722, std=3.426, absmax=14.06 +2025-11-04 12:56:41,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=13.65, mean=-0.01678, std=3.148, absmax=13.65 +2025-11-04 12:56:41,436 ERROR: Encountered non-finite generator loss at iter 17590; skipping update. +2025-11-04 12:56:41,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:41,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=10.8, mean=-0.1319, std=2.53, absmax=11.21 +2025-11-04 12:56:41,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=10.65, mean=-0.1275, std=2.571, absmax=13.23 +2025-11-04 12:56:41,795 ERROR: Encountered non-finite generator loss at iter 17591; skipping update. +2025-11-04 12:56:41,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:41,797 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:41,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.33, max=16.25, mean=-0.02568, std=3.085, absmax=18.33 +2025-11-04 12:56:41,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=13.21, mean=-0.02852, std=2.777, absmax=13.21 +2025-11-04 12:56:42,154 ERROR: Encountered non-finite generator loss at iter 17592; skipping update. +2025-11-04 12:56:42,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:42,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=14.88, mean=0.02139, std=3.854, absmax=14.94 +2025-11-04 12:56:42,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=14.08, mean=0.03789, std=3.668, absmax=14.08 +2025-11-04 12:56:42,515 ERROR: Encountered non-finite generator loss at iter 17593; skipping update. +2025-11-04 12:56:42,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:42,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.82, mean=-0.01562, std=3.067, absmax=13.82 +2025-11-04 12:56:42,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=10.34, mean=-0.02178, std=2.728, absmax=10.64 +2025-11-04 12:56:42,875 ERROR: Encountered non-finite generator loss at iter 17594; skipping update. +2025-11-04 12:56:42,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:42,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:42,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.53, mean=-0.153, std=2.917, absmax=13.53 +2025-11-04 12:56:42,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=12.48, mean=-0.1361, std=2.709, absmax=12.48 +2025-11-04 12:56:43,236 ERROR: Encountered non-finite generator loss at iter 17595; skipping update. +2025-11-04 12:56:43,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:43,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=10.71, mean=-0.143, std=2.315, absmax=11.66 +2025-11-04 12:56:43,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.793, max=8.958, mean=-0.0841, std=2.175, absmax=9.793 +2025-11-04 12:56:43,595 ERROR: Encountered non-finite generator loss at iter 17596; skipping update. +2025-11-04 12:56:43,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:43,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=12.3, mean=-0.2835, std=2.847, absmax=14.48 +2025-11-04 12:56:43,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=9.836, mean=-0.2616, std=2.689, absmax=11.85 +2025-11-04 12:56:43,955 ERROR: Encountered non-finite generator loss at iter 17597; skipping update. +2025-11-04 12:56:43,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:43,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:43,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=16.45, mean=-0.05626, std=3.102, absmax=16.45 +2025-11-04 12:56:43,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=15.78, mean=-0.08, std=2.865, absmax=15.78 +2025-11-04 12:56:44,315 ERROR: Encountered non-finite generator loss at iter 17598; skipping update. +2025-11-04 12:56:44,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:44,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:44,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:44,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:44,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.46, mean=-0.04797, std=3.019, absmax=13.11 +2025-11-04 12:56:44,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=11.79, mean=-0.02294, std=2.904, absmax=11.79 +2025-11-04 12:56:44,675 ERROR: Encountered non-finite generator loss at iter 17599; skipping update. +2025-11-04 12:56:44,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:44,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:44,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:44,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:44,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.56, mean=-0.1189, std=2.915, absmax=12.84 +2025-11-04 12:56:44,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.59, mean=-0.138, std=2.669, absmax=10.74 +2025-11-04 12:56:45,034 ERROR: Encountered non-finite generator loss at iter 17600; skipping update. +2025-11-04 12:56:45,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:45,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=9.966, mean=-0.1968, std=2.343, absmax=11.32 +2025-11-04 12:56:45,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=9.293, mean=-0.1744, std=2.257, absmax=10.11 +2025-11-04 12:56:45,038 INFO: [38..][epoch: 0, step: 17,600, lr:(2.000e-04,)] [eta: 1 day, 12:21:32, time (data): 0.360 (0.000)] +2025-11-04 12:56:45,394 ERROR: Encountered non-finite generator loss at iter 17601; skipping update. +2025-11-04 12:56:45,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,396 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:45,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.3, mean=-0.1096, std=2.743, absmax=12.13 +2025-11-04 12:56:45,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=10.83, mean=-0.109, std=2.555, absmax=12.22 +2025-11-04 12:56:45,754 ERROR: Encountered non-finite generator loss at iter 17602; skipping update. +2025-11-04 12:56:45,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:45,756 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:45,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=12.83, mean=-0.09041, std=3.407, absmax=14.84 +2025-11-04 12:56:45,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.72, mean=-0.07637, std=3.131, absmax=12.34 +2025-11-04 12:56:46,114 ERROR: Encountered non-finite generator loss at iter 17603; skipping update. +2025-11-04 12:56:46,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:46,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.24, mean=-0.2098, std=2.55, absmax=11.81 +2025-11-04 12:56:46,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=10.53, mean=-0.1941, std=2.443, absmax=10.53 +2025-11-04 12:56:46,474 ERROR: Encountered non-finite generator loss at iter 17604; skipping update. +2025-11-04 12:56:46,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,476 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:46,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.86, max=16.68, mean=-0.3234, std=3.074, absmax=16.68 +2025-11-04 12:56:46,478 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.6, max=12.54, mean=-0.2887, std=2.871, absmax=14.6 +2025-11-04 12:56:46,835 ERROR: Encountered non-finite generator loss at iter 17605; skipping update. +2025-11-04 12:56:46,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:46,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:46,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=14.1, mean=-0.1615, std=2.921, absmax=14.54 +2025-11-04 12:56:46,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=11.25, mean=-0.1327, std=2.723, absmax=12.97 +2025-11-04 12:56:47,195 ERROR: Encountered non-finite generator loss at iter 17606; skipping update. +2025-11-04 12:56:47,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:47,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=12.9, mean=-0.1046, std=3.622, absmax=14.34 +2025-11-04 12:56:47,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.73, mean=-0.0737, std=3.343, absmax=12.97 +2025-11-04 12:56:47,555 ERROR: Encountered non-finite generator loss at iter 17607; skipping update. +2025-11-04 12:56:47,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:47,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.54, mean=-0.2345, std=2.924, absmax=12.92 +2025-11-04 12:56:47,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=12.07, mean=-0.2329, std=2.745, absmax=12.07 +2025-11-04 12:56:47,915 ERROR: Encountered non-finite generator loss at iter 17608; skipping update. +2025-11-04 12:56:47,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:47,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:47,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.64, mean=-0.03021, std=3.374, absmax=13.64 +2025-11-04 12:56:47,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=13.27, mean=-0.03464, std=3.192, absmax=13.27 +2025-11-04 12:56:48,293 ERROR: Encountered non-finite generator loss at iter 17609; skipping update. +2025-11-04 12:56:48,294 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:48,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:48,295 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:48,295 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:48,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=13.21, mean=-0.1932, std=2.948, absmax=15.04 +2025-11-04 12:56:48,296 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=11.95, mean=-0.1733, std=2.757, absmax=12.26 +2025-11-04 12:56:48,653 ERROR: Encountered non-finite generator loss at iter 17610; skipping update. +2025-11-04 12:56:48,654 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:48,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:48,655 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:48,655 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:48,656 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.89, mean=-0.1979, std=3.455, absmax=13.89 +2025-11-04 12:56:48,657 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=13.2, mean=-0.1579, std=3.115, absmax=13.2 +2025-11-04 12:56:49,014 ERROR: Encountered non-finite generator loss at iter 17611; skipping update. +2025-11-04 12:56:49,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:49,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=12.59, mean=-0.2642, std=2.584, absmax=12.59 +2025-11-04 12:56:49,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=10.67, mean=-0.2655, std=2.427, absmax=10.93 +2025-11-04 12:56:49,374 ERROR: Encountered non-finite generator loss at iter 17612; skipping update. +2025-11-04 12:56:49,375 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,376 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,376 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:49,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.49, mean=-0.3208, std=2.972, absmax=14.04 +2025-11-04 12:56:49,377 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=9.927, mean=-0.3196, std=2.912, absmax=11.34 +2025-11-04 12:56:49,734 ERROR: Encountered non-finite generator loss at iter 17613; skipping update. +2025-11-04 12:56:49,735 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:49,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:49,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.81, max=11.2, mean=-0.2731, std=3.889, absmax=15.81 +2025-11-04 12:56:49,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.63, max=10.9, mean=-0.2677, std=3.682, absmax=14.63 +2025-11-04 12:56:50,096 ERROR: Encountered non-finite generator loss at iter 17614; skipping update. +2025-11-04 12:56:50,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:50,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=15.34, mean=-0.1336, std=3.471, absmax=15.34 +2025-11-04 12:56:50,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=15.32, mean=-0.1459, std=3.304, absmax=15.32 +2025-11-04 12:56:50,455 ERROR: Encountered non-finite generator loss at iter 17615; skipping update. +2025-11-04 12:56:50,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:50,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.08, mean=-0.26, std=3.187, absmax=14.08 +2025-11-04 12:56:50,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.82, mean=-0.2417, std=2.954, absmax=11.82 +2025-11-04 12:56:50,815 ERROR: Encountered non-finite generator loss at iter 17616; skipping update. +2025-11-04 12:56:50,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:50,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:50,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.9, mean=-0.01616, std=3.115, absmax=13.9 +2025-11-04 12:56:50,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=13.15, mean=-0.02183, std=2.799, absmax=13.15 +2025-11-04 12:56:51,175 ERROR: Encountered non-finite generator loss at iter 17617; skipping update. +2025-11-04 12:56:51,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,177 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:51,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=9.818, mean=-0.1936, std=2.499, absmax=11.72 +2025-11-04 12:56:51,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=9.319, mean=-0.2064, std=2.315, absmax=11.23 +2025-11-04 12:56:51,535 ERROR: Encountered non-finite generator loss at iter 17618; skipping update. +2025-11-04 12:56:51,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:51,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.06, mean=-0.0546, std=2.59, absmax=12.06 +2025-11-04 12:56:51,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.15, mean=-0.04947, std=2.484, absmax=11.38 +2025-11-04 12:56:51,894 ERROR: Encountered non-finite generator loss at iter 17619; skipping update. +2025-11-04 12:56:51,896 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,896 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:51,897 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:51,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.38, mean=0.03615, std=3.208, absmax=14.38 +2025-11-04 12:56:51,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=13.17, mean=0.07926, std=3.006, absmax=13.17 +2025-11-04 12:56:52,254 ERROR: Encountered non-finite generator loss at iter 17620; skipping update. +2025-11-04 12:56:52,256 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,257 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:52,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.3, mean=0.1223, std=3.808, absmax=13.3 +2025-11-04 12:56:52,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=11.07, mean=0.1049, std=3.41, absmax=11.78 +2025-11-04 12:56:52,615 ERROR: Encountered non-finite generator loss at iter 17621; skipping update. +2025-11-04 12:56:52,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:52,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.1, mean=-0.06685, std=3.433, absmax=14.1 +2025-11-04 12:56:52,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=12.83, mean=-0.05758, std=3.122, absmax=13 +2025-11-04 12:56:52,974 ERROR: Encountered non-finite generator loss at iter 17622; skipping update. +2025-11-04 12:56:52,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:52,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:52,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.14, mean=-0.2097, std=3.011, absmax=13.4 +2025-11-04 12:56:52,977 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.15, mean=-0.2491, std=2.773, absmax=12.15 +2025-11-04 12:56:53,334 ERROR: Encountered non-finite generator loss at iter 17623; skipping update. +2025-11-04 12:56:53,336 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:53,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:53,336 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:53,337 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:53,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.92, mean=-0.09744, std=3.65, absmax=13.92 +2025-11-04 12:56:53,338 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=11.16, mean=-0.0301, std=3.45, absmax=13.07 +2025-11-04 12:56:53,695 ERROR: Encountered non-finite generator loss at iter 17624; skipping update. +2025-11-04 12:56:53,696 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:53,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:53,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:53,697 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:53,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.92, mean=-0.01085, std=3.563, absmax=12.92 +2025-11-04 12:56:53,698 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=11.99, mean=0.02627, std=3.33, absmax=11.99 +2025-11-04 12:56:54,055 ERROR: Encountered non-finite generator loss at iter 17625; skipping update. +2025-11-04 12:56:54,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,057 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:54,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.85, mean=-0.2155, std=2.757, absmax=13.85 +2025-11-04 12:56:54,058 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=10.04, mean=-0.2221, std=2.542, absmax=11.45 +2025-11-04 12:56:54,414 ERROR: Encountered non-finite generator loss at iter 17626; skipping update. +2025-11-04 12:56:54,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,417 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:54,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=17.97, mean=0.02625, std=3.797, absmax=17.97 +2025-11-04 12:56:54,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.88, max=17.95, mean=0.05475, std=3.561, absmax=17.95 +2025-11-04 12:56:54,774 ERROR: Encountered non-finite generator loss at iter 17627; skipping update. +2025-11-04 12:56:54,775 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:54,777 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:54,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=10.44, mean=-0.2469, std=2.393, absmax=11.74 +2025-11-04 12:56:54,778 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=9.377, mean=-0.216, std=2.304, absmax=10.9 +2025-11-04 12:56:55,135 ERROR: Encountered non-finite generator loss at iter 17628; skipping update. +2025-11-04 12:56:55,136 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,137 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,137 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:55,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.32, mean=0.1482, std=3.563, absmax=14.17 +2025-11-04 12:56:55,138 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.18, mean=0.12, std=3.184, absmax=12.18 +2025-11-04 12:56:55,495 ERROR: Encountered non-finite generator loss at iter 17629; skipping update. +2025-11-04 12:56:55,496 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,497 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:55,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=13.07, mean=-0.1651, std=2.709, absmax=13.07 +2025-11-04 12:56:55,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=11.43, mean=-0.1574, std=2.569, absmax=11.43 +2025-11-04 12:56:55,854 ERROR: Encountered non-finite generator loss at iter 17630; skipping update. +2025-11-04 12:56:55,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:55,857 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:55,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.43, mean=0.05526, std=3.27, absmax=14.43 +2025-11-04 12:56:55,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=12.76, mean=0.03826, std=3.034, absmax=12.76 +2025-11-04 12:56:56,215 ERROR: Encountered non-finite generator loss at iter 17631; skipping update. +2025-11-04 12:56:56,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,217 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,217 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:56,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=12.33, mean=-0.1477, std=2.832, absmax=14.14 +2025-11-04 12:56:56,218 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=12.24, mean=-0.1584, std=2.614, absmax=12.24 +2025-11-04 12:56:56,575 ERROR: Encountered non-finite generator loss at iter 17632; skipping update. +2025-11-04 12:56:56,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,576 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,577 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:56,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.7, mean=-0.06509, std=3.131, absmax=14.7 +2025-11-04 12:56:56,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=12.9, mean=-0.06927, std=2.899, absmax=12.9 +2025-11-04 12:56:56,935 ERROR: Encountered non-finite generator loss at iter 17633; skipping update. +2025-11-04 12:56:56,936 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:56,937 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:56,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.05, mean=-0.2133, std=2.691, absmax=13.63 +2025-11-04 12:56:56,938 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.24, mean=-0.1876, std=2.458, absmax=10.63 +2025-11-04 12:56:57,294 ERROR: Encountered non-finite generator loss at iter 17634; skipping update. +2025-11-04 12:56:57,295 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:57,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:57,296 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:57,296 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:57,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.36, mean=-0.02978, std=3.075, absmax=13.36 +2025-11-04 12:56:57,298 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=12.08, mean=-0.02321, std=2.838, absmax=12.08 +2025-11-04 12:56:57,654 ERROR: Encountered non-finite generator loss at iter 17635; skipping update. +2025-11-04 12:56:57,655 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:57,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:57,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:57,656 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:57,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=14.35, mean=-0.1529, std=2.988, absmax=14.35 +2025-11-04 12:56:57,657 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=10.93, mean=-0.1323, std=2.765, absmax=10.95 +2025-11-04 12:56:58,014 ERROR: Encountered non-finite generator loss at iter 17636; skipping update. +2025-11-04 12:56:58,016 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,017 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:58,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=15, mean=-0.2039, std=3.164, absmax=15 +2025-11-04 12:56:58,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.64, mean=-0.1893, std=3.003, absmax=12.95 +2025-11-04 12:56:58,375 ERROR: Encountered non-finite generator loss at iter 17637; skipping update. +2025-11-04 12:56:58,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:58,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.66, mean=-0.2219, std=2.73, absmax=12.67 +2025-11-04 12:56:58,378 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.21, mean=-0.2035, std=2.513, absmax=11.49 +2025-11-04 12:56:58,735 ERROR: Encountered non-finite generator loss at iter 17638; skipping update. +2025-11-04 12:56:58,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:58,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:58,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=10.75, mean=-0.219, std=2.635, absmax=11.35 +2025-11-04 12:56:58,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=8.656, mean=-0.2078, std=2.417, absmax=10.54 +2025-11-04 12:56:59,096 ERROR: Encountered non-finite generator loss at iter 17639; skipping update. +2025-11-04 12:56:59,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:59,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=13.67, mean=-0.07786, std=2.558, absmax=13.67 +2025-11-04 12:56:59,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=13.33, mean=-0.03352, std=2.492, absmax=13.33 +2025-11-04 12:56:59,455 ERROR: Encountered non-finite generator loss at iter 17640; skipping update. +2025-11-04 12:56:59,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:59,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.31, mean=-0.1222, std=2.756, absmax=12.31 +2025-11-04 12:56:59,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.96, mean=-0.1032, std=2.705, absmax=11.37 +2025-11-04 12:56:59,815 ERROR: Encountered non-finite generator loss at iter 17641; skipping update. +2025-11-04 12:56:59,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:56:59,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:56:59,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.52, mean=-0.1719, std=3.412, absmax=12.52 +2025-11-04 12:56:59,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=10.34, mean=-0.1742, std=3.105, absmax=12.19 +2025-11-04 12:57:00,175 ERROR: Encountered non-finite generator loss at iter 17642; skipping update. +2025-11-04 12:57:00,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,177 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:00,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=18.34, mean=0.03754, std=3.142, absmax=18.34 +2025-11-04 12:57:00,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=17.18, mean=0.0451, std=2.9, absmax=17.18 +2025-11-04 12:57:00,535 ERROR: Encountered non-finite generator loss at iter 17643; skipping update. +2025-11-04 12:57:00,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:00,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=14.15, mean=0.05246, std=3.489, absmax=14.15 +2025-11-04 12:57:00,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.59, mean=0.07283, std=3.12, absmax=12.59 +2025-11-04 12:57:00,895 ERROR: Encountered non-finite generator loss at iter 17644; skipping update. +2025-11-04 12:57:00,896 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,897 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:00,897 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:00,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.93, mean=0.06156, std=2.881, absmax=12.93 +2025-11-04 12:57:00,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=11.61, mean=0.06284, std=2.724, absmax=11.61 +2025-11-04 12:57:01,254 ERROR: Encountered non-finite generator loss at iter 17645; skipping update. +2025-11-04 12:57:01,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:01,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.43, mean=-0.03203, std=3.043, absmax=14.28 +2025-11-04 12:57:01,257 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.11, mean=-0.04335, std=2.765, absmax=12.11 +2025-11-04 12:57:01,614 ERROR: Encountered non-finite generator loss at iter 17646; skipping update. +2025-11-04 12:57:01,615 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:01,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=11.63, mean=-0.1243, std=3.124, absmax=12.75 +2025-11-04 12:57:01,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=9.754, mean=-0.1587, std=2.923, absmax=12.31 +2025-11-04 12:57:01,974 ERROR: Encountered non-finite generator loss at iter 17647; skipping update. +2025-11-04 12:57:01,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:01,977 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:01,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.92, max=15.78, mean=-0.09796, std=3.562, absmax=15.92 +2025-11-04 12:57:01,978 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.5, max=12.75, mean=-0.05558, std=3.27, absmax=14.5 +2025-11-04 12:57:02,335 ERROR: Encountered non-finite generator loss at iter 17648; skipping update. +2025-11-04 12:57:02,336 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:02,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:02,337 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:02,337 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:02,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.35, mean=-0.05824, std=2.674, absmax=13.35 +2025-11-04 12:57:02,338 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=12.4, mean=-0.0672, std=2.5, absmax=12.4 +2025-11-04 12:57:02,695 ERROR: Encountered non-finite generator loss at iter 17649; skipping update. +2025-11-04 12:57:02,696 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:02,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:02,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:02,697 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:02,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.66, max=10.68, mean=-0.1772, std=2.414, absmax=10.68 +2025-11-04 12:57:02,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=8.924, mean=-0.1709, std=2.214, absmax=10.28 +2025-11-04 12:57:03,055 ERROR: Encountered non-finite generator loss at iter 17650; skipping update. +2025-11-04 12:57:03,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:03,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=15.01, mean=-0.1785, std=3.23, absmax=15.01 +2025-11-04 12:57:03,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=12.95, mean=-0.1813, std=2.899, absmax=12.95 +2025-11-04 12:57:03,416 ERROR: Encountered non-finite generator loss at iter 17651; skipping update. +2025-11-04 12:57:03,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:03,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=11.75, mean=-0.1791, std=3.082, absmax=14 +2025-11-04 12:57:03,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=10.5, mean=-0.224, std=2.93, absmax=12.69 +2025-11-04 12:57:03,776 ERROR: Encountered non-finite generator loss at iter 17652; skipping update. +2025-11-04 12:57:03,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:03,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:03,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.52, mean=-0.1747, std=3.038, absmax=13.39 +2025-11-04 12:57:03,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=9.691, mean=-0.1846, std=2.844, absmax=12.06 +2025-11-04 12:57:04,136 ERROR: Encountered non-finite generator loss at iter 17653; skipping update. +2025-11-04 12:57:04,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:04,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=12.9, mean=-0.282, std=2.667, absmax=12.9 +2025-11-04 12:57:04,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.678, max=8.989, mean=-0.2726, std=2.489, absmax=9.678 +2025-11-04 12:57:04,496 ERROR: Encountered non-finite generator loss at iter 17654; skipping update. +2025-11-04 12:57:04,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:04,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=11.13, mean=-0.1145, std=2.705, absmax=11.29 +2025-11-04 12:57:04,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=10.16, mean=-0.08364, std=2.494, absmax=11.52 +2025-11-04 12:57:04,856 ERROR: Encountered non-finite generator loss at iter 17655; skipping update. +2025-11-04 12:57:04,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:04,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:04,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.64, mean=-0.2109, std=2.891, absmax=12.64 +2025-11-04 12:57:04,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=9.225, mean=-0.2195, std=2.669, absmax=10.63 +2025-11-04 12:57:05,216 ERROR: Encountered non-finite generator loss at iter 17656; skipping update. +2025-11-04 12:57:05,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:05,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=18.72, mean=0.1169, std=3.582, absmax=18.72 +2025-11-04 12:57:05,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=17.53, mean=0.1093, std=3.312, absmax=17.53 +2025-11-04 12:57:05,575 ERROR: Encountered non-finite generator loss at iter 17657; skipping update. +2025-11-04 12:57:05,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,577 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:05,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.07, mean=-0.3089, std=3.358, absmax=13.28 +2025-11-04 12:57:05,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.41, mean=-0.3161, std=3.142, absmax=12.72 +2025-11-04 12:57:05,936 ERROR: Encountered non-finite generator loss at iter 17658; skipping update. +2025-11-04 12:57:05,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:05,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:05,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.52, mean=-0.1938, std=3.287, absmax=13.13 +2025-11-04 12:57:05,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=10.83, mean=-0.2203, std=3.084, absmax=12.04 +2025-11-04 12:57:06,296 ERROR: Encountered non-finite generator loss at iter 17659; skipping update. +2025-11-04 12:57:06,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:06,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:06,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:06,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:06,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=10.02, mean=-0.367, std=2.791, absmax=13.86 +2025-11-04 12:57:06,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=8.736, mean=-0.3903, std=2.535, absmax=10.43 +2025-11-04 12:57:06,656 ERROR: Encountered non-finite generator loss at iter 17660; skipping update. +2025-11-04 12:57:06,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:06,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:06,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:06,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:06,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=15.91, mean=-0.1068, std=3.106, absmax=15.91 +2025-11-04 12:57:06,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=13.95, mean=-0.0628, std=2.867, absmax=13.95 +2025-11-04 12:57:07,015 ERROR: Encountered non-finite generator loss at iter 17661; skipping update. +2025-11-04 12:57:07,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:07,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.89, mean=-0.1677, std=2.929, absmax=12.89 +2025-11-04 12:57:07,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=9.508, mean=-0.197, std=2.616, absmax=11.48 +2025-11-04 12:57:07,375 ERROR: Encountered non-finite generator loss at iter 17662; skipping update. +2025-11-04 12:57:07,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:07,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.89, mean=-0.2593, std=3.129, absmax=13.69 +2025-11-04 12:57:07,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.23, mean=-0.2819, std=2.972, absmax=11.89 +2025-11-04 12:57:07,736 ERROR: Encountered non-finite generator loss at iter 17663; skipping update. +2025-11-04 12:57:07,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:07,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:07,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=10.93, mean=-0.2786, std=2.874, absmax=12.82 +2025-11-04 12:57:07,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=10.17, mean=-0.2487, std=2.731, absmax=11.84 +2025-11-04 12:57:08,095 ERROR: Encountered non-finite generator loss at iter 17664; skipping update. +2025-11-04 12:57:08,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:08,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.84, max=12.22, mean=-0.1253, std=2.905, absmax=16.84 +2025-11-04 12:57:08,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.24, max=10.67, mean=-0.1147, std=2.656, absmax=14.24 +2025-11-04 12:57:08,455 ERROR: Encountered non-finite generator loss at iter 17665; skipping update. +2025-11-04 12:57:08,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,456 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:08,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=11.82, mean=-0.3003, std=3.269, absmax=13.84 +2025-11-04 12:57:08,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.23, mean=-0.2502, std=3.01, absmax=11.56 +2025-11-04 12:57:08,814 ERROR: Encountered non-finite generator loss at iter 17666; skipping update. +2025-11-04 12:57:08,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:08,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:08,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.06, mean=-0.333, std=3.689, absmax=13.72 +2025-11-04 12:57:08,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=10.41, mean=-0.2554, std=3.45, absmax=13.72 +2025-11-04 12:57:09,175 ERROR: Encountered non-finite generator loss at iter 17667; skipping update. +2025-11-04 12:57:09,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:09,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=11.8, mean=-0.1529, std=2.725, absmax=14.07 +2025-11-04 12:57:09,177 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.98, max=11.45, mean=-0.1223, std=2.512, absmax=13.98 +2025-11-04 12:57:09,534 ERROR: Encountered non-finite generator loss at iter 17668; skipping update. +2025-11-04 12:57:09,535 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:09,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.24, mean=-0.05749, std=3.278, absmax=13.24 +2025-11-04 12:57:09,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=13.01, mean=-0.04583, std=3.136, absmax=13.01 +2025-11-04 12:57:09,893 ERROR: Encountered non-finite generator loss at iter 17669; skipping update. +2025-11-04 12:57:09,894 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:09,894 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:09,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=16.38, mean=-0.01991, std=3.34, absmax=16.38 +2025-11-04 12:57:09,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=13.96, mean=-0.004272, std=3.017, absmax=13.96 +2025-11-04 12:57:10,252 ERROR: Encountered non-finite generator loss at iter 17670; skipping update. +2025-11-04 12:57:10,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:10,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.18, mean=-0.2509, std=2.612, absmax=13.18 +2025-11-04 12:57:10,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=11.51, mean=-0.2189, std=2.44, absmax=11.64 +2025-11-04 12:57:10,611 ERROR: Encountered non-finite generator loss at iter 17671; skipping update. +2025-11-04 12:57:10,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:10,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=12.14, mean=-0.08377, std=2.947, absmax=12.14 +2025-11-04 12:57:10,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.96, max=11.18, mean=-0.07019, std=2.794, absmax=11.18 +2025-11-04 12:57:10,971 ERROR: Encountered non-finite generator loss at iter 17672; skipping update. +2025-11-04 12:57:10,972 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,972 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:10,972 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:10,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=15.9, mean=-0.239, std=3.282, absmax=15.9 +2025-11-04 12:57:10,974 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=14.02, mean=-0.1955, std=2.988, absmax=14.02 +2025-11-04 12:57:11,331 ERROR: Encountered non-finite generator loss at iter 17673; skipping update. +2025-11-04 12:57:11,331 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:11,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:11,332 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:11,332 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:11,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=15.02, mean=-0.2597, std=3.523, absmax=15.27 +2025-11-04 12:57:11,333 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.45, max=14.08, mean=-0.2345, std=3.23, absmax=14.45 +2025-11-04 12:57:11,690 ERROR: Encountered non-finite generator loss at iter 17674; skipping update. +2025-11-04 12:57:11,691 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:11,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:11,691 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:11,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:11,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=13.21, mean=-0.2095, std=2.518, absmax=13.21 +2025-11-04 12:57:11,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.822, max=11.42, mean=-0.1711, std=2.37, absmax=11.42 +2025-11-04 12:57:12,049 ERROR: Encountered non-finite generator loss at iter 17675; skipping update. +2025-11-04 12:57:12,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,051 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:12,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.39, mean=0.002084, std=2.812, absmax=12.39 +2025-11-04 12:57:12,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.81, mean=0.00892, std=2.67, absmax=11.81 +2025-11-04 12:57:12,410 ERROR: Encountered non-finite generator loss at iter 17676; skipping update. +2025-11-04 12:57:12,411 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,412 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,412 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:12,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.02, mean=-0.1801, std=3.11, absmax=12.95 +2025-11-04 12:57:12,413 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=9.73, mean=-0.1749, std=2.835, absmax=10.56 +2025-11-04 12:57:12,770 ERROR: Encountered non-finite generator loss at iter 17677; skipping update. +2025-11-04 12:57:12,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,771 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:12,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:12,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.48, mean=-0.2916, std=2.891, absmax=14 +2025-11-04 12:57:12,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=10.36, mean=-0.2333, std=2.686, absmax=12.46 +2025-11-04 12:57:13,129 ERROR: Encountered non-finite generator loss at iter 17678; skipping update. +2025-11-04 12:57:13,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,130 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,131 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:13,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=16.16, mean=-0.3042, std=2.822, absmax=16.16 +2025-11-04 12:57:13,132 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=14.42, mean=-0.2379, std=2.695, absmax=14.42 +2025-11-04 12:57:13,488 ERROR: Encountered non-finite generator loss at iter 17679; skipping update. +2025-11-04 12:57:13,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,490 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:13,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.08, mean=-0.0009764, std=2.866, absmax=13.08 +2025-11-04 12:57:13,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=11.04, mean=0.009202, std=2.635, absmax=11.2 +2025-11-04 12:57:13,848 ERROR: Encountered non-finite generator loss at iter 17680; skipping update. +2025-11-04 12:57:13,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:13,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:13,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.43, mean=-0.2498, std=2.548, absmax=12.63 +2025-11-04 12:57:13,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.29, mean=-0.2175, std=2.423, absmax=11.29 +2025-11-04 12:57:14,209 ERROR: Encountered non-finite generator loss at iter 17681; skipping update. +2025-11-04 12:57:14,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,210 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:14,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=19.25, mean=-0.1527, std=3.032, absmax=19.25 +2025-11-04 12:57:14,211 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=18.09, mean=-0.1694, std=2.919, absmax=18.09 +2025-11-04 12:57:14,568 ERROR: Encountered non-finite generator loss at iter 17682; skipping update. +2025-11-04 12:57:14,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,569 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,569 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:14,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.61, mean=-0.3514, std=2.925, absmax=13.5 +2025-11-04 12:57:14,570 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=10.62, mean=-0.2993, std=2.819, absmax=11.62 +2025-11-04 12:57:14,928 ERROR: Encountered non-finite generator loss at iter 17683; skipping update. +2025-11-04 12:57:14,928 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:14,929 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:14,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=10.94, mean=-0.2561, std=2.836, absmax=12.27 +2025-11-04 12:57:14,930 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=9.824, mean=-0.2357, std=2.572, absmax=11.3 +2025-11-04 12:57:15,287 ERROR: Encountered non-finite generator loss at iter 17684; skipping update. +2025-11-04 12:57:15,288 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:15,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:15,289 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:15,289 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:15,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.68, mean=-0.2144, std=3.193, absmax=12.68 +2025-11-04 12:57:15,291 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.19, mean=-0.2378, std=2.981, absmax=12.3 +2025-11-04 12:57:15,648 ERROR: Encountered non-finite generator loss at iter 17685; skipping update. +2025-11-04 12:57:15,648 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:15,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:15,649 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:15,649 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:15,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.06, mean=-0.09433, std=3.237, absmax=13.78 +2025-11-04 12:57:15,650 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=10.32, mean=-0.09734, std=2.961, absmax=12.15 +2025-11-04 12:57:16,007 ERROR: Encountered non-finite generator loss at iter 17686; skipping update. +2025-11-04 12:57:16,008 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,008 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,009 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:16,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=11.18, mean=-0.1686, std=2.816, absmax=11.9 +2025-11-04 12:57:16,010 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.13, mean=-0.1941, std=2.617, absmax=11.69 +2025-11-04 12:57:16,367 ERROR: Encountered non-finite generator loss at iter 17687; skipping update. +2025-11-04 12:57:16,368 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,369 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,369 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:16,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.95, mean=-0.03467, std=3.233, absmax=13.03 +2025-11-04 12:57:16,370 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.24, mean=-0.06931, std=2.898, absmax=12.3 +2025-11-04 12:57:16,727 ERROR: Encountered non-finite generator loss at iter 17688; skipping update. +2025-11-04 12:57:16,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:16,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:16,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.44, mean=-0.02707, std=3.126, absmax=13.73 +2025-11-04 12:57:16,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.34, mean=-0.03189, std=2.86, absmax=11.82 +2025-11-04 12:57:17,088 ERROR: Encountered non-finite generator loss at iter 17689; skipping update. +2025-11-04 12:57:17,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:17,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=17.1, mean=-0.1463, std=3.074, absmax=17.1 +2025-11-04 12:57:17,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=16.62, mean=-0.1179, std=2.824, absmax=16.62 +2025-11-04 12:57:17,447 ERROR: Encountered non-finite generator loss at iter 17690; skipping update. +2025-11-04 12:57:17,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,450 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:17,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.88, mean=0.005716, std=3.155, absmax=13.88 +2025-11-04 12:57:17,451 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=12.59, mean=0.004188, std=2.872, absmax=12.59 +2025-11-04 12:57:17,808 ERROR: Encountered non-finite generator loss at iter 17691; skipping update. +2025-11-04 12:57:17,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:17,810 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:17,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.68, mean=0.109, std=3.287, absmax=14.26 +2025-11-04 12:57:17,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=13.35, mean=0.1063, std=3.113, absmax=13.46 +2025-11-04 12:57:18,168 ERROR: Encountered non-finite generator loss at iter 17692; skipping update. +2025-11-04 12:57:18,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:18,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=14.6, mean=0.05354, std=3.077, absmax=14.6 +2025-11-04 12:57:18,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.1, max=13.47, mean=0.07668, std=2.891, absmax=13.47 +2025-11-04 12:57:18,528 ERROR: Encountered non-finite generator loss at iter 17693; skipping update. +2025-11-04 12:57:18,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,529 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:18,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.92, mean=-0.1373, std=3.119, absmax=13.42 +2025-11-04 12:57:18,531 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.77, mean=-0.1294, std=2.927, absmax=12.77 +2025-11-04 12:57:18,888 ERROR: Encountered non-finite generator loss at iter 17694; skipping update. +2025-11-04 12:57:18,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:18,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:18,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.07, mean=-0.05935, std=2.846, absmax=12.07 +2025-11-04 12:57:18,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=10.34, mean=-0.04012, std=2.568, absmax=11.24 +2025-11-04 12:57:19,248 ERROR: Encountered non-finite generator loss at iter 17695; skipping update. +2025-11-04 12:57:19,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,249 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:19,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=12.18, mean=-0.3613, std=2.787, absmax=14.68 +2025-11-04 12:57:19,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=9.84, mean=-0.3495, std=2.559, absmax=10.78 +2025-11-04 12:57:19,608 ERROR: Encountered non-finite generator loss at iter 17696; skipping update. +2025-11-04 12:57:19,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,609 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,609 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:19,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.53, mean=-0.2295, std=2.442, absmax=12.73 +2025-11-04 12:57:19,610 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=9.919, mean=-0.2083, std=2.264, absmax=10.89 +2025-11-04 12:57:19,967 ERROR: Encountered non-finite generator loss at iter 17697; skipping update. +2025-11-04 12:57:19,968 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,969 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:19,969 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:19,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=14.2, mean=-0.1543, std=2.88, absmax=14.2 +2025-11-04 12:57:19,970 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.02, mean=-0.1691, std=2.647, absmax=13.02 +2025-11-04 12:57:20,327 ERROR: Encountered non-finite generator loss at iter 17698; skipping update. +2025-11-04 12:57:20,328 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:20,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:20,328 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:20,329 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:20,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=10.93, mean=-0.1797, std=2.57, absmax=11.81 +2025-11-04 12:57:20,330 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=8.762, mean=-0.1577, std=2.37, absmax=10.95 +2025-11-04 12:57:20,687 ERROR: Encountered non-finite generator loss at iter 17699; skipping update. +2025-11-04 12:57:20,687 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:20,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:20,688 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:20,688 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:20,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.12, mean=-0.02991, std=3.247, absmax=14.12 +2025-11-04 12:57:20,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=11.66, mean=-0.02477, std=2.949, absmax=11.66 +2025-11-04 12:57:21,046 ERROR: Encountered non-finite generator loss at iter 17700; skipping update. +2025-11-04 12:57:21,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:21,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=12.33, mean=-0.1487, std=3.096, absmax=13.96 +2025-11-04 12:57:21,048 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=10.33, mean=-0.1245, std=2.848, absmax=11.63 +2025-11-04 12:57:21,049 INFO: [38..][epoch: 0, step: 17,700, lr:(2.000e-04,)] [eta: 1 day, 12:10:49, time (data): 0.360 (0.000)] +2025-11-04 12:57:21,405 ERROR: Encountered non-finite generator loss at iter 17701; skipping update. +2025-11-04 12:57:21,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,406 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:21,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.84, max=13.55, mean=-0.04898, std=3.068, absmax=18.84 +2025-11-04 12:57:21,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.48, max=12.23, mean=-0.06147, std=2.869, absmax=16.48 +2025-11-04 12:57:21,764 ERROR: Encountered non-finite generator loss at iter 17702; skipping update. +2025-11-04 12:57:21,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:21,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:21,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.26, mean=-0.2989, std=2.374, absmax=13.26 +2025-11-04 12:57:21,767 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.87, mean=-0.3097, std=2.311, absmax=11.87 +2025-11-04 12:57:22,123 ERROR: Encountered non-finite generator loss at iter 17703; skipping update. +2025-11-04 12:57:22,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:22,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=12.54, mean=-0.3576, std=3.235, absmax=14.41 +2025-11-04 12:57:22,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.93, max=12.19, mean=-0.2819, std=3.055, absmax=13.93 +2025-11-04 12:57:22,483 ERROR: Encountered non-finite generator loss at iter 17704; skipping update. +2025-11-04 12:57:22,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:22,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13, mean=-0.08805, std=2.846, absmax=13.49 +2025-11-04 12:57:22,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=10.81, mean=-0.07385, std=2.571, absmax=12.84 +2025-11-04 12:57:22,842 ERROR: Encountered non-finite generator loss at iter 17705; skipping update. +2025-11-04 12:57:22,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:22,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:22,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=10.24, mean=-0.2892, std=2.589, absmax=11.73 +2025-11-04 12:57:22,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=10.01, mean=-0.2685, std=2.478, absmax=10.21 +2025-11-04 12:57:23,201 ERROR: Encountered non-finite generator loss at iter 17706; skipping update. +2025-11-04 12:57:23,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:23,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=15.79, mean=-0.1208, std=3.194, absmax=15.79 +2025-11-04 12:57:23,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=15.16, mean=-0.08298, std=2.989, absmax=15.16 +2025-11-04 12:57:23,559 ERROR: Encountered non-finite generator loss at iter 17707; skipping update. +2025-11-04 12:57:23,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:23,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=13.88, mean=-0.02846, std=2.856, absmax=13.88 +2025-11-04 12:57:23,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.09, mean=-0.04423, std=2.718, absmax=12.09 +2025-11-04 12:57:23,917 ERROR: Encountered non-finite generator loss at iter 17708; skipping update. +2025-11-04 12:57:23,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:23,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:23,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.35, mean=-0.03169, std=3.16, absmax=13.26 +2025-11-04 12:57:23,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.83, mean=-0.01935, std=2.95, absmax=11.83 +2025-11-04 12:57:24,275 ERROR: Encountered non-finite generator loss at iter 17709; skipping update. +2025-11-04 12:57:24,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:24,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.32, mean=-0.1652, std=3.126, absmax=13.84 +2025-11-04 12:57:24,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=11.77, mean=-0.1468, std=2.875, absmax=12.27 +2025-11-04 12:57:24,634 ERROR: Encountered non-finite generator loss at iter 17710; skipping update. +2025-11-04 12:57:24,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,635 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:24,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.79, mean=-0.1362, std=3.024, absmax=12.79 +2025-11-04 12:57:24,636 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.1, mean=-0.1074, std=2.853, absmax=11.1 +2025-11-04 12:57:24,993 ERROR: Encountered non-finite generator loss at iter 17711; skipping update. +2025-11-04 12:57:24,994 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:24,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:24,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.07, max=12.59, mean=-0.07833, std=3.158, absmax=16.07 +2025-11-04 12:57:24,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.9, mean=-0.06294, std=2.823, absmax=11.95 +2025-11-04 12:57:25,352 ERROR: Encountered non-finite generator loss at iter 17712; skipping update. +2025-11-04 12:57:25,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:25,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:25,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:25,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:25,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=14.32, mean=-0.08271, std=2.875, absmax=14.32 +2025-11-04 12:57:25,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=12.77, mean=-0.09067, std=2.594, absmax=12.77 +2025-11-04 12:57:25,713 ERROR: Encountered non-finite generator loss at iter 17713; skipping update. +2025-11-04 12:57:25,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:25,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:25,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:25,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:25,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.11, max=11.59, mean=-0.2196, std=2.787, absmax=17.11 +2025-11-04 12:57:25,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.55, max=11.87, mean=-0.2204, std=2.696, absmax=14.55 +2025-11-04 12:57:26,072 ERROR: Encountered non-finite generator loss at iter 17714; skipping update. +2025-11-04 12:57:26,073 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,073 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,074 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:26,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.85, mean=-0.08353, std=2.917, absmax=12.85 +2025-11-04 12:57:26,075 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=10.88, mean=-0.1344, std=2.791, absmax=11.41 +2025-11-04 12:57:26,432 ERROR: Encountered non-finite generator loss at iter 17715; skipping update. +2025-11-04 12:57:26,433 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:26,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.16, mean=-0.2647, std=2.953, absmax=13.16 +2025-11-04 12:57:26,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=11.56, mean=-0.3112, std=2.803, absmax=11.78 +2025-11-04 12:57:26,792 ERROR: Encountered non-finite generator loss at iter 17716; skipping update. +2025-11-04 12:57:26,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:26,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:26,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=16.97, mean=-0.04735, std=3.278, absmax=16.97 +2025-11-04 12:57:26,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=16.14, mean=-0.05935, std=2.96, absmax=16.14 +2025-11-04 12:57:27,153 ERROR: Encountered non-finite generator loss at iter 17717; skipping update. +2025-11-04 12:57:27,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:27,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=14.98, mean=0.1363, std=3.824, absmax=14.98 +2025-11-04 12:57:27,156 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=15.82, mean=0.1219, std=3.56, absmax=15.82 +2025-11-04 12:57:27,512 ERROR: Encountered non-finite generator loss at iter 17718; skipping update. +2025-11-04 12:57:27,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:27,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.28, mean=-0.1219, std=3.032, absmax=13.58 +2025-11-04 12:57:27,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=11.89, mean=-0.1206, std=2.916, absmax=11.89 +2025-11-04 12:57:27,873 ERROR: Encountered non-finite generator loss at iter 17719; skipping update. +2025-11-04 12:57:27,874 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:27,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:27,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.81, mean=-0.2245, std=2.928, absmax=13.02 +2025-11-04 12:57:27,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=10.2, mean=-0.2021, std=2.82, absmax=11.4 +2025-11-04 12:57:28,233 ERROR: Encountered non-finite generator loss at iter 17720; skipping update. +2025-11-04 12:57:28,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:28,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.31, mean=-0.08764, std=2.875, absmax=13.31 +2025-11-04 12:57:28,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.9, mean=-0.08263, std=2.784, absmax=12.9 +2025-11-04 12:57:28,593 ERROR: Encountered non-finite generator loss at iter 17721; skipping update. +2025-11-04 12:57:28,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,596 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:28,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=10.7, mean=-0.2758, std=2.59, absmax=11.53 +2025-11-04 12:57:28,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=10.46, mean=-0.2757, std=2.349, absmax=11.06 +2025-11-04 12:57:28,954 ERROR: Encountered non-finite generator loss at iter 17722; skipping update. +2025-11-04 12:57:28,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:28,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:28,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.83, mean=-0.07693, std=3.16, absmax=13.83 +2025-11-04 12:57:28,957 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=11.92, mean=-0.05138, std=2.891, absmax=12.08 +2025-11-04 12:57:29,314 ERROR: Encountered non-finite generator loss at iter 17723; skipping update. +2025-11-04 12:57:29,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:29,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:29,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:29,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:29,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.97, mean=-0.1547, std=2.571, absmax=12.97 +2025-11-04 12:57:29,317 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=12.32, mean=-0.1255, std=2.439, absmax=12.45 +2025-11-04 12:57:29,675 ERROR: Encountered non-finite generator loss at iter 17724; skipping update. +2025-11-04 12:57:29,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:29,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:29,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:29,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:29,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=15.22, mean=-0.01203, std=3.128, absmax=15.22 +2025-11-04 12:57:29,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=13.96, mean=-0.005152, std=2.979, absmax=13.96 +2025-11-04 12:57:30,035 ERROR: Encountered non-finite generator loss at iter 17725; skipping update. +2025-11-04 12:57:30,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:30,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.61, max=16.22, mean=-0.1009, std=3.667, absmax=16.22 +2025-11-04 12:57:30,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.72, max=17.92, mean=-0.1123, std=3.394, absmax=17.92 +2025-11-04 12:57:30,396 ERROR: Encountered non-finite generator loss at iter 17726; skipping update. +2025-11-04 12:57:30,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:30,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.66, mean=-0.266, std=2.937, absmax=13.04 +2025-11-04 12:57:30,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=9.956, mean=-0.2921, std=2.826, absmax=11.99 +2025-11-04 12:57:30,756 ERROR: Encountered non-finite generator loss at iter 17727; skipping update. +2025-11-04 12:57:30,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:30,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:30,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.06, mean=-0.1868, std=2.543, absmax=12.38 +2025-11-04 12:57:30,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.34, mean=-0.2213, std=2.408, absmax=11.39 +2025-11-04 12:57:31,116 ERROR: Encountered non-finite generator loss at iter 17728; skipping update. +2025-11-04 12:57:31,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:31,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=16.55, mean=-0.1927, std=2.768, absmax=16.55 +2025-11-04 12:57:31,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=14.95, mean=-0.1978, std=2.471, absmax=14.95 +2025-11-04 12:57:31,476 ERROR: Encountered non-finite generator loss at iter 17729; skipping update. +2025-11-04 12:57:31,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:31,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.7, mean=-0.09297, std=3.034, absmax=13.32 +2025-11-04 12:57:31,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=10.81, mean=-0.1063, std=2.823, absmax=12.26 +2025-11-04 12:57:31,836 ERROR: Encountered non-finite generator loss at iter 17730; skipping update. +2025-11-04 12:57:31,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:31,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:31,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=11.73, mean=-0.2231, std=2.736, absmax=15.32 +2025-11-04 12:57:31,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=10.75, mean=-0.1706, std=2.56, absmax=11.23 +2025-11-04 12:57:32,195 ERROR: Encountered non-finite generator loss at iter 17731; skipping update. +2025-11-04 12:57:32,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:32,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.91, mean=-0.1461, std=2.906, absmax=13.91 +2025-11-04 12:57:32,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=10.29, mean=-0.1274, std=2.584, absmax=11.3 +2025-11-04 12:57:32,556 ERROR: Encountered non-finite generator loss at iter 17732; skipping update. +2025-11-04 12:57:32,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:32,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=13.5, mean=-0.296, std=3.12, absmax=13.5 +2025-11-04 12:57:32,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.93, mean=-0.2695, std=2.877, absmax=12.93 +2025-11-04 12:57:32,916 ERROR: Encountered non-finite generator loss at iter 17733; skipping update. +2025-11-04 12:57:32,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:32,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:32,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=12.03, mean=-0.08592, std=2.812, absmax=12.03 +2025-11-04 12:57:32,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.193, max=10.71, mean=-0.07887, std=2.6, absmax=10.71 +2025-11-04 12:57:33,275 ERROR: Encountered non-finite generator loss at iter 17734; skipping update. +2025-11-04 12:57:33,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:33,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.15, mean=-0.09614, std=2.899, absmax=13.04 +2025-11-04 12:57:33,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.12, mean=-0.1087, std=2.678, absmax=11.89 +2025-11-04 12:57:33,636 ERROR: Encountered non-finite generator loss at iter 17735; skipping update. +2025-11-04 12:57:33,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:33,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.5, mean=0.02051, std=3.307, absmax=14.5 +2025-11-04 12:57:33,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=13.54, mean=0.01416, std=3.158, absmax=13.54 +2025-11-04 12:57:33,995 ERROR: Encountered non-finite generator loss at iter 17736; skipping update. +2025-11-04 12:57:33,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:33,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:33,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.55, mean=-0.1024, std=2.843, absmax=13.05 +2025-11-04 12:57:33,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=11.63, mean=-0.1071, std=2.602, absmax=11.63 +2025-11-04 12:57:34,356 ERROR: Encountered non-finite generator loss at iter 17737; skipping update. +2025-11-04 12:57:34,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:34,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:34,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:34,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:34,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.02, mean=-0.05405, std=3.263, absmax=14.02 +2025-11-04 12:57:34,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=12.98, mean=-0.03047, std=3.059, absmax=13.49 +2025-11-04 12:57:34,716 ERROR: Encountered non-finite generator loss at iter 17738; skipping update. +2025-11-04 12:57:34,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:34,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:34,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:34,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:34,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.01, mean=-0.1183, std=3.028, absmax=12.12 +2025-11-04 12:57:34,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=10.64, mean=-0.1633, std=2.932, absmax=11.56 +2025-11-04 12:57:35,076 ERROR: Encountered non-finite generator loss at iter 17739; skipping update. +2025-11-04 12:57:35,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:35,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=15.19, mean=-0.06114, std=3.804, absmax=15.19 +2025-11-04 12:57:35,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=15.09, mean=-0.007962, std=3.725, absmax=15.09 +2025-11-04 12:57:35,436 ERROR: Encountered non-finite generator loss at iter 17740; skipping update. +2025-11-04 12:57:35,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:35,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.27, mean=-0.3216, std=2.931, absmax=13.64 +2025-11-04 12:57:35,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=12.13, mean=-0.2679, std=2.755, absmax=12.18 +2025-11-04 12:57:35,796 ERROR: Encountered non-finite generator loss at iter 17741; skipping update. +2025-11-04 12:57:35,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:35,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:35,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.13, mean=-0.149, std=3.19, absmax=12.24 +2025-11-04 12:57:35,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.48, mean=-0.134, std=2.856, absmax=11.77 +2025-11-04 12:57:36,155 ERROR: Encountered non-finite generator loss at iter 17742; skipping update. +2025-11-04 12:57:36,156 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:36,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=19.16, mean=0.06383, std=3.069, absmax=19.16 +2025-11-04 12:57:36,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=17.81, mean=0.06477, std=2.921, absmax=17.81 +2025-11-04 12:57:36,516 ERROR: Encountered non-finite generator loss at iter 17743; skipping update. +2025-11-04 12:57:36,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:36,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=14.56, mean=-0.1017, std=3.376, absmax=14.56 +2025-11-04 12:57:36,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=12.64, mean=-0.06432, std=3.17, absmax=13.3 +2025-11-04 12:57:36,876 ERROR: Encountered non-finite generator loss at iter 17744; skipping update. +2025-11-04 12:57:36,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:36,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:36,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=16.74, mean=-0.1846, std=3.144, absmax=16.74 +2025-11-04 12:57:36,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.77, mean=-0.179, std=2.822, absmax=12.77 +2025-11-04 12:57:37,236 ERROR: Encountered non-finite generator loss at iter 17745; skipping update. +2025-11-04 12:57:37,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:37,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.45, mean=-0.2841, std=2.818, absmax=11.75 +2025-11-04 12:57:37,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=10.65, mean=-0.2302, std=2.643, absmax=10.7 +2025-11-04 12:57:37,596 ERROR: Encountered non-finite generator loss at iter 17746; skipping update. +2025-11-04 12:57:37,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:37,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=11.58, mean=-0.1759, std=2.648, absmax=13.54 +2025-11-04 12:57:37,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.39, mean=-0.1591, std=2.466, absmax=11.37 +2025-11-04 12:57:37,955 ERROR: Encountered non-finite generator loss at iter 17747; skipping update. +2025-11-04 12:57:37,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:37,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:37,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=12.04, mean=-0.2743, std=2.867, absmax=13.93 +2025-11-04 12:57:37,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.23, mean=-0.2376, std=2.722, absmax=11.55 +2025-11-04 12:57:38,316 ERROR: Encountered non-finite generator loss at iter 17748; skipping update. +2025-11-04 12:57:38,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:38,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:38,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:38,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:38,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=14.55, mean=-0.06868, std=2.702, absmax=14.55 +2025-11-04 12:57:38,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=14.25, mean=-0.1015, std=2.567, absmax=14.25 +2025-11-04 12:57:38,675 ERROR: Encountered non-finite generator loss at iter 17749; skipping update. +2025-11-04 12:57:38,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:38,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:38,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:38,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:38,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=15, mean=0.2314, std=3.624, absmax=15 +2025-11-04 12:57:38,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=12.94, mean=0.2082, std=3.328, absmax=12.94 +2025-11-04 12:57:39,035 ERROR: Encountered non-finite generator loss at iter 17750; skipping update. +2025-11-04 12:57:39,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:39,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=10.21, mean=-0.2859, std=2.697, absmax=12.37 +2025-11-04 12:57:39,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=10.06, mean=-0.2502, std=2.51, absmax=10.8 +2025-11-04 12:57:39,395 ERROR: Encountered non-finite generator loss at iter 17751; skipping update. +2025-11-04 12:57:39,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:39,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13, mean=-0.2887, std=3.056, absmax=13 +2025-11-04 12:57:39,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=11.29, mean=-0.3514, std=2.949, absmax=12.2 +2025-11-04 12:57:39,755 ERROR: Encountered non-finite generator loss at iter 17752; skipping update. +2025-11-04 12:57:39,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:39,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:39,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=13.18, mean=-0.18, std=2.837, absmax=13.18 +2025-11-04 12:57:39,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=12.5, mean=-0.1546, std=2.656, absmax=12.5 +2025-11-04 12:57:40,116 ERROR: Encountered non-finite generator loss at iter 17753; skipping update. +2025-11-04 12:57:40,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:40,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=13.77, mean=-0.09399, std=3.641, absmax=14.41 +2025-11-04 12:57:40,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.52, max=12.67, mean=-0.09146, std=3.355, absmax=14.52 +2025-11-04 12:57:40,476 ERROR: Encountered non-finite generator loss at iter 17754; skipping update. +2025-11-04 12:57:40,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:40,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.48, mean=-0.06358, std=3.004, absmax=13.48 +2025-11-04 12:57:40,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=10.67, mean=-0.08336, std=2.729, absmax=11.93 +2025-11-04 12:57:40,836 ERROR: Encountered non-finite generator loss at iter 17755; skipping update. +2025-11-04 12:57:40,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:40,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:40,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.25, mean=-0.2028, std=2.899, absmax=15.25 +2025-11-04 12:57:40,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=14.03, mean=-0.2389, std=2.669, absmax=14.03 +2025-11-04 12:57:41,196 ERROR: Encountered non-finite generator loss at iter 17756; skipping update. +2025-11-04 12:57:41,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:41,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=15.25, mean=-0.1606, std=3.058, absmax=15.25 +2025-11-04 12:57:41,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=14.07, mean=-0.1377, std=2.834, absmax=14.07 +2025-11-04 12:57:41,556 ERROR: Encountered non-finite generator loss at iter 17757; skipping update. +2025-11-04 12:57:41,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:41,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.46, mean=0.08344, std=3.23, absmax=14.46 +2025-11-04 12:57:41,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=13.65, mean=0.07201, std=3.061, absmax=13.65 +2025-11-04 12:57:41,916 ERROR: Encountered non-finite generator loss at iter 17758; skipping update. +2025-11-04 12:57:41,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:41,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:41,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.12, mean=-0.3895, std=2.912, absmax=14.12 +2025-11-04 12:57:41,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=11.82, mean=-0.3749, std=2.745, absmax=11.82 +2025-11-04 12:57:42,276 ERROR: Encountered non-finite generator loss at iter 17759; skipping update. +2025-11-04 12:57:42,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:42,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.4, mean=-0.2597, std=3.113, absmax=15.4 +2025-11-04 12:57:42,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=12.88, mean=-0.2672, std=2.866, absmax=12.88 +2025-11-04 12:57:42,636 ERROR: Encountered non-finite generator loss at iter 17760; skipping update. +2025-11-04 12:57:42,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:42,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.88, mean=-0.359, std=3.076, absmax=12.56 +2025-11-04 12:57:42,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.74, mean=-0.3228, std=2.904, absmax=11.59 +2025-11-04 12:57:42,996 ERROR: Encountered non-finite generator loss at iter 17761; skipping update. +2025-11-04 12:57:42,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:42,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:42,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=15.19, mean=-0.1411, std=3.032, absmax=15.19 +2025-11-04 12:57:42,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.32, mean=-0.127, std=2.834, absmax=11.6 +2025-11-04 12:57:43,356 ERROR: Encountered non-finite generator loss at iter 17762; skipping update. +2025-11-04 12:57:43,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:43,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:43,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:43,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:43,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=10.97, mean=-0.1336, std=2.507, absmax=11.71 +2025-11-04 12:57:43,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=9.134, mean=-0.134, std=2.406, absmax=10.99 +2025-11-04 12:57:43,716 ERROR: Encountered non-finite generator loss at iter 17763; skipping update. +2025-11-04 12:57:43,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:43,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:43,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:43,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:43,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.95, mean=-0.2059, std=2.738, absmax=13.95 +2025-11-04 12:57:43,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=12.28, mean=-0.1789, std=2.549, absmax=12.28 +2025-11-04 12:57:44,076 ERROR: Encountered non-finite generator loss at iter 17764; skipping update. +2025-11-04 12:57:44,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:44,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=15.81, mean=0.1343, std=3.135, absmax=15.81 +2025-11-04 12:57:44,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.642, max=12.74, mean=0.181, std=2.986, absmax=12.74 +2025-11-04 12:57:44,436 ERROR: Encountered non-finite generator loss at iter 17765; skipping update. +2025-11-04 12:57:44,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:44,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=10.8, mean=-0.2674, std=2.898, absmax=12.1 +2025-11-04 12:57:44,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=10.34, mean=-0.233, std=2.655, absmax=11.47 +2025-11-04 12:57:44,796 ERROR: Encountered non-finite generator loss at iter 17766; skipping update. +2025-11-04 12:57:44,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:44,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:44,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=11.3, mean=-0.2076, std=3.322, absmax=14.4 +2025-11-04 12:57:44,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.29, max=10.78, mean=-0.2269, std=3.07, absmax=14.29 +2025-11-04 12:57:45,156 ERROR: Encountered non-finite generator loss at iter 17767; skipping update. +2025-11-04 12:57:45,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:45,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.09, mean=-0.1938, std=2.727, absmax=13.09 +2025-11-04 12:57:45,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.96, mean=-0.1948, std=2.487, absmax=11.34 +2025-11-04 12:57:45,516 ERROR: Encountered non-finite generator loss at iter 17768; skipping update. +2025-11-04 12:57:45,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:45,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=15.33, mean=-0.03605, std=3.291, absmax=15.33 +2025-11-04 12:57:45,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=13.96, mean=-0.007421, std=3.066, absmax=13.96 +2025-11-04 12:57:45,876 ERROR: Encountered non-finite generator loss at iter 17769; skipping update. +2025-11-04 12:57:45,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:45,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:45,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.69, mean=-0.2059, std=3.397, absmax=14.34 +2025-11-04 12:57:45,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=11.82, mean=-0.2029, std=3.203, absmax=12.84 +2025-11-04 12:57:46,236 ERROR: Encountered non-finite generator loss at iter 17770; skipping update. +2025-11-04 12:57:46,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:46,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=15.09, mean=0.1039, std=3.507, absmax=15.09 +2025-11-04 12:57:46,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.1, max=14.47, mean=0.1313, std=3.33, absmax=14.47 +2025-11-04 12:57:46,595 ERROR: Encountered non-finite generator loss at iter 17771; skipping update. +2025-11-04 12:57:46,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:46,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=12.51, mean=-0.1025, std=3.178, absmax=14.74 +2025-11-04 12:57:46,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=10.72, mean=-0.05912, std=2.946, absmax=12.6 +2025-11-04 12:57:46,956 ERROR: Encountered non-finite generator loss at iter 17772; skipping update. +2025-11-04 12:57:46,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:46,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:46,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=9.952, mean=-0.2139, std=2.792, absmax=13.01 +2025-11-04 12:57:46,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=9.104, mean=-0.1884, std=2.604, absmax=11.54 +2025-11-04 12:57:47,316 ERROR: Encountered non-finite generator loss at iter 17773; skipping update. +2025-11-04 12:57:47,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:47,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:47,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:47,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:47,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.41, mean=-0.02573, std=2.954, absmax=13.41 +2025-11-04 12:57:47,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=12.1, mean=0.01608, std=2.729, absmax=12.1 +2025-11-04 12:57:47,675 ERROR: Encountered non-finite generator loss at iter 17774; skipping update. +2025-11-04 12:57:47,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:47,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:47,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:47,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:47,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=15.08, mean=-0.09072, std=3.232, absmax=15.08 +2025-11-04 12:57:47,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=13.77, mean=-0.08465, std=2.978, absmax=13.77 +2025-11-04 12:57:48,035 ERROR: Encountered non-finite generator loss at iter 17775; skipping update. +2025-11-04 12:57:48,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:48,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.52, max=18.59, mean=0.01056, std=3.203, absmax=18.59 +2025-11-04 12:57:48,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=17.04, mean=0.0237, std=2.901, absmax=17.04 +2025-11-04 12:57:48,395 ERROR: Encountered non-finite generator loss at iter 17776; skipping update. +2025-11-04 12:57:48,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:48,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=18.27, mean=-0.02576, std=3.351, absmax=18.27 +2025-11-04 12:57:48,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=12.31, mean=-0.01426, std=3.204, absmax=12.31 +2025-11-04 12:57:48,755 ERROR: Encountered non-finite generator loss at iter 17777; skipping update. +2025-11-04 12:57:48,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:48,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:48,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.16, max=14.84, mean=0.188, std=3.722, absmax=16.16 +2025-11-04 12:57:48,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=12.26, mean=0.1351, std=3.387, absmax=13.49 +2025-11-04 12:57:49,115 ERROR: Encountered non-finite generator loss at iter 17778; skipping update. +2025-11-04 12:57:49,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:49,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=11.03, mean=-0.2475, std=3.107, absmax=14.24 +2025-11-04 12:57:49,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=9.338, mean=-0.265, std=2.839, absmax=12.2 +2025-11-04 12:57:49,474 ERROR: Encountered non-finite generator loss at iter 17779; skipping update. +2025-11-04 12:57:49,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,476 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:49,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.36, mean=-0.1292, std=2.913, absmax=14.36 +2025-11-04 12:57:49,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=10.15, mean=-0.1143, std=2.624, absmax=10.48 +2025-11-04 12:57:49,834 ERROR: Encountered non-finite generator loss at iter 17780; skipping update. +2025-11-04 12:57:49,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,836 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:49,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:49,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=14.34, mean=-0.05854, std=2.92, absmax=14.82 +2025-11-04 12:57:49,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.14, max=12.54, mean=-0.07916, std=2.645, absmax=13.14 +2025-11-04 12:57:50,195 ERROR: Encountered non-finite generator loss at iter 17781; skipping update. +2025-11-04 12:57:50,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:50,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=11.86, mean=-0.2005, std=3.003, absmax=14.51 +2025-11-04 12:57:50,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=12.2, mean=-0.1963, std=2.745, absmax=13.49 +2025-11-04 12:57:50,554 ERROR: Encountered non-finite generator loss at iter 17782; skipping update. +2025-11-04 12:57:50,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:50,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.93, mean=-0.201, std=2.47, absmax=12.27 +2025-11-04 12:57:50,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=11.62, mean=-0.1813, std=2.288, absmax=11.62 +2025-11-04 12:57:50,915 ERROR: Encountered non-finite generator loss at iter 17783; skipping update. +2025-11-04 12:57:50,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:50,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:50,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.43, mean=0.006838, std=2.861, absmax=13.43 +2025-11-04 12:57:50,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.17, mean=-0.007754, std=2.615, absmax=11.34 +2025-11-04 12:57:51,276 ERROR: Encountered non-finite generator loss at iter 17784; skipping update. +2025-11-04 12:57:51,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:51,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.67, mean=-0.2239, std=2.737, absmax=14.67 +2025-11-04 12:57:51,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=13.29, mean=-0.2029, std=2.489, absmax=13.29 +2025-11-04 12:57:51,636 ERROR: Encountered non-finite generator loss at iter 17785; skipping update. +2025-11-04 12:57:51,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:51,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.99, mean=-0.2507, std=2.965, absmax=12.99 +2025-11-04 12:57:51,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=10.4, mean=-0.2148, std=2.83, absmax=12.91 +2025-11-04 12:57:51,996 ERROR: Encountered non-finite generator loss at iter 17786; skipping update. +2025-11-04 12:57:51,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:51,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:51,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=12.82, mean=-0.162, std=2.509, absmax=12.82 +2025-11-04 12:57:51,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=11.97, mean=-0.1575, std=2.426, absmax=11.97 +2025-11-04 12:57:52,355 ERROR: Encountered non-finite generator loss at iter 17787; skipping update. +2025-11-04 12:57:52,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:52,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:52,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:52,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:52,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=15.68, mean=-0.05398, std=2.964, absmax=15.68 +2025-11-04 12:57:52,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=14.32, mean=-0.08108, std=2.832, absmax=14.32 +2025-11-04 12:57:52,716 ERROR: Encountered non-finite generator loss at iter 17788; skipping update. +2025-11-04 12:57:52,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:52,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:52,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:52,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:52,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.39, mean=-0.1675, std=2.909, absmax=14.19 +2025-11-04 12:57:52,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=12.29, mean=-0.2266, std=2.741, absmax=13.05 +2025-11-04 12:57:53,075 ERROR: Encountered non-finite generator loss at iter 17789; skipping update. +2025-11-04 12:57:53,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:53,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=16.8, mean=-0.1983, std=2.901, absmax=16.8 +2025-11-04 12:57:53,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=14.79, mean=-0.2016, std=2.778, absmax=14.79 +2025-11-04 12:57:53,436 ERROR: Encountered non-finite generator loss at iter 17790; skipping update. +2025-11-04 12:57:53,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:53,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.07, max=16.43, mean=0.04212, std=3.65, absmax=17.07 +2025-11-04 12:57:53,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=15.6, mean=0.007586, std=3.42, absmax=15.6 +2025-11-04 12:57:53,798 ERROR: Encountered non-finite generator loss at iter 17791; skipping update. +2025-11-04 12:57:53,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:53,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:53,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.99, mean=-0.01808, std=3.093, absmax=13.6 +2025-11-04 12:57:53,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=11.43, mean=-0.06223, std=2.774, absmax=11.43 +2025-11-04 12:57:54,159 ERROR: Encountered non-finite generator loss at iter 17792; skipping update. +2025-11-04 12:57:54,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:54,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.1, mean=-0.1556, std=2.905, absmax=14.1 +2025-11-04 12:57:54,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=12.14, mean=-0.1083, std=2.787, absmax=12.14 +2025-11-04 12:57:54,519 ERROR: Encountered non-finite generator loss at iter 17793; skipping update. +2025-11-04 12:57:54,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:54,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=10.79, mean=-0.288, std=2.512, absmax=10.92 +2025-11-04 12:57:54,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=9.898, mean=-0.2364, std=2.441, absmax=10.23 +2025-11-04 12:57:54,879 ERROR: Encountered non-finite generator loss at iter 17794; skipping update. +2025-11-04 12:57:54,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:54,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:54,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=11.65, mean=-0.3217, std=2.699, absmax=13.31 +2025-11-04 12:57:54,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.88, mean=-0.3123, std=2.574, absmax=11.96 +2025-11-04 12:57:55,240 ERROR: Encountered non-finite generator loss at iter 17795; skipping update. +2025-11-04 12:57:55,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:55,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=11.98, mean=-0.07405, std=2.758, absmax=11.98 +2025-11-04 12:57:55,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.7, mean=-0.06627, std=2.508, absmax=10.71 +2025-11-04 12:57:55,599 ERROR: Encountered non-finite generator loss at iter 17796; skipping update. +2025-11-04 12:57:55,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:55,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=11.6, mean=-0.06533, std=2.927, absmax=11.6 +2025-11-04 12:57:55,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=11.03, mean=-0.08058, std=2.765, absmax=11.03 +2025-11-04 12:57:55,959 ERROR: Encountered non-finite generator loss at iter 17797; skipping update. +2025-11-04 12:57:55,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:55,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:55,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.15, mean=-0.09685, std=3.101, absmax=13.6 +2025-11-04 12:57:55,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=11.79, mean=-0.09673, std=2.817, absmax=11.81 +2025-11-04 12:57:56,320 ERROR: Encountered non-finite generator loss at iter 17798; skipping update. +2025-11-04 12:57:56,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:56,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:56,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:56,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:56,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.03, mean=-0.3066, std=3.128, absmax=13.37 +2025-11-04 12:57:56,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=10.92, mean=-0.2431, std=2.967, absmax=13.12 +2025-11-04 12:57:56,680 ERROR: Encountered non-finite generator loss at iter 17799; skipping update. +2025-11-04 12:57:56,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:56,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:56,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:56,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:56,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=11.69, mean=-0.1374, std=3.304, absmax=13.05 +2025-11-04 12:57:56,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=11.83, mean=-0.1299, std=3.087, absmax=11.83 +2025-11-04 12:57:57,041 ERROR: Encountered non-finite generator loss at iter 17800; skipping update. +2025-11-04 12:57:57,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:57,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.9, mean=-0.1255, std=3.048, absmax=12.9 +2025-11-04 12:57:57,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.77, mean=-0.1399, std=2.765, absmax=11.77 +2025-11-04 12:57:57,045 INFO: [38..][epoch: 0, step: 17,800, lr:(2.000e-04,)] [eta: 1 day, 12:00:14, time (data): 0.360 (0.000)] +2025-11-04 12:57:57,401 ERROR: Encountered non-finite generator loss at iter 17801; skipping update. +2025-11-04 12:57:57,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,403 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:57,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=17.22, mean=-0.08942, std=3.095, absmax=17.22 +2025-11-04 12:57:57,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=13.17, mean=-0.09567, std=2.821, absmax=13.17 +2025-11-04 12:57:57,761 ERROR: Encountered non-finite generator loss at iter 17802; skipping update. +2025-11-04 12:57:57,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:57,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:57,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=11.95, mean=-0.1047, std=2.965, absmax=11.95 +2025-11-04 12:57:57,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.95, mean=-0.08907, std=2.854, absmax=11.95 +2025-11-04 12:57:58,121 ERROR: Encountered non-finite generator loss at iter 17803; skipping update. +2025-11-04 12:57:58,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:58,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=9.812, mean=-0.1393, std=2.409, absmax=11.86 +2025-11-04 12:57:58,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.803, max=9.714, mean=-0.1208, std=2.338, absmax=9.803 +2025-11-04 12:57:58,481 ERROR: Encountered non-finite generator loss at iter 17804; skipping update. +2025-11-04 12:57:58,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:58,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=15.43, mean=-0.1351, std=3.789, absmax=15.43 +2025-11-04 12:57:58,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=14.9, mean=-0.1022, std=3.632, absmax=14.9 +2025-11-04 12:57:58,841 ERROR: Encountered non-finite generator loss at iter 17805; skipping update. +2025-11-04 12:57:58,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:58,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:58,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.16, mean=-0.1789, std=3.053, absmax=14.16 +2025-11-04 12:57:58,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.45, mean=-0.2226, std=2.98, absmax=11.45 +2025-11-04 12:57:59,200 ERROR: Encountered non-finite generator loss at iter 17806; skipping update. +2025-11-04 12:57:59,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:59,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=10.8, mean=-0.09303, std=2.696, absmax=12.31 +2025-11-04 12:57:59,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=10.39, mean=-0.06655, std=2.527, absmax=10.87 +2025-11-04 12:57:59,560 ERROR: Encountered non-finite generator loss at iter 17807; skipping update. +2025-11-04 12:57:59,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:59,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.12, mean=-0.03159, std=2.77, absmax=13.12 +2025-11-04 12:57:59,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.824, max=12.01, mean=-0.068, std=2.631, absmax=12.01 +2025-11-04 12:57:59,920 ERROR: Encountered non-finite generator loss at iter 17808; skipping update. +2025-11-04 12:57:59,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:57:59,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:57:59,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=14.77, mean=-0.1149, std=3.61, absmax=14.77 +2025-11-04 12:57:59,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=13.21, mean=-0.0938, std=3.362, absmax=13.72 +2025-11-04 12:58:00,279 ERROR: Encountered non-finite generator loss at iter 17809; skipping update. +2025-11-04 12:58:00,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:00,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:00,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:00,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:00,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.25, mean=-0.2252, std=2.741, absmax=13.25 +2025-11-04 12:58:00,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.19, mean=-0.2354, std=2.55, absmax=11.19 +2025-11-04 12:58:00,640 ERROR: Encountered non-finite generator loss at iter 17810; skipping update. +2025-11-04 12:58:00,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:00,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:00,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:00,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:00,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.59, mean=-0.1591, std=2.927, absmax=12.59 +2025-11-04 12:58:00,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=12, mean=-0.1722, std=2.725, absmax=12 +2025-11-04 12:58:01,001 ERROR: Encountered non-finite generator loss at iter 17811; skipping update. +2025-11-04 12:58:01,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:01,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.78, mean=-0.2226, std=3.219, absmax=12.84 +2025-11-04 12:58:01,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=10.53, mean=-0.1916, std=2.965, absmax=11.52 +2025-11-04 12:58:01,361 ERROR: Encountered non-finite generator loss at iter 17812; skipping update. +2025-11-04 12:58:01,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:01,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.73, mean=-0.1163, std=2.841, absmax=11.94 +2025-11-04 12:58:01,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=10.33, mean=-0.1216, std=2.609, absmax=10.79 +2025-11-04 12:58:01,721 ERROR: Encountered non-finite generator loss at iter 17813; skipping update. +2025-11-04 12:58:01,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:01,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:01,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=14.03, mean=-0.2408, std=2.949, absmax=14.03 +2025-11-04 12:58:01,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=11.91, mean=-0.2712, std=2.775, absmax=12.09 +2025-11-04 12:58:02,080 ERROR: Encountered non-finite generator loss at iter 17814; skipping update. +2025-11-04 12:58:02,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:02,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=15.58, mean=0.0003158, std=3.007, absmax=15.58 +2025-11-04 12:58:02,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=13.72, mean=-0.02184, std=2.825, absmax=13.72 +2025-11-04 12:58:02,441 ERROR: Encountered non-finite generator loss at iter 17815; skipping update. +2025-11-04 12:58:02,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:02,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.1, mean=-0.08468, std=2.83, absmax=12.37 +2025-11-04 12:58:02,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.17, mean=-0.07959, std=2.578, absmax=10.85 +2025-11-04 12:58:02,801 ERROR: Encountered non-finite generator loss at iter 17816; skipping update. +2025-11-04 12:58:02,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:02,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:02,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=15.21, mean=-0.06725, std=3.099, absmax=15.21 +2025-11-04 12:58:02,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=11.62, mean=-0.07671, std=2.801, absmax=11.62 +2025-11-04 12:58:03,160 ERROR: Encountered non-finite generator loss at iter 17817; skipping update. +2025-11-04 12:58:03,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:03,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=11.43, mean=-0.1761, std=2.944, absmax=13.49 +2025-11-04 12:58:03,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.35, mean=-0.1664, std=2.76, absmax=11.87 +2025-11-04 12:58:03,520 ERROR: Encountered non-finite generator loss at iter 17818; skipping update. +2025-11-04 12:58:03,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:03,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.99, mean=-0.02759, std=3.463, absmax=13.99 +2025-11-04 12:58:03,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=13.87, mean=-0.03283, std=3.222, absmax=13.87 +2025-11-04 12:58:03,880 ERROR: Encountered non-finite generator loss at iter 17819; skipping update. +2025-11-04 12:58:03,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:03,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:03,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=14.68, mean=-0.2238, std=3.006, absmax=14.68 +2025-11-04 12:58:03,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=14.43, mean=-0.1978, std=2.809, absmax=14.43 +2025-11-04 12:58:04,240 ERROR: Encountered non-finite generator loss at iter 17820; skipping update. +2025-11-04 12:58:04,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:04,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.04, mean=-0.1288, std=2.836, absmax=12.43 +2025-11-04 12:58:04,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=9.674, mean=-0.1119, std=2.632, absmax=12.67 +2025-11-04 12:58:04,600 ERROR: Encountered non-finite generator loss at iter 17821; skipping update. +2025-11-04 12:58:04,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:04,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.42, mean=-0.1036, std=3.627, absmax=13.2 +2025-11-04 12:58:04,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.47, mean=-0.09624, std=3.298, absmax=11.96 +2025-11-04 12:58:04,960 ERROR: Encountered non-finite generator loss at iter 17822; skipping update. +2025-11-04 12:58:04,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:04,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:04,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.64, mean=-0.2431, std=2.426, absmax=13.64 +2025-11-04 12:58:04,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.73, max=10.28, mean=-0.2079, std=2.335, absmax=10.28 +2025-11-04 12:58:05,321 ERROR: Encountered non-finite generator loss at iter 17823; skipping update. +2025-11-04 12:58:05,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:05,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:05,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:05,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:05,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.01, mean=-0.1697, std=2.637, absmax=12.28 +2025-11-04 12:58:05,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=10.42, mean=-0.1845, std=2.428, absmax=10.8 +2025-11-04 12:58:05,681 ERROR: Encountered non-finite generator loss at iter 17824; skipping update. +2025-11-04 12:58:05,682 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:05,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:05,683 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:05,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:05,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.87, mean=-0.2422, std=2.816, absmax=12.87 +2025-11-04 12:58:05,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=13.03, mean=-0.2488, std=2.674, absmax=13.03 +2025-11-04 12:58:06,041 ERROR: Encountered non-finite generator loss at iter 17825; skipping update. +2025-11-04 12:58:06,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:06,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.09, mean=-0.2077, std=3.028, absmax=13.09 +2025-11-04 12:58:06,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.03, mean=-0.1754, std=2.984, absmax=12.34 +2025-11-04 12:58:06,402 ERROR: Encountered non-finite generator loss at iter 17826; skipping update. +2025-11-04 12:58:06,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:06,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=11.16, mean=-0.3094, std=3.369, absmax=14.13 +2025-11-04 12:58:06,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.87, max=9.408, mean=-0.3157, std=3.156, absmax=13.87 +2025-11-04 12:58:06,761 ERROR: Encountered non-finite generator loss at iter 17827; skipping update. +2025-11-04 12:58:06,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:06,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:06,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=15.83, mean=-0.2316, std=2.668, absmax=15.83 +2025-11-04 12:58:06,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.682, max=13.3, mean=-0.224, std=2.534, absmax=13.3 +2025-11-04 12:58:07,122 ERROR: Encountered non-finite generator loss at iter 17828; skipping update. +2025-11-04 12:58:07,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:07,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=9.885, mean=-0.3482, std=2.902, absmax=15.14 +2025-11-04 12:58:07,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=8.947, mean=-0.3063, std=2.718, absmax=12.39 +2025-11-04 12:58:07,482 ERROR: Encountered non-finite generator loss at iter 17829; skipping update. +2025-11-04 12:58:07,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:07,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.7, mean=-0.1587, std=2.981, absmax=12.93 +2025-11-04 12:58:07,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=13.24, mean=-0.1575, std=2.773, absmax=13.24 +2025-11-04 12:58:07,842 ERROR: Encountered non-finite generator loss at iter 17830; skipping update. +2025-11-04 12:58:07,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,844 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:07,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:07,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.52, mean=-0.1568, std=2.608, absmax=12.52 +2025-11-04 12:58:07,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=11.34, mean=-0.1715, std=2.441, absmax=11.34 +2025-11-04 12:58:08,203 ERROR: Encountered non-finite generator loss at iter 17831; skipping update. +2025-11-04 12:58:08,204 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,205 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:08,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.4, mean=0.01765, std=2.911, absmax=13.09 +2025-11-04 12:58:08,206 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=11.78, mean=0.05131, std=2.724, absmax=12.42 +2025-11-04 12:58:08,563 ERROR: Encountered non-finite generator loss at iter 17832; skipping update. +2025-11-04 12:58:08,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:08,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=15.45, mean=-0.2833, std=3.345, absmax=15.45 +2025-11-04 12:58:08,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=15.21, mean=-0.2683, std=3.09, absmax=15.21 +2025-11-04 12:58:08,923 ERROR: Encountered non-finite generator loss at iter 17833; skipping update. +2025-11-04 12:58:08,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,924 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:08,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:08,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=15.19, mean=-0.1272, std=3.301, absmax=15.19 +2025-11-04 12:58:08,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=13.04, mean=-0.1314, std=3.004, absmax=13.04 +2025-11-04 12:58:09,283 ERROR: Encountered non-finite generator loss at iter 17834; skipping update. +2025-11-04 12:58:09,283 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:09,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:09,284 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:09,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:09,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=13.85, mean=-0.2847, std=3.643, absmax=15.18 +2025-11-04 12:58:09,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.2, max=11.63, mean=-0.2599, std=3.39, absmax=14.2 +2025-11-04 12:58:09,643 ERROR: Encountered non-finite generator loss at iter 17835; skipping update. +2025-11-04 12:58:09,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:09,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:09,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:09,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:09,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.57, mean=-0.2977, std=2.667, absmax=12.57 +2025-11-04 12:58:09,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.56, mean=-0.2908, std=2.497, absmax=11.56 +2025-11-04 12:58:10,004 ERROR: Encountered non-finite generator loss at iter 17836; skipping update. +2025-11-04 12:58:10,005 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,006 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:10,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.78, mean=-0.1722, std=3.207, absmax=13.06 +2025-11-04 12:58:10,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.52, mean=-0.1383, std=2.9, absmax=11.95 +2025-11-04 12:58:10,363 ERROR: Encountered non-finite generator loss at iter 17837; skipping update. +2025-11-04 12:58:10,365 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,366 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:10,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=15.15, mean=-0.2087, std=2.798, absmax=15.15 +2025-11-04 12:58:10,367 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=12.13, mean=-0.1585, std=2.589, absmax=12.13 +2025-11-04 12:58:10,724 ERROR: Encountered non-finite generator loss at iter 17838; skipping update. +2025-11-04 12:58:10,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:10,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:10,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.08, mean=-0.2429, std=2.77, absmax=12.63 +2025-11-04 12:58:10,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.27, mean=-0.1912, std=2.698, absmax=11.49 +2025-11-04 12:58:11,084 ERROR: Encountered non-finite generator loss at iter 17839; skipping update. +2025-11-04 12:58:11,085 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,086 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:11,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=12.51, mean=-0.1028, std=2.674, absmax=12.51 +2025-11-04 12:58:11,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.65, mean=-0.1059, std=2.483, absmax=11.82 +2025-11-04 12:58:11,443 ERROR: Encountered non-finite generator loss at iter 17840; skipping update. +2025-11-04 12:58:11,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:11,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.96, mean=-0.07806, std=3.035, absmax=12.66 +2025-11-04 12:58:11,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=11.43, mean=-0.05213, std=2.812, absmax=12.59 +2025-11-04 12:58:11,804 ERROR: Encountered non-finite generator loss at iter 17841; skipping update. +2025-11-04 12:58:11,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:11,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:11,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.58, mean=-0.115, std=3.096, absmax=12.58 +2025-11-04 12:58:11,808 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=11.86, mean=-0.1085, std=2.883, absmax=11.86 +2025-11-04 12:58:12,167 ERROR: Encountered non-finite generator loss at iter 17842; skipping update. +2025-11-04 12:58:12,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:12,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=16.02, mean=-0.04521, std=2.953, absmax=16.02 +2025-11-04 12:58:12,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=13.37, mean=-0.02341, std=2.761, absmax=13.37 +2025-11-04 12:58:12,534 ERROR: Encountered non-finite generator loss at iter 17843; skipping update. +2025-11-04 12:58:12,535 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,536 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,536 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:12,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.84, mean=-0.1652, std=2.527, absmax=13.63 +2025-11-04 12:58:12,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=11.72, mean=-0.104, std=2.482, absmax=12.69 +2025-11-04 12:58:12,898 ERROR: Encountered non-finite generator loss at iter 17844; skipping update. +2025-11-04 12:58:12,899 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:12,900 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:12,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.47, mean=-0.1916, std=2.868, absmax=12.67 +2025-11-04 12:58:12,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=12.32, mean=-0.1599, std=2.643, absmax=12.32 +2025-11-04 12:58:13,260 ERROR: Encountered non-finite generator loss at iter 17845; skipping update. +2025-11-04 12:58:13,261 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,262 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:13,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=17, mean=-0.1378, std=3.731, absmax=17 +2025-11-04 12:58:13,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.47, max=13.13, mean=-0.1465, std=3.442, absmax=14.47 +2025-11-04 12:58:13,622 ERROR: Encountered non-finite generator loss at iter 17846; skipping update. +2025-11-04 12:58:13,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:13,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=11.98, mean=-0.2227, std=2.763, absmax=12.09 +2025-11-04 12:58:13,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=9.925, mean=-0.1959, std=2.594, absmax=11.45 +2025-11-04 12:58:13,982 ERROR: Encountered non-finite generator loss at iter 17847; skipping update. +2025-11-04 12:58:13,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:13,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:13,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.35, mean=-0.07623, std=3.597, absmax=13.92 +2025-11-04 12:58:13,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.64, max=12.5, mean=-0.0411, std=3.334, absmax=13.64 +2025-11-04 12:58:14,344 ERROR: Encountered non-finite generator loss at iter 17848; skipping update. +2025-11-04 12:58:14,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:14,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:14,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:14,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:14,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=10.64, mean=-0.2074, std=3.153, absmax=10.79 +2025-11-04 12:58:14,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=11.37, mean=-0.208, std=3.036, absmax=11.37 +2025-11-04 12:58:14,706 ERROR: Encountered non-finite generator loss at iter 17849; skipping update. +2025-11-04 12:58:14,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:14,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:14,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:14,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:14,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=15.07, mean=-0.2909, std=3.027, absmax=15.07 +2025-11-04 12:58:14,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=14.18, mean=-0.2897, std=2.902, absmax=14.18 +2025-11-04 12:58:15,066 ERROR: Encountered non-finite generator loss at iter 17850; skipping update. +2025-11-04 12:58:15,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:15,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=10.91, mean=-0.2578, std=2.365, absmax=11.46 +2025-11-04 12:58:15,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=9.314, mean=-0.237, std=2.249, absmax=11.19 +2025-11-04 12:58:15,428 ERROR: Encountered non-finite generator loss at iter 17851; skipping update. +2025-11-04 12:58:15,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,430 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:15,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.48, mean=-0.1898, std=2.932, absmax=11.91 +2025-11-04 12:58:15,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=9.967, mean=-0.2266, std=2.708, absmax=10.99 +2025-11-04 12:58:15,788 ERROR: Encountered non-finite generator loss at iter 17852; skipping update. +2025-11-04 12:58:15,790 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:15,791 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:15,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.47, mean=-0.223, std=3.054, absmax=12.47 +2025-11-04 12:58:15,792 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.44, mean=-0.2138, std=2.752, absmax=11.13 +2025-11-04 12:58:16,149 ERROR: Encountered non-finite generator loss at iter 17853; skipping update. +2025-11-04 12:58:16,150 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,151 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,151 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:16,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=15.02, mean=-0.3225, std=2.855, absmax=15.02 +2025-11-04 12:58:16,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=11.32, mean=-0.2806, std=2.717, absmax=13.54 +2025-11-04 12:58:16,509 ERROR: Encountered non-finite generator loss at iter 17854; skipping update. +2025-11-04 12:58:16,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,512 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:16,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.84, mean=-0.1448, std=2.538, absmax=14 +2025-11-04 12:58:16,513 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11, mean=-0.1863, std=2.383, absmax=11.86 +2025-11-04 12:58:16,870 ERROR: Encountered non-finite generator loss at iter 17855; skipping update. +2025-11-04 12:58:16,871 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,872 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:16,872 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:16,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=11.83, mean=-0.06947, std=2.93, absmax=11.84 +2025-11-04 12:58:16,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=10.57, mean=-0.04682, std=2.777, absmax=10.58 +2025-11-04 12:58:17,231 ERROR: Encountered non-finite generator loss at iter 17856; skipping update. +2025-11-04 12:58:17,232 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,233 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,233 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:17,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=10.79, mean=-0.1288, std=2.755, absmax=11.82 +2025-11-04 12:58:17,234 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.22, mean=-0.08715, std=2.667, absmax=11.22 +2025-11-04 12:58:17,592 ERROR: Encountered non-finite generator loss at iter 17857; skipping update. +2025-11-04 12:58:17,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,594 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:17,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.05, max=12.95, mean=-0.101, std=2.922, absmax=16.05 +2025-11-04 12:58:17,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.52, max=11.73, mean=-0.1103, std=2.72, absmax=14.52 +2025-11-04 12:58:17,952 ERROR: Encountered non-finite generator loss at iter 17858; skipping update. +2025-11-04 12:58:17,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:17,955 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:17,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.11, mean=-0.07898, std=3.065, absmax=14.17 +2025-11-04 12:58:17,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.51, mean=-0.06197, std=2.777, absmax=12.41 +2025-11-04 12:58:18,313 ERROR: Encountered non-finite generator loss at iter 17859; skipping update. +2025-11-04 12:58:18,314 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:18,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:18,315 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:18,315 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:18,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=15.98, mean=-0.2458, std=2.696, absmax=15.98 +2025-11-04 12:58:18,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=12.3, mean=-0.255, std=2.453, absmax=13.22 +2025-11-04 12:58:18,673 ERROR: Encountered non-finite generator loss at iter 17860; skipping update. +2025-11-04 12:58:18,674 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:18,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:18,675 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:18,676 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:18,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=11.28, mean=-0.08237, std=3.217, absmax=13.65 +2025-11-04 12:58:18,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=9.875, mean=-0.06928, std=3.079, absmax=12.24 +2025-11-04 12:58:19,034 ERROR: Encountered non-finite generator loss at iter 17861; skipping update. +2025-11-04 12:58:19,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:19,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.59, mean=-0.1596, std=3.33, absmax=12.62 +2025-11-04 12:58:19,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.05, mean=-0.1247, std=2.992, absmax=12.05 +2025-11-04 12:58:19,394 ERROR: Encountered non-finite generator loss at iter 17862; skipping update. +2025-11-04 12:58:19,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,396 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:19,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.57, mean=0.05226, std=3.099, absmax=13.57 +2025-11-04 12:58:19,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=13.15, mean=0.04661, std=2.9, absmax=13.15 +2025-11-04 12:58:19,754 ERROR: Encountered non-finite generator loss at iter 17863; skipping update. +2025-11-04 12:58:19,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:19,756 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:19,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.41, mean=-0.211, std=2.836, absmax=13.35 +2025-11-04 12:58:19,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=11.65, mean=-0.169, std=2.66, absmax=11.65 +2025-11-04 12:58:20,115 ERROR: Encountered non-finite generator loss at iter 17864; skipping update. +2025-11-04 12:58:20,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:20,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=10.78, mean=-0.2646, std=2.841, absmax=12.22 +2025-11-04 12:58:20,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=10.48, mean=-0.2186, std=2.714, absmax=11.33 +2025-11-04 12:58:20,476 ERROR: Encountered non-finite generator loss at iter 17865; skipping update. +2025-11-04 12:58:20,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:20,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.1, mean=-0.2321, std=3.784, absmax=14.1 +2025-11-04 12:58:20,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=13.02, mean=-0.2099, std=3.495, absmax=13.02 +2025-11-04 12:58:20,837 ERROR: Encountered non-finite generator loss at iter 17866; skipping update. +2025-11-04 12:58:20,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:20,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:20,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.5, mean=-0.05404, std=2.914, absmax=13.5 +2025-11-04 12:58:20,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.31, mean=-0.1211, std=2.743, absmax=12.38 +2025-11-04 12:58:21,197 ERROR: Encountered non-finite generator loss at iter 17867; skipping update. +2025-11-04 12:58:21,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:21,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.63, mean=-0.1001, std=3.156, absmax=14.63 +2025-11-04 12:58:21,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.08, mean=-0.1107, std=3, absmax=11.08 +2025-11-04 12:58:21,556 ERROR: Encountered non-finite generator loss at iter 17868; skipping update. +2025-11-04 12:58:21,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:21,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.772, max=9.745, mean=-0.2766, std=2.326, absmax=9.772 +2025-11-04 12:58:21,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=8.844, mean=-0.2929, std=2.186, absmax=10.01 +2025-11-04 12:58:21,916 ERROR: Encountered non-finite generator loss at iter 17869; skipping update. +2025-11-04 12:58:21,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:21,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:21,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=13.79, mean=-0.1333, std=3.269, absmax=13.79 +2025-11-04 12:58:21,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.74, mean=-0.1177, std=2.979, absmax=12.34 +2025-11-04 12:58:22,275 ERROR: Encountered non-finite generator loss at iter 17870; skipping update. +2025-11-04 12:58:22,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:22,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.02, mean=-0.2886, std=3.35, absmax=13.58 +2025-11-04 12:58:22,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=10.96, mean=-0.269, std=3.095, absmax=11.83 +2025-11-04 12:58:22,635 ERROR: Encountered non-finite generator loss at iter 17871; skipping update. +2025-11-04 12:58:22,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:22,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.32, mean=-0.2187, std=3.218, absmax=14.32 +2025-11-04 12:58:22,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=12.07, mean=-0.2039, std=2.979, absmax=13.53 +2025-11-04 12:58:22,996 ERROR: Encountered non-finite generator loss at iter 17872; skipping update. +2025-11-04 12:58:22,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:22,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:22,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.39, mean=-0.3267, std=3.016, absmax=13.39 +2025-11-04 12:58:22,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.72, mean=-0.285, std=2.796, absmax=11.72 +2025-11-04 12:58:23,356 ERROR: Encountered non-finite generator loss at iter 17873; skipping update. +2025-11-04 12:58:23,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:23,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:23,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:23,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:23,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.48, mean=0.0806, std=3.451, absmax=13.7 +2025-11-04 12:58:23,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=12.12, mean=0.07838, std=3.087, absmax=13.09 +2025-11-04 12:58:23,716 ERROR: Encountered non-finite generator loss at iter 17874; skipping update. +2025-11-04 12:58:23,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:23,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:23,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:23,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:23,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.51, mean=-0.2906, std=3.142, absmax=13.51 +2025-11-04 12:58:23,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=10.93, mean=-0.2988, std=2.895, absmax=12.93 +2025-11-04 12:58:24,076 ERROR: Encountered non-finite generator loss at iter 17875; skipping update. +2025-11-04 12:58:24,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:24,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=11.95, mean=-0.1972, std=3.519, absmax=13.84 +2025-11-04 12:58:24,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=10.99, mean=-0.1782, std=3.35, absmax=12.71 +2025-11-04 12:58:24,437 ERROR: Encountered non-finite generator loss at iter 17876; skipping update. +2025-11-04 12:58:24,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:24,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.53, mean=-0.1415, std=3.087, absmax=12.53 +2025-11-04 12:58:24,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=10.83, mean=-0.1108, std=2.802, absmax=10.89 +2025-11-04 12:58:24,796 ERROR: Encountered non-finite generator loss at iter 17877; skipping update. +2025-11-04 12:58:24,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:24,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:24,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=16.37, mean=0.07736, std=3.599, absmax=16.37 +2025-11-04 12:58:24,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=15.05, mean=-0.003176, std=3.337, absmax=15.05 +2025-11-04 12:58:25,156 ERROR: Encountered non-finite generator loss at iter 17878; skipping update. +2025-11-04 12:58:25,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:25,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.64, mean=-0.2871, std=3.348, absmax=13.41 +2025-11-04 12:58:25,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=12.01, mean=-0.3014, std=2.995, absmax=12.01 +2025-11-04 12:58:25,517 ERROR: Encountered non-finite generator loss at iter 17879; skipping update. +2025-11-04 12:58:25,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:25,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.33, mean=-0.1029, std=2.969, absmax=12.17 +2025-11-04 12:58:25,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=9.684, mean=-0.1024, std=2.794, absmax=11.31 +2025-11-04 12:58:25,876 ERROR: Encountered non-finite generator loss at iter 17880; skipping update. +2025-11-04 12:58:25,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:25,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:25,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=15.16, mean=-0.01964, std=3.864, absmax=15.16 +2025-11-04 12:58:25,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=15.04, mean=-0.01973, std=3.656, absmax=15.04 +2025-11-04 12:58:26,236 ERROR: Encountered non-finite generator loss at iter 17881; skipping update. +2025-11-04 12:58:26,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:26,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.18, mean=-0.1421, std=2.732, absmax=12.31 +2025-11-04 12:58:26,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=9.793, mean=-0.1115, std=2.506, absmax=10.6 +2025-11-04 12:58:26,595 ERROR: Encountered non-finite generator loss at iter 17882; skipping update. +2025-11-04 12:58:26,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:26,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=12.27, mean=-0.1749, std=2.544, absmax=12.27 +2025-11-04 12:58:26,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.72, mean=-0.1811, std=2.419, absmax=11.72 +2025-11-04 12:58:26,956 ERROR: Encountered non-finite generator loss at iter 17883; skipping update. +2025-11-04 12:58:26,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:26,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:26,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=11.46, mean=-0.1431, std=2.968, absmax=13.62 +2025-11-04 12:58:26,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=9.966, mean=-0.1105, std=2.766, absmax=12.4 +2025-11-04 12:58:27,317 ERROR: Encountered non-finite generator loss at iter 17884; skipping update. +2025-11-04 12:58:27,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:27,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:27,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:27,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:27,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.19, max=13.43, mean=-0.1973, std=2.89, absmax=13.43 +2025-11-04 12:58:27,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.534, max=12.9, mean=-0.1552, std=2.781, absmax=12.9 +2025-11-04 12:58:27,676 ERROR: Encountered non-finite generator loss at iter 17885; skipping update. +2025-11-04 12:58:27,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:27,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:27,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:27,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:27,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.18, mean=0.06313, std=3.136, absmax=13.18 +2025-11-04 12:58:27,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=11.91, mean=0.09486, std=2.876, absmax=12.15 +2025-11-04 12:58:28,037 ERROR: Encountered non-finite generator loss at iter 17886; skipping update. +2025-11-04 12:58:28,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:28,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=14.2, mean=-0.1535, std=2.642, absmax=14.2 +2025-11-04 12:58:28,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=13.24, mean=-0.1801, std=2.554, absmax=13.24 +2025-11-04 12:58:28,397 ERROR: Encountered non-finite generator loss at iter 17887; skipping update. +2025-11-04 12:58:28,398 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,399 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:28,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.16, mean=-0.1271, std=2.975, absmax=13.16 +2025-11-04 12:58:28,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=10.73, mean=-0.1103, std=2.766, absmax=10.73 +2025-11-04 12:58:28,757 ERROR: Encountered non-finite generator loss at iter 17888; skipping update. +2025-11-04 12:58:28,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:28,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:28,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=12.32, mean=-0.3061, std=2.713, absmax=12.32 +2025-11-04 12:58:28,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=9.956, mean=-0.3248, std=2.565, absmax=11.45 +2025-11-04 12:58:29,117 ERROR: Encountered non-finite generator loss at iter 17889; skipping update. +2025-11-04 12:58:29,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:29,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=10.74, mean=-0.1693, std=2.869, absmax=12.78 +2025-11-04 12:58:29,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=11.1, mean=-0.1257, std=2.797, absmax=11.61 +2025-11-04 12:58:29,477 ERROR: Encountered non-finite generator loss at iter 17890; skipping update. +2025-11-04 12:58:29,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:29,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.49, mean=-0.06044, std=3.081, absmax=12.68 +2025-11-04 12:58:29,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.77, mean=-0.04509, std=2.798, absmax=10.77 +2025-11-04 12:58:29,837 ERROR: Encountered non-finite generator loss at iter 17891; skipping update. +2025-11-04 12:58:29,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:29,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:29,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=13.79, mean=-0.1758, std=2.933, absmax=15.01 +2025-11-04 12:58:29,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.82, max=12.65, mean=-0.1485, std=2.71, absmax=13.82 +2025-11-04 12:58:30,197 ERROR: Encountered non-finite generator loss at iter 17892; skipping update. +2025-11-04 12:58:30,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:30,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.97, mean=-0.2192, std=2.956, absmax=12.97 +2025-11-04 12:58:30,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=10.01, mean=-0.2075, std=2.657, absmax=11.52 +2025-11-04 12:58:30,557 ERROR: Encountered non-finite generator loss at iter 17893; skipping update. +2025-11-04 12:58:30,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:30,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.46, mean=-0.1356, std=3.338, absmax=12.46 +2025-11-04 12:58:30,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=10.87, mean=-0.1186, std=2.956, absmax=11.3 +2025-11-04 12:58:30,917 ERROR: Encountered non-finite generator loss at iter 17894; skipping update. +2025-11-04 12:58:30,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:30,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:30,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=11.65, mean=0.02083, std=2.867, absmax=12.23 +2025-11-04 12:58:30,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=10.78, mean=-0.03159, std=2.777, absmax=10.91 +2025-11-04 12:58:31,276 ERROR: Encountered non-finite generator loss at iter 17895; skipping update. +2025-11-04 12:58:31,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:31,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=11.61, mean=-0.2101, std=2.597, absmax=11.61 +2025-11-04 12:58:31,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.94, max=10.14, mean=-0.1865, std=2.383, absmax=10.14 +2025-11-04 12:58:31,636 ERROR: Encountered non-finite generator loss at iter 17896; skipping update. +2025-11-04 12:58:31,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:31,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12.37, mean=-0.2837, std=2.794, absmax=12.37 +2025-11-04 12:58:31,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=10.63, mean=-0.2863, std=2.626, absmax=10.84 +2025-11-04 12:58:31,995 ERROR: Encountered non-finite generator loss at iter 17897; skipping update. +2025-11-04 12:58:31,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:31,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:31,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.48, max=12.71, mean=-0.1088, std=2.79, absmax=12.71 +2025-11-04 12:58:31,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.68, mean=-0.1366, std=2.587, absmax=11.68 +2025-11-04 12:58:32,355 ERROR: Encountered non-finite generator loss at iter 17898; skipping update. +2025-11-04 12:58:32,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:32,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:32,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:32,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:32,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=15.86, mean=-0.1477, std=3.301, absmax=15.86 +2025-11-04 12:58:32,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=14.57, mean=-0.1424, std=3.119, absmax=14.57 +2025-11-04 12:58:32,715 ERROR: Encountered non-finite generator loss at iter 17899; skipping update. +2025-11-04 12:58:32,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:32,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:32,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:32,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:32,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.88, max=12.88, mean=-0.07112, std=3.145, absmax=16.88 +2025-11-04 12:58:32,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=10.96, mean=-0.06245, std=2.802, absmax=11.95 +2025-11-04 12:58:33,075 ERROR: Encountered non-finite generator loss at iter 17900; skipping update. +2025-11-04 12:58:33,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,077 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:33,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.89, mean=-0.2188, std=3.238, absmax=14.89 +2025-11-04 12:58:33,078 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=13.46, mean=-0.1976, std=2.966, absmax=13.46 +2025-11-04 12:58:33,079 INFO: [38..][epoch: 0, step: 17,900, lr:(2.000e-04,)] [eta: 1 day, 11:49:45, time (data): 0.360 (0.000)] +2025-11-04 12:58:33,435 ERROR: Encountered non-finite generator loss at iter 17901; skipping update. +2025-11-04 12:58:33,436 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,437 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:33,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.47, mean=-0.1367, std=2.7, absmax=12.07 +2025-11-04 12:58:33,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.27, mean=-0.1283, std=2.559, absmax=11.27 +2025-11-04 12:58:33,795 ERROR: Encountered non-finite generator loss at iter 17902; skipping update. +2025-11-04 12:58:33,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:33,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:33,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.93, mean=-0.2142, std=3.165, absmax=13.93 +2025-11-04 12:58:33,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=11, mean=-0.2167, std=2.913, absmax=11.28 +2025-11-04 12:58:34,156 ERROR: Encountered non-finite generator loss at iter 17903; skipping update. +2025-11-04 12:58:34,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:34,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.46, max=12.93, mean=-0.1411, std=2.999, absmax=18.46 +2025-11-04 12:58:34,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.38, max=12.03, mean=-0.1253, std=2.782, absmax=15.38 +2025-11-04 12:58:34,516 ERROR: Encountered non-finite generator loss at iter 17904; skipping update. +2025-11-04 12:58:34,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:34,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=13.06, mean=-0.1391, std=2.198, absmax=13.06 +2025-11-04 12:58:34,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=14.33, mean=-0.07706, std=2.204, absmax=14.33 +2025-11-04 12:58:34,876 ERROR: Encountered non-finite generator loss at iter 17905; skipping update. +2025-11-04 12:58:34,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:34,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:34,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17, max=14.59, mean=0.06242, std=4.055, absmax=17 +2025-11-04 12:58:34,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.52, max=13.25, mean=0.06767, std=3.747, absmax=15.52 +2025-11-04 12:58:35,236 ERROR: Encountered non-finite generator loss at iter 17906; skipping update. +2025-11-04 12:58:35,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:35,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.49, mean=-0.195, std=2.894, absmax=13.49 +2025-11-04 12:58:35,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.59, mean=-0.1878, std=2.66, absmax=11.59 +2025-11-04 12:58:35,596 ERROR: Encountered non-finite generator loss at iter 17907; skipping update. +2025-11-04 12:58:35,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:35,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=15.93, mean=0.003706, std=3.28, absmax=15.93 +2025-11-04 12:58:35,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=14.26, mean=-0.002451, std=3.062, absmax=14.26 +2025-11-04 12:58:35,956 ERROR: Encountered non-finite generator loss at iter 17908; skipping update. +2025-11-04 12:58:35,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:35,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:35,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.94, mean=-0.2075, std=3.082, absmax=13.56 +2025-11-04 12:58:35,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=11.62, mean=-0.1989, std=2.89, absmax=12.94 +2025-11-04 12:58:36,316 ERROR: Encountered non-finite generator loss at iter 17909; skipping update. +2025-11-04 12:58:36,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:36,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:36,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:36,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:36,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=14.76, mean=0.03552, std=3.314, absmax=14.76 +2025-11-04 12:58:36,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=13.47, mean=0.04252, std=3.13, absmax=13.47 +2025-11-04 12:58:36,675 ERROR: Encountered non-finite generator loss at iter 17910; skipping update. +2025-11-04 12:58:36,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:36,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:36,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:36,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:36,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.18, mean=-0.1862, std=3.106, absmax=12.65 +2025-11-04 12:58:36,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=10.92, mean=-0.1286, std=2.891, absmax=11.64 +2025-11-04 12:58:37,036 ERROR: Encountered non-finite generator loss at iter 17911; skipping update. +2025-11-04 12:58:37,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:37,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.46, mean=-0.2588, std=2.962, absmax=12.46 +2025-11-04 12:58:37,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.3, mean=-0.1933, std=2.796, absmax=10.71 +2025-11-04 12:58:37,396 ERROR: Encountered non-finite generator loss at iter 17912; skipping update. +2025-11-04 12:58:37,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:37,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.85, mean=-0.157, std=2.922, absmax=12.85 +2025-11-04 12:58:37,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=10.79, mean=-0.1709, std=2.74, absmax=10.79 +2025-11-04 12:58:37,756 ERROR: Encountered non-finite generator loss at iter 17913; skipping update. +2025-11-04 12:58:37,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:37,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:37,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.83, mean=-0.2199, std=2.895, absmax=12.83 +2025-11-04 12:58:37,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.03, mean=-0.2272, std=2.721, absmax=11.03 +2025-11-04 12:58:38,116 ERROR: Encountered non-finite generator loss at iter 17914; skipping update. +2025-11-04 12:58:38,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:38,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=13.35, mean=0.02297, std=3.276, absmax=14.95 +2025-11-04 12:58:38,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.27, max=11.62, mean=0.01782, std=3.068, absmax=14.27 +2025-11-04 12:58:38,477 ERROR: Encountered non-finite generator loss at iter 17915; skipping update. +2025-11-04 12:58:38,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:38,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=16.03, mean=-0.1036, std=3.138, absmax=16.03 +2025-11-04 12:58:38,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.44, mean=-0.05535, std=2.888, absmax=12.44 +2025-11-04 12:58:38,837 ERROR: Encountered non-finite generator loss at iter 17916; skipping update. +2025-11-04 12:58:38,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:38,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:38,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.99, mean=-0.03452, std=2.992, absmax=13.99 +2025-11-04 12:58:38,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=13.03, mean=-0.0506, std=2.741, absmax=13.03 +2025-11-04 12:58:39,197 ERROR: Encountered non-finite generator loss at iter 17917; skipping update. +2025-11-04 12:58:39,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:39,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=10.66, mean=-0.2833, std=2.767, absmax=13.44 +2025-11-04 12:58:39,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=11.41, mean=-0.2617, std=2.513, absmax=11.68 +2025-11-04 12:58:39,556 ERROR: Encountered non-finite generator loss at iter 17918; skipping update. +2025-11-04 12:58:39,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:39,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.88, mean=-0.1746, std=3.231, absmax=14.23 +2025-11-04 12:58:39,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=12, mean=-0.1478, std=3.049, absmax=12 +2025-11-04 12:58:39,917 ERROR: Encountered non-finite generator loss at iter 17919; skipping update. +2025-11-04 12:58:39,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:39,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:39,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=18.91, mean=0.3073, std=3.506, absmax=18.91 +2025-11-04 12:58:39,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=15.28, mean=0.3155, std=3.344, absmax=15.28 +2025-11-04 12:58:40,277 ERROR: Encountered non-finite generator loss at iter 17920; skipping update. +2025-11-04 12:58:40,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:40,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=16.11, mean=-0.2873, std=3.483, absmax=16.11 +2025-11-04 12:58:40,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.67, max=13.9, mean=-0.2659, std=3.155, absmax=14.67 +2025-11-04 12:58:40,636 ERROR: Encountered non-finite generator loss at iter 17921; skipping update. +2025-11-04 12:58:40,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:40,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=15.74, mean=-0.03819, std=3.54, absmax=15.74 +2025-11-04 12:58:40,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.29, max=13.71, mean=-0.03357, std=3.277, absmax=15.29 +2025-11-04 12:58:40,996 ERROR: Encountered non-finite generator loss at iter 17922; skipping update. +2025-11-04 12:58:40,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:40,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:40,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=14.92, mean=-0.175, std=3.145, absmax=14.92 +2025-11-04 12:58:40,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=14.61, mean=-0.1407, std=2.997, absmax=14.61 +2025-11-04 12:58:41,355 ERROR: Encountered non-finite generator loss at iter 17923; skipping update. +2025-11-04 12:58:41,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:41,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:41,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:41,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:41,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=14.52, mean=-0.267, std=2.967, absmax=14.52 +2025-11-04 12:58:41,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=13.47, mean=-0.2357, std=2.803, absmax=13.47 +2025-11-04 12:58:41,716 ERROR: Encountered non-finite generator loss at iter 17924; skipping update. +2025-11-04 12:58:41,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:41,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:41,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:41,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:41,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=17.45, mean=-0.1442, std=3.282, absmax=17.45 +2025-11-04 12:58:41,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=15, mean=-0.1126, std=3.105, absmax=15 +2025-11-04 12:58:42,076 ERROR: Encountered non-finite generator loss at iter 17925; skipping update. +2025-11-04 12:58:42,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:42,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.81, mean=-0.2302, std=3.311, absmax=13.81 +2025-11-04 12:58:42,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=12.6, mean=-0.2494, std=2.938, absmax=12.6 +2025-11-04 12:58:42,437 ERROR: Encountered non-finite generator loss at iter 17926; skipping update. +2025-11-04 12:58:42,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:42,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.95, mean=-0.3129, std=2.97, absmax=13.03 +2025-11-04 12:58:42,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.4, mean=-0.2753, std=2.773, absmax=11.59 +2025-11-04 12:58:42,796 ERROR: Encountered non-finite generator loss at iter 17927; skipping update. +2025-11-04 12:58:42,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:42,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:42,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=15.53, mean=0.0276, std=3.018, absmax=15.53 +2025-11-04 12:58:42,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=14.52, mean=0.02198, std=2.799, absmax=14.52 +2025-11-04 12:58:43,156 ERROR: Encountered non-finite generator loss at iter 17928; skipping update. +2025-11-04 12:58:43,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:43,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.33, mean=-0.2328, std=2.855, absmax=12.33 +2025-11-04 12:58:43,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.54, mean=-0.2318, std=2.629, absmax=11.46 +2025-11-04 12:58:43,516 ERROR: Encountered non-finite generator loss at iter 17929; skipping update. +2025-11-04 12:58:43,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:43,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=15.49, mean=-0.0783, std=3.438, absmax=15.49 +2025-11-04 12:58:43,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=15.17, mean=-0.03917, std=3.195, absmax=15.17 +2025-11-04 12:58:43,876 ERROR: Encountered non-finite generator loss at iter 17930; skipping update. +2025-11-04 12:58:43,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:43,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:43,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.88, mean=-0.237, std=3.246, absmax=14.88 +2025-11-04 12:58:43,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=11.04, mean=-0.2253, std=3.024, absmax=12.66 +2025-11-04 12:58:44,236 ERROR: Encountered non-finite generator loss at iter 17931; skipping update. +2025-11-04 12:58:44,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:44,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14.65, mean=-0.009524, std=3.529, absmax=14.65 +2025-11-04 12:58:44,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=12.42, mean=-0.03239, std=3.298, absmax=12.58 +2025-11-04 12:58:44,596 ERROR: Encountered non-finite generator loss at iter 17932; skipping update. +2025-11-04 12:58:44,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:44,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=14.41, mean=0.05574, std=3.158, absmax=14.41 +2025-11-04 12:58:44,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=13.63, mean=0.05401, std=2.958, absmax=13.63 +2025-11-04 12:58:44,956 ERROR: Encountered non-finite generator loss at iter 17933; skipping update. +2025-11-04 12:58:44,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:44,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:44,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.2, mean=-0.3713, std=2.991, absmax=12.45 +2025-11-04 12:58:44,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=11.33, mean=-0.322, std=3.068, absmax=13.05 +2025-11-04 12:58:45,317 ERROR: Encountered non-finite generator loss at iter 17934; skipping update. +2025-11-04 12:58:45,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:45,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:45,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:45,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:45,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.84, mean=-0.08939, std=3.01, absmax=13.84 +2025-11-04 12:58:45,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.04, max=12.41, mean=-0.08986, std=2.834, absmax=14.04 +2025-11-04 12:58:45,677 ERROR: Encountered non-finite generator loss at iter 17935; skipping update. +2025-11-04 12:58:45,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:45,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:45,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:45,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:45,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=11.76, mean=-0.09221, std=3.32, absmax=13.89 +2025-11-04 12:58:45,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=12.36, mean=-0.1302, std=3.104, absmax=12.55 +2025-11-04 12:58:46,041 ERROR: Encountered non-finite generator loss at iter 17936; skipping update. +2025-11-04 12:58:46,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:46,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=17.36, mean=0.0542, std=3.578, absmax=17.36 +2025-11-04 12:58:46,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=15.81, mean=0.03054, std=3.388, absmax=15.81 +2025-11-04 12:58:46,402 ERROR: Encountered non-finite generator loss at iter 17937; skipping update. +2025-11-04 12:58:46,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:46,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.87, max=10.75, mean=-0.1627, std=2.648, absmax=15.87 +2025-11-04 12:58:46,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.59, max=9.691, mean=-0.1443, std=2.456, absmax=14.59 +2025-11-04 12:58:46,761 ERROR: Encountered non-finite generator loss at iter 17938; skipping update. +2025-11-04 12:58:46,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:46,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:46,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.81, mean=-0.2258, std=2.81, absmax=12.65 +2025-11-04 12:58:46,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=10.31, mean=-0.1751, std=2.679, absmax=10.61 +2025-11-04 12:58:47,120 ERROR: Encountered non-finite generator loss at iter 17939; skipping update. +2025-11-04 12:58:47,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:47,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.44, mean=-0.2186, std=3.182, absmax=13.1 +2025-11-04 12:58:47,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=8.997, mean=-0.1981, std=2.902, absmax=11.33 +2025-11-04 12:58:47,478 ERROR: Encountered non-finite generator loss at iter 17940; skipping update. +2025-11-04 12:58:47,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:47,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=15.91, mean=-0.09865, std=3.135, absmax=15.91 +2025-11-04 12:58:47,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.1, max=13.81, mean=-0.1139, std=2.873, absmax=13.81 +2025-11-04 12:58:47,838 ERROR: Encountered non-finite generator loss at iter 17941; skipping update. +2025-11-04 12:58:47,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:47,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:47,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11, mean=-0.1862, std=2.684, absmax=11.67 +2025-11-04 12:58:47,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=9.378, mean=-0.1937, std=2.464, absmax=10.42 +2025-11-04 12:58:48,197 ERROR: Encountered non-finite generator loss at iter 17942; skipping update. +2025-11-04 12:58:48,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:48,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=12.12, mean=-0.1001, std=3.298, absmax=14.62 +2025-11-04 12:58:48,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=11.4, mean=-0.07621, std=3.262, absmax=13.66 +2025-11-04 12:58:48,556 ERROR: Encountered non-finite generator loss at iter 17943; skipping update. +2025-11-04 12:58:48,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:48,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.51, mean=-0.1077, std=2.854, absmax=12.38 +2025-11-04 12:58:48,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=11.12, mean=-0.0993, std=2.747, absmax=11.14 +2025-11-04 12:58:48,916 ERROR: Encountered non-finite generator loss at iter 17944; skipping update. +2025-11-04 12:58:48,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:48,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:48,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=12.04, mean=-0.07407, std=3.142, absmax=14.29 +2025-11-04 12:58:48,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=10.02, mean=-0.1355, std=2.916, absmax=13.08 +2025-11-04 12:58:49,276 ERROR: Encountered non-finite generator loss at iter 17945; skipping update. +2025-11-04 12:58:49,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:49,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=13.24, mean=-0.1454, std=2.661, absmax=13.24 +2025-11-04 12:58:49,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=12.24, mean=-0.1639, std=2.578, absmax=12.24 +2025-11-04 12:58:49,635 ERROR: Encountered non-finite generator loss at iter 17946; skipping update. +2025-11-04 12:58:49,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:49,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=15.62, mean=-0.09997, std=3.087, absmax=15.62 +2025-11-04 12:58:49,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=13.31, mean=-0.1164, std=2.911, absmax=13.31 +2025-11-04 12:58:49,995 ERROR: Encountered non-finite generator loss at iter 17947; skipping update. +2025-11-04 12:58:49,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:49,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:49,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=16.36, mean=-0.06629, std=3.156, absmax=16.36 +2025-11-04 12:58:49,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=11.17, mean=-0.05957, std=2.994, absmax=12.79 +2025-11-04 12:58:50,355 ERROR: Encountered non-finite generator loss at iter 17948; skipping update. +2025-11-04 12:58:50,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:50,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:50,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:50,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:50,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=15.39, mean=-0.0685, std=3.175, absmax=15.39 +2025-11-04 12:58:50,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=14.2, mean=-0.05107, std=2.979, absmax=14.2 +2025-11-04 12:58:50,716 ERROR: Encountered non-finite generator loss at iter 17949; skipping update. +2025-11-04 12:58:50,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:50,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:50,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:50,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:50,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=16.91, mean=-0.1617, std=2.951, absmax=16.91 +2025-11-04 12:58:50,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=13.62, mean=-0.1539, std=2.687, absmax=13.62 +2025-11-04 12:58:51,076 ERROR: Encountered non-finite generator loss at iter 17950; skipping update. +2025-11-04 12:58:51,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:51,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=12.47, mean=-0.09099, std=3.101, absmax=15.08 +2025-11-04 12:58:51,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.6, mean=-0.08316, std=2.903, absmax=12.6 +2025-11-04 12:58:51,436 ERROR: Encountered non-finite generator loss at iter 17951; skipping update. +2025-11-04 12:58:51,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,437 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:51,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=10.55, mean=-0.2439, std=3.153, absmax=13.74 +2025-11-04 12:58:51,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=9.21, mean=-0.2229, std=2.796, absmax=12.49 +2025-11-04 12:58:51,795 ERROR: Encountered non-finite generator loss at iter 17952; skipping update. +2025-11-04 12:58:51,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:51,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:51,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.17, mean=-0.213, std=3.138, absmax=13.41 +2025-11-04 12:58:51,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=10.35, mean=-0.2338, std=2.918, absmax=12.8 +2025-11-04 12:58:52,156 ERROR: Encountered non-finite generator loss at iter 17953; skipping update. +2025-11-04 12:58:52,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:52,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.06, mean=-0.06663, std=3.323, absmax=12.81 +2025-11-04 12:58:52,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=11.21, mean=-0.03295, std=3.033, absmax=12.06 +2025-11-04 12:58:52,516 ERROR: Encountered non-finite generator loss at iter 17954; skipping update. +2025-11-04 12:58:52,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:52,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.32, mean=0.02491, std=3.023, absmax=13.32 +2025-11-04 12:58:52,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.3, mean=0.002603, std=2.887, absmax=12.3 +2025-11-04 12:58:52,876 ERROR: Encountered non-finite generator loss at iter 17955; skipping update. +2025-11-04 12:58:52,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:52,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:52,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.6, mean=-0.3032, std=2.695, absmax=12.34 +2025-11-04 12:58:52,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=9.194, mean=-0.2939, std=2.593, absmax=11.68 +2025-11-04 12:58:53,235 ERROR: Encountered non-finite generator loss at iter 17956; skipping update. +2025-11-04 12:58:53,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:53,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.12, mean=-0.2686, std=3.02, absmax=13.78 +2025-11-04 12:58:53,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.18, mean=-0.2346, std=2.776, absmax=12.37 +2025-11-04 12:58:53,596 ERROR: Encountered non-finite generator loss at iter 17957; skipping update. +2025-11-04 12:58:53,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:53,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=14.26, mean=-0.1689, std=3.196, absmax=14.26 +2025-11-04 12:58:53,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=12.43, mean=-0.188, std=3.06, absmax=12.43 +2025-11-04 12:58:53,956 ERROR: Encountered non-finite generator loss at iter 17958; skipping update. +2025-11-04 12:58:53,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:53,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:53,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=11.43, mean=-0.2007, std=3.408, absmax=12.93 +2025-11-04 12:58:53,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=9.82, mean=-0.1817, std=3.156, absmax=13.65 +2025-11-04 12:58:54,315 ERROR: Encountered non-finite generator loss at iter 17959; skipping update. +2025-11-04 12:58:54,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:54,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:54,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:54,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:54,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=10.85, mean=-0.2701, std=2.128, absmax=10.96 +2025-11-04 12:58:54,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.16, mean=-0.2959, std=2.085, absmax=10.67 +2025-11-04 12:58:54,674 ERROR: Encountered non-finite generator loss at iter 17960; skipping update. +2025-11-04 12:58:54,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:54,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:54,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:54,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:54,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.5, mean=-0.151, std=2.716, absmax=12.34 +2025-11-04 12:58:54,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=9.843, mean=-0.1302, std=2.489, absmax=11.01 +2025-11-04 12:58:55,036 ERROR: Encountered non-finite generator loss at iter 17961; skipping update. +2025-11-04 12:58:55,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:55,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.04, mean=-0.1793, std=3.344, absmax=13.92 +2025-11-04 12:58:55,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=12.18, mean=-0.1653, std=2.987, absmax=13.36 +2025-11-04 12:58:55,396 ERROR: Encountered non-finite generator loss at iter 17962; skipping update. +2025-11-04 12:58:55,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:55,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.51, mean=-0.1418, std=3.297, absmax=13.51 +2025-11-04 12:58:55,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.48, max=12.78, mean=-0.1263, std=3.052, absmax=13.48 +2025-11-04 12:58:55,755 ERROR: Encountered non-finite generator loss at iter 17963; skipping update. +2025-11-04 12:58:55,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:55,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:55,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.15, mean=-0.04357, std=3.129, absmax=12.54 +2025-11-04 12:58:55,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.05, mean=-0.04609, std=2.919, absmax=11.32 +2025-11-04 12:58:56,115 ERROR: Encountered non-finite generator loss at iter 17964; skipping update. +2025-11-04 12:58:56,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:56,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=15.71, mean=-0.2539, std=3.18, absmax=15.71 +2025-11-04 12:58:56,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=14.04, mean=-0.2149, std=2.948, absmax=14.04 +2025-11-04 12:58:56,475 ERROR: Encountered non-finite generator loss at iter 17965; skipping update. +2025-11-04 12:58:56,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:56,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.48, mean=-0.1481, std=3.276, absmax=13.48 +2025-11-04 12:58:56,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=11.51, mean=-0.1363, std=3.075, absmax=11.75 +2025-11-04 12:58:56,835 ERROR: Encountered non-finite generator loss at iter 17966; skipping update. +2025-11-04 12:58:56,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:56,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:56,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=14.42, mean=0.1616, std=3.427, absmax=14.42 +2025-11-04 12:58:56,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.43, mean=0.1139, std=3.132, absmax=12.43 +2025-11-04 12:58:57,197 ERROR: Encountered non-finite generator loss at iter 17967; skipping update. +2025-11-04 12:58:57,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:57,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.1, mean=0.003257, std=3.045, absmax=13.06 +2025-11-04 12:58:57,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=11.28, mean=-0.005214, std=2.831, absmax=12.05 +2025-11-04 12:58:57,556 ERROR: Encountered non-finite generator loss at iter 17968; skipping update. +2025-11-04 12:58:57,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:57,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.57, mean=-0.3215, std=2.773, absmax=12.57 +2025-11-04 12:58:57,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.05, mean=-0.2866, std=2.597, absmax=11.05 +2025-11-04 12:58:57,916 ERROR: Encountered non-finite generator loss at iter 17969; skipping update. +2025-11-04 12:58:57,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:57,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:57,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=13.7, mean=-0.06237, std=2.751, absmax=14.2 +2025-11-04 12:58:57,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=11.54, mean=-0.04473, std=2.631, absmax=12.51 +2025-11-04 12:58:58,275 ERROR: Encountered non-finite generator loss at iter 17970; skipping update. +2025-11-04 12:58:58,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:58,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.71, mean=-0.1982, std=3.022, absmax=14.71 +2025-11-04 12:58:58,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=11.73, mean=-0.2041, std=2.905, absmax=12.39 +2025-11-04 12:58:58,635 ERROR: Encountered non-finite generator loss at iter 17971; skipping update. +2025-11-04 12:58:58,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:58,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.45, mean=-0.01529, std=2.988, absmax=13.45 +2025-11-04 12:58:58,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=12.63, mean=-0.006638, std=2.754, absmax=12.63 +2025-11-04 12:58:58,995 ERROR: Encountered non-finite generator loss at iter 17972; skipping update. +2025-11-04 12:58:58,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:58,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:58,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.84, mean=-0.2194, std=2.783, absmax=13.84 +2025-11-04 12:58:58,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=9.709, mean=-0.1976, std=2.583, absmax=11.22 +2025-11-04 12:58:59,355 ERROR: Encountered non-finite generator loss at iter 17973; skipping update. +2025-11-04 12:58:59,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:59,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:59,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:59,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:59,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=16.16, mean=-0.08001, std=3.281, absmax=16.16 +2025-11-04 12:58:59,358 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=13.66, mean=-0.1035, std=2.977, absmax=13.66 +2025-11-04 12:58:59,716 ERROR: Encountered non-finite generator loss at iter 17974; skipping update. +2025-11-04 12:58:59,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:59,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:58:59,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:58:59,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:58:59,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=16.82, mean=-0.3621, std=3.173, absmax=16.82 +2025-11-04 12:58:59,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.8, max=15.34, mean=-0.3385, std=2.962, absmax=15.34 +2025-11-04 12:59:00,076 ERROR: Encountered non-finite generator loss at iter 17975; skipping update. +2025-11-04 12:59:00,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,077 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:00,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.7, mean=-0.2745, std=2.622, absmax=12.9 +2025-11-04 12:59:00,078 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.38, max=10.71, mean=-0.2704, std=2.568, absmax=13.38 +2025-11-04 12:59:00,435 ERROR: Encountered non-finite generator loss at iter 17976; skipping update. +2025-11-04 12:59:00,436 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,437 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,437 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:00,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.67, mean=-0.08512, std=3.486, absmax=13.67 +2025-11-04 12:59:00,438 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.34, mean=-0.04762, std=3.154, absmax=12.34 +2025-11-04 12:59:00,795 ERROR: Encountered non-finite generator loss at iter 17977; skipping update. +2025-11-04 12:59:00,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:00,797 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:00,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.6, mean=-0.002816, std=3.024, absmax=13.41 +2025-11-04 12:59:00,798 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.32, mean=0.02767, std=2.861, absmax=12.32 +2025-11-04 12:59:01,155 ERROR: Encountered non-finite generator loss at iter 17978; skipping update. +2025-11-04 12:59:01,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:01,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.09, mean=-0.1573, std=3.085, absmax=13.35 +2025-11-04 12:59:01,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.86, mean=-0.109, std=2.767, absmax=11.35 +2025-11-04 12:59:01,515 ERROR: Encountered non-finite generator loss at iter 17979; skipping update. +2025-11-04 12:59:01,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,517 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:01,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=15.16, mean=0.01636, std=3.652, absmax=15.16 +2025-11-04 12:59:01,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.77, mean=0.006005, std=3.277, absmax=12.77 +2025-11-04 12:59:01,875 ERROR: Encountered non-finite generator loss at iter 17980; skipping update. +2025-11-04 12:59:01,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:01,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:01,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.61, mean=0.02254, std=3.44, absmax=13.74 +2025-11-04 12:59:01,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=13.47, mean=0.05728, std=3.336, absmax=13.47 +2025-11-04 12:59:02,235 ERROR: Encountered non-finite generator loss at iter 17981; skipping update. +2025-11-04 12:59:02,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:02,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14.85, mean=-0.1848, std=2.715, absmax=14.85 +2025-11-04 12:59:02,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=13.97, mean=-0.1924, std=2.522, absmax=13.97 +2025-11-04 12:59:02,595 ERROR: Encountered non-finite generator loss at iter 17982; skipping update. +2025-11-04 12:59:02,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:02,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.32, mean=-0.04082, std=3.47, absmax=13.48 +2025-11-04 12:59:02,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.9, mean=-0.03238, std=3.26, absmax=11.9 +2025-11-04 12:59:02,955 ERROR: Encountered non-finite generator loss at iter 17983; skipping update. +2025-11-04 12:59:02,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:02,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:02,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=19.28, mean=-0.09012, std=3.273, absmax=19.28 +2025-11-04 12:59:02,957 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=18.28, mean=-0.07039, std=2.982, absmax=18.28 +2025-11-04 12:59:03,315 ERROR: Encountered non-finite generator loss at iter 17984; skipping update. +2025-11-04 12:59:03,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:03,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:03,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:03,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:03,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.55, mean=-0.3066, std=3.585, absmax=13.59 +2025-11-04 12:59:03,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=10.44, mean=-0.2556, std=3.348, absmax=12.61 +2025-11-04 12:59:03,675 ERROR: Encountered non-finite generator loss at iter 17985; skipping update. +2025-11-04 12:59:03,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:03,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:03,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:03,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:03,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.35, mean=-0.15, std=3.213, absmax=13.35 +2025-11-04 12:59:03,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=11.46, mean=-0.1358, std=2.9, absmax=12.27 +2025-11-04 12:59:04,035 ERROR: Encountered non-finite generator loss at iter 17986; skipping update. +2025-11-04 12:59:04,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:04,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.45, max=13.71, mean=0.07438, std=2.914, absmax=13.71 +2025-11-04 12:59:04,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.94, mean=0.03532, std=2.668, absmax=11.94 +2025-11-04 12:59:04,395 ERROR: Encountered non-finite generator loss at iter 17987; skipping update. +2025-11-04 12:59:04,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:04,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=11.41, mean=-0.2567, std=2.506, absmax=11.41 +2025-11-04 12:59:04,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.615, max=9.78, mean=-0.249, std=2.482, absmax=9.78 +2025-11-04 12:59:04,755 ERROR: Encountered non-finite generator loss at iter 17988; skipping update. +2025-11-04 12:59:04,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:04,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:04,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.46, max=10.72, mean=-0.2273, std=2.253, absmax=10.72 +2025-11-04 12:59:04,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.486, max=10.63, mean=-0.1884, std=2.158, absmax=10.63 +2025-11-04 12:59:05,115 ERROR: Encountered non-finite generator loss at iter 17989; skipping update. +2025-11-04 12:59:05,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:05,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.64, mean=-0.2251, std=3.076, absmax=12.97 +2025-11-04 12:59:05,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=10.55, mean=-0.2736, std=2.885, absmax=12.24 +2025-11-04 12:59:05,476 ERROR: Encountered non-finite generator loss at iter 17990; skipping update. +2025-11-04 12:59:05,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:05,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=12.23, mean=-0.1353, std=2.754, absmax=12.23 +2025-11-04 12:59:05,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=10.82, mean=-0.1259, std=2.551, absmax=10.82 +2025-11-04 12:59:05,835 ERROR: Encountered non-finite generator loss at iter 17991; skipping update. +2025-11-04 12:59:05,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:05,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:05,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.05, mean=-0.3702, std=3.202, absmax=13.47 +2025-11-04 12:59:05,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.96, max=9.994, mean=-0.3356, std=3.033, absmax=12.96 +2025-11-04 12:59:06,195 ERROR: Encountered non-finite generator loss at iter 17992; skipping update. +2025-11-04 12:59:06,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:06,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.25, mean=-0.2024, std=3.471, absmax=14.25 +2025-11-04 12:59:06,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=12.59, mean=-0.1539, std=3.263, absmax=12.59 +2025-11-04 12:59:06,555 ERROR: Encountered non-finite generator loss at iter 17993; skipping update. +2025-11-04 12:59:06,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:06,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.95, mean=0.04741, std=2.736, absmax=12.95 +2025-11-04 12:59:06,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.791, max=10.83, mean=0.03368, std=2.529, absmax=10.83 +2025-11-04 12:59:06,916 ERROR: Encountered non-finite generator loss at iter 17994; skipping update. +2025-11-04 12:59:06,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:06,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:06,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=13.91, mean=0.006666, std=3.142, absmax=13.91 +2025-11-04 12:59:06,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=12.68, mean=-0.005548, std=2.926, absmax=12.68 +2025-11-04 12:59:07,276 ERROR: Encountered non-finite generator loss at iter 17995; skipping update. +2025-11-04 12:59:07,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:07,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.85, mean=-0.09945, std=3.074, absmax=13.19 +2025-11-04 12:59:07,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=10.36, mean=-0.07496, std=2.815, absmax=11.85 +2025-11-04 12:59:07,635 ERROR: Encountered non-finite generator loss at iter 17996; skipping update. +2025-11-04 12:59:07,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:07,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.09, mean=-0.3046, std=3.651, absmax=13.73 +2025-11-04 12:59:07,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=10.73, mean=-0.2702, std=3.462, absmax=13.18 +2025-11-04 12:59:07,995 ERROR: Encountered non-finite generator loss at iter 17997; skipping update. +2025-11-04 12:59:07,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:07,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:07,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=16.48, mean=-0.1041, std=3.129, absmax=16.48 +2025-11-04 12:59:07,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=15.55, mean=-0.08723, std=2.885, absmax=15.55 +2025-11-04 12:59:08,355 ERROR: Encountered non-finite generator loss at iter 17998; skipping update. +2025-11-04 12:59:08,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:08,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:08,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:08,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:08,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=11.74, mean=-0.2214, std=3.337, absmax=13.55 +2025-11-04 12:59:08,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=11.24, mean=-0.1803, std=3.084, absmax=12.63 +2025-11-04 12:59:08,716 ERROR: Encountered non-finite generator loss at iter 17999; skipping update. +2025-11-04 12:59:08,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:08,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:08,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:08,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:08,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.94, mean=0.0008733, std=3.473, absmax=13.97 +2025-11-04 12:59:08,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=12.92, mean=0.0189, std=3.188, absmax=12.92 +2025-11-04 12:59:09,076 ERROR: Encountered non-finite generator loss at iter 18000; skipping update. +2025-11-04 12:59:09,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:09,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.97, mean=-0.3266, std=2.885, absmax=13.37 +2025-11-04 12:59:09,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=10.47, mean=-0.3069, std=2.633, absmax=11.96 +2025-11-04 12:59:09,079 INFO: [38..][epoch: 0, step: 18,000, lr:(2.000e-04,)] [eta: 1 day, 11:39:23, time (data): 0.360 (0.000)] +2025-11-04 12:59:09,436 ERROR: Encountered non-finite generator loss at iter 18001; skipping update. +2025-11-04 12:59:09,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:09,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.67, max=19.87, mean=-0.2273, std=3.609, absmax=19.87 +2025-11-04 12:59:09,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=16.38, mean=-0.2258, std=3.309, absmax=16.38 +2025-11-04 12:59:09,796 ERROR: Encountered non-finite generator loss at iter 18002; skipping update. +2025-11-04 12:59:09,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:09,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:09,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.68, mean=-0.01542, std=3.898, absmax=13.68 +2025-11-04 12:59:09,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=14.12, mean=0.04551, std=3.768, absmax=14.12 +2025-11-04 12:59:10,155 ERROR: Encountered non-finite generator loss at iter 18003; skipping update. +2025-11-04 12:59:10,156 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:10,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=11.21, mean=0.07183, std=2.888, absmax=11.21 +2025-11-04 12:59:10,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=10.62, mean=0.125, std=2.792, absmax=10.65 +2025-11-04 12:59:10,515 ERROR: Encountered non-finite generator loss at iter 18004; skipping update. +2025-11-04 12:59:10,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:10,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.5, mean=-0.0498, std=2.887, absmax=13.5 +2025-11-04 12:59:10,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.81, mean=-0.08635, std=2.737, absmax=12.81 +2025-11-04 12:59:10,875 ERROR: Encountered non-finite generator loss at iter 18005; skipping update. +2025-11-04 12:59:10,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:10,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:10,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=16.6, mean=0.168, std=3.453, absmax=16.6 +2025-11-04 12:59:10,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=14.51, mean=0.141, std=3.22, absmax=14.51 +2025-11-04 12:59:11,237 ERROR: Encountered non-finite generator loss at iter 18006; skipping update. +2025-11-04 12:59:11,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:11,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=13.54, mean=-0.1012, std=2.68, absmax=14.21 +2025-11-04 12:59:11,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=11.83, mean=-0.05735, std=2.66, absmax=11.83 +2025-11-04 12:59:11,597 ERROR: Encountered non-finite generator loss at iter 18007; skipping update. +2025-11-04 12:59:11,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:11,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=12.81, mean=-0.09292, std=2.969, absmax=12.81 +2025-11-04 12:59:11,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=12.11, mean=-0.06162, std=2.876, absmax=12.11 +2025-11-04 12:59:11,957 ERROR: Encountered non-finite generator loss at iter 18008; skipping update. +2025-11-04 12:59:11,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:11,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:11,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=13.56, mean=-0.1041, std=3.025, absmax=13.56 +2025-11-04 12:59:11,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.88, mean=-0.08157, std=2.864, absmax=12.88 +2025-11-04 12:59:12,316 ERROR: Encountered non-finite generator loss at iter 18009; skipping update. +2025-11-04 12:59:12,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:12,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:12,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:12,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:12,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=11.74, mean=-0.3057, std=2.48, absmax=11.74 +2025-11-04 12:59:12,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.804, max=9.619, mean=-0.2831, std=2.449, absmax=9.804 +2025-11-04 12:59:12,676 ERROR: Encountered non-finite generator loss at iter 18010; skipping update. +2025-11-04 12:59:12,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:12,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:12,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:12,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:12,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.99, max=12.88, mean=-0.2223, std=2.825, absmax=15.99 +2025-11-04 12:59:12,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=11.35, mean=-0.2552, std=2.702, absmax=11.97 +2025-11-04 12:59:13,036 ERROR: Encountered non-finite generator loss at iter 18011; skipping update. +2025-11-04 12:59:13,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:13,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.52, mean=-0.1568, std=3.098, absmax=13.73 +2025-11-04 12:59:13,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=12.12, mean=-0.1253, std=2.908, absmax=13.42 +2025-11-04 12:59:13,396 ERROR: Encountered non-finite generator loss at iter 18012; skipping update. +2025-11-04 12:59:13,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:13,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=14.35, mean=-0.002605, std=2.998, absmax=14.35 +2025-11-04 12:59:13,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=13.5, mean=0.01208, std=2.756, absmax=13.5 +2025-11-04 12:59:13,755 ERROR: Encountered non-finite generator loss at iter 18013; skipping update. +2025-11-04 12:59:13,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:13,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:13,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=11.25, mean=-0.1549, std=2.398, absmax=12.06 +2025-11-04 12:59:13,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=9.102, mean=-0.1301, std=2.248, absmax=10.04 +2025-11-04 12:59:14,116 ERROR: Encountered non-finite generator loss at iter 18014; skipping update. +2025-11-04 12:59:14,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:14,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=14.45, mean=-0.003429, std=3.118, absmax=14.45 +2025-11-04 12:59:14,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=13.82, mean=-0.02724, std=2.898, absmax=13.82 +2025-11-04 12:59:14,476 ERROR: Encountered non-finite generator loss at iter 18015; skipping update. +2025-11-04 12:59:14,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:14,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.22, mean=-0.3359, std=2.642, absmax=12.22 +2025-11-04 12:59:14,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=9.496, mean=-0.3093, std=2.504, absmax=10.41 +2025-11-04 12:59:14,836 ERROR: Encountered non-finite generator loss at iter 18016; skipping update. +2025-11-04 12:59:14,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:14,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:14,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=10.87, mean=-0.2468, std=2.674, absmax=12.41 +2025-11-04 12:59:14,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=9.795, mean=-0.2019, std=2.521, absmax=10.86 +2025-11-04 12:59:15,196 ERROR: Encountered non-finite generator loss at iter 18017; skipping update. +2025-11-04 12:59:15,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:15,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=15.97, mean=-0.06247, std=3.816, absmax=15.97 +2025-11-04 12:59:15,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.63, max=14.4, mean=-0.05661, std=3.632, absmax=14.4 +2025-11-04 12:59:15,556 ERROR: Encountered non-finite generator loss at iter 18018; skipping update. +2025-11-04 12:59:15,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:15,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=15.46, mean=0.1181, std=3.142, absmax=15.46 +2025-11-04 12:59:15,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=12.85, mean=0.04618, std=2.826, absmax=12.85 +2025-11-04 12:59:15,916 ERROR: Encountered non-finite generator loss at iter 18019; skipping update. +2025-11-04 12:59:15,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:15,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:15,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.79, mean=-0.1399, std=2.835, absmax=11.79 +2025-11-04 12:59:15,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.36, mean=-0.1378, std=2.655, absmax=11.14 +2025-11-04 12:59:16,276 ERROR: Encountered non-finite generator loss at iter 18020; skipping update. +2025-11-04 12:59:16,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:16,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.17, mean=-0.2162, std=3.34, absmax=14.17 +2025-11-04 12:59:16,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=12.35, mean=-0.1858, std=3.051, absmax=12.35 +2025-11-04 12:59:16,636 ERROR: Encountered non-finite generator loss at iter 18021; skipping update. +2025-11-04 12:59:16,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:16,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.49, mean=-0.07323, std=3.529, absmax=13.73 +2025-11-04 12:59:16,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.48, max=12.38, mean=-0.113, std=3.27, absmax=13.48 +2025-11-04 12:59:16,996 ERROR: Encountered non-finite generator loss at iter 18022; skipping update. +2025-11-04 12:59:16,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:16,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:16,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=10.32, mean=-0.3337, std=2.751, absmax=12.79 +2025-11-04 12:59:16,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=8.896, mean=-0.3142, std=2.474, absmax=10.94 +2025-11-04 12:59:17,356 ERROR: Encountered non-finite generator loss at iter 18023; skipping update. +2025-11-04 12:59:17,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:17,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:17,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:17,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:17,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.68, mean=-0.2897, std=2.852, absmax=13.13 +2025-11-04 12:59:17,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=9.585, mean=-0.2923, std=2.702, absmax=11.43 +2025-11-04 12:59:17,716 ERROR: Encountered non-finite generator loss at iter 18024; skipping update. +2025-11-04 12:59:17,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:17,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:17,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:17,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:17,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=12.86, mean=-0.2158, std=2.492, absmax=12.86 +2025-11-04 12:59:17,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.609, max=10.03, mean=-0.2222, std=2.262, absmax=10.03 +2025-11-04 12:59:18,076 ERROR: Encountered non-finite generator loss at iter 18025; skipping update. +2025-11-04 12:59:18,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:18,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.56, mean=-0.1392, std=2.632, absmax=11.56 +2025-11-04 12:59:18,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=11.2, mean=-0.1489, std=2.511, absmax=11.2 +2025-11-04 12:59:18,436 ERROR: Encountered non-finite generator loss at iter 18026; skipping update. +2025-11-04 12:59:18,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:18,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.15, mean=-0.1038, std=3.527, absmax=14.15 +2025-11-04 12:59:18,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=13.83, mean=-0.1059, std=3.198, absmax=13.83 +2025-11-04 12:59:18,796 ERROR: Encountered non-finite generator loss at iter 18027; skipping update. +2025-11-04 12:59:18,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:18,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:18,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=14.91, mean=-0.3683, std=2.955, absmax=14.91 +2025-11-04 12:59:18,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.45, max=10.62, mean=-0.3359, std=2.817, absmax=15.45 +2025-11-04 12:59:19,155 ERROR: Encountered non-finite generator loss at iter 18028; skipping update. +2025-11-04 12:59:19,156 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:19,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=15.18, mean=0.3673, std=4.035, absmax=15.18 +2025-11-04 12:59:19,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=13.6, mean=0.378, std=3.674, absmax=13.6 +2025-11-04 12:59:19,516 ERROR: Encountered non-finite generator loss at iter 18029; skipping update. +2025-11-04 12:59:19,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:19,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.44, mean=-0.2439, std=3.243, absmax=13.44 +2025-11-04 12:59:19,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.95, mean=-0.1889, std=2.989, absmax=12.95 +2025-11-04 12:59:19,876 ERROR: Encountered non-finite generator loss at iter 18030; skipping update. +2025-11-04 12:59:19,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:19,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:19,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=12.31, mean=-0.02822, std=2.9, absmax=12.31 +2025-11-04 12:59:19,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.75, mean=-0.0494, std=2.722, absmax=11.75 +2025-11-04 12:59:20,236 ERROR: Encountered non-finite generator loss at iter 18031; skipping update. +2025-11-04 12:59:20,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:20,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=11.22, mean=-0.2793, std=3.073, absmax=13.44 +2025-11-04 12:59:20,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=12.17, mean=-0.2323, std=2.839, absmax=12.17 +2025-11-04 12:59:20,596 ERROR: Encountered non-finite generator loss at iter 18032; skipping update. +2025-11-04 12:59:20,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:20,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=13.13, mean=-0.09615, std=2.685, absmax=13.13 +2025-11-04 12:59:20,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.83, mean=-0.05389, std=2.542, absmax=11.83 +2025-11-04 12:59:20,955 ERROR: Encountered non-finite generator loss at iter 18033; skipping update. +2025-11-04 12:59:20,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:20,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:20,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=11.42, mean=-0.3269, std=3.052, absmax=14.46 +2025-11-04 12:59:20,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.3, max=11.13, mean=-0.2968, std=2.86, absmax=14.3 +2025-11-04 12:59:21,316 ERROR: Encountered non-finite generator loss at iter 18034; skipping update. +2025-11-04 12:59:21,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:21,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:21,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:21,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:21,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.81, mean=-0.2539, std=2.893, absmax=13.81 +2025-11-04 12:59:21,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=11.42, mean=-0.2699, std=2.726, absmax=11.61 +2025-11-04 12:59:21,676 ERROR: Encountered non-finite generator loss at iter 18035; skipping update. +2025-11-04 12:59:21,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:21,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:21,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:21,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:21,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.87, mean=0.01706, std=2.969, absmax=14.87 +2025-11-04 12:59:21,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=11.87, mean=0.0212, std=2.768, absmax=13.69 +2025-11-04 12:59:22,036 ERROR: Encountered non-finite generator loss at iter 18036; skipping update. +2025-11-04 12:59:22,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:22,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.84, mean=-0.1851, std=3.317, absmax=13.84 +2025-11-04 12:59:22,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.74, mean=-0.1204, std=2.999, absmax=11.74 +2025-11-04 12:59:22,396 ERROR: Encountered non-finite generator loss at iter 18037; skipping update. +2025-11-04 12:59:22,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:22,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.23, mean=-0.2731, std=3.196, absmax=12.42 +2025-11-04 12:59:22,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=10.28, mean=-0.2409, std=2.983, absmax=12.99 +2025-11-04 12:59:22,755 ERROR: Encountered non-finite generator loss at iter 18038; skipping update. +2025-11-04 12:59:22,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:22,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:22,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12, mean=-0.2271, std=2.64, absmax=12 +2025-11-04 12:59:22,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=10.2, mean=-0.19, std=2.482, absmax=10.41 +2025-11-04 12:59:23,115 ERROR: Encountered non-finite generator loss at iter 18039; skipping update. +2025-11-04 12:59:23,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:23,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=11.37, mean=-0.15, std=2.757, absmax=11.37 +2025-11-04 12:59:23,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=9.841, mean=-0.09939, std=2.593, absmax=11.08 +2025-11-04 12:59:23,476 ERROR: Encountered non-finite generator loss at iter 18040; skipping update. +2025-11-04 12:59:23,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:23,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.68, mean=0.1143, std=3.829, absmax=13.81 +2025-11-04 12:59:23,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=12.28, mean=0.1089, std=3.612, absmax=13.06 +2025-11-04 12:59:23,835 ERROR: Encountered non-finite generator loss at iter 18041; skipping update. +2025-11-04 12:59:23,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:23,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:23,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.53, mean=-0.3173, std=3.158, absmax=12.53 +2025-11-04 12:59:23,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=10.88, mean=-0.2995, std=2.934, absmax=11.09 +2025-11-04 12:59:24,196 ERROR: Encountered non-finite generator loss at iter 18042; skipping update. +2025-11-04 12:59:24,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:24,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.87, mean=-0.01387, std=3.874, absmax=13.87 +2025-11-04 12:59:24,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=13.87, mean=0.01518, std=3.657, absmax=13.87 +2025-11-04 12:59:24,555 ERROR: Encountered non-finite generator loss at iter 18043; skipping update. +2025-11-04 12:59:24,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:24,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=14.5, mean=-0.1551, std=2.692, absmax=14.5 +2025-11-04 12:59:24,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=12.52, mean=-0.1559, std=2.389, absmax=12.52 +2025-11-04 12:59:24,916 ERROR: Encountered non-finite generator loss at iter 18044; skipping update. +2025-11-04 12:59:24,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:24,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:24,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.67, mean=-0.09608, std=2.889, absmax=12.67 +2025-11-04 12:59:24,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.21, mean=-0.09125, std=2.663, absmax=11.21 +2025-11-04 12:59:25,276 ERROR: Encountered non-finite generator loss at iter 18045; skipping update. +2025-11-04 12:59:25,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:25,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.68, mean=-0.003564, std=3.043, absmax=12.68 +2025-11-04 12:59:25,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.05, mean=-0.008791, std=2.849, absmax=12.05 +2025-11-04 12:59:25,636 ERROR: Encountered non-finite generator loss at iter 18046; skipping update. +2025-11-04 12:59:25,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:25,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.67, mean=-0.266, std=2.895, absmax=12.67 +2025-11-04 12:59:25,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=10.65, mean=-0.2517, std=2.688, absmax=11.85 +2025-11-04 12:59:25,996 ERROR: Encountered non-finite generator loss at iter 18047; skipping update. +2025-11-04 12:59:25,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:25,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:25,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.95, mean=-0.2348, std=3.7, absmax=14.28 +2025-11-04 12:59:26,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=12.6, mean=-0.2029, std=3.437, absmax=12.6 +2025-11-04 12:59:26,356 ERROR: Encountered non-finite generator loss at iter 18048; skipping update. +2025-11-04 12:59:26,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:26,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:26,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:26,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:26,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.33, mean=-0.2754, std=2.697, absmax=14.33 +2025-11-04 12:59:26,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=12.59, mean=-0.2535, std=2.468, absmax=12.59 +2025-11-04 12:59:26,716 ERROR: Encountered non-finite generator loss at iter 18049; skipping update. +2025-11-04 12:59:26,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:26,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:26,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:26,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:26,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.89, mean=-0.218, std=2.797, absmax=12.89 +2025-11-04 12:59:26,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=10.73, mean=-0.1898, std=2.444, absmax=10.73 +2025-11-04 12:59:27,076 ERROR: Encountered non-finite generator loss at iter 18050; skipping update. +2025-11-04 12:59:27,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:27,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.35, mean=-0.1152, std=3.045, absmax=14.35 +2025-11-04 12:59:27,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=14.36, mean=-0.09513, std=2.857, absmax=14.36 +2025-11-04 12:59:27,436 ERROR: Encountered non-finite generator loss at iter 18051; skipping update. +2025-11-04 12:59:27,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:27,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.8, mean=-0.07596, std=2.561, absmax=14.8 +2025-11-04 12:59:27,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=10.51, mean=-0.09474, std=2.331, absmax=10.59 +2025-11-04 12:59:27,796 ERROR: Encountered non-finite generator loss at iter 18052; skipping update. +2025-11-04 12:59:27,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:27,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:27,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.82, mean=-0.2608, std=2.766, absmax=11.94 +2025-11-04 12:59:27,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.47, mean=-0.2794, std=2.652, absmax=11.35 +2025-11-04 12:59:28,156 ERROR: Encountered non-finite generator loss at iter 18053; skipping update. +2025-11-04 12:59:28,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:28,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.57, mean=-0.2909, std=2.992, absmax=12.57 +2025-11-04 12:59:28,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=11.31, mean=-0.3002, std=2.713, absmax=11.61 +2025-11-04 12:59:28,515 ERROR: Encountered non-finite generator loss at iter 18054; skipping update. +2025-11-04 12:59:28,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:28,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.73, mean=-0.1464, std=2.754, absmax=12.73 +2025-11-04 12:59:28,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.54, mean=-0.158, std=2.586, absmax=11.86 +2025-11-04 12:59:28,875 ERROR: Encountered non-finite generator loss at iter 18055; skipping update. +2025-11-04 12:59:28,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:28,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:28,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-20.43, max=17.69, mean=-0.3803, std=3.413, absmax=20.43 +2025-11-04 12:59:28,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.92, max=16.43, mean=-0.3487, std=3.141, absmax=16.92 +2025-11-04 12:59:29,236 ERROR: Encountered non-finite generator loss at iter 18056; skipping update. +2025-11-04 12:59:29,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:29,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=10.83, mean=-0.3774, std=2.968, absmax=13.49 +2025-11-04 12:59:29,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.97, mean=-0.329, std=2.825, absmax=11.69 +2025-11-04 12:59:29,595 ERROR: Encountered non-finite generator loss at iter 18057; skipping update. +2025-11-04 12:59:29,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:29,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=13.45, mean=-0.2408, std=2.712, absmax=14.48 +2025-11-04 12:59:29,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=10.54, mean=-0.2049, std=2.586, absmax=12.64 +2025-11-04 12:59:29,955 ERROR: Encountered non-finite generator loss at iter 18058; skipping update. +2025-11-04 12:59:29,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:29,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:29,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.74, mean=-0.1332, std=3.169, absmax=14.74 +2025-11-04 12:59:29,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=12.57, mean=-0.115, std=2.861, absmax=12.57 +2025-11-04 12:59:30,316 ERROR: Encountered non-finite generator loss at iter 18059; skipping update. +2025-11-04 12:59:30,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:30,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:30,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:30,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:30,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.42, mean=-0.1201, std=3.022, absmax=12.88 +2025-11-04 12:59:30,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.35, max=10.63, mean=-0.1216, std=2.875, absmax=13.35 +2025-11-04 12:59:30,676 ERROR: Encountered non-finite generator loss at iter 18060; skipping update. +2025-11-04 12:59:30,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:30,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:30,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:30,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:30,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.33, mean=-0.1104, std=3.122, absmax=13.42 +2025-11-04 12:59:30,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=12.06, mean=-0.1356, std=2.877, absmax=12.8 +2025-11-04 12:59:31,036 ERROR: Encountered non-finite generator loss at iter 18061; skipping update. +2025-11-04 12:59:31,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:31,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=13.24, mean=-0.3068, std=2.842, absmax=14.2 +2025-11-04 12:59:31,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.79, max=11.65, mean=-0.278, std=2.629, absmax=13.79 +2025-11-04 12:59:31,396 ERROR: Encountered non-finite generator loss at iter 18062; skipping update. +2025-11-04 12:59:31,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:31,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.5, mean=-0.03506, std=2.442, absmax=13.5 +2025-11-04 12:59:31,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=12.51, mean=-0.07747, std=2.273, absmax=12.51 +2025-11-04 12:59:31,756 ERROR: Encountered non-finite generator loss at iter 18063; skipping update. +2025-11-04 12:59:31,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:31,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:31,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=15.47, mean=-0.2183, std=3.211, absmax=15.47 +2025-11-04 12:59:31,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.51, mean=-0.2488, std=2.912, absmax=13.51 +2025-11-04 12:59:32,118 ERROR: Encountered non-finite generator loss at iter 18064; skipping update. +2025-11-04 12:59:32,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:32,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=15.24, mean=-0.2324, std=2.979, absmax=15.24 +2025-11-04 12:59:32,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=15.19, mean=-0.226, std=2.852, absmax=15.19 +2025-11-04 12:59:32,481 ERROR: Encountered non-finite generator loss at iter 18065; skipping update. +2025-11-04 12:59:32,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:32,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=10.71, mean=-0.217, std=2.541, absmax=12.43 +2025-11-04 12:59:32,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=9.482, mean=-0.1734, std=2.4, absmax=11.46 +2025-11-04 12:59:32,844 ERROR: Encountered non-finite generator loss at iter 18066; skipping update. +2025-11-04 12:59:32,845 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,846 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:32,846 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:32,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.18, mean=-0.1927, std=2.943, absmax=13.18 +2025-11-04 12:59:32,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=11.45, mean=-0.1442, std=2.818, absmax=11.85 +2025-11-04 12:59:33,206 ERROR: Encountered non-finite generator loss at iter 18067; skipping update. +2025-11-04 12:59:33,207 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,208 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,208 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:33,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.43, mean=-0.1523, std=2.811, absmax=12.03 +2025-11-04 12:59:33,210 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=9.73, mean=-0.2087, std=2.696, absmax=11.41 +2025-11-04 12:59:33,569 ERROR: Encountered non-finite generator loss at iter 18068; skipping update. +2025-11-04 12:59:33,570 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,571 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:33,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=13.84, mean=-0.1172, std=3.234, absmax=14.58 +2025-11-04 12:59:33,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.29, mean=-0.103, std=3.022, absmax=11.6 +2025-11-04 12:59:33,931 ERROR: Encountered non-finite generator loss at iter 18069; skipping update. +2025-11-04 12:59:33,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:33,934 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:33,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.82, mean=-0.1752, std=3.15, absmax=13.78 +2025-11-04 12:59:33,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=11.49, mean=-0.2071, std=2.925, absmax=12.69 +2025-11-04 12:59:34,295 ERROR: Encountered non-finite generator loss at iter 18070; skipping update. +2025-11-04 12:59:34,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:34,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:34,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:34,297 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:34,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.76, mean=-0.3242, std=2.832, absmax=12.72 +2025-11-04 12:59:34,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=10.09, mean=-0.3313, std=2.68, absmax=11.22 +2025-11-04 12:59:34,657 ERROR: Encountered non-finite generator loss at iter 18071; skipping update. +2025-11-04 12:59:34,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:34,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:34,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:34,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:34,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.93, mean=-0.08352, std=3.291, absmax=12.93 +2025-11-04 12:59:34,661 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.13, mean=-0.0738, std=3.009, absmax=12.13 +2025-11-04 12:59:35,019 ERROR: Encountered non-finite generator loss at iter 18072; skipping update. +2025-11-04 12:59:35,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,021 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,022 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:35,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=13.02, mean=-0.102, std=3.246, absmax=14.33 +2025-11-04 12:59:35,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.97, mean=-0.09088, std=2.951, absmax=11.76 +2025-11-04 12:59:35,382 ERROR: Encountered non-finite generator loss at iter 18073; skipping update. +2025-11-04 12:59:35,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:35,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.13, mean=-0.07096, std=3.156, absmax=13.32 +2025-11-04 12:59:35,386 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=11.97, mean=-0.06669, std=2.946, absmax=13.19 +2025-11-04 12:59:35,744 ERROR: Encountered non-finite generator loss at iter 18074; skipping update. +2025-11-04 12:59:35,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:35,747 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:35,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.89, mean=-0.00299, std=3.048, absmax=12.14 +2025-11-04 12:59:35,748 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=9.083, mean=-0.02103, std=2.732, absmax=11.06 +2025-11-04 12:59:36,106 ERROR: Encountered non-finite generator loss at iter 18075; skipping update. +2025-11-04 12:59:36,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:36,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.95, mean=0.09601, std=3.403, absmax=13.95 +2025-11-04 12:59:36,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.51, mean=0.1049, std=3.084, absmax=12.51 +2025-11-04 12:59:36,467 ERROR: Encountered non-finite generator loss at iter 18076; skipping update. +2025-11-04 12:59:36,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:36,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.57, mean=-0.138, std=2.66, absmax=12.57 +2025-11-04 12:59:36,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.36, mean=-0.1158, std=2.489, absmax=11.36 +2025-11-04 12:59:36,830 ERROR: Encountered non-finite generator loss at iter 18077; skipping update. +2025-11-04 12:59:36,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,833 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:36,833 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:36,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=13.25, mean=0.03466, std=3.727, absmax=13.25 +2025-11-04 12:59:36,834 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.64, mean=0.005003, std=3.427, absmax=12.52 +2025-11-04 12:59:37,192 ERROR: Encountered non-finite generator loss at iter 18078; skipping update. +2025-11-04 12:59:37,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:37,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=15.64, mean=-0.2718, std=3.26, absmax=15.64 +2025-11-04 12:59:37,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=12.42, mean=-0.2209, std=3.021, absmax=12.7 +2025-11-04 12:59:37,554 ERROR: Encountered non-finite generator loss at iter 18079; skipping update. +2025-11-04 12:59:37,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:37,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=16.3, mean=-0.07, std=3.079, absmax=16.3 +2025-11-04 12:59:37,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=13.42, mean=-0.04848, std=2.818, absmax=13.42 +2025-11-04 12:59:37,917 ERROR: Encountered non-finite generator loss at iter 18080; skipping update. +2025-11-04 12:59:37,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:37,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:37,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=15.46, mean=0.274, std=4.026, absmax=15.46 +2025-11-04 12:59:37,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=14.47, mean=0.2771, std=3.668, absmax=14.47 +2025-11-04 12:59:38,280 ERROR: Encountered non-finite generator loss at iter 18081; skipping update. +2025-11-04 12:59:38,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:38,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:38,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:38,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:38,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.74, mean=0.06104, std=3.346, absmax=13.74 +2025-11-04 12:59:38,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=12.45, mean=0.04973, std=3.165, absmax=12.93 +2025-11-04 12:59:38,642 ERROR: Encountered non-finite generator loss at iter 18082; skipping update. +2025-11-04 12:59:38,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:38,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:38,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:38,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:38,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=13.8, mean=-0.04898, std=3.075, absmax=14.4 +2025-11-04 12:59:38,646 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=13.28, mean=-0.008053, std=2.85, absmax=13.28 +2025-11-04 12:59:39,004 ERROR: Encountered non-finite generator loss at iter 18083; skipping update. +2025-11-04 12:59:39,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:39,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=15.18, mean=-0.2594, std=3.204, absmax=15.18 +2025-11-04 12:59:39,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.8, max=14.01, mean=-0.2692, std=3.098, absmax=14.01 +2025-11-04 12:59:39,367 ERROR: Encountered non-finite generator loss at iter 18084; skipping update. +2025-11-04 12:59:39,368 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,369 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,369 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:39,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.96, mean=-0.1212, std=3.277, absmax=13.24 +2025-11-04 12:59:39,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=11.67, mean=-0.1299, std=3.051, absmax=12.29 +2025-11-04 12:59:39,730 ERROR: Encountered non-finite generator loss at iter 18085; skipping update. +2025-11-04 12:59:39,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:39,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:39,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.79, mean=-0.1884, std=3.079, absmax=12.99 +2025-11-04 12:59:39,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.15, mean=-0.182, std=2.864, absmax=11.59 +2025-11-04 12:59:40,093 ERROR: Encountered non-finite generator loss at iter 18086; skipping update. +2025-11-04 12:59:40,095 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,096 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,096 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:40,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.57, max=13.11, mean=-0.08219, std=3.137, absmax=16.57 +2025-11-04 12:59:40,097 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.35, max=12.14, mean=-0.05692, std=3.01, absmax=15.35 +2025-11-04 12:59:40,456 ERROR: Encountered non-finite generator loss at iter 18087; skipping update. +2025-11-04 12:59:40,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:40,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.11, mean=-0.0891, std=2.959, absmax=14.11 +2025-11-04 12:59:40,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=13.25, mean=-0.08042, std=2.801, absmax=13.25 +2025-11-04 12:59:40,818 ERROR: Encountered non-finite generator loss at iter 18088; skipping update. +2025-11-04 12:59:40,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:40,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:40,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.12, mean=-0.0641, std=3.022, absmax=13.12 +2025-11-04 12:59:40,822 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.05, mean=-0.08504, std=2.791, absmax=11.08 +2025-11-04 12:59:41,179 ERROR: Encountered non-finite generator loss at iter 18089; skipping update. +2025-11-04 12:59:41,180 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,181 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,182 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:41,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.76, mean=0.02273, std=3.011, absmax=14.76 +2025-11-04 12:59:41,183 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=13.94, mean=-0.02275, std=2.822, absmax=13.94 +2025-11-04 12:59:41,541 ERROR: Encountered non-finite generator loss at iter 18090; skipping update. +2025-11-04 12:59:41,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:41,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=13.17, mean=-0.1412, std=3.724, absmax=14.79 +2025-11-04 12:59:41,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=12.52, mean=-0.09568, std=3.486, absmax=14.03 +2025-11-04 12:59:41,903 ERROR: Encountered non-finite generator loss at iter 18091; skipping update. +2025-11-04 12:59:41,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:41,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:41,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=12.15, mean=-0.03271, std=2.716, absmax=12.15 +2025-11-04 12:59:41,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=12.18, mean=-0.01898, std=2.574, absmax=12.18 +2025-11-04 12:59:42,265 ERROR: Encountered non-finite generator loss at iter 18092; skipping update. +2025-11-04 12:59:42,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:42,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:42,268 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:42,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:42,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=10.82, mean=-0.3481, std=3.07, absmax=12.76 +2025-11-04 12:59:42,270 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=9.489, mean=-0.3143, std=2.824, absmax=12.49 +2025-11-04 12:59:42,629 ERROR: Encountered non-finite generator loss at iter 18093; skipping update. +2025-11-04 12:59:42,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:42,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:42,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:42,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:42,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=11.82, mean=-0.07106, std=2.69, absmax=13.38 +2025-11-04 12:59:42,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.77, mean=-0.05742, std=2.573, absmax=11.5 +2025-11-04 12:59:43,000 ERROR: Encountered non-finite generator loss at iter 18094; skipping update. +2025-11-04 12:59:43,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:43,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=16.1, mean=0.07637, std=3.029, absmax=16.1 +2025-11-04 12:59:43,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=15.07, mean=0.06973, std=2.685, absmax=15.07 +2025-11-04 12:59:43,377 ERROR: Encountered non-finite generator loss at iter 18095; skipping update. +2025-11-04 12:59:43,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:43,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=13.3, mean=-0.02914, std=3.164, absmax=14.23 +2025-11-04 12:59:43,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=13.93, mean=-0.03222, std=2.948, absmax=13.93 +2025-11-04 12:59:43,743 ERROR: Encountered non-finite generator loss at iter 18096; skipping update. +2025-11-04 12:59:43,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:43,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:43,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.12, mean=-0.2441, std=2.354, absmax=11.45 +2025-11-04 12:59:43,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=10.08, mean=-0.2227, std=2.267, absmax=11 +2025-11-04 12:59:44,108 ERROR: Encountered non-finite generator loss at iter 18097; skipping update. +2025-11-04 12:59:44,109 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,110 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:44,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.64, mean=0.04491, std=3.799, absmax=14.64 +2025-11-04 12:59:44,113 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=13.64, mean=0.04982, std=3.411, absmax=13.64 +2025-11-04 12:59:44,475 ERROR: Encountered non-finite generator loss at iter 18098; skipping update. +2025-11-04 12:59:44,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:44,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=14.49, mean=-0.106, std=3.435, absmax=14.87 +2025-11-04 12:59:44,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.98, mean=-0.08254, std=3.15, absmax=13.03 +2025-11-04 12:59:44,841 ERROR: Encountered non-finite generator loss at iter 18099; skipping update. +2025-11-04 12:59:44,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:44,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:44,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=10.68, mean=-0.2621, std=2.684, absmax=12.48 +2025-11-04 12:59:44,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=10.86, mean=-0.2747, std=2.391, absmax=10.86 +2025-11-04 12:59:45,207 ERROR: Encountered non-finite generator loss at iter 18100; skipping update. +2025-11-04 12:59:45,208 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,208 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,209 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:45,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=13.65, mean=-0.1794, std=2.909, absmax=14.87 +2025-11-04 12:59:45,211 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.55, max=11.38, mean=-0.2204, std=2.898, absmax=14.55 +2025-11-04 12:59:45,212 INFO: [38..][epoch: 0, step: 18,100, lr:(2.000e-04,)] [eta: 1 day, 11:29:08, time (data): 0.367 (0.000)] +2025-11-04 12:59:45,573 ERROR: Encountered non-finite generator loss at iter 18101; skipping update. +2025-11-04 12:59:45,574 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,575 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,576 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:45,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.38, mean=-0.07403, std=3.483, absmax=14.17 +2025-11-04 12:59:45,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.78, max=12.74, mean=-0.09886, std=3.243, absmax=13.78 +2025-11-04 12:59:45,941 ERROR: Encountered non-finite generator loss at iter 18102; skipping update. +2025-11-04 12:59:45,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:45,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:45,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.91, mean=-0.1042, std=2.857, absmax=13.06 +2025-11-04 12:59:45,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=9.991, mean=-0.04234, std=2.775, absmax=11.55 +2025-11-04 12:59:46,307 ERROR: Encountered non-finite generator loss at iter 18103; skipping update. +2025-11-04 12:59:46,308 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:46,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:46,309 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:46,309 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:46,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=15.63, mean=0.04296, std=3.28, absmax=15.63 +2025-11-04 12:59:46,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=14.3, mean=0.01724, std=2.901, absmax=14.3 +2025-11-04 12:59:46,669 ERROR: Encountered non-finite generator loss at iter 18104; skipping update. +2025-11-04 12:59:46,670 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:46,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:46,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:46,671 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:46,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=10.64, mean=-0.1887, std=2.419, absmax=13.47 +2025-11-04 12:59:46,672 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.18, mean=-0.1475, std=2.342, absmax=11.16 +2025-11-04 12:59:47,031 ERROR: Encountered non-finite generator loss at iter 18105; skipping update. +2025-11-04 12:59:47,031 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,032 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,032 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:47,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=11.02, mean=-0.1785, std=2.518, absmax=11.69 +2025-11-04 12:59:47,034 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=9.602, mean=-0.1538, std=2.39, absmax=10.96 +2025-11-04 12:59:47,393 ERROR: Encountered non-finite generator loss at iter 18106; skipping update. +2025-11-04 12:59:47,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,394 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:47,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.93, mean=-0.2008, std=2.973, absmax=11.93 +2025-11-04 12:59:47,396 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.6, mean=-0.1932, std=2.842, absmax=11.6 +2025-11-04 12:59:47,753 ERROR: Encountered non-finite generator loss at iter 18107; skipping update. +2025-11-04 12:59:47,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:47,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:47,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.06, mean=-0.1579, std=3.594, absmax=13.43 +2025-11-04 12:59:47,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=12.17, mean=-0.126, std=3.291, absmax=12.75 +2025-11-04 12:59:48,115 ERROR: Encountered non-finite generator loss at iter 18108; skipping update. +2025-11-04 12:59:48,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:48,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=12.3, mean=0.01482, std=3.031, absmax=12.3 +2025-11-04 12:59:48,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=11.6, mean=0.02938, std=2.814, absmax=11.6 +2025-11-04 12:59:48,476 ERROR: Encountered non-finite generator loss at iter 18109; skipping update. +2025-11-04 12:59:48,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:48,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.48, mean=-0.1524, std=2.93, absmax=12.8 +2025-11-04 12:59:48,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=11.54, mean=-0.117, std=2.784, absmax=11.75 +2025-11-04 12:59:48,837 ERROR: Encountered non-finite generator loss at iter 18110; skipping update. +2025-11-04 12:59:48,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:48,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:48,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.76, mean=0.1511, std=3.547, absmax=13.76 +2025-11-04 12:59:48,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=12.57, mean=0.1759, std=3.252, absmax=12.57 +2025-11-04 12:59:49,198 ERROR: Encountered non-finite generator loss at iter 18111; skipping update. +2025-11-04 12:59:49,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:49,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.04, mean=0.006197, std=3.64, absmax=14.32 +2025-11-04 12:59:49,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=12.16, mean=-0.007242, std=3.37, absmax=13.42 +2025-11-04 12:59:49,559 ERROR: Encountered non-finite generator loss at iter 18112; skipping update. +2025-11-04 12:59:49,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:49,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=16.08, mean=-0.1261, std=2.95, absmax=16.08 +2025-11-04 12:59:49,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=14.64, mean=-0.1224, std=2.676, absmax=14.64 +2025-11-04 12:59:49,921 ERROR: Encountered non-finite generator loss at iter 18113; skipping update. +2025-11-04 12:59:49,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:49,924 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:49,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.25, mean=-0.1304, std=3.018, absmax=14.25 +2025-11-04 12:59:49,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=12.51, mean=-0.0837, std=2.79, absmax=12.51 +2025-11-04 12:59:50,283 ERROR: Encountered non-finite generator loss at iter 18114; skipping update. +2025-11-04 12:59:50,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:50,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:50,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:50,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:50,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=9.603, mean=-0.2638, std=2.788, absmax=11.67 +2025-11-04 12:59:50,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=8.463, mean=-0.2424, std=2.61, absmax=10.67 +2025-11-04 12:59:50,648 ERROR: Encountered non-finite generator loss at iter 18115; skipping update. +2025-11-04 12:59:50,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:50,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:50,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:50,652 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:50,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.44, mean=-0.251, std=2.862, absmax=12.98 +2025-11-04 12:59:50,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.09, mean=-0.222, std=2.687, absmax=12.38 +2025-11-04 12:59:51,013 ERROR: Encountered non-finite generator loss at iter 18116; skipping update. +2025-11-04 12:59:51,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:51,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.69, mean=-0.02375, std=2.874, absmax=12.69 +2025-11-04 12:59:51,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=9.989, mean=-0.02299, std=2.747, absmax=12.9 +2025-11-04 12:59:51,377 ERROR: Encountered non-finite generator loss at iter 18117; skipping update. +2025-11-04 12:59:51,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:51,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.23, mean=-0.1662, std=2.777, absmax=13.23 +2025-11-04 12:59:51,383 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.91, mean=-0.1616, std=2.558, absmax=11.91 +2025-11-04 12:59:51,747 ERROR: Encountered non-finite generator loss at iter 18118; skipping update. +2025-11-04 12:59:51,748 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:51,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:51,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.06, mean=-0.234, std=3.429, absmax=13.87 +2025-11-04 12:59:51,751 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=12.62, mean=-0.2055, std=3.133, absmax=13.26 +2025-11-04 12:59:52,109 ERROR: Encountered non-finite generator loss at iter 18119; skipping update. +2025-11-04 12:59:52,110 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,111 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:52,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.64, mean=-0.2517, std=3.121, absmax=13.24 +2025-11-04 12:59:52,113 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.44, mean=-0.248, std=2.875, absmax=12.1 +2025-11-04 12:59:52,471 ERROR: Encountered non-finite generator loss at iter 18120; skipping update. +2025-11-04 12:59:52,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:52,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.77, mean=-0.1014, std=2.864, absmax=12.77 +2025-11-04 12:59:52,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.36, mean=-0.1121, std=2.7, absmax=11.91 +2025-11-04 12:59:52,834 ERROR: Encountered non-finite generator loss at iter 18121; skipping update. +2025-11-04 12:59:52,835 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,836 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:52,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:52,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=15.43, mean=-0.262, std=2.877, absmax=15.43 +2025-11-04 12:59:52,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=14.65, mean=-0.2546, std=2.647, absmax=14.65 +2025-11-04 12:59:53,198 ERROR: Encountered non-finite generator loss at iter 18122; skipping update. +2025-11-04 12:59:53,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:53,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.69, mean=-0.0392, std=4.231, absmax=14.69 +2025-11-04 12:59:53,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=14.6, mean=-0.01249, std=4.015, absmax=14.6 +2025-11-04 12:59:53,559 ERROR: Encountered non-finite generator loss at iter 18123; skipping update. +2025-11-04 12:59:53,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:53,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=11.66, mean=-0.1076, std=3.209, absmax=14.17 +2025-11-04 12:59:53,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=11.56, mean=-0.09236, std=3.021, absmax=13.53 +2025-11-04 12:59:53,921 ERROR: Encountered non-finite generator loss at iter 18124; skipping update. +2025-11-04 12:59:53,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:53,924 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:53,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.39, mean=-0.04718, std=2.917, absmax=13.39 +2025-11-04 12:59:53,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=12.31, mean=-0.08175, std=2.66, absmax=12.31 +2025-11-04 12:59:54,281 ERROR: Encountered non-finite generator loss at iter 18125; skipping update. +2025-11-04 12:59:54,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:54,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:54,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:54,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:54,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.48, mean=0.1263, std=3.587, absmax=14.48 +2025-11-04 12:59:54,285 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=13.73, mean=0.1508, std=3.397, absmax=13.73 +2025-11-04 12:59:54,645 ERROR: Encountered non-finite generator loss at iter 18126; skipping update. +2025-11-04 12:59:54,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:54,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:54,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:54,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:54,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=13.27, mean=-0.2071, std=3.419, absmax=14.18 +2025-11-04 12:59:54,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=11.24, mean=-0.2122, std=3.128, absmax=13.72 +2025-11-04 12:59:55,005 ERROR: Encountered non-finite generator loss at iter 18127; skipping update. +2025-11-04 12:59:55,007 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,008 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:55,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.7, max=10.52, mean=-0.2229, std=2.985, absmax=15.7 +2025-11-04 12:59:55,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.01, max=10.26, mean=-0.1986, std=2.736, absmax=14.01 +2025-11-04 12:59:55,366 ERROR: Encountered non-finite generator loss at iter 18128; skipping update. +2025-11-04 12:59:55,367 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:55,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.74, mean=-0.1069, std=3.216, absmax=14.75 +2025-11-04 12:59:55,370 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.35, mean=-0.1544, std=2.967, absmax=12.35 +2025-11-04 12:59:55,727 ERROR: Encountered non-finite generator loss at iter 18129; skipping update. +2025-11-04 12:59:55,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:55,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:55,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.8, mean=-0.1602, std=2.954, absmax=12.8 +2025-11-04 12:59:55,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.31, mean=-0.1187, std=2.692, absmax=12.03 +2025-11-04 12:59:56,088 ERROR: Encountered non-finite generator loss at iter 18130; skipping update. +2025-11-04 12:59:56,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,090 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:56,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.93, mean=-0.1761, std=2.705, absmax=13.38 +2025-11-04 12:59:56,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.77, mean=-0.1937, std=2.483, absmax=11.77 +2025-11-04 12:59:56,448 ERROR: Encountered non-finite generator loss at iter 18131; skipping update. +2025-11-04 12:59:56,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,450 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:56,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=15.33, mean=-0.008306, std=3.406, absmax=15.33 +2025-11-04 12:59:56,451 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=15.04, mean=-0.01962, std=3.135, absmax=15.04 +2025-11-04 12:59:56,808 ERROR: Encountered non-finite generator loss at iter 18132; skipping update. +2025-11-04 12:59:56,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:56,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:56,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.26, mean=-0.07243, std=3.06, absmax=15.26 +2025-11-04 12:59:56,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=13.24, mean=-0.05494, std=2.767, absmax=13.24 +2025-11-04 12:59:57,169 ERROR: Encountered non-finite generator loss at iter 18133; skipping update. +2025-11-04 12:59:57,170 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:57,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.81, mean=-0.3377, std=3.049, absmax=12.81 +2025-11-04 12:59:57,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.47, mean=-0.3439, std=2.864, absmax=11.76 +2025-11-04 12:59:57,530 ERROR: Encountered non-finite generator loss at iter 18134; skipping update. +2025-11-04 12:59:57,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,532 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,532 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:57,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=15.58, mean=-0.006037, std=3.423, absmax=15.58 +2025-11-04 12:59:57,533 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=13.17, mean=-0.009148, std=3.084, absmax=13.17 +2025-11-04 12:59:57,890 ERROR: Encountered non-finite generator loss at iter 18135; skipping update. +2025-11-04 12:59:57,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:57,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:57,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.23, mean=-0.01386, std=3.76, absmax=14.23 +2025-11-04 12:59:57,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=13.74, mean=-0.02448, std=3.453, absmax=13.74 +2025-11-04 12:59:58,250 ERROR: Encountered non-finite generator loss at iter 18136; skipping update. +2025-11-04 12:59:58,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:58,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=16.51, mean=0.0001676, std=3.36, absmax=16.51 +2025-11-04 12:59:58,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=16.28, mean=0.004147, std=3.127, absmax=16.28 +2025-11-04 12:59:58,611 ERROR: Encountered non-finite generator loss at iter 18137; skipping update. +2025-11-04 12:59:58,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:58,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14.09, mean=-0.1686, std=3.026, absmax=14.09 +2025-11-04 12:59:58,614 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=12.93, mean=-0.147, std=2.767, absmax=12.93 +2025-11-04 12:59:58,971 ERROR: Encountered non-finite generator loss at iter 18138; skipping update. +2025-11-04 12:59:58,972 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:58,973 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:58,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=14.51, mean=-0.01713, std=3.149, absmax=14.51 +2025-11-04 12:59:58,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=13.05, mean=0.01903, std=2.955, absmax=13.05 +2025-11-04 12:59:59,332 ERROR: Encountered non-finite generator loss at iter 18139; skipping update. +2025-11-04 12:59:59,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:59,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:59,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:59,334 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:59,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=15.16, mean=0.09745, std=3.833, absmax=15.16 +2025-11-04 12:59:59,335 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=15.04, mean=0.1028, std=3.687, absmax=15.04 +2025-11-04 12:59:59,692 ERROR: Encountered non-finite generator loss at iter 18140; skipping update. +2025-11-04 12:59:59,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:59,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 12:59:59,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 12:59:59,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 12:59:59,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.99, mean=0.1059, std=3.34, absmax=14.99 +2025-11-04 12:59:59,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=13.82, mean=0.1239, std=3.032, absmax=13.82 +2025-11-04 13:00:00,052 ERROR: Encountered non-finite generator loss at iter 18141; skipping update. +2025-11-04 13:00:00,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:00,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=10.52, mean=-0.1801, std=2.625, absmax=11.41 +2025-11-04 13:00:00,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=8.849, mean=-0.1546, std=2.48, absmax=10.81 +2025-11-04 13:00:00,413 ERROR: Encountered non-finite generator loss at iter 18142; skipping update. +2025-11-04 13:00:00,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:00,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=14.75, mean=0.09903, std=3.215, absmax=14.75 +2025-11-04 13:00:00,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.82, max=13.41, mean=0.08378, std=3.102, absmax=13.82 +2025-11-04 13:00:00,773 ERROR: Encountered non-finite generator loss at iter 18143; skipping update. +2025-11-04 13:00:00,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:00,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:00,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=11.52, mean=-0.2639, std=3.138, absmax=14.72 +2025-11-04 13:00:00,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=11.08, mean=-0.1872, std=2.952, absmax=11.64 +2025-11-04 13:00:01,136 ERROR: Encountered non-finite generator loss at iter 18144; skipping update. +2025-11-04 13:00:01,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:01,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.31, mean=-0.052, std=2.641, absmax=12.71 +2025-11-04 13:00:01,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.26, mean=-0.05673, std=2.441, absmax=11.38 +2025-11-04 13:00:01,496 ERROR: Encountered non-finite generator loss at iter 18145; skipping update. +2025-11-04 13:00:01,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,498 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:01,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.28, mean=-0.1106, std=2.985, absmax=12.74 +2025-11-04 13:00:01,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=10.19, mean=-0.08081, std=2.81, absmax=11.88 +2025-11-04 13:00:01,856 ERROR: Encountered non-finite generator loss at iter 18146; skipping update. +2025-11-04 13:00:01,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:01,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:01,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.15, mean=-0.2104, std=2.885, absmax=13.93 +2025-11-04 13:00:01,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=11.38, mean=-0.184, std=2.716, absmax=12.19 +2025-11-04 13:00:02,217 ERROR: Encountered non-finite generator loss at iter 18147; skipping update. +2025-11-04 13:00:02,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:02,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=14.07, mean=-0.04187, std=2.953, absmax=14.07 +2025-11-04 13:00:02,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.14, mean=-0.08262, std=2.617, absmax=11.56 +2025-11-04 13:00:02,576 ERROR: Encountered non-finite generator loss at iter 18148; skipping update. +2025-11-04 13:00:02,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:02,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.7, mean=-0.3293, std=2.892, absmax=13.7 +2025-11-04 13:00:02,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=10.57, mean=-0.3402, std=2.789, absmax=12.58 +2025-11-04 13:00:02,936 ERROR: Encountered non-finite generator loss at iter 18149; skipping update. +2025-11-04 13:00:02,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:02,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:02,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.56, mean=-0.155, std=3.167, absmax=13.75 +2025-11-04 13:00:02,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.62, mean=-0.1105, std=2.845, absmax=11.86 +2025-11-04 13:00:03,296 ERROR: Encountered non-finite generator loss at iter 18150; skipping update. +2025-11-04 13:00:03,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:03,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:03,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:03,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:03,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=12.15, mean=-0.2762, std=3.113, absmax=14.71 +2025-11-04 13:00:03,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=10.48, mean=-0.2422, std=2.987, absmax=13.11 +2025-11-04 13:00:03,656 ERROR: Encountered non-finite generator loss at iter 18151; skipping update. +2025-11-04 13:00:03,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:03,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:03,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:03,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:03,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=11.17, mean=-0.3216, std=3.2, absmax=14.02 +2025-11-04 13:00:03,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.03, mean=-0.2954, std=2.998, absmax=12.5 +2025-11-04 13:00:04,016 ERROR: Encountered non-finite generator loss at iter 18152; skipping update. +2025-11-04 13:00:04,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:04,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.36, mean=0.0008264, std=3.245, absmax=14.36 +2025-11-04 13:00:04,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=13.44, mean=0.06103, std=3.126, absmax=13.44 +2025-11-04 13:00:04,375 ERROR: Encountered non-finite generator loss at iter 18153; skipping update. +2025-11-04 13:00:04,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:04,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=15.01, mean=-0.006884, std=3.83, absmax=15.01 +2025-11-04 13:00:04,378 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=14.49, mean=-0.02571, std=3.595, absmax=14.49 +2025-11-04 13:00:04,735 ERROR: Encountered non-finite generator loss at iter 18154; skipping update. +2025-11-04 13:00:04,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:04,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:04,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.15, mean=-0.09205, std=2.542, absmax=12.15 +2025-11-04 13:00:04,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=9.924, mean=-0.09461, std=2.343, absmax=11.01 +2025-11-04 13:00:05,095 ERROR: Encountered non-finite generator loss at iter 18155; skipping update. +2025-11-04 13:00:05,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:05,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.35, mean=-0.2298, std=2.679, absmax=12.96 +2025-11-04 13:00:05,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.73, max=10.53, mean=-0.2637, std=2.555, absmax=13.73 +2025-11-04 13:00:05,455 ERROR: Encountered non-finite generator loss at iter 18156; skipping update. +2025-11-04 13:00:05,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:05,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.49, mean=-0.07037, std=2.879, absmax=11.65 +2025-11-04 13:00:05,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=10.63, mean=-0.05602, std=2.694, absmax=10.63 +2025-11-04 13:00:05,815 ERROR: Encountered non-finite generator loss at iter 18157; skipping update. +2025-11-04 13:00:05,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:05,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:05,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=13.93, mean=-0.1166, std=2.968, absmax=13.93 +2025-11-04 13:00:05,819 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=12.73, mean=-0.1679, std=2.764, absmax=12.73 +2025-11-04 13:00:06,176 ERROR: Encountered non-finite generator loss at iter 18158; skipping update. +2025-11-04 13:00:06,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:06,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=14.19, mean=0.1005, std=3.057, absmax=14.19 +2025-11-04 13:00:06,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.835, max=13.43, mean=0.1172, std=2.924, absmax=13.43 +2025-11-04 13:00:06,536 ERROR: Encountered non-finite generator loss at iter 18159; skipping update. +2025-11-04 13:00:06,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:06,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=14.75, mean=-0.08705, std=3.218, absmax=14.75 +2025-11-04 13:00:06,540 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=12.05, mean=-0.1356, std=2.95, absmax=12.56 +2025-11-04 13:00:06,896 ERROR: Encountered non-finite generator loss at iter 18160; skipping update. +2025-11-04 13:00:06,897 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:06,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:06,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.23, mean=-0.2921, std=3.423, absmax=12.34 +2025-11-04 13:00:06,899 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.23, mean=-0.2955, std=3.188, absmax=11.3 +2025-11-04 13:00:07,256 ERROR: Encountered non-finite generator loss at iter 18161; skipping update. +2025-11-04 13:00:07,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:07,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=15.36, mean=-0.2284, std=3.415, absmax=15.36 +2025-11-04 13:00:07,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=14.3, mean=-0.2397, std=3.195, absmax=14.3 +2025-11-04 13:00:07,616 ERROR: Encountered non-finite generator loss at iter 18162; skipping update. +2025-11-04 13:00:07,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,617 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,618 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:07,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=15.32, mean=-0.04565, std=3.476, absmax=15.32 +2025-11-04 13:00:07,619 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=14.47, mean=-0.0569, std=3.286, absmax=14.47 +2025-11-04 13:00:07,976 ERROR: Encountered non-finite generator loss at iter 18163; skipping update. +2025-11-04 13:00:07,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:07,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:07,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.91, mean=-0.1168, std=2.855, absmax=13.91 +2025-11-04 13:00:07,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.865, max=11.42, mean=-0.1607, std=2.567, absmax=11.42 +2025-11-04 13:00:08,336 ERROR: Encountered non-finite generator loss at iter 18164; skipping update. +2025-11-04 13:00:08,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:08,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:08,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:08,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:08,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.41, mean=-0.1832, std=2.882, absmax=14.41 +2025-11-04 13:00:08,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=12.65, mean=-0.1644, std=2.679, absmax=12.65 +2025-11-04 13:00:08,697 ERROR: Encountered non-finite generator loss at iter 18165; skipping update. +2025-11-04 13:00:08,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:08,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:08,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:08,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:08,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.62, mean=-0.2262, std=2.937, absmax=12.62 +2025-11-04 13:00:08,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.06, mean=-0.1858, std=2.62, absmax=11.35 +2025-11-04 13:00:09,057 ERROR: Encountered non-finite generator loss at iter 18166; skipping update. +2025-11-04 13:00:09,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:09,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.5, mean=-0.1266, std=2.878, absmax=13.5 +2025-11-04 13:00:09,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=13.03, mean=-0.06901, std=2.723, absmax=13.03 +2025-11-04 13:00:09,416 ERROR: Encountered non-finite generator loss at iter 18167; skipping update. +2025-11-04 13:00:09,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:09,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.43, mean=-0.06248, std=3.045, absmax=12.69 +2025-11-04 13:00:09,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=12.31, mean=-0.07447, std=2.737, absmax=12.31 +2025-11-04 13:00:09,776 ERROR: Encountered non-finite generator loss at iter 18168; skipping update. +2025-11-04 13:00:09,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:09,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:09,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=11.13, mean=-0.03661, std=2.403, absmax=11.13 +2025-11-04 13:00:09,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=10.08, mean=-0.08149, std=2.213, absmax=10.87 +2025-11-04 13:00:10,136 ERROR: Encountered non-finite generator loss at iter 18169; skipping update. +2025-11-04 13:00:10,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:10,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.45, mean=-0.2496, std=2.705, absmax=12.49 +2025-11-04 13:00:10,139 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=9.494, mean=-0.1758, std=2.523, absmax=11.22 +2025-11-04 13:00:10,497 ERROR: Encountered non-finite generator loss at iter 18170; skipping update. +2025-11-04 13:00:10,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:10,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=10.55, mean=-0.2044, std=2.413, absmax=11.53 +2025-11-04 13:00:10,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.767, max=9.657, mean=-0.1926, std=2.221, absmax=9.767 +2025-11-04 13:00:10,857 ERROR: Encountered non-finite generator loss at iter 18171; skipping update. +2025-11-04 13:00:10,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:10,860 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:10,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14, mean=-0.1928, std=2.847, absmax=14 +2025-11-04 13:00:10,861 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=9.768, mean=-0.1832, std=2.678, absmax=11.93 +2025-11-04 13:00:11,217 ERROR: Encountered non-finite generator loss at iter 18172; skipping update. +2025-11-04 13:00:11,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:11,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=11.37, mean=-0.1649, std=2.557, absmax=11.41 +2025-11-04 13:00:11,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=11.08, mean=-0.1287, std=2.41, absmax=11.08 +2025-11-04 13:00:11,576 ERROR: Encountered non-finite generator loss at iter 18173; skipping update. +2025-11-04 13:00:11,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:11,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.54, max=13.23, mean=-0.2014, std=3.128, absmax=15.54 +2025-11-04 13:00:11,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.71, max=10.67, mean=-0.1877, std=2.913, absmax=13.71 +2025-11-04 13:00:11,936 ERROR: Encountered non-finite generator loss at iter 18174; skipping update. +2025-11-04 13:00:11,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:11,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:11,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=15.88, mean=-0.1567, std=3.12, absmax=15.88 +2025-11-04 13:00:11,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=13.74, mean=-0.1347, std=2.935, absmax=13.74 +2025-11-04 13:00:12,296 ERROR: Encountered non-finite generator loss at iter 18175; skipping update. +2025-11-04 13:00:12,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:12,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:12,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:12,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:12,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=14.43, mean=-0.1668, std=2.53, absmax=14.43 +2025-11-04 13:00:12,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.95, max=11.22, mean=-0.1453, std=2.266, absmax=11.22 +2025-11-04 13:00:12,656 ERROR: Encountered non-finite generator loss at iter 18176; skipping update. +2025-11-04 13:00:12,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:12,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:12,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:12,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:12,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=13.22, mean=-0.0808, std=2.797, absmax=13.22 +2025-11-04 13:00:12,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=11.52, mean=-0.07452, std=2.604, absmax=11.52 +2025-11-04 13:00:13,016 ERROR: Encountered non-finite generator loss at iter 18177; skipping update. +2025-11-04 13:00:13,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:13,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.54, mean=-0.04541, std=3.348, absmax=14.54 +2025-11-04 13:00:13,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=14.14, mean=-0.01173, std=3.106, absmax=14.14 +2025-11-04 13:00:13,375 ERROR: Encountered non-finite generator loss at iter 18178; skipping update. +2025-11-04 13:00:13,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:13,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.38, mean=-0.02919, std=3.094, absmax=13.38 +2025-11-04 13:00:13,378 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=12.02, mean=-0.07114, std=2.994, absmax=12.02 +2025-11-04 13:00:13,735 ERROR: Encountered non-finite generator loss at iter 18179; skipping update. +2025-11-04 13:00:13,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:13,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:13,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.17, mean=-0.2996, std=2.817, absmax=13.59 +2025-11-04 13:00:13,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=10.52, mean=-0.303, std=2.7, absmax=11.11 +2025-11-04 13:00:14,096 ERROR: Encountered non-finite generator loss at iter 18180; skipping update. +2025-11-04 13:00:14,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:14,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=14.24, mean=0.1749, std=3.372, absmax=14.24 +2025-11-04 13:00:14,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=13.28, mean=0.1556, std=3.286, absmax=13.28 +2025-11-04 13:00:14,456 ERROR: Encountered non-finite generator loss at iter 18181; skipping update. +2025-11-04 13:00:14,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:14,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=14.93, mean=-0.03512, std=3.056, absmax=14.93 +2025-11-04 13:00:14,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=12.31, mean=-0.06671, std=2.816, absmax=12.31 +2025-11-04 13:00:14,816 ERROR: Encountered non-finite generator loss at iter 18182; skipping update. +2025-11-04 13:00:14,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:14,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:14,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.27, mean=-0.2478, std=2.68, absmax=13.27 +2025-11-04 13:00:14,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.35, mean=-0.259, std=2.491, absmax=11.35 +2025-11-04 13:00:15,176 ERROR: Encountered non-finite generator loss at iter 18183; skipping update. +2025-11-04 13:00:15,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:15,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.22, mean=-0.1866, std=2.628, absmax=12.22 +2025-11-04 13:00:15,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=11.56, mean=-0.1355, std=2.529, absmax=11.56 +2025-11-04 13:00:15,536 ERROR: Encountered non-finite generator loss at iter 18184; skipping update. +2025-11-04 13:00:15,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:15,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.37, mean=-0.163, std=3.225, absmax=12.46 +2025-11-04 13:00:15,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.33, mean=-0.1514, std=2.982, absmax=11.2 +2025-11-04 13:00:15,895 ERROR: Encountered non-finite generator loss at iter 18185; skipping update. +2025-11-04 13:00:15,896 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,897 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:15,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:15,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=14, mean=-0.1772, std=3.864, absmax=14 +2025-11-04 13:00:15,899 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=12.66, mean=-0.1564, std=3.62, absmax=13.55 +2025-11-04 13:00:16,256 ERROR: Encountered non-finite generator loss at iter 18186; skipping update. +2025-11-04 13:00:16,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:16,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=14, mean=-0.3059, std=3.195, absmax=14 +2025-11-04 13:00:16,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=11.14, mean=-0.3012, std=3.015, absmax=11.88 +2025-11-04 13:00:16,616 ERROR: Encountered non-finite generator loss at iter 18187; skipping update. +2025-11-04 13:00:16,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:16,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=10.81, mean=-0.1408, std=3.103, absmax=12.56 +2025-11-04 13:00:16,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=9.074, mean=-0.1293, std=2.905, absmax=11.69 +2025-11-04 13:00:16,976 ERROR: Encountered non-finite generator loss at iter 18188; skipping update. +2025-11-04 13:00:16,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:16,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:16,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=14.82, mean=0.0484, std=3.779, absmax=14.82 +2025-11-04 13:00:16,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=14.67, mean=0.03595, std=3.627, absmax=14.67 +2025-11-04 13:00:17,336 ERROR: Encountered non-finite generator loss at iter 18189; skipping update. +2025-11-04 13:00:17,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:17,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:17,337 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:17,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:17,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=10.06, mean=-0.258, std=2.733, absmax=12.1 +2025-11-04 13:00:17,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=9.083, mean=-0.2467, std=2.613, absmax=11.11 +2025-11-04 13:00:17,696 ERROR: Encountered non-finite generator loss at iter 18190; skipping update. +2025-11-04 13:00:17,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:17,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:17,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:17,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:17,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=17.72, mean=0.007049, std=3.256, absmax=17.72 +2025-11-04 13:00:17,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=13.57, mean=0.0385, std=3.051, absmax=13.57 +2025-11-04 13:00:18,056 ERROR: Encountered non-finite generator loss at iter 18191; skipping update. +2025-11-04 13:00:18,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:18,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.33, mean=0.01434, std=3.142, absmax=13.33 +2025-11-04 13:00:18,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.22, mean=0.02089, std=2.896, absmax=12.22 +2025-11-04 13:00:18,417 ERROR: Encountered non-finite generator loss at iter 18192; skipping update. +2025-11-04 13:00:18,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:18,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=14.19, mean=0.0487, std=3.144, absmax=14.19 +2025-11-04 13:00:18,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=12.58, mean=0.007071, std=2.969, absmax=12.58 +2025-11-04 13:00:18,776 ERROR: Encountered non-finite generator loss at iter 18193; skipping update. +2025-11-04 13:00:18,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:18,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:18,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.33, mean=-0.03694, std=3.201, absmax=12.36 +2025-11-04 13:00:18,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.53, mean=-0.03574, std=3.08, absmax=11.53 +2025-11-04 13:00:19,138 ERROR: Encountered non-finite generator loss at iter 18194; skipping update. +2025-11-04 13:00:19,139 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,140 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,141 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:19,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=12.85, mean=-0.2566, std=2.819, absmax=13.43 +2025-11-04 13:00:19,142 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.06, mean=-0.2086, std=2.694, absmax=12.06 +2025-11-04 13:00:19,498 ERROR: Encountered non-finite generator loss at iter 18195; skipping update. +2025-11-04 13:00:19,499 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,500 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,500 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:19,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.3, mean=-0.08135, std=3.132, absmax=14.3 +2025-11-04 13:00:19,501 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=13.6, mean=-0.07512, std=2.928, absmax=13.6 +2025-11-04 13:00:19,858 ERROR: Encountered non-finite generator loss at iter 18196; skipping update. +2025-11-04 13:00:19,859 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,860 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:19,860 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:19,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.55, mean=-0.04449, std=3.122, absmax=13.55 +2025-11-04 13:00:19,861 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.15, mean=-0.06303, std=2.872, absmax=12.21 +2025-11-04 13:00:20,218 ERROR: Encountered non-finite generator loss at iter 18197; skipping update. +2025-11-04 13:00:20,219 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,220 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,220 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:20,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.32, mean=-0.2083, std=3.085, absmax=13.44 +2025-11-04 13:00:20,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=9.778, mean=-0.1892, std=2.821, absmax=11.81 +2025-11-04 13:00:20,577 ERROR: Encountered non-finite generator loss at iter 18198; skipping update. +2025-11-04 13:00:20,579 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,580 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:20,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.31, max=11.06, mean=-0.229, std=2.407, absmax=11.06 +2025-11-04 13:00:20,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.248, max=8.673, mean=-0.2313, std=2.238, absmax=9.248 +2025-11-04 13:00:20,937 ERROR: Encountered non-finite generator loss at iter 18199; skipping update. +2025-11-04 13:00:20,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:20,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:20,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=12.17, mean=-0.3534, std=3.435, absmax=15.27 +2025-11-04 13:00:20,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=11.15, mean=-0.3636, std=3.179, absmax=13.03 +2025-11-04 13:00:21,297 ERROR: Encountered non-finite generator loss at iter 18200; skipping update. +2025-11-04 13:00:21,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:21,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:21,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:21,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:21,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=10.88, mean=-0.07831, std=2.333, absmax=11.66 +2025-11-04 13:00:21,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=10.15, mean=-0.1004, std=2.18, absmax=10.86 +2025-11-04 13:00:21,301 INFO: [38..][epoch: 0, step: 18,200, lr:(2.000e-04,)] [eta: 1 day, 11:18:59, time (data): 0.361 (0.000)] +2025-11-04 13:00:21,656 ERROR: Encountered non-finite generator loss at iter 18201; skipping update. +2025-11-04 13:00:21,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:21,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:21,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:21,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:21,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.54, max=13.13, mean=-0.2018, std=2.659, absmax=13.13 +2025-11-04 13:00:21,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.31, mean=-0.1892, std=2.459, absmax=12.31 +2025-11-04 13:00:22,017 ERROR: Encountered non-finite generator loss at iter 18202; skipping update. +2025-11-04 13:00:22,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:22,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.99, mean=-0.2084, std=2.996, absmax=12.99 +2025-11-04 13:00:22,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=11.08, mean=-0.1837, std=2.786, absmax=11.08 +2025-11-04 13:00:22,378 ERROR: Encountered non-finite generator loss at iter 18203; skipping update. +2025-11-04 13:00:22,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:22,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=15.54, mean=-0.06899, std=3.504, absmax=15.54 +2025-11-04 13:00:22,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=14.54, mean=-0.05834, std=3.386, absmax=14.54 +2025-11-04 13:00:22,738 ERROR: Encountered non-finite generator loss at iter 18204; skipping update. +2025-11-04 13:00:22,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:22,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:22,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.13, mean=-0.1759, std=3.297, absmax=13.53 +2025-11-04 13:00:22,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.78, mean=-0.1538, std=3.059, absmax=11.78 +2025-11-04 13:00:23,098 ERROR: Encountered non-finite generator loss at iter 18205; skipping update. +2025-11-04 13:00:23,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:23,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=14.97, mean=-0.1415, std=3.772, absmax=14.97 +2025-11-04 13:00:23,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=13.54, mean=-0.1967, std=3.466, absmax=13.54 +2025-11-04 13:00:23,457 ERROR: Encountered non-finite generator loss at iter 18206; skipping update. +2025-11-04 13:00:23,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,460 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:23,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12.11, mean=-0.1033, std=2.818, absmax=12.11 +2025-11-04 13:00:23,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.75, mean=-0.09638, std=2.639, absmax=10.75 +2025-11-04 13:00:23,817 ERROR: Encountered non-finite generator loss at iter 18207; skipping update. +2025-11-04 13:00:23,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:23,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:23,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.23, mean=-0.1825, std=2.487, absmax=13.23 +2025-11-04 13:00:23,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.652, max=10.89, mean=-0.1457, std=2.37, absmax=10.89 +2025-11-04 13:00:24,176 ERROR: Encountered non-finite generator loss at iter 18208; skipping update. +2025-11-04 13:00:24,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:24,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=11.04, mean=-0.2208, std=2.671, absmax=14.72 +2025-11-04 13:00:24,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.06, mean=-0.1885, std=2.522, absmax=11.35 +2025-11-04 13:00:24,535 ERROR: Encountered non-finite generator loss at iter 18209; skipping update. +2025-11-04 13:00:24,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:24,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=10.57, mean=-0.2194, std=2.996, absmax=12.91 +2025-11-04 13:00:24,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=8.846, mean=-0.206, std=2.871, absmax=11.11 +2025-11-04 13:00:24,896 ERROR: Encountered non-finite generator loss at iter 18210; skipping update. +2025-11-04 13:00:24,897 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:24,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:24,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.48, mean=-0.2098, std=3.076, absmax=13.1 +2025-11-04 13:00:24,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.31, mean=-0.1703, std=2.843, absmax=11.31 +2025-11-04 13:00:25,256 ERROR: Encountered non-finite generator loss at iter 18211; skipping update. +2025-11-04 13:00:25,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:25,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.82, mean=-0.2608, std=2.968, absmax=12.82 +2025-11-04 13:00:25,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.09, mean=-0.2831, std=2.795, absmax=11.86 +2025-11-04 13:00:25,615 ERROR: Encountered non-finite generator loss at iter 18212; skipping update. +2025-11-04 13:00:25,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,617 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:25,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=10.96, mean=-0.2341, std=2.589, absmax=13.52 +2025-11-04 13:00:25,619 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=9.832, mean=-0.2299, std=2.461, absmax=10.23 +2025-11-04 13:00:25,975 ERROR: Encountered non-finite generator loss at iter 18213; skipping update. +2025-11-04 13:00:25,976 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:25,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:25,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=15.22, mean=-0.1457, std=3.47, absmax=15.22 +2025-11-04 13:00:25,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=13.43, mean=-0.1474, std=3.245, absmax=13.58 +2025-11-04 13:00:26,337 ERROR: Encountered non-finite generator loss at iter 18214; skipping update. +2025-11-04 13:00:26,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:26,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:26,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:26,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:26,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=14.1, mean=-0.2116, std=2.862, absmax=15.76 +2025-11-04 13:00:26,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.43, max=10.47, mean=-0.2061, std=2.737, absmax=13.43 +2025-11-04 13:00:26,696 ERROR: Encountered non-finite generator loss at iter 18215; skipping update. +2025-11-04 13:00:26,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:26,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:26,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:26,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:26,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.95, max=11.36, mean=-0.3244, std=3.36, absmax=14.95 +2025-11-04 13:00:26,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=10.2, mean=-0.3138, std=3.208, absmax=13.39 +2025-11-04 13:00:27,056 ERROR: Encountered non-finite generator loss at iter 18216; skipping update. +2025-11-04 13:00:27,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:27,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=14.11, mean=-0.2622, std=2.898, absmax=14.33 +2025-11-04 13:00:27,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.51, mean=-0.2323, std=2.779, absmax=13.03 +2025-11-04 13:00:27,417 ERROR: Encountered non-finite generator loss at iter 18217; skipping update. +2025-11-04 13:00:27,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:27,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.28, mean=-0.1224, std=2.894, absmax=14.28 +2025-11-04 13:00:27,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=11.56, mean=-0.1301, std=2.566, absmax=11.56 +2025-11-04 13:00:27,777 ERROR: Encountered non-finite generator loss at iter 18218; skipping update. +2025-11-04 13:00:27,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:27,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:27,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.27, mean=-0.3284, std=2.718, absmax=12.97 +2025-11-04 13:00:27,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.59, mean=-0.3104, std=2.53, absmax=11.5 +2025-11-04 13:00:28,137 ERROR: Encountered non-finite generator loss at iter 18219; skipping update. +2025-11-04 13:00:28,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:28,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=13.35, mean=-0.003837, std=3.589, absmax=14.11 +2025-11-04 13:00:28,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=12.02, mean=0.02035, std=3.307, absmax=12.16 +2025-11-04 13:00:28,497 ERROR: Encountered non-finite generator loss at iter 18220; skipping update. +2025-11-04 13:00:28,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:28,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.31, max=10.89, mean=-0.2731, std=2.227, absmax=10.89 +2025-11-04 13:00:28,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.794, max=8.173, mean=-0.2393, std=2.094, absmax=9.794 +2025-11-04 13:00:28,856 ERROR: Encountered non-finite generator loss at iter 18221; skipping update. +2025-11-04 13:00:28,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:28,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:28,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.41, mean=-0.0428, std=3.285, absmax=13.41 +2025-11-04 13:00:28,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.79, mean=-0.007516, std=3.086, absmax=11.79 +2025-11-04 13:00:29,216 ERROR: Encountered non-finite generator loss at iter 18222; skipping update. +2025-11-04 13:00:29,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:29,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=14.86, mean=0.119, std=3.672, absmax=14.96 +2025-11-04 13:00:29,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=14.42, mean=0.1038, std=3.512, absmax=14.42 +2025-11-04 13:00:29,576 ERROR: Encountered non-finite generator loss at iter 18223; skipping update. +2025-11-04 13:00:29,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:29,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=10.29, mean=-0.1089, std=2.38, absmax=11 +2025-11-04 13:00:29,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.655, max=8.646, mean=-0.1317, std=2.187, absmax=9.655 +2025-11-04 13:00:29,937 ERROR: Encountered non-finite generator loss at iter 18224; skipping update. +2025-11-04 13:00:29,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:29,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:29,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.47, mean=-0.2513, std=2.898, absmax=12.47 +2025-11-04 13:00:29,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=11.46, mean=-0.2422, std=2.63, absmax=11.46 +2025-11-04 13:00:30,296 ERROR: Encountered non-finite generator loss at iter 18225; skipping update. +2025-11-04 13:00:30,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:30,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:30,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:30,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:30,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.62, mean=-0.1653, std=3.032, absmax=12.53 +2025-11-04 13:00:30,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.46, mean=-0.1568, std=2.846, absmax=11.59 +2025-11-04 13:00:30,656 ERROR: Encountered non-finite generator loss at iter 18226; skipping update. +2025-11-04 13:00:30,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:30,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:30,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:30,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:30,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=11.48, mean=-0.05207, std=2.98, absmax=13.85 +2025-11-04 13:00:30,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=10.31, mean=-0.06687, std=2.923, absmax=11.54 +2025-11-04 13:00:31,016 ERROR: Encountered non-finite generator loss at iter 18227; skipping update. +2025-11-04 13:00:31,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:31,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=12.65, mean=-0.1691, std=2.471, absmax=12.65 +2025-11-04 13:00:31,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=9.558, mean=-0.1693, std=2.379, absmax=10.59 +2025-11-04 13:00:31,375 ERROR: Encountered non-finite generator loss at iter 18228; skipping update. +2025-11-04 13:00:31,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:31,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=16.9, mean=-0.09634, std=2.518, absmax=16.9 +2025-11-04 13:00:31,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=13.74, mean=-0.09437, std=2.38, absmax=13.74 +2025-11-04 13:00:31,735 ERROR: Encountered non-finite generator loss at iter 18229; skipping update. +2025-11-04 13:00:31,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:31,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:31,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=14.96, mean=-0.1784, std=3.146, absmax=14.96 +2025-11-04 13:00:31,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.67, mean=-0.158, std=2.939, absmax=12.76 +2025-11-04 13:00:32,095 ERROR: Encountered non-finite generator loss at iter 18230; skipping update. +2025-11-04 13:00:32,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:32,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.21, mean=-0.2885, std=2.761, absmax=14.21 +2025-11-04 13:00:32,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.52, mean=-0.2353, std=2.661, absmax=12.52 +2025-11-04 13:00:32,456 ERROR: Encountered non-finite generator loss at iter 18231; skipping update. +2025-11-04 13:00:32,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:32,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.42, mean=-0.2047, std=3.176, absmax=13.42 +2025-11-04 13:00:32,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.01, mean=-0.1871, std=2.952, absmax=11.41 +2025-11-04 13:00:32,816 ERROR: Encountered non-finite generator loss at iter 18232; skipping update. +2025-11-04 13:00:32,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:32,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:32,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=16.97, mean=-0.2511, std=2.973, absmax=16.97 +2025-11-04 13:00:32,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.31, max=14.29, mean=-0.248, std=2.701, absmax=14.29 +2025-11-04 13:00:33,176 ERROR: Encountered non-finite generator loss at iter 18233; skipping update. +2025-11-04 13:00:33,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:33,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=11.67, mean=-0.1719, std=2.895, absmax=13.7 +2025-11-04 13:00:33,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=12, mean=-0.1508, std=2.71, absmax=12.69 +2025-11-04 13:00:33,536 ERROR: Encountered non-finite generator loss at iter 18234; skipping update. +2025-11-04 13:00:33,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:33,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=14.2, mean=-0.1666, std=3.215, absmax=14.26 +2025-11-04 13:00:33,540 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=10.91, mean=-0.1421, std=2.889, absmax=13.25 +2025-11-04 13:00:33,896 ERROR: Encountered non-finite generator loss at iter 18235; skipping update. +2025-11-04 13:00:33,897 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:33,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:33,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.78, mean=-0.08139, std=3.493, absmax=13.15 +2025-11-04 13:00:33,899 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=10.81, mean=-0.07861, std=3.188, absmax=11.21 +2025-11-04 13:00:34,256 ERROR: Encountered non-finite generator loss at iter 18236; skipping update. +2025-11-04 13:00:34,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:34,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=11.62, mean=-0.1464, std=2.625, absmax=11.62 +2025-11-04 13:00:34,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=10.6, mean=-0.1337, std=2.504, absmax=10.6 +2025-11-04 13:00:34,616 ERROR: Encountered non-finite generator loss at iter 18237; skipping update. +2025-11-04 13:00:34,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,618 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:34,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=14.51, mean=-0.1637, std=3.057, absmax=14.51 +2025-11-04 13:00:34,619 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.91, mean=-0.1568, std=2.808, absmax=12.95 +2025-11-04 13:00:34,975 ERROR: Encountered non-finite generator loss at iter 18238; skipping update. +2025-11-04 13:00:34,976 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:34,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:34,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.38, max=16.37, mean=-0.02272, std=3.267, absmax=18.38 +2025-11-04 13:00:34,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.79, max=15.23, mean=-0.04656, std=2.987, absmax=15.79 +2025-11-04 13:00:35,336 ERROR: Encountered non-finite generator loss at iter 18239; skipping update. +2025-11-04 13:00:35,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:35,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:35,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:35,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:35,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.12, mean=-0.1383, std=3.369, absmax=13.2 +2025-11-04 13:00:35,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=10.11, mean=-0.146, std=3.077, absmax=12.21 +2025-11-04 13:00:35,696 ERROR: Encountered non-finite generator loss at iter 18240; skipping update. +2025-11-04 13:00:35,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:35,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:35,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:35,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:35,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=11.86, mean=-0.1248, std=2.458, absmax=11.86 +2025-11-04 13:00:35,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.95, max=10.1, mean=-0.1041, std=2.306, absmax=10.1 +2025-11-04 13:00:36,055 ERROR: Encountered non-finite generator loss at iter 18241; skipping update. +2025-11-04 13:00:36,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,057 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:36,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=12.09, mean=-0.344, std=2.794, absmax=14.16 +2025-11-04 13:00:36,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=10.96, mean=-0.3358, std=2.685, absmax=12.25 +2025-11-04 13:00:36,416 ERROR: Encountered non-finite generator loss at iter 18242; skipping update. +2025-11-04 13:00:36,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:36,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=15.15, mean=-0.01014, std=3.399, absmax=15.15 +2025-11-04 13:00:36,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=11.6, mean=-0.03152, std=3.156, absmax=11.6 +2025-11-04 13:00:36,776 ERROR: Encountered non-finite generator loss at iter 18243; skipping update. +2025-11-04 13:00:36,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:36,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:36,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.16, mean=-0.1957, std=3.045, absmax=14.16 +2025-11-04 13:00:36,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=12.06, mean=-0.1697, std=2.903, absmax=12.06 +2025-11-04 13:00:37,137 ERROR: Encountered non-finite generator loss at iter 18244; skipping update. +2025-11-04 13:00:37,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:37,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=15.36, mean=-0.1439, std=3.025, absmax=15.36 +2025-11-04 13:00:37,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=13.48, mean=-0.1589, std=2.724, absmax=13.48 +2025-11-04 13:00:37,497 ERROR: Encountered non-finite generator loss at iter 18245; skipping update. +2025-11-04 13:00:37,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:37,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=10.54, mean=-0.2558, std=2.952, absmax=13.59 +2025-11-04 13:00:37,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=10.19, mean=-0.2165, std=2.78, absmax=12.47 +2025-11-04 13:00:37,857 ERROR: Encountered non-finite generator loss at iter 18246; skipping update. +2025-11-04 13:00:37,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:37,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:37,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=14.45, mean=-0.1068, std=3.241, absmax=14.45 +2025-11-04 13:00:37,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=13.63, mean=-0.1178, std=3.009, absmax=13.63 +2025-11-04 13:00:38,217 ERROR: Encountered non-finite generator loss at iter 18247; skipping update. +2025-11-04 13:00:38,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:38,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.74, mean=0.1779, std=3.279, absmax=13.74 +2025-11-04 13:00:38,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=13.53, mean=0.1502, std=3.026, absmax=13.53 +2025-11-04 13:00:38,576 ERROR: Encountered non-finite generator loss at iter 18248; skipping update. +2025-11-04 13:00:38,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:38,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.14, mean=-0.2099, std=2.753, absmax=12.41 +2025-11-04 13:00:38,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=10.27, mean=-0.2023, std=2.566, absmax=10.75 +2025-11-04 13:00:38,936 ERROR: Encountered non-finite generator loss at iter 18249; skipping update. +2025-11-04 13:00:38,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:38,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:38,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=11.01, mean=-0.3062, std=2.543, absmax=11.19 +2025-11-04 13:00:38,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=11.77, mean=-0.2604, std=2.377, absmax=11.77 +2025-11-04 13:00:39,295 ERROR: Encountered non-finite generator loss at iter 18250; skipping update. +2025-11-04 13:00:39,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:39,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:39,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:39,297 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:39,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=13.59, mean=0.02577, std=3.054, absmax=13.59 +2025-11-04 13:00:39,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.58, mean=-0.003985, std=2.819, absmax=11.58 +2025-11-04 13:00:39,655 ERROR: Encountered non-finite generator loss at iter 18251; skipping update. +2025-11-04 13:00:39,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:39,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:39,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:39,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:39,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=20.06, mean=-0.1164, std=3.426, absmax=20.06 +2025-11-04 13:00:39,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.88, mean=-0.1407, std=3.131, absmax=12.88 +2025-11-04 13:00:40,016 ERROR: Encountered non-finite generator loss at iter 18252; skipping update. +2025-11-04 13:00:40,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:40,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.48, mean=-0.2797, std=2.827, absmax=12.48 +2025-11-04 13:00:40,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=10.61, mean=-0.2741, std=2.62, absmax=12.13 +2025-11-04 13:00:40,376 ERROR: Encountered non-finite generator loss at iter 18253; skipping update. +2025-11-04 13:00:40,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:40,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.07, mean=-0.2847, std=3.238, absmax=14.38 +2025-11-04 13:00:40,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=10.98, mean=-0.2899, std=3.079, absmax=13.26 +2025-11-04 13:00:40,736 ERROR: Encountered non-finite generator loss at iter 18254; skipping update. +2025-11-04 13:00:40,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:40,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:40,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.85, mean=-0.2096, std=2.906, absmax=12.85 +2025-11-04 13:00:40,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=10.8, mean=-0.1884, std=2.72, absmax=11.56 +2025-11-04 13:00:41,097 ERROR: Encountered non-finite generator loss at iter 18255; skipping update. +2025-11-04 13:00:41,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:41,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=14.63, mean=-0.09494, std=3.631, absmax=14.63 +2025-11-04 13:00:41,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=12.86, mean=-0.07567, std=3.369, absmax=13.04 +2025-11-04 13:00:41,456 ERROR: Encountered non-finite generator loss at iter 18256; skipping update. +2025-11-04 13:00:41,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:41,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.43, mean=-0.0438, std=3.504, absmax=13.43 +2025-11-04 13:00:41,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=11.55, mean=-0.05889, std=3.155, absmax=11.8 +2025-11-04 13:00:41,816 ERROR: Encountered non-finite generator loss at iter 18257; skipping update. +2025-11-04 13:00:41,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:41,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:41,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.47, mean=-0.2938, std=2.897, absmax=12.71 +2025-11-04 13:00:41,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=10.36, mean=-0.2467, std=2.588, absmax=11.15 +2025-11-04 13:00:42,176 ERROR: Encountered non-finite generator loss at iter 18258; skipping update. +2025-11-04 13:00:42,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:42,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=10.86, mean=-0.2496, std=2.664, absmax=13.89 +2025-11-04 13:00:42,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=9.741, mean=-0.233, std=2.436, absmax=13.1 +2025-11-04 13:00:42,536 ERROR: Encountered non-finite generator loss at iter 18259; skipping update. +2025-11-04 13:00:42,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:42,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.39, max=16.38, mean=-0.2798, std=2.931, absmax=16.38 +2025-11-04 13:00:42,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.5, max=12.63, mean=-0.2555, std=2.685, absmax=14.5 +2025-11-04 13:00:42,896 ERROR: Encountered non-finite generator loss at iter 18260; skipping update. +2025-11-04 13:00:42,897 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:42,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:42,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=11.99, mean=-0.2266, std=3.134, absmax=14.8 +2025-11-04 13:00:42,899 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=11.13, mean=-0.2342, std=2.987, absmax=12.56 +2025-11-04 13:00:43,256 ERROR: Encountered non-finite generator loss at iter 18261; skipping update. +2025-11-04 13:00:43,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:43,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=15.38, mean=-0.1584, std=2.705, absmax=15.38 +2025-11-04 13:00:43,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.18, mean=-0.1644, std=2.662, absmax=11.22 +2025-11-04 13:00:43,616 ERROR: Encountered non-finite generator loss at iter 18262; skipping update. +2025-11-04 13:00:43,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:43,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.18, mean=-0.1832, std=2.548, absmax=11.6 +2025-11-04 13:00:43,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=11.12, mean=-0.1695, std=2.48, absmax=11.12 +2025-11-04 13:00:43,976 ERROR: Encountered non-finite generator loss at iter 18263; skipping update. +2025-11-04 13:00:43,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:43,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:43,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=16.21, mean=0.1743, std=3.781, absmax=16.21 +2025-11-04 13:00:43,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=14.53, mean=0.2032, std=3.511, absmax=14.53 +2025-11-04 13:00:44,336 ERROR: Encountered non-finite generator loss at iter 18264; skipping update. +2025-11-04 13:00:44,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:44,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:44,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:44,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:44,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.05, mean=-0.1675, std=3.248, absmax=14.05 +2025-11-04 13:00:44,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=13.6, mean=-0.1555, std=3.04, absmax=13.6 +2025-11-04 13:00:44,696 ERROR: Encountered non-finite generator loss at iter 18265; skipping update. +2025-11-04 13:00:44,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:44,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:44,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:44,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:44,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=19.38, mean=-0.4088, std=3.504, absmax=19.38 +2025-11-04 13:00:44,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=13.69, mean=-0.3778, std=3.285, absmax=13.69 +2025-11-04 13:00:45,056 ERROR: Encountered non-finite generator loss at iter 18266; skipping update. +2025-11-04 13:00:45,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:45,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=17.24, mean=0.1101, std=3.507, absmax=17.24 +2025-11-04 13:00:45,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=14.57, mean=0.08307, std=3.252, absmax=14.57 +2025-11-04 13:00:45,417 ERROR: Encountered non-finite generator loss at iter 18267; skipping update. +2025-11-04 13:00:45,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:45,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=12.15, mean=-0.1666, std=3.036, absmax=14.31 +2025-11-04 13:00:45,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.68, mean=-0.144, std=2.857, absmax=11.77 +2025-11-04 13:00:45,777 ERROR: Encountered non-finite generator loss at iter 18268; skipping update. +2025-11-04 13:00:45,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:45,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:45,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=16.72, mean=-0.05887, std=2.8, absmax=16.72 +2025-11-04 13:00:45,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.78, max=16.19, mean=-0.05406, std=2.696, absmax=16.19 +2025-11-04 13:00:46,136 ERROR: Encountered non-finite generator loss at iter 18269; skipping update. +2025-11-04 13:00:46,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:46,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=15.37, mean=-0.1955, std=2.758, absmax=15.37 +2025-11-04 13:00:46,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.82, max=13.89, mean=-0.1751, std=2.603, absmax=13.89 +2025-11-04 13:00:46,496 ERROR: Encountered non-finite generator loss at iter 18270; skipping update. +2025-11-04 13:00:46,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,498 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:46,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.54, mean=-0.1372, std=3.116, absmax=12.66 +2025-11-04 13:00:46,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=11.66, mean=-0.09795, std=2.948, absmax=12.09 +2025-11-04 13:00:46,856 ERROR: Encountered non-finite generator loss at iter 18271; skipping update. +2025-11-04 13:00:46,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:46,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:46,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.3, mean=-0.1542, std=2.99, absmax=12.64 +2025-11-04 13:00:46,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=10.98, mean=-0.1095, std=2.811, absmax=11.06 +2025-11-04 13:00:47,216 ERROR: Encountered non-finite generator loss at iter 18272; skipping update. +2025-11-04 13:00:47,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:47,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.04, mean=-0.185, std=2.983, absmax=14.04 +2025-11-04 13:00:47,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=11.92, mean=-0.1849, std=2.706, absmax=11.92 +2025-11-04 13:00:47,576 ERROR: Encountered non-finite generator loss at iter 18273; skipping update. +2025-11-04 13:00:47,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:47,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.52, mean=-0.00666, std=3.248, absmax=13.01 +2025-11-04 13:00:47,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.63, mean=0.02954, std=3.207, absmax=12.75 +2025-11-04 13:00:47,936 ERROR: Encountered non-finite generator loss at iter 18274; skipping update. +2025-11-04 13:00:47,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:47,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:47,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.12, mean=-0.08164, std=3.262, absmax=13.19 +2025-11-04 13:00:47,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=12.11, mean=-0.1382, std=2.991, absmax=12.11 +2025-11-04 13:00:48,296 ERROR: Encountered non-finite generator loss at iter 18275; skipping update. +2025-11-04 13:00:48,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:48,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:48,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:48,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:48,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.38, mean=-0.1559, std=3.05, absmax=12.03 +2025-11-04 13:00:48,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.87, mean=-0.08467, std=2.932, absmax=11.87 +2025-11-04 13:00:48,656 ERROR: Encountered non-finite generator loss at iter 18276; skipping update. +2025-11-04 13:00:48,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:48,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:48,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:48,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:48,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.02, mean=-0.1905, std=2.439, absmax=12.29 +2025-11-04 13:00:48,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=9.722, mean=-0.1496, std=2.332, absmax=10.3 +2025-11-04 13:00:49,016 ERROR: Encountered non-finite generator loss at iter 18277; skipping update. +2025-11-04 13:00:49,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:49,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.68, mean=-0.2489, std=2.435, absmax=13.68 +2025-11-04 13:00:49,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=11.57, mean=-0.2435, std=2.214, absmax=11.57 +2025-11-04 13:00:49,377 ERROR: Encountered non-finite generator loss at iter 18278; skipping update. +2025-11-04 13:00:49,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:49,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.4, mean=-0.08951, std=3.106, absmax=12.46 +2025-11-04 13:00:49,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=10.63, mean=-0.05171, std=2.882, absmax=12.79 +2025-11-04 13:00:49,737 ERROR: Encountered non-finite generator loss at iter 18279; skipping update. +2025-11-04 13:00:49,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:49,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:49,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.17, mean=-0.2129, std=2.692, absmax=12.62 +2025-11-04 13:00:49,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=9.385, mean=-0.1545, std=2.492, absmax=10.42 +2025-11-04 13:00:50,096 ERROR: Encountered non-finite generator loss at iter 18280; skipping update. +2025-11-04 13:00:50,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:50,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.69, mean=-0.3345, std=2.817, absmax=13.1 +2025-11-04 13:00:50,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.64, max=10.67, mean=-0.272, std=2.792, absmax=13.64 +2025-11-04 13:00:50,457 ERROR: Encountered non-finite generator loss at iter 18281; skipping update. +2025-11-04 13:00:50,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:50,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=14.37, mean=0.008626, std=3.103, absmax=14.37 +2025-11-04 13:00:50,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=12.51, mean=0.02665, std=2.91, absmax=12.51 +2025-11-04 13:00:50,816 ERROR: Encountered non-finite generator loss at iter 18282; skipping update. +2025-11-04 13:00:50,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:50,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:50,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=10.44, mean=-0.1274, std=2.342, absmax=12.01 +2025-11-04 13:00:50,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=8.492, mean=-0.1975, std=2.222, absmax=10.13 +2025-11-04 13:00:51,176 ERROR: Encountered non-finite generator loss at iter 18283; skipping update. +2025-11-04 13:00:51,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,177 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:51,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=15.94, mean=0.02032, std=3.348, absmax=15.94 +2025-11-04 13:00:51,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=13.5, mean=0.04921, std=3.067, absmax=13.5 +2025-11-04 13:00:51,535 ERROR: Encountered non-finite generator loss at iter 18284; skipping update. +2025-11-04 13:00:51,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:51,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.84, mean=-0.2907, std=2.729, absmax=12.84 +2025-11-04 13:00:51,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.1, mean=-0.271, std=2.696, absmax=12.1 +2025-11-04 13:00:51,896 ERROR: Encountered non-finite generator loss at iter 18285; skipping update. +2025-11-04 13:00:51,897 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:51,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:51,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.2, mean=-0.2464, std=3.059, absmax=13.37 +2025-11-04 13:00:51,899 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.88, mean=-0.2691, std=2.909, absmax=12.56 +2025-11-04 13:00:52,256 ERROR: Encountered non-finite generator loss at iter 18286; skipping update. +2025-11-04 13:00:52,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,257 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:52,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=12.75, mean=-0.1829, std=3.221, absmax=14.51 +2025-11-04 13:00:52,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=10.1, mean=-0.216, std=3.054, absmax=11.88 +2025-11-04 13:00:52,616 ERROR: Encountered non-finite generator loss at iter 18287; skipping update. +2025-11-04 13:00:52,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,618 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:52,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.33, max=11.55, mean=-0.2039, std=2.444, absmax=11.55 +2025-11-04 13:00:52,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=10.51, mean=-0.2071, std=2.374, absmax=11.43 +2025-11-04 13:00:52,976 ERROR: Encountered non-finite generator loss at iter 18288; skipping update. +2025-11-04 13:00:52,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:52,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:52,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=14.12, mean=-0.2048, std=2.864, absmax=14.12 +2025-11-04 13:00:52,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=14.06, mean=-0.1472, std=2.714, absmax=14.06 +2025-11-04 13:00:53,337 ERROR: Encountered non-finite generator loss at iter 18289; skipping update. +2025-11-04 13:00:53,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:53,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:53,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:53,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:53,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.56, mean=-0.433, std=3.351, absmax=13.57 +2025-11-04 13:00:53,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.65, mean=-0.4126, std=3.207, absmax=11.91 +2025-11-04 13:00:53,696 ERROR: Encountered non-finite generator loss at iter 18290; skipping update. +2025-11-04 13:00:53,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:53,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:53,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:53,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:53,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=19.83, mean=-0.3447, std=3.022, absmax=19.83 +2025-11-04 13:00:53,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=15.29, mean=-0.3118, std=2.932, absmax=15.29 +2025-11-04 13:00:54,056 ERROR: Encountered non-finite generator loss at iter 18291; skipping update. +2025-11-04 13:00:54,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:54,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.62, mean=-0.1932, std=3.022, absmax=12.45 +2025-11-04 13:00:54,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=10.12, mean=-0.2034, std=2.714, absmax=11.63 +2025-11-04 13:00:54,416 ERROR: Encountered non-finite generator loss at iter 18292; skipping update. +2025-11-04 13:00:54,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:54,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.22, mean=-0.3295, std=3.361, absmax=14.22 +2025-11-04 13:00:54,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=13.04, mean=-0.3339, std=3.279, absmax=13.04 +2025-11-04 13:00:54,776 ERROR: Encountered non-finite generator loss at iter 18293; skipping update. +2025-11-04 13:00:54,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:54,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:54,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=10.58, mean=-0.2281, std=2.804, absmax=11.98 +2025-11-04 13:00:54,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=9.206, mean=-0.234, std=2.715, absmax=11.95 +2025-11-04 13:00:55,137 ERROR: Encountered non-finite generator loss at iter 18294; skipping update. +2025-11-04 13:00:55,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:55,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=10.96, mean=-0.2788, std=2.552, absmax=13.52 +2025-11-04 13:00:55,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=9.11, mean=-0.2694, std=2.427, absmax=12.24 +2025-11-04 13:00:55,496 ERROR: Encountered non-finite generator loss at iter 18295; skipping update. +2025-11-04 13:00:55,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:55,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=9.22, mean=-0.1446, std=2.565, absmax=11.41 +2025-11-04 13:00:55,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=8.889, mean=-0.1331, std=2.406, absmax=10.57 +2025-11-04 13:00:55,857 ERROR: Encountered non-finite generator loss at iter 18296; skipping update. +2025-11-04 13:00:55,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:55,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:55,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=15.94, mean=0.1497, std=3.432, absmax=15.94 +2025-11-04 13:00:55,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=14.08, mean=0.09402, std=3.231, absmax=14.08 +2025-11-04 13:00:56,217 ERROR: Encountered non-finite generator loss at iter 18297; skipping update. +2025-11-04 13:00:56,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:56,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.38, mean=-0.2433, std=3.376, absmax=13.57 +2025-11-04 13:00:56,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.52, max=11.13, mean=-0.2159, std=3.177, absmax=13.52 +2025-11-04 13:00:56,576 ERROR: Encountered non-finite generator loss at iter 18298; skipping update. +2025-11-04 13:00:56,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:56,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.07, mean=-0.01755, std=3.039, absmax=12.36 +2025-11-04 13:00:56,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.04, mean=0.04339, std=2.932, absmax=12.04 +2025-11-04 13:00:56,936 ERROR: Encountered non-finite generator loss at iter 18299; skipping update. +2025-11-04 13:00:56,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:56,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:56,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.31, mean=-0.1292, std=3.096, absmax=13.79 +2025-11-04 13:00:56,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.45, mean=-0.1117, std=2.84, absmax=11.59 +2025-11-04 13:00:57,296 ERROR: Encountered non-finite generator loss at iter 18300; skipping update. +2025-11-04 13:00:57,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:57,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:57,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:57,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:57,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=16.52, mean=-0.04766, std=3.479, absmax=16.52 +2025-11-04 13:00:57,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.77, mean=-0.007373, std=3.435, absmax=13.77 +2025-11-04 13:00:57,300 INFO: [38..][epoch: 0, step: 18,300, lr:(2.000e-04,)] [eta: 1 day, 11:08:56, time (data): 0.360 (0.000)] +2025-11-04 13:00:57,656 ERROR: Encountered non-finite generator loss at iter 18301; skipping update. +2025-11-04 13:00:57,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:57,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:57,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:57,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:57,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.39, mean=-0.007497, std=3.431, absmax=13.39 +2025-11-04 13:00:57,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=12.5, mean=-0.008833, std=3.229, absmax=12.5 +2025-11-04 13:00:58,016 ERROR: Encountered non-finite generator loss at iter 18302; skipping update. +2025-11-04 13:00:58,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:58,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=11.92, mean=-0.07797, std=2.673, absmax=13.51 +2025-11-04 13:00:58,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=10.63, mean=-0.08782, std=2.442, absmax=12.61 +2025-11-04 13:00:58,376 ERROR: Encountered non-finite generator loss at iter 18303; skipping update. +2025-11-04 13:00:58,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:58,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=10.38, mean=-0.3352, std=2.465, absmax=11.7 +2025-11-04 13:00:58,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=8.453, mean=-0.2869, std=2.313, absmax=11.55 +2025-11-04 13:00:58,736 ERROR: Encountered non-finite generator loss at iter 18304; skipping update. +2025-11-04 13:00:58,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:58,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:58,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.5, mean=-0.09889, std=3.053, absmax=12.86 +2025-11-04 13:00:58,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.03, mean=-0.05869, std=2.845, absmax=11.37 +2025-11-04 13:00:59,097 ERROR: Encountered non-finite generator loss at iter 18305; skipping update. +2025-11-04 13:00:59,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:59,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=11.45, mean=-0.2321, std=2.834, absmax=15.19 +2025-11-04 13:00:59,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.44, max=11.33, mean=-0.2096, std=2.628, absmax=13.44 +2025-11-04 13:00:59,457 ERROR: Encountered non-finite generator loss at iter 18306; skipping update. +2025-11-04 13:00:59,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:59,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=15.43, mean=-0.3137, std=3.229, absmax=15.43 +2025-11-04 13:00:59,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=14.86, mean=-0.2778, std=3.015, absmax=14.86 +2025-11-04 13:00:59,817 ERROR: Encountered non-finite generator loss at iter 18307; skipping update. +2025-11-04 13:00:59,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:00:59,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:00:59,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=15.58, mean=-0.0661, std=2.852, absmax=15.58 +2025-11-04 13:00:59,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=13.72, mean=-0.0391, std=2.666, absmax=13.72 +2025-11-04 13:01:00,177 ERROR: Encountered non-finite generator loss at iter 18308; skipping update. +2025-11-04 13:01:00,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:00,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=16.36, mean=0.1202, std=3.557, absmax=16.36 +2025-11-04 13:01:00,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.11, max=15.68, mean=0.1328, std=3.384, absmax=15.68 +2025-11-04 13:01:00,537 ERROR: Encountered non-finite generator loss at iter 18309; skipping update. +2025-11-04 13:01:00,538 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:00,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=14.27, mean=-0.06087, std=3.481, absmax=14.74 +2025-11-04 13:01:00,540 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=13.4, mean=-0.09367, std=3.147, absmax=13.4 +2025-11-04 13:01:00,897 ERROR: Encountered non-finite generator loss at iter 18310; skipping update. +2025-11-04 13:01:00,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:00,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:00,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.56, mean=-0.1205, std=2.786, absmax=12.56 +2025-11-04 13:01:00,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=11.68, mean=-0.1327, std=2.579, absmax=11.68 +2025-11-04 13:01:01,256 ERROR: Encountered non-finite generator loss at iter 18311; skipping update. +2025-11-04 13:01:01,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:01,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.41, mean=-0.1521, std=3.067, absmax=13.41 +2025-11-04 13:01:01,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=11.44, mean=-0.1553, std=2.773, absmax=12.53 +2025-11-04 13:01:01,617 ERROR: Encountered non-finite generator loss at iter 18312; skipping update. +2025-11-04 13:01:01,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:01,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=13.04, mean=-0.1512, std=3.005, absmax=14.62 +2025-11-04 13:01:01,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=11.56, mean=-0.1527, std=2.781, absmax=12.98 +2025-11-04 13:01:01,976 ERROR: Encountered non-finite generator loss at iter 18313; skipping update. +2025-11-04 13:01:01,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:01,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:01,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.85, mean=-0.03591, std=2.996, absmax=14.85 +2025-11-04 13:01:01,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=13.18, mean=-0.04971, std=2.938, absmax=13.18 +2025-11-04 13:01:02,336 ERROR: Encountered non-finite generator loss at iter 18314; skipping update. +2025-11-04 13:01:02,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:02,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:02,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:02,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:02,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=13.09, mean=-0.2118, std=3.609, absmax=14.9 +2025-11-04 13:01:02,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=12.85, mean=-0.1794, std=3.43, absmax=13.85 +2025-11-04 13:01:02,696 ERROR: Encountered non-finite generator loss at iter 18315; skipping update. +2025-11-04 13:01:02,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:02,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:02,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:02,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:02,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=14.64, mean=0.004135, std=2.982, absmax=14.64 +2025-11-04 13:01:02,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=10.94, mean=0.008799, std=2.695, absmax=10.94 +2025-11-04 13:01:03,056 ERROR: Encountered non-finite generator loss at iter 18316; skipping update. +2025-11-04 13:01:03,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:03,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=15.61, mean=0.03959, std=3.481, absmax=15.61 +2025-11-04 13:01:03,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=14.76, mean=-0.01472, std=3.199, absmax=14.76 +2025-11-04 13:01:03,416 ERROR: Encountered non-finite generator loss at iter 18317; skipping update. +2025-11-04 13:01:03,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:03,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.45, mean=-0.04988, std=3.009, absmax=14.86 +2025-11-04 13:01:03,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=11.18, mean=-0.06022, std=2.804, absmax=12.54 +2025-11-04 13:01:03,777 ERROR: Encountered non-finite generator loss at iter 18318; skipping update. +2025-11-04 13:01:03,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:03,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:03,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.46, mean=-0.06482, std=2.655, absmax=12.46 +2025-11-04 13:01:03,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=10.2, mean=-0.08132, std=2.515, absmax=10.55 +2025-11-04 13:01:04,137 ERROR: Encountered non-finite generator loss at iter 18319; skipping update. +2025-11-04 13:01:04,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,141 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:04,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.81, max=16.43, mean=-0.1976, std=2.972, absmax=16.43 +2025-11-04 13:01:04,142 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=13.92, mean=-0.1532, std=2.856, absmax=13.92 +2025-11-04 13:01:04,499 ERROR: Encountered non-finite generator loss at iter 18320; skipping update. +2025-11-04 13:01:04,500 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,501 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,501 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:04,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=9.821, mean=-0.2925, std=2.298, absmax=10.79 +2025-11-04 13:01:04,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=7.618, mean=-0.2649, std=2.192, absmax=10.38 +2025-11-04 13:01:04,859 ERROR: Encountered non-finite generator loss at iter 18321; skipping update. +2025-11-04 13:01:04,860 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,861 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:04,861 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:04,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.16, mean=0.03594, std=3.576, absmax=14.16 +2025-11-04 13:01:04,862 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=13.75, mean=0.01734, std=3.285, absmax=13.75 +2025-11-04 13:01:05,219 ERROR: Encountered non-finite generator loss at iter 18322; skipping update. +2025-11-04 13:01:05,221 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,222 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:05,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=14.82, mean=-0.04692, std=3.382, absmax=14.82 +2025-11-04 13:01:05,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=13.69, mean=-0.01136, std=3.124, absmax=13.69 +2025-11-04 13:01:05,580 ERROR: Encountered non-finite generator loss at iter 18323; skipping update. +2025-11-04 13:01:05,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,582 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:05,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.38, mean=-0.05606, std=3.022, absmax=13.38 +2025-11-04 13:01:05,583 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.8, mean=-0.01998, std=2.801, absmax=12.8 +2025-11-04 13:01:05,940 ERROR: Encountered non-finite generator loss at iter 18324; skipping update. +2025-11-04 13:01:05,941 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:05,942 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:05,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=14.28, mean=-0.07046, std=3.166, absmax=14.28 +2025-11-04 13:01:05,943 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=11.15, mean=-0.1076, std=2.92, absmax=11.35 +2025-11-04 13:01:06,300 ERROR: Encountered non-finite generator loss at iter 18325; skipping update. +2025-11-04 13:01:06,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:06,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:06,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:06,302 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:06,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=10.85, mean=-0.2254, std=2.819, absmax=11.85 +2025-11-04 13:01:06,303 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.91, mean=-0.2017, std=2.593, absmax=11.68 +2025-11-04 13:01:06,663 ERROR: Encountered non-finite generator loss at iter 18326; skipping update. +2025-11-04 13:01:06,665 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:06,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:06,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:06,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:06,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.65, max=16.48, mean=-0.1232, std=2.766, absmax=16.48 +2025-11-04 13:01:06,670 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=15.7, mean=-0.1011, std=2.64, absmax=15.7 +2025-11-04 13:01:07,034 ERROR: Encountered non-finite generator loss at iter 18327; skipping update. +2025-11-04 13:01:07,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:07,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=10.92, mean=-0.3449, std=3.204, absmax=13.53 +2025-11-04 13:01:07,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=9.576, mean=-0.3889, std=3.052, absmax=13.26 +2025-11-04 13:01:07,394 ERROR: Encountered non-finite generator loss at iter 18328; skipping update. +2025-11-04 13:01:07,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,396 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:07,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.69, mean=-0.1765, std=2.517, absmax=12.31 +2025-11-04 13:01:07,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.966, max=12.95, mean=-0.1322, std=2.367, absmax=12.95 +2025-11-04 13:01:07,754 ERROR: Encountered non-finite generator loss at iter 18329; skipping update. +2025-11-04 13:01:07,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:07,756 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:07,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.6, max=9.461, mean=-0.2271, std=2.367, absmax=10.6 +2025-11-04 13:01:07,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=9.104, mean=-0.1927, std=2.194, absmax=10.15 +2025-11-04 13:01:08,115 ERROR: Encountered non-finite generator loss at iter 18330; skipping update. +2025-11-04 13:01:08,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:08,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=10.76, mean=-0.2147, std=2.65, absmax=11.52 +2025-11-04 13:01:08,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=9.695, mean=-0.217, std=2.467, absmax=10.12 +2025-11-04 13:01:08,476 ERROR: Encountered non-finite generator loss at iter 18331; skipping update. +2025-11-04 13:01:08,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:08,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=10.46, mean=-0.1995, std=2.714, absmax=12 +2025-11-04 13:01:08,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=9.875, mean=-0.178, std=2.51, absmax=11.52 +2025-11-04 13:01:08,836 ERROR: Encountered non-finite generator loss at iter 18332; skipping update. +2025-11-04 13:01:08,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:08,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:08,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=15.92, mean=-0.1053, std=3.219, absmax=15.92 +2025-11-04 13:01:08,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=14, mean=-0.07501, std=2.99, absmax=14 +2025-11-04 13:01:09,197 ERROR: Encountered non-finite generator loss at iter 18333; skipping update. +2025-11-04 13:01:09,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:09,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.68, mean=-0.09114, std=3.159, absmax=13.87 +2025-11-04 13:01:09,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.13, mean=-0.08148, std=2.912, absmax=12.52 +2025-11-04 13:01:09,556 ERROR: Encountered non-finite generator loss at iter 18334; skipping update. +2025-11-04 13:01:09,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:09,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.7, max=14, mean=-0.1159, std=3.182, absmax=15.7 +2025-11-04 13:01:09,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.19, max=10.62, mean=-0.09857, std=3.017, absmax=14.19 +2025-11-04 13:01:09,916 ERROR: Encountered non-finite generator loss at iter 18335; skipping update. +2025-11-04 13:01:09,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:09,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:09,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.98, max=12.61, mean=-0.1406, std=3.013, absmax=17.98 +2025-11-04 13:01:09,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.72, mean=-0.1342, std=2.75, absmax=12.41 +2025-11-04 13:01:10,275 ERROR: Encountered non-finite generator loss at iter 18336; skipping update. +2025-11-04 13:01:10,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:10,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.68, mean=-0.000682, std=3.829, absmax=13.68 +2025-11-04 13:01:10,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=13.02, mean=-0.007427, std=3.542, absmax=13.02 +2025-11-04 13:01:10,635 ERROR: Encountered non-finite generator loss at iter 18337; skipping update. +2025-11-04 13:01:10,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:10,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=11.67, mean=-0.186, std=2.544, absmax=11.67 +2025-11-04 13:01:10,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.825, max=8.817, mean=-0.1806, std=2.363, absmax=8.825 +2025-11-04 13:01:10,996 ERROR: Encountered non-finite generator loss at iter 18338; skipping update. +2025-11-04 13:01:10,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:10,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:10,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=14.09, mean=0.1036, std=3.086, absmax=14.09 +2025-11-04 13:01:10,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=11.95, mean=0.08981, std=2.878, absmax=11.95 +2025-11-04 13:01:11,356 ERROR: Encountered non-finite generator loss at iter 18339; skipping update. +2025-11-04 13:01:11,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:11,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:11,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:11,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:11,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.74, mean=-0.09611, std=2.987, absmax=13.74 +2025-11-04 13:01:11,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=11.98, mean=-0.05804, std=2.841, absmax=11.98 +2025-11-04 13:01:11,717 ERROR: Encountered non-finite generator loss at iter 18340; skipping update. +2025-11-04 13:01:11,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:11,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:11,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:11,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:11,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=10.04, mean=-0.131, std=2.324, absmax=11.77 +2025-11-04 13:01:11,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.264, max=9.868, mean=-0.09865, std=2.22, absmax=9.868 +2025-11-04 13:01:12,077 ERROR: Encountered non-finite generator loss at iter 18341; skipping update. +2025-11-04 13:01:12,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:12,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.89, mean=-0.05587, std=2.63, absmax=12.54 +2025-11-04 13:01:12,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=11.19, mean=-0.03727, std=2.494, absmax=11.81 +2025-11-04 13:01:12,437 ERROR: Encountered non-finite generator loss at iter 18342; skipping update. +2025-11-04 13:01:12,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:12,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=12.2, mean=-0.2599, std=3.6, absmax=14.31 +2025-11-04 13:01:12,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=11.72, mean=-0.2456, std=3.356, absmax=12.91 +2025-11-04 13:01:12,797 ERROR: Encountered non-finite generator loss at iter 18343; skipping update. +2025-11-04 13:01:12,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:12,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:12,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=11.51, mean=-0.2259, std=3.044, absmax=11.71 +2025-11-04 13:01:12,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.97, mean=-0.195, std=2.919, absmax=11.34 +2025-11-04 13:01:13,156 ERROR: Encountered non-finite generator loss at iter 18344; skipping update. +2025-11-04 13:01:13,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:13,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.17, mean=-0.02175, std=3.113, absmax=13.17 +2025-11-04 13:01:13,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=9.943, mean=-0.02822, std=2.874, absmax=10.32 +2025-11-04 13:01:13,517 ERROR: Encountered non-finite generator loss at iter 18345; skipping update. +2025-11-04 13:01:13,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:13,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.13, mean=-0.01223, std=2.842, absmax=13.13 +2025-11-04 13:01:13,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=12.67, mean=-0.01536, std=2.683, absmax=12.67 +2025-11-04 13:01:13,877 ERROR: Encountered non-finite generator loss at iter 18346; skipping update. +2025-11-04 13:01:13,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:13,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:13,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=15.22, mean=-0.05025, std=2.692, absmax=15.22 +2025-11-04 13:01:13,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=12.55, mean=-0.01825, std=2.541, absmax=12.55 +2025-11-04 13:01:14,237 ERROR: Encountered non-finite generator loss at iter 18347; skipping update. +2025-11-04 13:01:14,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:14,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=10.67, mean=-0.104, std=2.85, absmax=11.91 +2025-11-04 13:01:14,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=8.914, mean=-0.08602, std=2.612, absmax=10.71 +2025-11-04 13:01:14,598 ERROR: Encountered non-finite generator loss at iter 18348; skipping update. +2025-11-04 13:01:14,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:14,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=14.79, mean=-0.172, std=2.806, absmax=14.79 +2025-11-04 13:01:14,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.69, mean=-0.2061, std=2.577, absmax=11.95 +2025-11-04 13:01:14,957 ERROR: Encountered non-finite generator loss at iter 18349; skipping update. +2025-11-04 13:01:14,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:14,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:14,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.24, mean=-0.2271, std=3.088, absmax=12.49 +2025-11-04 13:01:14,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=11.88, mean=-0.1945, std=2.839, absmax=12.68 +2025-11-04 13:01:15,317 ERROR: Encountered non-finite generator loss at iter 18350; skipping update. +2025-11-04 13:01:15,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:15,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:15,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:15,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:15,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=12.7, mean=-0.2223, std=2.901, absmax=14.45 +2025-11-04 13:01:15,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=12.84, mean=-0.1936, std=2.809, absmax=12.84 +2025-11-04 13:01:15,676 ERROR: Encountered non-finite generator loss at iter 18351; skipping update. +2025-11-04 13:01:15,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:15,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:15,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:15,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:15,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=12.54, mean=-0.01993, std=3.339, absmax=15.06 +2025-11-04 13:01:15,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=11.87, mean=-0.06848, std=3.041, absmax=11.97 +2025-11-04 13:01:16,036 ERROR: Encountered non-finite generator loss at iter 18352; skipping update. +2025-11-04 13:01:16,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:16,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.57, mean=-0.1172, std=2.9, absmax=13.57 +2025-11-04 13:01:16,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=13.43, mean=-0.1496, std=2.629, absmax=13.43 +2025-11-04 13:01:16,396 ERROR: Encountered non-finite generator loss at iter 18353; skipping update. +2025-11-04 13:01:16,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:16,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.23, mean=-0.1107, std=2.968, absmax=14.23 +2025-11-04 13:01:16,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=12.48, mean=-0.1243, std=2.734, absmax=12.48 +2025-11-04 13:01:16,755 ERROR: Encountered non-finite generator loss at iter 18354; skipping update. +2025-11-04 13:01:16,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:16,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:16,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.65, mean=-0.1777, std=3.161, absmax=13.65 +2025-11-04 13:01:16,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.86, mean=-0.1119, std=2.965, absmax=12.86 +2025-11-04 13:01:17,115 ERROR: Encountered non-finite generator loss at iter 18355; skipping update. +2025-11-04 13:01:17,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:17,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.38, mean=-0.1753, std=2.773, absmax=13.38 +2025-11-04 13:01:17,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=12.36, mean=-0.1386, std=2.585, absmax=12.36 +2025-11-04 13:01:17,476 ERROR: Encountered non-finite generator loss at iter 18356; skipping update. +2025-11-04 13:01:17,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:17,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.66, mean=-0.2051, std=2.786, absmax=12.66 +2025-11-04 13:01:17,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=10.87, mean=-0.2102, std=2.524, absmax=10.87 +2025-11-04 13:01:17,836 ERROR: Encountered non-finite generator loss at iter 18357; skipping update. +2025-11-04 13:01:17,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:17,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:17,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=10.41, mean=-0.2469, std=2.759, absmax=11.89 +2025-11-04 13:01:17,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=8.868, mean=-0.3019, std=2.579, absmax=11.11 +2025-11-04 13:01:18,196 ERROR: Encountered non-finite generator loss at iter 18358; skipping update. +2025-11-04 13:01:18,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:18,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.11, mean=-0.2042, std=2.403, absmax=13.11 +2025-11-04 13:01:18,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=10.35, mean=-0.2052, std=2.279, absmax=10.35 +2025-11-04 13:01:18,556 ERROR: Encountered non-finite generator loss at iter 18359; skipping update. +2025-11-04 13:01:18,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:18,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.73, mean=-0.1469, std=2.458, absmax=13.73 +2025-11-04 13:01:18,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.761, max=12.12, mean=-0.1357, std=2.27, absmax=12.12 +2025-11-04 13:01:18,916 ERROR: Encountered non-finite generator loss at iter 18360; skipping update. +2025-11-04 13:01:18,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:18,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:18,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.47, mean=-0.143, std=3.09, absmax=13.69 +2025-11-04 13:01:18,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=10.79, mean=-0.1138, std=2.867, absmax=11.73 +2025-11-04 13:01:19,276 ERROR: Encountered non-finite generator loss at iter 18361; skipping update. +2025-11-04 13:01:19,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:19,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.88, mean=-0.1936, std=2.827, absmax=14.88 +2025-11-04 13:01:19,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=13.77, mean=-0.1833, std=2.641, absmax=13.77 +2025-11-04 13:01:19,637 ERROR: Encountered non-finite generator loss at iter 18362; skipping update. +2025-11-04 13:01:19,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:19,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.66, mean=-0.3425, std=2.971, absmax=12.86 +2025-11-04 13:01:19,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.909, mean=-0.3147, std=2.756, absmax=11.4 +2025-11-04 13:01:19,997 ERROR: Encountered non-finite generator loss at iter 18363; skipping update. +2025-11-04 13:01:19,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:19,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:20,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.48, mean=-0.1892, std=3.227, absmax=14.48 +2025-11-04 13:01:20,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.55, mean=-0.1502, std=3.14, absmax=12.55 +2025-11-04 13:01:20,356 ERROR: Encountered non-finite generator loss at iter 18364; skipping update. +2025-11-04 13:01:20,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:20,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:20,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:20,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:20,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.43, mean=-0.2975, std=2.709, absmax=12.62 +2025-11-04 13:01:20,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=9.63, mean=-0.2581, std=2.538, absmax=11.47 +2025-11-04 13:01:20,717 ERROR: Encountered non-finite generator loss at iter 18365; skipping update. +2025-11-04 13:01:20,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:20,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:20,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:20,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:20,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.35, mean=-0.2705, std=2.648, absmax=13.32 +2025-11-04 13:01:20,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.07, mean=-0.2662, std=2.5, absmax=11.6 +2025-11-04 13:01:21,077 ERROR: Encountered non-finite generator loss at iter 18366; skipping update. +2025-11-04 13:01:21,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:21,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.85, max=11.94, mean=-0.2573, std=3.004, absmax=15.85 +2025-11-04 13:01:21,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.37, max=10.66, mean=-0.2195, std=2.779, absmax=15.37 +2025-11-04 13:01:21,437 ERROR: Encountered non-finite generator loss at iter 18367; skipping update. +2025-11-04 13:01:21,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:21,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.87, mean=-0.2476, std=2.899, absmax=12.37 +2025-11-04 13:01:21,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=10.98, mean=-0.2543, std=2.73, absmax=11.95 +2025-11-04 13:01:21,797 ERROR: Encountered non-finite generator loss at iter 18368; skipping update. +2025-11-04 13:01:21,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:21,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:21,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.29, mean=-0.2809, std=2.837, absmax=12.99 +2025-11-04 13:01:21,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=10.01, mean=-0.2901, std=2.581, absmax=11.05 +2025-11-04 13:01:22,156 ERROR: Encountered non-finite generator loss at iter 18369; skipping update. +2025-11-04 13:01:22,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:22,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.36, mean=-0.06739, std=2.877, absmax=14.15 +2025-11-04 13:01:22,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=12.29, mean=-0.03179, std=2.659, absmax=12.29 +2025-11-04 13:01:22,517 ERROR: Encountered non-finite generator loss at iter 18370; skipping update. +2025-11-04 13:01:22,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:22,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.14, max=11.39, mean=-0.1317, std=2.441, absmax=11.39 +2025-11-04 13:01:22,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.117, max=11.68, mean=-0.1212, std=2.411, absmax=11.68 +2025-11-04 13:01:22,877 ERROR: Encountered non-finite generator loss at iter 18371; skipping update. +2025-11-04 13:01:22,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:22,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:22,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.78, mean=-0.2058, std=3.083, absmax=13.78 +2025-11-04 13:01:22,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=12.04, mean=-0.1863, std=2.922, absmax=13.41 +2025-11-04 13:01:23,236 ERROR: Encountered non-finite generator loss at iter 18372; skipping update. +2025-11-04 13:01:23,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:23,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.49, mean=-0.08465, std=2.775, absmax=13.49 +2025-11-04 13:01:23,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=11.57, mean=-0.06204, std=2.618, absmax=11.57 +2025-11-04 13:01:23,600 ERROR: Encountered non-finite generator loss at iter 18373; skipping update. +2025-11-04 13:01:23,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:23,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.8, mean=-0.02992, std=3.123, absmax=13.8 +2025-11-04 13:01:23,605 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.84, mean=-0.01704, std=2.846, absmax=12.84 +2025-11-04 13:01:23,963 ERROR: Encountered non-finite generator loss at iter 18374; skipping update. +2025-11-04 13:01:23,965 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,966 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:23,966 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:23,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=15.83, mean=-0.2243, std=3.094, absmax=15.83 +2025-11-04 13:01:23,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=13.05, mean=-0.2033, std=2.849, absmax=13.05 +2025-11-04 13:01:24,332 ERROR: Encountered non-finite generator loss at iter 18375; skipping update. +2025-11-04 13:01:24,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:24,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:24,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:24,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:24,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=13.46, mean=-0.1528, std=3.268, absmax=14.85 +2025-11-04 13:01:24,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.76, mean=-0.1289, std=2.88, absmax=12.38 +2025-11-04 13:01:24,695 ERROR: Encountered non-finite generator loss at iter 18376; skipping update. +2025-11-04 13:01:24,696 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:24,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:24,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:24,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:24,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.59, mean=-0.2583, std=3.425, absmax=14.59 +2025-11-04 13:01:24,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=13.36, mean=-0.253, std=3.158, absmax=13.36 +2025-11-04 13:01:25,057 ERROR: Encountered non-finite generator loss at iter 18377; skipping update. +2025-11-04 13:01:25,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:25,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.66, max=13.21, mean=-0.2746, std=2.524, absmax=13.21 +2025-11-04 13:01:25,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.942, max=12.77, mean=-0.2753, std=2.457, absmax=12.77 +2025-11-04 13:01:25,417 ERROR: Encountered non-finite generator loss at iter 18378; skipping update. +2025-11-04 13:01:25,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:25,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=12.4, mean=-0.1383, std=2.738, absmax=12.4 +2025-11-04 13:01:25,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=10.21, mean=-0.1183, std=2.538, absmax=11.17 +2025-11-04 13:01:25,779 ERROR: Encountered non-finite generator loss at iter 18379; skipping update. +2025-11-04 13:01:25,780 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:25,781 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:25,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.02, mean=-0.2285, std=3.002, absmax=13.02 +2025-11-04 13:01:25,782 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=12.62, mean=-0.2153, std=2.731, absmax=12.62 +2025-11-04 13:01:26,139 ERROR: Encountered non-finite generator loss at iter 18380; skipping update. +2025-11-04 13:01:26,140 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,141 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,141 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:26,142 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.89, mean=-0.1324, std=2.666, absmax=11.89 +2025-11-04 13:01:26,142 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.12, mean=-0.1614, std=2.494, absmax=12.12 +2025-11-04 13:01:26,499 ERROR: Encountered non-finite generator loss at iter 18381; skipping update. +2025-11-04 13:01:26,500 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,501 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,502 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:26,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.26, mean=-0.08346, std=3.071, absmax=13.81 +2025-11-04 13:01:26,503 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.09, mean=-0.07697, std=2.788, absmax=12.09 +2025-11-04 13:01:26,859 ERROR: Encountered non-finite generator loss at iter 18382; skipping update. +2025-11-04 13:01:26,861 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,861 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:26,862 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:26,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.32, mean=-0.1952, std=2.688, absmax=13.28 +2025-11-04 13:01:26,863 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=10.88, mean=-0.1953, std=2.466, absmax=11.44 +2025-11-04 13:01:27,221 ERROR: Encountered non-finite generator loss at iter 18383; skipping update. +2025-11-04 13:01:27,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:27,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=16, mean=-0.1394, std=3.207, absmax=16 +2025-11-04 13:01:27,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=15.39, mean=-0.141, std=3.015, absmax=15.39 +2025-11-04 13:01:27,581 ERROR: Encountered non-finite generator loss at iter 18384; skipping update. +2025-11-04 13:01:27,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:27,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.44, mean=-0.1042, std=2.692, absmax=12.74 +2025-11-04 13:01:27,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=10.96, mean=-0.129, std=2.463, absmax=10.96 +2025-11-04 13:01:27,941 ERROR: Encountered non-finite generator loss at iter 18385; skipping update. +2025-11-04 13:01:27,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:27,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:27,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=15.03, mean=-0.2257, std=3.257, absmax=15.03 +2025-11-04 13:01:27,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.51, max=13.06, mean=-0.195, std=2.967, absmax=13.51 +2025-11-04 13:01:28,301 ERROR: Encountered non-finite generator loss at iter 18386; skipping update. +2025-11-04 13:01:28,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:28,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:28,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:28,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:28,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=17, mean=-0.2541, std=2.845, absmax=17 +2025-11-04 13:01:28,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=15.9, mean=-0.2364, std=2.652, absmax=15.9 +2025-11-04 13:01:28,662 ERROR: Encountered non-finite generator loss at iter 18387; skipping update. +2025-11-04 13:01:28,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:28,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:28,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:28,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:28,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.48, mean=-0.1226, std=2.933, absmax=11.48 +2025-11-04 13:01:28,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=11.24, mean=-0.07628, std=2.768, absmax=11.69 +2025-11-04 13:01:29,023 ERROR: Encountered non-finite generator loss at iter 18388; skipping update. +2025-11-04 13:01:29,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:29,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=13.43, mean=-0.05774, std=2.632, absmax=13.43 +2025-11-04 13:01:29,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=12.84, mean=-0.03797, std=2.489, absmax=12.84 +2025-11-04 13:01:29,382 ERROR: Encountered non-finite generator loss at iter 18389; skipping update. +2025-11-04 13:01:29,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:29,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=17.58, mean=0.01853, std=3.903, absmax=17.58 +2025-11-04 13:01:29,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.33, max=14.32, mean=0.07842, std=3.728, absmax=14.32 +2025-11-04 13:01:29,742 ERROR: Encountered non-finite generator loss at iter 18390; skipping update. +2025-11-04 13:01:29,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:29,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:29,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=10.25, mean=-0.2525, std=2.637, absmax=12.23 +2025-11-04 13:01:29,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=8.788, mean=-0.2373, std=2.472, absmax=11.11 +2025-11-04 13:01:30,103 ERROR: Encountered non-finite generator loss at iter 18391; skipping update. +2025-11-04 13:01:30,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:30,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=10.85, mean=-0.1954, std=2.903, absmax=13.07 +2025-11-04 13:01:30,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.05, mean=-0.1656, std=2.957, absmax=11.6 +2025-11-04 13:01:30,464 ERROR: Encountered non-finite generator loss at iter 18392; skipping update. +2025-11-04 13:01:30,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:30,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.44, mean=-0.2551, std=2.724, absmax=12.93 +2025-11-04 13:01:30,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.8, mean=-0.2208, std=2.652, absmax=11.8 +2025-11-04 13:01:30,824 ERROR: Encountered non-finite generator loss at iter 18393; skipping update. +2025-11-04 13:01:30,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:30,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:30,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.99, mean=-0.3206, std=2.652, absmax=14.99 +2025-11-04 13:01:30,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.92, mean=-0.3079, std=2.493, absmax=12.81 +2025-11-04 13:01:31,185 ERROR: Encountered non-finite generator loss at iter 18394; skipping update. +2025-11-04 13:01:31,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:31,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=16.71, mean=-0.3269, std=2.55, absmax=16.71 +2025-11-04 13:01:31,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=14.05, mean=-0.2811, std=2.477, absmax=14.05 +2025-11-04 13:01:31,546 ERROR: Encountered non-finite generator loss at iter 18395; skipping update. +2025-11-04 13:01:31,547 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,548 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:31,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=13.09, mean=-0.2397, std=3.478, absmax=15.29 +2025-11-04 13:01:31,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.26, max=12.05, mean=-0.2515, std=3.325, absmax=15.26 +2025-11-04 13:01:31,907 ERROR: Encountered non-finite generator loss at iter 18396; skipping update. +2025-11-04 13:01:31,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,909 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:31,909 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:31,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.71, mean=-0.1503, std=3.236, absmax=13.95 +2025-11-04 13:01:31,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=12.45, mean=-0.1221, std=2.909, absmax=12.53 +2025-11-04 13:01:32,267 ERROR: Encountered non-finite generator loss at iter 18397; skipping update. +2025-11-04 13:01:32,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:32,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:32,269 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:32,270 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:32,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.69, max=12.23, mean=-0.193, std=2.354, absmax=12.23 +2025-11-04 13:01:32,271 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.38, max=9.042, mean=-0.1702, std=2.178, absmax=9.38 +2025-11-04 13:01:32,628 ERROR: Encountered non-finite generator loss at iter 18398; skipping update. +2025-11-04 13:01:32,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:32,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:32,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:32,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:32,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.24, mean=0.07173, std=3.27, absmax=14.24 +2025-11-04 13:01:32,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=13.39, mean=0.07933, std=3.06, absmax=13.39 +2025-11-04 13:01:32,999 ERROR: Encountered non-finite generator loss at iter 18399; skipping update. +2025-11-04 13:01:33,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,005 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:33,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.06, mean=-0.2418, std=2.701, absmax=12.18 +2025-11-04 13:01:33,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=10.04, mean=-0.27, std=2.526, absmax=11.7 +2025-11-04 13:01:33,369 ERROR: Encountered non-finite generator loss at iter 18400; skipping update. +2025-11-04 13:01:33,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:33,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=12.72, mean=-0.1549, std=2.509, absmax=12.72 +2025-11-04 13:01:33,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=12.12, mean=-0.1413, std=2.341, absmax=12.12 +2025-11-04 13:01:33,372 INFO: [38..][epoch: 0, step: 18,400, lr:(2.000e-04,)] [eta: 1 day, 10:58:59, time (data): 0.361 (0.000)] +2025-11-04 13:01:33,728 ERROR: Encountered non-finite generator loss at iter 18401; skipping update. +2025-11-04 13:01:33,729 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:33,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:33,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.98, mean=-0.2476, std=3.069, absmax=13.98 +2025-11-04 13:01:33,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=11.09, mean=-0.228, std=2.741, absmax=11.09 +2025-11-04 13:01:34,087 ERROR: Encountered non-finite generator loss at iter 18402; skipping update. +2025-11-04 13:01:34,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:34,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.42, mean=-0.1655, std=3.016, absmax=13.67 +2025-11-04 13:01:34,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=10.66, mean=-0.1826, std=2.841, absmax=12.35 +2025-11-04 13:01:34,449 ERROR: Encountered non-finite generator loss at iter 18403; skipping update. +2025-11-04 13:01:34,450 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,451 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:34,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=14.67, mean=-0.2346, std=3.115, absmax=14.67 +2025-11-04 13:01:34,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.31, mean=-0.1795, std=2.879, absmax=12.31 +2025-11-04 13:01:34,809 ERROR: Encountered non-finite generator loss at iter 18404; skipping update. +2025-11-04 13:01:34,810 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:34,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:34,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.45, mean=-0.3745, std=2.544, absmax=12.18 +2025-11-04 13:01:34,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=11.75, mean=-0.322, std=2.56, absmax=11.97 +2025-11-04 13:01:35,169 ERROR: Encountered non-finite generator loss at iter 18405; skipping update. +2025-11-04 13:01:35,170 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:35,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.13, mean=-0.1743, std=2.931, absmax=13.13 +2025-11-04 13:01:35,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.27, mean=-0.1711, std=2.826, absmax=11.89 +2025-11-04 13:01:35,530 ERROR: Encountered non-finite generator loss at iter 18406; skipping update. +2025-11-04 13:01:35,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,531 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,532 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:35,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=14.23, mean=-0.1668, std=2.647, absmax=15.05 +2025-11-04 13:01:35,533 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=11.74, mean=-0.166, std=2.427, absmax=13.42 +2025-11-04 13:01:35,891 ERROR: Encountered non-finite generator loss at iter 18407; skipping update. +2025-11-04 13:01:35,892 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,893 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:35,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:35,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=10.47, mean=-0.1595, std=3.093, absmax=13.7 +2025-11-04 13:01:35,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=10.61, mean=-0.1343, std=2.854, absmax=12.06 +2025-11-04 13:01:36,252 ERROR: Encountered non-finite generator loss at iter 18408; skipping update. +2025-11-04 13:01:36,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:36,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=14.51, mean=-0.134, std=3.275, absmax=14.51 +2025-11-04 13:01:36,255 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=12.02, mean=-0.1364, std=2.927, absmax=12.2 +2025-11-04 13:01:36,612 ERROR: Encountered non-finite generator loss at iter 18409; skipping update. +2025-11-04 13:01:36,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:36,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=12.65, mean=-0.2893, std=3.422, absmax=14.64 +2025-11-04 13:01:36,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=11.54, mean=-0.2886, std=3.228, absmax=14.03 +2025-11-04 13:01:36,972 ERROR: Encountered non-finite generator loss at iter 18410; skipping update. +2025-11-04 13:01:36,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:36,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:36,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.58, mean=0.1932, std=3.845, absmax=13.58 +2025-11-04 13:01:36,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=13.21, mean=0.1969, std=3.55, absmax=13.21 +2025-11-04 13:01:37,333 ERROR: Encountered non-finite generator loss at iter 18411; skipping update. +2025-11-04 13:01:37,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:37,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:37,335 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:37,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:37,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=13.17, mean=-0.2919, std=3.235, absmax=13.71 +2025-11-04 13:01:37,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.86, mean=-0.2787, std=2.933, absmax=12.02 +2025-11-04 13:01:37,694 ERROR: Encountered non-finite generator loss at iter 18412; skipping update. +2025-11-04 13:01:37,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:37,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:37,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:37,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:37,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.54, mean=-0.06376, std=2.75, absmax=12.54 +2025-11-04 13:01:37,697 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.092, max=10.56, mean=-0.05956, std=2.565, absmax=10.56 +2025-11-04 13:01:38,054 ERROR: Encountered non-finite generator loss at iter 18413; skipping update. +2025-11-04 13:01:38,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,057 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:38,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=12.63, mean=-0.08041, std=2.803, absmax=14.51 +2025-11-04 13:01:38,058 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=11.33, mean=-0.09752, std=2.645, absmax=12.48 +2025-11-04 13:01:38,415 ERROR: Encountered non-finite generator loss at iter 18414; skipping update. +2025-11-04 13:01:38,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,417 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:38,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.43, mean=-0.1233, std=2.895, absmax=13.43 +2025-11-04 13:01:38,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=11.17, mean=-0.1194, std=2.633, absmax=12.72 +2025-11-04 13:01:38,776 ERROR: Encountered non-finite generator loss at iter 18415; skipping update. +2025-11-04 13:01:38,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:38,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:38,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.87, mean=-0.1342, std=2.811, absmax=13.13 +2025-11-04 13:01:38,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.18, mean=-0.1164, std=2.65, absmax=11.21 +2025-11-04 13:01:39,136 ERROR: Encountered non-finite generator loss at iter 18416; skipping update. +2025-11-04 13:01:39,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:39,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=15.02, mean=0.07336, std=3.895, absmax=15.02 +2025-11-04 13:01:39,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=14.53, mean=0.0973, std=3.589, absmax=14.53 +2025-11-04 13:01:39,496 ERROR: Encountered non-finite generator loss at iter 18417; skipping update. +2025-11-04 13:01:39,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,498 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:39,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.23, max=14.39, mean=0.1459, std=3.463, absmax=16.23 +2025-11-04 13:01:39,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=12.81, mean=0.1094, std=3.206, absmax=12.81 +2025-11-04 13:01:39,856 ERROR: Encountered non-finite generator loss at iter 18418; skipping update. +2025-11-04 13:01:39,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:39,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:39,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=11.56, mean=-0.242, std=2.842, absmax=13.88 +2025-11-04 13:01:39,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=9.65, mean=-0.2082, std=2.601, absmax=12.79 +2025-11-04 13:01:40,217 ERROR: Encountered non-finite generator loss at iter 18419; skipping update. +2025-11-04 13:01:40,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:40,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.9, mean=-0.08622, std=2.862, absmax=12.11 +2025-11-04 13:01:40,221 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=11.63, mean=-0.04213, std=2.739, absmax=11.63 +2025-11-04 13:01:40,577 ERROR: Encountered non-finite generator loss at iter 18420; skipping update. +2025-11-04 13:01:40,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:40,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=13.74, mean=0.02349, std=3.211, absmax=15.12 +2025-11-04 13:01:40,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=12.39, mean=0.03088, std=2.959, absmax=13.23 +2025-11-04 13:01:40,937 ERROR: Encountered non-finite generator loss at iter 18421; skipping update. +2025-11-04 13:01:40,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:40,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:40,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.46, mean=-0.3155, std=3.054, absmax=13.46 +2025-11-04 13:01:40,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.81, mean=-0.3116, std=2.941, absmax=12.81 +2025-11-04 13:01:41,297 ERROR: Encountered non-finite generator loss at iter 18422; skipping update. +2025-11-04 13:01:41,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:41,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:41,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:41,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:41,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=12.5, mean=0.1109, std=3.486, absmax=14.21 +2025-11-04 13:01:41,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.51, mean=0.1118, std=3.215, absmax=11.83 +2025-11-04 13:01:41,658 ERROR: Encountered non-finite generator loss at iter 18423; skipping update. +2025-11-04 13:01:41,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:41,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:41,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:41,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:41,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.33, mean=-0.1993, std=2.408, absmax=12.48 +2025-11-04 13:01:41,662 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.63, mean=-0.1768, std=2.387, absmax=11.59 +2025-11-04 13:01:42,018 ERROR: Encountered non-finite generator loss at iter 18424; skipping update. +2025-11-04 13:01:42,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:42,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.07, mean=-0.1154, std=3.365, absmax=14.07 +2025-11-04 13:01:42,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=13.79, mean=-0.1275, std=3.16, absmax=13.79 +2025-11-04 13:01:42,377 ERROR: Encountered non-finite generator loss at iter 18425; skipping update. +2025-11-04 13:01:42,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:42,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=15.03, mean=-0.1503, std=2.757, absmax=15.03 +2025-11-04 13:01:42,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.4, mean=-0.1627, std=2.487, absmax=12.4 +2025-11-04 13:01:42,737 ERROR: Encountered non-finite generator loss at iter 18426; skipping update. +2025-11-04 13:01:42,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:42,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:42,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=14.92, mean=-0.208, std=2.566, absmax=14.92 +2025-11-04 13:01:42,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=14.32, mean=-0.1887, std=2.415, absmax=14.32 +2025-11-04 13:01:43,097 ERROR: Encountered non-finite generator loss at iter 18427; skipping update. +2025-11-04 13:01:43,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:43,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.26, mean=0.03013, std=3.019, absmax=14.26 +2025-11-04 13:01:43,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=13.28, mean=-0.01476, std=2.829, absmax=13.28 +2025-11-04 13:01:43,456 ERROR: Encountered non-finite generator loss at iter 18428; skipping update. +2025-11-04 13:01:43,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:43,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.09, mean=-0.2154, std=3.557, absmax=14.09 +2025-11-04 13:01:43,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=13.01, mean=-0.2247, std=3.345, absmax=13.1 +2025-11-04 13:01:43,817 ERROR: Encountered non-finite generator loss at iter 18429; skipping update. +2025-11-04 13:01:43,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:43,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:43,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=13.05, mean=0.0195, std=2.779, absmax=13.05 +2025-11-04 13:01:43,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=11.32, mean=0.01675, std=2.637, absmax=11.32 +2025-11-04 13:01:44,176 ERROR: Encountered non-finite generator loss at iter 18430; skipping update. +2025-11-04 13:01:44,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:44,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=12.86, mean=-0.1277, std=2.603, absmax=12.86 +2025-11-04 13:01:44,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=11.51, mean=-0.1458, std=2.479, absmax=11.51 +2025-11-04 13:01:44,538 ERROR: Encountered non-finite generator loss at iter 18431; skipping update. +2025-11-04 13:01:44,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,540 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:44,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.89, mean=-0.06472, std=2.996, absmax=13.89 +2025-11-04 13:01:44,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=13.43, mean=-0.04087, std=2.781, absmax=13.43 +2025-11-04 13:01:44,898 ERROR: Encountered non-finite generator loss at iter 18432; skipping update. +2025-11-04 13:01:44,899 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:44,900 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:44,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.55, mean=-0.1203, std=2.65, absmax=12.55 +2025-11-04 13:01:44,901 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.25, mean=-0.1199, std=2.567, absmax=12.18 +2025-11-04 13:01:45,257 ERROR: Encountered non-finite generator loss at iter 18433; skipping update. +2025-11-04 13:01:45,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:45,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.52, mean=-0.263, std=3.311, absmax=14.52 +2025-11-04 13:01:45,261 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=14.29, mean=-0.2193, std=3.092, absmax=14.29 +2025-11-04 13:01:45,618 ERROR: Encountered non-finite generator loss at iter 18434; skipping update. +2025-11-04 13:01:45,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:45,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.8, mean=-0.09266, std=2.921, absmax=13.8 +2025-11-04 13:01:45,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=11.39, mean=-0.1154, std=2.792, absmax=11.44 +2025-11-04 13:01:45,978 ERROR: Encountered non-finite generator loss at iter 18435; skipping update. +2025-11-04 13:01:45,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,980 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:45,980 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:45,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.25, mean=-0.2233, std=3.009, absmax=13.36 +2025-11-04 13:01:45,982 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=10.37, mean=-0.191, std=2.732, absmax=12.36 +2025-11-04 13:01:46,338 ERROR: Encountered non-finite generator loss at iter 18436; skipping update. +2025-11-04 13:01:46,339 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:46,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:46,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:46,340 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:46,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.57, mean=-0.08542, std=3.322, absmax=13.57 +2025-11-04 13:01:46,341 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=12.22, mean=-0.1072, std=3.133, absmax=12.62 +2025-11-04 13:01:46,697 ERROR: Encountered non-finite generator loss at iter 18437; skipping update. +2025-11-04 13:01:46,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:46,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:46,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:46,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:46,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.4, max=15.33, mean=-0.1846, std=2.766, absmax=16.4 +2025-11-04 13:01:46,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.18, mean=-0.1788, std=2.566, absmax=12.18 +2025-11-04 13:01:47,056 ERROR: Encountered non-finite generator loss at iter 18438; skipping update. +2025-11-04 13:01:47,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:47,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=15.39, mean=-0.003843, std=3.914, absmax=15.39 +2025-11-04 13:01:47,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=14.73, mean=-0.006108, std=3.696, absmax=14.73 +2025-11-04 13:01:47,418 ERROR: Encountered non-finite generator loss at iter 18439; skipping update. +2025-11-04 13:01:47,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,420 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:47,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.33, mean=0.166, std=3.524, absmax=14.33 +2025-11-04 13:01:47,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=13.68, mean=0.1595, std=3.27, absmax=13.68 +2025-11-04 13:01:47,777 ERROR: Encountered non-finite generator loss at iter 18440; skipping update. +2025-11-04 13:01:47,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:47,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:47,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=10.61, mean=-0.1909, std=2.939, absmax=13.05 +2025-11-04 13:01:47,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=9.471, mean=-0.1613, std=2.706, absmax=11.91 +2025-11-04 13:01:48,137 ERROR: Encountered non-finite generator loss at iter 18441; skipping update. +2025-11-04 13:01:48,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,140 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:48,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=13.74, mean=-0.2029, std=3.274, absmax=14.76 +2025-11-04 13:01:48,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=13.63, mean=-0.1573, std=3.006, absmax=13.63 +2025-11-04 13:01:48,497 ERROR: Encountered non-finite generator loss at iter 18442; skipping update. +2025-11-04 13:01:48,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:48,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=13.72, mean=-0.2423, std=2.884, absmax=14.14 +2025-11-04 13:01:48,501 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=11.45, mean=-0.2232, std=2.617, absmax=12.48 +2025-11-04 13:01:48,857 ERROR: Encountered non-finite generator loss at iter 18443; skipping update. +2025-11-04 13:01:48,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:48,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:48,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=16.66, mean=-0.1516, std=3.544, absmax=16.66 +2025-11-04 13:01:48,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=15.03, mean=-0.1326, std=3.307, absmax=15.03 +2025-11-04 13:01:49,217 ERROR: Encountered non-finite generator loss at iter 18444; skipping update. +2025-11-04 13:01:49,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:49,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=14.41, mean=-0.05929, std=2.994, absmax=14.41 +2025-11-04 13:01:49,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=12.64, mean=-0.02787, std=2.755, absmax=12.64 +2025-11-04 13:01:49,576 ERROR: Encountered non-finite generator loss at iter 18445; skipping update. +2025-11-04 13:01:49,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:49,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.42, mean=-0.03377, std=2.766, absmax=13.42 +2025-11-04 13:01:49,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.17, mean=-0.04429, std=2.647, absmax=11.79 +2025-11-04 13:01:49,937 ERROR: Encountered non-finite generator loss at iter 18446; skipping update. +2025-11-04 13:01:49,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:49,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:49,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.21, mean=-0.1819, std=3.165, absmax=12.63 +2025-11-04 13:01:49,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=10.33, mean=-0.1993, std=2.931, absmax=11.88 +2025-11-04 13:01:50,297 ERROR: Encountered non-finite generator loss at iter 18447; skipping update. +2025-11-04 13:01:50,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:50,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:50,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:50,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:50,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=15.16, mean=-0.08488, std=3.849, absmax=15.16 +2025-11-04 13:01:50,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=15.04, mean=-0.06383, std=3.686, absmax=15.04 +2025-11-04 13:01:50,657 ERROR: Encountered non-finite generator loss at iter 18448; skipping update. +2025-11-04 13:01:50,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:50,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:50,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:50,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:50,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=12.83, mean=-0.2547, std=2.803, absmax=12.83 +2025-11-04 13:01:50,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=11.92, mean=-0.2276, std=2.628, absmax=11.92 +2025-11-04 13:01:51,017 ERROR: Encountered non-finite generator loss at iter 18449; skipping update. +2025-11-04 13:01:51,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:51,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=15.69, mean=-0.03945, std=2.697, absmax=15.69 +2025-11-04 13:01:51,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=14.06, mean=-0.05757, std=2.475, absmax=14.06 +2025-11-04 13:01:51,377 ERROR: Encountered non-finite generator loss at iter 18450; skipping update. +2025-11-04 13:01:51,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:51,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=13.83, mean=-0.2369, std=2.927, absmax=13.83 +2025-11-04 13:01:51,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=12.88, mean=-0.1949, std=2.64, absmax=12.88 +2025-11-04 13:01:51,737 ERROR: Encountered non-finite generator loss at iter 18451; skipping update. +2025-11-04 13:01:51,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:51,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:51,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.8, mean=-0.1303, std=3.2, absmax=12.72 +2025-11-04 13:01:51,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=13.81, mean=-0.06953, std=2.992, absmax=13.81 +2025-11-04 13:01:52,097 ERROR: Encountered non-finite generator loss at iter 18452; skipping update. +2025-11-04 13:01:52,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:52,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=9.854, mean=-0.3938, std=2.957, absmax=13.33 +2025-11-04 13:01:52,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=9.031, mean=-0.3721, std=2.783, absmax=11.81 +2025-11-04 13:01:52,457 ERROR: Encountered non-finite generator loss at iter 18453; skipping update. +2025-11-04 13:01:52,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:52,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.21, mean=-0.04959, std=3.788, absmax=13.27 +2025-11-04 13:01:52,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.44, mean=-0.08263, std=3.55, absmax=12.44 +2025-11-04 13:01:52,817 ERROR: Encountered non-finite generator loss at iter 18454; skipping update. +2025-11-04 13:01:52,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:52,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:52,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.65, mean=-0.2035, std=3.384, absmax=13.21 +2025-11-04 13:01:52,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.35, mean=-0.2027, std=3.203, absmax=12.29 +2025-11-04 13:01:53,177 ERROR: Encountered non-finite generator loss at iter 18455; skipping update. +2025-11-04 13:01:53,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:53,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=17.34, mean=-0.299, std=2.991, absmax=17.34 +2025-11-04 13:01:53,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=13.71, mean=-0.2423, std=2.913, absmax=13.71 +2025-11-04 13:01:53,538 ERROR: Encountered non-finite generator loss at iter 18456; skipping update. +2025-11-04 13:01:53,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:53,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.43, mean=-0.08127, std=3.128, absmax=12.43 +2025-11-04 13:01:53,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=12.24, mean=-0.08583, std=2.894, absmax=12.24 +2025-11-04 13:01:53,897 ERROR: Encountered non-finite generator loss at iter 18457; skipping update. +2025-11-04 13:01:53,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:53,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:53,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.48, mean=0.02581, std=3.039, absmax=13.08 +2025-11-04 13:01:53,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=10.73, mean=0.01359, std=2.759, absmax=10.73 +2025-11-04 13:01:54,256 ERROR: Encountered non-finite generator loss at iter 18458; skipping update. +2025-11-04 13:01:54,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:54,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=15.06, mean=0.02374, std=2.988, absmax=15.06 +2025-11-04 13:01:54,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=12.58, mean=0.01722, std=2.76, absmax=12.58 +2025-11-04 13:01:54,617 ERROR: Encountered non-finite generator loss at iter 18459; skipping update. +2025-11-04 13:01:54,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:54,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=12.77, mean=-0.1125, std=2.75, absmax=12.77 +2025-11-04 13:01:54,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=12.2, mean=-0.1045, std=2.641, absmax=12.2 +2025-11-04 13:01:54,976 ERROR: Encountered non-finite generator loss at iter 18460; skipping update. +2025-11-04 13:01:54,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:54,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:54,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.25, mean=-0.2313, std=2.876, absmax=12.66 +2025-11-04 13:01:54,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=9.245, mean=-0.2382, std=2.649, absmax=10.99 +2025-11-04 13:01:55,336 ERROR: Encountered non-finite generator loss at iter 18461; skipping update. +2025-11-04 13:01:55,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:55,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:55,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:55,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:55,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.05, mean=-0.09747, std=3.34, absmax=13.05 +2025-11-04 13:01:55,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=11.64, mean=-0.09338, std=3.18, absmax=12.32 +2025-11-04 13:01:55,696 ERROR: Encountered non-finite generator loss at iter 18462; skipping update. +2025-11-04 13:01:55,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:55,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:55,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:55,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:55,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=10.27, mean=-0.2373, std=2.694, absmax=14.43 +2025-11-04 13:01:55,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=8.809, mean=-0.2112, std=2.567, absmax=11.11 +2025-11-04 13:01:56,056 ERROR: Encountered non-finite generator loss at iter 18463; skipping update. +2025-11-04 13:01:56,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:56,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=11.76, mean=-0.1541, std=2.943, absmax=14.2 +2025-11-04 13:01:56,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=10.63, mean=-0.1399, std=2.666, absmax=13.08 +2025-11-04 13:01:56,416 ERROR: Encountered non-finite generator loss at iter 18464; skipping update. +2025-11-04 13:01:56,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:56,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=20.61, mean=-0.3005, std=3.387, absmax=20.61 +2025-11-04 13:01:56,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=17.47, mean=-0.3071, std=3.149, absmax=17.47 +2025-11-04 13:01:56,776 ERROR: Encountered non-finite generator loss at iter 18465; skipping update. +2025-11-04 13:01:56,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:56,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:56,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.53, mean=-0.3616, std=2.967, absmax=13.23 +2025-11-04 13:01:56,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=9.866, mean=-0.3116, std=2.744, absmax=12.76 +2025-11-04 13:01:57,136 ERROR: Encountered non-finite generator loss at iter 18466; skipping update. +2025-11-04 13:01:57,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:57,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.43, max=14.18, mean=0.03447, std=3.847, absmax=15.43 +2025-11-04 13:01:57,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=13.24, mean=0.03058, std=3.561, absmax=13.24 +2025-11-04 13:01:57,497 ERROR: Encountered non-finite generator loss at iter 18467; skipping update. +2025-11-04 13:01:57,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:57,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.86, mean=-0.0111, std=3.327, absmax=13.86 +2025-11-04 13:01:57,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=13, mean=-0.04868, std=3.076, absmax=13.04 +2025-11-04 13:01:57,856 ERROR: Encountered non-finite generator loss at iter 18468; skipping update. +2025-11-04 13:01:57,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:57,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:57,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=14.42, mean=0.07587, std=3.096, absmax=14.42 +2025-11-04 13:01:57,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=12.92, mean=0.08341, std=2.922, absmax=12.92 +2025-11-04 13:01:58,216 ERROR: Encountered non-finite generator loss at iter 18469; skipping update. +2025-11-04 13:01:58,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:58,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.07, mean=-0.1888, std=2.919, absmax=12.29 +2025-11-04 13:01:58,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=10.45, mean=-0.15, std=2.722, absmax=10.45 +2025-11-04 13:01:58,576 ERROR: Encountered non-finite generator loss at iter 18470; skipping update. +2025-11-04 13:01:58,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:58,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.87, mean=-0.1409, std=3.216, absmax=12.41 +2025-11-04 13:01:58,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=10.64, mean=-0.1041, std=3.017, absmax=11.56 +2025-11-04 13:01:58,936 ERROR: Encountered non-finite generator loss at iter 18471; skipping update. +2025-11-04 13:01:58,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:58,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:58,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.44, mean=0.1124, std=3.3, absmax=14.44 +2025-11-04 13:01:58,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=13.3, mean=0.1338, std=3.02, absmax=13.3 +2025-11-04 13:01:59,296 ERROR: Encountered non-finite generator loss at iter 18472; skipping update. +2025-11-04 13:01:59,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:59,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:59,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:59,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:59,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.3, mean=-0.2129, std=2.655, absmax=13.47 +2025-11-04 13:01:59,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.77, mean=-0.2102, std=2.448, absmax=11.87 +2025-11-04 13:01:59,656 ERROR: Encountered non-finite generator loss at iter 18473; skipping update. +2025-11-04 13:01:59,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:59,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:01:59,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:01:59,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:01:59,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.01, mean=-0.2452, std=2.823, absmax=12.02 +2025-11-04 13:01:59,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=8.767, mean=-0.1949, std=2.572, absmax=12.01 +2025-11-04 13:02:00,017 ERROR: Encountered non-finite generator loss at iter 18474; skipping update. +2025-11-04 13:02:00,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:00,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=11.63, mean=-0.1844, std=2.676, absmax=14.23 +2025-11-04 13:02:00,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=10.83, mean=-0.1709, std=2.542, absmax=12.38 +2025-11-04 13:02:00,377 ERROR: Encountered non-finite generator loss at iter 18475; skipping update. +2025-11-04 13:02:00,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:00,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=14.22, mean=-0.1156, std=3.245, absmax=14.22 +2025-11-04 13:02:00,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=13.58, mean=-0.08382, std=3.131, absmax=13.58 +2025-11-04 13:02:00,737 ERROR: Encountered non-finite generator loss at iter 18476; skipping update. +2025-11-04 13:02:00,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:00,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:00,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=15.49, mean=0.1722, std=3.738, absmax=15.49 +2025-11-04 13:02:00,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=14.33, mean=0.1887, std=3.527, absmax=14.33 +2025-11-04 13:02:01,096 ERROR: Encountered non-finite generator loss at iter 18477; skipping update. +2025-11-04 13:02:01,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:01,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.92, mean=-0.1086, std=2.81, absmax=12.07 +2025-11-04 13:02:01,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.64, mean=-0.1042, std=2.643, absmax=11.64 +2025-11-04 13:02:01,456 ERROR: Encountered non-finite generator loss at iter 18478; skipping update. +2025-11-04 13:02:01,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:01,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.52, mean=-0.2282, std=3.04, absmax=13.52 +2025-11-04 13:02:01,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=12.63, mean=-0.1915, std=2.867, absmax=12.63 +2025-11-04 13:02:01,816 ERROR: Encountered non-finite generator loss at iter 18479; skipping update. +2025-11-04 13:02:01,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:01,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:01,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.63, mean=0.1177, std=3.369, absmax=14.63 +2025-11-04 13:02:01,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=13.01, mean=0.06299, std=3.05, absmax=13.01 +2025-11-04 13:02:02,175 ERROR: Encountered non-finite generator loss at iter 18480; skipping update. +2025-11-04 13:02:02,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,177 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:02,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.44, mean=-0.4159, std=3.241, absmax=13.44 +2025-11-04 13:02:02,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=10.68, mean=-0.3612, std=2.985, absmax=12.19 +2025-11-04 13:02:02,536 ERROR: Encountered non-finite generator loss at iter 18481; skipping update. +2025-11-04 13:02:02,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:02,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=17.5, mean=-0.2223, std=3.158, absmax=17.5 +2025-11-04 13:02:02,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=14.76, mean=-0.1755, std=2.939, absmax=14.76 +2025-11-04 13:02:02,896 ERROR: Encountered non-finite generator loss at iter 18482; skipping update. +2025-11-04 13:02:02,897 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:02,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:02,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.97, mean=0.298, std=3.668, absmax=14.97 +2025-11-04 13:02:02,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=13.61, mean=0.2679, std=3.348, absmax=13.61 +2025-11-04 13:02:03,257 ERROR: Encountered non-finite generator loss at iter 18483; skipping update. +2025-11-04 13:02:03,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:03,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.16, mean=-0.1902, std=3.14, absmax=14.16 +2025-11-04 13:02:03,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=12.6, mean=-0.1571, std=2.853, absmax=12.6 +2025-11-04 13:02:03,616 ERROR: Encountered non-finite generator loss at iter 18484; skipping update. +2025-11-04 13:02:03,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,618 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:03,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=13.94, mean=-0.3125, std=3.288, absmax=14.35 +2025-11-04 13:02:03,619 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.79, mean=-0.286, std=3.02, absmax=12.5 +2025-11-04 13:02:03,976 ERROR: Encountered non-finite generator loss at iter 18485; skipping update. +2025-11-04 13:02:03,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:03,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:03,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=15.59, mean=-0.004994, std=2.905, absmax=15.59 +2025-11-04 13:02:03,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=14.07, mean=-0.03263, std=2.611, absmax=14.07 +2025-11-04 13:02:04,337 ERROR: Encountered non-finite generator loss at iter 18486; skipping update. +2025-11-04 13:02:04,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:04,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:04,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:04,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:04,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.75, mean=-0.149, std=2.64, absmax=12.75 +2025-11-04 13:02:04,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=10.98, mean=-0.1083, std=2.52, absmax=10.98 +2025-11-04 13:02:04,696 ERROR: Encountered non-finite generator loss at iter 18487; skipping update. +2025-11-04 13:02:04,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:04,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:04,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:04,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:04,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=10.89, mean=-0.3074, std=3.428, absmax=12.99 +2025-11-04 13:02:04,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=10.42, mean=-0.2716, std=3.254, absmax=12.91 +2025-11-04 13:02:05,056 ERROR: Encountered non-finite generator loss at iter 18488; skipping update. +2025-11-04 13:02:05,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,057 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:05,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.23, mean=-0.04534, std=2.968, absmax=14.23 +2025-11-04 13:02:05,058 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=12.85, mean=-0.04741, std=2.753, absmax=12.85 +2025-11-04 13:02:05,416 ERROR: Encountered non-finite generator loss at iter 18489; skipping update. +2025-11-04 13:02:05,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:05,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=10.76, mean=-0.1391, std=2.499, absmax=10.81 +2025-11-04 13:02:05,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.722, max=10.57, mean=-0.115, std=2.405, absmax=10.57 +2025-11-04 13:02:05,776 ERROR: Encountered non-finite generator loss at iter 18490; skipping update. +2025-11-04 13:02:05,776 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:05,777 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:05,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.78, mean=-0.1516, std=2.887, absmax=12.4 +2025-11-04 13:02:05,778 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.48, mean=-0.1481, std=2.572, absmax=11.48 +2025-11-04 13:02:06,135 ERROR: Encountered non-finite generator loss at iter 18491; skipping update. +2025-11-04 13:02:06,136 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,137 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:06,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=13.04, mean=-0.1004, std=2.578, absmax=13.04 +2025-11-04 13:02:06,139 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=11.33, mean=-0.1394, std=2.397, absmax=11.33 +2025-11-04 13:02:06,496 ERROR: Encountered non-finite generator loss at iter 18492; skipping update. +2025-11-04 13:02:06,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,497 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:06,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.8, mean=-0.2277, std=2.821, absmax=12.83 +2025-11-04 13:02:06,498 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.38, mean=-0.2243, std=2.674, absmax=11.39 +2025-11-04 13:02:06,856 ERROR: Encountered non-finite generator loss at iter 18493; skipping update. +2025-11-04 13:02:06,856 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,857 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:06,857 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:06,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=11.29, mean=-0.228, std=2.464, absmax=11.34 +2025-11-04 13:02:06,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=12.35, mean=-0.1979, std=2.37, absmax=12.35 +2025-11-04 13:02:07,215 ERROR: Encountered non-finite generator loss at iter 18494; skipping update. +2025-11-04 13:02:07,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,216 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,217 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:07,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.48, mean=-0.1297, std=2.901, absmax=12.48 +2025-11-04 13:02:07,218 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.51, mean=-0.1281, std=2.691, absmax=11.46 +2025-11-04 13:02:07,575 ERROR: Encountered non-finite generator loss at iter 18495; skipping update. +2025-11-04 13:02:07,575 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,576 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,576 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:07,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=13.19, mean=0.05393, std=3.098, absmax=13.19 +2025-11-04 13:02:07,577 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=11.46, mean=0.01443, std=2.802, absmax=11.46 +2025-11-04 13:02:07,934 ERROR: Encountered non-finite generator loss at iter 18496; skipping update. +2025-11-04 13:02:07,935 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:07,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:07,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=14.55, mean=-0.2119, std=2.648, absmax=14.55 +2025-11-04 13:02:07,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=11.53, mean=-0.203, std=2.471, absmax=11.53 +2025-11-04 13:02:08,296 ERROR: Encountered non-finite generator loss at iter 18497; skipping update. +2025-11-04 13:02:08,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:08,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:08,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:08,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:08,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=10.44, mean=-0.3046, std=2.445, absmax=11.46 +2025-11-04 13:02:08,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=9.87, mean=-0.2716, std=2.407, absmax=10.65 +2025-11-04 13:02:08,657 ERROR: Encountered non-finite generator loss at iter 18498; skipping update. +2025-11-04 13:02:08,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:08,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:08,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:08,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:08,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=13.46, mean=-0.01782, std=2.949, absmax=14.51 +2025-11-04 13:02:08,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=14.47, mean=-0.02645, std=2.74, absmax=14.47 +2025-11-04 13:02:09,017 ERROR: Encountered non-finite generator loss at iter 18499; skipping update. +2025-11-04 13:02:09,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:09,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=10.8, mean=-0.2239, std=2.984, absmax=13.62 +2025-11-04 13:02:09,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=9.624, mean=-0.1652, std=2.794, absmax=11.52 +2025-11-04 13:02:09,377 ERROR: Encountered non-finite generator loss at iter 18500; skipping update. +2025-11-04 13:02:09,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:09,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.62, mean=-0.3105, std=3.315, absmax=13.62 +2025-11-04 13:02:09,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=14.76, mean=-0.3244, std=3.28, absmax=14.76 +2025-11-04 13:02:09,380 INFO: [38..][epoch: 0, step: 18,500, lr:(2.000e-04,)] [eta: 1 day, 10:49:08, time (data): 0.360 (0.000)] +2025-11-04 13:02:09,737 ERROR: Encountered non-finite generator loss at iter 18501; skipping update. +2025-11-04 13:02:09,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:09,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:09,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.86, mean=-0.2062, std=2.938, absmax=12.36 +2025-11-04 13:02:09,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=11.13, mean=-0.1994, std=2.783, absmax=12.4 +2025-11-04 13:02:10,096 ERROR: Encountered non-finite generator loss at iter 18502; skipping update. +2025-11-04 13:02:10,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:10,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.2, mean=-0.1216, std=3.526, absmax=13.2 +2025-11-04 13:02:10,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.85, mean=-0.08313, std=3.208, absmax=11.85 +2025-11-04 13:02:10,455 ERROR: Encountered non-finite generator loss at iter 18503; skipping update. +2025-11-04 13:02:10,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,456 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:10,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=14.89, mean=-0.1661, std=2.927, absmax=14.89 +2025-11-04 13:02:10,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=12.73, mean=-0.1052, std=2.661, absmax=12.73 +2025-11-04 13:02:10,815 ERROR: Encountered non-finite generator loss at iter 18504; skipping update. +2025-11-04 13:02:10,815 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,816 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:10,816 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:10,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.52, mean=0.01685, std=3.215, absmax=12.52 +2025-11-04 13:02:10,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.55, mean=0.0403, std=2.982, absmax=11.55 +2025-11-04 13:02:11,175 ERROR: Encountered non-finite generator loss at iter 18505; skipping update. +2025-11-04 13:02:11,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:11,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.09, mean=0.08938, std=3.204, absmax=15.09 +2025-11-04 13:02:11,177 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=14.15, mean=0.1376, std=3.031, absmax=14.15 +2025-11-04 13:02:11,534 ERROR: Encountered non-finite generator loss at iter 18506; skipping update. +2025-11-04 13:02:11,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:11,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.64, mean=-0.1766, std=2.644, absmax=12.66 +2025-11-04 13:02:11,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=10.18, mean=-0.1691, std=2.493, absmax=12.19 +2025-11-04 13:02:11,894 ERROR: Encountered non-finite generator loss at iter 18507; skipping update. +2025-11-04 13:02:11,895 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:11,895 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:11,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=14.13, mean=-0.09531, std=3.236, absmax=14.5 +2025-11-04 13:02:11,896 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=12.88, mean=-0.1116, std=2.963, absmax=12.91 +2025-11-04 13:02:12,253 ERROR: Encountered non-finite generator loss at iter 18508; skipping update. +2025-11-04 13:02:12,254 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:12,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.53, mean=-0.1046, std=3.28, absmax=13.53 +2025-11-04 13:02:12,255 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=12.51, mean=-0.1534, std=2.988, absmax=12.51 +2025-11-04 13:02:12,613 ERROR: Encountered non-finite generator loss at iter 18509; skipping update. +2025-11-04 13:02:12,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:12,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=15.38, mean=-0.1199, std=2.939, absmax=15.38 +2025-11-04 13:02:12,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=14.15, mean=-0.1195, std=2.684, absmax=14.15 +2025-11-04 13:02:12,972 ERROR: Encountered non-finite generator loss at iter 18510; skipping update. +2025-11-04 13:02:12,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:12,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:12,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.3, mean=-0.2042, std=3.023, absmax=13.3 +2025-11-04 13:02:12,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=10.44, mean=-0.1579, std=2.792, absmax=10.6 +2025-11-04 13:02:13,332 ERROR: Encountered non-finite generator loss at iter 18511; skipping update. +2025-11-04 13:02:13,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:13,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:13,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:13,334 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:13,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.83, mean=-0.1288, std=3.542, absmax=13.83 +2025-11-04 13:02:13,335 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=12.36, mean=-0.1148, std=3.289, absmax=13.5 +2025-11-04 13:02:13,693 ERROR: Encountered non-finite generator loss at iter 18512; skipping update. +2025-11-04 13:02:13,694 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:13,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:13,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:13,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:13,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.4, mean=-0.1177, std=3.306, absmax=14.75 +2025-11-04 13:02:13,697 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.95, max=11.59, mean=-0.1024, std=3.129, absmax=13.95 +2025-11-04 13:02:14,053 ERROR: Encountered non-finite generator loss at iter 18513; skipping update. +2025-11-04 13:02:14,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:14,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.25, max=14.68, mean=0.09008, std=3.334, absmax=16.25 +2025-11-04 13:02:14,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.45, max=13.58, mean=0.09545, std=3.16, absmax=13.58 +2025-11-04 13:02:14,413 ERROR: Encountered non-finite generator loss at iter 18514; skipping update. +2025-11-04 13:02:14,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:14,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.68, mean=-0.262, std=3.293, absmax=13.68 +2025-11-04 13:02:14,417 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=11.67, mean=-0.2066, std=3.159, absmax=11.67 +2025-11-04 13:02:14,774 ERROR: Encountered non-finite generator loss at iter 18515; skipping update. +2025-11-04 13:02:14,775 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:14,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:14,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.25, mean=-0.1572, std=3.221, absmax=14.25 +2025-11-04 13:02:14,778 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=13.69, mean=-0.1711, std=3.03, absmax=13.69 +2025-11-04 13:02:15,135 ERROR: Encountered non-finite generator loss at iter 18516; skipping update. +2025-11-04 13:02:15,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,136 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:15,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=10.91, mean=0.02523, std=2.83, absmax=12.74 +2025-11-04 13:02:15,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=10.37, mean=0.02311, std=2.655, absmax=10.37 +2025-11-04 13:02:15,494 ERROR: Encountered non-finite generator loss at iter 18517; skipping update. +2025-11-04 13:02:15,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:15,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=9.992, mean=-0.2686, std=2.708, absmax=13.15 +2025-11-04 13:02:15,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=8.81, mean=-0.2488, std=2.62, absmax=10.54 +2025-11-04 13:02:15,854 ERROR: Encountered non-finite generator loss at iter 18518; skipping update. +2025-11-04 13:02:15,854 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,855 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:15,855 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:15,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.49, mean=-0.1469, std=2.93, absmax=12.11 +2025-11-04 13:02:15,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=9.769, mean=-0.1425, std=2.706, absmax=12.28 +2025-11-04 13:02:16,214 ERROR: Encountered non-finite generator loss at iter 18519; skipping update. +2025-11-04 13:02:16,214 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,215 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,215 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:16,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.1, mean=-0.07927, std=2.976, absmax=12.82 +2025-11-04 13:02:16,216 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=11.74, mean=-0.09646, std=2.741, absmax=11.74 +2025-11-04 13:02:16,572 ERROR: Encountered non-finite generator loss at iter 18520; skipping update. +2025-11-04 13:02:16,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,574 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,574 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:16,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=14.86, mean=-0.1658, std=2.529, absmax=14.86 +2025-11-04 13:02:16,575 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=9.972, mean=-0.1555, std=2.435, absmax=10.16 +2025-11-04 13:02:16,933 ERROR: Encountered non-finite generator loss at iter 18521; skipping update. +2025-11-04 13:02:16,934 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,935 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:16,935 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:16,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=14.66, mean=-0.186, std=2.884, absmax=14.66 +2025-11-04 13:02:16,936 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.97, mean=-0.1823, std=2.717, absmax=12.97 +2025-11-04 13:02:17,294 ERROR: Encountered non-finite generator loss at iter 18522; skipping update. +2025-11-04 13:02:17,294 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:17,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:17,295 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:17,295 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:17,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.35, mean=0.0006862, std=3.003, absmax=12.84 +2025-11-04 13:02:17,296 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.29, mean=0.01725, std=2.718, absmax=10.99 +2025-11-04 13:02:17,654 ERROR: Encountered non-finite generator loss at iter 18523; skipping update. +2025-11-04 13:02:17,654 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:17,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:17,655 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:17,655 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:17,656 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.77, mean=-0.1738, std=2.699, absmax=11.97 +2025-11-04 13:02:17,656 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=9.917, mean=-0.1374, std=2.498, absmax=11.26 +2025-11-04 13:02:18,014 ERROR: Encountered non-finite generator loss at iter 18524; skipping update. +2025-11-04 13:02:18,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:18,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.46, mean=-0.1927, std=2.653, absmax=13.46 +2025-11-04 13:02:18,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.67, mean=-0.1293, std=2.614, absmax=11.67 +2025-11-04 13:02:18,375 ERROR: Encountered non-finite generator loss at iter 18525; skipping update. +2025-11-04 13:02:18,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,376 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:18,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=12.13, mean=-0.225, std=3.109, absmax=14.13 +2025-11-04 13:02:18,378 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=11.29, mean=-0.1981, std=2.905, absmax=12.15 +2025-11-04 13:02:18,735 ERROR: Encountered non-finite generator loss at iter 18526; skipping update. +2025-11-04 13:02:18,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:18,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:18,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=13.87, mean=-0.2434, std=3.598, absmax=14.99 +2025-11-04 13:02:18,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=10.83, mean=-0.198, std=3.255, absmax=12.2 +2025-11-04 13:02:19,095 ERROR: Encountered non-finite generator loss at iter 18527; skipping update. +2025-11-04 13:02:19,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:19,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=10.33, mean=-0.2159, std=3.084, absmax=12.95 +2025-11-04 13:02:19,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=9.621, mean=-0.2706, std=3.009, absmax=12.56 +2025-11-04 13:02:19,455 ERROR: Encountered non-finite generator loss at iter 18528; skipping update. +2025-11-04 13:02:19,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:19,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.38, max=14.28, mean=-0.11, std=3.389, absmax=15.38 +2025-11-04 13:02:19,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=13.19, mean=-0.1074, std=3.172, absmax=13.19 +2025-11-04 13:02:19,816 ERROR: Encountered non-finite generator loss at iter 18529; skipping update. +2025-11-04 13:02:19,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:19,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:19,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=13.61, mean=-0.2057, std=2.975, absmax=14.52 +2025-11-04 13:02:19,819 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=11.81, mean=-0.17, std=2.79, absmax=12.84 +2025-11-04 13:02:20,176 ERROR: Encountered non-finite generator loss at iter 18530; skipping update. +2025-11-04 13:02:20,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:20,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.78, mean=0.05895, std=3.938, absmax=15.78 +2025-11-04 13:02:20,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=13.83, mean=0.03515, std=3.621, absmax=13.83 +2025-11-04 13:02:20,536 ERROR: Encountered non-finite generator loss at iter 18531; skipping update. +2025-11-04 13:02:20,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:20,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.58, mean=-0.096, std=3.505, absmax=13.18 +2025-11-04 13:02:20,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.81, mean=-0.06221, std=3.244, absmax=11.65 +2025-11-04 13:02:20,895 ERROR: Encountered non-finite generator loss at iter 18532; skipping update. +2025-11-04 13:02:20,896 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,897 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:20,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:20,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.69, mean=-0.1892, std=3.592, absmax=13.69 +2025-11-04 13:02:20,899 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.01, mean=-0.2456, std=3.338, absmax=12.36 +2025-11-04 13:02:21,256 ERROR: Encountered non-finite generator loss at iter 18533; skipping update. +2025-11-04 13:02:21,256 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,257 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:21,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.67, mean=-0.01784, std=2.839, absmax=12.73 +2025-11-04 13:02:21,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=11.42, mean=0.00808, std=2.705, absmax=11.42 +2025-11-04 13:02:21,616 ERROR: Encountered non-finite generator loss at iter 18534; skipping update. +2025-11-04 13:02:21,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:21,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=14.93, mean=-0.3021, std=2.744, absmax=14.93 +2025-11-04 13:02:21,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=13.46, mean=-0.2549, std=2.565, absmax=13.46 +2025-11-04 13:02:21,976 ERROR: Encountered non-finite generator loss at iter 18535; skipping update. +2025-11-04 13:02:21,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:21,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:21,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=15.16, mean=-0.2111, std=2.686, absmax=15.16 +2025-11-04 13:02:21,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=13.21, mean=-0.2302, std=2.497, absmax=13.21 +2025-11-04 13:02:22,336 ERROR: Encountered non-finite generator loss at iter 18536; skipping update. +2025-11-04 13:02:22,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:22,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:22,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:22,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:22,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.33, mean=-0.1009, std=3.732, absmax=13.97 +2025-11-04 13:02:22,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.06, max=12.21, mean=-0.06344, std=3.585, absmax=14.06 +2025-11-04 13:02:22,697 ERROR: Encountered non-finite generator loss at iter 18537; skipping update. +2025-11-04 13:02:22,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:22,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:22,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:22,700 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:22,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=10.29, mean=-0.1098, std=3.008, absmax=12.96 +2025-11-04 13:02:22,701 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=9.732, mean=-0.07613, std=2.799, absmax=12.05 +2025-11-04 13:02:23,057 ERROR: Encountered non-finite generator loss at iter 18538; skipping update. +2025-11-04 13:02:23,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:23,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=14.37, mean=-0.1633, std=3.17, absmax=14.37 +2025-11-04 13:02:23,061 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.5, mean=-0.1558, std=3.134, absmax=12.5 +2025-11-04 13:02:23,418 ERROR: Encountered non-finite generator loss at iter 18539; skipping update. +2025-11-04 13:02:23,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,420 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:23,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.5, mean=-0.005628, std=3.592, absmax=13.6 +2025-11-04 13:02:23,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=12.3, mean=-0.007834, std=3.338, absmax=12.7 +2025-11-04 13:02:23,778 ERROR: Encountered non-finite generator loss at iter 18540; skipping update. +2025-11-04 13:02:23,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:23,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:23,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=14.3, mean=-0.1318, std=2.638, absmax=14.3 +2025-11-04 13:02:23,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.1, max=11.1, mean=-0.1319, std=2.517, absmax=11.1 +2025-11-04 13:02:24,137 ERROR: Encountered non-finite generator loss at iter 18541; skipping update. +2025-11-04 13:02:24,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:24,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=10.88, mean=0.001292, std=2.674, absmax=11.13 +2025-11-04 13:02:24,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=10.75, mean=-0.025, std=2.453, absmax=10.75 +2025-11-04 13:02:24,497 ERROR: Encountered non-finite generator loss at iter 18542; skipping update. +2025-11-04 13:02:24,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:24,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.56, max=14.3, mean=0.01976, std=3.547, absmax=16.56 +2025-11-04 13:02:24,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.36, max=12.67, mean=0.02144, std=3.307, absmax=15.36 +2025-11-04 13:02:24,856 ERROR: Encountered non-finite generator loss at iter 18543; skipping update. +2025-11-04 13:02:24,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:24,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:24,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.47, mean=0.06011, std=3.228, absmax=13.54 +2025-11-04 13:02:24,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.1, max=11.91, mean=0.07696, std=3.074, absmax=14.1 +2025-11-04 13:02:25,217 ERROR: Encountered non-finite generator loss at iter 18544; skipping update. +2025-11-04 13:02:25,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:25,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=17.04, mean=0.1942, std=3.551, absmax=17.04 +2025-11-04 13:02:25,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=15.88, mean=0.1792, std=3.392, absmax=15.88 +2025-11-04 13:02:25,577 ERROR: Encountered non-finite generator loss at iter 18545; skipping update. +2025-11-04 13:02:25,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:25,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=17.82, mean=-0.1328, std=2.728, absmax=17.82 +2025-11-04 13:02:25,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=17.13, mean=-0.1512, std=2.669, absmax=17.13 +2025-11-04 13:02:25,937 ERROR: Encountered non-finite generator loss at iter 18546; skipping update. +2025-11-04 13:02:25,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:25,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:25,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.29, mean=-0.3537, std=3.223, absmax=13.92 +2025-11-04 13:02:25,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=10.25, mean=-0.3557, std=3.098, absmax=13.65 +2025-11-04 13:02:26,297 ERROR: Encountered non-finite generator loss at iter 18547; skipping update. +2025-11-04 13:02:26,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:26,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:26,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:26,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:26,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.91, mean=-0.284, std=2.56, absmax=12.32 +2025-11-04 13:02:26,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=9.448, mean=-0.2945, std=2.44, absmax=10.73 +2025-11-04 13:02:26,657 ERROR: Encountered non-finite generator loss at iter 18548; skipping update. +2025-11-04 13:02:26,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:26,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:26,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:26,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:26,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.11, mean=-0.2981, std=2.747, absmax=12.52 +2025-11-04 13:02:26,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=9.675, mean=-0.2901, std=2.556, absmax=11.78 +2025-11-04 13:02:27,018 ERROR: Encountered non-finite generator loss at iter 18549; skipping update. +2025-11-04 13:02:27,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,021 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:27,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=9.365, mean=-0.1893, std=2.274, absmax=11.26 +2025-11-04 13:02:27,022 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.685, max=8.934, mean=-0.1841, std=2.233, absmax=9.685 +2025-11-04 13:02:27,377 ERROR: Encountered non-finite generator loss at iter 18550; skipping update. +2025-11-04 13:02:27,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:27,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=16.12, mean=0.03589, std=3.136, absmax=16.12 +2025-11-04 13:02:27,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=14.21, mean=0.006934, std=2.798, absmax=14.21 +2025-11-04 13:02:27,737 ERROR: Encountered non-finite generator loss at iter 18551; skipping update. +2025-11-04 13:02:27,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:27,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:27,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.77, mean=0.07771, std=3.522, absmax=14.77 +2025-11-04 13:02:27,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=12.63, mean=0.08446, std=3.168, absmax=12.63 +2025-11-04 13:02:28,097 ERROR: Encountered non-finite generator loss at iter 18552; skipping update. +2025-11-04 13:02:28,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:28,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=11.17, mean=-0.2767, std=3.075, absmax=13.66 +2025-11-04 13:02:28,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.17, mean=-0.2997, std=2.973, absmax=11.95 +2025-11-04 13:02:28,457 ERROR: Encountered non-finite generator loss at iter 18553; skipping update. +2025-11-04 13:02:28,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:28,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=16.83, mean=-0.08806, std=2.99, absmax=16.83 +2025-11-04 13:02:28,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=12.55, mean=-0.07365, std=2.677, absmax=12.55 +2025-11-04 13:02:28,818 ERROR: Encountered non-finite generator loss at iter 18554; skipping update. +2025-11-04 13:02:28,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:28,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:28,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.48, mean=-0.2065, std=2.687, absmax=11.99 +2025-11-04 13:02:28,822 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=11.98, mean=-0.1901, std=2.522, absmax=11.98 +2025-11-04 13:02:29,178 ERROR: Encountered non-finite generator loss at iter 18555; skipping update. +2025-11-04 13:02:29,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:29,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=11.46, mean=-0.1218, std=2.509, absmax=11.46 +2025-11-04 13:02:29,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.77, mean=-0.07107, std=2.509, absmax=11.46 +2025-11-04 13:02:29,537 ERROR: Encountered non-finite generator loss at iter 18556; skipping update. +2025-11-04 13:02:29,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:29,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.46, mean=-0.2005, std=2.631, absmax=12.46 +2025-11-04 13:02:29,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=12.31, mean=-0.1562, std=2.531, absmax=12.31 +2025-11-04 13:02:29,897 ERROR: Encountered non-finite generator loss at iter 18557; skipping update. +2025-11-04 13:02:29,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:29,900 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:29,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=16.41, mean=-0.152, std=2.972, absmax=16.41 +2025-11-04 13:02:29,901 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=15.71, mean=-0.1473, std=2.697, absmax=15.71 +2025-11-04 13:02:30,257 ERROR: Encountered non-finite generator loss at iter 18558; skipping update. +2025-11-04 13:02:30,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:30,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.81, mean=-0.06302, std=2.933, absmax=12.81 +2025-11-04 13:02:30,261 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=12.76, mean=-0.05143, std=2.771, absmax=12.76 +2025-11-04 13:02:30,618 ERROR: Encountered non-finite generator loss at iter 18559; skipping update. +2025-11-04 13:02:30,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:30,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=11.94, mean=-0.05993, std=3.012, absmax=11.94 +2025-11-04 13:02:30,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=12.43, mean=-0.00633, std=2.873, absmax=12.43 +2025-11-04 13:02:30,977 ERROR: Encountered non-finite generator loss at iter 18560; skipping update. +2025-11-04 13:02:30,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:30,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:30,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.07, mean=-0.2337, std=2.794, absmax=13.23 +2025-11-04 13:02:30,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=11.36, mean=-0.2029, std=2.636, absmax=11.36 +2025-11-04 13:02:31,338 ERROR: Encountered non-finite generator loss at iter 18561; skipping update. +2025-11-04 13:02:31,339 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:31,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:31,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:31,341 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:31,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.71, max=14.22, mean=-0.1033, std=3.156, absmax=16.71 +2025-11-04 13:02:31,342 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.77, max=13.09, mean=-0.1177, std=2.898, absmax=13.77 +2025-11-04 13:02:31,698 ERROR: Encountered non-finite generator loss at iter 18562; skipping update. +2025-11-04 13:02:31,699 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:31,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:31,700 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:31,700 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:31,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.56, mean=-0.06275, std=3.337, absmax=14.56 +2025-11-04 13:02:31,701 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=11.65, mean=-0.07409, std=3.161, absmax=13.67 +2025-11-04 13:02:32,057 ERROR: Encountered non-finite generator loss at iter 18563; skipping update. +2025-11-04 13:02:32,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:32,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=14.09, mean=-0.07457, std=2.677, absmax=14.09 +2025-11-04 13:02:32,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=13.35, mean=-0.1114, std=2.415, absmax=13.35 +2025-11-04 13:02:32,417 ERROR: Encountered non-finite generator loss at iter 18564; skipping update. +2025-11-04 13:02:32,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:32,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.1, mean=-0.1124, std=3.335, absmax=14.1 +2025-11-04 13:02:32,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=12.02, mean=-0.1356, std=3.114, absmax=12.89 +2025-11-04 13:02:32,778 ERROR: Encountered non-finite generator loss at iter 18565; skipping update. +2025-11-04 13:02:32,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:32,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:32,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.76, mean=-0.1536, std=2.807, absmax=11.82 +2025-11-04 13:02:32,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=11.1, mean=-0.1679, std=2.68, absmax=11.1 +2025-11-04 13:02:33,138 ERROR: Encountered non-finite generator loss at iter 18566; skipping update. +2025-11-04 13:02:33,139 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,140 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,141 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:33,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=17.24, mean=0.3167, std=3.773, absmax=17.24 +2025-11-04 13:02:33,142 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=14.34, mean=0.2879, std=3.482, absmax=14.34 +2025-11-04 13:02:33,498 ERROR: Encountered non-finite generator loss at iter 18567; skipping update. +2025-11-04 13:02:33,499 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,500 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,501 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:33,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=12.99, mean=-0.2021, std=2.867, absmax=14.48 +2025-11-04 13:02:33,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.8, mean=-0.2088, std=2.651, absmax=11.8 +2025-11-04 13:02:33,858 ERROR: Encountered non-finite generator loss at iter 18568; skipping update. +2025-11-04 13:02:33,859 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,860 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:33,861 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:33,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=11.47, mean=-0.1194, std=2.406, absmax=11.47 +2025-11-04 13:02:33,862 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.615, max=9.24, mean=-0.1489, std=2.254, absmax=9.615 +2025-11-04 13:02:34,219 ERROR: Encountered non-finite generator loss at iter 18569; skipping update. +2025-11-04 13:02:34,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:34,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=12.94, mean=-0.3458, std=3.349, absmax=13.9 +2025-11-04 13:02:34,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.84, mean=-0.3208, std=3.073, absmax=11.95 +2025-11-04 13:02:34,579 ERROR: Encountered non-finite generator loss at iter 18570; skipping update. +2025-11-04 13:02:34,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,581 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:34,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.61, mean=-0.2672, std=2.879, absmax=12.41 +2025-11-04 13:02:34,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=10.82, mean=-0.2457, std=2.644, absmax=11.85 +2025-11-04 13:02:34,939 ERROR: Encountered non-finite generator loss at iter 18571; skipping update. +2025-11-04 13:02:34,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:34,941 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:34,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=10.64, mean=-0.2752, std=2.506, absmax=12.67 +2025-11-04 13:02:34,942 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=10.08, mean=-0.2448, std=2.561, absmax=11.22 +2025-11-04 13:02:35,298 ERROR: Encountered non-finite generator loss at iter 18572; skipping update. +2025-11-04 13:02:35,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:35,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:35,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:35,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:35,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=15.16, mean=-0.0344, std=3.746, absmax=15.16 +2025-11-04 13:02:35,302 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=15.04, mean=-0.09459, std=3.62, absmax=15.04 +2025-11-04 13:02:35,658 ERROR: Encountered non-finite generator loss at iter 18573; skipping update. +2025-11-04 13:02:35,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:35,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:35,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:35,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:35,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.94, mean=-0.1281, std=2.78, absmax=12.94 +2025-11-04 13:02:35,662 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.51, mean=-0.1153, std=2.546, absmax=12.51 +2025-11-04 13:02:36,019 ERROR: Encountered non-finite generator loss at iter 18574; skipping update. +2025-11-04 13:02:36,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,021 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,021 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:36,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.46, mean=-0.1619, std=2.891, absmax=14.46 +2025-11-04 13:02:36,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.55, mean=-0.1719, std=2.739, absmax=11.55 +2025-11-04 13:02:36,379 ERROR: Encountered non-finite generator loss at iter 18575; skipping update. +2025-11-04 13:02:36,380 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,381 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:36,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.3, mean=-0.2018, std=2.736, absmax=13.81 +2025-11-04 13:02:36,382 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=9.537, mean=-0.2177, std=2.518, absmax=12.73 +2025-11-04 13:02:36,738 ERROR: Encountered non-finite generator loss at iter 18576; skipping update. +2025-11-04 13:02:36,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:36,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:36,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.1, mean=-0.02488, std=3.254, absmax=13.37 +2025-11-04 13:02:36,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=11.64, mean=-0.01991, std=3.177, absmax=13 +2025-11-04 13:02:37,098 ERROR: Encountered non-finite generator loss at iter 18577; skipping update. +2025-11-04 13:02:37,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,100 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:37,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.08, mean=-0.2642, std=2.919, absmax=12.08 +2025-11-04 13:02:37,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=10.22, mean=-0.2491, std=2.652, absmax=11.25 +2025-11-04 13:02:37,458 ERROR: Encountered non-finite generator loss at iter 18578; skipping update. +2025-11-04 13:02:37,459 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,460 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,460 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:37,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=10.18, mean=-0.1646, std=2.942, absmax=13.98 +2025-11-04 13:02:37,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=10.8, mean=-0.1756, std=2.813, absmax=13.46 +2025-11-04 13:02:37,817 ERROR: Encountered non-finite generator loss at iter 18579; skipping update. +2025-11-04 13:02:37,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:37,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:37,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=15.07, mean=-0.2787, std=2.954, absmax=15.07 +2025-11-04 13:02:37,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.89, max=14.37, mean=-0.2527, std=2.774, absmax=14.89 +2025-11-04 13:02:38,178 ERROR: Encountered non-finite generator loss at iter 18580; skipping update. +2025-11-04 13:02:38,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:38,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.13, mean=-0.1724, std=2.561, absmax=11.88 +2025-11-04 13:02:38,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=9.722, mean=-0.1495, std=2.464, absmax=10.51 +2025-11-04 13:02:38,539 ERROR: Encountered non-finite generator loss at iter 18581; skipping update. +2025-11-04 13:02:38,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:38,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=11.75, mean=-0.259, std=2.695, absmax=11.75 +2025-11-04 13:02:38,542 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.75, mean=-0.1884, std=2.618, absmax=11.75 +2025-11-04 13:02:38,899 ERROR: Encountered non-finite generator loss at iter 18582; skipping update. +2025-11-04 13:02:38,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:38,901 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:38,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.68, mean=-0.2829, std=2.501, absmax=12.01 +2025-11-04 13:02:38,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=8.947, mean=-0.2074, std=2.439, absmax=12.11 +2025-11-04 13:02:39,258 ERROR: Encountered non-finite generator loss at iter 18583; skipping update. +2025-11-04 13:02:39,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:39,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=16.74, mean=-0.1742, std=3.04, absmax=16.74 +2025-11-04 13:02:39,261 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=13.54, mean=-0.1858, std=2.757, absmax=13.54 +2025-11-04 13:02:39,617 ERROR: Encountered non-finite generator loss at iter 18584; skipping update. +2025-11-04 13:02:39,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:39,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.8, mean=-0.1711, std=3.006, absmax=14.38 +2025-11-04 13:02:39,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.49, mean=-0.1546, std=2.804, absmax=11.77 +2025-11-04 13:02:39,977 ERROR: Encountered non-finite generator loss at iter 18585; skipping update. +2025-11-04 13:02:39,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:39,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:39,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.83, mean=-0.179, std=2.776, absmax=13.6 +2025-11-04 13:02:39,981 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=10.04, mean=-0.1816, std=2.719, absmax=12.62 +2025-11-04 13:02:40,337 ERROR: Encountered non-finite generator loss at iter 18586; skipping update. +2025-11-04 13:02:40,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:40,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:40,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:40,340 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:40,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=10.89, mean=-0.3122, std=2.356, absmax=11.75 +2025-11-04 13:02:40,341 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=9.542, mean=-0.2866, std=2.225, absmax=10.13 +2025-11-04 13:02:40,698 ERROR: Encountered non-finite generator loss at iter 18587; skipping update. +2025-11-04 13:02:40,699 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:40,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:40,700 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:40,700 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:40,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.12, mean=-0.07362, std=3.239, absmax=12.58 +2025-11-04 13:02:40,701 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.31, mean=-0.09395, std=2.979, absmax=11.37 +2025-11-04 13:02:41,058 ERROR: Encountered non-finite generator loss at iter 18588; skipping update. +2025-11-04 13:02:41,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:41,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=15.08, mean=0.0598, std=3.705, absmax=15.08 +2025-11-04 13:02:41,061 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=14.6, mean=0.09616, std=3.53, absmax=14.6 +2025-11-04 13:02:41,417 ERROR: Encountered non-finite generator loss at iter 18589; skipping update. +2025-11-04 13:02:41,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:41,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=16.58, mean=-0.3317, std=3.194, absmax=16.58 +2025-11-04 13:02:41,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=12.85, mean=-0.3172, std=2.829, absmax=13.53 +2025-11-04 13:02:41,777 ERROR: Encountered non-finite generator loss at iter 18590; skipping update. +2025-11-04 13:02:41,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:41,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:41,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=14.47, mean=0.05114, std=3.088, absmax=14.47 +2025-11-04 13:02:41,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=14.38, mean=0.04988, std=2.974, absmax=14.38 +2025-11-04 13:02:42,137 ERROR: Encountered non-finite generator loss at iter 18591; skipping update. +2025-11-04 13:02:42,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:42,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13.14, mean=-0.2529, std=3.019, absmax=13.49 +2025-11-04 13:02:42,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=11.67, mean=-0.2507, std=2.718, absmax=11.67 +2025-11-04 13:02:42,497 ERROR: Encountered non-finite generator loss at iter 18592; skipping update. +2025-11-04 13:02:42,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:42,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=13.07, mean=-0.1384, std=3.728, absmax=13.84 +2025-11-04 13:02:42,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=11.79, mean=-0.09916, std=3.463, absmax=12.64 +2025-11-04 13:02:42,857 ERROR: Encountered non-finite generator loss at iter 18593; skipping update. +2025-11-04 13:02:42,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:42,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:42,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=15.15, mean=-0.1631, std=3.172, absmax=15.15 +2025-11-04 13:02:42,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=14.42, mean=-0.195, std=2.935, absmax=14.42 +2025-11-04 13:02:43,217 ERROR: Encountered non-finite generator loss at iter 18594; skipping update. +2025-11-04 13:02:43,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:43,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.16, max=13.74, mean=-0.2728, std=3.255, absmax=16.16 +2025-11-04 13:02:43,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.9, max=11.67, mean=-0.2401, std=2.985, absmax=13.9 +2025-11-04 13:02:43,577 ERROR: Encountered non-finite generator loss at iter 18595; skipping update. +2025-11-04 13:02:43,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:43,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.84, max=14.01, mean=-0.1393, std=3.123, absmax=15.84 +2025-11-04 13:02:43,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=12.68, mean=-0.1153, std=2.888, absmax=12.68 +2025-11-04 13:02:43,937 ERROR: Encountered non-finite generator loss at iter 18596; skipping update. +2025-11-04 13:02:43,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,940 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:43,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:43,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.04, mean=-0.2568, std=2.992, absmax=14.04 +2025-11-04 13:02:43,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=12.15, mean=-0.2155, std=2.745, absmax=12.15 +2025-11-04 13:02:44,297 ERROR: Encountered non-finite generator loss at iter 18597; skipping update. +2025-11-04 13:02:44,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:44,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:44,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:44,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:44,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=14.16, mean=0.009154, std=3.368, absmax=14.42 +2025-11-04 13:02:44,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=13.24, mean=0.02997, std=3.169, absmax=13.24 +2025-11-04 13:02:44,657 ERROR: Encountered non-finite generator loss at iter 18598; skipping update. +2025-11-04 13:02:44,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:44,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:44,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:44,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:44,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.58, mean=-0.02243, std=2.941, absmax=12.58 +2025-11-04 13:02:44,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=11.6, mean=-0.04172, std=2.772, absmax=11.6 +2025-11-04 13:02:45,017 ERROR: Encountered non-finite generator loss at iter 18599; skipping update. +2025-11-04 13:02:45,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:45,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.57, mean=0.1288, std=3.193, absmax=14.57 +2025-11-04 13:02:45,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=13.3, mean=0.0897, std=2.886, absmax=13.3 +2025-11-04 13:02:45,377 ERROR: Encountered non-finite generator loss at iter 18600; skipping update. +2025-11-04 13:02:45,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:45,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.54, mean=-0.2711, std=2.856, absmax=13.22 +2025-11-04 13:02:45,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=10.26, mean=-0.2887, std=2.629, absmax=12.02 +2025-11-04 13:02:45,381 INFO: [38..][epoch: 0, step: 18,600, lr:(2.000e-04,)] [eta: 1 day, 10:39:23, time (data): 0.360 (0.000)] +2025-11-04 13:02:45,737 ERROR: Encountered non-finite generator loss at iter 18601; skipping update. +2025-11-04 13:02:45,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:45,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:45,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.96, mean=0.01727, std=3.342, absmax=14.38 +2025-11-04 13:02:45,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=12.92, mean=0.05237, std=3.108, absmax=12.92 +2025-11-04 13:02:46,096 ERROR: Encountered non-finite generator loss at iter 18602; skipping update. +2025-11-04 13:02:46,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:46,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=14.65, mean=-0.0371, std=3.332, absmax=15.28 +2025-11-04 13:02:46,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=13.97, mean=-0.04176, std=3.048, absmax=13.97 +2025-11-04 13:02:46,456 ERROR: Encountered non-finite generator loss at iter 18603; skipping update. +2025-11-04 13:02:46,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:46,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.09, mean=-0.09161, std=3.188, absmax=14.26 +2025-11-04 13:02:46,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.92, max=11.19, mean=-0.08238, std=2.867, absmax=13.92 +2025-11-04 13:02:46,817 ERROR: Encountered non-finite generator loss at iter 18604; skipping update. +2025-11-04 13:02:46,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:46,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:46,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.12, mean=-0.358, std=3.375, absmax=13.68 +2025-11-04 13:02:46,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=11.75, mean=-0.2977, std=3.271, absmax=12.87 +2025-11-04 13:02:47,176 ERROR: Encountered non-finite generator loss at iter 18605; skipping update. +2025-11-04 13:02:47,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:47,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.26, mean=-0.1026, std=3.097, absmax=14.26 +2025-11-04 13:02:47,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=13.22, mean=-0.07101, std=2.942, absmax=13.22 +2025-11-04 13:02:47,537 ERROR: Encountered non-finite generator loss at iter 18606; skipping update. +2025-11-04 13:02:47,538 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:47,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=10.54, mean=-0.1993, std=2.454, absmax=10.8 +2025-11-04 13:02:47,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.569, max=8.103, mean=-0.2001, std=2.265, absmax=9.569 +2025-11-04 13:02:47,897 ERROR: Encountered non-finite generator loss at iter 18607; skipping update. +2025-11-04 13:02:47,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:47,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:47,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.01, mean=-0.2311, std=3.429, absmax=14.01 +2025-11-04 13:02:47,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=11.24, mean=-0.2067, std=3.14, absmax=12 +2025-11-04 13:02:48,256 ERROR: Encountered non-finite generator loss at iter 18608; skipping update. +2025-11-04 13:02:48,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:48,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=10.75, mean=-0.1906, std=2.285, absmax=11.05 +2025-11-04 13:02:48,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.308, max=10.63, mean=-0.2463, std=2.181, absmax=10.63 +2025-11-04 13:02:48,617 ERROR: Encountered non-finite generator loss at iter 18609; skipping update. +2025-11-04 13:02:48,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:48,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.16, mean=0.04058, std=3.476, absmax=14.16 +2025-11-04 13:02:48,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=12.71, mean=0.02129, std=3.179, absmax=12.71 +2025-11-04 13:02:48,977 ERROR: Encountered non-finite generator loss at iter 18610; skipping update. +2025-11-04 13:02:48,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:48,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:48,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.65, mean=-0.2046, std=2.85, absmax=14.65 +2025-11-04 13:02:48,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=13.03, mean=-0.2063, std=2.613, absmax=13.03 +2025-11-04 13:02:49,337 ERROR: Encountered non-finite generator loss at iter 18611; skipping update. +2025-11-04 13:02:49,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:49,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:49,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:49,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:49,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=14.19, mean=0.07893, std=3.65, absmax=14.33 +2025-11-04 13:02:49,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.23, max=12.42, mean=0.08022, std=3.399, absmax=14.23 +2025-11-04 13:02:49,697 ERROR: Encountered non-finite generator loss at iter 18612; skipping update. +2025-11-04 13:02:49,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:49,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:49,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:49,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:49,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.15, mean=-0.2894, std=3.024, absmax=12.28 +2025-11-04 13:02:49,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=10.6, mean=-0.2573, std=2.869, absmax=11.01 +2025-11-04 13:02:50,055 ERROR: Encountered non-finite generator loss at iter 18613; skipping update. +2025-11-04 13:02:50,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:50,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=10.42, mean=-0.2898, std=3.08, absmax=13.7 +2025-11-04 13:02:50,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.38, mean=-0.2478, std=2.92, absmax=11.89 +2025-11-04 13:02:50,416 ERROR: Encountered non-finite generator loss at iter 18614; skipping update. +2025-11-04 13:02:50,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:50,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=13.4, mean=-0.2601, std=3.205, absmax=14.64 +2025-11-04 13:02:50,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=10.93, mean=-0.2195, std=2.971, absmax=13.19 +2025-11-04 13:02:50,776 ERROR: Encountered non-finite generator loss at iter 18615; skipping update. +2025-11-04 13:02:50,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:50,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:50,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.15, mean=-0.06157, std=3.048, absmax=12.55 +2025-11-04 13:02:50,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=10.4, mean=-0.07882, std=2.808, absmax=10.84 +2025-11-04 13:02:51,136 ERROR: Encountered non-finite generator loss at iter 18616; skipping update. +2025-11-04 13:02:51,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:51,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.76, mean=-0.2581, std=2.706, absmax=11.76 +2025-11-04 13:02:51,139 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.23, mean=-0.2465, std=2.506, absmax=10.67 +2025-11-04 13:02:51,497 ERROR: Encountered non-finite generator loss at iter 18617; skipping update. +2025-11-04 13:02:51,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:51,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=15.09, mean=-0.07065, std=3.256, absmax=15.09 +2025-11-04 13:02:51,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=14.71, mean=-0.07053, std=3, absmax=14.71 +2025-11-04 13:02:51,857 ERROR: Encountered non-finite generator loss at iter 18618; skipping update. +2025-11-04 13:02:51,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:51,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:51,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.8, mean=-0.2586, std=2.873, absmax=13.8 +2025-11-04 13:02:51,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.87, mean=-0.2629, std=2.637, absmax=12.3 +2025-11-04 13:02:52,217 ERROR: Encountered non-finite generator loss at iter 18619; skipping update. +2025-11-04 13:02:52,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:52,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.27, mean=-0.2274, std=3.431, absmax=13.27 +2025-11-04 13:02:52,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=11.42, mean=-0.2524, std=3.18, absmax=12 +2025-11-04 13:02:52,577 ERROR: Encountered non-finite generator loss at iter 18620; skipping update. +2025-11-04 13:02:52,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:52,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.1, mean=-0.3483, std=2.735, absmax=11.54 +2025-11-04 13:02:52,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=9.944, mean=-0.3343, std=2.7, absmax=11.29 +2025-11-04 13:02:52,936 ERROR: Encountered non-finite generator loss at iter 18621; skipping update. +2025-11-04 13:02:52,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:52,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:52,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=14.44, mean=-0.0946, std=3.193, absmax=14.44 +2025-11-04 13:02:52,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=13.68, mean=-0.09782, std=3.018, absmax=13.68 +2025-11-04 13:02:53,297 ERROR: Encountered non-finite generator loss at iter 18622; skipping update. +2025-11-04 13:02:53,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:53,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:53,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:53,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:53,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.73, mean=-0.2384, std=3.231, absmax=13.73 +2025-11-04 13:02:53,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.25, max=11.52, mean=-0.1818, std=2.978, absmax=14.25 +2025-11-04 13:02:53,657 ERROR: Encountered non-finite generator loss at iter 18623; skipping update. +2025-11-04 13:02:53,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:53,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:53,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:53,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:53,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=10.96, mean=-0.1046, std=3.01, absmax=12.5 +2025-11-04 13:02:53,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.537, mean=-0.1709, std=2.769, absmax=11.4 +2025-11-04 13:02:54,017 ERROR: Encountered non-finite generator loss at iter 18624; skipping update. +2025-11-04 13:02:54,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:54,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.68, max=11.49, mean=-0.237, std=2.395, absmax=11.49 +2025-11-04 13:02:54,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=9.34, mean=-0.2516, std=2.144, absmax=10.52 +2025-11-04 13:02:54,378 ERROR: Encountered non-finite generator loss at iter 18625; skipping update. +2025-11-04 13:02:54,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:54,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=18.75, mean=-0.2041, std=2.716, absmax=18.75 +2025-11-04 13:02:54,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.15, max=16.81, mean=-0.1666, std=2.546, absmax=16.81 +2025-11-04 13:02:54,738 ERROR: Encountered non-finite generator loss at iter 18626; skipping update. +2025-11-04 13:02:54,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:54,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:54,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=15.16, mean=-0.07664, std=3.814, absmax=15.16 +2025-11-04 13:02:54,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=15.04, mean=-0.02967, std=3.618, absmax=15.04 +2025-11-04 13:02:55,097 ERROR: Encountered non-finite generator loss at iter 18627; skipping update. +2025-11-04 13:02:55,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:55,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.24, max=12.96, mean=-0.2595, std=3.609, absmax=15.24 +2025-11-04 13:02:55,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.23, max=12.97, mean=-0.2191, std=3.54, absmax=15.23 +2025-11-04 13:02:55,457 ERROR: Encountered non-finite generator loss at iter 18628; skipping update. +2025-11-04 13:02:55,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:55,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.29, mean=-0.1084, std=2.825, absmax=14.29 +2025-11-04 13:02:55,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=14.1, mean=-0.1048, std=2.634, absmax=14.1 +2025-11-04 13:02:55,818 ERROR: Encountered non-finite generator loss at iter 18629; skipping update. +2025-11-04 13:02:55,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:55,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:55,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=15, mean=-0.1025, std=3.337, absmax=15 +2025-11-04 13:02:55,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=14.7, mean=-0.1131, std=3.226, absmax=14.7 +2025-11-04 13:02:56,177 ERROR: Encountered non-finite generator loss at iter 18630; skipping update. +2025-11-04 13:02:56,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:56,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.23, mean=-0.2691, std=3.282, absmax=13.38 +2025-11-04 13:02:56,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=10.58, mean=-0.2551, std=3.039, absmax=12.3 +2025-11-04 13:02:56,537 ERROR: Encountered non-finite generator loss at iter 18631; skipping update. +2025-11-04 13:02:56,538 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:56,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=10.8, mean=-0.2461, std=2.535, absmax=13.33 +2025-11-04 13:02:56,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=9.497, mean=-0.2337, std=2.381, absmax=10.66 +2025-11-04 13:02:56,897 ERROR: Encountered non-finite generator loss at iter 18632; skipping update. +2025-11-04 13:02:56,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:56,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:56,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.26, mean=-0.1412, std=2.705, absmax=11.96 +2025-11-04 13:02:56,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.35, mean=-0.1298, std=2.563, absmax=11.37 +2025-11-04 13:02:57,257 ERROR: Encountered non-finite generator loss at iter 18633; skipping update. +2025-11-04 13:02:57,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:57,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.74, mean=-0.3096, std=3.048, absmax=12.37 +2025-11-04 13:02:57,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.52, mean=-0.2832, std=2.779, absmax=11.35 +2025-11-04 13:02:57,617 ERROR: Encountered non-finite generator loss at iter 18634; skipping update. +2025-11-04 13:02:57,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:57,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.06, mean=-0.231, std=3.211, absmax=14.06 +2025-11-04 13:02:57,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=10.72, mean=-0.2025, std=2.881, absmax=12.27 +2025-11-04 13:02:57,976 ERROR: Encountered non-finite generator loss at iter 18635; skipping update. +2025-11-04 13:02:57,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:57,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:57,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=11.71, mean=-0.1513, std=2.521, absmax=11.71 +2025-11-04 13:02:57,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.972, max=10.26, mean=-0.1664, std=2.397, absmax=10.26 +2025-11-04 13:02:58,337 ERROR: Encountered non-finite generator loss at iter 18636; skipping update. +2025-11-04 13:02:58,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:58,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:58,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:58,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:58,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.74, mean=-0.2887, std=2.766, absmax=12.74 +2025-11-04 13:02:58,341 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=10.7, mean=-0.2605, std=2.537, absmax=11.23 +2025-11-04 13:02:58,697 ERROR: Encountered non-finite generator loss at iter 18637; skipping update. +2025-11-04 13:02:58,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:58,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:58,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:58,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:58,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=13.24, mean=-0.2185, std=3.029, absmax=13.24 +2025-11-04 13:02:58,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=10.7, mean=-0.1651, std=2.721, absmax=10.7 +2025-11-04 13:02:59,058 ERROR: Encountered non-finite generator loss at iter 18638; skipping update. +2025-11-04 13:02:59,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:59,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=12.93, mean=-0.007428, std=3.204, absmax=14.99 +2025-11-04 13:02:59,061 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=12.18, mean=0.01701, std=3.012, absmax=12.93 +2025-11-04 13:02:59,417 ERROR: Encountered non-finite generator loss at iter 18639; skipping update. +2025-11-04 13:02:59,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:59,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.37, mean=-0.1514, std=3.177, absmax=12.64 +2025-11-04 13:02:59,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=9.717, mean=-0.2156, std=3.031, absmax=12.86 +2025-11-04 13:02:59,777 ERROR: Encountered non-finite generator loss at iter 18640; skipping update. +2025-11-04 13:02:59,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:02:59,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:02:59,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.34, mean=0.02525, std=3.651, absmax=13.34 +2025-11-04 13:02:59,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=12.63, mean=0.01368, std=3.471, absmax=12.64 +2025-11-04 13:03:00,137 ERROR: Encountered non-finite generator loss at iter 18641; skipping update. +2025-11-04 13:03:00,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:00,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=13.03, mean=-0.105, std=3.05, absmax=13.03 +2025-11-04 13:03:00,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=13.46, mean=-0.08785, std=2.848, absmax=13.46 +2025-11-04 13:03:00,497 ERROR: Encountered non-finite generator loss at iter 18642; skipping update. +2025-11-04 13:03:00,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:00,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.53, mean=-0.01843, std=3.174, absmax=12.53 +2025-11-04 13:03:00,501 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.77, mean=-0.01467, std=2.857, absmax=11.77 +2025-11-04 13:03:00,857 ERROR: Encountered non-finite generator loss at iter 18643; skipping update. +2025-11-04 13:03:00,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:00,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:00,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=16.88, mean=0.03668, std=3.312, absmax=16.88 +2025-11-04 13:03:00,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=14.5, mean=0.0551, std=3.007, absmax=14.5 +2025-11-04 13:03:01,217 ERROR: Encountered non-finite generator loss at iter 18644; skipping update. +2025-11-04 13:03:01,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,220 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:01,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.06, mean=-0.09572, std=3.725, absmax=13.06 +2025-11-04 13:03:01,221 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.95, mean=-0.04302, std=3.461, absmax=11.95 +2025-11-04 13:03:01,577 ERROR: Encountered non-finite generator loss at iter 18645; skipping update. +2025-11-04 13:03:01,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:01,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=10.07, mean=-0.327, std=3.034, absmax=12.83 +2025-11-04 13:03:01,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=11.04, mean=-0.3309, std=2.882, absmax=12.2 +2025-11-04 13:03:01,937 ERROR: Encountered non-finite generator loss at iter 18646; skipping update. +2025-11-04 13:03:01,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:01,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:01,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=14.76, mean=-0.163, std=2.9, absmax=14.76 +2025-11-04 13:03:01,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.04, mean=-0.1774, std=2.702, absmax=12.04 +2025-11-04 13:03:02,296 ERROR: Encountered non-finite generator loss at iter 18647; skipping update. +2025-11-04 13:03:02,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:02,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:02,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:02,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:02,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=12.22, mean=-0.126, std=2.858, absmax=12.22 +2025-11-04 13:03:02,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=10.84, mean=-0.1428, std=2.606, absmax=10.84 +2025-11-04 13:03:02,656 ERROR: Encountered non-finite generator loss at iter 18648; skipping update. +2025-11-04 13:03:02,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:02,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:02,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:02,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:02,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.8, mean=-0.09501, std=3.268, absmax=14.8 +2025-11-04 13:03:02,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.96, mean=-0.06128, std=2.948, absmax=11.96 +2025-11-04 13:03:03,017 ERROR: Encountered non-finite generator loss at iter 18649; skipping update. +2025-11-04 13:03:03,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:03,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.73, mean=-0.2969, std=2.866, absmax=13.89 +2025-11-04 13:03:03,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.61, mean=-0.2974, std=2.616, absmax=11.61 +2025-11-04 13:03:03,376 ERROR: Encountered non-finite generator loss at iter 18650; skipping update. +2025-11-04 13:03:03,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:03,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.89, mean=-0.1296, std=3.475, absmax=14.89 +2025-11-04 13:03:03,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=13.8, mean=-0.1512, std=3.272, absmax=13.8 +2025-11-04 13:03:03,736 ERROR: Encountered non-finite generator loss at iter 18651; skipping update. +2025-11-04 13:03:03,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:03,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:03,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=14.91, mean=-0.1492, std=3.418, absmax=15.06 +2025-11-04 13:03:03,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.81, max=12.43, mean=-0.1336, std=3.182, absmax=14.81 +2025-11-04 13:03:04,097 ERROR: Encountered non-finite generator loss at iter 18652; skipping update. +2025-11-04 13:03:04,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:04,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.19, mean=-0.2145, std=2.514, absmax=11.19 +2025-11-04 13:03:04,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=9.758, mean=-0.2048, std=2.32, absmax=11.02 +2025-11-04 13:03:04,457 ERROR: Encountered non-finite generator loss at iter 18653; skipping update. +2025-11-04 13:03:04,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:04,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.37, mean=-0.1278, std=3.391, absmax=15.37 +2025-11-04 13:03:04,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=12.3, mean=-0.09257, std=3.156, absmax=12.66 +2025-11-04 13:03:04,817 ERROR: Encountered non-finite generator loss at iter 18654; skipping update. +2025-11-04 13:03:04,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:04,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:04,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.38, mean=-0.07161, std=3.121, absmax=13.38 +2025-11-04 13:03:04,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=12.82, mean=-0.07204, std=2.925, absmax=12.82 +2025-11-04 13:03:05,177 ERROR: Encountered non-finite generator loss at iter 18655; skipping update. +2025-11-04 13:03:05,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:05,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.75, mean=-0.06403, std=3.697, absmax=13.28 +2025-11-04 13:03:05,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=10.82, mean=-0.08875, std=3.388, absmax=12.89 +2025-11-04 13:03:05,537 ERROR: Encountered non-finite generator loss at iter 18656; skipping update. +2025-11-04 13:03:05,538 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:05,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=10.92, mean=-0.298, std=2.801, absmax=10.97 +2025-11-04 13:03:05,540 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=10.47, mean=-0.295, std=2.649, absmax=10.47 +2025-11-04 13:03:05,897 ERROR: Encountered non-finite generator loss at iter 18657; skipping update. +2025-11-04 13:03:05,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:05,900 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:05,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.31, mean=-0.01543, std=3.237, absmax=12.57 +2025-11-04 13:03:05,901 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.39, mean=-0.07259, std=2.973, absmax=12.56 +2025-11-04 13:03:06,256 ERROR: Encountered non-finite generator loss at iter 18658; skipping update. +2025-11-04 13:03:06,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:06,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.47, mean=-0.1922, std=3.126, absmax=13.49 +2025-11-04 13:03:06,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=10.47, mean=-0.1812, std=2.845, absmax=13.06 +2025-11-04 13:03:06,617 ERROR: Encountered non-finite generator loss at iter 18659; skipping update. +2025-11-04 13:03:06,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:06,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.55, max=11.52, mean=-0.1682, std=2.444, absmax=11.52 +2025-11-04 13:03:06,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.517, max=10.48, mean=-0.2051, std=2.312, absmax=10.48 +2025-11-04 13:03:06,977 ERROR: Encountered non-finite generator loss at iter 18660; skipping update. +2025-11-04 13:03:06,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:06,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:06,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.7, mean=-0.06862, std=2.871, absmax=13.7 +2025-11-04 13:03:06,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=12.81, mean=-0.09413, std=2.744, absmax=12.81 +2025-11-04 13:03:07,337 ERROR: Encountered non-finite generator loss at iter 18661; skipping update. +2025-11-04 13:03:07,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:07,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:07,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:07,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:07,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.7, mean=-0.3159, std=3.173, absmax=13.63 +2025-11-04 13:03:07,341 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=11.69, mean=-0.2818, std=2.99, absmax=12.32 +2025-11-04 13:03:07,697 ERROR: Encountered non-finite generator loss at iter 18662; skipping update. +2025-11-04 13:03:07,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:07,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:07,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:07,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:07,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.14, mean=-0.1216, std=2.772, absmax=12.14 +2025-11-04 13:03:07,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.796, max=12.13, mean=-0.08846, std=2.567, absmax=12.13 +2025-11-04 13:03:08,057 ERROR: Encountered non-finite generator loss at iter 18663; skipping update. +2025-11-04 13:03:08,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:08,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.75, mean=-0.01886, std=2.657, absmax=12.75 +2025-11-04 13:03:08,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.627, max=10.79, mean=-0.007148, std=2.419, absmax=10.79 +2025-11-04 13:03:08,417 ERROR: Encountered non-finite generator loss at iter 18664; skipping update. +2025-11-04 13:03:08,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:08,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.19, mean=-0.2128, std=3.138, absmax=12.19 +2025-11-04 13:03:08,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=9.705, mean=-0.1902, std=2.853, absmax=11.29 +2025-11-04 13:03:08,777 ERROR: Encountered non-finite generator loss at iter 18665; skipping update. +2025-11-04 13:03:08,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:08,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:08,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.43, mean=-0.1099, std=3.115, absmax=13.46 +2025-11-04 13:03:08,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=11.03, mean=-0.1083, std=2.855, absmax=13.23 +2025-11-04 13:03:09,137 ERROR: Encountered non-finite generator loss at iter 18666; skipping update. +2025-11-04 13:03:09,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:09,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=12.67, mean=-0.127, std=2.831, absmax=12.67 +2025-11-04 13:03:09,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=12.28, mean=-0.1188, std=2.79, absmax=12.28 +2025-11-04 13:03:09,496 ERROR: Encountered non-finite generator loss at iter 18667; skipping update. +2025-11-04 13:03:09,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:09,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=14.02, mean=-0.08867, std=2.636, absmax=14.02 +2025-11-04 13:03:09,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=12.6, mean=-0.09972, std=2.495, absmax=12.6 +2025-11-04 13:03:09,857 ERROR: Encountered non-finite generator loss at iter 18668; skipping update. +2025-11-04 13:03:09,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:09,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:09,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.86, mean=-0.1711, std=2.434, absmax=12.86 +2025-11-04 13:03:09,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.935, max=11.75, mean=-0.1588, std=2.25, absmax=11.75 +2025-11-04 13:03:10,217 ERROR: Encountered non-finite generator loss at iter 18669; skipping update. +2025-11-04 13:03:10,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:10,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.91, mean=-0.06115, std=2.907, absmax=12.91 +2025-11-04 13:03:10,221 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=11.61, mean=0.01168, std=2.909, absmax=12.73 +2025-11-04 13:03:10,577 ERROR: Encountered non-finite generator loss at iter 18670; skipping update. +2025-11-04 13:03:10,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:10,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=11.77, mean=-0.2076, std=2.888, absmax=13.36 +2025-11-04 13:03:10,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=11.04, mean=-0.1732, std=2.708, absmax=12.69 +2025-11-04 13:03:10,937 ERROR: Encountered non-finite generator loss at iter 18671; skipping update. +2025-11-04 13:03:10,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:10,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:10,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.14, mean=-0.0259, std=2.657, absmax=12.14 +2025-11-04 13:03:10,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=11.77, mean=-0.05884, std=2.536, absmax=11.77 +2025-11-04 13:03:11,297 ERROR: Encountered non-finite generator loss at iter 18672; skipping update. +2025-11-04 13:03:11,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:11,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:11,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:11,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:11,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=17.52, mean=-0.273, std=3.191, absmax=17.52 +2025-11-04 13:03:11,302 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=16.71, mean=-0.2801, std=3.098, absmax=16.71 +2025-11-04 13:03:11,658 ERROR: Encountered non-finite generator loss at iter 18673; skipping update. +2025-11-04 13:03:11,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:11,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:11,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:11,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:11,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=12.27, mean=-0.1802, std=3.03, absmax=14.27 +2025-11-04 13:03:11,662 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=10.69, mean=-0.1802, std=2.81, absmax=11.4 +2025-11-04 13:03:12,018 ERROR: Encountered non-finite generator loss at iter 18674; skipping update. +2025-11-04 13:03:12,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:12,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.08, mean=-0.04584, std=3.342, absmax=12.08 +2025-11-04 13:03:12,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=10.07, mean=-0.04987, std=3.137, absmax=11.49 +2025-11-04 13:03:12,378 ERROR: Encountered non-finite generator loss at iter 18675; skipping update. +2025-11-04 13:03:12,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:12,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.56, mean=-0.27, std=2.877, absmax=12.95 +2025-11-04 13:03:12,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=10.61, mean=-0.2465, std=2.674, absmax=12.1 +2025-11-04 13:03:12,738 ERROR: Encountered non-finite generator loss at iter 18676; skipping update. +2025-11-04 13:03:12,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:12,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:12,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=16.97, mean=-0.4799, std=3.563, absmax=16.97 +2025-11-04 13:03:12,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.79, max=13.6, mean=-0.4466, std=3.307, absmax=13.79 +2025-11-04 13:03:13,098 ERROR: Encountered non-finite generator loss at iter 18677; skipping update. +2025-11-04 13:03:13,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,100 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:13,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.24, mean=-0.1382, std=2.832, absmax=14.24 +2025-11-04 13:03:13,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=12.13, mean=-0.1466, std=2.636, absmax=12.13 +2025-11-04 13:03:13,457 ERROR: Encountered non-finite generator loss at iter 18678; skipping update. +2025-11-04 13:03:13,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,460 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:13,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.01, mean=-0.2778, std=3.095, absmax=13.24 +2025-11-04 13:03:13,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=10.93, mean=-0.2161, std=2.863, absmax=11.33 +2025-11-04 13:03:13,818 ERROR: Encountered non-finite generator loss at iter 18679; skipping update. +2025-11-04 13:03:13,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:13,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:13,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=12.59, mean=-0.1221, std=2.612, absmax=12.59 +2025-11-04 13:03:13,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=10.27, mean=-0.1264, std=2.378, absmax=10.56 +2025-11-04 13:03:14,176 ERROR: Encountered non-finite generator loss at iter 18680; skipping update. +2025-11-04 13:03:14,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:14,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.04, mean=-0.2435, std=2.593, absmax=12.48 +2025-11-04 13:03:14,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.98, mean=-0.2218, std=2.356, absmax=10.98 +2025-11-04 13:03:14,536 ERROR: Encountered non-finite generator loss at iter 18681; skipping update. +2025-11-04 13:03:14,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:14,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=14.27, mean=-0.01432, std=2.628, absmax=14.27 +2025-11-04 13:03:14,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=12.66, mean=-0.02602, std=2.468, absmax=12.66 +2025-11-04 13:03:14,897 ERROR: Encountered non-finite generator loss at iter 18682; skipping update. +2025-11-04 13:03:14,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:14,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:14,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.99, mean=-0.2854, std=3.076, absmax=12.24 +2025-11-04 13:03:14,901 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.41, mean=-0.271, std=2.821, absmax=11.65 +2025-11-04 13:03:15,258 ERROR: Encountered non-finite generator loss at iter 18683; skipping update. +2025-11-04 13:03:15,259 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,260 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:15,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.16, mean=-0.2274, std=2.833, absmax=11.54 +2025-11-04 13:03:15,261 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=9.435, mean=-0.1864, std=2.573, absmax=11.1 +2025-11-04 13:03:15,617 ERROR: Encountered non-finite generator loss at iter 18684; skipping update. +2025-11-04 13:03:15,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:15,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=15.16, mean=0.04456, std=3.518, absmax=15.16 +2025-11-04 13:03:15,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.715, max=15.04, mean=0.06267, std=3.372, absmax=15.04 +2025-11-04 13:03:15,977 ERROR: Encountered non-finite generator loss at iter 18685; skipping update. +2025-11-04 13:03:15,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:15,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:15,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=11.07, mean=-0.1419, std=2.813, absmax=11.63 +2025-11-04 13:03:15,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.82, max=10.4, mean=-0.1548, std=2.728, absmax=10.4 +2025-11-04 13:03:16,336 ERROR: Encountered non-finite generator loss at iter 18686; skipping update. +2025-11-04 13:03:16,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:16,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:16,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:16,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:16,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=14.74, mean=-0.03179, std=3.28, absmax=14.92 +2025-11-04 13:03:16,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.17, max=13.91, mean=-0.01308, std=3.085, absmax=14.17 +2025-11-04 13:03:16,696 ERROR: Encountered non-finite generator loss at iter 18687; skipping update. +2025-11-04 13:03:16,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:16,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:16,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:16,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:16,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.88, mean=-0.2799, std=3.163, absmax=13.19 +2025-11-04 13:03:16,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.21, mean=-0.2663, std=2.967, absmax=11.76 +2025-11-04 13:03:17,056 ERROR: Encountered non-finite generator loss at iter 18688; skipping update. +2025-11-04 13:03:17,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:17,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.28, mean=-0.2555, std=2.888, absmax=13.28 +2025-11-04 13:03:17,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=11.87, mean=-0.2164, std=2.588, absmax=12.23 +2025-11-04 13:03:17,417 ERROR: Encountered non-finite generator loss at iter 18689; skipping update. +2025-11-04 13:03:17,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:17,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.52, mean=-0.0567, std=3.108, absmax=13.52 +2025-11-04 13:03:17,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.47, mean=-0.08095, std=2.875, absmax=11.47 +2025-11-04 13:03:17,777 ERROR: Encountered non-finite generator loss at iter 18690; skipping update. +2025-11-04 13:03:17,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:17,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:17,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.86, max=16.9, mean=-0.342, std=3.684, absmax=16.9 +2025-11-04 13:03:17,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=13.77, mean=-0.2836, std=3.361, absmax=13.77 +2025-11-04 13:03:18,137 ERROR: Encountered non-finite generator loss at iter 18691; skipping update. +2025-11-04 13:03:18,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:18,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=11.75, mean=-0.3463, std=3.079, absmax=11.86 +2025-11-04 13:03:18,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.79, mean=-0.2934, std=2.902, absmax=10.96 +2025-11-04 13:03:18,496 ERROR: Encountered non-finite generator loss at iter 18692; skipping update. +2025-11-04 13:03:18,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,498 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:18,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=14.24, mean=-0.07883, std=3.064, absmax=14.24 +2025-11-04 13:03:18,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=13.04, mean=-0.06767, std=2.883, absmax=13.04 +2025-11-04 13:03:18,856 ERROR: Encountered non-finite generator loss at iter 18693; skipping update. +2025-11-04 13:03:18,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:18,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:18,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.86, max=14.8, mean=-0.1837, std=3.677, absmax=16.86 +2025-11-04 13:03:18,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=13.48, mean=-0.1669, std=3.449, absmax=13.48 +2025-11-04 13:03:19,216 ERROR: Encountered non-finite generator loss at iter 18694; skipping update. +2025-11-04 13:03:19,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:19,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.25, mean=-0.1109, std=2.815, absmax=13.51 +2025-11-04 13:03:19,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.69, mean=-0.141, std=2.715, absmax=11.69 +2025-11-04 13:03:19,576 ERROR: Encountered non-finite generator loss at iter 18695; skipping update. +2025-11-04 13:03:19,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:19,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.4, max=13.56, mean=-0.2223, std=3.218, absmax=16.4 +2025-11-04 13:03:19,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=12.82, mean=-0.1943, std=2.908, absmax=12.82 +2025-11-04 13:03:19,937 ERROR: Encountered non-finite generator loss at iter 18696; skipping update. +2025-11-04 13:03:19,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:19,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:19,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.46, mean=-0.06295, std=3.618, absmax=13.46 +2025-11-04 13:03:19,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.47, mean=-0.07663, std=3.178, absmax=12.38 +2025-11-04 13:03:20,297 ERROR: Encountered non-finite generator loss at iter 18697; skipping update. +2025-11-04 13:03:20,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:20,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:20,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:20,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:20,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.33, mean=0.03375, std=3.059, absmax=12.33 +2025-11-04 13:03:20,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.84, mean=0.0438, std=2.838, absmax=10.84 +2025-11-04 13:03:20,656 ERROR: Encountered non-finite generator loss at iter 18698; skipping update. +2025-11-04 13:03:20,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:20,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:20,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:20,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:20,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=10.92, mean=-0.08311, std=2.575, absmax=11.71 +2025-11-04 13:03:20,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=10.92, mean=-0.07789, std=2.558, absmax=10.92 +2025-11-04 13:03:21,017 ERROR: Encountered non-finite generator loss at iter 18699; skipping update. +2025-11-04 13:03:21,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:21,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.6, mean=0.01353, std=3.538, absmax=14.6 +2025-11-04 13:03:21,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=13.22, mean=0.005529, std=3.313, absmax=13.26 +2025-11-04 13:03:21,377 ERROR: Encountered non-finite generator loss at iter 18700; skipping update. +2025-11-04 13:03:21,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:21,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.61, mean=-0.034, std=3.394, absmax=14.17 +2025-11-04 13:03:21,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.48, mean=-0.01062, std=3.088, absmax=12.18 +2025-11-04 13:03:21,381 INFO: [38..][epoch: 0, step: 18,700, lr:(2.000e-04,)] [eta: 1 day, 10:29:44, time (data): 0.360 (0.000)] +2025-11-04 13:03:21,737 ERROR: Encountered non-finite generator loss at iter 18701; skipping update. +2025-11-04 13:03:21,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:21,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:21,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.19, mean=-0.06773, std=3.029, absmax=12.99 +2025-11-04 13:03:21,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=10.51, mean=-0.09945, std=2.832, absmax=11.25 +2025-11-04 13:03:22,097 ERROR: Encountered non-finite generator loss at iter 18702; skipping update. +2025-11-04 13:03:22,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:22,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.53, mean=-0.1185, std=2.803, absmax=13.53 +2025-11-04 13:03:22,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=12.18, mean=-0.1007, std=2.602, absmax=12.18 +2025-11-04 13:03:22,457 ERROR: Encountered non-finite generator loss at iter 18703; skipping update. +2025-11-04 13:03:22,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:22,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.9, mean=-0.08213, std=3.095, absmax=13.03 +2025-11-04 13:03:22,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=12.42, mean=-0.07692, std=2.935, absmax=12.42 +2025-11-04 13:03:22,817 ERROR: Encountered non-finite generator loss at iter 18704; skipping update. +2025-11-04 13:03:22,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:22,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:22,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=14.49, mean=-0.1307, std=2.827, absmax=14.49 +2025-11-04 13:03:22,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.96, mean=-0.07531, std=2.754, absmax=11.96 +2025-11-04 13:03:23,177 ERROR: Encountered non-finite generator loss at iter 18705; skipping update. +2025-11-04 13:03:23,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:23,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=13.78, mean=-0.02968, std=3.388, absmax=15.19 +2025-11-04 13:03:23,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=12.53, mean=-0.02666, std=3.086, absmax=12.53 +2025-11-04 13:03:23,537 ERROR: Encountered non-finite generator loss at iter 18706; skipping update. +2025-11-04 13:03:23,538 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:23,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=15.88, mean=-0.03654, std=2.914, absmax=15.88 +2025-11-04 13:03:23,540 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=15.25, mean=-0.01406, std=2.768, absmax=15.25 +2025-11-04 13:03:23,897 ERROR: Encountered non-finite generator loss at iter 18707; skipping update. +2025-11-04 13:03:23,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:23,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:23,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=18.26, mean=-0.2635, std=3.462, absmax=18.26 +2025-11-04 13:03:23,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=15.35, mean=-0.2622, std=3.233, absmax=15.35 +2025-11-04 13:03:24,256 ERROR: Encountered non-finite generator loss at iter 18708; skipping update. +2025-11-04 13:03:24,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:24,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.58, mean=-0.1427, std=2.466, absmax=12.9 +2025-11-04 13:03:24,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=9.391, mean=-0.1512, std=2.279, absmax=12.66 +2025-11-04 13:03:24,617 ERROR: Encountered non-finite generator loss at iter 18709; skipping update. +2025-11-04 13:03:24,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:24,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.17, mean=-0.1797, std=2.811, absmax=13.17 +2025-11-04 13:03:24,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.19, mean=-0.1598, std=2.568, absmax=11.19 +2025-11-04 13:03:24,976 ERROR: Encountered non-finite generator loss at iter 18710; skipping update. +2025-11-04 13:03:24,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:24,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:24,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.78, mean=-0.02367, std=3.195, absmax=12.78 +2025-11-04 13:03:24,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.39, mean=-0.04505, std=2.919, absmax=11.39 +2025-11-04 13:03:25,337 ERROR: Encountered non-finite generator loss at iter 18711; skipping update. +2025-11-04 13:03:25,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:25,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:25,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:25,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:25,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=13.7, mean=-0.1574, std=2.952, absmax=13.7 +2025-11-04 13:03:25,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=12.12, mean=-0.131, std=2.836, absmax=12.12 +2025-11-04 13:03:25,696 ERROR: Encountered non-finite generator loss at iter 18712; skipping update. +2025-11-04 13:03:25,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:25,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:25,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:25,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:25,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.88, mean=-0.1147, std=3.276, absmax=13.88 +2025-11-04 13:03:25,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.83, mean=-0.1256, std=2.926, absmax=11.83 +2025-11-04 13:03:26,056 ERROR: Encountered non-finite generator loss at iter 18713; skipping update. +2025-11-04 13:03:26,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:26,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.71, mean=-0.2686, std=3.041, absmax=13.14 +2025-11-04 13:03:26,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.6, mean=-0.2488, std=2.802, absmax=11.46 +2025-11-04 13:03:26,417 ERROR: Encountered non-finite generator loss at iter 18714; skipping update. +2025-11-04 13:03:26,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:26,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=15.21, mean=-0.1094, std=3.166, absmax=15.21 +2025-11-04 13:03:26,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.92, max=12.71, mean=-0.1058, std=2.936, absmax=13.92 +2025-11-04 13:03:26,777 ERROR: Encountered non-finite generator loss at iter 18715; skipping update. +2025-11-04 13:03:26,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:26,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:26,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.15, mean=-0.1673, std=2.652, absmax=13.15 +2025-11-04 13:03:26,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.6, mean=-0.1496, std=2.389, absmax=11.89 +2025-11-04 13:03:27,136 ERROR: Encountered non-finite generator loss at iter 18716; skipping update. +2025-11-04 13:03:27,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:27,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=14.72, mean=-0.3477, std=3.861, absmax=14.72 +2025-11-04 13:03:27,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.86, max=11.17, mean=-0.2756, std=3.679, absmax=13.86 +2025-11-04 13:03:27,502 ERROR: Encountered non-finite generator loss at iter 18717; skipping update. +2025-11-04 13:03:27,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:27,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.15, mean=-0.2129, std=3.155, absmax=14.15 +2025-11-04 13:03:27,508 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=11.96, mean=-0.1708, std=2.925, absmax=13.72 +2025-11-04 13:03:27,867 ERROR: Encountered non-finite generator loss at iter 18718; skipping update. +2025-11-04 13:03:27,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:27,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:27,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.56, mean=-0.06117, std=3.208, absmax=13.56 +2025-11-04 13:03:27,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.77, mean=-0.1135, std=3.013, absmax=11.91 +2025-11-04 13:03:28,228 ERROR: Encountered non-finite generator loss at iter 18719; skipping update. +2025-11-04 13:03:28,229 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,230 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,230 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:28,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.86, mean=-0.1321, std=3.175, absmax=13.86 +2025-11-04 13:03:28,231 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=12.84, mean=-0.1285, std=2.904, absmax=12.84 +2025-11-04 13:03:28,588 ERROR: Encountered non-finite generator loss at iter 18720; skipping update. +2025-11-04 13:03:28,589 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,590 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,590 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:28,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=17.3, mean=0.05293, std=3.068, absmax=17.3 +2025-11-04 13:03:28,592 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=15.11, mean=0.05909, std=2.73, absmax=15.11 +2025-11-04 13:03:28,948 ERROR: Encountered non-finite generator loss at iter 18721; skipping update. +2025-11-04 13:03:28,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,950 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:28,951 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:28,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.76, mean=-0.3391, std=2.893, absmax=11.76 +2025-11-04 13:03:28,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=11.53, mean=-0.3221, std=2.803, absmax=11.53 +2025-11-04 13:03:29,309 ERROR: Encountered non-finite generator loss at iter 18722; skipping update. +2025-11-04 13:03:29,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:29,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:29,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:29,311 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:29,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.36, mean=-0.1317, std=3.002, absmax=14.36 +2025-11-04 13:03:29,312 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=13.98, mean=-0.1706, std=2.886, absmax=13.98 +2025-11-04 13:03:29,669 ERROR: Encountered non-finite generator loss at iter 18723; skipping update. +2025-11-04 13:03:29,670 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:29,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:29,671 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:29,671 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:29,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.15, mean=-0.2229, std=3.264, absmax=13.97 +2025-11-04 13:03:29,672 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=9.983, mean=-0.2239, std=2.987, absmax=12.3 +2025-11-04 13:03:30,029 ERROR: Encountered non-finite generator loss at iter 18724; skipping update. +2025-11-04 13:03:30,030 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,031 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,031 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:30,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=10.06, mean=-0.2882, std=3.029, absmax=13.77 +2025-11-04 13:03:30,033 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=9.543, mean=-0.2702, std=2.962, absmax=12.88 +2025-11-04 13:03:30,390 ERROR: Encountered non-finite generator loss at iter 18725; skipping update. +2025-11-04 13:03:30,391 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,391 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,392 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,392 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:30,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.89, mean=-0.3112, std=2.783, absmax=14.89 +2025-11-04 13:03:30,393 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.78, mean=-0.2819, std=2.604, absmax=12.72 +2025-11-04 13:03:30,750 ERROR: Encountered non-finite generator loss at iter 18726; skipping update. +2025-11-04 13:03:30,751 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:30,752 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:30,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=15.36, mean=-0.2986, std=3.03, absmax=15.36 +2025-11-04 13:03:30,754 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=12.25, mean=-0.2935, std=2.697, absmax=12.25 +2025-11-04 13:03:31,111 ERROR: Encountered non-finite generator loss at iter 18727; skipping update. +2025-11-04 13:03:31,112 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,113 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,113 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:31,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.5, mean=-0.2165, std=2.79, absmax=13.24 +2025-11-04 13:03:31,114 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=9.444, mean=-0.2004, std=2.518, absmax=11.69 +2025-11-04 13:03:31,471 ERROR: Encountered non-finite generator loss at iter 18728; skipping update. +2025-11-04 13:03:31,472 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,473 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:31,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=10.55, mean=-0.3067, std=2.872, absmax=12.84 +2025-11-04 13:03:31,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.36, mean=-0.301, std=2.691, absmax=11.31 +2025-11-04 13:03:31,832 ERROR: Encountered non-finite generator loss at iter 18729; skipping update. +2025-11-04 13:03:31,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:31,834 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:31,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.59, mean=-0.1058, std=3.033, absmax=13.1 +2025-11-04 13:03:31,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.8, mean=-0.1358, std=2.8, absmax=11.8 +2025-11-04 13:03:32,192 ERROR: Encountered non-finite generator loss at iter 18730; skipping update. +2025-11-04 13:03:32,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:32,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.69, mean=-0.01292, std=3.17, absmax=13.18 +2025-11-04 13:03:32,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=11.52, mean=-0.02783, std=2.963, absmax=12.6 +2025-11-04 13:03:32,553 ERROR: Encountered non-finite generator loss at iter 18731; skipping update. +2025-11-04 13:03:32,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,554 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:32,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.38, mean=-0.119, std=3.445, absmax=13.38 +2025-11-04 13:03:32,555 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.96, mean=-0.1782, std=3.161, absmax=12.1 +2025-11-04 13:03:32,912 ERROR: Encountered non-finite generator loss at iter 18732; skipping update. +2025-11-04 13:03:32,913 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:32,914 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:32,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=18.93, mean=-0.2938, std=3.446, absmax=18.93 +2025-11-04 13:03:32,915 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=16.95, mean=-0.2779, std=3.169, absmax=16.95 +2025-11-04 13:03:33,272 ERROR: Encountered non-finite generator loss at iter 18733; skipping update. +2025-11-04 13:03:33,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,274 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:33,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.58, max=15.19, mean=-0.04083, std=3.426, absmax=15.58 +2025-11-04 13:03:33,275 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=13.12, mean=-0.06331, std=3.176, absmax=13.12 +2025-11-04 13:03:33,632 ERROR: Encountered non-finite generator loss at iter 18734; skipping update. +2025-11-04 13:03:33,633 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:33,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=10.78, mean=-0.1958, std=2.647, absmax=13.01 +2025-11-04 13:03:33,636 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=10.18, mean=-0.1232, std=2.49, absmax=12.43 +2025-11-04 13:03:33,993 ERROR: Encountered non-finite generator loss at iter 18735; skipping update. +2025-11-04 13:03:33,994 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,995 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:33,995 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:33,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=10.96, mean=-0.1804, std=3.208, absmax=13.6 +2025-11-04 13:03:33,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.98, max=12.5, mean=-0.1708, std=3.091, absmax=13.98 +2025-11-04 13:03:34,353 ERROR: Encountered non-finite generator loss at iter 18736; skipping update. +2025-11-04 13:03:34,354 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:34,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:34,355 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:34,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:34,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.24, max=14.39, mean=0.0003633, std=3.193, absmax=15.24 +2025-11-04 13:03:34,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=12.38, mean=-0.001676, std=2.911, absmax=12.38 +2025-11-04 13:03:34,713 ERROR: Encountered non-finite generator loss at iter 18737; skipping update. +2025-11-04 13:03:34,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:34,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:34,715 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:34,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:34,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=16.52, mean=0.1093, std=3.575, absmax=16.52 +2025-11-04 13:03:34,717 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=16.15, mean=0.07409, std=3.337, absmax=16.15 +2025-11-04 13:03:35,074 ERROR: Encountered non-finite generator loss at iter 18738; skipping update. +2025-11-04 13:03:35,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:35,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=14.81, mean=-0.007664, std=3.498, absmax=14.81 +2025-11-04 13:03:35,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=13.5, mean=0.02785, std=3.291, absmax=13.5 +2025-11-04 13:03:35,434 ERROR: Encountered non-finite generator loss at iter 18739; skipping update. +2025-11-04 13:03:35,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,437 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:35,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=17.65, mean=-0.2549, std=3.033, absmax=17.65 +2025-11-04 13:03:35,438 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=16.67, mean=-0.2978, std=2.882, absmax=16.67 +2025-11-04 13:03:35,795 ERROR: Encountered non-finite generator loss at iter 18740; skipping update. +2025-11-04 13:03:35,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:35,797 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:35,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.64, mean=-0.01115, std=3.287, absmax=12.64 +2025-11-04 13:03:35,798 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=12.67, mean=-0.03323, std=3.206, absmax=12.67 +2025-11-04 13:03:36,155 ERROR: Encountered non-finite generator loss at iter 18741; skipping update. +2025-11-04 13:03:36,156 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:36,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.33, mean=-0.1727, std=2.798, absmax=13.42 +2025-11-04 13:03:36,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=11.17, mean=-0.1854, std=2.623, absmax=11.8 +2025-11-04 13:03:36,516 ERROR: Encountered non-finite generator loss at iter 18742; skipping update. +2025-11-04 13:03:36,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:36,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=12.71, mean=-0.1883, std=3.722, absmax=15.75 +2025-11-04 13:03:36,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.68, max=12.33, mean=-0.1674, std=3.458, absmax=14.68 +2025-11-04 13:03:36,880 ERROR: Encountered non-finite generator loss at iter 18743; skipping update. +2025-11-04 13:03:36,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:36,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:36,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.37, mean=0.007684, std=2.771, absmax=13.37 +2025-11-04 13:03:36,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=12.54, mean=0.007106, std=2.651, absmax=12.54 +2025-11-04 13:03:37,242 ERROR: Encountered non-finite generator loss at iter 18744; skipping update. +2025-11-04 13:03:37,243 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,244 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:37,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.77, mean=-0.2767, std=3.369, absmax=13.77 +2025-11-04 13:03:37,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=12.52, mean=-0.2539, std=3.059, absmax=12.78 +2025-11-04 13:03:37,604 ERROR: Encountered non-finite generator loss at iter 18745; skipping update. +2025-11-04 13:03:37,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:37,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.09, mean=-0.2649, std=2.5, absmax=11.93 +2025-11-04 13:03:37,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=10.29, mean=-0.2494, std=2.397, absmax=10.56 +2025-11-04 13:03:37,964 ERROR: Encountered non-finite generator loss at iter 18746; skipping update. +2025-11-04 13:03:37,965 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,966 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:37,967 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:37,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=10.98, mean=-0.122, std=3.048, absmax=13.22 +2025-11-04 13:03:37,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=9.635, mean=-0.17, std=2.753, absmax=11.43 +2025-11-04 13:03:38,325 ERROR: Encountered non-finite generator loss at iter 18747; skipping update. +2025-11-04 13:03:38,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:38,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:38,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:38,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:38,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.4, mean=-0.1754, std=3.046, absmax=13.4 +2025-11-04 13:03:38,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=11.31, mean=-0.1251, std=2.868, absmax=11.31 +2025-11-04 13:03:38,686 ERROR: Encountered non-finite generator loss at iter 18748; skipping update. +2025-11-04 13:03:38,687 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:38,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:38,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:38,688 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:38,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.5, mean=-0.3044, std=2.795, absmax=15.5 +2025-11-04 13:03:38,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=13.07, mean=-0.2677, std=2.583, absmax=13.07 +2025-11-04 13:03:39,045 ERROR: Encountered non-finite generator loss at iter 18749; skipping update. +2025-11-04 13:03:39,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,046 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:39,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.47, mean=-0.1864, std=2.846, absmax=13.47 +2025-11-04 13:03:39,048 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.62, mean=-0.2025, std=2.634, absmax=11.62 +2025-11-04 13:03:39,405 ERROR: Encountered non-finite generator loss at iter 18750; skipping update. +2025-11-04 13:03:39,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,406 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:39,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=11.18, mean=-0.2272, std=2.934, absmax=14.45 +2025-11-04 13:03:39,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=9.522, mean=-0.2017, std=2.737, absmax=12.27 +2025-11-04 13:03:39,765 ERROR: Encountered non-finite generator loss at iter 18751; skipping update. +2025-11-04 13:03:39,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:39,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:39,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=11.82, mean=-0.1066, std=2.637, absmax=11.82 +2025-11-04 13:03:39,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=10.04, mean=-0.08738, std=2.385, absmax=10.48 +2025-11-04 13:03:40,125 ERROR: Encountered non-finite generator loss at iter 18752; skipping update. +2025-11-04 13:03:40,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,126 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,127 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:40,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=16.86, mean=-0.1822, std=3.223, absmax=16.86 +2025-11-04 13:03:40,128 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.96, max=13.71, mean=-0.1372, std=3.018, absmax=13.96 +2025-11-04 13:03:40,485 ERROR: Encountered non-finite generator loss at iter 18753; skipping update. +2025-11-04 13:03:40,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:40,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=15.27, mean=0.00955, std=3.532, absmax=15.27 +2025-11-04 13:03:40,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=13.41, mean=0.01319, std=3.267, absmax=13.41 +2025-11-04 13:03:40,845 ERROR: Encountered non-finite generator loss at iter 18754; skipping update. +2025-11-04 13:03:40,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,846 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:40,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:40,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=11.94, mean=-0.13, std=3.308, absmax=13.78 +2025-11-04 13:03:40,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.32, mean=-0.102, std=3.137, absmax=12.62 +2025-11-04 13:03:41,205 ERROR: Encountered non-finite generator loss at iter 18755; skipping update. +2025-11-04 13:03:41,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,207 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:41,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.06, mean=0.05433, std=3.39, absmax=14.06 +2025-11-04 13:03:41,209 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=12.6, mean=0.05446, std=3.2, absmax=12.6 +2025-11-04 13:03:41,565 ERROR: Encountered non-finite generator loss at iter 18756; skipping update. +2025-11-04 13:03:41,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:41,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.42, mean=-0.08324, std=3.411, absmax=14.42 +2025-11-04 13:03:41,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=13.65, mean=-0.08942, std=3.187, absmax=13.65 +2025-11-04 13:03:41,925 ERROR: Encountered non-finite generator loss at iter 18757; skipping update. +2025-11-04 13:03:41,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:41,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:41,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=15.51, mean=-0.1001, std=2.991, absmax=15.51 +2025-11-04 13:03:41,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=14.34, mean=-0.06981, std=2.716, absmax=14.34 +2025-11-04 13:03:42,284 ERROR: Encountered non-finite generator loss at iter 18758; skipping update. +2025-11-04 13:03:42,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:42,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:42,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:42,286 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:42,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=16.16, mean=-0.2042, std=2.375, absmax=16.16 +2025-11-04 13:03:42,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=14.57, mean=-0.2073, std=2.325, absmax=14.57 +2025-11-04 13:03:42,644 ERROR: Encountered non-finite generator loss at iter 18759; skipping update. +2025-11-04 13:03:42,645 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:42,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:42,646 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:42,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:42,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.55, mean=-0.005432, std=2.791, absmax=12.97 +2025-11-04 13:03:42,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=10.54, mean=-0.01934, std=2.562, absmax=11.96 +2025-11-04 13:03:43,005 ERROR: Encountered non-finite generator loss at iter 18760; skipping update. +2025-11-04 13:03:43,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:43,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=12.08, mean=-0.1295, std=2.353, absmax=12.08 +2025-11-04 13:03:43,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=10.22, mean=-0.1229, std=2.263, absmax=10.24 +2025-11-04 13:03:43,364 ERROR: Encountered non-finite generator loss at iter 18761; skipping update. +2025-11-04 13:03:43,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,366 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:43,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.5, mean=-0.2113, std=2.519, absmax=12.3 +2025-11-04 13:03:43,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.63, mean=-0.1869, std=2.327, absmax=10.96 +2025-11-04 13:03:43,724 ERROR: Encountered non-finite generator loss at iter 18762; skipping update. +2025-11-04 13:03:43,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:43,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:43,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=16.41, mean=0.04381, std=3.703, absmax=16.41 +2025-11-04 13:03:43,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=14.14, mean=0.01366, std=3.437, absmax=14.14 +2025-11-04 13:03:44,085 ERROR: Encountered non-finite generator loss at iter 18763; skipping update. +2025-11-04 13:03:44,086 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,087 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:44,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=15.02, mean=0.1057, std=3.805, absmax=15.02 +2025-11-04 13:03:44,089 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.21, max=14.69, mean=0.1588, std=3.619, absmax=14.69 +2025-11-04 13:03:44,445 ERROR: Encountered non-finite generator loss at iter 18764; skipping update. +2025-11-04 13:03:44,446 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,447 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,447 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:44,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=14.25, mean=0.1524, std=3.004, absmax=14.66 +2025-11-04 13:03:44,448 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=12.73, mean=0.1142, std=2.748, absmax=12.78 +2025-11-04 13:03:44,804 ERROR: Encountered non-finite generator loss at iter 18765; skipping update. +2025-11-04 13:03:44,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:44,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:44,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.53, mean=-0.2039, std=2.686, absmax=12.53 +2025-11-04 13:03:44,808 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=11.81, mean=-0.1981, std=2.538, absmax=11.81 +2025-11-04 13:03:45,164 ERROR: Encountered non-finite generator loss at iter 18766; skipping update. +2025-11-04 13:03:45,165 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,166 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,166 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:45,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.18, mean=-0.2797, std=2.761, absmax=11.2 +2025-11-04 13:03:45,168 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=9.463, mean=-0.2732, std=2.573, absmax=11.35 +2025-11-04 13:03:45,525 ERROR: Encountered non-finite generator loss at iter 18767; skipping update. +2025-11-04 13:03:45,526 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,527 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:45,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.38, mean=-0.1845, std=3.472, absmax=13.38 +2025-11-04 13:03:45,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=11.14, mean=-0.1802, std=3.18, absmax=12.53 +2025-11-04 13:03:45,885 ERROR: Encountered non-finite generator loss at iter 18768; skipping update. +2025-11-04 13:03:45,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:45,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:45,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=13.15, mean=-0.2415, std=3.503, absmax=15.01 +2025-11-04 13:03:45,888 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=11.82, mean=-0.2565, std=3.228, absmax=12.99 +2025-11-04 13:03:46,245 ERROR: Encountered non-finite generator loss at iter 18769; skipping update. +2025-11-04 13:03:46,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,247 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:46,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.45, mean=-0.2617, std=2.539, absmax=12.45 +2025-11-04 13:03:46,248 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=11.42, mean=-0.2581, std=2.374, absmax=11.42 +2025-11-04 13:03:46,605 ERROR: Encountered non-finite generator loss at iter 18770; skipping update. +2025-11-04 13:03:46,606 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,607 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,607 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:46,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12, mean=-0.2461, std=3.216, absmax=13.19 +2025-11-04 13:03:46,608 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=10.74, mean=-0.2497, std=2.992, absmax=11.62 +2025-11-04 13:03:46,965 ERROR: Encountered non-finite generator loss at iter 18771; skipping update. +2025-11-04 13:03:46,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:46,967 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:46,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=16.7, mean=-0.291, std=3.639, absmax=16.7 +2025-11-04 13:03:46,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=14.45, mean=-0.2951, std=3.437, absmax=14.45 +2025-11-04 13:03:47,325 ERROR: Encountered non-finite generator loss at iter 18772; skipping update. +2025-11-04 13:03:47,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:47,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:47,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:47,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:47,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.63, mean=-0.3915, std=3.522, absmax=13.63 +2025-11-04 13:03:47,328 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=11.61, mean=-0.3431, std=3.425, absmax=12.4 +2025-11-04 13:03:47,685 ERROR: Encountered non-finite generator loss at iter 18773; skipping update. +2025-11-04 13:03:47,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:47,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:47,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:47,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:47,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.99, mean=-0.2038, std=2.438, absmax=13.99 +2025-11-04 13:03:47,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=12.17, mean=-0.2255, std=2.256, absmax=12.17 +2025-11-04 13:03:48,045 ERROR: Encountered non-finite generator loss at iter 18774; skipping update. +2025-11-04 13:03:48,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:48,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.57, mean=-0.07844, std=3.026, absmax=13.57 +2025-11-04 13:03:48,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=12.35, mean=-0.09554, std=2.753, absmax=12.35 +2025-11-04 13:03:48,405 ERROR: Encountered non-finite generator loss at iter 18775; skipping update. +2025-11-04 13:03:48,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,408 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:48,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.71, mean=-0.003623, std=3.277, absmax=12.71 +2025-11-04 13:03:48,409 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=12.25, mean=-0.0009876, std=3.048, absmax=12.25 +2025-11-04 13:03:48,766 ERROR: Encountered non-finite generator loss at iter 18776; skipping update. +2025-11-04 13:03:48,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,767 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:48,768 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:48,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=14.33, mean=-0.03488, std=3.374, absmax=14.33 +2025-11-04 13:03:48,769 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.14, mean=-0.02178, std=3.106, absmax=13.14 +2025-11-04 13:03:49,125 ERROR: Encountered non-finite generator loss at iter 18777; skipping update. +2025-11-04 13:03:49,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,127 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:49,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.08, mean=-0.3184, std=3.355, absmax=13.05 +2025-11-04 13:03:49,129 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.07, mean=-0.2687, std=3.172, absmax=12.07 +2025-11-04 13:03:49,484 ERROR: Encountered non-finite generator loss at iter 18778; skipping update. +2025-11-04 13:03:49,485 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,486 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:49,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.26, mean=-0.2262, std=2.63, absmax=13.26 +2025-11-04 13:03:49,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=11.62, mean=-0.2236, std=2.465, absmax=11.62 +2025-11-04 13:03:49,845 ERROR: Encountered non-finite generator loss at iter 18779; skipping update. +2025-11-04 13:03:49,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,846 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:49,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:49,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.44, mean=-0.1249, std=3.009, absmax=12.44 +2025-11-04 13:03:49,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.24, mean=-0.1361, std=2.841, absmax=11.24 +2025-11-04 13:03:50,205 ERROR: Encountered non-finite generator loss at iter 18780; skipping update. +2025-11-04 13:03:50,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,206 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,207 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:50,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=16.31, mean=0.001544, std=3.82, absmax=16.31 +2025-11-04 13:03:50,208 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.89, max=12.83, mean=-0.01721, std=3.528, absmax=13.89 +2025-11-04 13:03:50,564 ERROR: Encountered non-finite generator loss at iter 18781; skipping update. +2025-11-04 13:03:50,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:50,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.47, mean=-0.2278, std=2.774, absmax=13.11 +2025-11-04 13:03:50,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.11, mean=-0.2113, std=2.604, absmax=12.03 +2025-11-04 13:03:50,924 ERROR: Encountered non-finite generator loss at iter 18782; skipping update. +2025-11-04 13:03:50,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:50,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:50,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.6, mean=0.05605, std=3.294, absmax=13.6 +2025-11-04 13:03:50,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.589, max=12.75, mean=0.05906, std=2.979, absmax=12.75 +2025-11-04 13:03:51,284 ERROR: Encountered non-finite generator loss at iter 18783; skipping update. +2025-11-04 13:03:51,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:51,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:51,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:51,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:51,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.06, mean=-0.2803, std=2.937, absmax=13.16 +2025-11-04 13:03:51,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=10.28, mean=-0.2295, std=2.71, absmax=11.3 +2025-11-04 13:03:51,645 ERROR: Encountered non-finite generator loss at iter 18784; skipping update. +2025-11-04 13:03:51,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:51,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:51,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:51,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:51,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.79, mean=-0.2377, std=2.634, absmax=14.06 +2025-11-04 13:03:51,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=10.21, mean=-0.2303, std=2.501, absmax=12.16 +2025-11-04 13:03:52,005 ERROR: Encountered non-finite generator loss at iter 18785; skipping update. +2025-11-04 13:03:52,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:52,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=13.71, mean=-0.3205, std=2.73, absmax=14.39 +2025-11-04 13:03:52,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=11.48, mean=-0.3184, std=2.489, absmax=12.53 +2025-11-04 13:03:52,365 ERROR: Encountered non-finite generator loss at iter 18786; skipping update. +2025-11-04 13:03:52,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:52,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=16.49, mean=-0.03993, std=2.788, absmax=16.49 +2025-11-04 13:03:52,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=13.87, mean=-0.07183, std=2.576, absmax=13.87 +2025-11-04 13:03:52,725 ERROR: Encountered non-finite generator loss at iter 18787; skipping update. +2025-11-04 13:03:52,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:52,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:52,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=11.66, mean=-0.03549, std=2.996, absmax=11.66 +2025-11-04 13:03:52,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.75, mean=-0.04953, std=2.723, absmax=10.85 +2025-11-04 13:03:53,085 ERROR: Encountered non-finite generator loss at iter 18788; skipping update. +2025-11-04 13:03:53,086 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:53,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=15.4, mean=0.1602, std=3.477, absmax=15.4 +2025-11-04 13:03:53,088 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=13.11, mean=0.1349, std=3.206, absmax=13.11 +2025-11-04 13:03:53,445 ERROR: Encountered non-finite generator loss at iter 18789; skipping update. +2025-11-04 13:03:53,446 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,447 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,447 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:53,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=9.595, mean=-0.2171, std=2.437, absmax=11.08 +2025-11-04 13:03:53,448 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=8.614, mean=-0.2176, std=2.377, absmax=10.58 +2025-11-04 13:03:53,805 ERROR: Encountered non-finite generator loss at iter 18790; skipping update. +2025-11-04 13:03:53,806 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,807 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:53,807 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:53,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.17, mean=-0.06971, std=2.924, absmax=13.75 +2025-11-04 13:03:53,808 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=10.12, mean=-0.01965, std=2.84, absmax=11.64 +2025-11-04 13:03:54,165 ERROR: Encountered non-finite generator loss at iter 18791; skipping update. +2025-11-04 13:03:54,166 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,167 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,167 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:54,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.17, mean=-0.2655, std=2.698, absmax=12.4 +2025-11-04 13:03:54,168 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=9.829, mean=-0.247, std=2.572, absmax=10.71 +2025-11-04 13:03:54,525 ERROR: Encountered non-finite generator loss at iter 18792; skipping update. +2025-11-04 13:03:54,526 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,527 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,527 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:54,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.86, mean=-0.284, std=3.068, absmax=12.86 +2025-11-04 13:03:54,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=11.93, mean=-0.2797, std=2.703, absmax=11.93 +2025-11-04 13:03:54,885 ERROR: Encountered non-finite generator loss at iter 18793; skipping update. +2025-11-04 13:03:54,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:54,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:54,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.24, mean=-0.05765, std=2.747, absmax=13.24 +2025-11-04 13:03:54,889 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=13.58, mean=-0.04289, std=2.622, absmax=13.58 +2025-11-04 13:03:55,245 ERROR: Encountered non-finite generator loss at iter 18794; skipping update. +2025-11-04 13:03:55,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,247 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:55,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.39, mean=-0.0691, std=3.733, absmax=14.39 +2025-11-04 13:03:55,248 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=12.84, mean=-0.1278, std=3.48, absmax=12.84 +2025-11-04 13:03:55,605 ERROR: Encountered non-finite generator loss at iter 18795; skipping update. +2025-11-04 13:03:55,606 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,607 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,607 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:55,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=12.27, mean=-0.1143, std=3.154, absmax=14.59 +2025-11-04 13:03:55,608 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=10.86, mean=-0.09772, std=2.893, absmax=12.91 +2025-11-04 13:03:55,965 ERROR: Encountered non-finite generator loss at iter 18796; skipping update. +2025-11-04 13:03:55,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:55,967 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:55,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.73, mean=-0.3677, std=2.686, absmax=14.73 +2025-11-04 13:03:55,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=12.15, mean=-0.3304, std=2.538, absmax=12.15 +2025-11-04 13:03:56,325 ERROR: Encountered non-finite generator loss at iter 18797; skipping update. +2025-11-04 13:03:56,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:56,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:56,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:56,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:56,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.58, mean=0.1789, std=3.686, absmax=13.58 +2025-11-04 13:03:56,328 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=13.06, mean=0.1793, std=3.487, absmax=13.06 +2025-11-04 13:03:56,685 ERROR: Encountered non-finite generator loss at iter 18798; skipping update. +2025-11-04 13:03:56,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:56,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:56,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:56,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:56,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.9, mean=-0.1754, std=2.587, absmax=11.9 +2025-11-04 13:03:56,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.756, max=9.938, mean=-0.1584, std=2.386, absmax=9.938 +2025-11-04 13:03:57,045 ERROR: Encountered non-finite generator loss at iter 18799; skipping update. +2025-11-04 13:03:57,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:57,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=11.02, mean=-0.294, std=3.106, absmax=14.87 +2025-11-04 13:03:57,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=9.995, mean=-0.2611, std=2.872, absmax=13.5 +2025-11-04 13:03:57,405 ERROR: Encountered non-finite generator loss at iter 18800; skipping update. +2025-11-04 13:03:57,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:57,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=11.95, mean=-0.0957, std=3.288, absmax=14.62 +2025-11-04 13:03:57,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=9.832, mean=-0.08006, std=3.147, absmax=13.11 +2025-11-04 13:03:57,409 INFO: [38..][epoch: 0, step: 18,800, lr:(2.000e-04,)] [eta: 1 day, 10:20:11, time (data): 0.360 (0.000)] +2025-11-04 13:03:57,765 ERROR: Encountered non-finite generator loss at iter 18801; skipping update. +2025-11-04 13:03:57,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,767 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:57,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:57,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.06, mean=-0.2532, std=2.799, absmax=12.9 +2025-11-04 13:03:57,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=10.6, mean=-0.3145, std=2.661, absmax=12.79 +2025-11-04 13:03:58,125 ERROR: Encountered non-finite generator loss at iter 18802; skipping update. +2025-11-04 13:03:58,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,127 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:58,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=13.41, mean=-0.1448, std=3.165, absmax=15.41 +2025-11-04 13:03:58,128 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15, max=12.19, mean=-0.1051, std=2.949, absmax=15 +2025-11-04 13:03:58,485 ERROR: Encountered non-finite generator loss at iter 18803; skipping update. +2025-11-04 13:03:58,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:58,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=11.46, mean=-0.2312, std=3.274, absmax=13.72 +2025-11-04 13:03:58,489 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=9.094, mean=-0.2323, std=2.933, absmax=12.33 +2025-11-04 13:03:58,845 ERROR: Encountered non-finite generator loss at iter 18804; skipping update. +2025-11-04 13:03:58,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:58,848 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:58,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.07, mean=-0.0937, std=2.556, absmax=13.18 +2025-11-04 13:03:58,849 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=10.42, mean=-0.1218, std=2.337, absmax=11.15 +2025-11-04 13:03:59,205 ERROR: Encountered non-finite generator loss at iter 18805; skipping update. +2025-11-04 13:03:59,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,207 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:59,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=10.92, mean=-0.2115, std=2.576, absmax=10.92 +2025-11-04 13:03:59,208 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.741, max=9.871, mean=-0.191, std=2.391, absmax=9.871 +2025-11-04 13:03:59,565 ERROR: Encountered non-finite generator loss at iter 18806; skipping update. +2025-11-04 13:03:59,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:59,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=11.2, mean=-0.3535, std=2.885, absmax=14.44 +2025-11-04 13:03:59,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=10.9, mean=-0.3444, std=2.748, absmax=12.19 +2025-11-04 13:03:59,925 ERROR: Encountered non-finite generator loss at iter 18807; skipping update. +2025-11-04 13:03:59,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:03:59,928 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:03:59,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=17.27, mean=0.07799, std=3.178, absmax=17.27 +2025-11-04 13:03:59,929 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=14.89, mean=-0.01002, std=2.899, absmax=14.89 +2025-11-04 13:04:00,285 ERROR: Encountered non-finite generator loss at iter 18808; skipping update. +2025-11-04 13:04:00,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:00,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:00,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:00,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:00,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.39, max=14.23, mean=-0.2469, std=3.632, absmax=17.39 +2025-11-04 13:04:00,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.87, max=13.24, mean=-0.2303, std=3.313, absmax=14.87 +2025-11-04 13:04:00,645 ERROR: Encountered non-finite generator loss at iter 18809; skipping update. +2025-11-04 13:04:00,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:00,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:00,646 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:00,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:00,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=13.21, mean=-0.195, std=3.292, absmax=14.7 +2025-11-04 13:04:00,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=11.93, mean=-0.1858, std=3.012, absmax=12.29 +2025-11-04 13:04:01,005 ERROR: Encountered non-finite generator loss at iter 18810; skipping update. +2025-11-04 13:04:01,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,006 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:01,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=13.81, mean=-0.317, std=2.498, absmax=13.81 +2025-11-04 13:04:01,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=9.563, mean=-0.3138, std=2.299, absmax=12.06 +2025-11-04 13:04:01,364 ERROR: Encountered non-finite generator loss at iter 18811; skipping update. +2025-11-04 13:04:01,365 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,366 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,366 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:01,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=10.86, mean=-0.1229, std=2.776, absmax=11.9 +2025-11-04 13:04:01,367 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.63, mean=-0.13, std=2.67, absmax=11.57 +2025-11-04 13:04:01,724 ERROR: Encountered non-finite generator loss at iter 18812; skipping update. +2025-11-04 13:04:01,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,724 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:01,725 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:01,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=9.736, mean=-0.2801, std=2.942, absmax=13.07 +2025-11-04 13:04:01,726 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=9.231, mean=-0.256, std=2.946, absmax=13.34 +2025-11-04 13:04:02,082 ERROR: Encountered non-finite generator loss at iter 18813; skipping update. +2025-11-04 13:04:02,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:02,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.42, mean=-0.1785, std=3.038, absmax=14.42 +2025-11-04 13:04:02,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=12.21, mean=-0.1345, std=2.743, absmax=12.21 +2025-11-04 13:04:02,440 ERROR: Encountered non-finite generator loss at iter 18814; skipping update. +2025-11-04 13:04:02,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:02,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.36, max=9.792, mean=-0.1611, std=2.343, absmax=10.36 +2025-11-04 13:04:02,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.622, max=8.794, mean=-0.1415, std=2.219, absmax=9.622 +2025-11-04 13:04:02,800 ERROR: Encountered non-finite generator loss at iter 18815; skipping update. +2025-11-04 13:04:02,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:02,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:02,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.58, mean=-0.1557, std=3.084, absmax=14.58 +2025-11-04 13:04:02,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=12.71, mean=-0.1535, std=2.803, absmax=12.71 +2025-11-04 13:04:03,158 ERROR: Encountered non-finite generator loss at iter 18816; skipping update. +2025-11-04 13:04:03,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:03,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.85, mean=-0.2837, std=3.292, absmax=14.85 +2025-11-04 13:04:03,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=13.18, mean=-0.2547, std=3.084, absmax=13.18 +2025-11-04 13:04:03,518 ERROR: Encountered non-finite generator loss at iter 18817; skipping update. +2025-11-04 13:04:03,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:03,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=16.44, mean=-0.1956, std=3.041, absmax=16.44 +2025-11-04 13:04:03,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=13.6, mean=-0.2054, std=2.82, absmax=13.6 +2025-11-04 13:04:03,877 ERROR: Encountered non-finite generator loss at iter 18818; skipping update. +2025-11-04 13:04:03,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:03,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:03,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=10.76, mean=-0.2865, std=2.774, absmax=12.46 +2025-11-04 13:04:03,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=9.319, mean=-0.266, std=2.486, absmax=11.22 +2025-11-04 13:04:04,237 ERROR: Encountered non-finite generator loss at iter 18819; skipping update. +2025-11-04 13:04:04,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:04,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.25, mean=-0.007278, std=3.207, absmax=13.25 +2025-11-04 13:04:04,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.78, mean=0.01651, std=2.967, absmax=12.78 +2025-11-04 13:04:04,597 ERROR: Encountered non-finite generator loss at iter 18820; skipping update. +2025-11-04 13:04:04,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:04,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.63, mean=0.004276, std=3.124, absmax=14.63 +2025-11-04 13:04:04,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=12.24, mean=0.0051, std=2.928, absmax=12.24 +2025-11-04 13:04:04,956 ERROR: Encountered non-finite generator loss at iter 18821; skipping update. +2025-11-04 13:04:04,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:04,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:04,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.6, mean=0.03269, std=3.011, absmax=14.6 +2025-11-04 13:04:04,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=11.59, mean=0.02736, std=2.74, absmax=12.78 +2025-11-04 13:04:05,317 ERROR: Encountered non-finite generator loss at iter 18822; skipping update. +2025-11-04 13:04:05,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:05,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:05,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:05,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:05,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=16.23, mean=-0.1498, std=3.34, absmax=16.23 +2025-11-04 13:04:05,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=13.33, mean=-0.1825, std=3.028, absmax=13.33 +2025-11-04 13:04:05,677 ERROR: Encountered non-finite generator loss at iter 18823; skipping update. +2025-11-04 13:04:05,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:05,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:05,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:05,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:05,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.39, mean=-0.1757, std=3.432, absmax=13.67 +2025-11-04 13:04:05,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=10.92, mean=-0.1518, std=3.065, absmax=13.36 +2025-11-04 13:04:06,038 ERROR: Encountered non-finite generator loss at iter 18824; skipping update. +2025-11-04 13:04:06,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:06,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=16.9, mean=-0.292, std=3.105, absmax=16.9 +2025-11-04 13:04:06,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.31, max=13.54, mean=-0.3216, std=2.928, absmax=15.31 +2025-11-04 13:04:06,398 ERROR: Encountered non-finite generator loss at iter 18825; skipping update. +2025-11-04 13:04:06,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,399 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:06,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.28, mean=-0.1194, std=2.703, absmax=14.28 +2025-11-04 13:04:06,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=11.6, mean=-0.121, std=2.515, absmax=11.6 +2025-11-04 13:04:06,757 ERROR: Encountered non-finite generator loss at iter 18826; skipping update. +2025-11-04 13:04:06,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:06,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:06,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=10.93, mean=-0.1734, std=2.716, absmax=11.84 +2025-11-04 13:04:06,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.07, mean=-0.1725, std=2.512, absmax=11.2 +2025-11-04 13:04:07,117 ERROR: Encountered non-finite generator loss at iter 18827; skipping update. +2025-11-04 13:04:07,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:07,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.32, mean=-0.1295, std=3.05, absmax=13.04 +2025-11-04 13:04:07,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.43, mean=-0.08668, std=2.834, absmax=11.43 +2025-11-04 13:04:07,477 ERROR: Encountered non-finite generator loss at iter 18828; skipping update. +2025-11-04 13:04:07,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:07,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.67, mean=-0.2788, std=3.044, absmax=13.67 +2025-11-04 13:04:07,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=10.89, mean=-0.2693, std=2.817, absmax=11.92 +2025-11-04 13:04:07,837 ERROR: Encountered non-finite generator loss at iter 18829; skipping update. +2025-11-04 13:04:07,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:07,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:07,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=13.61, mean=-0.1106, std=2.765, absmax=13.61 +2025-11-04 13:04:07,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=12.11, mean=-0.07322, std=2.658, absmax=12.11 +2025-11-04 13:04:08,197 ERROR: Encountered non-finite generator loss at iter 18830; skipping update. +2025-11-04 13:04:08,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:08,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=9.625, mean=-0.1843, std=2.493, absmax=12.58 +2025-11-04 13:04:08,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.881, max=9.397, mean=-0.1859, std=2.439, absmax=9.881 +2025-11-04 13:04:08,556 ERROR: Encountered non-finite generator loss at iter 18831; skipping update. +2025-11-04 13:04:08,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:08,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=10.01, mean=-0.3262, std=2.871, absmax=14.51 +2025-11-04 13:04:08,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=10.36, mean=-0.2937, std=2.79, absmax=13.4 +2025-11-04 13:04:08,917 ERROR: Encountered non-finite generator loss at iter 18832; skipping update. +2025-11-04 13:04:08,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:08,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:08,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.81, mean=-0.1541, std=2.892, absmax=11.92 +2025-11-04 13:04:08,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.34, mean=-0.1337, std=2.631, absmax=11.34 +2025-11-04 13:04:09,277 ERROR: Encountered non-finite generator loss at iter 18833; skipping update. +2025-11-04 13:04:09,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:09,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:09,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:09,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:09,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.45, mean=-0.2444, std=2.885, absmax=12.55 +2025-11-04 13:04:09,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.74, mean=-0.2276, std=2.731, absmax=11.28 +2025-11-04 13:04:09,637 ERROR: Encountered non-finite generator loss at iter 18834; skipping update. +2025-11-04 13:04:09,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:09,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:09,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:09,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:09,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.75, mean=-0.1717, std=3.303, absmax=13.75 +2025-11-04 13:04:09,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.12, mean=-0.1562, std=2.996, absmax=12.12 +2025-11-04 13:04:09,998 ERROR: Encountered non-finite generator loss at iter 18835; skipping update. +2025-11-04 13:04:09,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:09,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:10,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.26, mean=-0.1637, std=2.867, absmax=12.26 +2025-11-04 13:04:10,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=11.9, mean=-0.1691, std=2.764, absmax=11.9 +2025-11-04 13:04:10,358 ERROR: Encountered non-finite generator loss at iter 18836; skipping update. +2025-11-04 13:04:10,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:10,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.08, max=10.88, mean=-0.2051, std=2.337, absmax=10.88 +2025-11-04 13:04:10,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=9.741, mean=-0.2084, std=2.229, absmax=10.06 +2025-11-04 13:04:10,717 ERROR: Encountered non-finite generator loss at iter 18837; skipping update. +2025-11-04 13:04:10,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:10,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:10,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.29, mean=-0.254, std=2.911, absmax=11.35 +2025-11-04 13:04:10,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=10.17, mean=-0.1785, std=2.862, absmax=11.33 +2025-11-04 13:04:11,077 ERROR: Encountered non-finite generator loss at iter 18838; skipping update. +2025-11-04 13:04:11,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:11,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.7, mean=-0.3595, std=3.577, absmax=14.7 +2025-11-04 13:04:11,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=11.5, mean=-0.3135, std=3.204, absmax=13.55 +2025-11-04 13:04:11,437 ERROR: Encountered non-finite generator loss at iter 18839; skipping update. +2025-11-04 13:04:11,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:11,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.36, mean=-0.1199, std=3.11, absmax=13.68 +2025-11-04 13:04:11,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=12.39, mean=-0.1107, std=2.91, absmax=12.69 +2025-11-04 13:04:11,797 ERROR: Encountered non-finite generator loss at iter 18840; skipping update. +2025-11-04 13:04:11,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:11,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:11,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=18.02, mean=0.07575, std=3.461, absmax=18.02 +2025-11-04 13:04:11,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.38, max=15.32, mean=0.06598, std=3.179, absmax=15.32 +2025-11-04 13:04:12,157 ERROR: Encountered non-finite generator loss at iter 18841; skipping update. +2025-11-04 13:04:12,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:12,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=11.47, mean=-0.2655, std=3.072, absmax=13.25 +2025-11-04 13:04:12,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=9.779, mean=-0.2135, std=2.916, absmax=11.07 +2025-11-04 13:04:12,517 ERROR: Encountered non-finite generator loss at iter 18842; skipping update. +2025-11-04 13:04:12,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:12,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=14.88, mean=-0.1981, std=2.82, absmax=14.88 +2025-11-04 13:04:12,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=14.51, mean=-0.2, std=2.734, absmax=14.51 +2025-11-04 13:04:12,877 ERROR: Encountered non-finite generator loss at iter 18843; skipping update. +2025-11-04 13:04:12,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:12,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:12,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=14.7, mean=-0.04222, std=2.885, absmax=14.7 +2025-11-04 13:04:12,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.62, max=12.98, mean=-0.03277, std=2.643, absmax=12.98 +2025-11-04 13:04:13,236 ERROR: Encountered non-finite generator loss at iter 18844; skipping update. +2025-11-04 13:04:13,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:13,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=15.16, mean=0.1463, std=3.615, absmax=15.16 +2025-11-04 13:04:13,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=15.04, mean=0.171, std=3.489, absmax=15.04 +2025-11-04 13:04:13,596 ERROR: Encountered non-finite generator loss at iter 18845; skipping update. +2025-11-04 13:04:13,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:13,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=12.03, mean=-0.2512, std=3.061, absmax=13.83 +2025-11-04 13:04:13,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.16, mean=-0.2517, std=2.788, absmax=12.38 +2025-11-04 13:04:13,956 ERROR: Encountered non-finite generator loss at iter 18846; skipping update. +2025-11-04 13:04:13,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:13,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:13,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.02, mean=-0.291, std=2.983, absmax=13.02 +2025-11-04 13:04:13,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=11.44, mean=-0.2413, std=2.791, absmax=11.62 +2025-11-04 13:04:14,316 ERROR: Encountered non-finite generator loss at iter 18847; skipping update. +2025-11-04 13:04:14,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:14,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:14,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:14,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:14,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.25, mean=-0.268, std=2.631, absmax=12.85 +2025-11-04 13:04:14,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=10.7, mean=-0.3325, std=2.535, absmax=10.91 +2025-11-04 13:04:14,676 ERROR: Encountered non-finite generator loss at iter 18848; skipping update. +2025-11-04 13:04:14,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:14,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:14,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:14,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:14,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.22, mean=-0.2425, std=2.698, absmax=14.22 +2025-11-04 13:04:14,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=10.06, mean=-0.2333, std=2.511, absmax=11.81 +2025-11-04 13:04:15,036 ERROR: Encountered non-finite generator loss at iter 18849; skipping update. +2025-11-04 13:04:15,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:15,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.77, mean=-0.2884, std=2.854, absmax=13.1 +2025-11-04 13:04:15,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=11.89, mean=-0.2303, std=2.713, absmax=11.89 +2025-11-04 13:04:15,398 ERROR: Encountered non-finite generator loss at iter 18850; skipping update. +2025-11-04 13:04:15,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:15,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.97, mean=-0.1486, std=2.7, absmax=13.2 +2025-11-04 13:04:15,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=11.15, mean=-0.1503, std=2.555, absmax=11.15 +2025-11-04 13:04:15,758 ERROR: Encountered non-finite generator loss at iter 18851; skipping update. +2025-11-04 13:04:15,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:15,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:15,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.05, mean=-0.2682, std=3.249, absmax=13.57 +2025-11-04 13:04:15,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.43, max=10.64, mean=-0.237, std=3.041, absmax=13.43 +2025-11-04 13:04:16,117 ERROR: Encountered non-finite generator loss at iter 18852; skipping update. +2025-11-04 13:04:16,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:16,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=11.98, mean=-0.1005, std=2.994, absmax=14.53 +2025-11-04 13:04:16,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=10.63, mean=-0.1046, std=2.635, absmax=12 +2025-11-04 13:04:16,478 ERROR: Encountered non-finite generator loss at iter 18853; skipping update. +2025-11-04 13:04:16,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:16,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=10.43, mean=-0.09228, std=2.683, absmax=12.3 +2025-11-04 13:04:16,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=10.24, mean=-0.07246, std=2.526, absmax=10.95 +2025-11-04 13:04:16,837 ERROR: Encountered non-finite generator loss at iter 18854; skipping update. +2025-11-04 13:04:16,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:16,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:16,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.03, mean=-0.1059, std=3.129, absmax=14.03 +2025-11-04 13:04:16,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=12.79, mean=-0.06909, std=2.96, absmax=12.79 +2025-11-04 13:04:17,197 ERROR: Encountered non-finite generator loss at iter 18855; skipping update. +2025-11-04 13:04:17,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:17,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=11.49, mean=-0.2184, std=3.137, absmax=13.81 +2025-11-04 13:04:17,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.17, max=10.52, mean=-0.2368, std=3.058, absmax=14.17 +2025-11-04 13:04:17,557 ERROR: Encountered non-finite generator loss at iter 18856; skipping update. +2025-11-04 13:04:17,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:17,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=14.07, mean=-0.1652, std=3.555, absmax=14.07 +2025-11-04 13:04:17,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=13.11, mean=-0.1496, std=3.246, absmax=13.11 +2025-11-04 13:04:17,917 ERROR: Encountered non-finite generator loss at iter 18857; skipping update. +2025-11-04 13:04:17,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:17,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:17,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=15.33, mean=-0.02442, std=3.351, absmax=15.33 +2025-11-04 13:04:17,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=14.12, mean=-0.00619, std=3.122, absmax=14.12 +2025-11-04 13:04:18,277 ERROR: Encountered non-finite generator loss at iter 18858; skipping update. +2025-11-04 13:04:18,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:18,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.59, mean=-0.06255, std=3.15, absmax=12.59 +2025-11-04 13:04:18,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=11.4, mean=-0.06217, std=2.903, absmax=12.71 +2025-11-04 13:04:18,637 ERROR: Encountered non-finite generator loss at iter 18859; skipping update. +2025-11-04 13:04:18,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:18,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=14.21, mean=-0.1735, std=3.83, absmax=14.21 +2025-11-04 13:04:18,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=12.87, mean=-0.198, std=3.678, absmax=13.42 +2025-11-04 13:04:18,996 ERROR: Encountered non-finite generator loss at iter 18860; skipping update. +2025-11-04 13:04:18,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:18,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:18,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=10.33, mean=-0.09379, std=2.418, absmax=11.54 +2025-11-04 13:04:19,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=9.243, mean=-0.08876, std=2.27, absmax=10.43 +2025-11-04 13:04:19,356 ERROR: Encountered non-finite generator loss at iter 18861; skipping update. +2025-11-04 13:04:19,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:19,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:19,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:19,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:19,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=13.76, mean=-0.1994, std=2.725, absmax=13.76 +2025-11-04 13:04:19,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=10.79, mean=-0.2092, std=2.451, absmax=11.48 +2025-11-04 13:04:19,717 ERROR: Encountered non-finite generator loss at iter 18862; skipping update. +2025-11-04 13:04:19,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:19,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:19,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:19,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:19,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.08, mean=-0.208, std=3.135, absmax=13.41 +2025-11-04 13:04:19,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=9.876, mean=-0.1869, std=2.894, absmax=12.76 +2025-11-04 13:04:20,076 ERROR: Encountered non-finite generator loss at iter 18863; skipping update. +2025-11-04 13:04:20,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:20,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.85, mean=-0.05948, std=2.819, absmax=13.85 +2025-11-04 13:04:20,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.54, mean=-0.04005, std=2.646, absmax=12.54 +2025-11-04 13:04:20,436 ERROR: Encountered non-finite generator loss at iter 18864; skipping update. +2025-11-04 13:04:20,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:20,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.14, mean=-0.2791, std=2.731, absmax=13.93 +2025-11-04 13:04:20,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=10.08, mean=-0.2543, std=2.571, absmax=12.35 +2025-11-04 13:04:20,796 ERROR: Encountered non-finite generator loss at iter 18865; skipping update. +2025-11-04 13:04:20,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:20,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:20,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.62, mean=-0.1072, std=2.902, absmax=12.62 +2025-11-04 13:04:20,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.12, mean=-0.1304, std=2.73, absmax=11.12 +2025-11-04 13:04:21,156 ERROR: Encountered non-finite generator loss at iter 18866; skipping update. +2025-11-04 13:04:21,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:21,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.52, mean=-0.2832, std=2.693, absmax=12.59 +2025-11-04 13:04:21,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.98, mean=-0.2733, std=2.513, absmax=12.03 +2025-11-04 13:04:21,516 ERROR: Encountered non-finite generator loss at iter 18867; skipping update. +2025-11-04 13:04:21,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:21,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.79, mean=-0.1008, std=3.673, absmax=13.79 +2025-11-04 13:04:21,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=12.25, mean=-0.09153, std=3.37, absmax=12.57 +2025-11-04 13:04:21,876 ERROR: Encountered non-finite generator loss at iter 18868; skipping update. +2025-11-04 13:04:21,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:21,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:21,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.44, max=14.46, mean=-0.04359, std=3.034, absmax=18.44 +2025-11-04 13:04:21,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.62, max=13.3, mean=-0.04698, std=2.808, absmax=16.62 +2025-11-04 13:04:22,237 ERROR: Encountered non-finite generator loss at iter 18869; skipping update. +2025-11-04 13:04:22,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:22,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.95, mean=-0.02119, std=3.475, absmax=13.95 +2025-11-04 13:04:22,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=13.19, mean=-0.04047, std=3.336, absmax=13.19 +2025-11-04 13:04:22,597 ERROR: Encountered non-finite generator loss at iter 18870; skipping update. +2025-11-04 13:04:22,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:22,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.26, mean=-0.2966, std=2.708, absmax=11.74 +2025-11-04 13:04:22,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=10.25, mean=-0.2849, std=2.545, absmax=10.43 +2025-11-04 13:04:22,956 ERROR: Encountered non-finite generator loss at iter 18871; skipping update. +2025-11-04 13:04:22,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:22,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:22,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=15.88, mean=-0.09846, std=2.687, absmax=15.88 +2025-11-04 13:04:22,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=13.69, mean=-0.1077, std=2.444, absmax=13.69 +2025-11-04 13:04:23,317 ERROR: Encountered non-finite generator loss at iter 18872; skipping update. +2025-11-04 13:04:23,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:23,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:23,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:23,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:23,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=10.76, mean=-0.2099, std=2.714, absmax=13.09 +2025-11-04 13:04:23,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=9.719, mean=-0.1977, std=2.561, absmax=11.12 +2025-11-04 13:04:23,677 ERROR: Encountered non-finite generator loss at iter 18873; skipping update. +2025-11-04 13:04:23,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:23,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:23,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:23,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:23,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=13.51, mean=-0.2172, std=3.356, absmax=14.63 +2025-11-04 13:04:23,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.37, mean=-0.2043, std=2.99, absmax=12.41 +2025-11-04 13:04:24,036 ERROR: Encountered non-finite generator loss at iter 18874; skipping update. +2025-11-04 13:04:24,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:24,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.82, max=13.67, mean=-0.394, std=3.551, absmax=16.82 +2025-11-04 13:04:24,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=10.38, mean=-0.3809, std=3.193, absmax=12.95 +2025-11-04 13:04:24,397 ERROR: Encountered non-finite generator loss at iter 18875; skipping update. +2025-11-04 13:04:24,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:24,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.39, mean=-0.07555, std=3.182, absmax=14.32 +2025-11-04 13:04:24,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.82, mean=-0.1038, std=2.952, absmax=11.87 +2025-11-04 13:04:24,756 ERROR: Encountered non-finite generator loss at iter 18876; skipping update. +2025-11-04 13:04:24,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:24,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:24,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.78, mean=-0.1757, std=3.15, absmax=12.78 +2025-11-04 13:04:24,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.39, mean=-0.1756, std=2.973, absmax=12.39 +2025-11-04 13:04:25,117 ERROR: Encountered non-finite generator loss at iter 18877; skipping update. +2025-11-04 13:04:25,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:25,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=15.57, mean=-0.001026, std=3.423, absmax=15.57 +2025-11-04 13:04:25,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=15.29, mean=0.01516, std=3.247, absmax=15.29 +2025-11-04 13:04:25,477 ERROR: Encountered non-finite generator loss at iter 18878; skipping update. +2025-11-04 13:04:25,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:25,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=11.99, mean=-0.2028, std=2.554, absmax=11.99 +2025-11-04 13:04:25,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.75, max=10.98, mean=-0.1597, std=2.4, absmax=10.98 +2025-11-04 13:04:25,836 ERROR: Encountered non-finite generator loss at iter 18879; skipping update. +2025-11-04 13:04:25,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:25,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:25,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=11.87, mean=-0.1326, std=2.607, absmax=14.21 +2025-11-04 13:04:25,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=10.42, mean=-0.107, std=2.46, absmax=13.69 +2025-11-04 13:04:26,197 ERROR: Encountered non-finite generator loss at iter 18880; skipping update. +2025-11-04 13:04:26,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:26,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=8.878, mean=-0.3145, std=2.29, absmax=10.74 +2025-11-04 13:04:26,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.579, max=8.505, mean=-0.2992, std=2.164, absmax=9.579 +2025-11-04 13:04:26,556 ERROR: Encountered non-finite generator loss at iter 18881; skipping update. +2025-11-04 13:04:26,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:26,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=13.55, mean=-0.2794, std=3.715, absmax=13.55 +2025-11-04 13:04:26,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.77, mean=-0.2386, std=3.48, absmax=12.77 +2025-11-04 13:04:26,916 ERROR: Encountered non-finite generator loss at iter 18882; skipping update. +2025-11-04 13:04:26,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:26,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:26,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.94, max=14.23, mean=0.04016, std=3.484, absmax=15.94 +2025-11-04 13:04:26,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=14.15, mean=0.04346, std=3.267, absmax=14.15 +2025-11-04 13:04:27,276 ERROR: Encountered non-finite generator loss at iter 18883; skipping update. +2025-11-04 13:04:27,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:27,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.96, mean=-0.2861, std=2.846, absmax=13.22 +2025-11-04 13:04:27,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.938, mean=-0.3299, std=2.631, absmax=11.67 +2025-11-04 13:04:27,636 ERROR: Encountered non-finite generator loss at iter 18884; skipping update. +2025-11-04 13:04:27,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:27,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.38, mean=-0.2851, std=2.896, absmax=14.15 +2025-11-04 13:04:27,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=9.74, mean=-0.2393, std=2.614, absmax=11.85 +2025-11-04 13:04:27,996 ERROR: Encountered non-finite generator loss at iter 18885; skipping update. +2025-11-04 13:04:27,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:27,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:27,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.04, mean=-0.09081, std=2.833, absmax=13.08 +2025-11-04 13:04:27,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=12.05, mean=-0.04582, std=2.734, absmax=12.05 +2025-11-04 13:04:28,355 ERROR: Encountered non-finite generator loss at iter 18886; skipping update. +2025-11-04 13:04:28,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:28,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:28,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:28,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:28,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.87, mean=-0.2944, std=2.966, absmax=12.87 +2025-11-04 13:04:28,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.852, mean=-0.263, std=2.67, absmax=11.27 +2025-11-04 13:04:28,716 ERROR: Encountered non-finite generator loss at iter 18887; skipping update. +2025-11-04 13:04:28,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:28,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:28,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:28,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:28,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.68, mean=-0.1744, std=3.043, absmax=12.68 +2025-11-04 13:04:28,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=11.8, mean=-0.1683, std=2.85, absmax=11.99 +2025-11-04 13:04:29,076 ERROR: Encountered non-finite generator loss at iter 18888; skipping update. +2025-11-04 13:04:29,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:29,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.77, mean=-0.09219, std=2.696, absmax=12.26 +2025-11-04 13:04:29,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=9.967, mean=-0.07667, std=2.567, absmax=10.27 +2025-11-04 13:04:29,436 ERROR: Encountered non-finite generator loss at iter 18889; skipping update. +2025-11-04 13:04:29,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:29,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.99, mean=0.06101, std=3.237, absmax=13.99 +2025-11-04 13:04:29,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.06, mean=0.05327, std=2.917, absmax=12.06 +2025-11-04 13:04:29,797 ERROR: Encountered non-finite generator loss at iter 18890; skipping update. +2025-11-04 13:04:29,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:29,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:29,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.06, max=14.99, mean=-0.2316, std=3.158, absmax=17.06 +2025-11-04 13:04:29,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.78, max=14, mean=-0.2435, std=3.097, absmax=14.78 +2025-11-04 13:04:30,157 ERROR: Encountered non-finite generator loss at iter 18891; skipping update. +2025-11-04 13:04:30,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:30,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.44, mean=-0.1171, std=3.273, absmax=13.44 +2025-11-04 13:04:30,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=11.92, mean=-0.1461, std=3.044, absmax=12.55 +2025-11-04 13:04:30,517 ERROR: Encountered non-finite generator loss at iter 18892; skipping update. +2025-11-04 13:04:30,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:30,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.64, mean=-0.1349, std=3.226, absmax=13.64 +2025-11-04 13:04:30,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.99, mean=-0.1324, std=2.901, absmax=11.99 +2025-11-04 13:04:30,876 ERROR: Encountered non-finite generator loss at iter 18893; skipping update. +2025-11-04 13:04:30,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:30,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:30,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.04, mean=-0.1386, std=2.762, absmax=12.36 +2025-11-04 13:04:30,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=8.866, mean=-0.1327, std=2.625, absmax=11.52 +2025-11-04 13:04:31,236 ERROR: Encountered non-finite generator loss at iter 18894; skipping update. +2025-11-04 13:04:31,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:31,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.4, mean=-0.1572, std=3.12, absmax=14 +2025-11-04 13:04:31,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.52, mean=-0.171, std=3.011, absmax=12.52 +2025-11-04 13:04:31,596 ERROR: Encountered non-finite generator loss at iter 18895; skipping update. +2025-11-04 13:04:31,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:31,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.44, max=14.09, mean=-0.2359, std=2.835, absmax=15.44 +2025-11-04 13:04:31,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.37, mean=-0.2445, std=2.663, absmax=12.62 +2025-11-04 13:04:31,956 ERROR: Encountered non-finite generator loss at iter 18896; skipping update. +2025-11-04 13:04:31,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:31,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:31,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.12, max=11.72, mean=-0.1787, std=2.56, absmax=11.72 +2025-11-04 13:04:31,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.131, max=10.22, mean=-0.1499, std=2.479, absmax=10.22 +2025-11-04 13:04:32,316 ERROR: Encountered non-finite generator loss at iter 18897; skipping update. +2025-11-04 13:04:32,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:32,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:32,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:32,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:32,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.61, mean=0.00383, std=2.873, absmax=11.65 +2025-11-04 13:04:32,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=11.68, mean=0.02216, std=2.767, absmax=11.68 +2025-11-04 13:04:32,676 ERROR: Encountered non-finite generator loss at iter 18898; skipping update. +2025-11-04 13:04:32,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:32,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:32,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:32,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:32,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=15.06, mean=-0.02179, std=3.544, absmax=15.06 +2025-11-04 13:04:32,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=14.31, mean=0.01201, std=3.432, absmax=14.31 +2025-11-04 13:04:33,036 ERROR: Encountered non-finite generator loss at iter 18899; skipping update. +2025-11-04 13:04:33,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:33,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=16.77, mean=-0.1893, std=3.197, absmax=16.77 +2025-11-04 13:04:33,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.05, mean=-0.1298, std=2.956, absmax=12.05 +2025-11-04 13:04:33,396 ERROR: Encountered non-finite generator loss at iter 18900; skipping update. +2025-11-04 13:04:33,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:33,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.81, max=15.59, mean=-0.1689, std=3.528, absmax=15.81 +2025-11-04 13:04:33,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.18, max=15.27, mean=-0.157, std=3.335, absmax=15.27 +2025-11-04 13:04:33,400 INFO: [38..][epoch: 0, step: 18,900, lr:(2.000e-04,)] [eta: 1 day, 10:10:43, time (data): 0.360 (0.000)] +2025-11-04 13:04:33,756 ERROR: Encountered non-finite generator loss at iter 18901; skipping update. +2025-11-04 13:04:33,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:33,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:33,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=13.21, mean=-0.1387, std=3.147, absmax=14.87 +2025-11-04 13:04:33,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=12.74, mean=-0.1301, std=2.933, absmax=13.02 +2025-11-04 13:04:34,116 ERROR: Encountered non-finite generator loss at iter 18902; skipping update. +2025-11-04 13:04:34,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:34,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.36, max=12.92, mean=-0.1584, std=3.089, absmax=15.36 +2025-11-04 13:04:34,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.96, max=11.55, mean=-0.1404, std=2.811, absmax=13.96 +2025-11-04 13:04:34,476 ERROR: Encountered non-finite generator loss at iter 18903; skipping update. +2025-11-04 13:04:34,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:34,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=14.12, mean=-0.08218, std=4.044, absmax=14.12 +2025-11-04 13:04:34,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.62, max=13.68, mean=-0.08794, std=3.752, absmax=13.68 +2025-11-04 13:04:34,836 ERROR: Encountered non-finite generator loss at iter 18904; skipping update. +2025-11-04 13:04:34,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:34,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:34,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=10.7, mean=-0.2809, std=3.135, absmax=13.54 +2025-11-04 13:04:34,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=10.3, mean=-0.2908, std=3.003, absmax=12.68 +2025-11-04 13:04:35,196 ERROR: Encountered non-finite generator loss at iter 18905; skipping update. +2025-11-04 13:04:35,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:35,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.15, mean=-0.2481, std=3.117, absmax=13.26 +2025-11-04 13:04:35,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=10.66, mean=-0.2198, std=2.885, absmax=11.07 +2025-11-04 13:04:35,556 ERROR: Encountered non-finite generator loss at iter 18906; skipping update. +2025-11-04 13:04:35,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:35,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=14.42, mean=0.2095, std=3.188, absmax=14.99 +2025-11-04 13:04:35,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=13.69, mean=0.206, std=2.976, absmax=13.69 +2025-11-04 13:04:35,916 ERROR: Encountered non-finite generator loss at iter 18907; skipping update. +2025-11-04 13:04:35,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:35,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:35,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=11.37, mean=-0.2258, std=2.991, absmax=13.38 +2025-11-04 13:04:35,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=9.911, mean=-0.2488, std=2.709, absmax=11.57 +2025-11-04 13:04:36,277 ERROR: Encountered non-finite generator loss at iter 18908; skipping update. +2025-11-04 13:04:36,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:36,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.29, mean=-0.1685, std=2.558, absmax=12.63 +2025-11-04 13:04:36,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=9.51, mean=-0.1748, std=2.295, absmax=10.14 +2025-11-04 13:04:36,636 ERROR: Encountered non-finite generator loss at iter 18909; skipping update. +2025-11-04 13:04:36,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:36,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=13.31, mean=-0.2092, std=2.895, absmax=14.64 +2025-11-04 13:04:36,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=12.31, mean=-0.1667, std=2.631, absmax=12.31 +2025-11-04 13:04:36,997 ERROR: Encountered non-finite generator loss at iter 18910; skipping update. +2025-11-04 13:04:36,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:36,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:36,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=9.36, mean=-0.2871, std=2.494, absmax=11.16 +2025-11-04 13:04:37,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=8.253, mean=-0.2915, std=2.367, absmax=10.38 +2025-11-04 13:04:37,357 ERROR: Encountered non-finite generator loss at iter 18911; skipping update. +2025-11-04 13:04:37,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:37,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:37,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:37,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:37,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=11.11, mean=-0.09447, std=2.687, absmax=11.73 +2025-11-04 13:04:37,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.697, max=10.46, mean=-0.08826, std=2.499, absmax=10.46 +2025-11-04 13:04:37,717 ERROR: Encountered non-finite generator loss at iter 18912; skipping update. +2025-11-04 13:04:37,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:37,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:37,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:37,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:37,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=13.75, mean=-0.07858, std=2.802, absmax=13.75 +2025-11-04 13:04:37,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=10.82, mean=-0.08747, std=2.574, absmax=11.8 +2025-11-04 13:04:38,077 ERROR: Encountered non-finite generator loss at iter 18913; skipping update. +2025-11-04 13:04:38,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:38,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.14, mean=-0.2285, std=3.236, absmax=13.22 +2025-11-04 13:04:38,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=10.73, mean=-0.2053, std=2.956, absmax=11.84 +2025-11-04 13:04:38,436 ERROR: Encountered non-finite generator loss at iter 18914; skipping update. +2025-11-04 13:04:38,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:38,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=14.5, mean=0.0214, std=3.054, absmax=14.5 +2025-11-04 13:04:38,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=12.96, mean=0.04119, std=2.823, absmax=12.96 +2025-11-04 13:04:38,797 ERROR: Encountered non-finite generator loss at iter 18915; skipping update. +2025-11-04 13:04:38,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:38,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:38,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=10.95, mean=-0.223, std=2.876, absmax=13.06 +2025-11-04 13:04:38,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.87, mean=-0.1999, std=2.63, absmax=11.86 +2025-11-04 13:04:39,156 ERROR: Encountered non-finite generator loss at iter 18916; skipping update. +2025-11-04 13:04:39,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:39,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.8, mean=-0.132, std=2.975, absmax=13.8 +2025-11-04 13:04:39,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=11.16, mean=-0.1177, std=2.794, absmax=11.16 +2025-11-04 13:04:39,516 ERROR: Encountered non-finite generator loss at iter 18917; skipping update. +2025-11-04 13:04:39,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:39,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.52, mean=-0.08538, std=2.995, absmax=12.55 +2025-11-04 13:04:39,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=9.848, mean=-0.129, std=2.823, absmax=12.29 +2025-11-04 13:04:39,876 ERROR: Encountered non-finite generator loss at iter 18918; skipping update. +2025-11-04 13:04:39,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:39,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:39,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.55, mean=-0.0159, std=3.143, absmax=12.55 +2025-11-04 13:04:39,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=11.13, mean=0.03916, std=3.077, absmax=11.13 +2025-11-04 13:04:40,236 ERROR: Encountered non-finite generator loss at iter 18919; skipping update. +2025-11-04 13:04:40,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:40,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=12.46, mean=0.05617, std=3.668, absmax=14.79 +2025-11-04 13:04:40,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=11.53, mean=0.08756, std=3.446, absmax=12.56 +2025-11-04 13:04:40,604 ERROR: Encountered non-finite generator loss at iter 18920; skipping update. +2025-11-04 13:04:40,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,605 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:40,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=11.69, mean=-0.31, std=3.146, absmax=14.62 +2025-11-04 13:04:40,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.99, max=11.66, mean=-0.3147, std=2.963, absmax=13.99 +2025-11-04 13:04:40,963 ERROR: Encountered non-finite generator loss at iter 18921; skipping update. +2025-11-04 13:04:40,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:40,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:40,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=12.23, mean=-0.3097, std=3.013, absmax=14.3 +2025-11-04 13:04:40,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.16, max=10.52, mean=-0.2705, std=2.847, absmax=14.16 +2025-11-04 13:04:41,323 ERROR: Encountered non-finite generator loss at iter 18922; skipping update. +2025-11-04 13:04:41,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:41,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:41,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:41,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:41,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.09, mean=-0.08493, std=2.745, absmax=12.72 +2025-11-04 13:04:41,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=10.85, mean=-0.0731, std=2.523, absmax=10.85 +2025-11-04 13:04:41,683 ERROR: Encountered non-finite generator loss at iter 18923; skipping update. +2025-11-04 13:04:41,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:41,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:41,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:41,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:41,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.37, mean=-0.2841, std=2.647, absmax=11.95 +2025-11-04 13:04:41,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=9.145, mean=-0.2568, std=2.487, absmax=10.97 +2025-11-04 13:04:42,042 ERROR: Encountered non-finite generator loss at iter 18924; skipping update. +2025-11-04 13:04:42,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:42,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=13.59, mean=-0.3238, std=3.565, absmax=14.32 +2025-11-04 13:04:42,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.32, max=12.7, mean=-0.3086, std=3.332, absmax=13.32 +2025-11-04 13:04:42,401 ERROR: Encountered non-finite generator loss at iter 18925; skipping update. +2025-11-04 13:04:42,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:42,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=10.27, mean=-0.2298, std=2.63, absmax=11.6 +2025-11-04 13:04:42,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=10.03, mean=-0.2057, std=2.504, absmax=11.9 +2025-11-04 13:04:42,761 ERROR: Encountered non-finite generator loss at iter 18926; skipping update. +2025-11-04 13:04:42,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:42,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:42,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.39, mean=-0.3383, std=2.534, absmax=12 +2025-11-04 13:04:42,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10.52, mean=-0.3046, std=2.441, absmax=12.05 +2025-11-04 13:04:43,122 ERROR: Encountered non-finite generator loss at iter 18927; skipping update. +2025-11-04 13:04:43,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:43,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=15.2, mean=-0.1496, std=3.683, absmax=15.2 +2025-11-04 13:04:43,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=14.25, mean=-0.2061, std=3.341, absmax=14.25 +2025-11-04 13:04:43,481 ERROR: Encountered non-finite generator loss at iter 18928; skipping update. +2025-11-04 13:04:43,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:43,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=11.82, mean=-0.0643, std=2.926, absmax=11.82 +2025-11-04 13:04:43,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=10.84, mean=-0.07873, std=2.749, absmax=10.84 +2025-11-04 13:04:43,841 ERROR: Encountered non-finite generator loss at iter 18929; skipping update. +2025-11-04 13:04:43,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:43,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:43,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.21, mean=-0.0576, std=3.147, absmax=13.59 +2025-11-04 13:04:43,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=10.71, mean=-0.06432, std=2.85, absmax=11.3 +2025-11-04 13:04:44,201 ERROR: Encountered non-finite generator loss at iter 18930; skipping update. +2025-11-04 13:04:44,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:44,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=15.57, mean=-0.2108, std=2.695, absmax=15.57 +2025-11-04 13:04:44,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=15.73, mean=-0.1714, std=2.529, absmax=15.73 +2025-11-04 13:04:44,561 ERROR: Encountered non-finite generator loss at iter 18931; skipping update. +2025-11-04 13:04:44,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:44,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.32, mean=-0.05963, std=2.846, absmax=14.32 +2025-11-04 13:04:44,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=11.65, mean=-0.06393, std=2.577, absmax=11.65 +2025-11-04 13:04:44,921 ERROR: Encountered non-finite generator loss at iter 18932; skipping update. +2025-11-04 13:04:44,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:44,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:44,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.61, max=11.23, mean=-0.2481, std=2.37, absmax=11.23 +2025-11-04 13:04:44,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=9.696, mean=-0.2181, std=2.268, absmax=10.9 +2025-11-04 13:04:45,281 ERROR: Encountered non-finite generator loss at iter 18933; skipping update. +2025-11-04 13:04:45,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:45,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:45,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:45,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:45,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.67, mean=-0.1028, std=2.373, absmax=13.67 +2025-11-04 13:04:45,285 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.56, mean=-0.1173, std=2.217, absmax=11.56 +2025-11-04 13:04:45,641 ERROR: Encountered non-finite generator loss at iter 18934; skipping update. +2025-11-04 13:04:45,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:45,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:45,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:45,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:45,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.62, mean=-0.06275, std=3.119, absmax=12.62 +2025-11-04 13:04:45,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.95, mean=-0.05896, std=2.887, absmax=11.95 +2025-11-04 13:04:46,001 ERROR: Encountered non-finite generator loss at iter 18935; skipping update. +2025-11-04 13:04:46,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:46,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.26, mean=-0.1721, std=3.093, absmax=13.73 +2025-11-04 13:04:46,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.31, mean=-0.1684, std=2.826, absmax=11.41 +2025-11-04 13:04:46,361 ERROR: Encountered non-finite generator loss at iter 18936; skipping update. +2025-11-04 13:04:46,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:46,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.36, max=14.42, mean=-0.2335, std=2.436, absmax=14.42 +2025-11-04 13:04:46,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=11.02, mean=-0.2449, std=2.269, absmax=11.02 +2025-11-04 13:04:46,721 ERROR: Encountered non-finite generator loss at iter 18937; skipping update. +2025-11-04 13:04:46,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:46,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:46,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.27, mean=-0.2246, std=2.89, absmax=13.27 +2025-11-04 13:04:46,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=9.777, mean=-0.2347, std=2.741, absmax=11.37 +2025-11-04 13:04:47,081 ERROR: Encountered non-finite generator loss at iter 18938; skipping update. +2025-11-04 13:04:47,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:47,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.13, mean=-0.09946, std=3.457, absmax=13.13 +2025-11-04 13:04:47,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=12.2, mean=-0.07937, std=3.327, absmax=12.2 +2025-11-04 13:04:47,441 ERROR: Encountered non-finite generator loss at iter 18939; skipping update. +2025-11-04 13:04:47,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:47,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=12.71, mean=-0.1566, std=3.698, absmax=15.03 +2025-11-04 13:04:47,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=12.72, mean=-0.1322, std=3.486, absmax=13.5 +2025-11-04 13:04:47,800 ERROR: Encountered non-finite generator loss at iter 18940; skipping update. +2025-11-04 13:04:47,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:47,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:47,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.88, max=14.33, mean=-0.2075, std=2.452, absmax=14.33 +2025-11-04 13:04:47,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.794, max=13.11, mean=-0.1841, std=2.357, absmax=13.11 +2025-11-04 13:04:48,160 ERROR: Encountered non-finite generator loss at iter 18941; skipping update. +2025-11-04 13:04:48,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:48,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=10.4, mean=-0.4015, std=3.06, absmax=13.82 +2025-11-04 13:04:48,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=9.118, mean=-0.4052, std=2.919, absmax=13.17 +2025-11-04 13:04:48,519 ERROR: Encountered non-finite generator loss at iter 18942; skipping update. +2025-11-04 13:04:48,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:48,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.77, max=11.67, mean=-0.0434, std=2.782, absmax=11.67 +2025-11-04 13:04:48,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.763, max=11.27, mean=-0.02466, std=2.605, absmax=11.27 +2025-11-04 13:04:48,878 ERROR: Encountered non-finite generator loss at iter 18943; skipping update. +2025-11-04 13:04:48,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:48,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:48,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=15.21, mean=-0.0635, std=3.049, absmax=15.21 +2025-11-04 13:04:48,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=12.41, mean=-0.03367, std=2.803, absmax=12.41 +2025-11-04 13:04:49,237 ERROR: Encountered non-finite generator loss at iter 18944; skipping update. +2025-11-04 13:04:49,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:49,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.42, max=12.1, mean=-0.1593, std=2.553, absmax=12.1 +2025-11-04 13:04:49,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=10.85, mean=-0.1328, std=2.429, absmax=11.15 +2025-11-04 13:04:49,596 ERROR: Encountered non-finite generator loss at iter 18945; skipping update. +2025-11-04 13:04:49,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:49,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.3, mean=-0.1192, std=2.842, absmax=14.34 +2025-11-04 13:04:49,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=11.2, mean=-0.1285, std=2.494, absmax=13.3 +2025-11-04 13:04:49,956 ERROR: Encountered non-finite generator loss at iter 18946; skipping update. +2025-11-04 13:04:49,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:49,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:49,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.75, mean=-0.203, std=3.134, absmax=13.11 +2025-11-04 13:04:49,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=10.86, mean=-0.1438, std=2.978, absmax=12.55 +2025-11-04 13:04:50,317 ERROR: Encountered non-finite generator loss at iter 18947; skipping update. +2025-11-04 13:04:50,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:50,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:50,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:50,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:50,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.02, mean=-0.2234, std=3.251, absmax=13.76 +2025-11-04 13:04:50,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.48, max=11.11, mean=-0.21, std=3.014, absmax=13.48 +2025-11-04 13:04:50,676 ERROR: Encountered non-finite generator loss at iter 18948; skipping update. +2025-11-04 13:04:50,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:50,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:50,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:50,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:50,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=15.08, mean=0.07939, std=3.271, absmax=15.08 +2025-11-04 13:04:50,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=14.58, mean=0.1081, std=3.187, absmax=14.58 +2025-11-04 13:04:51,036 ERROR: Encountered non-finite generator loss at iter 18949; skipping update. +2025-11-04 13:04:51,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:51,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.91, max=14.41, mean=-0.06644, std=3.331, absmax=16.91 +2025-11-04 13:04:51,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.41, max=12.91, mean=-0.03497, std=3.176, absmax=14.41 +2025-11-04 13:04:51,397 ERROR: Encountered non-finite generator loss at iter 18950; skipping update. +2025-11-04 13:04:51,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:51,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.43, mean=-0.06349, std=3.149, absmax=13.43 +2025-11-04 13:04:51,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=12.01, mean=-0.09168, std=2.998, absmax=12.01 +2025-11-04 13:04:51,757 ERROR: Encountered non-finite generator loss at iter 18951; skipping update. +2025-11-04 13:04:51,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:51,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:51,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=17.45, mean=-0.1481, std=3.772, absmax=17.45 +2025-11-04 13:04:51,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=16.47, mean=-0.1311, std=3.582, absmax=16.47 +2025-11-04 13:04:52,117 ERROR: Encountered non-finite generator loss at iter 18952; skipping update. +2025-11-04 13:04:52,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:52,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.73, mean=-0.1661, std=2.874, absmax=13.73 +2025-11-04 13:04:52,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=11.19, mean=-0.1591, std=2.651, absmax=12.45 +2025-11-04 13:04:52,477 ERROR: Encountered non-finite generator loss at iter 18953; skipping update. +2025-11-04 13:04:52,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:52,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.96, mean=-0.04763, std=2.997, absmax=13.96 +2025-11-04 13:04:52,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.681, max=12.73, mean=-0.03797, std=2.714, absmax=12.73 +2025-11-04 13:04:52,837 ERROR: Encountered non-finite generator loss at iter 18954; skipping update. +2025-11-04 13:04:52,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:52,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:52,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.95, mean=-0.1819, std=2.613, absmax=13.95 +2025-11-04 13:04:52,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=11.43, mean=-0.1957, std=2.347, absmax=11.43 +2025-11-04 13:04:53,198 ERROR: Encountered non-finite generator loss at iter 18955; skipping update. +2025-11-04 13:04:53,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:53,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.7, mean=-0.4134, std=3.274, absmax=12.7 +2025-11-04 13:04:53,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.46, mean=-0.3602, std=3.129, absmax=12.46 +2025-11-04 13:04:53,557 ERROR: Encountered non-finite generator loss at iter 18956; skipping update. +2025-11-04 13:04:53,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:53,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.18, mean=-0.2551, std=3.642, absmax=13.85 +2025-11-04 13:04:53,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=11.7, mean=-0.2485, std=3.337, absmax=13.04 +2025-11-04 13:04:53,918 ERROR: Encountered non-finite generator loss at iter 18957; skipping update. +2025-11-04 13:04:53,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:53,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:53,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=15.63, mean=-0.2403, std=2.842, absmax=15.63 +2025-11-04 13:04:53,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=11.24, mean=-0.2162, std=2.603, absmax=11.24 +2025-11-04 13:04:54,277 ERROR: Encountered non-finite generator loss at iter 18958; skipping update. +2025-11-04 13:04:54,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:54,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.2, mean=-0.278, std=2.65, absmax=12.31 +2025-11-04 13:04:54,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.05, mean=-0.2813, std=2.549, absmax=11.26 +2025-11-04 13:04:54,637 ERROR: Encountered non-finite generator loss at iter 18959; skipping update. +2025-11-04 13:04:54,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:54,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=8.719, mean=-0.2081, std=2.403, absmax=11.65 +2025-11-04 13:04:54,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.571, max=7.958, mean=-0.1985, std=2.28, absmax=9.571 +2025-11-04 13:04:54,997 ERROR: Encountered non-finite generator loss at iter 18960; skipping update. +2025-11-04 13:04:54,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:54,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:55,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=10.62, mean=-0.3189, std=2.982, absmax=13.53 +2025-11-04 13:04:55,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.45, max=10.83, mean=-0.332, std=2.93, absmax=13.45 +2025-11-04 13:04:55,357 ERROR: Encountered non-finite generator loss at iter 18961; skipping update. +2025-11-04 13:04:55,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:55,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:55,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:55,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:55,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=13.76, mean=0.08012, std=3.461, absmax=13.76 +2025-11-04 13:04:55,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=13.63, mean=0.1343, std=3.234, absmax=13.63 +2025-11-04 13:04:55,717 ERROR: Encountered non-finite generator loss at iter 18962; skipping update. +2025-11-04 13:04:55,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:55,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:55,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:55,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:55,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.29, mean=-0.1821, std=3.227, absmax=14.29 +2025-11-04 13:04:55,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=11.83, mean=-0.1705, std=2.896, absmax=12.25 +2025-11-04 13:04:56,077 ERROR: Encountered non-finite generator loss at iter 18963; skipping update. +2025-11-04 13:04:56,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:56,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.55, mean=0.00615, std=3.023, absmax=12.55 +2025-11-04 13:04:56,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=11.8, mean=0.02659, std=2.798, absmax=11.8 +2025-11-04 13:04:56,438 ERROR: Encountered non-finite generator loss at iter 18964; skipping update. +2025-11-04 13:04:56,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:56,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.87, mean=-0.1213, std=2.671, absmax=12.87 +2025-11-04 13:04:56,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.62, mean=-0.1061, std=2.501, absmax=10.96 +2025-11-04 13:04:56,797 ERROR: Encountered non-finite generator loss at iter 18965; skipping update. +2025-11-04 13:04:56,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:56,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:56,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=15.94, mean=0.03118, std=3.449, absmax=15.94 +2025-11-04 13:04:56,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=14.3, mean=0.04771, std=3.238, absmax=14.3 +2025-11-04 13:04:57,157 ERROR: Encountered non-finite generator loss at iter 18966; skipping update. +2025-11-04 13:04:57,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:57,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=14.98, mean=-0.2581, std=2.798, absmax=14.98 +2025-11-04 13:04:57,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.35, max=12.42, mean=-0.2134, std=2.677, absmax=13.35 +2025-11-04 13:04:57,518 ERROR: Encountered non-finite generator loss at iter 18967; skipping update. +2025-11-04 13:04:57,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:57,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=10.28, mean=-0.3168, std=2.622, absmax=11.59 +2025-11-04 13:04:57,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=9.949, mean=-0.3062, std=2.465, absmax=10.64 +2025-11-04 13:04:57,878 ERROR: Encountered non-finite generator loss at iter 18968; skipping update. +2025-11-04 13:04:57,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:57,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:57,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.55, mean=-0.3096, std=2.642, absmax=13.06 +2025-11-04 13:04:57,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=11.21, mean=-0.2959, std=2.475, absmax=13.37 +2025-11-04 13:04:58,238 ERROR: Encountered non-finite generator loss at iter 18969; skipping update. +2025-11-04 13:04:58,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:58,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=11.55, mean=-0.1772, std=2.7, absmax=11.58 +2025-11-04 13:04:58,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.391, max=10.95, mean=-0.2019, std=2.563, absmax=10.95 +2025-11-04 13:04:58,598 ERROR: Encountered non-finite generator loss at iter 18970; skipping update. +2025-11-04 13:04:58,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:58,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=15.86, mean=0.05624, std=2.868, absmax=15.86 +2025-11-04 13:04:58,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=13.14, mean=0.02466, std=2.578, absmax=13.14 +2025-11-04 13:04:58,958 ERROR: Encountered non-finite generator loss at iter 18971; skipping update. +2025-11-04 13:04:58,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:58,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:58,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=12.84, mean=-0.06446, std=3.149, absmax=13.71 +2025-11-04 13:04:58,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.1, mean=-0.0513, std=2.931, absmax=12.1 +2025-11-04 13:04:59,318 ERROR: Encountered non-finite generator loss at iter 18972; skipping update. +2025-11-04 13:04:59,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:59,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:59,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:59,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:59,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=11.27, mean=-0.1672, std=3.388, absmax=13.93 +2025-11-04 13:04:59,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.59, max=10.7, mean=-0.1659, std=3.202, absmax=13.59 +2025-11-04 13:04:59,678 ERROR: Encountered non-finite generator loss at iter 18973; skipping update. +2025-11-04 13:04:59,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:59,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:04:59,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:04:59,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:04:59,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=16.01, mean=-0.1365, std=3.565, absmax=16.01 +2025-11-04 13:04:59,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=14.42, mean=-0.1685, std=3.376, absmax=14.42 +2025-11-04 13:05:00,038 ERROR: Encountered non-finite generator loss at iter 18974; skipping update. +2025-11-04 13:05:00,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:00,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.46, mean=-0.1338, std=2.571, absmax=13.54 +2025-11-04 13:05:00,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=11.56, mean=-0.1266, std=2.345, absmax=12.03 +2025-11-04 13:05:00,398 ERROR: Encountered non-finite generator loss at iter 18975; skipping update. +2025-11-04 13:05:00,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:00,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.95, mean=-0.1704, std=3.478, absmax=13.25 +2025-11-04 13:05:00,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=11.75, mean=-0.163, std=3.192, absmax=13.65 +2025-11-04 13:05:00,757 ERROR: Encountered non-finite generator loss at iter 18976; skipping update. +2025-11-04 13:05:00,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:00,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:00,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.04, mean=0.06103, std=3.151, absmax=15.04 +2025-11-04 13:05:00,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=14.26, mean=0.0405, std=2.925, absmax=14.26 +2025-11-04 13:05:01,117 ERROR: Encountered non-finite generator loss at iter 18977; skipping update. +2025-11-04 13:05:01,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:01,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=17.5, mean=-0.1832, std=2.862, absmax=17.5 +2025-11-04 13:05:01,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=14.24, mean=-0.1708, std=2.619, absmax=14.24 +2025-11-04 13:05:01,477 ERROR: Encountered non-finite generator loss at iter 18978; skipping update. +2025-11-04 13:05:01,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:01,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.62, mean=-0.3626, std=2.771, absmax=14.62 +2025-11-04 13:05:01,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.77, mean=-0.3184, std=2.599, absmax=12.95 +2025-11-04 13:05:01,837 ERROR: Encountered non-finite generator loss at iter 18979; skipping update. +2025-11-04 13:05:01,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:01,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:01,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=15.14, mean=-0.2484, std=3.057, absmax=15.14 +2025-11-04 13:05:01,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=14.81, mean=-0.2382, std=2.812, absmax=14.81 +2025-11-04 13:05:02,197 ERROR: Encountered non-finite generator loss at iter 18980; skipping update. +2025-11-04 13:05:02,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:02,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=13.74, mean=-0.1164, std=2.669, absmax=14.63 +2025-11-04 13:05:02,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=10.98, mean=-0.1127, std=2.415, absmax=10.98 +2025-11-04 13:05:02,557 ERROR: Encountered non-finite generator loss at iter 18981; skipping update. +2025-11-04 13:05:02,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:02,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.28, max=11.62, mean=-0.194, std=2.427, absmax=11.62 +2025-11-04 13:05:02,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.139, max=9.151, mean=-0.1989, std=2.19, absmax=9.151 +2025-11-04 13:05:02,917 ERROR: Encountered non-finite generator loss at iter 18982; skipping update. +2025-11-04 13:05:02,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:02,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:02,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.75, mean=-0.2248, std=3.077, absmax=12.75 +2025-11-04 13:05:02,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=11.27, mean=-0.2112, std=2.801, absmax=12.14 +2025-11-04 13:05:03,277 ERROR: Encountered non-finite generator loss at iter 18983; skipping update. +2025-11-04 13:05:03,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:03,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=15.41, mean=-0.3624, std=2.859, absmax=15.41 +2025-11-04 13:05:03,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=12.26, mean=-0.3158, std=2.71, absmax=12.26 +2025-11-04 13:05:03,637 ERROR: Encountered non-finite generator loss at iter 18984; skipping update. +2025-11-04 13:05:03,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:03,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.26, mean=-0.1956, std=2.528, absmax=12.29 +2025-11-04 13:05:03,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.44, mean=-0.1936, std=2.444, absmax=12.44 +2025-11-04 13:05:03,997 ERROR: Encountered non-finite generator loss at iter 18985; skipping update. +2025-11-04 13:05:03,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:03,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:04,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:04,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.35, mean=-0.2044, std=2.608, absmax=12.64 +2025-11-04 13:05:04,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=9.582, mean=-0.1853, std=2.422, absmax=12.15 +2025-11-04 13:05:04,357 ERROR: Encountered non-finite generator loss at iter 18986; skipping update. +2025-11-04 13:05:04,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:04,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:04,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:04,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:04,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=14.25, mean=-0.167, std=3.228, absmax=14.36 +2025-11-04 13:05:04,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=10.68, mean=-0.1188, std=3.023, absmax=13.46 +2025-11-04 13:05:04,718 ERROR: Encountered non-finite generator loss at iter 18987; skipping update. +2025-11-04 13:05:04,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:04,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:04,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:04,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:04,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=20.02, mean=0.03957, std=3.432, absmax=20.02 +2025-11-04 13:05:04,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.34, max=18.4, mean=0.02969, std=3.14, absmax=18.4 +2025-11-04 13:05:05,078 ERROR: Encountered non-finite generator loss at iter 18988; skipping update. +2025-11-04 13:05:05,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:05,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=14.06, mean=0.05076, std=3.151, absmax=14.06 +2025-11-04 13:05:05,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=13.13, mean=0.06064, std=2.983, absmax=13.13 +2025-11-04 13:05:05,438 ERROR: Encountered non-finite generator loss at iter 18989; skipping update. +2025-11-04 13:05:05,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:05,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.5, max=14.35, mean=-0.165, std=3.108, absmax=18.5 +2025-11-04 13:05:05,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.71, max=12.68, mean=-0.1631, std=2.927, absmax=16.71 +2025-11-04 13:05:05,798 ERROR: Encountered non-finite generator loss at iter 18990; skipping update. +2025-11-04 13:05:05,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:05,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:05,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=10.76, mean=-0.1649, std=3.195, absmax=14.69 +2025-11-04 13:05:05,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=10.87, mean=-0.136, std=2.963, absmax=13.4 +2025-11-04 13:05:06,158 ERROR: Encountered non-finite generator loss at iter 18991; skipping update. +2025-11-04 13:05:06,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:06,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=14.02, mean=-0.1424, std=3.028, absmax=14.43 +2025-11-04 13:05:06,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.69, mean=-0.1293, std=2.795, absmax=11.91 +2025-11-04 13:05:06,517 ERROR: Encountered non-finite generator loss at iter 18992; skipping update. +2025-11-04 13:05:06,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:06,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=15.69, mean=0.03479, std=2.99, absmax=15.69 +2025-11-04 13:05:06,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=13.23, mean=0.008052, std=2.748, absmax=13.23 +2025-11-04 13:05:06,877 ERROR: Encountered non-finite generator loss at iter 18993; skipping update. +2025-11-04 13:05:06,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:06,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:06,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.31, mean=-0.3703, std=2.884, absmax=13.31 +2025-11-04 13:05:06,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=11.2, mean=-0.3604, std=2.763, absmax=11.23 +2025-11-04 13:05:07,237 ERROR: Encountered non-finite generator loss at iter 18994; skipping update. +2025-11-04 13:05:07,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:07,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=14.91, mean=-0.2749, std=3.107, absmax=14.91 +2025-11-04 13:05:07,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=11.9, mean=-0.265, std=2.857, absmax=11.9 +2025-11-04 13:05:07,597 ERROR: Encountered non-finite generator loss at iter 18995; skipping update. +2025-11-04 13:05:07,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:07,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=16.75, mean=-0.1311, std=3.095, absmax=16.75 +2025-11-04 13:05:07,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=14.05, mean=-0.09624, std=2.789, absmax=14.05 +2025-11-04 13:05:07,956 ERROR: Encountered non-finite generator loss at iter 18996; skipping update. +2025-11-04 13:05:07,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:07,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:07,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.49, mean=-0.311, std=3.069, absmax=12.49 +2025-11-04 13:05:07,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=10.83, mean=-0.2822, std=2.754, absmax=12.39 +2025-11-04 13:05:08,316 ERROR: Encountered non-finite generator loss at iter 18997; skipping update. +2025-11-04 13:05:08,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:08,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:08,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:08,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:08,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.66, mean=0.04501, std=3.247, absmax=13.66 +2025-11-04 13:05:08,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.11, mean=0.02145, std=3.069, absmax=12.11 +2025-11-04 13:05:08,676 ERROR: Encountered non-finite generator loss at iter 18998; skipping update. +2025-11-04 13:05:08,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:08,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:08,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:08,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:08,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.87, mean=-0.1153, std=2.795, absmax=12.52 +2025-11-04 13:05:08,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=9.673, mean=-0.1032, std=2.583, absmax=11.53 +2025-11-04 13:05:09,036 ERROR: Encountered non-finite generator loss at iter 18999; skipping update. +2025-11-04 13:05:09,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:09,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.82, mean=0.01201, std=3.54, absmax=13.82 +2025-11-04 13:05:09,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=13.59, mean=-0.009349, std=3.283, absmax=13.59 +2025-11-04 13:05:09,396 ERROR: Encountered non-finite generator loss at iter 19000; skipping update. +2025-11-04 13:05:09,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:09,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.95, mean=-0.1454, std=3.052, absmax=13.95 +2025-11-04 13:05:09,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=11.22, mean=-0.1381, std=2.757, absmax=13.07 +2025-11-04 13:05:09,400 INFO: [38..][epoch: 0, step: 19,000, lr:(2.000e-04,)] [eta: 1 day, 10:01:21, time (data): 0.360 (0.000)] +2025-11-04 13:05:09,757 ERROR: Encountered non-finite generator loss at iter 19001; skipping update. +2025-11-04 13:05:09,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:09,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:09,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=15.09, mean=-0.01316, std=3.289, absmax=15.09 +2025-11-04 13:05:09,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=13.94, mean=0.00213, std=3.089, absmax=13.94 +2025-11-04 13:05:10,117 ERROR: Encountered non-finite generator loss at iter 19002; skipping update. +2025-11-04 13:05:10,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:10,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=17.29, mean=-0.1144, std=2.889, absmax=17.29 +2025-11-04 13:05:10,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=14.87, mean=-0.1194, std=2.69, absmax=14.87 +2025-11-04 13:05:10,477 ERROR: Encountered non-finite generator loss at iter 19003; skipping update. +2025-11-04 13:05:10,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:10,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=16.07, mean=0.022, std=3.588, absmax=16.07 +2025-11-04 13:05:10,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=15.1, mean=0.004925, std=3.376, absmax=15.1 +2025-11-04 13:05:10,837 ERROR: Encountered non-finite generator loss at iter 19004; skipping update. +2025-11-04 13:05:10,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:10,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:10,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.71, mean=-0.2228, std=3.146, absmax=12.71 +2025-11-04 13:05:10,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=10.44, mean=-0.2098, std=2.819, absmax=11.32 +2025-11-04 13:05:11,197 ERROR: Encountered non-finite generator loss at iter 19005; skipping update. +2025-11-04 13:05:11,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:11,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.66, mean=0.1152, std=3.248, absmax=13.66 +2025-11-04 13:05:11,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=11.74, mean=0.0929, std=2.977, absmax=12.64 +2025-11-04 13:05:11,556 ERROR: Encountered non-finite generator loss at iter 19006; skipping update. +2025-11-04 13:05:11,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:11,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.49, max=12.67, mean=-0.2478, std=2.605, absmax=16.49 +2025-11-04 13:05:11,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=11.57, mean=-0.2667, std=2.436, absmax=12.9 +2025-11-04 13:05:11,917 ERROR: Encountered non-finite generator loss at iter 19007; skipping update. +2025-11-04 13:05:11,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:11,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:11,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.33, mean=-0.2707, std=3.021, absmax=12.78 +2025-11-04 13:05:11,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=10.67, mean=-0.2568, std=2.802, absmax=10.97 +2025-11-04 13:05:12,276 ERROR: Encountered non-finite generator loss at iter 19008; skipping update. +2025-11-04 13:05:12,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:12,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.25, max=13.18, mean=-0.07065, std=2.937, absmax=16.25 +2025-11-04 13:05:12,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.48, max=12.01, mean=-0.06539, std=2.681, absmax=14.48 +2025-11-04 13:05:12,636 ERROR: Encountered non-finite generator loss at iter 19009; skipping update. +2025-11-04 13:05:12,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:12,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=10.17, mean=-0.1628, std=2.866, absmax=11.82 +2025-11-04 13:05:12,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=9.679, mean=-0.1171, std=2.714, absmax=10.82 +2025-11-04 13:05:12,996 ERROR: Encountered non-finite generator loss at iter 19010; skipping update. +2025-11-04 13:05:12,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:12,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:12,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.91, mean=-0.1749, std=2.502, absmax=12.91 +2025-11-04 13:05:13,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.64, mean=-0.1678, std=2.373, absmax=11.83 +2025-11-04 13:05:13,357 ERROR: Encountered non-finite generator loss at iter 19011; skipping update. +2025-11-04 13:05:13,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:13,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:13,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:13,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:13,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.13, mean=-0.09322, std=2.698, absmax=12.13 +2025-11-04 13:05:13,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=11.23, mean=-0.06977, std=2.486, absmax=11.23 +2025-11-04 13:05:13,717 ERROR: Encountered non-finite generator loss at iter 19012; skipping update. +2025-11-04 13:05:13,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:13,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:13,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:13,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:13,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.65, mean=-0.2591, std=3.124, absmax=13.65 +2025-11-04 13:05:13,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=13.62, mean=-0.2378, std=2.87, absmax=13.62 +2025-11-04 13:05:14,076 ERROR: Encountered non-finite generator loss at iter 19013; skipping update. +2025-11-04 13:05:14,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:14,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=10.44, mean=-0.236, std=3.12, absmax=13.97 +2025-11-04 13:05:14,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=9.009, mean=-0.2313, std=2.829, absmax=12.04 +2025-11-04 13:05:14,436 ERROR: Encountered non-finite generator loss at iter 19014; skipping update. +2025-11-04 13:05:14,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:14,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=13.28, mean=-0.1314, std=2.716, absmax=13.28 +2025-11-04 13:05:14,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=12.09, mean=-0.09816, std=2.481, absmax=12.09 +2025-11-04 13:05:14,796 ERROR: Encountered non-finite generator loss at iter 19015; skipping update. +2025-11-04 13:05:14,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:14,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:14,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=17.66, mean=-0.05373, std=3.252, absmax=17.66 +2025-11-04 13:05:14,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=16.41, mean=-0.03435, std=2.944, absmax=16.41 +2025-11-04 13:05:15,157 ERROR: Encountered non-finite generator loss at iter 19016; skipping update. +2025-11-04 13:05:15,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:15,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.36, mean=-0.06986, std=3.183, absmax=14.36 +2025-11-04 13:05:15,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=12.7, mean=-0.0397, std=2.926, absmax=12.7 +2025-11-04 13:05:15,517 ERROR: Encountered non-finite generator loss at iter 19017; skipping update. +2025-11-04 13:05:15,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:15,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=12.41, mean=-0.1174, std=3.556, absmax=15.01 +2025-11-04 13:05:15,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.93, max=12.2, mean=-0.09957, std=3.453, absmax=14.93 +2025-11-04 13:05:15,877 ERROR: Encountered non-finite generator loss at iter 19018; skipping update. +2025-11-04 13:05:15,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:15,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:15,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.2, mean=-0.1438, std=2.794, absmax=12.54 +2025-11-04 13:05:15,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=11.55, mean=-0.1388, std=2.602, absmax=11.55 +2025-11-04 13:05:16,237 ERROR: Encountered non-finite generator loss at iter 19019; skipping update. +2025-11-04 13:05:16,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:16,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.23, mean=-0.1063, std=3.111, absmax=13.23 +2025-11-04 13:05:16,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=12.3, mean=-0.07984, std=2.923, absmax=12.68 +2025-11-04 13:05:16,598 ERROR: Encountered non-finite generator loss at iter 19020; skipping update. +2025-11-04 13:05:16,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:16,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.761, max=11.05, mean=-0.1341, std=2.443, absmax=11.05 +2025-11-04 13:05:16,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=10.1, mean=-0.1103, std=2.441, absmax=10.32 +2025-11-04 13:05:16,958 ERROR: Encountered non-finite generator loss at iter 19021; skipping update. +2025-11-04 13:05:16,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:16,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:16,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=10.89, mean=-0.3311, std=3.015, absmax=13.04 +2025-11-04 13:05:16,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=9.737, mean=-0.3116, std=2.806, absmax=11.83 +2025-11-04 13:05:17,319 ERROR: Encountered non-finite generator loss at iter 19022; skipping update. +2025-11-04 13:05:17,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:17,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:17,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:17,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:17,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=16.15, mean=-0.1224, std=2.923, absmax=16.15 +2025-11-04 13:05:17,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=14.44, mean=-0.1069, std=2.711, absmax=14.44 +2025-11-04 13:05:17,679 ERROR: Encountered non-finite generator loss at iter 19023; skipping update. +2025-11-04 13:05:17,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:17,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:17,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:17,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:17,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=15.17, mean=-0.04294, std=2.996, absmax=15.17 +2025-11-04 13:05:17,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=13.83, mean=-0.01508, std=2.736, absmax=13.83 +2025-11-04 13:05:18,038 ERROR: Encountered non-finite generator loss at iter 19024; skipping update. +2025-11-04 13:05:18,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:18,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.65, mean=-0.02257, std=2.779, absmax=13.69 +2025-11-04 13:05:18,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=10.36, mean=-0.004548, std=2.605, absmax=12.36 +2025-11-04 13:05:18,397 ERROR: Encountered non-finite generator loss at iter 19025; skipping update. +2025-11-04 13:05:18,398 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,399 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:18,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.22, mean=-0.08844, std=2.786, absmax=13.22 +2025-11-04 13:05:18,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=11.36, mean=-0.1353, std=2.538, absmax=11.36 +2025-11-04 13:05:18,759 ERROR: Encountered non-finite generator loss at iter 19026; skipping update. +2025-11-04 13:05:18,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:18,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:18,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=16.45, mean=0.1197, std=3.321, absmax=16.45 +2025-11-04 13:05:18,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=13.46, mean=0.1122, std=3.092, absmax=13.46 +2025-11-04 13:05:19,119 ERROR: Encountered non-finite generator loss at iter 19027; skipping update. +2025-11-04 13:05:19,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:19,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=12.53, mean=-0.2458, std=3.106, absmax=14.58 +2025-11-04 13:05:19,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.68, mean=-0.2482, std=2.886, absmax=12.52 +2025-11-04 13:05:19,478 ERROR: Encountered non-finite generator loss at iter 19028; skipping update. +2025-11-04 13:05:19,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:19,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=13.53, mean=-0.2245, std=3.114, absmax=14.31 +2025-11-04 13:05:19,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.96, max=10.39, mean=-0.2082, std=2.852, absmax=13.96 +2025-11-04 13:05:19,838 ERROR: Encountered non-finite generator loss at iter 19029; skipping update. +2025-11-04 13:05:19,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:19,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:19,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=10.08, mean=-0.3475, std=2.562, absmax=13.48 +2025-11-04 13:05:19,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=9.712, mean=-0.2946, std=2.477, absmax=11.6 +2025-11-04 13:05:20,198 ERROR: Encountered non-finite generator loss at iter 19030; skipping update. +2025-11-04 13:05:20,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:20,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.35, mean=-0.3217, std=3.619, absmax=14.35 +2025-11-04 13:05:20,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=13.08, mean=-0.301, std=3.398, absmax=13.08 +2025-11-04 13:05:20,557 ERROR: Encountered non-finite generator loss at iter 19031; skipping update. +2025-11-04 13:05:20,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:20,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=15.26, mean=-0.1262, std=3.1, absmax=15.26 +2025-11-04 13:05:20,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.963, max=10.6, mean=-0.1572, std=2.853, absmax=10.6 +2025-11-04 13:05:20,917 ERROR: Encountered non-finite generator loss at iter 19032; skipping update. +2025-11-04 13:05:20,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:20,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:20,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.46, mean=-0.1832, std=2.918, absmax=12.07 +2025-11-04 13:05:20,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.43, mean=-0.1262, std=2.809, absmax=12.43 +2025-11-04 13:05:21,277 ERROR: Encountered non-finite generator loss at iter 19033; skipping update. +2025-11-04 13:05:21,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:21,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=11.99, mean=-0.2638, std=2.807, absmax=14.79 +2025-11-04 13:05:21,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=13.56, mean=-0.2334, std=2.724, absmax=13.56 +2025-11-04 13:05:21,637 ERROR: Encountered non-finite generator loss at iter 19034; skipping update. +2025-11-04 13:05:21,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:21,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=11.74, mean=-0.3168, std=2.967, absmax=13.66 +2025-11-04 13:05:21,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=11.29, mean=-0.2735, std=2.794, absmax=11.87 +2025-11-04 13:05:21,997 ERROR: Encountered non-finite generator loss at iter 19035; skipping update. +2025-11-04 13:05:21,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:21,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:22,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.14, mean=-0.1137, std=3.289, absmax=13.14 +2025-11-04 13:05:22,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.67, mean=-0.08309, std=3.088, absmax=12.67 +2025-11-04 13:05:22,357 ERROR: Encountered non-finite generator loss at iter 19036; skipping update. +2025-11-04 13:05:22,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:22,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:22,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:22,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:22,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=14.75, mean=-0.1526, std=3.315, absmax=14.75 +2025-11-04 13:05:22,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=14.81, mean=-0.1343, std=3.099, absmax=14.81 +2025-11-04 13:05:22,717 ERROR: Encountered non-finite generator loss at iter 19037; skipping update. +2025-11-04 13:05:22,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:22,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:22,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:22,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:22,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=11.16, mean=-0.2858, std=3.013, absmax=13.96 +2025-11-04 13:05:22,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=10.35, mean=-0.2766, std=2.901, absmax=12.78 +2025-11-04 13:05:23,077 ERROR: Encountered non-finite generator loss at iter 19038; skipping update. +2025-11-04 13:05:23,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:23,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.59, mean=-0.03644, std=3.604, absmax=14.59 +2025-11-04 13:05:23,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=14.31, mean=-0.02108, std=3.406, absmax=14.31 +2025-11-04 13:05:23,437 ERROR: Encountered non-finite generator loss at iter 19039; skipping update. +2025-11-04 13:05:23,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:23,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.54, mean=-0.1304, std=2.779, absmax=13.54 +2025-11-04 13:05:23,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=13.02, mean=-0.09857, std=2.637, absmax=13.02 +2025-11-04 13:05:23,796 ERROR: Encountered non-finite generator loss at iter 19040; skipping update. +2025-11-04 13:05:23,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:23,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:23,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=15.16, mean=-0.01391, std=3.423, absmax=15.16 +2025-11-04 13:05:23,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=15.04, mean=0.04102, std=3.304, absmax=15.04 +2025-11-04 13:05:24,156 ERROR: Encountered non-finite generator loss at iter 19041; skipping update. +2025-11-04 13:05:24,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:24,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.21, mean=-0.1922, std=2.619, absmax=11.74 +2025-11-04 13:05:24,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=9.614, mean=-0.1867, std=2.358, absmax=11.01 +2025-11-04 13:05:24,516 ERROR: Encountered non-finite generator loss at iter 19042; skipping update. +2025-11-04 13:05:24,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:24,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.63, mean=-0.1466, std=2.997, absmax=13.63 +2025-11-04 13:05:24,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.9, mean=-0.1209, std=2.75, absmax=11.9 +2025-11-04 13:05:24,876 ERROR: Encountered non-finite generator loss at iter 19043; skipping update. +2025-11-04 13:05:24,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:24,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:24,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=15.39, mean=-0.1505, std=2.811, absmax=15.39 +2025-11-04 13:05:24,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.852, max=12, mean=-0.1546, std=2.543, absmax=12 +2025-11-04 13:05:25,237 ERROR: Encountered non-finite generator loss at iter 19044; skipping update. +2025-11-04 13:05:25,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:25,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=10.95, mean=-0.1985, std=2.553, absmax=11.45 +2025-11-04 13:05:25,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=10.09, mean=-0.18, std=2.481, absmax=12.33 +2025-11-04 13:05:25,597 ERROR: Encountered non-finite generator loss at iter 19045; skipping update. +2025-11-04 13:05:25,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:25,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.18, mean=0.05587, std=3.481, absmax=13.18 +2025-11-04 13:05:25,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.91, mean=0.05833, std=3.217, absmax=12.91 +2025-11-04 13:05:25,957 ERROR: Encountered non-finite generator loss at iter 19046; skipping update. +2025-11-04 13:05:25,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:25,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:25,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.72, mean=-0.08033, std=2.89, absmax=12.72 +2025-11-04 13:05:25,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=12.22, mean=-0.04346, std=2.774, absmax=12.22 +2025-11-04 13:05:26,317 ERROR: Encountered non-finite generator loss at iter 19047; skipping update. +2025-11-04 13:05:26,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:26,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:26,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:26,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:26,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=15.35, mean=-0.128, std=3.35, absmax=15.35 +2025-11-04 13:05:26,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=13.4, mean=-0.1139, std=3.03, absmax=13.4 +2025-11-04 13:05:26,676 ERROR: Encountered non-finite generator loss at iter 19048; skipping update. +2025-11-04 13:05:26,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:26,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:26,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:26,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:26,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=10.3, mean=-0.2197, std=2.53, absmax=12.55 +2025-11-04 13:05:26,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=10.49, mean=-0.2613, std=2.424, absmax=10.49 +2025-11-04 13:05:27,037 ERROR: Encountered non-finite generator loss at iter 19049; skipping update. +2025-11-04 13:05:27,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:27,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.25, mean=-0.3423, std=3.482, absmax=13.82 +2025-11-04 13:05:27,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.36, mean=-0.3452, std=3.203, absmax=12.5 +2025-11-04 13:05:27,397 ERROR: Encountered non-finite generator loss at iter 19050; skipping update. +2025-11-04 13:05:27,398 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,399 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:27,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=11.91, mean=-0.1462, std=3.341, absmax=14.1 +2025-11-04 13:05:27,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=10.71, mean=-0.13, std=3.08, absmax=13.15 +2025-11-04 13:05:27,757 ERROR: Encountered non-finite generator loss at iter 19051; skipping update. +2025-11-04 13:05:27,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:27,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:27,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.51, max=11.67, mean=-0.06458, std=2.583, absmax=11.67 +2025-11-04 13:05:27,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.186, max=9.785, mean=-0.01396, std=2.437, absmax=9.785 +2025-11-04 13:05:28,118 ERROR: Encountered non-finite generator loss at iter 19052; skipping update. +2025-11-04 13:05:28,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:28,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.29, mean=-0.3234, std=3.152, absmax=13.29 +2025-11-04 13:05:28,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.69, mean=-0.2836, std=2.886, absmax=11.86 +2025-11-04 13:05:28,477 ERROR: Encountered non-finite generator loss at iter 19053; skipping update. +2025-11-04 13:05:28,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:28,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.42, mean=-0.1659, std=2.873, absmax=12.65 +2025-11-04 13:05:28,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.95, mean=-0.1583, std=2.692, absmax=12.58 +2025-11-04 13:05:28,838 ERROR: Encountered non-finite generator loss at iter 19054; skipping update. +2025-11-04 13:05:28,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:28,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:28,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.46, mean=-0.3719, std=3.191, absmax=13.54 +2025-11-04 13:05:28,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=11.23, mean=-0.3511, std=2.98, absmax=12.66 +2025-11-04 13:05:29,198 ERROR: Encountered non-finite generator loss at iter 19055; skipping update. +2025-11-04 13:05:29,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:29,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=12.32, mean=-0.3284, std=3.484, absmax=14.5 +2025-11-04 13:05:29,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.29, max=11.58, mean=-0.3238, std=3.267, absmax=14.29 +2025-11-04 13:05:29,558 ERROR: Encountered non-finite generator loss at iter 19056; skipping update. +2025-11-04 13:05:29,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:29,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=14, mean=0.1013, std=3.055, absmax=14 +2025-11-04 13:05:29,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.151, max=12.59, mean=0.08561, std=2.788, absmax=12.59 +2025-11-04 13:05:29,918 ERROR: Encountered non-finite generator loss at iter 19057; skipping update. +2025-11-04 13:05:29,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:29,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:29,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=12.1, mean=-0.1676, std=2.503, absmax=12.1 +2025-11-04 13:05:29,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.753, max=11.13, mean=-0.197, std=2.296, absmax=11.13 +2025-11-04 13:05:30,278 ERROR: Encountered non-finite generator loss at iter 19058; skipping update. +2025-11-04 13:05:30,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:30,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=10.85, mean=0.02039, std=2.628, absmax=11.5 +2025-11-04 13:05:30,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.556, max=9.396, mean=0.01186, std=2.385, absmax=9.556 +2025-11-04 13:05:30,637 ERROR: Encountered non-finite generator loss at iter 19059; skipping update. +2025-11-04 13:05:30,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:30,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=13.28, mean=-0.03807, std=2.738, absmax=13.28 +2025-11-04 13:05:30,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.85, mean=-0.05944, std=2.536, absmax=11.85 +2025-11-04 13:05:30,997 ERROR: Encountered non-finite generator loss at iter 19060; skipping update. +2025-11-04 13:05:30,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:30,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:31,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.58, max=14.02, mean=-0.1891, std=3.308, absmax=15.58 +2025-11-04 13:05:31,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=12.29, mean=-0.2151, std=3.126, absmax=13.37 +2025-11-04 13:05:31,357 ERROR: Encountered non-finite generator loss at iter 19061; skipping update. +2025-11-04 13:05:31,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:31,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:31,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:31,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:31,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.53, mean=-0.06613, std=3.059, absmax=13.53 +2025-11-04 13:05:31,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.42, mean=-0.07606, std=2.858, absmax=12.42 +2025-11-04 13:05:31,717 ERROR: Encountered non-finite generator loss at iter 19062; skipping update. +2025-11-04 13:05:31,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:31,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:31,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:31,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:31,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.45, mean=-0.1559, std=2.882, absmax=12.45 +2025-11-04 13:05:31,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.22, max=10.99, mean=-0.1557, std=2.729, absmax=10.99 +2025-11-04 13:05:32,077 ERROR: Encountered non-finite generator loss at iter 19063; skipping update. +2025-11-04 13:05:32,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:32,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=11.92, mean=-0.245, std=2.991, absmax=14.07 +2025-11-04 13:05:32,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.43, mean=-0.209, std=2.738, absmax=12.42 +2025-11-04 13:05:32,437 ERROR: Encountered non-finite generator loss at iter 19064; skipping update. +2025-11-04 13:05:32,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:32,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=13.18, mean=-0.229, std=2.99, absmax=14.49 +2025-11-04 13:05:32,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.63, mean=-0.1912, std=2.704, absmax=11.39 +2025-11-04 13:05:32,797 ERROR: Encountered non-finite generator loss at iter 19065; skipping update. +2025-11-04 13:05:32,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:32,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:32,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.65, mean=0.2089, std=3.61, absmax=13.65 +2025-11-04 13:05:32,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.48, mean=0.2245, std=3.405, absmax=12.48 +2025-11-04 13:05:33,157 ERROR: Encountered non-finite generator loss at iter 19066; skipping update. +2025-11-04 13:05:33,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:33,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.1, mean=-0.01477, std=2.961, absmax=13.79 +2025-11-04 13:05:33,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=9.608, mean=-0.04611, std=2.691, absmax=11.79 +2025-11-04 13:05:33,518 ERROR: Encountered non-finite generator loss at iter 19067; skipping update. +2025-11-04 13:05:33,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:33,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.99, mean=0.01163, std=2.905, absmax=13.21 +2025-11-04 13:05:33,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.7, mean=0.007564, std=2.579, absmax=11.7 +2025-11-04 13:05:33,877 ERROR: Encountered non-finite generator loss at iter 19068; skipping update. +2025-11-04 13:05:33,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:33,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:33,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=13.67, mean=0.07139, std=3.292, absmax=13.67 +2025-11-04 13:05:33,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=13.31, mean=0.1116, std=3.223, absmax=13.31 +2025-11-04 13:05:34,237 ERROR: Encountered non-finite generator loss at iter 19069; skipping update. +2025-11-04 13:05:34,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:34,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.46, mean=-0.109, std=2.713, absmax=12.86 +2025-11-04 13:05:34,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.925, max=9.613, mean=-0.09297, std=2.497, absmax=9.925 +2025-11-04 13:05:34,598 ERROR: Encountered non-finite generator loss at iter 19070; skipping update. +2025-11-04 13:05:34,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:34,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.78, mean=-0.1779, std=3.608, absmax=14.78 +2025-11-04 13:05:34,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=14.17, mean=-0.1864, std=3.322, absmax=14.17 +2025-11-04 13:05:34,958 ERROR: Encountered non-finite generator loss at iter 19071; skipping update. +2025-11-04 13:05:34,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:34,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:34,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=13.24, mean=-0.3551, std=2.661, absmax=13.24 +2025-11-04 13:05:34,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=12.13, mean=-0.3978, std=2.603, absmax=12.13 +2025-11-04 13:05:35,318 ERROR: Encountered non-finite generator loss at iter 19072; skipping update. +2025-11-04 13:05:35,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:35,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:35,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:35,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:35,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=12.44, mean=-0.2046, std=3.097, absmax=13.64 +2025-11-04 13:05:35,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=10.55, mean=-0.1785, std=2.919, absmax=12.53 +2025-11-04 13:05:35,678 ERROR: Encountered non-finite generator loss at iter 19073; skipping update. +2025-11-04 13:05:35,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:35,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:35,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:35,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:35,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.28, mean=-0.03926, std=3.039, absmax=13.44 +2025-11-04 13:05:35,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=12.98, mean=-0.05828, std=2.807, absmax=12.98 +2025-11-04 13:05:36,039 ERROR: Encountered non-finite generator loss at iter 19074; skipping update. +2025-11-04 13:05:36,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:36,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=12.74, mean=-0.179, std=3.44, absmax=14.81 +2025-11-04 13:05:36,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=12.29, mean=-0.1687, std=3.13, absmax=13.18 +2025-11-04 13:05:36,398 ERROR: Encountered non-finite generator loss at iter 19075; skipping update. +2025-11-04 13:05:36,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:36,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=11.33, mean=-0.219, std=3.061, absmax=12.94 +2025-11-04 13:05:36,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.32, max=9.568, mean=-0.2331, std=2.766, absmax=13.32 +2025-11-04 13:05:36,759 ERROR: Encountered non-finite generator loss at iter 19076; skipping update. +2025-11-04 13:05:36,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:36,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:36,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=12.91, mean=-0.1729, std=3.359, absmax=14.25 +2025-11-04 13:05:36,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=12.2, mean=-0.1549, std=3.115, absmax=12.5 +2025-11-04 13:05:37,119 ERROR: Encountered non-finite generator loss at iter 19077; skipping update. +2025-11-04 13:05:37,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:37,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.66, mean=-0.2688, std=3.605, absmax=14.66 +2025-11-04 13:05:37,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=12.71, mean=-0.2422, std=3.478, absmax=13.3 +2025-11-04 13:05:37,478 ERROR: Encountered non-finite generator loss at iter 19078; skipping update. +2025-11-04 13:05:37,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:37,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.78, mean=-0.05576, std=2.568, absmax=12.78 +2025-11-04 13:05:37,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.366, max=11.58, mean=-0.101, std=2.391, absmax=11.58 +2025-11-04 13:05:37,838 ERROR: Encountered non-finite generator loss at iter 19079; skipping update. +2025-11-04 13:05:37,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:37,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:37,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=18.59, mean=-0.2074, std=3.491, absmax=18.59 +2025-11-04 13:05:37,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.29, max=17.01, mean=-0.2014, std=3.213, absmax=17.01 +2025-11-04 13:05:38,198 ERROR: Encountered non-finite generator loss at iter 19080; skipping update. +2025-11-04 13:05:38,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:38,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.08, mean=-0.229, std=2.67, absmax=13.08 +2025-11-04 13:05:38,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=11.63, mean=-0.2002, std=2.448, absmax=11.63 +2025-11-04 13:05:38,558 ERROR: Encountered non-finite generator loss at iter 19081; skipping update. +2025-11-04 13:05:38,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:38,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.99, mean=-0.3597, std=3.305, absmax=14.1 +2025-11-04 13:05:38,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=12.38, mean=-0.3422, std=3.029, absmax=13.31 +2025-11-04 13:05:38,918 ERROR: Encountered non-finite generator loss at iter 19082; skipping update. +2025-11-04 13:05:38,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:38,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:38,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.7, mean=-0.1702, std=2.98, absmax=12.87 +2025-11-04 13:05:38,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.37, mean=-0.2123, std=2.68, absmax=11.37 +2025-11-04 13:05:39,277 ERROR: Encountered non-finite generator loss at iter 19083; skipping update. +2025-11-04 13:05:39,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:39,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.53, mean=-0.2192, std=2.86, absmax=15.53 +2025-11-04 13:05:39,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=14.81, mean=-0.2309, std=2.713, absmax=14.81 +2025-11-04 13:05:39,638 ERROR: Encountered non-finite generator loss at iter 19084; skipping update. +2025-11-04 13:05:39,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:39,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.01, mean=-0.2279, std=3.033, absmax=13.45 +2025-11-04 13:05:39,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.85, mean=-0.1928, std=2.779, absmax=11.86 +2025-11-04 13:05:39,997 ERROR: Encountered non-finite generator loss at iter 19085; skipping update. +2025-11-04 13:05:39,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:39,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:40,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:40,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=10.74, mean=-0.202, std=2.962, absmax=13.85 +2025-11-04 13:05:40,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=9.571, mean=-0.2242, std=2.749, absmax=12.85 +2025-11-04 13:05:40,357 ERROR: Encountered non-finite generator loss at iter 19086; skipping update. +2025-11-04 13:05:40,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:40,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:40,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:40,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:40,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=15.94, mean=-0.1064, std=3.166, absmax=15.94 +2025-11-04 13:05:40,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=13.46, mean=-0.1124, std=2.945, absmax=13.46 +2025-11-04 13:05:40,718 ERROR: Encountered non-finite generator loss at iter 19087; skipping update. +2025-11-04 13:05:40,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:40,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:40,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:40,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:40,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.84, mean=-0.03223, std=3.446, absmax=14.09 +2025-11-04 13:05:40,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=12.36, mean=-0.02112, std=3.163, absmax=12.64 +2025-11-04 13:05:41,078 ERROR: Encountered non-finite generator loss at iter 19088; skipping update. +2025-11-04 13:05:41,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:41,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.67, mean=-0.1964, std=3.343, absmax=13.67 +2025-11-04 13:05:41,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.89, mean=-0.147, std=3.273, absmax=12.89 +2025-11-04 13:05:41,438 ERROR: Encountered non-finite generator loss at iter 19089; skipping update. +2025-11-04 13:05:41,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:41,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.55, mean=-0.1306, std=2.827, absmax=12.08 +2025-11-04 13:05:41,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=11.25, mean=-0.1084, std=2.727, absmax=11.51 +2025-11-04 13:05:41,798 ERROR: Encountered non-finite generator loss at iter 19090; skipping update. +2025-11-04 13:05:41,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:41,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:41,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.47, mean=-0.2051, std=2.734, absmax=12.3 +2025-11-04 13:05:41,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.558, mean=-0.2051, std=2.598, absmax=11.27 +2025-11-04 13:05:42,158 ERROR: Encountered non-finite generator loss at iter 19091; skipping update. +2025-11-04 13:05:42,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:42,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.43, mean=-0.1138, std=3.307, absmax=14.43 +2025-11-04 13:05:42,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=13.13, mean=-0.1129, std=3.084, absmax=13.13 +2025-11-04 13:05:42,518 ERROR: Encountered non-finite generator loss at iter 19092; skipping update. +2025-11-04 13:05:42,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:42,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=10.35, mean=-0.2817, std=3.025, absmax=13.57 +2025-11-04 13:05:42,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.86, mean=-0.251, std=2.809, absmax=11.31 +2025-11-04 13:05:42,878 ERROR: Encountered non-finite generator loss at iter 19093; skipping update. +2025-11-04 13:05:42,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:42,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:42,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.36, mean=-0.2005, std=3.152, absmax=14.17 +2025-11-04 13:05:42,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=12.63, mean=-0.1674, std=2.966, absmax=12.63 +2025-11-04 13:05:43,238 ERROR: Encountered non-finite generator loss at iter 19094; skipping update. +2025-11-04 13:05:43,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:43,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=16.05, mean=-0.2956, std=3.207, absmax=16.05 +2025-11-04 13:05:43,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=13.65, mean=-0.2399, std=2.956, absmax=13.65 +2025-11-04 13:05:43,597 ERROR: Encountered non-finite generator loss at iter 19095; skipping update. +2025-11-04 13:05:43,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:43,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=16.13, mean=-0.278, std=3.017, absmax=16.13 +2025-11-04 13:05:43,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=14.06, mean=-0.2567, std=2.829, absmax=14.06 +2025-11-04 13:05:43,958 ERROR: Encountered non-finite generator loss at iter 19096; skipping update. +2025-11-04 13:05:43,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:43,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:43,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.83, mean=-0.2499, std=2.727, absmax=12.95 +2025-11-04 13:05:43,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.51, mean=-0.2464, std=2.508, absmax=11.14 +2025-11-04 13:05:44,317 ERROR: Encountered non-finite generator loss at iter 19097; skipping update. +2025-11-04 13:05:44,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:44,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:44,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:44,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:44,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.73, mean=-0.2022, std=3.574, absmax=14.73 +2025-11-04 13:05:44,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.44, max=12.53, mean=-0.224, std=3.219, absmax=13.44 +2025-11-04 13:05:44,678 ERROR: Encountered non-finite generator loss at iter 19098; skipping update. +2025-11-04 13:05:44,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:44,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:44,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:44,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:44,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.56, mean=-0.1452, std=3.443, absmax=14.56 +2025-11-04 13:05:44,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=13.63, mean=-0.1523, std=3.11, absmax=13.63 +2025-11-04 13:05:45,037 ERROR: Encountered non-finite generator loss at iter 19099; skipping update. +2025-11-04 13:05:45,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:45,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.09, mean=-0.276, std=2.604, absmax=12.36 +2025-11-04 13:05:45,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=9.986, mean=-0.294, std=2.452, absmax=11.29 +2025-11-04 13:05:45,398 ERROR: Encountered non-finite generator loss at iter 19100; skipping update. +2025-11-04 13:05:45,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:45,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.83, max=11.62, mean=-0.1943, std=2.812, absmax=15.83 +2025-11-04 13:05:45,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.71, max=10.26, mean=-0.1844, std=2.54, absmax=14.71 +2025-11-04 13:05:45,402 INFO: [38..][epoch: 0, step: 19,100, lr:(2.000e-04,)] [eta: 1 day, 9:52:04, time (data): 0.360 (0.000)] +2025-11-04 13:05:45,758 ERROR: Encountered non-finite generator loss at iter 19101; skipping update. +2025-11-04 13:05:45,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:45,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:45,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.14, mean=-0.1853, std=2.85, absmax=12.48 +2025-11-04 13:05:45,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=9.454, mean=-0.1705, std=2.65, absmax=12.64 +2025-11-04 13:05:46,118 ERROR: Encountered non-finite generator loss at iter 19102; skipping update. +2025-11-04 13:05:46,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:46,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=10.46, mean=-0.1858, std=2.434, absmax=11.24 +2025-11-04 13:05:46,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.555, max=9.565, mean=-0.205, std=2.291, absmax=9.565 +2025-11-04 13:05:46,478 ERROR: Encountered non-finite generator loss at iter 19103; skipping update. +2025-11-04 13:05:46,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:46,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=12.08, mean=-0.06376, std=2.729, absmax=12.08 +2025-11-04 13:05:46,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=12.15, mean=-0.002112, std=2.623, absmax=12.15 +2025-11-04 13:05:46,839 ERROR: Encountered non-finite generator loss at iter 19104; skipping update. +2025-11-04 13:05:46,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:46,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:46,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.99, mean=-0.06059, std=2.985, absmax=13.72 +2025-11-04 13:05:46,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.79, mean=-0.06736, std=2.731, absmax=11.79 +2025-11-04 13:05:47,198 ERROR: Encountered non-finite generator loss at iter 19105; skipping update. +2025-11-04 13:05:47,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:47,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.91, mean=-0.205, std=2.843, absmax=12.91 +2025-11-04 13:05:47,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=10.55, mean=-0.1848, std=2.706, absmax=11.83 +2025-11-04 13:05:47,558 ERROR: Encountered non-finite generator loss at iter 19106; skipping update. +2025-11-04 13:05:47,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:47,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.39, mean=-0.2096, std=3.218, absmax=13.03 +2025-11-04 13:05:47,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=10.47, mean=-0.1962, std=2.972, absmax=12.38 +2025-11-04 13:05:47,918 ERROR: Encountered non-finite generator loss at iter 19107; skipping update. +2025-11-04 13:05:47,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:47,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:47,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=16.64, mean=-0.3177, std=3.083, absmax=16.64 +2025-11-04 13:05:47,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.28, mean=-0.2969, std=2.885, absmax=11.54 +2025-11-04 13:05:48,278 ERROR: Encountered non-finite generator loss at iter 19108; skipping update. +2025-11-04 13:05:48,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:48,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:48,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:48,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:48,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.97, mean=-0.1643, std=3.045, absmax=12.97 +2025-11-04 13:05:48,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=13.11, mean=-0.1109, std=2.81, absmax=13.11 +2025-11-04 13:05:48,638 ERROR: Encountered non-finite generator loss at iter 19109; skipping update. +2025-11-04 13:05:48,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:48,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:48,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:48,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:48,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=10.93, mean=-0.2143, std=2.807, absmax=12.34 +2025-11-04 13:05:48,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=9.941, mean=-0.1568, std=2.638, absmax=12.17 +2025-11-04 13:05:48,998 ERROR: Encountered non-finite generator loss at iter 19110; skipping update. +2025-11-04 13:05:48,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:49,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.4, mean=-0.2031, std=2.809, absmax=13.4 +2025-11-04 13:05:49,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.41, mean=-0.2316, std=2.676, absmax=11.41 +2025-11-04 13:05:49,358 ERROR: Encountered non-finite generator loss at iter 19111; skipping update. +2025-11-04 13:05:49,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:49,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.48, max=12.45, mean=-0.02943, std=2.919, absmax=12.45 +2025-11-04 13:05:49,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.884, max=12.31, mean=-0.02663, std=2.811, absmax=12.31 +2025-11-04 13:05:49,718 ERROR: Encountered non-finite generator loss at iter 19112; skipping update. +2025-11-04 13:05:49,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:49,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:49,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.7, mean=0.08198, std=3.449, absmax=13.7 +2025-11-04 13:05:49,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.66, mean=0.1072, std=3.316, absmax=12.66 +2025-11-04 13:05:50,078 ERROR: Encountered non-finite generator loss at iter 19113; skipping update. +2025-11-04 13:05:50,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:50,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.86, mean=-0.173, std=3.509, absmax=14.86 +2025-11-04 13:05:50,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=14.52, mean=-0.1436, std=3.27, absmax=14.52 +2025-11-04 13:05:50,438 ERROR: Encountered non-finite generator loss at iter 19114; skipping update. +2025-11-04 13:05:50,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:50,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.39, mean=-0.1171, std=3.358, absmax=14.04 +2025-11-04 13:05:50,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=12.6, mean=-0.1163, std=3.121, absmax=12.82 +2025-11-04 13:05:50,798 ERROR: Encountered non-finite generator loss at iter 19115; skipping update. +2025-11-04 13:05:50,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:50,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:50,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=9.927, mean=-0.306, std=2.787, absmax=12.66 +2025-11-04 13:05:50,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=9.498, mean=-0.2578, std=2.716, absmax=13.08 +2025-11-04 13:05:51,158 ERROR: Encountered non-finite generator loss at iter 19116; skipping update. +2025-11-04 13:05:51,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:51,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=14.54, mean=-0.108, std=3.117, absmax=14.54 +2025-11-04 13:05:51,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=12.9, mean=-0.08079, std=2.989, absmax=12.9 +2025-11-04 13:05:51,518 ERROR: Encountered non-finite generator loss at iter 19117; skipping update. +2025-11-04 13:05:51,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:51,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.16, mean=-0.298, std=3.329, absmax=15.16 +2025-11-04 13:05:51,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=11.17, mean=-0.2961, std=3.086, absmax=12.23 +2025-11-04 13:05:51,878 ERROR: Encountered non-finite generator loss at iter 19118; skipping update. +2025-11-04 13:05:51,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:51,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:51,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.68, mean=-0.0868, std=3.117, absmax=13.68 +2025-11-04 13:05:51,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=13.08, mean=-0.06204, std=2.898, absmax=13.08 +2025-11-04 13:05:52,238 ERROR: Encountered non-finite generator loss at iter 19119; skipping update. +2025-11-04 13:05:52,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:52,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=10.95, mean=-0.1855, std=2.739, absmax=11.9 +2025-11-04 13:05:52,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=10.92, mean=-0.1624, std=2.649, absmax=10.92 +2025-11-04 13:05:52,598 ERROR: Encountered non-finite generator loss at iter 19120; skipping update. +2025-11-04 13:05:52,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:52,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=12.56, mean=-0.07995, std=2.95, absmax=14.24 +2025-11-04 13:05:52,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.39, mean=-0.08909, std=2.865, absmax=11.66 +2025-11-04 13:05:52,957 ERROR: Encountered non-finite generator loss at iter 19121; skipping update. +2025-11-04 13:05:52,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:52,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:52,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=9.425, mean=-0.2846, std=2.621, absmax=11.55 +2025-11-04 13:05:52,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=9.418, mean=-0.2551, std=2.502, absmax=10 +2025-11-04 13:05:53,317 ERROR: Encountered non-finite generator loss at iter 19122; skipping update. +2025-11-04 13:05:53,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:53,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:53,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:53,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:53,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=15.19, mean=-0.03372, std=2.988, absmax=15.19 +2025-11-04 13:05:53,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=14.76, mean=-0.03434, std=2.792, absmax=14.76 +2025-11-04 13:05:53,676 ERROR: Encountered non-finite generator loss at iter 19123; skipping update. +2025-11-04 13:05:53,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:53,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:53,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:53,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:53,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.61, mean=-0.147, std=2.842, absmax=12.61 +2025-11-04 13:05:53,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=11.55, mean=-0.1273, std=2.577, absmax=12.47 +2025-11-04 13:05:54,036 ERROR: Encountered non-finite generator loss at iter 19124; skipping update. +2025-11-04 13:05:54,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:54,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.96, mean=-0.05117, std=2.926, absmax=12.01 +2025-11-04 13:05:54,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=11.64, mean=-0.0488, std=2.729, absmax=11.64 +2025-11-04 13:05:54,397 ERROR: Encountered non-finite generator loss at iter 19125; skipping update. +2025-11-04 13:05:54,398 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,399 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:54,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.07, mean=-0.3506, std=2.7, absmax=12.22 +2025-11-04 13:05:54,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=9.262, mean=-0.2981, std=2.559, absmax=10.55 +2025-11-04 13:05:54,756 ERROR: Encountered non-finite generator loss at iter 19126; skipping update. +2025-11-04 13:05:54,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:54,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:54,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.84, mean=-0.164, std=2.553, absmax=12.84 +2025-11-04 13:05:54,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.878, max=10.57, mean=-0.1615, std=2.37, absmax=10.57 +2025-11-04 13:05:55,117 ERROR: Encountered non-finite generator loss at iter 19127; skipping update. +2025-11-04 13:05:55,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:55,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=10.75, mean=-0.09009, std=2.57, absmax=11.29 +2025-11-04 13:05:55,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.761, max=9.338, mean=-0.05192, std=2.431, absmax=9.761 +2025-11-04 13:05:55,476 ERROR: Encountered non-finite generator loss at iter 19128; skipping update. +2025-11-04 13:05:55,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:55,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=10.89, mean=-0.1226, std=2.625, absmax=11.24 +2025-11-04 13:05:55,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.6, mean=-0.123, std=2.47, absmax=10.63 +2025-11-04 13:05:55,836 ERROR: Encountered non-finite generator loss at iter 19129; skipping update. +2025-11-04 13:05:55,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:55,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:55,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=10.29, mean=-0.3109, std=3.199, absmax=14.01 +2025-11-04 13:05:55,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=10.96, mean=-0.2615, std=3.036, absmax=11.8 +2025-11-04 13:05:56,197 ERROR: Encountered non-finite generator loss at iter 19130; skipping update. +2025-11-04 13:05:56,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:56,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=16.31, mean=-0.0857, std=3.205, absmax=16.31 +2025-11-04 13:05:56,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=13.93, mean=-0.1279, std=2.818, absmax=13.93 +2025-11-04 13:05:56,557 ERROR: Encountered non-finite generator loss at iter 19131; skipping update. +2025-11-04 13:05:56,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:56,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.52, mean=-0.2113, std=2.691, absmax=12.66 +2025-11-04 13:05:56,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.43, mean=-0.233, std=2.569, absmax=11.79 +2025-11-04 13:05:56,918 ERROR: Encountered non-finite generator loss at iter 19132; skipping update. +2025-11-04 13:05:56,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:56,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:56,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.68, mean=-0.113, std=2.843, absmax=13.7 +2025-11-04 13:05:56,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=12.52, mean=-0.07554, std=2.606, absmax=12.62 +2025-11-04 13:05:57,278 ERROR: Encountered non-finite generator loss at iter 19133; skipping update. +2025-11-04 13:05:57,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:57,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.43, mean=-0.04417, std=2.963, absmax=13.43 +2025-11-04 13:05:57,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=12.42, mean=-0.0264, std=2.769, absmax=12.42 +2025-11-04 13:05:57,638 ERROR: Encountered non-finite generator loss at iter 19134; skipping update. +2025-11-04 13:05:57,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:57,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.83, mean=-0.3148, std=2.636, absmax=11.83 +2025-11-04 13:05:57,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=9.299, mean=-0.2889, std=2.543, absmax=10.86 +2025-11-04 13:05:57,997 ERROR: Encountered non-finite generator loss at iter 19135; skipping update. +2025-11-04 13:05:57,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:57,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:58,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:58,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.07, mean=-0.1528, std=3.399, absmax=13.36 +2025-11-04 13:05:58,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=9.184, mean=-0.116, std=3.19, absmax=11.28 +2025-11-04 13:05:58,357 ERROR: Encountered non-finite generator loss at iter 19136; skipping update. +2025-11-04 13:05:58,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:58,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:58,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:58,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:58,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=17.26, mean=0.1237, std=3.954, absmax=17.26 +2025-11-04 13:05:58,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=16.53, mean=0.1659, std=3.785, absmax=16.53 +2025-11-04 13:05:58,717 ERROR: Encountered non-finite generator loss at iter 19137; skipping update. +2025-11-04 13:05:58,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:58,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:58,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:58,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:58,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=12.31, mean=-0.1684, std=3.009, absmax=12.31 +2025-11-04 13:05:58,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=11.98, mean=-0.1479, std=2.836, absmax=11.98 +2025-11-04 13:05:59,077 ERROR: Encountered non-finite generator loss at iter 19138; skipping update. +2025-11-04 13:05:59,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:59,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12, mean=-0.2733, std=3.411, absmax=12.94 +2025-11-04 13:05:59,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=11.93, mean=-0.2305, std=3.226, absmax=13.36 +2025-11-04 13:05:59,437 ERROR: Encountered non-finite generator loss at iter 19139; skipping update. +2025-11-04 13:05:59,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:59,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.51, mean=-0.07644, std=3.288, absmax=13.85 +2025-11-04 13:05:59,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=10.87, mean=-0.06103, std=2.907, absmax=10.87 +2025-11-04 13:05:59,798 ERROR: Encountered non-finite generator loss at iter 19140; skipping update. +2025-11-04 13:05:59,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:05:59,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:05:59,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=10.86, mean=-0.2221, std=2.901, absmax=12.33 +2025-11-04 13:05:59,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=11.07, mean=-0.2315, std=2.787, absmax=12.86 +2025-11-04 13:06:00,158 ERROR: Encountered non-finite generator loss at iter 19141; skipping update. +2025-11-04 13:06:00,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:00,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.52, mean=-0.3105, std=2.772, absmax=12.52 +2025-11-04 13:06:00,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=9.408, mean=-0.2762, std=2.574, absmax=11.45 +2025-11-04 13:06:00,517 ERROR: Encountered non-finite generator loss at iter 19142; skipping update. +2025-11-04 13:06:00,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:00,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10.66, mean=-0.09972, std=2.428, absmax=12.09 +2025-11-04 13:06:00,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.927, max=9.536, mean=-0.09242, std=2.193, absmax=9.927 +2025-11-04 13:06:00,878 ERROR: Encountered non-finite generator loss at iter 19143; skipping update. +2025-11-04 13:06:00,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:00,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:00,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.32, mean=0.003548, std=3.209, absmax=13.32 +2025-11-04 13:06:00,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.5, mean=-0.003069, std=3, absmax=12.5 +2025-11-04 13:06:01,239 ERROR: Encountered non-finite generator loss at iter 19144; skipping update. +2025-11-04 13:06:01,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:01,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.55, mean=-0.2406, std=2.415, absmax=14.61 +2025-11-04 13:06:01,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=13.17, mean=-0.2251, std=2.294, absmax=13.17 +2025-11-04 13:06:01,600 ERROR: Encountered non-finite generator loss at iter 19145; skipping update. +2025-11-04 13:06:01,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:01,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.82, max=10.73, mean=-0.3167, std=3.174, absmax=15.82 +2025-11-04 13:06:01,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=9.602, mean=-0.2624, std=3.059, absmax=13.39 +2025-11-04 13:06:01,961 ERROR: Encountered non-finite generator loss at iter 19146; skipping update. +2025-11-04 13:06:01,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:01,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:01,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.87, mean=-0.1511, std=2.649, absmax=13.87 +2025-11-04 13:06:01,965 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=12.35, mean=-0.1121, std=2.572, absmax=12.35 +2025-11-04 13:06:02,323 ERROR: Encountered non-finite generator loss at iter 19147; skipping update. +2025-11-04 13:06:02,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:02,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:02,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:02,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:02,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=10.91, mean=-0.2509, std=2.723, absmax=11.87 +2025-11-04 13:06:02,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=9.635, mean=-0.2373, std=2.535, absmax=11.06 +2025-11-04 13:06:02,684 ERROR: Encountered non-finite generator loss at iter 19148; skipping update. +2025-11-04 13:06:02,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:02,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:02,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:02,686 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:02,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.68, mean=-0.1592, std=2.945, absmax=13.35 +2025-11-04 13:06:02,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=10.82, mean=-0.1708, std=2.694, absmax=10.82 +2025-11-04 13:06:03,045 ERROR: Encountered non-finite generator loss at iter 19149; skipping update. +2025-11-04 13:06:03,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:03,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.25, mean=-0.01685, std=3.392, absmax=14.54 +2025-11-04 13:06:03,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=12.48, mean=-0.005355, std=3.061, absmax=12.48 +2025-11-04 13:06:03,407 ERROR: Encountered non-finite generator loss at iter 19150; skipping update. +2025-11-04 13:06:03,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:03,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.76, mean=0.05526, std=3.161, absmax=12.76 +2025-11-04 13:06:03,411 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=12.76, mean=0.05763, std=3.008, absmax=12.76 +2025-11-04 13:06:03,768 ERROR: Encountered non-finite generator loss at iter 19151; skipping update. +2025-11-04 13:06:03,770 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,771 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:03,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:03,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.61, mean=-0.1143, std=2.986, absmax=12.54 +2025-11-04 13:06:03,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=10.93, mean=-0.05787, std=2.804, absmax=10.93 +2025-11-04 13:06:04,131 ERROR: Encountered non-finite generator loss at iter 19152; skipping update. +2025-11-04 13:06:04,132 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,133 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,133 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:04,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.52, mean=-0.1924, std=2.536, absmax=13.67 +2025-11-04 13:06:04,134 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=10.85, mean=-0.1948, std=2.348, absmax=12.97 +2025-11-04 13:06:04,492 ERROR: Encountered non-finite generator loss at iter 19153; skipping update. +2025-11-04 13:06:04,494 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,495 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:04,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.67, mean=-0.3041, std=2.663, absmax=12.84 +2025-11-04 13:06:04,496 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=10.24, mean=-0.2715, std=2.484, absmax=10.79 +2025-11-04 13:06:04,854 ERROR: Encountered non-finite generator loss at iter 19154; skipping update. +2025-11-04 13:06:04,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:04,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:04,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=15.93, mean=-0.04236, std=3.442, absmax=15.93 +2025-11-04 13:06:04,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=13.65, mean=-0.05397, std=3.131, absmax=13.65 +2025-11-04 13:06:05,215 ERROR: Encountered non-finite generator loss at iter 19155; skipping update. +2025-11-04 13:06:05,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,217 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:05,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.76, mean=-0.2145, std=2.739, absmax=12.76 +2025-11-04 13:06:05,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=11.23, mean=-0.2074, std=2.482, absmax=11.23 +2025-11-04 13:06:05,577 ERROR: Encountered non-finite generator loss at iter 19156; skipping update. +2025-11-04 13:06:05,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:05,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=13.04, mean=-0.2073, std=2.637, absmax=13.04 +2025-11-04 13:06:05,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.889, max=10.38, mean=-0.1907, std=2.398, absmax=10.38 +2025-11-04 13:06:05,938 ERROR: Encountered non-finite generator loss at iter 19157; skipping update. +2025-11-04 13:06:05,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:05,941 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:05,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=18.56, mean=-0.2933, std=2.893, absmax=18.56 +2025-11-04 13:06:05,942 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=13.75, mean=-0.259, std=2.628, absmax=13.75 +2025-11-04 13:06:06,299 ERROR: Encountered non-finite generator loss at iter 19158; skipping update. +2025-11-04 13:06:06,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:06,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:06,301 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:06,302 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:06,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.53, mean=-0.06265, std=2.947, absmax=13.53 +2025-11-04 13:06:06,303 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=11.58, mean=-0.05562, std=2.711, absmax=11.71 +2025-11-04 13:06:06,660 ERROR: Encountered non-finite generator loss at iter 19159; skipping update. +2025-11-04 13:06:06,661 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:06,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:06,662 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:06,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:06,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.72, mean=-0.3155, std=2.573, absmax=12.38 +2025-11-04 13:06:06,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=10.05, mean=-0.2745, std=2.387, absmax=10.33 +2025-11-04 13:06:07,022 ERROR: Encountered non-finite generator loss at iter 19160; skipping update. +2025-11-04 13:06:07,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:07,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=12.55, mean=-0.2037, std=2.707, absmax=12.55 +2025-11-04 13:06:07,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=11.3, mean=-0.1819, std=2.478, absmax=11.3 +2025-11-04 13:06:07,383 ERROR: Encountered non-finite generator loss at iter 19161; skipping update. +2025-11-04 13:06:07,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:07,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.51, mean=-0.1944, std=2.883, absmax=12.76 +2025-11-04 13:06:07,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=10.86, mean=-0.1644, std=2.726, absmax=12.54 +2025-11-04 13:06:07,745 ERROR: Encountered non-finite generator loss at iter 19162; skipping update. +2025-11-04 13:06:07,746 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:07,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:07,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=14.04, mean=-0.02781, std=3.027, absmax=14.04 +2025-11-04 13:06:07,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=14.42, mean=-0.02434, std=2.903, absmax=14.42 +2025-11-04 13:06:08,107 ERROR: Encountered non-finite generator loss at iter 19163; skipping update. +2025-11-04 13:06:08,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,110 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:08,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.55, mean=-0.1217, std=3.395, absmax=13.55 +2025-11-04 13:06:08,111 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.74, mean=-0.1626, std=3.35, absmax=12.74 +2025-11-04 13:06:08,468 ERROR: Encountered non-finite generator loss at iter 19164; skipping update. +2025-11-04 13:06:08,469 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,470 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:08,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.31, mean=-0.1847, std=3.269, absmax=13.88 +2025-11-04 13:06:08,472 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=12.26, mean=-0.1567, std=3.06, absmax=12.84 +2025-11-04 13:06:08,830 ERROR: Encountered non-finite generator loss at iter 19165; skipping update. +2025-11-04 13:06:08,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,832 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:08,833 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:08,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.71, mean=-0.3675, std=3.496, absmax=13.04 +2025-11-04 13:06:08,834 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.21, mean=-0.3618, std=3.284, absmax=12.3 +2025-11-04 13:06:09,192 ERROR: Encountered non-finite generator loss at iter 19166; skipping update. +2025-11-04 13:06:09,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:09,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.02, mean=0.1992, std=3.343, absmax=14.02 +2025-11-04 13:06:09,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=14.02, mean=0.2117, std=3.078, absmax=14.02 +2025-11-04 13:06:09,554 ERROR: Encountered non-finite generator loss at iter 19167; skipping update. +2025-11-04 13:06:09,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:09,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.82, mean=-0.2058, std=3.237, absmax=14.82 +2025-11-04 13:06:09,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=13.08, mean=-0.1803, std=2.98, absmax=13.08 +2025-11-04 13:06:09,916 ERROR: Encountered non-finite generator loss at iter 19168; skipping update. +2025-11-04 13:06:09,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:09,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:09,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=15.34, mean=-0.06152, std=2.831, absmax=15.34 +2025-11-04 13:06:09,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=14.16, mean=-0.1066, std=2.659, absmax=14.16 +2025-11-04 13:06:10,278 ERROR: Encountered non-finite generator loss at iter 19169; skipping update. +2025-11-04 13:06:10,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:10,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:10,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:10,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:10,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=14.69, mean=-0.194, std=3.123, absmax=14.69 +2025-11-04 13:06:10,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=13.44, mean=-0.147, std=3.026, absmax=13.44 +2025-11-04 13:06:10,640 ERROR: Encountered non-finite generator loss at iter 19170; skipping update. +2025-11-04 13:06:10,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:10,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:10,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:10,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:10,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.89, mean=-0.1943, std=3.093, absmax=12.89 +2025-11-04 13:06:10,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=11.99, mean=-0.1502, std=2.749, absmax=11.99 +2025-11-04 13:06:11,001 ERROR: Encountered non-finite generator loss at iter 19171; skipping update. +2025-11-04 13:06:11,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:11,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.44, mean=0.04714, std=3.218, absmax=13.44 +2025-11-04 13:06:11,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.4, mean=0.05, std=2.946, absmax=12.4 +2025-11-04 13:06:11,363 ERROR: Encountered non-finite generator loss at iter 19172; skipping update. +2025-11-04 13:06:11,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:11,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=10.33, mean=-0.2723, std=2.7, absmax=14.17 +2025-11-04 13:06:11,367 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=10.18, mean=-0.2627, std=2.623, absmax=11.32 +2025-11-04 13:06:11,725 ERROR: Encountered non-finite generator loss at iter 19173; skipping update. +2025-11-04 13:06:11,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:11,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:11,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=14.7, mean=-0.1019, std=3.103, absmax=14.7 +2025-11-04 13:06:11,729 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=14.45, mean=-0.06103, std=2.981, absmax=14.45 +2025-11-04 13:06:12,086 ERROR: Encountered non-finite generator loss at iter 19174; skipping update. +2025-11-04 13:06:12,087 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,088 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:12,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.14, mean=-0.1071, std=3.201, absmax=13.63 +2025-11-04 13:06:12,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=11.33, mean=-0.0577, std=2.961, absmax=12.69 +2025-11-04 13:06:12,448 ERROR: Encountered non-finite generator loss at iter 19175; skipping update. +2025-11-04 13:06:12,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:12,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=12.18, mean=-0.1072, std=2.722, absmax=12.18 +2025-11-04 13:06:12,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.79, mean=-0.07818, std=2.531, absmax=12.79 +2025-11-04 13:06:12,812 ERROR: Encountered non-finite generator loss at iter 19176; skipping update. +2025-11-04 13:06:12,813 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:12,814 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:12,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.99, mean=-0.1863, std=2.875, absmax=13.99 +2025-11-04 13:06:12,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=10.96, mean=-0.1662, std=2.597, absmax=11.4 +2025-11-04 13:06:13,173 ERROR: Encountered non-finite generator loss at iter 19177; skipping update. +2025-11-04 13:06:13,174 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:13,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.88, mean=-0.04685, std=3.086, absmax=13.88 +2025-11-04 13:06:13,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=12.2, mean=-0.03928, std=2.895, absmax=12.86 +2025-11-04 13:06:13,536 ERROR: Encountered non-finite generator loss at iter 19178; skipping update. +2025-11-04 13:06:13,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:13,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13, mean=-0.1257, std=2.695, absmax=13 +2025-11-04 13:06:13,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=13.15, mean=-0.1377, std=2.595, absmax=13.15 +2025-11-04 13:06:13,898 ERROR: Encountered non-finite generator loss at iter 19179; skipping update. +2025-11-04 13:06:13,899 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:13,900 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:13,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.39, mean=-0.1088, std=2.673, absmax=13.59 +2025-11-04 13:06:13,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=10.09, mean=-0.1053, std=2.411, absmax=11.71 +2025-11-04 13:06:14,261 ERROR: Encountered non-finite generator loss at iter 19180; skipping update. +2025-11-04 13:06:14,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,263 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:14,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.76, mean=-0.1743, std=2.93, absmax=13.76 +2025-11-04 13:06:14,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.66, mean=-0.1337, std=2.688, absmax=11.66 +2025-11-04 13:06:14,623 ERROR: Encountered non-finite generator loss at iter 19181; skipping update. +2025-11-04 13:06:14,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:14,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=10.87, mean=-0.128, std=2.707, absmax=12.84 +2025-11-04 13:06:14,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=10.33, mean=-0.1098, std=2.616, absmax=11.27 +2025-11-04 13:06:14,982 ERROR: Encountered non-finite generator loss at iter 19182; skipping update. +2025-11-04 13:06:14,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:14,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:14,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.24, mean=-0.1406, std=2.969, absmax=12.24 +2025-11-04 13:06:14,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=11.11, mean=-0.1117, std=2.842, absmax=11.11 +2025-11-04 13:06:15,344 ERROR: Encountered non-finite generator loss at iter 19183; skipping update. +2025-11-04 13:06:15,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:15,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:15,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:15,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:15,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=13.87, mean=-0.3579, std=3.414, absmax=14.27 +2025-11-04 13:06:15,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=11.83, mean=-0.3328, std=3.276, absmax=13.25 +2025-11-04 13:06:15,706 ERROR: Encountered non-finite generator loss at iter 19184; skipping update. +2025-11-04 13:06:15,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:15,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:15,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:15,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:15,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=16.07, mean=0.1194, std=3.42, absmax=16.07 +2025-11-04 13:06:15,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=14.8, mean=0.123, std=3.226, absmax=14.8 +2025-11-04 13:06:16,067 ERROR: Encountered non-finite generator loss at iter 19185; skipping update. +2025-11-04 13:06:16,069 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:16,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.66, mean=-0.0653, std=3.327, absmax=12.66 +2025-11-04 13:06:16,071 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.26, mean=-0.06575, std=3.019, absmax=11.32 +2025-11-04 13:06:16,429 ERROR: Encountered non-finite generator loss at iter 19186; skipping update. +2025-11-04 13:06:16,430 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,431 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,432 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:16,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=14.27, mean=-0.06567, std=3.075, absmax=14.28 +2025-11-04 13:06:16,433 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=13.29, mean=-0.1165, std=2.875, absmax=13.29 +2025-11-04 13:06:16,791 ERROR: Encountered non-finite generator loss at iter 19187; skipping update. +2025-11-04 13:06:16,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,793 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:16,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:16,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.36, mean=-0.202, std=3.333, absmax=13.36 +2025-11-04 13:06:16,795 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=11.79, mean=-0.186, std=3.043, absmax=11.79 +2025-11-04 13:06:17,153 ERROR: Encountered non-finite generator loss at iter 19188; skipping update. +2025-11-04 13:06:17,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,155 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:17,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.3, max=13.6, mean=-0.03759, std=3.061, absmax=15.3 +2025-11-04 13:06:17,156 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.72, mean=-0.0321, std=2.839, absmax=12.72 +2025-11-04 13:06:17,515 ERROR: Encountered non-finite generator loss at iter 19189; skipping update. +2025-11-04 13:06:17,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,517 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:17,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.68, mean=-0.1515, std=2.805, absmax=13.68 +2025-11-04 13:06:17,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.58, mean=-0.1111, std=2.669, absmax=12.44 +2025-11-04 13:06:17,876 ERROR: Encountered non-finite generator loss at iter 19190; skipping update. +2025-11-04 13:06:17,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:17,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:17,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=15.06, mean=-0.2383, std=3.53, absmax=15.06 +2025-11-04 13:06:17,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.24, mean=-0.2292, std=3.237, absmax=12.24 +2025-11-04 13:06:18,237 ERROR: Encountered non-finite generator loss at iter 19191; skipping update. +2025-11-04 13:06:18,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:18,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.17, mean=-0.0928, std=3.159, absmax=13.17 +2025-11-04 13:06:18,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.51, mean=-0.1071, std=2.836, absmax=11.51 +2025-11-04 13:06:18,599 ERROR: Encountered non-finite generator loss at iter 19192; skipping update. +2025-11-04 13:06:18,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:18,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.47, mean=-0.0455, std=3.189, absmax=12.47 +2025-11-04 13:06:18,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=11.39, mean=-0.02583, std=2.887, absmax=11.39 +2025-11-04 13:06:18,960 ERROR: Encountered non-finite generator loss at iter 19193; skipping update. +2025-11-04 13:06:18,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:18,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:18,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.11, mean=-0.2038, std=2.958, absmax=14.11 +2025-11-04 13:06:18,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=12.24, mean=-0.2139, std=2.782, absmax=12.24 +2025-11-04 13:06:19,321 ERROR: Encountered non-finite generator loss at iter 19194; skipping update. +2025-11-04 13:06:19,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:19,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:19,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:19,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:19,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=10.95, mean=-0.3672, std=3.787, absmax=13.54 +2025-11-04 13:06:19,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=10.34, mean=-0.3793, std=3.568, absmax=12.95 +2025-11-04 13:06:19,683 ERROR: Encountered non-finite generator loss at iter 19195; skipping update. +2025-11-04 13:06:19,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:19,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:19,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:19,686 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:19,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=10.9, mean=-0.1173, std=2.47, absmax=12.7 +2025-11-04 13:06:19,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=9.039, mean=-0.1345, std=2.267, absmax=12.9 +2025-11-04 13:06:20,047 ERROR: Encountered non-finite generator loss at iter 19196; skipping update. +2025-11-04 13:06:20,048 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,049 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,050 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:20,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=17.28, mean=-0.2523, std=2.66, absmax=17.28 +2025-11-04 13:06:20,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=13.79, mean=-0.2666, std=2.497, absmax=13.79 +2025-11-04 13:06:20,408 ERROR: Encountered non-finite generator loss at iter 19197; skipping update. +2025-11-04 13:06:20,410 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,411 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:20,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.85, mean=0.2503, std=3.495, absmax=13.85 +2025-11-04 13:06:20,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=13.09, mean=0.2155, std=3.298, absmax=13.09 +2025-11-04 13:06:20,770 ERROR: Encountered non-finite generator loss at iter 19198; skipping update. +2025-11-04 13:06:20,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,772 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:20,773 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:20,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.12, mean=-0.08487, std=3.519, absmax=13.12 +2025-11-04 13:06:20,774 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=12.44, mean=-0.06294, std=3.226, absmax=12.44 +2025-11-04 13:06:21,132 ERROR: Encountered non-finite generator loss at iter 19199; skipping update. +2025-11-04 13:06:21,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:21,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=13.51, mean=-0.1569, std=2.805, absmax=13.51 +2025-11-04 13:06:21,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=11.85, mean=-0.1283, std=2.595, absmax=11.85 +2025-11-04 13:06:21,495 ERROR: Encountered non-finite generator loss at iter 19200; skipping update. +2025-11-04 13:06:21,496 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,498 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:21,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=15.11, mean=-0.00353, std=2.937, absmax=15.11 +2025-11-04 13:06:21,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.55, mean=0.02675, std=2.741, absmax=12.55 +2025-11-04 13:06:21,499 INFO: [38..][epoch: 0, step: 19,200, lr:(2.000e-04,)] [eta: 1 day, 9:42:54, time (data): 0.361 (0.000)] +2025-11-04 13:06:21,856 ERROR: Encountered non-finite generator loss at iter 19201; skipping update. +2025-11-04 13:06:21,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:21,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:21,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.03, mean=-0.1064, std=2.76, absmax=12.09 +2025-11-04 13:06:21,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=12.5, mean=-0.1495, std=2.536, absmax=12.5 +2025-11-04 13:06:22,220 ERROR: Encountered non-finite generator loss at iter 19202; skipping update. +2025-11-04 13:06:22,221 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,222 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,222 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:22,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=15.14, mean=-0.1213, std=2.744, absmax=15.14 +2025-11-04 13:06:22,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=13.65, mean=-0.1128, std=2.515, absmax=13.65 +2025-11-04 13:06:22,580 ERROR: Encountered non-finite generator loss at iter 19203; skipping update. +2025-11-04 13:06:22,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:22,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=12.95, mean=-0.1661, std=2.645, absmax=12.95 +2025-11-04 13:06:22,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.755, max=11.54, mean=-0.1303, std=2.559, absmax=11.54 +2025-11-04 13:06:22,942 ERROR: Encountered non-finite generator loss at iter 19204; skipping update. +2025-11-04 13:06:22,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,944 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:22,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:22,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=17.21, mean=-0.107, std=3.006, absmax=17.21 +2025-11-04 13:06:22,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=14.48, mean=-0.1359, std=2.728, absmax=14.48 +2025-11-04 13:06:23,302 ERROR: Encountered non-finite generator loss at iter 19205; skipping update. +2025-11-04 13:06:23,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:23,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:23,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:23,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:23,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=15.54, mean=0.09564, std=3.391, absmax=15.54 +2025-11-04 13:06:23,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=15.09, mean=0.09384, std=3.306, absmax=15.09 +2025-11-04 13:06:23,662 ERROR: Encountered non-finite generator loss at iter 19206; skipping update. +2025-11-04 13:06:23,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:23,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:23,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:23,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:23,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=9.92, mean=-0.3508, std=3.213, absmax=13.27 +2025-11-04 13:06:23,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=9.328, mean=-0.3521, std=2.988, absmax=12.24 +2025-11-04 13:06:24,022 ERROR: Encountered non-finite generator loss at iter 19207; skipping update. +2025-11-04 13:06:24,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:24,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=11.78, mean=-0.2675, std=3.244, absmax=14.99 +2025-11-04 13:06:24,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=9.914, mean=-0.2439, std=3.01, absmax=13.46 +2025-11-04 13:06:24,383 ERROR: Encountered non-finite generator loss at iter 19208; skipping update. +2025-11-04 13:06:24,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:24,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=15.61, mean=-0.1359, std=2.82, absmax=15.61 +2025-11-04 13:06:24,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=12.36, mean=-0.1201, std=2.597, absmax=12.36 +2025-11-04 13:06:24,743 ERROR: Encountered non-finite generator loss at iter 19209; skipping update. +2025-11-04 13:06:24,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:24,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:24,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.41, mean=-0.003738, std=2.985, absmax=13.41 +2025-11-04 13:06:24,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=11.3, mean=-0.03787, std=2.814, absmax=11.3 +2025-11-04 13:06:25,103 ERROR: Encountered non-finite generator loss at iter 19210; skipping update. +2025-11-04 13:06:25,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:25,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.85, mean=-0.09018, std=3.493, absmax=13.85 +2025-11-04 13:06:25,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.44, mean=-0.08381, std=3.128, absmax=12.44 +2025-11-04 13:06:25,462 ERROR: Encountered non-finite generator loss at iter 19211; skipping update. +2025-11-04 13:06:25,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:25,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.61, mean=-0.1496, std=3.281, absmax=13.14 +2025-11-04 13:06:25,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.45, mean=-0.1506, std=2.879, absmax=10.96 +2025-11-04 13:06:25,824 ERROR: Encountered non-finite generator loss at iter 19212; skipping update. +2025-11-04 13:06:25,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:25,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:25,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=9.927, mean=-0.3799, std=3.15, absmax=14.02 +2025-11-04 13:06:25,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=9.593, mean=-0.3696, std=3.117, absmax=13.61 +2025-11-04 13:06:26,183 ERROR: Encountered non-finite generator loss at iter 19213; skipping update. +2025-11-04 13:06:26,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:26,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.5, mean=-0.2479, std=3.377, absmax=13.54 +2025-11-04 13:06:26,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=12.72, mean=-0.2398, std=3.133, absmax=13.1 +2025-11-04 13:06:26,543 ERROR: Encountered non-finite generator loss at iter 19214; skipping update. +2025-11-04 13:06:26,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:26,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=12.48, mean=-0.3044, std=3.191, absmax=15.07 +2025-11-04 13:06:26,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.71, mean=-0.2745, std=2.924, absmax=12.37 +2025-11-04 13:06:26,903 ERROR: Encountered non-finite generator loss at iter 19215; skipping update. +2025-11-04 13:06:26,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:26,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:26,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=14.87, mean=-0.175, std=3.531, absmax=15.03 +2025-11-04 13:06:26,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.87, max=13.73, mean=-0.1687, std=3.267, absmax=13.87 +2025-11-04 13:06:27,265 ERROR: Encountered non-finite generator loss at iter 19216; skipping update. +2025-11-04 13:06:27,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:27,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.87, mean=-0.3771, std=3.339, absmax=13.49 +2025-11-04 13:06:27,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.24, max=11.08, mean=-0.3411, std=3.116, absmax=14.24 +2025-11-04 13:06:27,625 ERROR: Encountered non-finite generator loss at iter 19217; skipping update. +2025-11-04 13:06:27,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:27,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.37, mean=0.1734, std=3.186, absmax=13.37 +2025-11-04 13:06:27,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=12.9, mean=0.1576, std=2.934, absmax=12.9 +2025-11-04 13:06:27,986 ERROR: Encountered non-finite generator loss at iter 19218; skipping update. +2025-11-04 13:06:27,987 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,988 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:27,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:27,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=14.52, mean=-0.2045, std=2.475, absmax=14.52 +2025-11-04 13:06:27,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=13.41, mean=-0.2026, std=2.308, absmax=13.41 +2025-11-04 13:06:28,346 ERROR: Encountered non-finite generator loss at iter 19219; skipping update. +2025-11-04 13:06:28,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:28,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:28,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:28,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:28,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.1, mean=0.1648, std=3.432, absmax=14.32 +2025-11-04 13:06:28,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=13.19, mean=0.1354, std=3.128, absmax=13.19 +2025-11-04 13:06:28,707 ERROR: Encountered non-finite generator loss at iter 19220; skipping update. +2025-11-04 13:06:28,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:28,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:28,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:28,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:28,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.3, mean=-0.2073, std=3.15, absmax=13.11 +2025-11-04 13:06:28,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=11.91, mean=-0.1906, std=2.859, absmax=11.91 +2025-11-04 13:06:29,067 ERROR: Encountered non-finite generator loss at iter 19221; skipping update. +2025-11-04 13:06:29,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:29,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=15.65, mean=0.104, std=3.628, absmax=15.65 +2025-11-04 13:06:29,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=13.69, mean=0.08788, std=3.403, absmax=13.69 +2025-11-04 13:06:29,425 ERROR: Encountered non-finite generator loss at iter 19222; skipping update. +2025-11-04 13:06:29,426 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,427 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,427 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:29,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=16.07, mean=0.05534, std=3.676, absmax=16.07 +2025-11-04 13:06:29,428 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=15.82, mean=0.08012, std=3.419, absmax=15.82 +2025-11-04 13:06:29,785 ERROR: Encountered non-finite generator loss at iter 19223; skipping update. +2025-11-04 13:06:29,786 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,787 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:29,788 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:29,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.24, mean=-0.2643, std=3.135, absmax=13.24 +2025-11-04 13:06:29,789 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=12.41, mean=-0.228, std=3.043, absmax=12.64 +2025-11-04 13:06:30,146 ERROR: Encountered non-finite generator loss at iter 19224; skipping update. +2025-11-04 13:06:30,147 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,148 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:30,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.48, mean=-0.3399, std=2.893, absmax=14.48 +2025-11-04 13:06:30,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=11.49, mean=-0.2835, std=2.612, absmax=11.49 +2025-11-04 13:06:30,506 ERROR: Encountered non-finite generator loss at iter 19225; skipping update. +2025-11-04 13:06:30,507 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:30,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.07, mean=0.01749, std=3.088, absmax=13.42 +2025-11-04 13:06:30,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.73, max=11.55, mean=0.03632, std=2.926, absmax=13.73 +2025-11-04 13:06:30,867 ERROR: Encountered non-finite generator loss at iter 19226; skipping update. +2025-11-04 13:06:30,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:30,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:30,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.27, mean=-0.2163, std=2.592, absmax=12.12 +2025-11-04 13:06:30,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=10.12, mean=-0.2096, std=2.406, absmax=11.27 +2025-11-04 13:06:31,227 ERROR: Encountered non-finite generator loss at iter 19227; skipping update. +2025-11-04 13:06:31,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:31,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.95, mean=-0.2226, std=3.124, absmax=13.95 +2025-11-04 13:06:31,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=11.61, mean=-0.1938, std=2.835, absmax=12.84 +2025-11-04 13:06:31,587 ERROR: Encountered non-finite generator loss at iter 19228; skipping update. +2025-11-04 13:06:31,588 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:31,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.09, mean=-0.127, std=2.75, absmax=14.09 +2025-11-04 13:06:31,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=12.61, mean=-0.1049, std=2.618, absmax=12.61 +2025-11-04 13:06:31,946 ERROR: Encountered non-finite generator loss at iter 19229; skipping update. +2025-11-04 13:06:31,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,947 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:31,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:31,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.27, mean=-0.01577, std=3.072, absmax=14.27 +2025-11-04 13:06:31,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=13.46, mean=-0.04393, std=2.78, absmax=13.46 +2025-11-04 13:06:32,306 ERROR: Encountered non-finite generator loss at iter 19230; skipping update. +2025-11-04 13:06:32,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:32,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:32,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:32,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:32,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.19, mean=-0.05474, std=2.994, absmax=12.19 +2025-11-04 13:06:32,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.06, mean=-0.01888, std=2.861, absmax=12.06 +2025-11-04 13:06:32,666 ERROR: Encountered non-finite generator loss at iter 19231; skipping update. +2025-11-04 13:06:32,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:32,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:32,668 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:32,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:32,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.76, mean=-0.1355, std=3.14, absmax=13.33 +2025-11-04 13:06:32,670 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.55, mean=-0.1262, std=2.9, absmax=11.55 +2025-11-04 13:06:33,027 ERROR: Encountered non-finite generator loss at iter 19232; skipping update. +2025-11-04 13:06:33,028 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,029 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:33,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.31, mean=-0.2312, std=2.7, absmax=11.55 +2025-11-04 13:06:33,030 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=9.764, mean=-0.2253, std=2.517, absmax=10.49 +2025-11-04 13:06:33,386 ERROR: Encountered non-finite generator loss at iter 19233; skipping update. +2025-11-04 13:06:33,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:33,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=15.39, mean=-0.1632, std=2.679, absmax=15.39 +2025-11-04 13:06:33,390 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=14.37, mean=-0.1308, std=2.608, absmax=14.37 +2025-11-04 13:06:33,746 ERROR: Encountered non-finite generator loss at iter 19234; skipping update. +2025-11-04 13:06:33,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:33,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:33,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.8, mean=-0.02845, std=3.204, absmax=12.8 +2025-11-04 13:06:33,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=11.84, mean=-0.02835, std=2.971, absmax=11.84 +2025-11-04 13:06:34,106 ERROR: Encountered non-finite generator loss at iter 19235; skipping update. +2025-11-04 13:06:34,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:34,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.89, mean=-0.07134, std=2.771, absmax=11.89 +2025-11-04 13:06:34,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=9.812, mean=-0.07484, std=2.504, absmax=10.16 +2025-11-04 13:06:34,467 ERROR: Encountered non-finite generator loss at iter 19236; skipping update. +2025-11-04 13:06:34,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,469 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:34,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=14.28, mean=-0.1687, std=3.229, absmax=14.28 +2025-11-04 13:06:34,470 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.02, max=12.94, mean=-0.1405, std=2.915, absmax=14.02 +2025-11-04 13:06:34,827 ERROR: Encountered non-finite generator loss at iter 19237; skipping update. +2025-11-04 13:06:34,828 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,829 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:34,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:34,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.47, mean=-0.1408, std=3.572, absmax=15.47 +2025-11-04 13:06:34,831 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=14.21, mean=-0.1181, std=3.335, absmax=14.21 +2025-11-04 13:06:35,188 ERROR: Encountered non-finite generator loss at iter 19238; skipping update. +2025-11-04 13:06:35,189 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,190 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,190 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:35,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.33, mean=-0.1844, std=2.777, absmax=14.33 +2025-11-04 13:06:35,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=12.73, mean=-0.1671, std=2.547, absmax=12.73 +2025-11-04 13:06:35,548 ERROR: Encountered non-finite generator loss at iter 19239; skipping update. +2025-11-04 13:06:35,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:35,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=16.03, mean=-0.06005, std=2.557, absmax=16.03 +2025-11-04 13:06:35,553 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=10.56, mean=-0.04718, std=2.308, absmax=10.56 +2025-11-04 13:06:35,910 ERROR: Encountered non-finite generator loss at iter 19240; skipping update. +2025-11-04 13:06:35,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:35,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:35,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=14.06, mean=-0.01614, std=3.526, absmax=14.06 +2025-11-04 13:06:35,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=13.67, mean=-0.02713, std=3.297, absmax=13.67 +2025-11-04 13:06:36,270 ERROR: Encountered non-finite generator loss at iter 19241; skipping update. +2025-11-04 13:06:36,272 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:36,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.28, mean=-0.1207, std=2.928, absmax=12.44 +2025-11-04 13:06:36,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.85, mean=-0.1129, std=2.679, absmax=10.85 +2025-11-04 13:06:36,631 ERROR: Encountered non-finite generator loss at iter 19242; skipping update. +2025-11-04 13:06:36,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:36,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.01, mean=0.01111, std=2.991, absmax=12.01 +2025-11-04 13:06:36,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.63, mean=-0.01554, std=2.841, absmax=11.63 +2025-11-04 13:06:36,992 ERROR: Encountered non-finite generator loss at iter 19243; skipping update. +2025-11-04 13:06:36,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:36,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:36,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.92, max=17.67, mean=-0.04352, std=3.796, absmax=18.92 +2025-11-04 13:06:36,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.5, max=16.54, mean=-0.07054, std=3.515, absmax=16.54 +2025-11-04 13:06:37,353 ERROR: Encountered non-finite generator loss at iter 19244; skipping update. +2025-11-04 13:06:37,354 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:37,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:37,355 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:37,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:37,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.07, mean=-0.06438, std=3.083, absmax=14.07 +2025-11-04 13:06:37,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=13.69, mean=-0.04497, std=2.914, absmax=13.69 +2025-11-04 13:06:37,713 ERROR: Encountered non-finite generator loss at iter 19245; skipping update. +2025-11-04 13:06:37,715 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:37,715 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:37,715 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:37,716 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:37,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.14, mean=-0.2594, std=2.485, absmax=12.58 +2025-11-04 13:06:37,717 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=9.798, mean=-0.2275, std=2.421, absmax=10.54 +2025-11-04 13:06:38,074 ERROR: Encountered non-finite generator loss at iter 19246; skipping update. +2025-11-04 13:06:38,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:38,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.56, mean=-0.1216, std=2.914, absmax=14.56 +2025-11-04 13:06:38,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=13.74, mean=-0.07112, std=2.766, absmax=13.74 +2025-11-04 13:06:38,434 ERROR: Encountered non-finite generator loss at iter 19247; skipping update. +2025-11-04 13:06:38,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:38,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=17.27, mean=-0.06262, std=3.144, absmax=17.27 +2025-11-04 13:06:38,438 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=15.54, mean=-0.06959, std=2.954, absmax=15.54 +2025-11-04 13:06:38,795 ERROR: Encountered non-finite generator loss at iter 19248; skipping update. +2025-11-04 13:06:38,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:38,797 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:38,798 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.12, mean=-0.006012, std=3.406, absmax=14.12 +2025-11-04 13:06:38,798 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=12.32, mean=0.05209, std=3.257, absmax=12.32 +2025-11-04 13:06:39,155 ERROR: Encountered non-finite generator loss at iter 19249; skipping update. +2025-11-04 13:06:39,156 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,157 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:39,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.47, max=14.03, mean=-0.2921, std=3.325, absmax=15.47 +2025-11-04 13:06:39,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.59, mean=-0.2905, std=3.07, absmax=12.59 +2025-11-04 13:06:39,515 ERROR: Encountered non-finite generator loss at iter 19250; skipping update. +2025-11-04 13:06:39,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,517 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:39,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.899, max=11.37, mean=-0.1327, std=2.341, absmax=11.37 +2025-11-04 13:06:39,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.355, max=9.494, mean=-0.1243, std=2.159, absmax=9.494 +2025-11-04 13:06:39,875 ERROR: Encountered non-finite generator loss at iter 19251; skipping update. +2025-11-04 13:06:39,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:39,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:39,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.08, mean=0.02161, std=2.904, absmax=13.97 +2025-11-04 13:06:39,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=12.67, mean=-0.01648, std=2.751, absmax=12.67 +2025-11-04 13:06:40,237 ERROR: Encountered non-finite generator loss at iter 19252; skipping update. +2025-11-04 13:06:40,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:40,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.73, mean=-0.01521, std=3.159, absmax=13.73 +2025-11-04 13:06:40,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.17, mean=-0.03756, std=2.871, absmax=12.17 +2025-11-04 13:06:40,598 ERROR: Encountered non-finite generator loss at iter 19253; skipping update. +2025-11-04 13:06:40,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:40,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=14.99, mean=-0.05283, std=2.7, absmax=14.99 +2025-11-04 13:06:40,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.571, max=12.18, mean=-0.01902, std=2.595, absmax=12.18 +2025-11-04 13:06:40,958 ERROR: Encountered non-finite generator loss at iter 19254; skipping update. +2025-11-04 13:06:40,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:40,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:40,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=11.27, mean=-0.3151, std=2.963, absmax=14.3 +2025-11-04 13:06:40,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=9.588, mean=-0.3391, std=2.833, absmax=13.6 +2025-11-04 13:06:41,319 ERROR: Encountered non-finite generator loss at iter 19255; skipping update. +2025-11-04 13:06:41,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:41,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:41,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:41,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:41,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.36, max=12.83, mean=-0.2422, std=3.205, absmax=15.36 +2025-11-04 13:06:41,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.65, max=10.42, mean=-0.2975, std=2.988, absmax=14.65 +2025-11-04 13:06:41,680 ERROR: Encountered non-finite generator loss at iter 19256; skipping update. +2025-11-04 13:06:41,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:41,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:41,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:41,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:41,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=17.58, mean=-0.0789, std=3.376, absmax=17.58 +2025-11-04 13:06:41,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=13.7, mean=-0.03796, std=3.084, absmax=13.7 +2025-11-04 13:06:42,039 ERROR: Encountered non-finite generator loss at iter 19257; skipping update. +2025-11-04 13:06:42,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,042 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:42,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.12, mean=-0.2277, std=2.869, absmax=14.12 +2025-11-04 13:06:42,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=12.89, mean=-0.2274, std=2.743, absmax=12.92 +2025-11-04 13:06:42,399 ERROR: Encountered non-finite generator loss at iter 19258; skipping update. +2025-11-04 13:06:42,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:42,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=13.19, mean=-0.06312, std=3.467, absmax=14.13 +2025-11-04 13:06:42,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=12.5, mean=-0.09216, std=3.252, absmax=12.63 +2025-11-04 13:06:42,759 ERROR: Encountered non-finite generator loss at iter 19259; skipping update. +2025-11-04 13:06:42,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:42,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:42,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.42, mean=-0.2254, std=2.546, absmax=13.42 +2025-11-04 13:06:42,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.319, max=12.12, mean=-0.211, std=2.326, absmax=12.12 +2025-11-04 13:06:43,121 ERROR: Encountered non-finite generator loss at iter 19260; skipping update. +2025-11-04 13:06:43,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:43,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.11, mean=-0.1174, std=2.381, absmax=13.11 +2025-11-04 13:06:43,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=10.51, mean=-0.1532, std=2.204, absmax=11.25 +2025-11-04 13:06:43,480 ERROR: Encountered non-finite generator loss at iter 19261; skipping update. +2025-11-04 13:06:43,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:43,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=14.26, mean=-0.02588, std=3.34, absmax=14.26 +2025-11-04 13:06:43,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=13.15, mean=-0.008955, std=3.032, absmax=13.15 +2025-11-04 13:06:43,840 ERROR: Encountered non-finite generator loss at iter 19262; skipping update. +2025-11-04 13:06:43,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:43,842 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:43,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.43, mean=0.1236, std=3.254, absmax=12.43 +2025-11-04 13:06:43,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.22, mean=0.1492, std=2.991, absmax=12.22 +2025-11-04 13:06:44,200 ERROR: Encountered non-finite generator loss at iter 19263; skipping update. +2025-11-04 13:06:44,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:44,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=16.76, mean=0.02516, std=3.432, absmax=16.76 +2025-11-04 13:06:44,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=13.2, mean=0.03277, std=3.166, absmax=13.2 +2025-11-04 13:06:44,560 ERROR: Encountered non-finite generator loss at iter 19264; skipping update. +2025-11-04 13:06:44,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:44,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.04, mean=-0.1293, std=2.728, absmax=12.04 +2025-11-04 13:06:44,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.22, max=11.17, mean=-0.1369, std=2.651, absmax=11.17 +2025-11-04 13:06:44,919 ERROR: Encountered non-finite generator loss at iter 19265; skipping update. +2025-11-04 13:06:44,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:44,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:44,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=13.14, mean=-0.08068, std=2.491, absmax=13.14 +2025-11-04 13:06:44,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.82, mean=-0.04651, std=2.427, absmax=11.82 +2025-11-04 13:06:45,278 ERROR: Encountered non-finite generator loss at iter 19266; skipping update. +2025-11-04 13:06:45,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:45,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:45,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:45,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:45,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.68, mean=-0.03581, std=3.073, absmax=12.68 +2025-11-04 13:06:45,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=11.37, mean=-0.0387, std=2.8, absmax=11.37 +2025-11-04 13:06:45,639 ERROR: Encountered non-finite generator loss at iter 19267; skipping update. +2025-11-04 13:06:45,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:45,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:45,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:45,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:45,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=15.89, mean=-0.0587, std=3.602, absmax=15.89 +2025-11-04 13:06:45,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=15.57, mean=-0.01899, std=3.541, absmax=15.57 +2025-11-04 13:06:45,999 ERROR: Encountered non-finite generator loss at iter 19268; skipping update. +2025-11-04 13:06:46,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:46,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=17.29, mean=0.2145, std=3.764, absmax=17.29 +2025-11-04 13:06:46,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=14.56, mean=0.1982, std=3.54, absmax=14.56 +2025-11-04 13:06:46,358 ERROR: Encountered non-finite generator loss at iter 19269; skipping update. +2025-11-04 13:06:46,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:46,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=10.83, mean=-0.149, std=2.793, absmax=13.62 +2025-11-04 13:06:46,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=9.859, mean=-0.1225, std=2.62, absmax=11.21 +2025-11-04 13:06:46,719 ERROR: Encountered non-finite generator loss at iter 19270; skipping update. +2025-11-04 13:06:46,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:46,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:46,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=11.79, mean=-0.1522, std=2.867, absmax=15.11 +2025-11-04 13:06:46,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.98, max=9.294, mean=-0.1609, std=2.679, absmax=13.98 +2025-11-04 13:06:47,079 ERROR: Encountered non-finite generator loss at iter 19271; skipping update. +2025-11-04 13:06:47,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:47,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=11.79, mean=-0.07214, std=3.024, absmax=13.32 +2025-11-04 13:06:47,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=11.06, mean=-0.03105, std=2.979, absmax=12.32 +2025-11-04 13:06:47,440 ERROR: Encountered non-finite generator loss at iter 19272; skipping update. +2025-11-04 13:06:47,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:47,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=11.21, mean=-0.1555, std=3.38, absmax=13.74 +2025-11-04 13:06:47,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=10.17, mean=-0.1804, std=3.156, absmax=12.46 +2025-11-04 13:06:47,799 ERROR: Encountered non-finite generator loss at iter 19273; skipping update. +2025-11-04 13:06:47,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:47,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:47,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.61, mean=-0.2441, std=3.048, absmax=13.76 +2025-11-04 13:06:47,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=11.06, mean=-0.2354, std=2.866, absmax=13.09 +2025-11-04 13:06:48,158 ERROR: Encountered non-finite generator loss at iter 19274; skipping update. +2025-11-04 13:06:48,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:48,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.59, mean=-0.2977, std=2.779, absmax=12.97 +2025-11-04 13:06:48,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=9.506, mean=-0.2655, std=2.581, absmax=12.08 +2025-11-04 13:06:48,519 ERROR: Encountered non-finite generator loss at iter 19275; skipping update. +2025-11-04 13:06:48,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:48,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=11.37, mean=-0.2437, std=3.074, absmax=13.54 +2025-11-04 13:06:48,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=12.05, mean=-0.2243, std=2.894, absmax=13.28 +2025-11-04 13:06:48,879 ERROR: Encountered non-finite generator loss at iter 19276; skipping update. +2025-11-04 13:06:48,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:48,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:48,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.28, mean=-0.2342, std=3.103, absmax=13.28 +2025-11-04 13:06:48,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=12.41, mean=-0.2166, std=2.817, absmax=12.41 +2025-11-04 13:06:49,239 ERROR: Encountered non-finite generator loss at iter 19277; skipping update. +2025-11-04 13:06:49,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:49,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=15.9, mean=-0.3219, std=3.296, absmax=15.9 +2025-11-04 13:06:49,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=13.03, mean=-0.3587, std=3.11, absmax=13.03 +2025-11-04 13:06:49,598 ERROR: Encountered non-finite generator loss at iter 19278; skipping update. +2025-11-04 13:06:49,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:49,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.64, mean=-0.08572, std=2.846, absmax=14.05 +2025-11-04 13:06:49,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.51, mean=-0.04742, std=2.642, absmax=12.52 +2025-11-04 13:06:49,958 ERROR: Encountered non-finite generator loss at iter 19279; skipping update. +2025-11-04 13:06:49,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:49,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:49,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=9.711, mean=-0.2465, std=2.81, absmax=14.84 +2025-11-04 13:06:49,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=9.555, mean=-0.2547, std=2.677, absmax=12.99 +2025-11-04 13:06:50,318 ERROR: Encountered non-finite generator loss at iter 19280; skipping update. +2025-11-04 13:06:50,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:50,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:50,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:50,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:50,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.49, mean=-0.1715, std=3.294, absmax=13.03 +2025-11-04 13:06:50,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=10.53, mean=-0.152, std=3.047, absmax=12.97 +2025-11-04 13:06:50,678 ERROR: Encountered non-finite generator loss at iter 19281; skipping update. +2025-11-04 13:06:50,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:50,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:50,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:50,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:50,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.34, mean=-0.1384, std=2.723, absmax=13.34 +2025-11-04 13:06:50,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.8, mean=-0.1576, std=2.595, absmax=11.8 +2025-11-04 13:06:51,039 ERROR: Encountered non-finite generator loss at iter 19282; skipping update. +2025-11-04 13:06:51,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:51,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.94, mean=-0.1758, std=3.191, absmax=12.94 +2025-11-04 13:06:51,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.02, mean=-0.1318, std=2.959, absmax=12.02 +2025-11-04 13:06:51,398 ERROR: Encountered non-finite generator loss at iter 19283; skipping update. +2025-11-04 13:06:51,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:51,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=11.04, mean=-0.1985, std=2.837, absmax=12.48 +2025-11-04 13:06:51,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.42, mean=-0.1603, std=2.629, absmax=10.74 +2025-11-04 13:06:51,758 ERROR: Encountered non-finite generator loss at iter 19284; skipping update. +2025-11-04 13:06:51,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:51,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:51,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.77, mean=-0.2363, std=3.056, absmax=13.77 +2025-11-04 13:06:51,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=11.17, mean=-0.184, std=2.87, absmax=11.42 +2025-11-04 13:06:52,118 ERROR: Encountered non-finite generator loss at iter 19285; skipping update. +2025-11-04 13:06:52,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:52,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.39, mean=-0.3309, std=2.978, absmax=12.59 +2025-11-04 13:06:52,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.95, mean=-0.2901, std=2.804, absmax=11.26 +2025-11-04 13:06:52,478 ERROR: Encountered non-finite generator loss at iter 19286; skipping update. +2025-11-04 13:06:52,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:52,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.86, mean=-0.3885, std=2.789, absmax=13.63 +2025-11-04 13:06:52,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=10.45, mean=-0.3374, std=2.59, absmax=11.74 +2025-11-04 13:06:52,838 ERROR: Encountered non-finite generator loss at iter 19287; skipping update. +2025-11-04 13:06:52,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:52,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:52,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.04, mean=0.0059, std=3.006, absmax=13.04 +2025-11-04 13:06:52,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=11.13, mean=0.01545, std=2.752, absmax=11.13 +2025-11-04 13:06:53,199 ERROR: Encountered non-finite generator loss at iter 19288; skipping update. +2025-11-04 13:06:53,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:53,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=10.99, mean=0.01957, std=2.598, absmax=13.45 +2025-11-04 13:06:53,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=9.612, mean=-0.04371, std=2.44, absmax=11.3 +2025-11-04 13:06:53,558 ERROR: Encountered non-finite generator loss at iter 19289; skipping update. +2025-11-04 13:06:53,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:53,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.54, mean=-0.08322, std=2.961, absmax=12.54 +2025-11-04 13:06:53,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=12.03, mean=-0.09552, std=2.743, absmax=12.03 +2025-11-04 13:06:53,918 ERROR: Encountered non-finite generator loss at iter 19290; skipping update. +2025-11-04 13:06:53,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:53,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:53,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=10.62, mean=-0.2595, std=2.366, absmax=11.11 +2025-11-04 13:06:53,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.297, max=9.783, mean=-0.2502, std=2.193, absmax=9.783 +2025-11-04 13:06:54,278 ERROR: Encountered non-finite generator loss at iter 19291; skipping update. +2025-11-04 13:06:54,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:54,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:54,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:54,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:54,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.66, mean=0.0299, std=2.948, absmax=14.66 +2025-11-04 13:06:54,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=13.9, mean=0.01953, std=2.736, absmax=13.9 +2025-11-04 13:06:54,639 ERROR: Encountered non-finite generator loss at iter 19292; skipping update. +2025-11-04 13:06:54,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:54,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:54,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:54,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:54,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=14.14, mean=-0.08303, std=3.041, absmax=14.14 +2025-11-04 13:06:54,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=12.98, mean=-0.08081, std=2.888, absmax=12.98 +2025-11-04 13:06:54,999 ERROR: Encountered non-finite generator loss at iter 19293; skipping update. +2025-11-04 13:06:54,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:55,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.45, mean=-0.04927, std=2.793, absmax=12.45 +2025-11-04 13:06:55,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=11.38, mean=-0.04225, std=2.674, absmax=11.38 +2025-11-04 13:06:55,358 ERROR: Encountered non-finite generator loss at iter 19294; skipping update. +2025-11-04 13:06:55,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:55,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=16.33, mean=-0.07613, std=3.494, absmax=16.33 +2025-11-04 13:06:55,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=14.49, mean=-0.06898, std=3.171, absmax=14.49 +2025-11-04 13:06:55,718 ERROR: Encountered non-finite generator loss at iter 19295; skipping update. +2025-11-04 13:06:55,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:55,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:55,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.75, mean=-0.01774, std=3.137, absmax=12.75 +2025-11-04 13:06:55,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=11.6, mean=-0.03959, std=2.845, absmax=11.6 +2025-11-04 13:06:56,079 ERROR: Encountered non-finite generator loss at iter 19296; skipping update. +2025-11-04 13:06:56,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:56,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.71, mean=0.0285, std=3.399, absmax=12.73 +2025-11-04 13:06:56,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.34, mean=0.01709, std=3.14, absmax=12.34 +2025-11-04 13:06:56,439 ERROR: Encountered non-finite generator loss at iter 19297; skipping update. +2025-11-04 13:06:56,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:56,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.9, mean=-0.2055, std=3.261, absmax=12.9 +2025-11-04 13:06:56,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=11.85, mean=-0.1984, std=2.962, absmax=11.85 +2025-11-04 13:06:56,799 ERROR: Encountered non-finite generator loss at iter 19298; skipping update. +2025-11-04 13:06:56,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:56,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:56,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.83, mean=-0.203, std=2.853, absmax=13.08 +2025-11-04 13:06:56,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.25, mean=-0.1754, std=2.642, absmax=11.25 +2025-11-04 13:06:57,158 ERROR: Encountered non-finite generator loss at iter 19299; skipping update. +2025-11-04 13:06:57,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:57,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.83, mean=-0.2689, std=3.062, absmax=12.83 +2025-11-04 13:06:57,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=11.58, mean=-0.2328, std=2.908, absmax=11.58 +2025-11-04 13:06:57,518 ERROR: Encountered non-finite generator loss at iter 19300; skipping update. +2025-11-04 13:06:57,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:57,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=9.934, mean=-0.2794, std=2.503, absmax=11.32 +2025-11-04 13:06:57,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=9.826, mean=-0.2419, std=2.39, absmax=10 +2025-11-04 13:06:57,522 INFO: [38..][epoch: 0, step: 19,300, lr:(2.000e-04,)] [eta: 1 day, 9:33:48, time (data): 0.360 (0.000)] +2025-11-04 13:06:57,877 ERROR: Encountered non-finite generator loss at iter 19301; skipping update. +2025-11-04 13:06:57,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:57,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:57,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.11, mean=-0.2163, std=3.623, absmax=13.16 +2025-11-04 13:06:57,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=11.17, mean=-0.1944, std=3.369, absmax=13.07 +2025-11-04 13:06:58,237 ERROR: Encountered non-finite generator loss at iter 19302; skipping update. +2025-11-04 13:06:58,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:58,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.56, mean=-0.245, std=3.189, absmax=13.1 +2025-11-04 13:06:58,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=8.996, mean=-0.2408, std=2.837, absmax=11.84 +2025-11-04 13:06:58,598 ERROR: Encountered non-finite generator loss at iter 19303; skipping update. +2025-11-04 13:06:58,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:58,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=17.56, mean=-0.008919, std=3.217, absmax=17.56 +2025-11-04 13:06:58,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.12, mean=0.008653, std=3.036, absmax=12.21 +2025-11-04 13:06:58,958 ERROR: Encountered non-finite generator loss at iter 19304; skipping update. +2025-11-04 13:06:58,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:58,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:58,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=17.53, mean=-0.1233, std=2.915, absmax=17.53 +2025-11-04 13:06:58,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=14.03, mean=-0.09695, std=2.649, absmax=14.03 +2025-11-04 13:06:59,318 ERROR: Encountered non-finite generator loss at iter 19305; skipping update. +2025-11-04 13:06:59,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:59,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:59,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:59,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:59,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=15.72, mean=-0.1908, std=2.885, absmax=15.72 +2025-11-04 13:06:59,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=13.57, mean=-0.2003, std=2.579, absmax=13.57 +2025-11-04 13:06:59,677 ERROR: Encountered non-finite generator loss at iter 19306; skipping update. +2025-11-04 13:06:59,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:59,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:06:59,679 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:06:59,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:06:59,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.06, mean=-0.1208, std=2.695, absmax=14.06 +2025-11-04 13:06:59,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=11.14, mean=-0.1079, std=2.506, absmax=11.92 +2025-11-04 13:07:00,038 ERROR: Encountered non-finite generator loss at iter 19307; skipping update. +2025-11-04 13:07:00,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:00,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.74, mean=-0.2581, std=2.753, absmax=12.74 +2025-11-04 13:07:00,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=9.544, mean=-0.2427, std=2.516, absmax=10.11 +2025-11-04 13:07:00,399 ERROR: Encountered non-finite generator loss at iter 19308; skipping update. +2025-11-04 13:07:00,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:00,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=14.23, mean=-0.1156, std=2.824, absmax=14.73 +2025-11-04 13:07:00,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=10.77, mean=-0.09109, std=2.67, absmax=10.94 +2025-11-04 13:07:00,758 ERROR: Encountered non-finite generator loss at iter 19309; skipping update. +2025-11-04 13:07:00,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:00,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:00,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=12.24, mean=-0.1946, std=2.974, absmax=13.89 +2025-11-04 13:07:00,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=10.3, mean=-0.205, std=2.744, absmax=12.52 +2025-11-04 13:07:01,118 ERROR: Encountered non-finite generator loss at iter 19310; skipping update. +2025-11-04 13:07:01,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:01,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=14.51, mean=-0.3363, std=3.123, absmax=14.51 +2025-11-04 13:07:01,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=11.73, mean=-0.3001, std=2.918, absmax=12.45 +2025-11-04 13:07:01,479 ERROR: Encountered non-finite generator loss at iter 19311; skipping update. +2025-11-04 13:07:01,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:01,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=10.44, mean=-0.2263, std=2.337, absmax=10.78 +2025-11-04 13:07:01,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.877, max=10.42, mean=-0.2012, std=2.178, absmax=10.42 +2025-11-04 13:07:01,839 ERROR: Encountered non-finite generator loss at iter 19312; skipping update. +2025-11-04 13:07:01,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:01,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:01,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.07, mean=-0.1946, std=2.678, absmax=13.07 +2025-11-04 13:07:01,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=10.94, mean=-0.1579, std=2.509, absmax=11.64 +2025-11-04 13:07:02,199 ERROR: Encountered non-finite generator loss at iter 19313; skipping update. +2025-11-04 13:07:02,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:02,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.59, mean=0.07982, std=3.347, absmax=12.59 +2025-11-04 13:07:02,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=12.46, mean=0.09921, std=3.157, absmax=13.34 +2025-11-04 13:07:02,558 ERROR: Encountered non-finite generator loss at iter 19314; skipping update. +2025-11-04 13:07:02,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:02,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.52, mean=-0.1414, std=2.605, absmax=12.52 +2025-11-04 13:07:02,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=12.77, mean=-0.1762, std=2.553, absmax=12.77 +2025-11-04 13:07:02,918 ERROR: Encountered non-finite generator loss at iter 19315; skipping update. +2025-11-04 13:07:02,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:02,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:02,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.42, mean=-0.276, std=3.009, absmax=13.67 +2025-11-04 13:07:02,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=9.706, mean=-0.2693, std=2.741, absmax=11.12 +2025-11-04 13:07:03,278 ERROR: Encountered non-finite generator loss at iter 19316; skipping update. +2025-11-04 13:07:03,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:03,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:03,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:03,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:03,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=15.34, mean=-0.1513, std=3.404, absmax=15.34 +2025-11-04 13:07:03,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=12.57, mean=-0.1732, std=3.044, absmax=12.57 +2025-11-04 13:07:03,638 ERROR: Encountered non-finite generator loss at iter 19317; skipping update. +2025-11-04 13:07:03,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:03,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:03,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:03,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:03,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14, mean=-0.02277, std=3.112, absmax=14 +2025-11-04 13:07:03,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.66, mean=-0.006014, std=2.902, absmax=11.66 +2025-11-04 13:07:03,998 ERROR: Encountered non-finite generator loss at iter 19318; skipping update. +2025-11-04 13:07:03,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:04,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.01, mean=-0.2169, std=3.065, absmax=13.39 +2025-11-04 13:07:04,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=10.03, mean=-0.184, std=2.832, absmax=12.74 +2025-11-04 13:07:04,358 ERROR: Encountered non-finite generator loss at iter 19319; skipping update. +2025-11-04 13:07:04,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:04,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=12, mean=-0.3078, std=2.694, absmax=12 +2025-11-04 13:07:04,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.16, mean=-0.2393, std=2.567, absmax=10.74 +2025-11-04 13:07:04,718 ERROR: Encountered non-finite generator loss at iter 19320; skipping update. +2025-11-04 13:07:04,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:04,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:04,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=15.32, mean=-0.3064, std=3.067, absmax=15.32 +2025-11-04 13:07:04,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=13.32, mean=-0.3033, std=2.819, absmax=13.32 +2025-11-04 13:07:05,077 ERROR: Encountered non-finite generator loss at iter 19321; skipping update. +2025-11-04 13:07:05,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:05,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.35, mean=-0.2502, std=3.206, absmax=14.35 +2025-11-04 13:07:05,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=13.77, mean=-0.2001, std=3.019, absmax=13.77 +2025-11-04 13:07:05,437 ERROR: Encountered non-finite generator loss at iter 19322; skipping update. +2025-11-04 13:07:05,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:05,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.56, mean=-0.08468, std=2.93, absmax=13.56 +2025-11-04 13:07:05,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=12.3, mean=-0.09344, std=2.793, absmax=12.46 +2025-11-04 13:07:05,797 ERROR: Encountered non-finite generator loss at iter 19323; skipping update. +2025-11-04 13:07:05,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:05,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:05,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.77, mean=-0.006234, std=3.566, absmax=14.77 +2025-11-04 13:07:05,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=14.4, mean=-0.02695, std=3.279, absmax=14.4 +2025-11-04 13:07:06,158 ERROR: Encountered non-finite generator loss at iter 19324; skipping update. +2025-11-04 13:07:06,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:06,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.05, mean=-0.1214, std=3.028, absmax=14.05 +2025-11-04 13:07:06,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=12.92, mean=-0.1341, std=2.807, absmax=12.92 +2025-11-04 13:07:06,519 ERROR: Encountered non-finite generator loss at iter 19325; skipping update. +2025-11-04 13:07:06,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:06,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.34, mean=-0.1074, std=3.169, absmax=14.34 +2025-11-04 13:07:06,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=12.98, mean=-0.09571, std=2.972, absmax=12.98 +2025-11-04 13:07:06,878 ERROR: Encountered non-finite generator loss at iter 19326; skipping update. +2025-11-04 13:07:06,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:06,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:06,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.51, mean=-0.2246, std=2.898, absmax=13.51 +2025-11-04 13:07:06,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.66, mean=-0.1781, std=2.672, absmax=11.66 +2025-11-04 13:07:07,238 ERROR: Encountered non-finite generator loss at iter 19327; skipping update. +2025-11-04 13:07:07,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:07,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=17.31, mean=-0.1424, std=3.484, absmax=17.31 +2025-11-04 13:07:07,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=13.43, mean=-0.1474, std=3.128, absmax=13.43 +2025-11-04 13:07:07,598 ERROR: Encountered non-finite generator loss at iter 19328; skipping update. +2025-11-04 13:07:07,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:07,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=15.23, mean=-0.2108, std=2.59, absmax=15.23 +2025-11-04 13:07:07,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=14.7, mean=-0.2024, std=2.411, absmax=14.7 +2025-11-04 13:07:07,958 ERROR: Encountered non-finite generator loss at iter 19329; skipping update. +2025-11-04 13:07:07,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:07,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:07,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.61, mean=-0.07347, std=2.748, absmax=11.89 +2025-11-04 13:07:07,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.907, max=10.14, mean=-0.07619, std=2.518, absmax=10.14 +2025-11-04 13:07:08,319 ERROR: Encountered non-finite generator loss at iter 19330; skipping update. +2025-11-04 13:07:08,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:08,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:08,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:08,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:08,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.55, max=14.46, mean=-0.1655, std=2.937, absmax=17.55 +2025-11-04 13:07:08,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.12, max=12.71, mean=-0.176, std=2.703, absmax=15.12 +2025-11-04 13:07:08,679 ERROR: Encountered non-finite generator loss at iter 19331; skipping update. +2025-11-04 13:07:08,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:08,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:08,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:08,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:08,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=11.22, mean=-0.1873, std=2.709, absmax=11.79 +2025-11-04 13:07:08,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=11.03, mean=-0.1421, std=2.582, absmax=11.03 +2025-11-04 13:07:09,039 ERROR: Encountered non-finite generator loss at iter 19332; skipping update. +2025-11-04 13:07:09,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:09,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.41, mean=-0.2512, std=2.987, absmax=13.41 +2025-11-04 13:07:09,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.5, mean=-0.2198, std=2.869, absmax=11.5 +2025-11-04 13:07:09,398 ERROR: Encountered non-finite generator loss at iter 19333; skipping update. +2025-11-04 13:07:09,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:09,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.13, mean=-0.3107, std=2.729, absmax=12.89 +2025-11-04 13:07:09,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=13.5, mean=-0.2503, std=2.679, absmax=13.5 +2025-11-04 13:07:09,758 ERROR: Encountered non-finite generator loss at iter 19334; skipping update. +2025-11-04 13:07:09,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:09,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:09,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=11.92, mean=-0.1875, std=3.238, absmax=13.88 +2025-11-04 13:07:09,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.57, mean=-0.163, std=2.919, absmax=12.34 +2025-11-04 13:07:10,118 ERROR: Encountered non-finite generator loss at iter 19335; skipping update. +2025-11-04 13:07:10,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:10,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=10.3, mean=-0.2445, std=2.75, absmax=13.03 +2025-11-04 13:07:10,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=10.49, mean=-0.2587, std=2.616, absmax=12.34 +2025-11-04 13:07:10,478 ERROR: Encountered non-finite generator loss at iter 19336; skipping update. +2025-11-04 13:07:10,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:10,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=12.14, mean=-0.1715, std=2.545, absmax=14.1 +2025-11-04 13:07:10,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=10.52, mean=-0.1678, std=2.356, absmax=12.84 +2025-11-04 13:07:10,838 ERROR: Encountered non-finite generator loss at iter 19337; skipping update. +2025-11-04 13:07:10,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:10,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:10,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=9.683, mean=-0.2645, std=2.347, absmax=11.51 +2025-11-04 13:07:10,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=8.451, mean=-0.2282, std=2.215, absmax=10.36 +2025-11-04 13:07:11,198 ERROR: Encountered non-finite generator loss at iter 19338; skipping update. +2025-11-04 13:07:11,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:11,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.25, mean=-0.1218, std=2.848, absmax=14.25 +2025-11-04 13:07:11,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.22, max=13.07, mean=-0.1179, std=2.644, absmax=13.07 +2025-11-04 13:07:11,558 ERROR: Encountered non-finite generator loss at iter 19339; skipping update. +2025-11-04 13:07:11,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:11,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=16.88, mean=-0.1178, std=3.147, absmax=16.88 +2025-11-04 13:07:11,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=14.39, mean=-0.1206, std=2.929, absmax=14.39 +2025-11-04 13:07:11,918 ERROR: Encountered non-finite generator loss at iter 19340; skipping update. +2025-11-04 13:07:11,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:11,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:11,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.85, max=15.94, mean=-0.2773, std=3.28, absmax=18.85 +2025-11-04 13:07:11,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.14, max=13.46, mean=-0.2861, std=2.931, absmax=16.14 +2025-11-04 13:07:12,278 ERROR: Encountered non-finite generator loss at iter 19341; skipping update. +2025-11-04 13:07:12,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:12,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=16.44, mean=-0.1333, std=3.316, absmax=16.44 +2025-11-04 13:07:12,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=13.71, mean=-0.09873, std=3.009, absmax=13.71 +2025-11-04 13:07:12,638 ERROR: Encountered non-finite generator loss at iter 19342; skipping update. +2025-11-04 13:07:12,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:12,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.03, mean=-0.2508, std=2.797, absmax=14.03 +2025-11-04 13:07:12,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=10.25, mean=-0.2438, std=2.601, absmax=10.44 +2025-11-04 13:07:12,997 ERROR: Encountered non-finite generator loss at iter 19343; skipping update. +2025-11-04 13:07:12,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:12,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:13,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=11.7, mean=-0.2282, std=2.696, absmax=12.23 +2025-11-04 13:07:13,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=11.68, mean=-0.2163, std=2.548, absmax=11.68 +2025-11-04 13:07:13,357 ERROR: Encountered non-finite generator loss at iter 19344; skipping update. +2025-11-04 13:07:13,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:13,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:13,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:13,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:13,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=10.37, mean=-0.1001, std=2.619, absmax=14.81 +2025-11-04 13:07:13,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=9.666, mean=-0.1159, std=2.484, absmax=13.22 +2025-11-04 13:07:13,717 ERROR: Encountered non-finite generator loss at iter 19345; skipping update. +2025-11-04 13:07:13,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:13,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:13,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:13,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:13,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.67, mean=-0.1391, std=3.035, absmax=13.65 +2025-11-04 13:07:13,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=14.69, mean=-0.1784, std=2.755, absmax=14.69 +2025-11-04 13:07:14,077 ERROR: Encountered non-finite generator loss at iter 19346; skipping update. +2025-11-04 13:07:14,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:14,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.84, mean=-0.0794, std=3.17, absmax=15.84 +2025-11-04 13:07:14,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=14.22, mean=-0.05489, std=2.997, absmax=14.22 +2025-11-04 13:07:14,438 ERROR: Encountered non-finite generator loss at iter 19347; skipping update. +2025-11-04 13:07:14,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:14,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=11.86, mean=-0.1677, std=2.794, absmax=12.06 +2025-11-04 13:07:14,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=9.84, mean=-0.1792, std=2.495, absmax=10.57 +2025-11-04 13:07:14,800 ERROR: Encountered non-finite generator loss at iter 19348; skipping update. +2025-11-04 13:07:14,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:14,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:14,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=15.21, mean=-0.06112, std=3.724, absmax=15.21 +2025-11-04 13:07:14,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=13.07, mean=-0.02754, std=3.439, absmax=13.07 +2025-11-04 13:07:15,159 ERROR: Encountered non-finite generator loss at iter 19349; skipping update. +2025-11-04 13:07:15,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:15,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.61, max=11.26, mean=-0.1967, std=2.446, absmax=11.26 +2025-11-04 13:07:15,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.26, mean=-0.2178, std=2.382, absmax=10.51 +2025-11-04 13:07:15,519 ERROR: Encountered non-finite generator loss at iter 19350; skipping update. +2025-11-04 13:07:15,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:15,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.66, mean=-0.1574, std=3.302, absmax=12.66 +2025-11-04 13:07:15,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.93, mean=-0.1868, std=2.998, absmax=11.16 +2025-11-04 13:07:15,878 ERROR: Encountered non-finite generator loss at iter 19351; skipping update. +2025-11-04 13:07:15,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:15,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:15,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.91, mean=-0.3175, std=2.572, absmax=13.21 +2025-11-04 13:07:15,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.66, mean=-0.2956, std=2.419, absmax=11.37 +2025-11-04 13:07:16,239 ERROR: Encountered non-finite generator loss at iter 19352; skipping update. +2025-11-04 13:07:16,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:16,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=12.19, mean=-0.1385, std=3.317, absmax=12.42 +2025-11-04 13:07:16,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=11.05, mean=-0.0881, std=3.038, absmax=11.48 +2025-11-04 13:07:16,598 ERROR: Encountered non-finite generator loss at iter 19353; skipping update. +2025-11-04 13:07:16,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:16,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=16.74, mean=-0.2703, std=3.374, absmax=16.74 +2025-11-04 13:07:16,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=13.53, mean=-0.2485, std=3.117, absmax=13.53 +2025-11-04 13:07:16,957 ERROR: Encountered non-finite generator loss at iter 19354; skipping update. +2025-11-04 13:07:16,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:16,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:16,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.24, mean=0.01607, std=3.353, absmax=12.24 +2025-11-04 13:07:16,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.19, mean=0.03444, std=3.102, absmax=11.19 +2025-11-04 13:07:17,317 ERROR: Encountered non-finite generator loss at iter 19355; skipping update. +2025-11-04 13:07:17,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:17,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:17,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:17,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:17,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.75, mean=-0.263, std=2.514, absmax=13.75 +2025-11-04 13:07:17,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=11.38, mean=-0.2299, std=2.368, absmax=11.71 +2025-11-04 13:07:17,677 ERROR: Encountered non-finite generator loss at iter 19356; skipping update. +2025-11-04 13:07:17,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:17,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:17,679 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:17,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:17,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=10.7, mean=-0.134, std=2.533, absmax=14.01 +2025-11-04 13:07:17,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=9.479, mean=-0.1408, std=2.358, absmax=12.4 +2025-11-04 13:07:18,038 ERROR: Encountered non-finite generator loss at iter 19357; skipping update. +2025-11-04 13:07:18,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:18,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.88, mean=0.02456, std=3.313, absmax=13.88 +2025-11-04 13:07:18,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.91, mean=0.0418, std=3.092, absmax=12.91 +2025-11-04 13:07:18,398 ERROR: Encountered non-finite generator loss at iter 19358; skipping update. +2025-11-04 13:07:18,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:18,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=11.68, mean=-0.1336, std=2.877, absmax=13.34 +2025-11-04 13:07:18,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.58, mean=-0.1165, std=2.744, absmax=11.5 +2025-11-04 13:07:18,758 ERROR: Encountered non-finite generator loss at iter 19359; skipping update. +2025-11-04 13:07:18,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:18,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:18,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=10.97, mean=-0.1431, std=2.754, absmax=13.35 +2025-11-04 13:07:18,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=9.409, mean=-0.06607, std=2.684, absmax=12.11 +2025-11-04 13:07:19,119 ERROR: Encountered non-finite generator loss at iter 19360; skipping update. +2025-11-04 13:07:19,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:19,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.32, mean=-0.08543, std=3.329, absmax=13.61 +2025-11-04 13:07:19,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.36, mean=-0.0327, std=3.197, absmax=12.36 +2025-11-04 13:07:19,478 ERROR: Encountered non-finite generator loss at iter 19361; skipping update. +2025-11-04 13:07:19,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:19,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.8, mean=-0.258, std=2.847, absmax=14.8 +2025-11-04 13:07:19,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=13.69, mean=-0.2068, std=2.672, absmax=13.69 +2025-11-04 13:07:19,839 ERROR: Encountered non-finite generator loss at iter 19362; skipping update. +2025-11-04 13:07:19,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:19,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:19,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.19, max=15.26, mean=-0.347, std=3.033, absmax=17.19 +2025-11-04 13:07:19,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.97, max=12.29, mean=-0.3334, std=2.811, absmax=15.97 +2025-11-04 13:07:20,201 ERROR: Encountered non-finite generator loss at iter 19363; skipping update. +2025-11-04 13:07:20,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:20,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=15.79, mean=0.01942, std=3.427, absmax=15.79 +2025-11-04 13:07:20,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=15, mean=0.03192, std=3.155, absmax=15 +2025-11-04 13:07:20,562 ERROR: Encountered non-finite generator loss at iter 19364; skipping update. +2025-11-04 13:07:20,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:20,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=9.552, mean=-0.3543, std=2.919, absmax=12.23 +2025-11-04 13:07:20,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=8.824, mean=-0.3753, std=2.726, absmax=11.92 +2025-11-04 13:07:20,922 ERROR: Encountered non-finite generator loss at iter 19365; skipping update. +2025-11-04 13:07:20,923 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:20,924 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:20,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=15.26, mean=-0.1204, std=3.487, absmax=15.26 +2025-11-04 13:07:20,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.95, mean=-0.1124, std=3.245, absmax=13.03 +2025-11-04 13:07:21,281 ERROR: Encountered non-finite generator loss at iter 19366; skipping update. +2025-11-04 13:07:21,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:21,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:21,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:21,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:21,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=12, mean=-0.2228, std=2.87, absmax=14.22 +2025-11-04 13:07:21,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=11.52, mean=-0.2078, std=2.696, absmax=11.68 +2025-11-04 13:07:21,641 ERROR: Encountered non-finite generator loss at iter 19367; skipping update. +2025-11-04 13:07:21,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:21,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:21,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:21,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:21,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.45, mean=-0.2969, std=3.221, absmax=14.45 +2025-11-04 13:07:21,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=13.01, mean=-0.2514, std=2.987, absmax=13.01 +2025-11-04 13:07:22,001 ERROR: Encountered non-finite generator loss at iter 19368; skipping update. +2025-11-04 13:07:22,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:22,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.42, mean=-0.07371, std=2.602, absmax=12.42 +2025-11-04 13:07:22,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.8, mean=-0.1082, std=2.424, absmax=10.8 +2025-11-04 13:07:22,360 ERROR: Encountered non-finite generator loss at iter 19369; skipping update. +2025-11-04 13:07:22,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:22,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.35, mean=-0.1009, std=3.236, absmax=13.35 +2025-11-04 13:07:22,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=12.44, mean=-0.1142, std=2.991, absmax=12.44 +2025-11-04 13:07:22,719 ERROR: Encountered non-finite generator loss at iter 19370; skipping update. +2025-11-04 13:07:22,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:22,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:22,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=17.21, mean=-0.1816, std=2.752, absmax=17.21 +2025-11-04 13:07:22,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=12.05, mean=-0.1986, std=2.555, absmax=12.05 +2025-11-04 13:07:23,079 ERROR: Encountered non-finite generator loss at iter 19371; skipping update. +2025-11-04 13:07:23,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:23,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.12, mean=-0.142, std=3.136, absmax=13.62 +2025-11-04 13:07:23,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.97, mean=-0.1604, std=2.834, absmax=11.86 +2025-11-04 13:07:23,439 ERROR: Encountered non-finite generator loss at iter 19372; skipping update. +2025-11-04 13:07:23,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:23,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=10.71, mean=-0.3024, std=2.571, absmax=12.27 +2025-11-04 13:07:23,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=10.75, mean=-0.2812, std=2.413, absmax=10.77 +2025-11-04 13:07:23,798 ERROR: Encountered non-finite generator loss at iter 19373; skipping update. +2025-11-04 13:07:23,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:23,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:23,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=14.15, mean=0.06191, std=3.201, absmax=14.15 +2025-11-04 13:07:23,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=12.4, mean=0.06922, std=2.906, absmax=12.4 +2025-11-04 13:07:24,159 ERROR: Encountered non-finite generator loss at iter 19374; skipping update. +2025-11-04 13:07:24,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:24,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.12, mean=-0.2002, std=3.28, absmax=12.54 +2025-11-04 13:07:24,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=10.83, mean=-0.1533, std=2.967, absmax=10.83 +2025-11-04 13:07:24,518 ERROR: Encountered non-finite generator loss at iter 19375; skipping update. +2025-11-04 13:07:24,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:24,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.16, mean=-0.06042, std=2.623, absmax=12.16 +2025-11-04 13:07:24,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=10.6, mean=-0.07021, std=2.413, absmax=10.6 +2025-11-04 13:07:24,879 ERROR: Encountered non-finite generator loss at iter 19376; skipping update. +2025-11-04 13:07:24,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:24,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:24,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=14.53, mean=-0.2278, std=2.922, absmax=14.53 +2025-11-04 13:07:24,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=10.95, mean=-0.2029, std=2.601, absmax=11.09 +2025-11-04 13:07:25,239 ERROR: Encountered non-finite generator loss at iter 19377; skipping update. +2025-11-04 13:07:25,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:25,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=10.68, mean=-0.1714, std=2.471, absmax=11.68 +2025-11-04 13:07:25,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.885, max=10.68, mean=-0.1271, std=2.401, absmax=10.68 +2025-11-04 13:07:25,598 ERROR: Encountered non-finite generator loss at iter 19378; skipping update. +2025-11-04 13:07:25,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:25,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.48, mean=0.03731, std=3.147, absmax=13.48 +2025-11-04 13:07:25,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.56, mean=0.06038, std=2.859, absmax=11.39 +2025-11-04 13:07:25,961 ERROR: Encountered non-finite generator loss at iter 19379; skipping update. +2025-11-04 13:07:25,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:25,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:25,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.55, max=17.43, mean=-0.03142, std=3.074, absmax=17.43 +2025-11-04 13:07:25,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.12, mean=-0.04458, std=2.802, absmax=12.12 +2025-11-04 13:07:26,322 ERROR: Encountered non-finite generator loss at iter 19380; skipping update. +2025-11-04 13:07:26,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:26,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:26,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:26,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:26,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=10.96, mean=-0.1447, std=2.732, absmax=12.4 +2025-11-04 13:07:26,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=9.607, mean=-0.1226, std=2.631, absmax=12.57 +2025-11-04 13:07:26,681 ERROR: Encountered non-finite generator loss at iter 19381; skipping update. +2025-11-04 13:07:26,682 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:26,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:26,683 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:26,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:26,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=16.96, mean=-0.215, std=3.013, absmax=16.96 +2025-11-04 13:07:26,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=14.39, mean=-0.1841, std=2.712, absmax=14.39 +2025-11-04 13:07:27,041 ERROR: Encountered non-finite generator loss at iter 19382; skipping update. +2025-11-04 13:07:27,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:27,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.75, mean=-0.01853, std=2.913, absmax=13.75 +2025-11-04 13:07:27,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=11.87, mean=-0.01675, std=2.695, absmax=11.87 +2025-11-04 13:07:27,401 ERROR: Encountered non-finite generator loss at iter 19383; skipping update. +2025-11-04 13:07:27,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,403 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:27,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=16.1, mean=0.1812, std=3.776, absmax=16.1 +2025-11-04 13:07:27,404 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=14.93, mean=0.1569, std=3.636, absmax=14.93 +2025-11-04 13:07:27,761 ERROR: Encountered non-finite generator loss at iter 19384; skipping update. +2025-11-04 13:07:27,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:27,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:27,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.23, mean=-0.211, std=2.764, absmax=12.26 +2025-11-04 13:07:27,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=10.09, mean=-0.1966, std=2.447, absmax=10.78 +2025-11-04 13:07:28,120 ERROR: Encountered non-finite generator loss at iter 19385; skipping update. +2025-11-04 13:07:28,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:28,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.38, mean=-0.2663, std=3.05, absmax=13.38 +2025-11-04 13:07:28,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=10.45, mean=-0.2499, std=2.906, absmax=12.06 +2025-11-04 13:07:28,480 ERROR: Encountered non-finite generator loss at iter 19386; skipping update. +2025-11-04 13:07:28,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:28,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.78, mean=-0.3429, std=3.248, absmax=14.78 +2025-11-04 13:07:28,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=13.61, mean=-0.3304, std=3.084, absmax=13.61 +2025-11-04 13:07:28,839 ERROR: Encountered non-finite generator loss at iter 19387; skipping update. +2025-11-04 13:07:28,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:28,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:28,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.15, mean=-0.168, std=2.98, absmax=14.15 +2025-11-04 13:07:28,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.42, mean=-0.1879, std=2.765, absmax=12.42 +2025-11-04 13:07:29,198 ERROR: Encountered non-finite generator loss at iter 19388; skipping update. +2025-11-04 13:07:29,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:29,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.68, mean=-0.1978, std=3.063, absmax=12.69 +2025-11-04 13:07:29,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=10.24, mean=-0.1549, std=2.777, absmax=11.22 +2025-11-04 13:07:29,558 ERROR: Encountered non-finite generator loss at iter 19389; skipping update. +2025-11-04 13:07:29,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:29,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=20, mean=-0.1728, std=3.302, absmax=20 +2025-11-04 13:07:29,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=15.64, mean=-0.171, std=3.004, absmax=15.64 +2025-11-04 13:07:29,918 ERROR: Encountered non-finite generator loss at iter 19390; skipping update. +2025-11-04 13:07:29,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:29,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:29,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.01, mean=-0.1658, std=2.762, absmax=12.48 +2025-11-04 13:07:29,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=9.891, mean=-0.1339, std=2.583, absmax=11.08 +2025-11-04 13:07:30,279 ERROR: Encountered non-finite generator loss at iter 19391; skipping update. +2025-11-04 13:07:30,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:30,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:30,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:30,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:30,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.01, mean=-0.3208, std=2.759, absmax=12.01 +2025-11-04 13:07:30,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.84, mean=-0.2655, std=2.679, absmax=11.28 +2025-11-04 13:07:30,639 ERROR: Encountered non-finite generator loss at iter 19392; skipping update. +2025-11-04 13:07:30,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:30,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:30,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:30,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:30,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13, mean=-0.229, std=3.054, absmax=13 +2025-11-04 13:07:30,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=11.38, mean=-0.2145, std=2.755, absmax=11.38 +2025-11-04 13:07:30,998 ERROR: Encountered non-finite generator loss at iter 19393; skipping update. +2025-11-04 13:07:30,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:31,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.01, mean=-0.2307, std=3.016, absmax=13.01 +2025-11-04 13:07:31,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.69, mean=-0.2149, std=2.784, absmax=11.69 +2025-11-04 13:07:31,358 ERROR: Encountered non-finite generator loss at iter 19394; skipping update. +2025-11-04 13:07:31,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:31,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=10.27, mean=-0.2153, std=2.626, absmax=12.04 +2025-11-04 13:07:31,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.33, mean=-0.1878, std=2.509, absmax=10.9 +2025-11-04 13:07:31,718 ERROR: Encountered non-finite generator loss at iter 19395; skipping update. +2025-11-04 13:07:31,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:31,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:31,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=18.04, mean=-0.0436, std=3.283, absmax=18.04 +2025-11-04 13:07:31,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=15.61, mean=-0.1034, std=2.996, absmax=15.61 +2025-11-04 13:07:32,079 ERROR: Encountered non-finite generator loss at iter 19396; skipping update. +2025-11-04 13:07:32,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:32,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.99, mean=0.06406, std=3.111, absmax=13.05 +2025-11-04 13:07:32,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=11.67, mean=0.04727, std=2.868, absmax=12.72 +2025-11-04 13:07:32,439 ERROR: Encountered non-finite generator loss at iter 19397; skipping update. +2025-11-04 13:07:32,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:32,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.84, mean=-0.04187, std=2.822, absmax=13.84 +2025-11-04 13:07:32,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=12.26, mean=-0.04566, std=2.662, absmax=12.26 +2025-11-04 13:07:32,798 ERROR: Encountered non-finite generator loss at iter 19398; skipping update. +2025-11-04 13:07:32,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:32,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:32,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.12, mean=-0.1984, std=3.318, absmax=14.12 +2025-11-04 13:07:32,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=11.88, mean=-0.1823, std=2.956, absmax=12.77 +2025-11-04 13:07:33,158 ERROR: Encountered non-finite generator loss at iter 19399; skipping update. +2025-11-04 13:07:33,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:33,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.69, mean=-0.09183, std=2.86, absmax=12.71 +2025-11-04 13:07:33,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.49, mean=-0.06439, std=2.669, absmax=12.49 +2025-11-04 13:07:33,518 ERROR: Encountered non-finite generator loss at iter 19400; skipping update. +2025-11-04 13:07:33,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:33,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=9.787, mean=-0.1669, std=2.461, absmax=12.27 +2025-11-04 13:07:33,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=9.915, mean=-0.1081, std=2.319, absmax=10.74 +2025-11-04 13:07:33,523 INFO: [38..][epoch: 0, step: 19,400, lr:(2.000e-04,)] [eta: 1 day, 9:24:47, time (data): 0.360 (0.000)] +2025-11-04 13:07:33,879 ERROR: Encountered non-finite generator loss at iter 19401; skipping update. +2025-11-04 13:07:33,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:33,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:33,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.64, mean=0.000131, std=3.301, absmax=14.64 +2025-11-04 13:07:33,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=14, mean=0.004067, std=3.073, absmax=14 +2025-11-04 13:07:34,239 ERROR: Encountered non-finite generator loss at iter 19402; skipping update. +2025-11-04 13:07:34,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:34,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=13.75, mean=-0.0661, std=3.162, absmax=15.17 +2025-11-04 13:07:34,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=11.97, mean=-0.1194, std=2.889, absmax=14.03 +2025-11-04 13:07:34,599 ERROR: Encountered non-finite generator loss at iter 19403; skipping update. +2025-11-04 13:07:34,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:34,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.49, mean=-0.1652, std=2.376, absmax=12.49 +2025-11-04 13:07:34,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=10.21, mean=-0.1781, std=2.152, absmax=10.21 +2025-11-04 13:07:34,959 ERROR: Encountered non-finite generator loss at iter 19404; skipping update. +2025-11-04 13:07:34,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:34,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:34,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.95, mean=-0.1867, std=2.636, absmax=11.3 +2025-11-04 13:07:34,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.505, max=8.495, mean=-0.1739, std=2.551, absmax=9.505 +2025-11-04 13:07:35,318 ERROR: Encountered non-finite generator loss at iter 19405; skipping update. +2025-11-04 13:07:35,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:35,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:35,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:35,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:35,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.83, mean=-0.2416, std=3.101, absmax=12.83 +2025-11-04 13:07:35,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=11.98, mean=-0.1917, std=2.935, absmax=11.98 +2025-11-04 13:07:35,678 ERROR: Encountered non-finite generator loss at iter 19406; skipping update. +2025-11-04 13:07:35,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:35,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:35,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:35,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:35,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.83, mean=-0.02402, std=3.285, absmax=13.83 +2025-11-04 13:07:35,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.15, mean=-0.0009384, std=2.967, absmax=12.15 +2025-11-04 13:07:36,038 ERROR: Encountered non-finite generator loss at iter 19407; skipping update. +2025-11-04 13:07:36,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:36,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=12.01, mean=-0.2644, std=2.628, absmax=12.01 +2025-11-04 13:07:36,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.67, mean=-0.2303, std=2.465, absmax=10.83 +2025-11-04 13:07:36,399 ERROR: Encountered non-finite generator loss at iter 19408; skipping update. +2025-11-04 13:07:36,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:36,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=16.89, mean=-0.2383, std=3.433, absmax=16.89 +2025-11-04 13:07:36,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=14.41, mean=-0.1743, std=3.135, absmax=14.41 +2025-11-04 13:07:36,759 ERROR: Encountered non-finite generator loss at iter 19409; skipping update. +2025-11-04 13:07:36,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:36,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:36,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.05, mean=0.05925, std=3.18, absmax=14.05 +2025-11-04 13:07:36,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=12.01, mean=0.04644, std=2.861, absmax=12.02 +2025-11-04 13:07:37,120 ERROR: Encountered non-finite generator loss at iter 19410; skipping update. +2025-11-04 13:07:37,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:37,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.72, mean=0.2293, std=3.591, absmax=14.72 +2025-11-04 13:07:37,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.58, mean=0.2376, std=3.306, absmax=12.58 +2025-11-04 13:07:37,480 ERROR: Encountered non-finite generator loss at iter 19411; skipping update. +2025-11-04 13:07:37,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:37,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.05, mean=-0.1498, std=3.119, absmax=13.05 +2025-11-04 13:07:37,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=11.77, mean=-0.1629, std=2.912, absmax=11.77 +2025-11-04 13:07:37,839 ERROR: Encountered non-finite generator loss at iter 19412; skipping update. +2025-11-04 13:07:37,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:37,842 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:37,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=11.24, mean=-0.173, std=2.423, absmax=11.3 +2025-11-04 13:07:37,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.81, max=10.21, mean=-0.1715, std=2.234, absmax=10.21 +2025-11-04 13:07:38,200 ERROR: Encountered non-finite generator loss at iter 19413; skipping update. +2025-11-04 13:07:38,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:38,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.04, max=14.47, mean=-0.03571, std=3.167, absmax=16.04 +2025-11-04 13:07:38,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.43, max=12.73, mean=-0.09557, std=2.918, absmax=16.43 +2025-11-04 13:07:38,559 ERROR: Encountered non-finite generator loss at iter 19414; skipping update. +2025-11-04 13:07:38,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:38,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=14.87, mean=-0.2199, std=2.898, absmax=14.87 +2025-11-04 13:07:38,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=13.43, mean=-0.2053, std=2.659, absmax=13.43 +2025-11-04 13:07:38,920 ERROR: Encountered non-finite generator loss at iter 19415; skipping update. +2025-11-04 13:07:38,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:38,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:38,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.74, mean=-0.2149, std=2.896, absmax=13.08 +2025-11-04 13:07:38,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=14.44, mean=-0.2015, std=2.837, absmax=14.44 +2025-11-04 13:07:39,279 ERROR: Encountered non-finite generator loss at iter 19416; skipping update. +2025-11-04 13:07:39,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:39,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.57, mean=-0.1522, std=2.854, absmax=12.57 +2025-11-04 13:07:39,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=11.25, mean=-0.1298, std=2.61, absmax=11.25 +2025-11-04 13:07:39,638 ERROR: Encountered non-finite generator loss at iter 19417; skipping update. +2025-11-04 13:07:39,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:39,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.27, mean=-0.1316, std=3.103, absmax=13.26 +2025-11-04 13:07:39,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=9.881, mean=-0.1177, std=2.878, absmax=12.52 +2025-11-04 13:07:39,998 ERROR: Encountered non-finite generator loss at iter 19418; skipping update. +2025-11-04 13:07:39,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:39,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:40,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:40,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=17.06, mean=-0.1113, std=3.174, absmax=17.06 +2025-11-04 13:07:40,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.74, mean=-0.08525, std=2.91, absmax=12.74 +2025-11-04 13:07:40,357 ERROR: Encountered non-finite generator loss at iter 19419; skipping update. +2025-11-04 13:07:40,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:40,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:40,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:40,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:40,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=11.37, mean=-0.09477, std=2.386, absmax=11.72 +2025-11-04 13:07:40,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.997, max=10.63, mean=-0.113, std=2.271, absmax=10.63 +2025-11-04 13:07:40,718 ERROR: Encountered non-finite generator loss at iter 19420; skipping update. +2025-11-04 13:07:40,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:40,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:40,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:40,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:40,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.08, mean=-0.04172, std=2.956, absmax=14.08 +2025-11-04 13:07:40,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=11.65, mean=-0.04597, std=2.655, absmax=11.65 +2025-11-04 13:07:41,078 ERROR: Encountered non-finite generator loss at iter 19421; skipping update. +2025-11-04 13:07:41,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:41,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.98, mean=-0.188, std=3.009, absmax=12.98 +2025-11-04 13:07:41,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=11.41, mean=-0.217, std=2.811, absmax=12.46 +2025-11-04 13:07:41,437 ERROR: Encountered non-finite generator loss at iter 19422; skipping update. +2025-11-04 13:07:41,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:41,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.3, mean=-0.01288, std=2.97, absmax=13.3 +2025-11-04 13:07:41,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=10.51, mean=-0.04516, std=2.722, absmax=10.51 +2025-11-04 13:07:41,798 ERROR: Encountered non-finite generator loss at iter 19423; skipping update. +2025-11-04 13:07:41,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:41,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:41,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.45, mean=-0.2078, std=2.938, absmax=13.59 +2025-11-04 13:07:41,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=10.82, mean=-0.1963, std=2.763, absmax=12.45 +2025-11-04 13:07:42,158 ERROR: Encountered non-finite generator loss at iter 19424; skipping update. +2025-11-04 13:07:42,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:42,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=13.67, mean=0.05321, std=3.502, absmax=14.36 +2025-11-04 13:07:42,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.6, mean=0.05954, std=3.285, absmax=12.6 +2025-11-04 13:07:42,518 ERROR: Encountered non-finite generator loss at iter 19425; skipping update. +2025-11-04 13:07:42,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:42,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.23, mean=-0.04503, std=2.972, absmax=12.39 +2025-11-04 13:07:42,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.32, mean=-0.06391, std=2.643, absmax=10.9 +2025-11-04 13:07:42,878 ERROR: Encountered non-finite generator loss at iter 19426; skipping update. +2025-11-04 13:07:42,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:42,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:42,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=15.24, mean=0.06754, std=3.061, absmax=15.24 +2025-11-04 13:07:42,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=12.57, mean=0.02519, std=2.742, absmax=12.57 +2025-11-04 13:07:43,238 ERROR: Encountered non-finite generator loss at iter 19427; skipping update. +2025-11-04 13:07:43,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:43,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=14, mean=-0.1665, std=3.107, absmax=14 +2025-11-04 13:07:43,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.82, mean=-0.1493, std=2.805, absmax=11.82 +2025-11-04 13:07:43,598 ERROR: Encountered non-finite generator loss at iter 19428; skipping update. +2025-11-04 13:07:43,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:43,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=14.66, mean=0.06508, std=3.089, absmax=14.66 +2025-11-04 13:07:43,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=12.39, mean=0.06965, std=2.842, absmax=12.39 +2025-11-04 13:07:43,958 ERROR: Encountered non-finite generator loss at iter 19429; skipping update. +2025-11-04 13:07:43,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:43,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:43,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=14.05, mean=0.01256, std=3.198, absmax=15.59 +2025-11-04 13:07:43,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=12.83, mean=-0.01681, std=2.968, absmax=13.18 +2025-11-04 13:07:44,318 ERROR: Encountered non-finite generator loss at iter 19430; skipping update. +2025-11-04 13:07:44,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:44,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:44,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:44,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:44,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=13.47, mean=-0.09725, std=3.285, absmax=13.84 +2025-11-04 13:07:44,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=12.04, mean=-0.09473, std=2.927, absmax=12.04 +2025-11-04 13:07:44,678 ERROR: Encountered non-finite generator loss at iter 19431; skipping update. +2025-11-04 13:07:44,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:44,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:44,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:44,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:44,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.01, mean=-0.1901, std=2.956, absmax=13.03 +2025-11-04 13:07:44,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.71, mean=-0.1692, std=2.771, absmax=11.77 +2025-11-04 13:07:45,038 ERROR: Encountered non-finite generator loss at iter 19432; skipping update. +2025-11-04 13:07:45,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:45,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=10.53, mean=-0.2091, std=2.954, absmax=13.67 +2025-11-04 13:07:45,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=10.96, mean=-0.2205, std=2.719, absmax=11.53 +2025-11-04 13:07:45,399 ERROR: Encountered non-finite generator loss at iter 19433; skipping update. +2025-11-04 13:07:45,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:45,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.26, max=17.24, mean=0.01701, std=3.188, absmax=17.24 +2025-11-04 13:07:45,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.56, max=15.15, mean=0.05394, std=3.053, absmax=15.15 +2025-11-04 13:07:45,758 ERROR: Encountered non-finite generator loss at iter 19434; skipping update. +2025-11-04 13:07:45,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:45,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:45,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=14.4, mean=-0.2725, std=2.851, absmax=15.14 +2025-11-04 13:07:45,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.8, mean=-0.3069, std=2.717, absmax=11.82 +2025-11-04 13:07:46,119 ERROR: Encountered non-finite generator loss at iter 19435; skipping update. +2025-11-04 13:07:46,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:46,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.48, mean=-0.218, std=2.629, absmax=12.48 +2025-11-04 13:07:46,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.6, mean=-0.232, std=2.561, absmax=12.07 +2025-11-04 13:07:46,479 ERROR: Encountered non-finite generator loss at iter 19436; skipping update. +2025-11-04 13:07:46,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:46,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13.2, mean=-0.246, std=3.155, absmax=13.49 +2025-11-04 13:07:46,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.91, mean=-0.2205, std=2.807, absmax=11.6 +2025-11-04 13:07:46,839 ERROR: Encountered non-finite generator loss at iter 19437; skipping update. +2025-11-04 13:07:46,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:46,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:46,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12, mean=-0.2719, std=2.746, absmax=13.78 +2025-11-04 13:07:46,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=10.77, mean=-0.2383, std=2.591, absmax=12.48 +2025-11-04 13:07:47,198 ERROR: Encountered non-finite generator loss at iter 19438; skipping update. +2025-11-04 13:07:47,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:47,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=13.26, mean=-0.1163, std=2.872, absmax=13.26 +2025-11-04 13:07:47,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.938, max=11.37, mean=-0.07279, std=2.668, absmax=11.37 +2025-11-04 13:07:47,558 ERROR: Encountered non-finite generator loss at iter 19439; skipping update. +2025-11-04 13:07:47,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:47,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.43, mean=-0.3351, std=2.646, absmax=14.43 +2025-11-04 13:07:47,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=13.46, mean=-0.3519, std=2.596, absmax=13.46 +2025-11-04 13:07:47,919 ERROR: Encountered non-finite generator loss at iter 19440; skipping update. +2025-11-04 13:07:47,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:47,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:47,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=14.34, mean=-0.2508, std=3.329, absmax=14.34 +2025-11-04 13:07:47,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.14, mean=-0.2525, std=3.095, absmax=12.37 +2025-11-04 13:07:48,278 ERROR: Encountered non-finite generator loss at iter 19441; skipping update. +2025-11-04 13:07:48,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:48,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:48,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:48,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:48,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.24, mean=-0.1618, std=2.684, absmax=12.96 +2025-11-04 13:07:48,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.36, mean=-0.1745, std=2.572, absmax=11.68 +2025-11-04 13:07:48,638 ERROR: Encountered non-finite generator loss at iter 19442; skipping update. +2025-11-04 13:07:48,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:48,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:48,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:48,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:48,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=15.26, mean=-0.02718, std=3.396, absmax=15.26 +2025-11-04 13:07:48,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.81, mean=-0.02975, std=3.16, absmax=12.81 +2025-11-04 13:07:48,998 ERROR: Encountered non-finite generator loss at iter 19443; skipping update. +2025-11-04 13:07:48,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:48,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:49,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=16.3, mean=0.005653, std=2.943, absmax=16.3 +2025-11-04 13:07:49,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=13.29, mean=0.05313, std=2.724, absmax=13.29 +2025-11-04 13:07:49,359 ERROR: Encountered non-finite generator loss at iter 19444; skipping update. +2025-11-04 13:07:49,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:49,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=11.43, mean=-0.3215, std=2.956, absmax=14.33 +2025-11-04 13:07:49,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=10.76, mean=-0.2898, std=2.827, absmax=12.74 +2025-11-04 13:07:49,719 ERROR: Encountered non-finite generator loss at iter 19445; skipping update. +2025-11-04 13:07:49,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:49,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:49,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=14.23, mean=-0.3427, std=3.172, absmax=14.84 +2025-11-04 13:07:49,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.83, max=12.28, mean=-0.2822, std=2.941, absmax=13.83 +2025-11-04 13:07:50,078 ERROR: Encountered non-finite generator loss at iter 19446; skipping update. +2025-11-04 13:07:50,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:50,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.64, mean=-0.1828, std=2.881, absmax=12.64 +2025-11-04 13:07:50,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=11.59, mean=-0.1886, std=2.87, absmax=11.59 +2025-11-04 13:07:50,439 ERROR: Encountered non-finite generator loss at iter 19447; skipping update. +2025-11-04 13:07:50,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:50,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=12.47, mean=-0.125, std=2.977, absmax=14.53 +2025-11-04 13:07:50,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=10.49, mean=-0.1481, std=2.717, absmax=12.81 +2025-11-04 13:07:50,800 ERROR: Encountered non-finite generator loss at iter 19448; skipping update. +2025-11-04 13:07:50,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:50,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:50,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=11.76, mean=-0.1682, std=2.844, absmax=11.79 +2025-11-04 13:07:50,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=10.64, mean=-0.1941, std=2.711, absmax=10.64 +2025-11-04 13:07:51,160 ERROR: Encountered non-finite generator loss at iter 19449; skipping update. +2025-11-04 13:07:51,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:51,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.01, mean=-0.1878, std=2.397, absmax=12.46 +2025-11-04 13:07:51,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=11.61, mean=-0.1469, std=2.361, absmax=11.61 +2025-11-04 13:07:51,520 ERROR: Encountered non-finite generator loss at iter 19450; skipping update. +2025-11-04 13:07:51,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:51,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.34, mean=-0.0184, std=2.753, absmax=13.34 +2025-11-04 13:07:51,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=11.89, mean=-0.02362, std=2.545, absmax=11.89 +2025-11-04 13:07:51,880 ERROR: Encountered non-finite generator loss at iter 19451; skipping update. +2025-11-04 13:07:51,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:51,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:51,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=17.17, mean=-0.2848, std=2.965, absmax=17.17 +2025-11-04 13:07:51,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=13.95, mean=-0.2716, std=2.803, absmax=13.95 +2025-11-04 13:07:52,241 ERROR: Encountered non-finite generator loss at iter 19452; skipping update. +2025-11-04 13:07:52,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:52,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=11.24, mean=-0.1804, std=2.748, absmax=11.5 +2025-11-04 13:07:52,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=10.86, mean=-0.1828, std=2.664, absmax=12 +2025-11-04 13:07:52,600 ERROR: Encountered non-finite generator loss at iter 19453; skipping update. +2025-11-04 13:07:52,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:52,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.84, mean=-0.2047, std=2.466, absmax=12.84 +2025-11-04 13:07:52,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.966, max=10.81, mean=-0.1834, std=2.369, absmax=10.81 +2025-11-04 13:07:52,960 ERROR: Encountered non-finite generator loss at iter 19454; skipping update. +2025-11-04 13:07:52,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:52,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:52,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=14.26, mean=-0.2171, std=3.536, absmax=14.47 +2025-11-04 13:07:52,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=11.29, mean=-0.1901, std=3.266, absmax=13.49 +2025-11-04 13:07:53,321 ERROR: Encountered non-finite generator loss at iter 19455; skipping update. +2025-11-04 13:07:53,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:53,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:53,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:53,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:53,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=11.99, mean=-0.1223, std=2.763, absmax=11.99 +2025-11-04 13:07:53,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.868, max=11.92, mean=-0.09399, std=2.558, absmax=11.92 +2025-11-04 13:07:53,680 ERROR: Encountered non-finite generator loss at iter 19456; skipping update. +2025-11-04 13:07:53,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:53,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:53,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:53,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:53,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=15.03, mean=-0.1301, std=2.584, absmax=15.03 +2025-11-04 13:07:53,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=12.93, mean=-0.08272, std=2.484, absmax=12.93 +2025-11-04 13:07:54,040 ERROR: Encountered non-finite generator loss at iter 19457; skipping update. +2025-11-04 13:07:54,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,042 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:54,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=16.1, mean=-0.2348, std=3.294, absmax=16.1 +2025-11-04 13:07:54,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.22, mean=-0.2048, std=3.24, absmax=12.36 +2025-11-04 13:07:54,399 ERROR: Encountered non-finite generator loss at iter 19458; skipping update. +2025-11-04 13:07:54,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:54,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.5, mean=-0.2022, std=2.961, absmax=12.5 +2025-11-04 13:07:54,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=11.24, mean=-0.1611, std=2.771, absmax=11.84 +2025-11-04 13:07:54,759 ERROR: Encountered non-finite generator loss at iter 19459; skipping update. +2025-11-04 13:07:54,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:54,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:54,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.12, mean=-0.1214, std=2.739, absmax=11.94 +2025-11-04 13:07:54,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=9.773, mean=-0.1165, std=2.586, absmax=12.45 +2025-11-04 13:07:55,120 ERROR: Encountered non-finite generator loss at iter 19460; skipping update. +2025-11-04 13:07:55,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:55,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.99, max=13.75, mean=-0.3068, std=3.438, absmax=14.99 +2025-11-04 13:07:55,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=11.99, mean=-0.2751, std=3.24, absmax=13.03 +2025-11-04 13:07:55,480 ERROR: Encountered non-finite generator loss at iter 19461; skipping update. +2025-11-04 13:07:55,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:55,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.63, mean=0.08978, std=3.335, absmax=13.14 +2025-11-04 13:07:55,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=11.22, mean=0.07765, std=3.041, absmax=12.8 +2025-11-04 13:07:55,840 ERROR: Encountered non-finite generator loss at iter 19462; skipping update. +2025-11-04 13:07:55,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:55,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:55,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=17.66, mean=-0.08377, std=3.072, absmax=17.66 +2025-11-04 13:07:55,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=15.24, mean=-0.07428, std=2.867, absmax=15.24 +2025-11-04 13:07:56,200 ERROR: Encountered non-finite generator loss at iter 19463; skipping update. +2025-11-04 13:07:56,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:56,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.06, mean=-0.2749, std=3.258, absmax=13.2 +2025-11-04 13:07:56,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=10.77, mean=-0.2835, std=3.073, absmax=11.63 +2025-11-04 13:07:56,560 ERROR: Encountered non-finite generator loss at iter 19464; skipping update. +2025-11-04 13:07:56,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:56,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.06, mean=-0.2494, std=2.915, absmax=12.4 +2025-11-04 13:07:56,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.56, mean=-0.2317, std=2.747, absmax=11.56 +2025-11-04 13:07:56,919 ERROR: Encountered non-finite generator loss at iter 19465; skipping update. +2025-11-04 13:07:56,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:56,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:56,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=14.04, mean=0.0002612, std=3.351, absmax=14.04 +2025-11-04 13:07:56,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=13.69, mean=-0.0149, std=3.073, absmax=13.69 +2025-11-04 13:07:57,279 ERROR: Encountered non-finite generator loss at iter 19466; skipping update. +2025-11-04 13:07:57,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:57,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:57,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:57,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:57,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.42, mean=-0.1329, std=2.89, absmax=13.42 +2025-11-04 13:07:57,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=10.34, mean=-0.1393, std=2.736, absmax=11.07 +2025-11-04 13:07:57,639 ERROR: Encountered non-finite generator loss at iter 19467; skipping update. +2025-11-04 13:07:57,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:57,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:57,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:57,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:57,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.56, mean=-0.1805, std=2.649, absmax=12.02 +2025-11-04 13:07:57,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=9.972, mean=-0.1541, std=2.485, absmax=11.04 +2025-11-04 13:07:57,999 ERROR: Encountered non-finite generator loss at iter 19468; skipping update. +2025-11-04 13:07:58,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:58,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.25, mean=-0.09985, std=2.841, absmax=15.25 +2025-11-04 13:07:58,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=13.14, mean=-0.06906, std=2.704, absmax=13.14 +2025-11-04 13:07:58,359 ERROR: Encountered non-finite generator loss at iter 19469; skipping update. +2025-11-04 13:07:58,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:58,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.68, max=10.32, mean=-0.243, std=2.539, absmax=10.68 +2025-11-04 13:07:58,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.36, mean=-0.2413, std=2.552, absmax=11.56 +2025-11-04 13:07:58,719 ERROR: Encountered non-finite generator loss at iter 19470; skipping update. +2025-11-04 13:07:58,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:58,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:58,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.34, mean=-0.2052, std=2.887, absmax=13.11 +2025-11-04 13:07:58,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=10.18, mean=-0.2017, std=2.606, absmax=10.65 +2025-11-04 13:07:59,079 ERROR: Encountered non-finite generator loss at iter 19471; skipping update. +2025-11-04 13:07:59,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:59,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.56, mean=-0.2309, std=2.876, absmax=12.7 +2025-11-04 13:07:59,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=11.29, mean=-0.2375, std=2.64, absmax=12.17 +2025-11-04 13:07:59,439 ERROR: Encountered non-finite generator loss at iter 19472; skipping update. +2025-11-04 13:07:59,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:59,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=14.15, mean=0.002676, std=3.198, absmax=14.15 +2025-11-04 13:07:59,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=13.16, mean=0.01309, std=2.955, absmax=13.16 +2025-11-04 13:07:59,799 ERROR: Encountered non-finite generator loss at iter 19473; skipping update. +2025-11-04 13:07:59,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:07:59,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:07:59,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.72, mean=0.04294, std=2.858, absmax=11.8 +2025-11-04 13:07:59,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.923, max=10.97, mean=0.03386, std=2.643, absmax=10.97 +2025-11-04 13:08:00,158 ERROR: Encountered non-finite generator loss at iter 19474; skipping update. +2025-11-04 13:08:00,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:00,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.02, max=14.01, mean=-0.0698, std=3.32, absmax=15.02 +2025-11-04 13:08:00,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=13.12, mean=-0.04969, std=3.047, absmax=13.12 +2025-11-04 13:08:00,518 ERROR: Encountered non-finite generator loss at iter 19475; skipping update. +2025-11-04 13:08:00,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:00,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.21, mean=0.01548, std=3.135, absmax=13.76 +2025-11-04 13:08:00,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=11.72, mean=0.02631, std=2.836, absmax=12.8 +2025-11-04 13:08:00,879 ERROR: Encountered non-finite generator loss at iter 19476; skipping update. +2025-11-04 13:08:00,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:00,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:00,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=10.52, mean=-0.1547, std=2.755, absmax=11.87 +2025-11-04 13:08:00,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=9.737, mean=-0.1631, std=2.51, absmax=10.91 +2025-11-04 13:08:01,239 ERROR: Encountered non-finite generator loss at iter 19477; skipping update. +2025-11-04 13:08:01,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:01,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=11.61, mean=-0.221, std=2.983, absmax=13.89 +2025-11-04 13:08:01,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.34, max=11.1, mean=-0.1979, std=2.867, absmax=14.34 +2025-11-04 13:08:01,600 ERROR: Encountered non-finite generator loss at iter 19478; skipping update. +2025-11-04 13:08:01,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:01,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=12.88, mean=-0.1099, std=3.561, absmax=14.81 +2025-11-04 13:08:01,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=12.2, mean=-0.1247, std=3.34, absmax=13.23 +2025-11-04 13:08:01,959 ERROR: Encountered non-finite generator loss at iter 19479; skipping update. +2025-11-04 13:08:01,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:01,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:01,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.41, mean=0.09211, std=3.397, absmax=12.6 +2025-11-04 13:08:01,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.91, mean=0.08276, std=3.102, absmax=11.89 +2025-11-04 13:08:02,319 ERROR: Encountered non-finite generator loss at iter 19480; skipping update. +2025-11-04 13:08:02,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:02,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:02,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:02,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:02,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=16.12, mean=-0.004681, std=2.837, absmax=16.12 +2025-11-04 13:08:02,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=15.78, mean=0.01512, std=2.683, absmax=15.78 +2025-11-04 13:08:02,679 ERROR: Encountered non-finite generator loss at iter 19481; skipping update. +2025-11-04 13:08:02,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:02,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:02,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:02,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:02,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.49, mean=-0.04536, std=2.872, absmax=13.49 +2025-11-04 13:08:02,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=12.03, mean=-0.02224, std=2.687, absmax=12.03 +2025-11-04 13:08:03,039 ERROR: Encountered non-finite generator loss at iter 19482; skipping update. +2025-11-04 13:08:03,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:03,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.73, mean=-0.1648, std=3.004, absmax=12.73 +2025-11-04 13:08:03,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.12, mean=-0.138, std=2.934, absmax=11.12 +2025-11-04 13:08:03,399 ERROR: Encountered non-finite generator loss at iter 19483; skipping update. +2025-11-04 13:08:03,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:03,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=16.12, mean=-0.1796, std=2.72, absmax=16.12 +2025-11-04 13:08:03,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=13.83, mean=-0.1667, std=2.571, absmax=13.83 +2025-11-04 13:08:03,760 ERROR: Encountered non-finite generator loss at iter 19484; skipping update. +2025-11-04 13:08:03,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:03,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:03,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.91, max=16.11, mean=-0.01338, std=3.459, absmax=16.91 +2025-11-04 13:08:03,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=12.64, mean=-0.007451, std=3.086, absmax=12.64 +2025-11-04 13:08:04,120 ERROR: Encountered non-finite generator loss at iter 19485; skipping update. +2025-11-04 13:08:04,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:04,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=11.69, mean=-0.1245, std=3.304, absmax=13.89 +2025-11-04 13:08:04,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=11.24, mean=-0.1286, std=3.092, absmax=12.55 +2025-11-04 13:08:04,479 ERROR: Encountered non-finite generator loss at iter 19486; skipping update. +2025-11-04 13:08:04,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:04,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.86, mean=-0.1012, std=2.967, absmax=12.24 +2025-11-04 13:08:04,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.63, mean=-0.1129, std=2.791, absmax=11.63 +2025-11-04 13:08:04,839 ERROR: Encountered non-finite generator loss at iter 19487; skipping update. +2025-11-04 13:08:04,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:04,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:04,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.58, mean=0.003981, std=2.676, absmax=13.7 +2025-11-04 13:08:04,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=10.18, mean=-0.03759, std=2.51, absmax=13.06 +2025-11-04 13:08:05,199 ERROR: Encountered non-finite generator loss at iter 19488; skipping update. +2025-11-04 13:08:05,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:05,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=14.19, mean=-0.2167, std=3.192, absmax=14.38 +2025-11-04 13:08:05,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=13.34, mean=-0.1909, std=2.967, absmax=13.34 +2025-11-04 13:08:05,558 ERROR: Encountered non-finite generator loss at iter 19489; skipping update. +2025-11-04 13:08:05,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:05,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.85, mean=-0.2894, std=2.886, absmax=14.85 +2025-11-04 13:08:05,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=13.36, mean=-0.2606, std=2.814, absmax=13.36 +2025-11-04 13:08:05,918 ERROR: Encountered non-finite generator loss at iter 19490; skipping update. +2025-11-04 13:08:05,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:05,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:05,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=12.64, mean=-0.09225, std=2.727, absmax=12.64 +2025-11-04 13:08:05,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=10.88, mean=-0.1069, std=2.483, absmax=11.01 +2025-11-04 13:08:06,278 ERROR: Encountered non-finite generator loss at iter 19491; skipping update. +2025-11-04 13:08:06,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:06,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:06,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:06,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:06,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=12.69, mean=-0.1592, std=3.497, absmax=15.07 +2025-11-04 13:08:06,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=11.64, mean=-0.1521, std=3.278, absmax=13.54 +2025-11-04 13:08:06,638 ERROR: Encountered non-finite generator loss at iter 19492; skipping update. +2025-11-04 13:08:06,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:06,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:06,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:06,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:06,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=14.32, mean=-0.1409, std=2.829, absmax=14.32 +2025-11-04 13:08:06,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=12.6, mean=-0.08649, std=2.641, absmax=12.6 +2025-11-04 13:08:07,001 ERROR: Encountered non-finite generator loss at iter 19493; skipping update. +2025-11-04 13:08:07,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:07,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.44, mean=-0.1436, std=2.862, absmax=14.44 +2025-11-04 13:08:07,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=13.57, mean=-0.1236, std=2.747, absmax=13.57 +2025-11-04 13:08:07,363 ERROR: Encountered non-finite generator loss at iter 19494; skipping update. +2025-11-04 13:08:07,365 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,366 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,366 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:07,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.43, mean=-0.1643, std=2.89, absmax=12.43 +2025-11-04 13:08:07,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.25, mean=-0.1423, std=2.843, absmax=12.25 +2025-11-04 13:08:07,727 ERROR: Encountered non-finite generator loss at iter 19495; skipping update. +2025-11-04 13:08:07,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:07,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:07,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.99, mean=-0.2306, std=2.446, absmax=11.99 +2025-11-04 13:08:07,732 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=8.086, mean=-0.2054, std=2.309, absmax=10.72 +2025-11-04 13:08:08,090 ERROR: Encountered non-finite generator loss at iter 19496; skipping update. +2025-11-04 13:08:08,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,093 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:08,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=16.65, mean=-0.09084, std=3.127, absmax=16.65 +2025-11-04 13:08:08,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.38, max=14.84, mean=-0.0684, std=2.988, absmax=14.84 +2025-11-04 13:08:08,453 ERROR: Encountered non-finite generator loss at iter 19497; skipping update. +2025-11-04 13:08:08,455 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,456 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:08,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.7, mean=0.02967, std=2.739, absmax=13.7 +2025-11-04 13:08:08,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.61, mean=0.01273, std=2.564, absmax=11.61 +2025-11-04 13:08:08,817 ERROR: Encountered non-finite generator loss at iter 19498; skipping update. +2025-11-04 13:08:08,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:08,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:08,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.69, mean=-0.06728, std=2.882, absmax=13.69 +2025-11-04 13:08:08,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=11.67, mean=-0.06917, std=2.625, absmax=11.67 +2025-11-04 13:08:09,180 ERROR: Encountered non-finite generator loss at iter 19499; skipping update. +2025-11-04 13:08:09,181 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,182 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,182 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:09,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.98, mean=-0.3002, std=2.819, absmax=12.38 +2025-11-04 13:08:09,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=9.87, mean=-0.2964, std=2.68, absmax=11.88 +2025-11-04 13:08:09,542 ERROR: Encountered non-finite generator loss at iter 19500; skipping update. +2025-11-04 13:08:09,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:09,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.4, mean=-0.2977, std=2.762, absmax=13.06 +2025-11-04 13:08:09,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=10.73, mean=-0.2943, std=2.642, absmax=10.92 +2025-11-04 13:08:09,547 INFO: [38..][epoch: 0, step: 19,500, lr:(2.000e-04,)] [eta: 1 day, 9:15:52, time (data): 0.363 (0.000)] +2025-11-04 13:08:09,905 ERROR: Encountered non-finite generator loss at iter 19501; skipping update. +2025-11-04 13:08:09,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:09,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:09,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=16.41, mean=-0.2243, std=3.37, absmax=16.41 +2025-11-04 13:08:09,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=14.42, mean=-0.2227, std=3.108, absmax=14.42 +2025-11-04 13:08:10,279 ERROR: Encountered non-finite generator loss at iter 19502; skipping update. +2025-11-04 13:08:10,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:10,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:10,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:10,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:10,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=17.13, mean=-0.05878, std=2.864, absmax=17.13 +2025-11-04 13:08:10,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=15.24, mean=-0.05516, std=2.651, absmax=15.24 +2025-11-04 13:08:10,639 ERROR: Encountered non-finite generator loss at iter 19503; skipping update. +2025-11-04 13:08:10,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:10,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:10,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:10,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:10,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.64, mean=-0.0879, std=3.253, absmax=13.64 +2025-11-04 13:08:10,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=11.42, mean=-0.1353, std=3.001, absmax=11.42 +2025-11-04 13:08:10,999 ERROR: Encountered non-finite generator loss at iter 19504; skipping update. +2025-11-04 13:08:11,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:11,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=19.16, mean=-0.4177, std=3.578, absmax=19.16 +2025-11-04 13:08:11,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=17.34, mean=-0.4227, std=3.443, absmax=17.34 +2025-11-04 13:08:11,359 ERROR: Encountered non-finite generator loss at iter 19505; skipping update. +2025-11-04 13:08:11,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:11,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.62, mean=-0.1578, std=2.886, absmax=12.65 +2025-11-04 13:08:11,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.59, mean=-0.1621, std=2.691, absmax=11.76 +2025-11-04 13:08:11,718 ERROR: Encountered non-finite generator loss at iter 19506; skipping update. +2025-11-04 13:08:11,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:11,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:11,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=14.03, mean=-0.02779, std=3.193, absmax=14.03 +2025-11-04 13:08:11,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=12.01, mean=-0.04086, std=2.901, absmax=12.01 +2025-11-04 13:08:12,078 ERROR: Encountered non-finite generator loss at iter 19507; skipping update. +2025-11-04 13:08:12,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:12,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.2, mean=-0.03992, std=2.802, absmax=11.82 +2025-11-04 13:08:12,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=9.601, mean=-0.02228, std=2.543, absmax=10.23 +2025-11-04 13:08:12,439 ERROR: Encountered non-finite generator loss at iter 19508; skipping update. +2025-11-04 13:08:12,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:12,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.9, mean=-0.09353, std=3.216, absmax=13.9 +2025-11-04 13:08:12,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.46, mean=-0.1259, std=2.978, absmax=12.46 +2025-11-04 13:08:12,799 ERROR: Encountered non-finite generator loss at iter 19509; skipping update. +2025-11-04 13:08:12,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:12,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:12,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.59, mean=-0.2371, std=2.441, absmax=12.59 +2025-11-04 13:08:12,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.697, max=10.51, mean=-0.2024, std=2.372, absmax=10.51 +2025-11-04 13:08:13,158 ERROR: Encountered non-finite generator loss at iter 19510; skipping update. +2025-11-04 13:08:13,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:13,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.47, mean=-0.0532, std=3.02, absmax=12.27 +2025-11-04 13:08:13,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=11.14, mean=-0.02741, std=2.788, absmax=11.14 +2025-11-04 13:08:13,519 ERROR: Encountered non-finite generator loss at iter 19511; skipping update. +2025-11-04 13:08:13,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:13,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.99, mean=-0.2499, std=2.989, absmax=12.25 +2025-11-04 13:08:13,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.52, mean=-0.2347, std=2.873, absmax=12.1 +2025-11-04 13:08:13,878 ERROR: Encountered non-finite generator loss at iter 19512; skipping update. +2025-11-04 13:08:13,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:13,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:13,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.59, mean=-0.1625, std=2.965, absmax=15.59 +2025-11-04 13:08:13,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=12.99, mean=-0.1622, std=2.708, absmax=12.99 +2025-11-04 13:08:14,239 ERROR: Encountered non-finite generator loss at iter 19513; skipping update. +2025-11-04 13:08:14,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:14,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.55, max=10.51, mean=-0.2654, std=2.331, absmax=10.55 +2025-11-04 13:08:14,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.801, max=8.545, mean=-0.2581, std=2.25, absmax=9.801 +2025-11-04 13:08:14,599 ERROR: Encountered non-finite generator loss at iter 19514; skipping update. +2025-11-04 13:08:14,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:14,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.94, mean=-0.2602, std=2.36, absmax=12.91 +2025-11-04 13:08:14,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=9.356, mean=-0.2781, std=2.267, absmax=11.99 +2025-11-04 13:08:14,959 ERROR: Encountered non-finite generator loss at iter 19515; skipping update. +2025-11-04 13:08:14,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:14,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:14,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.13, mean=-0.2038, std=3.027, absmax=14.13 +2025-11-04 13:08:14,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=14.07, mean=-0.1688, std=2.825, absmax=14.07 +2025-11-04 13:08:15,319 ERROR: Encountered non-finite generator loss at iter 19516; skipping update. +2025-11-04 13:08:15,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:15,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:15,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:15,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:15,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=11.11, mean=-0.2501, std=2.983, absmax=12.23 +2025-11-04 13:08:15,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=9.499, mean=-0.1903, std=2.746, absmax=11.47 +2025-11-04 13:08:15,679 ERROR: Encountered non-finite generator loss at iter 19517; skipping update. +2025-11-04 13:08:15,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:15,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:15,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:15,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:15,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.61, mean=-0.3269, std=3.627, absmax=14.05 +2025-11-04 13:08:15,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=10.86, mean=-0.3093, std=3.33, absmax=12.67 +2025-11-04 13:08:16,039 ERROR: Encountered non-finite generator loss at iter 19518; skipping update. +2025-11-04 13:08:16,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:16,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=11.74, mean=-0.2763, std=3.078, absmax=11.74 +2025-11-04 13:08:16,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=10.49, mean=-0.2338, std=2.855, absmax=10.49 +2025-11-04 13:08:16,399 ERROR: Encountered non-finite generator loss at iter 19519; skipping update. +2025-11-04 13:08:16,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:16,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=15.96, mean=-0.006833, std=2.983, absmax=15.96 +2025-11-04 13:08:16,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.96, mean=-0.003462, std=2.681, absmax=12.96 +2025-11-04 13:08:16,759 ERROR: Encountered non-finite generator loss at iter 19520; skipping update. +2025-11-04 13:08:16,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:16,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:16,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.93, mean=-0.263, std=2.719, absmax=14.93 +2025-11-04 13:08:16,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=13.53, mean=-0.2305, std=2.501, absmax=13.53 +2025-11-04 13:08:17,120 ERROR: Encountered non-finite generator loss at iter 19521; skipping update. +2025-11-04 13:08:17,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:17,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.57, mean=-0.1952, std=2.912, absmax=13.57 +2025-11-04 13:08:17,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.71, mean=-0.226, std=2.699, absmax=11.96 +2025-11-04 13:08:17,480 ERROR: Encountered non-finite generator loss at iter 19522; skipping update. +2025-11-04 13:08:17,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:17,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.4, mean=-0.3065, std=2.992, absmax=13.59 +2025-11-04 13:08:17,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.18, mean=-0.2737, std=2.792, absmax=11.95 +2025-11-04 13:08:17,840 ERROR: Encountered non-finite generator loss at iter 19523; skipping update. +2025-11-04 13:08:17,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:17,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:17,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.87, mean=-0.0343, std=3.439, absmax=14.87 +2025-11-04 13:08:17,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=12.86, mean=-0.01641, std=3.054, absmax=12.86 +2025-11-04 13:08:18,200 ERROR: Encountered non-finite generator loss at iter 19524; skipping update. +2025-11-04 13:08:18,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:18,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=9.526, mean=-0.2892, std=2.48, absmax=12.52 +2025-11-04 13:08:18,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=9.033, mean=-0.2548, std=2.457, absmax=12.03 +2025-11-04 13:08:18,560 ERROR: Encountered non-finite generator loss at iter 19525; skipping update. +2025-11-04 13:08:18,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:18,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=12.11, mean=-0.2046, std=3.285, absmax=14.14 +2025-11-04 13:08:18,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=12.12, mean=-0.2086, std=3.293, absmax=12.67 +2025-11-04 13:08:18,920 ERROR: Encountered non-finite generator loss at iter 19526; skipping update. +2025-11-04 13:08:18,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:18,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:18,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.18, mean=-0.2453, std=3.053, absmax=13.1 +2025-11-04 13:08:18,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=11.07, mean=-0.2075, std=2.873, absmax=11.67 +2025-11-04 13:08:19,279 ERROR: Encountered non-finite generator loss at iter 19527; skipping update. +2025-11-04 13:08:19,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:19,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:19,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:19,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:19,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.88, mean=0.005313, std=3.302, absmax=13.47 +2025-11-04 13:08:19,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.95, mean=0.01003, std=3.133, absmax=12.95 +2025-11-04 13:08:19,639 ERROR: Encountered non-finite generator loss at iter 19528; skipping update. +2025-11-04 13:08:19,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:19,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:19,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:19,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:19,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.96, mean=-0.07438, std=3.197, absmax=12.96 +2025-11-04 13:08:19,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.37, mean=-0.05341, std=2.957, absmax=11.37 +2025-11-04 13:08:20,000 ERROR: Encountered non-finite generator loss at iter 19529; skipping update. +2025-11-04 13:08:20,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:20,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=9.677, mean=-0.309, std=2.777, absmax=13.06 +2025-11-04 13:08:20,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=9.299, mean=-0.3046, std=2.625, absmax=11.64 +2025-11-04 13:08:20,359 ERROR: Encountered non-finite generator loss at iter 19530; skipping update. +2025-11-04 13:08:20,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:20,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=16.23, mean=-0.1803, std=2.827, absmax=16.23 +2025-11-04 13:08:20,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=14.39, mean=-0.1886, std=2.608, absmax=14.39 +2025-11-04 13:08:20,719 ERROR: Encountered non-finite generator loss at iter 19531; skipping update. +2025-11-04 13:08:20,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:20,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:20,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.08, mean=-0.2155, std=3.048, absmax=13.08 +2025-11-04 13:08:20,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=11.73, mean=-0.1735, std=2.815, absmax=11.73 +2025-11-04 13:08:21,079 ERROR: Encountered non-finite generator loss at iter 19532; skipping update. +2025-11-04 13:08:21,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:21,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.77, mean=0.04898, std=2.994, absmax=14.17 +2025-11-04 13:08:21,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=13.19, mean=0.01366, std=2.741, absmax=13.19 +2025-11-04 13:08:21,439 ERROR: Encountered non-finite generator loss at iter 19533; skipping update. +2025-11-04 13:08:21,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:21,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=10.51, mean=-0.1937, std=2.419, absmax=11.37 +2025-11-04 13:08:21,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=8.558, mean=-0.2065, std=2.246, absmax=10.42 +2025-11-04 13:08:21,799 ERROR: Encountered non-finite generator loss at iter 19534; skipping update. +2025-11-04 13:08:21,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:21,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:21,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=10.89, mean=-0.2128, std=2.671, absmax=11.91 +2025-11-04 13:08:21,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=9.59, mean=-0.2397, std=2.385, absmax=11.13 +2025-11-04 13:08:22,159 ERROR: Encountered non-finite generator loss at iter 19535; skipping update. +2025-11-04 13:08:22,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:22,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=12.04, mean=-0.1909, std=2.814, absmax=13.45 +2025-11-04 13:08:22,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=10.2, mean=-0.1943, std=2.527, absmax=10.82 +2025-11-04 13:08:22,519 ERROR: Encountered non-finite generator loss at iter 19536; skipping update. +2025-11-04 13:08:22,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:22,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.81, mean=-0.2743, std=2.651, absmax=12.81 +2025-11-04 13:08:22,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=11.18, mean=-0.2564, std=2.604, absmax=11.18 +2025-11-04 13:08:22,879 ERROR: Encountered non-finite generator loss at iter 19537; skipping update. +2025-11-04 13:08:22,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:22,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:22,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.95, max=13.83, mean=-0.05967, std=3.806, absmax=16.95 +2025-11-04 13:08:22,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.32, max=15.3, mean=-0.01656, std=3.666, absmax=15.3 +2025-11-04 13:08:23,239 ERROR: Encountered non-finite generator loss at iter 19538; skipping update. +2025-11-04 13:08:23,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:23,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.22, mean=-0.3316, std=3.304, absmax=14.26 +2025-11-04 13:08:23,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=10.24, mean=-0.2583, std=2.995, absmax=12.7 +2025-11-04 13:08:23,599 ERROR: Encountered non-finite generator loss at iter 19539; skipping update. +2025-11-04 13:08:23,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:23,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.63, mean=-0.09066, std=3.186, absmax=14.63 +2025-11-04 13:08:23,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=12.32, mean=-0.0691, std=2.983, absmax=12.32 +2025-11-04 13:08:23,958 ERROR: Encountered non-finite generator loss at iter 19540; skipping update. +2025-11-04 13:08:23,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:23,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:23,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=10.95, mean=-0.2977, std=3.576, absmax=14.86 +2025-11-04 13:08:23,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=9.354, mean=-0.365, std=3.425, absmax=13.4 +2025-11-04 13:08:24,319 ERROR: Encountered non-finite generator loss at iter 19541; skipping update. +2025-11-04 13:08:24,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:24,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:24,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:24,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:24,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=13.65, mean=-0.108, std=3.347, absmax=15.48 +2025-11-04 13:08:24,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=12.58, mean=-0.09258, std=3.155, absmax=13.16 +2025-11-04 13:08:24,680 ERROR: Encountered non-finite generator loss at iter 19542; skipping update. +2025-11-04 13:08:24,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:24,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:24,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:24,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:24,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.73, mean=-0.4892, std=3.866, absmax=13.89 +2025-11-04 13:08:24,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=13.41, mean=-0.3838, std=3.695, absmax=13.41 +2025-11-04 13:08:25,040 ERROR: Encountered non-finite generator loss at iter 19543; skipping update. +2025-11-04 13:08:25,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,042 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:25,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.35, mean=0.03659, std=3.473, absmax=13.35 +2025-11-04 13:08:25,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.63, mean=0.0291, std=3.107, absmax=11.63 +2025-11-04 13:08:25,400 ERROR: Encountered non-finite generator loss at iter 19544; skipping update. +2025-11-04 13:08:25,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:25,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.54, mean=-0.234, std=2.88, absmax=13.1 +2025-11-04 13:08:25,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.02, mean=-0.1787, std=2.724, absmax=12.29 +2025-11-04 13:08:25,759 ERROR: Encountered non-finite generator loss at iter 19545; skipping update. +2025-11-04 13:08:25,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:25,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:25,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.21, mean=-0.2223, std=3.053, absmax=13.21 +2025-11-04 13:08:25,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=11.58, mean=-0.2067, std=2.857, absmax=12.4 +2025-11-04 13:08:26,120 ERROR: Encountered non-finite generator loss at iter 19546; skipping update. +2025-11-04 13:08:26,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:26,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.49, mean=-0.1187, std=2.667, absmax=11.49 +2025-11-04 13:08:26,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=10.95, mean=-0.1279, std=2.492, absmax=10.95 +2025-11-04 13:08:26,479 ERROR: Encountered non-finite generator loss at iter 19547; skipping update. +2025-11-04 13:08:26,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:26,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.42, mean=0.2031, std=3.251, absmax=12.42 +2025-11-04 13:08:26,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.12, mean=0.1832, std=3.156, absmax=12.12 +2025-11-04 13:08:26,838 ERROR: Encountered non-finite generator loss at iter 19548; skipping update. +2025-11-04 13:08:26,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:26,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:26,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=12.95, mean=-0.215, std=3.469, absmax=14.35 +2025-11-04 13:08:26,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.63, max=11.84, mean=-0.1875, std=3.356, absmax=13.63 +2025-11-04 13:08:27,198 ERROR: Encountered non-finite generator loss at iter 19549; skipping update. +2025-11-04 13:08:27,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:27,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.98, mean=-0.07541, std=3.137, absmax=12.98 +2025-11-04 13:08:27,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.9, mean=-0.08682, std=2.841, absmax=11.14 +2025-11-04 13:08:27,559 ERROR: Encountered non-finite generator loss at iter 19550; skipping update. +2025-11-04 13:08:27,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:27,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=16.07, mean=-0.1285, std=3.147, absmax=16.07 +2025-11-04 13:08:27,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=15.16, mean=-0.1246, std=2.987, absmax=15.16 +2025-11-04 13:08:27,918 ERROR: Encountered non-finite generator loss at iter 19551; skipping update. +2025-11-04 13:08:27,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:27,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:27,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.79, mean=-0.1337, std=2.971, absmax=13.79 +2025-11-04 13:08:27,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=13.24, mean=-0.1264, std=2.724, absmax=13.24 +2025-11-04 13:08:28,279 ERROR: Encountered non-finite generator loss at iter 19552; skipping update. +2025-11-04 13:08:28,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:28,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:28,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:28,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:28,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.2, mean=-0.1437, std=2.834, absmax=13.04 +2025-11-04 13:08:28,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=10.51, mean=-0.1162, std=2.533, absmax=11.7 +2025-11-04 13:08:28,639 ERROR: Encountered non-finite generator loss at iter 19553; skipping update. +2025-11-04 13:08:28,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:28,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:28,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:28,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:28,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.58, mean=-0.189, std=2.962, absmax=12.58 +2025-11-04 13:08:28,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=10.23, mean=-0.223, std=2.783, absmax=10.69 +2025-11-04 13:08:28,999 ERROR: Encountered non-finite generator loss at iter 19554; skipping update. +2025-11-04 13:08:28,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:29,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.62, mean=-0.1478, std=2.645, absmax=13.62 +2025-11-04 13:08:29,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=12.37, mean=-0.1303, std=2.51, absmax=12.37 +2025-11-04 13:08:29,359 ERROR: Encountered non-finite generator loss at iter 19555; skipping update. +2025-11-04 13:08:29,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,364 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:29,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.54, mean=-0.2967, std=3.051, absmax=12.55 +2025-11-04 13:08:29,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=10.46, mean=-0.2616, std=2.95, absmax=11.78 +2025-11-04 13:08:29,722 ERROR: Encountered non-finite generator loss at iter 19556; skipping update. +2025-11-04 13:08:29,723 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,724 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:29,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:29,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=15, mean=-0.101, std=3.318, absmax=15 +2025-11-04 13:08:29,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=12.72, mean=-0.1152, std=3.278, absmax=12.72 +2025-11-04 13:08:30,082 ERROR: Encountered non-finite generator loss at iter 19557; skipping update. +2025-11-04 13:08:30,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:30,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.62, max=13.75, mean=-0.08138, std=2.425, absmax=13.75 +2025-11-04 13:08:30,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.506, max=11.49, mean=-0.08805, std=2.35, absmax=11.49 +2025-11-04 13:08:30,442 ERROR: Encountered non-finite generator loss at iter 19558; skipping update. +2025-11-04 13:08:30,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:30,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.74, mean=-0.138, std=3.016, absmax=13.2 +2025-11-04 13:08:30,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.48, mean=-0.1417, std=2.834, absmax=12.58 +2025-11-04 13:08:30,803 ERROR: Encountered non-finite generator loss at iter 19559; skipping update. +2025-11-04 13:08:30,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:30,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:30,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=15.14, mean=-0.05645, std=3.487, absmax=15.14 +2025-11-04 13:08:30,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=15.03, mean=-0.01157, std=3.336, absmax=15.03 +2025-11-04 13:08:31,163 ERROR: Encountered non-finite generator loss at iter 19560; skipping update. +2025-11-04 13:08:31,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:31,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=10.15, mean=-0.3033, std=3.249, absmax=12.75 +2025-11-04 13:08:31,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=9.521, mean=-0.2648, std=3.007, absmax=12.74 +2025-11-04 13:08:31,524 ERROR: Encountered non-finite generator loss at iter 19561; skipping update. +2025-11-04 13:08:31,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:31,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.96, mean=-0.1845, std=2.905, absmax=12.26 +2025-11-04 13:08:31,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=10.43, mean=-0.1482, std=2.821, absmax=12.17 +2025-11-04 13:08:31,885 ERROR: Encountered non-finite generator loss at iter 19562; skipping update. +2025-11-04 13:08:31,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,886 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:31,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:31,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.54, mean=-0.1121, std=2.837, absmax=12.54 +2025-11-04 13:08:31,888 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=10.85, mean=-0.06691, std=2.696, absmax=11.05 +2025-11-04 13:08:32,245 ERROR: Encountered non-finite generator loss at iter 19563; skipping update. +2025-11-04 13:08:32,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,247 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:32,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=10.34, mean=-0.3805, std=2.394, absmax=13.13 +2025-11-04 13:08:32,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=9.377, mean=-0.3657, std=2.4, absmax=11.75 +2025-11-04 13:08:32,605 ERROR: Encountered non-finite generator loss at iter 19564; skipping update. +2025-11-04 13:08:32,606 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,607 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,607 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:32,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.93, mean=-0.2225, std=3.041, absmax=13.58 +2025-11-04 13:08:32,608 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=11.36, mean=-0.2128, std=2.941, absmax=13.04 +2025-11-04 13:08:32,965 ERROR: Encountered non-finite generator loss at iter 19565; skipping update. +2025-11-04 13:08:32,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:32,967 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:32,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.69, max=12.48, mean=-0.1513, std=2.372, absmax=12.48 +2025-11-04 13:08:32,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.02, max=10.55, mean=-0.1548, std=2.128, absmax=10.55 +2025-11-04 13:08:33,326 ERROR: Encountered non-finite generator loss at iter 19566; skipping update. +2025-11-04 13:08:33,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:33,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:33,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:33,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:33,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.02, mean=-0.2794, std=3.394, absmax=13.94 +2025-11-04 13:08:33,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=9.801, mean=-0.2447, std=3.097, absmax=11.33 +2025-11-04 13:08:33,686 ERROR: Encountered non-finite generator loss at iter 19567; skipping update. +2025-11-04 13:08:33,687 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:33,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:33,688 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:33,688 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:33,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.52, mean=-0.3244, std=2.817, absmax=14.52 +2025-11-04 13:08:33,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.49, mean=-0.285, std=2.611, absmax=11.31 +2025-11-04 13:08:34,046 ERROR: Encountered non-finite generator loss at iter 19568; skipping update. +2025-11-04 13:08:34,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,048 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:34,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.83, mean=-0.02859, std=3.134, absmax=13.83 +2025-11-04 13:08:34,050 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=12.6, mean=-0.07102, std=2.963, absmax=12.6 +2025-11-04 13:08:34,407 ERROR: Encountered non-finite generator loss at iter 19569; skipping update. +2025-11-04 13:08:34,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,408 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:34,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.41, mean=-0.07882, std=3.652, absmax=14.17 +2025-11-04 13:08:34,410 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=12.04, mean=-0.08805, std=3.352, absmax=12.04 +2025-11-04 13:08:34,767 ERROR: Encountered non-finite generator loss at iter 19570; skipping update. +2025-11-04 13:08:34,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:34,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:34,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=9.912, mean=-0.2992, std=2.469, absmax=11.1 +2025-11-04 13:08:34,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=8.574, mean=-0.3016, std=2.311, absmax=11.31 +2025-11-04 13:08:35,127 ERROR: Encountered non-finite generator loss at iter 19571; skipping update. +2025-11-04 13:08:35,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:35,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13, mean=-0.06083, std=3.451, absmax=13 +2025-11-04 13:08:35,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=12.13, mean=-0.03868, std=3.187, absmax=12.13 +2025-11-04 13:08:35,487 ERROR: Encountered non-finite generator loss at iter 19572; skipping update. +2025-11-04 13:08:35,488 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,489 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,489 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:35,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.98, mean=-0.1682, std=2.966, absmax=12.98 +2025-11-04 13:08:35,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.55, mean=-0.1932, std=2.746, absmax=11.55 +2025-11-04 13:08:35,848 ERROR: Encountered non-finite generator loss at iter 19573; skipping update. +2025-11-04 13:08:35,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:35,850 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:35,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.33, mean=-0.2005, std=2.896, absmax=12.33 +2025-11-04 13:08:35,851 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=9.982, mean=-0.1964, std=2.639, absmax=10.34 +2025-11-04 13:08:36,208 ERROR: Encountered non-finite generator loss at iter 19574; skipping update. +2025-11-04 13:08:36,209 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,210 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:36,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=15.01, mean=-0.1938, std=2.836, absmax=15.01 +2025-11-04 13:08:36,211 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=11.38, mean=-0.1851, std=2.618, absmax=11.85 +2025-11-04 13:08:36,567 ERROR: Encountered non-finite generator loss at iter 19575; skipping update. +2025-11-04 13:08:36,568 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,569 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,569 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:36,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=15.31, mean=-0.2535, std=2.508, absmax=15.31 +2025-11-04 13:08:36,571 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=12.84, mean=-0.2487, std=2.393, absmax=12.84 +2025-11-04 13:08:36,928 ERROR: Encountered non-finite generator loss at iter 19576; skipping update. +2025-11-04 13:08:36,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:36,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:36,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.04, mean=-0.1337, std=2.688, absmax=12.04 +2025-11-04 13:08:36,932 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.75, mean=-0.1992, std=2.601, absmax=10.75 +2025-11-04 13:08:37,288 ERROR: Encountered non-finite generator loss at iter 19577; skipping update. +2025-11-04 13:08:37,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:37,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:37,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:37,290 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:37,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.81, mean=-0.218, std=3.216, absmax=13.44 +2025-11-04 13:08:37,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.22, mean=-0.242, std=2.971, absmax=10.68 +2025-11-04 13:08:37,648 ERROR: Encountered non-finite generator loss at iter 19578; skipping update. +2025-11-04 13:08:37,649 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:37,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:37,649 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:37,650 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:37,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.46, max=13.96, mean=-0.2004, std=3.087, absmax=15.46 +2025-11-04 13:08:37,651 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=13.6, mean=-0.1274, std=3.004, absmax=13.6 +2025-11-04 13:08:38,009 ERROR: Encountered non-finite generator loss at iter 19579; skipping update. +2025-11-04 13:08:38,010 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,011 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,011 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:38,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.42, mean=-0.03368, std=3.261, absmax=14.42 +2025-11-04 13:08:38,012 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=12.68, mean=-0.03139, std=2.99, absmax=12.68 +2025-11-04 13:08:38,369 ERROR: Encountered non-finite generator loss at iter 19580; skipping update. +2025-11-04 13:08:38,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,371 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:38,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.32, mean=-0.0979, std=3.399, absmax=13.32 +2025-11-04 13:08:38,373 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=11.7, mean=-0.08377, std=3.242, absmax=12.76 +2025-11-04 13:08:38,730 ERROR: Encountered non-finite generator loss at iter 19581; skipping update. +2025-11-04 13:08:38,731 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:38,732 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:38,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.95, mean=-0.266, std=3.562, absmax=12.95 +2025-11-04 13:08:38,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.78, mean=-0.2226, std=3.272, absmax=11.86 +2025-11-04 13:08:39,091 ERROR: Encountered non-finite generator loss at iter 19582; skipping update. +2025-11-04 13:08:39,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,093 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:39,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=13.2, mean=-0.226, std=2.628, absmax=13.2 +2025-11-04 13:08:39,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=10.43, mean=-0.2219, std=2.404, absmax=10.44 +2025-11-04 13:08:39,451 ERROR: Encountered non-finite generator loss at iter 19583; skipping update. +2025-11-04 13:08:39,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:39,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=13.04, mean=-0.2567, std=3.486, absmax=14.3 +2025-11-04 13:08:39,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=11.53, mean=-0.2449, std=3.164, absmax=12.88 +2025-11-04 13:08:39,812 ERROR: Encountered non-finite generator loss at iter 19584; skipping update. +2025-11-04 13:08:39,813 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:39,814 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:39,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.45, mean=-0.2241, std=3.088, absmax=14.45 +2025-11-04 13:08:39,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=13.95, mean=-0.1819, std=2.891, absmax=13.95 +2025-11-04 13:08:40,172 ERROR: Encountered non-finite generator loss at iter 19585; skipping update. +2025-11-04 13:08:40,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,174 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:40,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=14.92, mean=-0.174, std=3.243, absmax=14.92 +2025-11-04 13:08:40,176 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=13.07, mean=-0.1855, std=3.058, absmax=13.07 +2025-11-04 13:08:40,533 ERROR: Encountered non-finite generator loss at iter 19586; skipping update. +2025-11-04 13:08:40,533 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,534 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,534 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:40,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.43, mean=-0.3326, std=2.672, absmax=12.65 +2025-11-04 13:08:40,535 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=9.18, mean=-0.304, std=2.54, absmax=12.01 +2025-11-04 13:08:40,893 ERROR: Encountered non-finite generator loss at iter 19587; skipping update. +2025-11-04 13:08:40,894 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:40,896 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:40,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=15.09, mean=0.01075, std=3.485, absmax=15.09 +2025-11-04 13:08:40,897 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=14.04, mean=0.009859, std=3.18, absmax=14.04 +2025-11-04 13:08:41,254 ERROR: Encountered non-finite generator loss at iter 19588; skipping update. +2025-11-04 13:08:41,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:41,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.31, mean=-0.2796, std=3.085, absmax=14.31 +2025-11-04 13:08:41,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=11.91, mean=-0.2276, std=2.963, absmax=12.21 +2025-11-04 13:08:41,615 ERROR: Encountered non-finite generator loss at iter 19589; skipping update. +2025-11-04 13:08:41,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,617 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:41,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.91, mean=-0.1758, std=2.745, absmax=12.27 +2025-11-04 13:08:41,619 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=9.831, mean=-0.183, std=2.445, absmax=10.46 +2025-11-04 13:08:41,976 ERROR: Encountered non-finite generator loss at iter 19590; skipping update. +2025-11-04 13:08:41,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:41,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:41,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=17.86, mean=-0.1855, std=3.307, absmax=17.86 +2025-11-04 13:08:41,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=15.83, mean=-0.1501, std=3.137, absmax=15.83 +2025-11-04 13:08:42,336 ERROR: Encountered non-finite generator loss at iter 19591; skipping update. +2025-11-04 13:08:42,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:42,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:42,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:42,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:42,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.53, mean=-0.04218, std=3.321, absmax=13.53 +2025-11-04 13:08:42,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.89, mean=-0.05007, std=2.995, absmax=11.89 +2025-11-04 13:08:42,697 ERROR: Encountered non-finite generator loss at iter 19592; skipping update. +2025-11-04 13:08:42,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:42,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:42,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:42,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:42,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=9.915, mean=-0.2045, std=2.449, absmax=11.19 +2025-11-04 13:08:42,701 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=8.453, mean=-0.1939, std=2.276, absmax=10.16 +2025-11-04 13:08:43,058 ERROR: Encountered non-finite generator loss at iter 19593; skipping update. +2025-11-04 13:08:43,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:43,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.29, mean=-0.1489, std=3.393, absmax=13.81 +2025-11-04 13:08:43,063 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=10.33, mean=-0.1651, std=3.059, absmax=11.9 +2025-11-04 13:08:43,421 ERROR: Encountered non-finite generator loss at iter 19594; skipping update. +2025-11-04 13:08:43,422 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,425 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:43,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=15.01, mean=0.1016, std=3.987, absmax=15.01 +2025-11-04 13:08:43,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.35, max=14.45, mean=0.07909, std=3.719, absmax=14.45 +2025-11-04 13:08:43,782 ERROR: Encountered non-finite generator loss at iter 19595; skipping update. +2025-11-04 13:08:43,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:43,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:43,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.55, mean=-0.08807, std=2.632, absmax=12.71 +2025-11-04 13:08:43,786 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=11.23, mean=-0.07361, std=2.398, absmax=11.71 +2025-11-04 13:08:44,143 ERROR: Encountered non-finite generator loss at iter 19596; skipping update. +2025-11-04 13:08:44,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,145 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:44,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.53, mean=-0.1046, std=2.958, absmax=13.92 +2025-11-04 13:08:44,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.28, mean=-0.08574, std=2.696, absmax=12.28 +2025-11-04 13:08:44,503 ERROR: Encountered non-finite generator loss at iter 19597; skipping update. +2025-11-04 13:08:44,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:44,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.88, max=12.59, mean=-0.04456, std=2.928, absmax=15.88 +2025-11-04 13:08:44,506 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.72, max=11.7, mean=-0.06056, std=2.759, absmax=14.72 +2025-11-04 13:08:44,863 ERROR: Encountered non-finite generator loss at iter 19598; skipping update. +2025-11-04 13:08:44,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:44,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:44,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=13, mean=-0.1923, std=2.767, absmax=13 +2025-11-04 13:08:44,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=10.99, mean=-0.2077, std=2.502, absmax=11.05 +2025-11-04 13:08:45,224 ERROR: Encountered non-finite generator loss at iter 19599; skipping update. +2025-11-04 13:08:45,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,225 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:45,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=15.64, mean=-0.1392, std=2.653, absmax=15.64 +2025-11-04 13:08:45,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.774, max=11.59, mean=-0.1046, std=2.505, absmax=11.59 +2025-11-04 13:08:45,583 ERROR: Encountered non-finite generator loss at iter 19600; skipping update. +2025-11-04 13:08:45,584 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,585 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,585 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:45,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=13.02, mean=-0.002295, std=3.349, absmax=13.02 +2025-11-04 13:08:45,586 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=11.93, mean=0.01668, std=3.078, absmax=11.93 +2025-11-04 13:08:45,587 INFO: [38..][epoch: 0, step: 19,600, lr:(2.000e-04,)] [eta: 1 day, 9:07:02, time (data): 0.360 (0.000)] +2025-11-04 13:08:45,944 ERROR: Encountered non-finite generator loss at iter 19601; skipping update. +2025-11-04 13:08:45,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:45,946 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:45,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=13.28, mean=0.03891, std=3.353, absmax=14.79 +2025-11-04 13:08:45,947 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=11.98, mean=0.05167, std=3.183, absmax=12.03 +2025-11-04 13:08:46,304 ERROR: Encountered non-finite generator loss at iter 19602; skipping update. +2025-11-04 13:08:46,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:46,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:46,305 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:46,306 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:46,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.67, mean=-0.1361, std=2.943, absmax=12.67 +2025-11-04 13:08:46,307 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=11.48, mean=-0.109, std=2.676, absmax=11.48 +2025-11-04 13:08:46,663 ERROR: Encountered non-finite generator loss at iter 19603; skipping update. +2025-11-04 13:08:46,665 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:46,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:46,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:46,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:46,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.86, mean=-0.1762, std=3.45, absmax=13.86 +2025-11-04 13:08:46,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.92, mean=-0.1092, std=3.337, absmax=11.92 +2025-11-04 13:08:47,023 ERROR: Encountered non-finite generator loss at iter 19604; skipping update. +2025-11-04 13:08:47,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:47,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=13.18, mean=0.02621, std=2.994, absmax=14.59 +2025-11-04 13:08:47,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=11.2, mean=0.002742, std=2.844, absmax=13.39 +2025-11-04 13:08:47,384 ERROR: Encountered non-finite generator loss at iter 19605; skipping update. +2025-11-04 13:08:47,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:47,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=12.89, mean=-0.1894, std=3.437, absmax=13.66 +2025-11-04 13:08:47,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=10.45, mean=-0.1956, std=3.182, absmax=12.71 +2025-11-04 13:08:47,743 ERROR: Encountered non-finite generator loss at iter 19606; skipping update. +2025-11-04 13:08:47,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:47,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:47,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=9.785, mean=-0.4117, std=2.977, absmax=13.18 +2025-11-04 13:08:47,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=9.457, mean=-0.4133, std=2.76, absmax=12.23 +2025-11-04 13:08:48,104 ERROR: Encountered non-finite generator loss at iter 19607; skipping update. +2025-11-04 13:08:48,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:48,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=14.25, mean=-0.2473, std=2.766, absmax=14.25 +2025-11-04 13:08:48,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=13.96, mean=-0.2246, std=2.603, absmax=13.96 +2025-11-04 13:08:48,466 ERROR: Encountered non-finite generator loss at iter 19608; skipping update. +2025-11-04 13:08:48,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:48,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=12.37, mean=-0.1776, std=2.997, absmax=12.37 +2025-11-04 13:08:48,470 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=10.2, mean=-0.1382, std=2.851, absmax=10.52 +2025-11-04 13:08:48,827 ERROR: Encountered non-finite generator loss at iter 19609; skipping update. +2025-11-04 13:08:48,828 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,829 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:48,829 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:48,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=11.92, mean=-0.2606, std=2.628, absmax=11.92 +2025-11-04 13:08:48,830 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=10.74, mean=-0.2757, std=2.409, absmax=10.74 +2025-11-04 13:08:49,187 ERROR: Encountered non-finite generator loss at iter 19610; skipping update. +2025-11-04 13:08:49,188 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,189 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:49,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.22, mean=0.1243, std=2.819, absmax=12.22 +2025-11-04 13:08:49,190 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=10.86, mean=0.07257, std=2.624, absmax=11.47 +2025-11-04 13:08:49,548 ERROR: Encountered non-finite generator loss at iter 19611; skipping update. +2025-11-04 13:08:49,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,549 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:49,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.41, mean=-0.2344, std=2.584, absmax=11.75 +2025-11-04 13:08:49,551 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=10.11, mean=-0.2148, std=2.442, absmax=11.58 +2025-11-04 13:08:49,908 ERROR: Encountered non-finite generator loss at iter 19612; skipping update. +2025-11-04 13:08:49,909 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,909 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:49,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:49,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.45, max=15.4, mean=0.03278, std=3.069, absmax=19.45 +2025-11-04 13:08:49,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.2, max=14.2, mean=0.03512, std=2.861, absmax=15.2 +2025-11-04 13:08:50,267 ERROR: Encountered non-finite generator loss at iter 19613; skipping update. +2025-11-04 13:08:50,268 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,269 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,269 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:50,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=16.21, mean=-0.3251, std=2.816, absmax=16.21 +2025-11-04 13:08:50,271 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=16.83, mean=-0.2786, std=2.6, absmax=16.83 +2025-11-04 13:08:50,628 ERROR: Encountered non-finite generator loss at iter 19614; skipping update. +2025-11-04 13:08:50,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:50,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.08, mean=-0.1317, std=2.773, absmax=12.11 +2025-11-04 13:08:50,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=10.42, mean=-0.09746, std=2.565, absmax=10.42 +2025-11-04 13:08:50,988 ERROR: Encountered non-finite generator loss at iter 19615; skipping update. +2025-11-04 13:08:50,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:50,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:50,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=12.43, mean=-0.2225, std=2.815, absmax=14.44 +2025-11-04 13:08:50,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=11.45, mean=-0.2269, std=2.623, absmax=13.28 +2025-11-04 13:08:51,348 ERROR: Encountered non-finite generator loss at iter 19616; skipping update. +2025-11-04 13:08:51,348 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:51,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:51,349 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:51,349 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:51,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=9.066, mean=-0.3644, std=2.743, absmax=12.37 +2025-11-04 13:08:51,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=8.378, mean=-0.428, std=2.632, absmax=11.08 +2025-11-04 13:08:51,707 ERROR: Encountered non-finite generator loss at iter 19617; skipping update. +2025-11-04 13:08:51,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:51,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:51,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:51,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:51,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=11.5, mean=-0.3224, std=3.646, absmax=14.6 +2025-11-04 13:08:51,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.19, mean=-0.3214, std=3.493, absmax=12.81 +2025-11-04 13:08:52,068 ERROR: Encountered non-finite generator loss at iter 19618; skipping update. +2025-11-04 13:08:52,069 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:52,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.44, mean=-0.3305, std=3.104, absmax=13.44 +2025-11-04 13:08:52,071 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.14, mean=-0.2859, std=2.904, absmax=11.14 +2025-11-04 13:08:52,428 ERROR: Encountered non-finite generator loss at iter 19619; skipping update. +2025-11-04 13:08:52,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,430 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:52,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.06, mean=-0.1053, std=2.985, absmax=12.4 +2025-11-04 13:08:52,432 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=10.35, mean=-0.1163, std=2.773, absmax=11.42 +2025-11-04 13:08:52,789 ERROR: Encountered non-finite generator loss at iter 19620; skipping update. +2025-11-04 13:08:52,790 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,791 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:52,791 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:52,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.97, mean=-0.1693, std=3.113, absmax=14.97 +2025-11-04 13:08:52,793 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=12.61, mean=-0.1354, std=2.899, absmax=12.75 +2025-11-04 13:08:53,150 ERROR: Encountered non-finite generator loss at iter 19621; skipping update. +2025-11-04 13:08:53,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,152 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:53,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=15.16, mean=0.05694, std=3.907, absmax=15.16 +2025-11-04 13:08:53,153 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=15.04, mean=0.08779, std=3.699, absmax=15.04 +2025-11-04 13:08:53,510 ERROR: Encountered non-finite generator loss at iter 19622; skipping update. +2025-11-04 13:08:53,511 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,512 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,513 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:53,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.47, mean=-0.1219, std=3.088, absmax=12.47 +2025-11-04 13:08:53,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=11.14, mean=-0.07053, std=2.921, absmax=11.14 +2025-11-04 13:08:53,871 ERROR: Encountered non-finite generator loss at iter 19623; skipping update. +2025-11-04 13:08:53,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,872 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:53,873 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:53,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=14.28, mean=-0.08086, std=3.716, absmax=14.28 +2025-11-04 13:08:53,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=13.25, mean=-0.03612, std=3.381, absmax=13.25 +2025-11-04 13:08:54,231 ERROR: Encountered non-finite generator loss at iter 19624; skipping update. +2025-11-04 13:08:54,232 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,233 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,233 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:54,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=15.06, mean=-0.05062, std=3.441, absmax=15.06 +2025-11-04 13:08:54,234 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=14.19, mean=-0.03235, std=3.17, absmax=14.19 +2025-11-04 13:08:54,592 ERROR: Encountered non-finite generator loss at iter 19625; skipping update. +2025-11-04 13:08:54,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,594 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:54,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=16.38, mean=-0.2629, std=2.918, absmax=16.38 +2025-11-04 13:08:54,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=14.08, mean=-0.2709, std=2.708, absmax=14.08 +2025-11-04 13:08:54,952 ERROR: Encountered non-finite generator loss at iter 19626; skipping update. +2025-11-04 13:08:54,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:54,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:54,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=11.56, mean=-0.03805, std=2.758, absmax=11.56 +2025-11-04 13:08:54,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.8, mean=-0.04093, std=2.553, absmax=11.28 +2025-11-04 13:08:55,313 ERROR: Encountered non-finite generator loss at iter 19627; skipping update. +2025-11-04 13:08:55,314 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:55,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:55,315 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:55,315 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:55,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.46, max=9.875, mean=-0.2248, std=2.277, absmax=10.46 +2025-11-04 13:08:55,317 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.381, max=8.825, mean=-0.2304, std=2.119, absmax=9.381 +2025-11-04 13:08:55,674 ERROR: Encountered non-finite generator loss at iter 19628; skipping update. +2025-11-04 13:08:55,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:55,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:55,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:55,676 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:55,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.15, mean=-0.2258, std=2.638, absmax=12.26 +2025-11-04 13:08:55,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=10.99, mean=-0.1947, std=2.47, absmax=10.99 +2025-11-04 13:08:56,034 ERROR: Encountered non-finite generator loss at iter 19629; skipping update. +2025-11-04 13:08:56,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,036 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:56,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.13, mean=-0.2488, std=2.65, absmax=12.14 +2025-11-04 13:08:56,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=10.4, mean=-0.2281, std=2.463, absmax=10.75 +2025-11-04 13:08:56,395 ERROR: Encountered non-finite generator loss at iter 19630; skipping update. +2025-11-04 13:08:56,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:56,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=10.47, mean=-0.09481, std=2.462, absmax=11.57 +2025-11-04 13:08:56,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=8.585, mean=-0.1192, std=2.234, absmax=11.63 +2025-11-04 13:08:56,755 ERROR: Encountered non-finite generator loss at iter 19631; skipping update. +2025-11-04 13:08:56,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:56,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:56,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.67, mean=-0.2924, std=2.922, absmax=14.01 +2025-11-04 13:08:56,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.61, mean=-0.3261, std=2.723, absmax=11.61 +2025-11-04 13:08:57,116 ERROR: Encountered non-finite generator loss at iter 19632; skipping update. +2025-11-04 13:08:57,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:57,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12, mean=-0.2248, std=2.945, absmax=13.13 +2025-11-04 13:08:57,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.87, mean=-0.2408, std=2.696, absmax=11.91 +2025-11-04 13:08:57,477 ERROR: Encountered non-finite generator loss at iter 19633; skipping update. +2025-11-04 13:08:57,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:57,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.04, mean=-0.04972, std=3.319, absmax=14.04 +2025-11-04 13:08:57,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=13.26, mean=-0.04746, std=3.054, absmax=13.26 +2025-11-04 13:08:57,837 ERROR: Encountered non-finite generator loss at iter 19634; skipping update. +2025-11-04 13:08:57,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:57,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:57,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.59, mean=-0.1883, std=2.271, absmax=12.63 +2025-11-04 13:08:57,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.481, max=8.831, mean=-0.1786, std=2.083, absmax=9.481 +2025-11-04 13:08:58,198 ERROR: Encountered non-finite generator loss at iter 19635; skipping update. +2025-11-04 13:08:58,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:58,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.31, mean=-0.1741, std=2.87, absmax=13.93 +2025-11-04 13:08:58,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=11.41, mean=-0.1878, std=2.538, absmax=11.41 +2025-11-04 13:08:58,558 ERROR: Encountered non-finite generator loss at iter 19636; skipping update. +2025-11-04 13:08:58,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:58,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.31, mean=-0.2035, std=3.173, absmax=12.63 +2025-11-04 13:08:58,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.56, mean=-0.173, std=2.974, absmax=12.56 +2025-11-04 13:08:58,919 ERROR: Encountered non-finite generator loss at iter 19637; skipping update. +2025-11-04 13:08:58,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:58,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:58,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=17.86, mean=-0.1549, std=3.08, absmax=17.86 +2025-11-04 13:08:58,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=15.68, mean=-0.1712, std=2.769, absmax=15.68 +2025-11-04 13:08:59,279 ERROR: Encountered non-finite generator loss at iter 19638; skipping update. +2025-11-04 13:08:59,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:59,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:59,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:59,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:59,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=10.2, mean=-0.1337, std=2.743, absmax=11.38 +2025-11-04 13:08:59,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=9.173, mean=-0.1208, std=2.625, absmax=11.07 +2025-11-04 13:08:59,639 ERROR: Encountered non-finite generator loss at iter 19639; skipping update. +2025-11-04 13:08:59,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:59,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:08:59,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:08:59,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:08:59,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.72, mean=-0.1999, std=3.088, absmax=13.77 +2025-11-04 13:08:59,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=12.56, mean=-0.1998, std=2.829, absmax=12.85 +2025-11-04 13:09:00,000 ERROR: Encountered non-finite generator loss at iter 19640; skipping update. +2025-11-04 13:09:00,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:00,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=14.19, mean=-0.2211, std=3.167, absmax=14.19 +2025-11-04 13:09:00,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=12.55, mean=-0.1814, std=2.821, absmax=12.55 +2025-11-04 13:09:00,359 ERROR: Encountered non-finite generator loss at iter 19641; skipping update. +2025-11-04 13:09:00,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:00,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=11.25, mean=-0.3255, std=2.931, absmax=12.21 +2025-11-04 13:09:00,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=10.88, mean=-0.3308, std=2.822, absmax=12.38 +2025-11-04 13:09:00,723 ERROR: Encountered non-finite generator loss at iter 19642; skipping update. +2025-11-04 13:09:00,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:00,726 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:00,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=12.51, mean=-0.2376, std=2.425, absmax=12.51 +2025-11-04 13:09:00,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=9.551, mean=-0.2068, std=2.19, absmax=10.02 +2025-11-04 13:09:01,085 ERROR: Encountered non-finite generator loss at iter 19643; skipping update. +2025-11-04 13:09:01,086 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,087 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:01,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=10.19, mean=-0.2327, std=2.852, absmax=12.33 +2025-11-04 13:09:01,089 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=9.112, mean=-0.2051, std=2.667, absmax=10.81 +2025-11-04 13:09:01,447 ERROR: Encountered non-finite generator loss at iter 19644; skipping update. +2025-11-04 13:09:01,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:01,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=14.35, mean=-0.338, std=3.329, absmax=15.03 +2025-11-04 13:09:01,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=13.22, mean=-0.3347, std=3.176, absmax=13.22 +2025-11-04 13:09:01,807 ERROR: Encountered non-finite generator loss at iter 19645; skipping update. +2025-11-04 13:09:01,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:01,809 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:01,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.27, mean=-0.02848, std=3.017, absmax=14.27 +2025-11-04 13:09:01,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=12.45, mean=-0.01352, std=2.83, absmax=12.45 +2025-11-04 13:09:02,168 ERROR: Encountered non-finite generator loss at iter 19646; skipping update. +2025-11-04 13:09:02,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,172 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:02,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.64, mean=-0.178, std=2.398, absmax=12.66 +2025-11-04 13:09:02,173 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=9.485, mean=-0.1493, std=2.235, absmax=10.11 +2025-11-04 13:09:02,530 ERROR: Encountered non-finite generator loss at iter 19647; skipping update. +2025-11-04 13:09:02,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,532 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:02,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=11.98, mean=-0.271, std=3.565, absmax=13.93 +2025-11-04 13:09:02,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.6, mean=-0.2284, std=3.243, absmax=11.9 +2025-11-04 13:09:02,891 ERROR: Encountered non-finite generator loss at iter 19648; skipping update. +2025-11-04 13:09:02,892 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,893 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:02,894 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:02,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=14.36, mean=0.1046, std=3.728, absmax=14.46 +2025-11-04 13:09:02,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.61, max=13.56, mean=0.115, std=3.479, absmax=14.61 +2025-11-04 13:09:03,252 ERROR: Encountered non-finite generator loss at iter 19649; skipping update. +2025-11-04 13:09:03,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:03,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.34, mean=-0.116, std=2.909, absmax=13.13 +2025-11-04 13:09:03,255 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=9.598, mean=-0.1021, std=2.653, absmax=12.81 +2025-11-04 13:09:03,612 ERROR: Encountered non-finite generator loss at iter 19650; skipping update. +2025-11-04 13:09:03,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:03,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.71, mean=-0.1188, std=2.927, absmax=11.95 +2025-11-04 13:09:03,616 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=12.15, mean=-0.0904, std=2.688, absmax=12.15 +2025-11-04 13:09:03,973 ERROR: Encountered non-finite generator loss at iter 19651; skipping update. +2025-11-04 13:09:03,974 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,975 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:03,975 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:03,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.09, mean=-0.3144, std=2.96, absmax=13.62 +2025-11-04 13:09:03,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=9.568, mean=-0.3243, std=2.786, absmax=11.87 +2025-11-04 13:09:04,333 ERROR: Encountered non-finite generator loss at iter 19652; skipping update. +2025-11-04 13:09:04,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:04,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:04,335 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:04,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:04,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.84, mean=0.03196, std=3.05, absmax=13.84 +2025-11-04 13:09:04,337 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=14.03, mean=0.01898, std=2.832, absmax=14.03 +2025-11-04 13:09:04,694 ERROR: Encountered non-finite generator loss at iter 19653; skipping update. +2025-11-04 13:09:04,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:04,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:04,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:04,697 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:04,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.34, mean=0.04931, std=3.024, absmax=13.39 +2025-11-04 13:09:04,698 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.29, mean=0.05559, std=2.791, absmax=12.29 +2025-11-04 13:09:05,055 ERROR: Encountered non-finite generator loss at iter 19654; skipping update. +2025-11-04 13:09:05,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,057 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:05,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.77, mean=0.1592, std=3.492, absmax=13.33 +2025-11-04 13:09:05,058 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=11.78, mean=0.1696, std=3.143, absmax=11.78 +2025-11-04 13:09:05,416 ERROR: Encountered non-finite generator loss at iter 19655; skipping update. +2025-11-04 13:09:05,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:05,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.82, mean=-0.2753, std=3.049, absmax=13.82 +2025-11-04 13:09:05,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=10.92, mean=-0.2108, std=2.851, absmax=11.21 +2025-11-04 13:09:05,776 ERROR: Encountered non-finite generator loss at iter 19656; skipping update. +2025-11-04 13:09:05,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:05,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:05,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.2, mean=0.1125, std=3.418, absmax=14.2 +2025-11-04 13:09:05,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=13.33, mean=0.1101, std=3.221, absmax=13.33 +2025-11-04 13:09:06,137 ERROR: Encountered non-finite generator loss at iter 19657; skipping update. +2025-11-04 13:09:06,139 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,140 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,140 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:06,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.51, mean=-0.1633, std=2.676, absmax=14.51 +2025-11-04 13:09:06,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=11.83, mean=-0.146, std=2.457, absmax=11.83 +2025-11-04 13:09:06,499 ERROR: Encountered non-finite generator loss at iter 19658; skipping update. +2025-11-04 13:09:06,500 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,500 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,501 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:06,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.47, max=12.15, mean=-0.226, std=3.219, absmax=15.47 +2025-11-04 13:09:06,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=9.708, mean=-0.2134, std=2.948, absmax=12.81 +2025-11-04 13:09:06,859 ERROR: Encountered non-finite generator loss at iter 19659; skipping update. +2025-11-04 13:09:06,859 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,860 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:06,861 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:06,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.78, mean=-0.3139, std=2.645, absmax=12.78 +2025-11-04 13:09:06,862 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=10.34, mean=-0.2478, std=2.527, absmax=10.89 +2025-11-04 13:09:07,219 ERROR: Encountered non-finite generator loss at iter 19660; skipping update. +2025-11-04 13:09:07,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,220 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,220 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:07,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.15, mean=-0.2011, std=2.795, absmax=12.15 +2025-11-04 13:09:07,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=12.44, mean=-0.1497, std=2.675, absmax=12.44 +2025-11-04 13:09:07,578 ERROR: Encountered non-finite generator loss at iter 19661; skipping update. +2025-11-04 13:09:07,579 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,580 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,581 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:07,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=15.69, mean=-0.2195, std=2.93, absmax=15.69 +2025-11-04 13:09:07,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=12.14, mean=-0.2412, std=2.685, absmax=12.3 +2025-11-04 13:09:07,939 ERROR: Encountered non-finite generator loss at iter 19662; skipping update. +2025-11-04 13:09:07,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:07,941 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:07,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.24, mean=-0.07729, std=2.779, absmax=13.24 +2025-11-04 13:09:07,943 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=12.62, mean=-0.07478, std=2.573, absmax=12.62 +2025-11-04 13:09:08,299 ERROR: Encountered non-finite generator loss at iter 19663; skipping update. +2025-11-04 13:09:08,300 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:08,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:08,301 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:08,301 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:08,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.29, mean=-0.3354, std=2.879, absmax=13.29 +2025-11-04 13:09:08,303 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=10.78, mean=-0.3062, std=2.705, absmax=11.92 +2025-11-04 13:09:08,660 ERROR: Encountered non-finite generator loss at iter 19664; skipping update. +2025-11-04 13:09:08,661 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:08,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:08,661 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:08,662 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:08,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.35, mean=-0.2326, std=2.543, absmax=13.1 +2025-11-04 13:09:08,663 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=10.99, mean=-0.2112, std=2.377, absmax=11.36 +2025-11-04 13:09:09,019 ERROR: Encountered non-finite generator loss at iter 19665; skipping update. +2025-11-04 13:09:09,021 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,021 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,022 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:09,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=11.2, mean=-0.1171, std=2.547, absmax=11.2 +2025-11-04 13:09:09,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=9.709, mean=-0.1217, std=2.537, absmax=10.24 +2025-11-04 13:09:09,380 ERROR: Encountered non-finite generator loss at iter 19666; skipping update. +2025-11-04 13:09:09,381 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,382 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,382 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:09,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=16.99, mean=-0.09176, std=3.238, absmax=16.99 +2025-11-04 13:09:09,383 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=12.29, mean=-0.1663, std=3.258, absmax=12.64 +2025-11-04 13:09:09,740 ERROR: Encountered non-finite generator loss at iter 19667; skipping update. +2025-11-04 13:09:09,741 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,742 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:09,742 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:09,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.42, mean=-0.1139, std=3.092, absmax=14.42 +2025-11-04 13:09:09,744 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=12.9, mean=-0.1083, std=2.867, absmax=12.9 +2025-11-04 13:09:10,100 ERROR: Encountered non-finite generator loss at iter 19668; skipping update. +2025-11-04 13:09:10,100 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,101 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:10,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.98, mean=0.007195, std=3.156, absmax=13.98 +2025-11-04 13:09:10,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=12.97, mean=0.003937, std=2.927, absmax=12.97 +2025-11-04 13:09:10,458 ERROR: Encountered non-finite generator loss at iter 19669; skipping update. +2025-11-04 13:09:10,459 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,460 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,460 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:10,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.93, mean=-0.05058, std=3.106, absmax=14.93 +2025-11-04 13:09:10,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=14.92, mean=-0.03248, std=2.914, absmax=14.92 +2025-11-04 13:09:10,819 ERROR: Encountered non-finite generator loss at iter 19670; skipping update. +2025-11-04 13:09:10,820 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,821 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:10,821 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:10,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=14.09, mean=0.06516, std=3.53, absmax=14.09 +2025-11-04 13:09:10,822 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=13.07, mean=0.05615, std=3.196, absmax=13.07 +2025-11-04 13:09:11,179 ERROR: Encountered non-finite generator loss at iter 19671; skipping update. +2025-11-04 13:09:11,180 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,181 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:11,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.75, mean=-0.218, std=3.135, absmax=12 +2025-11-04 13:09:11,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=10.64, mean=-0.2263, std=2.949, absmax=11.52 +2025-11-04 13:09:11,538 ERROR: Encountered non-finite generator loss at iter 19672; skipping update. +2025-11-04 13:09:11,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,540 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:11,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=13, mean=-0.2397, std=2.96, absmax=13 +2025-11-04 13:09:11,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.33, mean=-0.2035, std=2.819, absmax=11.33 +2025-11-04 13:09:11,898 ERROR: Encountered non-finite generator loss at iter 19673; skipping update. +2025-11-04 13:09:11,899 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:11,901 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:11,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=11.75, mean=-0.08944, std=2.893, absmax=13.59 +2025-11-04 13:09:11,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=10.88, mean=-0.08861, std=2.664, absmax=11.62 +2025-11-04 13:09:12,259 ERROR: Encountered non-finite generator loss at iter 19674; skipping update. +2025-11-04 13:09:12,259 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,260 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:12,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.85, mean=0.02594, std=2.905, absmax=12.85 +2025-11-04 13:09:12,262 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=12.59, mean=0.02679, std=2.823, absmax=12.59 +2025-11-04 13:09:12,619 ERROR: Encountered non-finite generator loss at iter 19675; skipping update. +2025-11-04 13:09:12,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:12,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.57, mean=-0.2577, std=2.921, absmax=13.57 +2025-11-04 13:09:12,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=11.12, mean=-0.2641, std=2.67, absmax=12.6 +2025-11-04 13:09:12,978 ERROR: Encountered non-finite generator loss at iter 19676; skipping update. +2025-11-04 13:09:12,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:12,980 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:12,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=11.2, mean=-0.2108, std=2.946, absmax=11.34 +2025-11-04 13:09:12,981 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.4, mean=-0.2224, std=2.815, absmax=11.89 +2025-11-04 13:09:13,338 ERROR: Encountered non-finite generator loss at iter 19677; skipping update. +2025-11-04 13:09:13,339 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:13,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:13,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:13,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:13,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=11.24, mean=-0.1396, std=2.932, absmax=14.08 +2025-11-04 13:09:13,341 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=10.75, mean=-0.1286, std=2.808, absmax=12.19 +2025-11-04 13:09:13,698 ERROR: Encountered non-finite generator loss at iter 19678; skipping update. +2025-11-04 13:09:13,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:13,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:13,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:13,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:13,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.83, mean=0.04548, std=3.472, absmax=14.83 +2025-11-04 13:09:13,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=13.52, mean=0.02614, std=3.169, absmax=13.52 +2025-11-04 13:09:14,057 ERROR: Encountered non-finite generator loss at iter 19679; skipping update. +2025-11-04 13:09:14,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:14,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.43, mean=-0.04573, std=3.034, absmax=12.92 +2025-11-04 13:09:14,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.96, mean=-0.05724, std=2.838, absmax=11.65 +2025-11-04 13:09:14,416 ERROR: Encountered non-finite generator loss at iter 19680; skipping update. +2025-11-04 13:09:14,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:14,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.11, mean=-0.2849, std=2.97, absmax=13.06 +2025-11-04 13:09:14,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=9.892, mean=-0.2578, std=2.803, absmax=12.67 +2025-11-04 13:09:14,776 ERROR: Encountered non-finite generator loss at iter 19681; skipping update. +2025-11-04 13:09:14,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:14,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:14,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.12, mean=-0.2484, std=3.149, absmax=14.38 +2025-11-04 13:09:14,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=10.07, mean=-0.2796, std=2.897, absmax=13.69 +2025-11-04 13:09:15,138 ERROR: Encountered non-finite generator loss at iter 19682; skipping update. +2025-11-04 13:09:15,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:15,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=10.57, mean=-0.2506, std=2.746, absmax=14.09 +2025-11-04 13:09:15,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=9.798, mean=-0.2682, std=2.549, absmax=12.06 +2025-11-04 13:09:15,497 ERROR: Encountered non-finite generator loss at iter 19683; skipping update. +2025-11-04 13:09:15,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:15,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.17, mean=-0.1029, std=2.915, absmax=12.52 +2025-11-04 13:09:15,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.6, mean=-0.05077, std=2.849, absmax=11.6 +2025-11-04 13:09:15,857 ERROR: Encountered non-finite generator loss at iter 19684; skipping update. +2025-11-04 13:09:15,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:15,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:15,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=13.03, mean=-0.1321, std=2.839, absmax=13.03 +2025-11-04 13:09:15,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=11.16, mean=-0.1404, std=2.617, absmax=12.71 +2025-11-04 13:09:16,216 ERROR: Encountered non-finite generator loss at iter 19685; skipping update. +2025-11-04 13:09:16,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,217 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:16,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=15.18, mean=-0.007987, std=3.561, absmax=15.18 +2025-11-04 13:09:16,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=14.27, mean=-0.01332, std=3.258, absmax=14.27 +2025-11-04 13:09:16,576 ERROR: Encountered non-finite generator loss at iter 19686; skipping update. +2025-11-04 13:09:16,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:16,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=12.21, mean=-0.2574, std=2.617, absmax=13.17 +2025-11-04 13:09:16,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.07, mean=-0.2045, std=2.422, absmax=10.99 +2025-11-04 13:09:16,937 ERROR: Encountered non-finite generator loss at iter 19687; skipping update. +2025-11-04 13:09:16,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:16,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:16,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=11.47, mean=-0.2304, std=2.77, absmax=13.36 +2025-11-04 13:09:16,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=10.94, mean=-0.2466, std=2.617, absmax=12.58 +2025-11-04 13:09:17,297 ERROR: Encountered non-finite generator loss at iter 19688; skipping update. +2025-11-04 13:09:17,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:17,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:17,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:17,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:17,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.71, mean=-0.3169, std=3.19, absmax=13.02 +2025-11-04 13:09:17,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=9.089, mean=-0.2899, std=2.908, absmax=10.88 +2025-11-04 13:09:17,656 ERROR: Encountered non-finite generator loss at iter 19689; skipping update. +2025-11-04 13:09:17,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:17,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:17,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:17,657 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:17,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=12.59, mean=-0.03628, std=3.057, absmax=12.59 +2025-11-04 13:09:17,658 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.33, mean=-0.01231, std=2.89, absmax=12.33 +2025-11-04 13:09:18,015 ERROR: Encountered non-finite generator loss at iter 19690; skipping update. +2025-11-04 13:09:18,016 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,017 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,017 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:18,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=10.73, mean=-0.148, std=2.81, absmax=11.63 +2025-11-04 13:09:18,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=9.281, mean=-0.1033, std=2.681, absmax=12.05 +2025-11-04 13:09:18,376 ERROR: Encountered non-finite generator loss at iter 19691; skipping update. +2025-11-04 13:09:18,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:18,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.21, max=14.49, mean=0.04285, std=3.483, absmax=16.21 +2025-11-04 13:09:18,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.79, max=13.75, mean=0.0364, std=3.205, absmax=13.79 +2025-11-04 13:09:18,736 ERROR: Encountered non-finite generator loss at iter 19692; skipping update. +2025-11-04 13:09:18,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:18,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:18,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.41, mean=-0.08893, std=2.857, absmax=13.41 +2025-11-04 13:09:18,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=11.77, mean=-0.1077, std=2.559, absmax=11.77 +2025-11-04 13:09:19,097 ERROR: Encountered non-finite generator loss at iter 19693; skipping update. +2025-11-04 13:09:19,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:19,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.88, mean=0.03881, std=3.055, absmax=12.88 +2025-11-04 13:09:19,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.31, mean=0.0694, std=2.835, absmax=11.31 +2025-11-04 13:09:19,457 ERROR: Encountered non-finite generator loss at iter 19694; skipping update. +2025-11-04 13:09:19,459 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,460 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:19,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.03, mean=0.0461, std=3.436, absmax=13.48 +2025-11-04 13:09:19,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=10.55, mean=0.074, std=3.148, absmax=12.33 +2025-11-04 13:09:19,818 ERROR: Encountered non-finite generator loss at iter 19695; skipping update. +2025-11-04 13:09:19,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:19,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:19,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.63, mean=-0.08117, std=3.222, absmax=12.85 +2025-11-04 13:09:19,822 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.91, mean=-0.06985, std=2.91, absmax=11.38 +2025-11-04 13:09:20,179 ERROR: Encountered non-finite generator loss at iter 19696; skipping update. +2025-11-04 13:09:20,180 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,181 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,181 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:20,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.86, mean=0.04433, std=3.317, absmax=12.86 +2025-11-04 13:09:20,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=12.28, mean=0.03766, std=3.038, absmax=12.28 +2025-11-04 13:09:20,539 ERROR: Encountered non-finite generator loss at iter 19697; skipping update. +2025-11-04 13:09:20,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:20,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=10.81, mean=-0.2929, std=3.105, absmax=14.08 +2025-11-04 13:09:20,543 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=10.04, mean=-0.2568, std=2.95, absmax=13.36 +2025-11-04 13:09:20,899 ERROR: Encountered non-finite generator loss at iter 19698; skipping update. +2025-11-04 13:09:20,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,901 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:20,901 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:20,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.14, mean=-0.2083, std=3.367, absmax=14.86 +2025-11-04 13:09:20,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.89, max=11.9, mean=-0.1791, std=3.148, absmax=13.89 +2025-11-04 13:09:21,259 ERROR: Encountered non-finite generator loss at iter 19699; skipping update. +2025-11-04 13:09:21,260 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,261 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,262 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:21,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.9, mean=-0.1195, std=2.897, absmax=13.9 +2025-11-04 13:09:21,263 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.98, mean=-0.1786, std=2.685, absmax=11.98 +2025-11-04 13:09:21,620 ERROR: Encountered non-finite generator loss at iter 19700; skipping update. +2025-11-04 13:09:21,621 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,622 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,622 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:21,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.56, mean=0.1003, std=3.427, absmax=13.56 +2025-11-04 13:09:21,624 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=12.31, mean=0.09465, std=3.122, absmax=12.31 +2025-11-04 13:09:21,624 INFO: [38..][epoch: 0, step: 19,700, lr:(2.000e-04,)] [eta: 1 day, 8:58:17, time (data): 0.361 (0.000)] +2025-11-04 13:09:21,980 ERROR: Encountered non-finite generator loss at iter 19701; skipping update. +2025-11-04 13:09:21,981 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,982 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:21,982 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:21,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=18.66, mean=0.1621, std=3.689, absmax=18.66 +2025-11-04 13:09:21,983 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=15.52, mean=0.1838, std=3.513, absmax=15.52 +2025-11-04 13:09:22,340 ERROR: Encountered non-finite generator loss at iter 19702; skipping update. +2025-11-04 13:09:22,341 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:22,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:22,342 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:22,342 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:22,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.84, mean=0.008721, std=3.264, absmax=13.84 +2025-11-04 13:09:22,343 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=12.12, mean=-0.004634, std=3.07, absmax=12.58 +2025-11-04 13:09:22,700 ERROR: Encountered non-finite generator loss at iter 19703; skipping update. +2025-11-04 13:09:22,701 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:22,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:22,702 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:22,702 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:22,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=17.57, mean=-0.01965, std=3.119, absmax=17.57 +2025-11-04 13:09:22,704 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=16.32, mean=0.01104, std=2.897, absmax=16.32 +2025-11-04 13:09:23,060 ERROR: Encountered non-finite generator loss at iter 19704; skipping update. +2025-11-04 13:09:23,061 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,062 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,062 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:23,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.94, mean=-0.1001, std=3.131, absmax=13.94 +2025-11-04 13:09:23,063 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=13.15, mean=-0.03774, std=2.887, absmax=13.15 +2025-11-04 13:09:23,420 ERROR: Encountered non-finite generator loss at iter 19705; skipping update. +2025-11-04 13:09:23,421 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,421 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,422 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:23,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.95, mean=-0.1994, std=3.121, absmax=13.95 +2025-11-04 13:09:23,423 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=10.84, mean=-0.2047, std=2.814, absmax=11.3 +2025-11-04 13:09:23,779 ERROR: Encountered non-finite generator loss at iter 19706; skipping update. +2025-11-04 13:09:23,780 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,781 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:23,781 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:23,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=14.76, mean=-0.01418, std=3.388, absmax=14.76 +2025-11-04 13:09:23,783 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=13.42, mean=-0.01215, std=3.157, absmax=13.42 +2025-11-04 13:09:24,140 ERROR: Encountered non-finite generator loss at iter 19707; skipping update. +2025-11-04 13:09:24,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,142 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:24,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.73, mean=-0.2684, std=2.987, absmax=12.73 +2025-11-04 13:09:24,143 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.76, mean=-0.2551, std=2.796, absmax=11.76 +2025-11-04 13:09:24,500 ERROR: Encountered non-finite generator loss at iter 19708; skipping update. +2025-11-04 13:09:24,501 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,504 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:24,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=15.14, mean=0.2579, std=3.578, absmax=15.14 +2025-11-04 13:09:24,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.25, max=15.4, mean=0.234, std=3.349, absmax=15.4 +2025-11-04 13:09:24,863 ERROR: Encountered non-finite generator loss at iter 19709; skipping update. +2025-11-04 13:09:24,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:24,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:24,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.69, mean=-0.2452, std=3.095, absmax=13.27 +2025-11-04 13:09:24,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=10.62, mean=-0.2096, std=2.915, absmax=12.41 +2025-11-04 13:09:25,225 ERROR: Encountered non-finite generator loss at iter 19710; skipping update. +2025-11-04 13:09:25,226 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,227 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,227 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:25,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.68, max=14.86, mean=-0.008703, std=2.905, absmax=17.68 +2025-11-04 13:09:25,228 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.45, max=12.83, mean=-0.03382, std=2.614, absmax=15.45 +2025-11-04 13:09:25,585 ERROR: Encountered non-finite generator loss at iter 19711; skipping update. +2025-11-04 13:09:25,586 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,587 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,587 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:25,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=12.8, mean=-0.2317, std=3.153, absmax=14.53 +2025-11-04 13:09:25,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=11.12, mean=-0.2406, std=2.942, absmax=12.74 +2025-11-04 13:09:25,945 ERROR: Encountered non-finite generator loss at iter 19712; skipping update. +2025-11-04 13:09:25,946 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,947 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:25,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:25,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.72, mean=-0.3344, std=2.679, absmax=13.72 +2025-11-04 13:09:25,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=10.04, mean=-0.2717, std=2.485, absmax=10.43 +2025-11-04 13:09:26,306 ERROR: Encountered non-finite generator loss at iter 19713; skipping update. +2025-11-04 13:09:26,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:26,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:26,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:26,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:26,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=10.98, mean=-0.2486, std=3.141, absmax=14.13 +2025-11-04 13:09:26,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.35, max=10.21, mean=-0.2206, std=2.828, absmax=13.35 +2025-11-04 13:09:26,666 ERROR: Encountered non-finite generator loss at iter 19714; skipping update. +2025-11-04 13:09:26,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:26,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:26,668 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:26,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:26,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=16.18, mean=-0.1255, std=3.164, absmax=16.18 +2025-11-04 13:09:26,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=13.98, mean=-0.1294, std=3.001, absmax=13.98 +2025-11-04 13:09:27,026 ERROR: Encountered non-finite generator loss at iter 19715; skipping update. +2025-11-04 13:09:27,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:27,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=15.01, mean=-0.08619, std=3.257, absmax=15.01 +2025-11-04 13:09:27,030 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=13.14, mean=-0.09749, std=2.964, absmax=13.14 +2025-11-04 13:09:27,388 ERROR: Encountered non-finite generator loss at iter 19716; skipping update. +2025-11-04 13:09:27,389 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,390 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,390 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:27,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=14.73, mean=-0.2385, std=3.744, absmax=14.73 +2025-11-04 13:09:27,391 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=11.8, mean=-0.1806, std=3.536, absmax=13.39 +2025-11-04 13:09:27,748 ERROR: Encountered non-finite generator loss at iter 19717; skipping update. +2025-11-04 13:09:27,749 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,750 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:27,750 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:27,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=10.82, mean=-0.3566, std=3.297, absmax=14.76 +2025-11-04 13:09:27,751 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=10.61, mean=-0.3214, std=3.135, absmax=13.67 +2025-11-04 13:09:28,108 ERROR: Encountered non-finite generator loss at iter 19718; skipping update. +2025-11-04 13:09:28,109 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,110 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:28,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=10.69, mean=-0.2688, std=2.472, absmax=11.89 +2025-11-04 13:09:28,112 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.892, max=9.601, mean=-0.2788, std=2.383, absmax=9.892 +2025-11-04 13:09:28,468 ERROR: Encountered non-finite generator loss at iter 19719; skipping update. +2025-11-04 13:09:28,469 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,470 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,471 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:28,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=12.91, mean=-0.2935, std=2.817, absmax=14.57 +2025-11-04 13:09:28,472 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.32, mean=-0.312, std=2.603, absmax=11.45 +2025-11-04 13:09:28,830 ERROR: Encountered non-finite generator loss at iter 19720; skipping update. +2025-11-04 13:09:28,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,832 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:28,832 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:28,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.12, mean=-0.01952, std=3.069, absmax=13.12 +2025-11-04 13:09:28,833 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=11.35, mean=-0.04387, std=2.857, absmax=11.35 +2025-11-04 13:09:29,190 ERROR: Encountered non-finite generator loss at iter 19721; skipping update. +2025-11-04 13:09:29,191 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,192 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,192 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:29,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.45, mean=-0.1165, std=2.989, absmax=12.45 +2025-11-04 13:09:29,194 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=10.81, mean=-0.09253, std=2.837, absmax=11.67 +2025-11-04 13:09:29,550 ERROR: Encountered non-finite generator loss at iter 19722; skipping update. +2025-11-04 13:09:29,552 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,553 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:29,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=10.05, mean=-0.2961, std=2.787, absmax=13.86 +2025-11-04 13:09:29,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=9.369, mean=-0.3049, std=2.595, absmax=12.31 +2025-11-04 13:09:29,911 ERROR: Encountered non-finite generator loss at iter 19723; skipping update. +2025-11-04 13:09:29,912 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,913 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:29,913 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:29,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.38, max=11.83, mean=-0.3354, std=3.335, absmax=15.38 +2025-11-04 13:09:29,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.57, max=10.6, mean=-0.3237, std=3.255, absmax=14.57 +2025-11-04 13:09:30,272 ERROR: Encountered non-finite generator loss at iter 19724; skipping update. +2025-11-04 13:09:30,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,274 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:30,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=10.78, mean=-0.2401, std=2.878, absmax=14.16 +2025-11-04 13:09:30,275 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=11.26, mean=-0.2548, std=2.831, absmax=12.45 +2025-11-04 13:09:30,632 ERROR: Encountered non-finite generator loss at iter 19725; skipping update. +2025-11-04 13:09:30,633 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:30,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=16.42, mean=-0.2679, std=3.471, absmax=16.42 +2025-11-04 13:09:30,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=13.74, mean=-0.2389, std=3.19, absmax=13.74 +2025-11-04 13:09:30,992 ERROR: Encountered non-finite generator loss at iter 19726; skipping update. +2025-11-04 13:09:30,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:30,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:30,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=14.25, mean=-0.1424, std=2.866, absmax=14.25 +2025-11-04 13:09:30,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.609, max=11.01, mean=-0.1122, std=2.619, absmax=11.01 +2025-11-04 13:09:31,352 ERROR: Encountered non-finite generator loss at iter 19727; skipping update. +2025-11-04 13:09:31,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:31,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:31,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:31,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:31,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.31, mean=0.04625, std=3.427, absmax=13.31 +2025-11-04 13:09:31,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.95, max=12.48, mean=0.02441, std=3.146, absmax=13.95 +2025-11-04 13:09:31,714 ERROR: Encountered non-finite generator loss at iter 19728; skipping update. +2025-11-04 13:09:31,715 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:31,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:31,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:31,716 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:31,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=11.9, mean=-0.1132, std=2.9, absmax=13.38 +2025-11-04 13:09:31,717 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.57, mean=-0.1346, std=2.643, absmax=12.58 +2025-11-04 13:09:32,075 ERROR: Encountered non-finite generator loss at iter 19729; skipping update. +2025-11-04 13:09:32,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,077 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:32,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=15.7, mean=-0.1795, std=3.562, absmax=15.7 +2025-11-04 13:09:32,078 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.47, max=13.2, mean=-0.1743, std=3.213, absmax=14.47 +2025-11-04 13:09:32,435 ERROR: Encountered non-finite generator loss at iter 19730; skipping update. +2025-11-04 13:09:32,436 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,437 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,437 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:32,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.64, max=13.14, mean=-0.2213, std=3.194, absmax=15.64 +2025-11-04 13:09:32,438 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.53, max=12.35, mean=-0.1907, std=3.021, absmax=14.53 +2025-11-04 13:09:32,795 ERROR: Encountered non-finite generator loss at iter 19731; skipping update. +2025-11-04 13:09:32,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:32,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:32,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.25, mean=-0.1627, std=3.025, absmax=13.25 +2025-11-04 13:09:32,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.76, mean=-0.1523, std=2.829, absmax=11.76 +2025-11-04 13:09:33,159 ERROR: Encountered non-finite generator loss at iter 19732; skipping update. +2025-11-04 13:09:33,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:33,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.51, mean=0.004152, std=3.54, absmax=13.51 +2025-11-04 13:09:33,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.71, mean=0.03536, std=3.205, absmax=11.71 +2025-11-04 13:09:33,519 ERROR: Encountered non-finite generator loss at iter 19733; skipping update. +2025-11-04 13:09:33,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:33,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=15.01, mean=-0.0539, std=3.114, absmax=15.01 +2025-11-04 13:09:33,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=13.12, mean=-0.03733, std=2.921, absmax=13.12 +2025-11-04 13:09:33,879 ERROR: Encountered non-finite generator loss at iter 19734; skipping update. +2025-11-04 13:09:33,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:33,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:33,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.41, mean=-0.3691, std=2.696, absmax=13.75 +2025-11-04 13:09:33,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=10.29, mean=-0.3514, std=2.564, absmax=11.17 +2025-11-04 13:09:34,240 ERROR: Encountered non-finite generator loss at iter 19735; skipping update. +2025-11-04 13:09:34,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:34,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.37, mean=-0.3121, std=2.981, absmax=12.92 +2025-11-04 13:09:34,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.16, mean=-0.3008, std=2.804, absmax=12.16 +2025-11-04 13:09:34,600 ERROR: Encountered non-finite generator loss at iter 19736; skipping update. +2025-11-04 13:09:34,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:34,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=10.33, mean=-0.187, std=2.378, absmax=11.18 +2025-11-04 13:09:34,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=9.686, mean=-0.1587, std=2.372, absmax=11.15 +2025-11-04 13:09:34,959 ERROR: Encountered non-finite generator loss at iter 19737; skipping update. +2025-11-04 13:09:34,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:34,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:34,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.21, mean=0.05383, std=3.401, absmax=13.23 +2025-11-04 13:09:34,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.23, mean=0.05167, std=3.121, absmax=11.91 +2025-11-04 13:09:35,320 ERROR: Encountered non-finite generator loss at iter 19738; skipping update. +2025-11-04 13:09:35,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:35,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:35,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:35,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:35,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=13.95, mean=-0.1265, std=3.065, absmax=14.83 +2025-11-04 13:09:35,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.06, max=10.67, mean=-0.1207, std=2.837, absmax=14.06 +2025-11-04 13:09:35,680 ERROR: Encountered non-finite generator loss at iter 19739; skipping update. +2025-11-04 13:09:35,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:35,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:35,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:35,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:35,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=15.11, mean=-0.3437, std=3.161, absmax=15.11 +2025-11-04 13:09:35,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=11.46, mean=-0.3272, std=2.878, absmax=13.05 +2025-11-04 13:09:36,040 ERROR: Encountered non-finite generator loss at iter 19740; skipping update. +2025-11-04 13:09:36,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,042 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:36,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=12.27, mean=-0.2403, std=3.409, absmax=13.71 +2025-11-04 13:09:36,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.25, mean=-0.2068, std=3.129, absmax=11.96 +2025-11-04 13:09:36,400 ERROR: Encountered non-finite generator loss at iter 19741; skipping update. +2025-11-04 13:09:36,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:36,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=14.78, mean=-0.1657, std=2.86, absmax=14.78 +2025-11-04 13:09:36,404 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=12.43, mean=-0.1683, std=2.68, absmax=12.43 +2025-11-04 13:09:36,759 ERROR: Encountered non-finite generator loss at iter 19742; skipping update. +2025-11-04 13:09:36,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:36,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:36,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.37, mean=-0.03716, std=3.513, absmax=14.37 +2025-11-04 13:09:36,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=13.94, mean=-0.02294, std=3.269, absmax=13.94 +2025-11-04 13:09:37,119 ERROR: Encountered non-finite generator loss at iter 19743; skipping update. +2025-11-04 13:09:37,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:37,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=16.65, mean=-0.2452, std=3.378, absmax=16.65 +2025-11-04 13:09:37,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=15.29, mean=-0.234, std=3.176, absmax=15.29 +2025-11-04 13:09:37,480 ERROR: Encountered non-finite generator loss at iter 19744; skipping update. +2025-11-04 13:09:37,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:37,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.53, mean=-0.08701, std=2.939, absmax=13.53 +2025-11-04 13:09:37,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.83, mean=-0.09392, std=2.818, absmax=12.83 +2025-11-04 13:09:37,839 ERROR: Encountered non-finite generator loss at iter 19745; skipping update. +2025-11-04 13:09:37,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:37,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:37,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.7, mean=-0.1261, std=2.535, absmax=12.14 +2025-11-04 13:09:37,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.65, mean=-0.1122, std=2.437, absmax=11.14 +2025-11-04 13:09:38,200 ERROR: Encountered non-finite generator loss at iter 19746; skipping update. +2025-11-04 13:09:38,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:38,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.67, mean=-0.2051, std=3.162, absmax=13.12 +2025-11-04 13:09:38,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.43, mean=-0.2088, std=2.916, absmax=12.58 +2025-11-04 13:09:38,559 ERROR: Encountered non-finite generator loss at iter 19747; skipping update. +2025-11-04 13:09:38,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:38,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=12.05, mean=-0.1022, std=2.791, absmax=12.05 +2025-11-04 13:09:38,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.332, max=10.15, mean=-0.05801, std=2.599, absmax=10.15 +2025-11-04 13:09:38,920 ERROR: Encountered non-finite generator loss at iter 19748; skipping update. +2025-11-04 13:09:38,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:38,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:38,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.63, mean=-0.125, std=3.075, absmax=13.56 +2025-11-04 13:09:38,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.59, mean=-0.1098, std=2.864, absmax=12.59 +2025-11-04 13:09:39,279 ERROR: Encountered non-finite generator loss at iter 19749; skipping update. +2025-11-04 13:09:39,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:39,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:39,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:39,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:39,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=11.96, mean=-0.09711, std=2.751, absmax=14.3 +2025-11-04 13:09:39,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.38, max=9.728, mean=-0.09904, std=2.504, absmax=13.38 +2025-11-04 13:09:39,640 ERROR: Encountered non-finite generator loss at iter 19750; skipping update. +2025-11-04 13:09:39,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:39,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:39,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:39,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:39,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.827, max=12.08, mean=-0.08523, std=2.668, absmax=12.08 +2025-11-04 13:09:39,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.416, max=10.66, mean=-0.09843, std=2.493, absmax=10.66 +2025-11-04 13:09:39,999 ERROR: Encountered non-finite generator loss at iter 19751; skipping update. +2025-11-04 13:09:40,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:40,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.93, mean=-0.09497, std=3.296, absmax=14.93 +2025-11-04 13:09:40,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=13.82, mean=-0.107, std=3.069, absmax=13.82 +2025-11-04 13:09:40,359 ERROR: Encountered non-finite generator loss at iter 19752; skipping update. +2025-11-04 13:09:40,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:40,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=15.08, mean=-0.07653, std=2.979, absmax=15.08 +2025-11-04 13:09:40,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=13.66, mean=-0.08131, std=2.855, absmax=13.66 +2025-11-04 13:09:40,720 ERROR: Encountered non-finite generator loss at iter 19753; skipping update. +2025-11-04 13:09:40,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:40,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:40,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.72, mean=-0.219, std=3.306, absmax=13.06 +2025-11-04 13:09:40,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=12.09, mean=-0.2167, std=3.002, absmax=12.99 +2025-11-04 13:09:41,079 ERROR: Encountered non-finite generator loss at iter 19754; skipping update. +2025-11-04 13:09:41,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:41,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.07, mean=-0.3195, std=2.897, absmax=12.86 +2025-11-04 13:09:41,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=9.455, mean=-0.2804, std=2.752, absmax=11.75 +2025-11-04 13:09:41,438 ERROR: Encountered non-finite generator loss at iter 19755; skipping update. +2025-11-04 13:09:41,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:41,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.38, mean=-0.3177, std=2.842, absmax=13.38 +2025-11-04 13:09:41,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.04, mean=-0.2812, std=2.693, absmax=12.04 +2025-11-04 13:09:41,799 ERROR: Encountered non-finite generator loss at iter 19756; skipping update. +2025-11-04 13:09:41,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:41,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:41,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.36, mean=-0.05136, std=2.628, absmax=12.63 +2025-11-04 13:09:41,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.84, mean=-0.04215, std=2.5, absmax=11.84 +2025-11-04 13:09:42,159 ERROR: Encountered non-finite generator loss at iter 19757; skipping update. +2025-11-04 13:09:42,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:42,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.23, max=15.9, mean=-0.1932, std=3.132, absmax=16.23 +2025-11-04 13:09:42,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.35, max=13.54, mean=-0.1389, std=2.942, absmax=13.54 +2025-11-04 13:09:42,519 ERROR: Encountered non-finite generator loss at iter 19758; skipping update. +2025-11-04 13:09:42,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:42,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.32, mean=-0.1646, std=3.049, absmax=13.89 +2025-11-04 13:09:42,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.29, mean=-0.1603, std=2.642, absmax=11.5 +2025-11-04 13:09:42,879 ERROR: Encountered non-finite generator loss at iter 19759; skipping update. +2025-11-04 13:09:42,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:42,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:42,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=10.77, mean=-0.306, std=2.926, absmax=13.31 +2025-11-04 13:09:42,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=9.21, mean=-0.2893, std=2.724, absmax=11.73 +2025-11-04 13:09:43,239 ERROR: Encountered non-finite generator loss at iter 19760; skipping update. +2025-11-04 13:09:43,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:43,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.34, mean=0.001624, std=2.937, absmax=13.34 +2025-11-04 13:09:43,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.95, mean=0.0338, std=2.744, absmax=11.38 +2025-11-04 13:09:43,599 ERROR: Encountered non-finite generator loss at iter 19761; skipping update. +2025-11-04 13:09:43,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:43,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.22, mean=-0.2447, std=2.803, absmax=12.81 +2025-11-04 13:09:43,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=10.84, mean=-0.2388, std=2.507, absmax=12.12 +2025-11-04 13:09:43,959 ERROR: Encountered non-finite generator loss at iter 19762; skipping update. +2025-11-04 13:09:43,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:43,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:43,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=16.54, mean=-0.03345, std=3.145, absmax=16.54 +2025-11-04 13:09:43,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=14.65, mean=0.004728, std=2.886, absmax=14.65 +2025-11-04 13:09:44,320 ERROR: Encountered non-finite generator loss at iter 19763; skipping update. +2025-11-04 13:09:44,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:44,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:44,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:44,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:44,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.24, mean=-0.2577, std=2.557, absmax=13.31 +2025-11-04 13:09:44,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=10.41, mean=-0.2318, std=2.28, absmax=11.12 +2025-11-04 13:09:44,679 ERROR: Encountered non-finite generator loss at iter 19764; skipping update. +2025-11-04 13:09:44,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:44,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:44,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:44,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:44,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=10.16, mean=-0.2941, std=2.899, absmax=11.91 +2025-11-04 13:09:44,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=8.596, mean=-0.3062, std=2.806, absmax=13.12 +2025-11-04 13:09:45,040 ERROR: Encountered non-finite generator loss at iter 19765; skipping update. +2025-11-04 13:09:45,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:45,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.39, mean=-0.2762, std=3.137, absmax=14.39 +2025-11-04 13:09:45,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=13.15, mean=-0.2738, std=2.927, absmax=13.15 +2025-11-04 13:09:45,400 ERROR: Encountered non-finite generator loss at iter 19766; skipping update. +2025-11-04 13:09:45,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:45,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.49, mean=0.01247, std=3.082, absmax=13.51 +2025-11-04 13:09:45,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.93, mean=-0.06721, std=2.82, absmax=11.93 +2025-11-04 13:09:45,759 ERROR: Encountered non-finite generator loss at iter 19767; skipping update. +2025-11-04 13:09:45,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:45,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:45,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.12, mean=-0.2956, std=2.837, absmax=13.12 +2025-11-04 13:09:45,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=12.01, mean=-0.2757, std=2.532, absmax=12.01 +2025-11-04 13:09:46,119 ERROR: Encountered non-finite generator loss at iter 19768; skipping update. +2025-11-04 13:09:46,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:46,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.85, mean=0.0984, std=3.142, absmax=14.85 +2025-11-04 13:09:46,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=14.44, mean=0.08662, std=2.94, absmax=14.44 +2025-11-04 13:09:46,478 ERROR: Encountered non-finite generator loss at iter 19769; skipping update. +2025-11-04 13:09:46,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:46,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.22, mean=-0.06546, std=2.595, absmax=12.54 +2025-11-04 13:09:46,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=10.19, mean=-0.08173, std=2.308, absmax=10.72 +2025-11-04 13:09:46,839 ERROR: Encountered non-finite generator loss at iter 19770; skipping update. +2025-11-04 13:09:46,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:46,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:46,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.85, mean=0.05846, std=3.413, absmax=13.85 +2025-11-04 13:09:46,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=13.04, mean=0.006465, std=3.15, absmax=13.04 +2025-11-04 13:09:47,199 ERROR: Encountered non-finite generator loss at iter 19771; skipping update. +2025-11-04 13:09:47,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:47,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.21, mean=-0.2487, std=2.888, absmax=13.21 +2025-11-04 13:09:47,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=10.59, mean=-0.2238, std=2.645, absmax=11.95 +2025-11-04 13:09:47,559 ERROR: Encountered non-finite generator loss at iter 19772; skipping update. +2025-11-04 13:09:47,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:47,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=11.09, mean=-0.1623, std=2.316, absmax=11.09 +2025-11-04 13:09:47,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.68, max=10.42, mean=-0.1418, std=2.21, absmax=10.42 +2025-11-04 13:09:47,919 ERROR: Encountered non-finite generator loss at iter 19773; skipping update. +2025-11-04 13:09:47,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:47,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:47,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.02, mean=-0.2367, std=3.185, absmax=14.02 +2025-11-04 13:09:47,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=12.02, mean=-0.219, std=3.079, absmax=12.5 +2025-11-04 13:09:48,279 ERROR: Encountered non-finite generator loss at iter 19774; skipping update. +2025-11-04 13:09:48,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:48,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:48,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:48,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:48,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=15.44, mean=0.08771, std=3.334, absmax=15.44 +2025-11-04 13:09:48,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=14.5, mean=0.0618, std=3.174, absmax=14.5 +2025-11-04 13:09:48,639 ERROR: Encountered non-finite generator loss at iter 19775; skipping update. +2025-11-04 13:09:48,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:48,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:48,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:48,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:48,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=18.99, mean=-0.2906, std=3.16, absmax=18.99 +2025-11-04 13:09:48,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=16.85, mean=-0.2558, std=2.9, absmax=16.85 +2025-11-04 13:09:48,999 ERROR: Encountered non-finite generator loss at iter 19776; skipping update. +2025-11-04 13:09:49,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:49,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=11.67, mean=-0.1328, std=2.958, absmax=14.33 +2025-11-04 13:09:49,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=10.23, mean=-0.1075, std=2.754, absmax=12.32 +2025-11-04 13:09:49,359 ERROR: Encountered non-finite generator loss at iter 19777; skipping update. +2025-11-04 13:09:49,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:49,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=12.08, mean=-0.09733, std=3.026, absmax=14.2 +2025-11-04 13:09:49,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.59, mean=-0.1129, std=2.781, absmax=12.72 +2025-11-04 13:09:49,720 ERROR: Encountered non-finite generator loss at iter 19778; skipping update. +2025-11-04 13:09:49,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:49,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:49,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=15.36, mean=-0.02985, std=3.302, absmax=15.36 +2025-11-04 13:09:49,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=12.65, mean=-0.04846, std=2.986, absmax=12.65 +2025-11-04 13:09:50,080 ERROR: Encountered non-finite generator loss at iter 19779; skipping update. +2025-11-04 13:09:50,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:50,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.45, mean=-0.01599, std=3.331, absmax=13.45 +2025-11-04 13:09:50,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.92, mean=-0.04658, std=3.009, absmax=11.89 +2025-11-04 13:09:50,441 ERROR: Encountered non-finite generator loss at iter 19780; skipping update. +2025-11-04 13:09:50,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,444 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:50,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.56, mean=0.2173, std=4.235, absmax=14.56 +2025-11-04 13:09:50,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=13.86, mean=0.175, std=3.965, absmax=13.86 +2025-11-04 13:09:50,802 ERROR: Encountered non-finite generator loss at iter 19781; skipping update. +2025-11-04 13:09:50,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:50,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:50,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=12.9, mean=-0.1277, std=2.933, absmax=12.9 +2025-11-04 13:09:50,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.11, mean=-0.1179, std=2.828, absmax=12.11 +2025-11-04 13:09:51,163 ERROR: Encountered non-finite generator loss at iter 19782; skipping update. +2025-11-04 13:09:51,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:51,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.4, mean=-0.03734, std=2.98, absmax=14.4 +2025-11-04 13:09:51,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=13.25, mean=-0.04328, std=2.795, absmax=13.25 +2025-11-04 13:09:51,523 ERROR: Encountered non-finite generator loss at iter 19783; skipping update. +2025-11-04 13:09:51,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:51,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=15.07, mean=-0.378, std=2.929, absmax=15.07 +2025-11-04 13:09:51,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=12.08, mean=-0.3466, std=2.735, absmax=12.08 +2025-11-04 13:09:51,883 ERROR: Encountered non-finite generator loss at iter 19784; skipping update. +2025-11-04 13:09:51,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:51,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:51,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=11.67, mean=-0.1395, std=3.248, absmax=14.15 +2025-11-04 13:09:51,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=11.82, mean=-0.07458, std=2.995, absmax=12.73 +2025-11-04 13:09:52,243 ERROR: Encountered non-finite generator loss at iter 19785; skipping update. +2025-11-04 13:09:52,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:52,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=12.07, mean=0.02734, std=2.632, absmax=12.07 +2025-11-04 13:09:52,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.973, max=10.53, mean=-0.008779, std=2.419, absmax=10.53 +2025-11-04 13:09:52,603 ERROR: Encountered non-finite generator loss at iter 19786; skipping update. +2025-11-04 13:09:52,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,605 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:52,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=12.64, mean=-0.2692, std=2.447, absmax=12.64 +2025-11-04 13:09:52,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=9.149, mean=-0.2806, std=2.323, absmax=10.9 +2025-11-04 13:09:52,963 ERROR: Encountered non-finite generator loss at iter 19787; skipping update. +2025-11-04 13:09:52,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:52,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:52,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.63, mean=-0.2323, std=2.799, absmax=12.63 +2025-11-04 13:09:52,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.51, mean=-0.2088, std=2.552, absmax=10.51 +2025-11-04 13:09:53,323 ERROR: Encountered non-finite generator loss at iter 19788; skipping update. +2025-11-04 13:09:53,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:53,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:53,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:53,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:53,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=13.33, mean=-0.2637, std=3.07, absmax=15.23 +2025-11-04 13:09:53,327 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=11.89, mean=-0.3004, std=2.78, absmax=13.65 +2025-11-04 13:09:53,683 ERROR: Encountered non-finite generator loss at iter 19789; skipping update. +2025-11-04 13:09:53,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:53,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:53,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:53,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:53,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=16.17, mean=-0.00435, std=3.811, absmax=16.17 +2025-11-04 13:09:53,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=16.44, mean=0.006963, std=3.542, absmax=16.44 +2025-11-04 13:09:54,043 ERROR: Encountered non-finite generator loss at iter 19790; skipping update. +2025-11-04 13:09:54,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,046 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,046 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:54,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=13.97, mean=0.09868, std=3.481, absmax=14.31 +2025-11-04 13:09:54,047 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.04, max=13.28, mean=0.1239, std=3.293, absmax=14.04 +2025-11-04 13:09:54,403 ERROR: Encountered non-finite generator loss at iter 19791; skipping update. +2025-11-04 13:09:54,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,406 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:54,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.68, mean=-0.05537, std=3.165, absmax=13.68 +2025-11-04 13:09:54,407 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=13.22, mean=-0.02686, std=3.039, absmax=13.22 +2025-11-04 13:09:54,764 ERROR: Encountered non-finite generator loss at iter 19792; skipping update. +2025-11-04 13:09:54,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:54,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:54,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11.28, mean=-0.2157, std=2.806, absmax=11.67 +2025-11-04 13:09:54,767 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=11.76, mean=-0.221, std=2.671, absmax=11.76 +2025-11-04 13:09:55,123 ERROR: Encountered non-finite generator loss at iter 19793; skipping update. +2025-11-04 13:09:55,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,126 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:55,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=16.5, mean=0.1192, std=3.07, absmax=16.5 +2025-11-04 13:09:55,127 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.79, max=15.28, mean=0.1272, std=2.993, absmax=15.28 +2025-11-04 13:09:55,483 ERROR: Encountered non-finite generator loss at iter 19794; skipping update. +2025-11-04 13:09:55,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:55,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=15.3, mean=-0.1602, std=2.866, absmax=15.3 +2025-11-04 13:09:55,486 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=10.75, mean=-0.1384, std=2.582, absmax=12.22 +2025-11-04 13:09:55,843 ERROR: Encountered non-finite generator loss at iter 19795; skipping update. +2025-11-04 13:09:55,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:55,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:55,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.81, mean=-0.3137, std=2.354, absmax=12.28 +2025-11-04 13:09:55,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.1, mean=-0.2672, std=2.232, absmax=11.1 +2025-11-04 13:09:56,204 ERROR: Encountered non-finite generator loss at iter 19796; skipping update. +2025-11-04 13:09:56,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:56,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=15.61, mean=0.1625, std=3.311, absmax=15.61 +2025-11-04 13:09:56,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=14.35, mean=0.1487, std=3.118, absmax=14.35 +2025-11-04 13:09:56,564 ERROR: Encountered non-finite generator loss at iter 19797; skipping update. +2025-11-04 13:09:56,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:56,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.65, mean=-0.2692, std=2.869, absmax=13.34 +2025-11-04 13:09:56,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.52, mean=-0.2657, std=2.681, absmax=12.72 +2025-11-04 13:09:56,924 ERROR: Encountered non-finite generator loss at iter 19798; skipping update. +2025-11-04 13:09:56,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:56,926 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:56,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=14.49, mean=0.2636, std=4.086, absmax=14.49 +2025-11-04 13:09:56,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=13.22, mean=0.2572, std=3.746, absmax=13.22 +2025-11-04 13:09:57,283 ERROR: Encountered non-finite generator loss at iter 19799; skipping update. +2025-11-04 13:09:57,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:57,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:57,285 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:57,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:57,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=16.74, mean=-0.1889, std=3.13, absmax=16.74 +2025-11-04 13:09:57,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=15.27, mean=-0.1258, std=2.964, absmax=15.27 +2025-11-04 13:09:57,644 ERROR: Encountered non-finite generator loss at iter 19800; skipping update. +2025-11-04 13:09:57,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:57,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:57,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:57,646 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:57,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=13.28, mean=0.04915, std=3.556, absmax=15.19 +2025-11-04 13:09:57,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.68, mean=0.07245, std=3.387, absmax=12.18 +2025-11-04 13:09:57,648 INFO: [38..][epoch: 0, step: 19,800, lr:(2.000e-04,)] [eta: 1 day, 8:49:37, time (data): 0.360 (0.000)] +2025-11-04 13:09:58,003 ERROR: Encountered non-finite generator loss at iter 19801; skipping update. +2025-11-04 13:09:58,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:58,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=14.15, mean=-0.2262, std=2.588, absmax=14.15 +2025-11-04 13:09:58,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=9.502, mean=-0.2097, std=2.503, absmax=10.4 +2025-11-04 13:09:58,363 ERROR: Encountered non-finite generator loss at iter 19802; skipping update. +2025-11-04 13:09:58,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:58,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.58, mean=-0.09434, std=2.807, absmax=14.58 +2025-11-04 13:09:58,367 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=13.09, mean=-0.1099, std=2.613, absmax=13.09 +2025-11-04 13:09:58,724 ERROR: Encountered non-finite generator loss at iter 19803; skipping update. +2025-11-04 13:09:58,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:58,726 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:58,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.12, mean=-0.1969, std=3.234, absmax=13.39 +2025-11-04 13:09:58,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.77, mean=-0.1706, std=2.996, absmax=11.57 +2025-11-04 13:09:59,083 ERROR: Encountered non-finite generator loss at iter 19804; skipping update. +2025-11-04 13:09:59,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:59,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=10.52, mean=-0.07558, std=2.69, absmax=11.83 +2025-11-04 13:09:59,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=9.643, mean=-0.09869, std=2.482, absmax=10.67 +2025-11-04 13:09:59,443 ERROR: Encountered non-finite generator loss at iter 19805; skipping update. +2025-11-04 13:09:59,445 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,446 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:59,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.53, mean=-0.09725, std=3.414, absmax=13.23 +2025-11-04 13:09:59,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=11.43, mean=-0.08315, std=3.206, absmax=13.76 +2025-11-04 13:09:59,803 ERROR: Encountered non-finite generator loss at iter 19806; skipping update. +2025-11-04 13:09:59,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:09:59,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:09:59,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.11, mean=-0.3026, std=2.574, absmax=12.27 +2025-11-04 13:09:59,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=10.45, mean=-0.2459, std=2.487, absmax=12.28 +2025-11-04 13:10:00,163 ERROR: Encountered non-finite generator loss at iter 19807; skipping update. +2025-11-04 13:10:00,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,166 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:00,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=16.09, mean=0.03302, std=2.986, absmax=16.09 +2025-11-04 13:10:00,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=14.64, mean=0.01892, std=2.807, absmax=14.64 +2025-11-04 13:10:00,523 ERROR: Encountered non-finite generator loss at iter 19808; skipping update. +2025-11-04 13:10:00,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:00,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.72, mean=-0.2346, std=2.533, absmax=13.29 +2025-11-04 13:10:00,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=10.86, mean=-0.2164, std=2.381, absmax=11.32 +2025-11-04 13:10:00,883 ERROR: Encountered non-finite generator loss at iter 19809; skipping update. +2025-11-04 13:10:00,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:00,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:00,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13, mean=-0.1974, std=2.965, absmax=13 +2025-11-04 13:10:00,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=10.73, mean=-0.1802, std=2.694, absmax=11.1 +2025-11-04 13:10:01,243 ERROR: Encountered non-finite generator loss at iter 19810; skipping update. +2025-11-04 13:10:01,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:01,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=12.21, mean=-0.1647, std=2.898, absmax=14.14 +2025-11-04 13:10:01,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.64, mean=-0.1415, std=2.693, absmax=11.64 +2025-11-04 13:10:01,604 ERROR: Encountered non-finite generator loss at iter 19811; skipping update. +2025-11-04 13:10:01,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:01,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.01, mean=-0.2766, std=2.724, absmax=13.01 +2025-11-04 13:10:01,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=11.1, mean=-0.2398, std=2.567, absmax=11.1 +2025-11-04 13:10:01,963 ERROR: Encountered non-finite generator loss at iter 19812; skipping update. +2025-11-04 13:10:01,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:01,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:01,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.76, mean=-0.009737, std=3.275, absmax=13.86 +2025-11-04 13:10:01,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=11.63, mean=-0.01463, std=2.978, absmax=11.84 +2025-11-04 13:10:02,323 ERROR: Encountered non-finite generator loss at iter 19813; skipping update. +2025-11-04 13:10:02,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:02,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:02,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:02,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:02,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=11.95, mean=-0.2222, std=2.481, absmax=14.58 +2025-11-04 13:10:02,327 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=9.513, mean=-0.221, std=2.314, absmax=11.13 +2025-11-04 13:10:02,683 ERROR: Encountered non-finite generator loss at iter 19814; skipping update. +2025-11-04 13:10:02,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:02,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:02,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:02,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:02,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.37, mean=-0.2166, std=2.672, absmax=13.37 +2025-11-04 13:10:02,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=11.22, mean=-0.224, std=2.462, absmax=11.22 +2025-11-04 13:10:03,042 ERROR: Encountered non-finite generator loss at iter 19815; skipping update. +2025-11-04 13:10:03,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:03,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.17, mean=-0.4217, std=3.323, absmax=13.46 +2025-11-04 13:10:03,046 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=10.61, mean=-0.3998, std=3.07, absmax=12.73 +2025-11-04 13:10:03,402 ERROR: Encountered non-finite generator loss at iter 19816; skipping update. +2025-11-04 13:10:03,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:03,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.03, mean=-0.276, std=3.004, absmax=14.03 +2025-11-04 13:10:03,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=11.61, mean=-0.2383, std=2.787, absmax=11.61 +2025-11-04 13:10:03,763 ERROR: Encountered non-finite generator loss at iter 19817; skipping update. +2025-11-04 13:10:03,764 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:03,765 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:03,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.66, mean=-0.04264, std=3.009, absmax=11.81 +2025-11-04 13:10:03,766 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.27, mean=-0.03545, std=2.85, absmax=11.53 +2025-11-04 13:10:04,123 ERROR: Encountered non-finite generator loss at iter 19818; skipping update. +2025-11-04 13:10:04,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:04,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.46, mean=-0.185, std=2.869, absmax=12.46 +2025-11-04 13:10:04,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=11.06, mean=-0.1664, std=2.54, absmax=11.06 +2025-11-04 13:10:04,483 ERROR: Encountered non-finite generator loss at iter 19819; skipping update. +2025-11-04 13:10:04,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:04,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.08, mean=-0.1869, std=3.18, absmax=14.08 +2025-11-04 13:10:04,486 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=10.42, mean=-0.1483, std=2.969, absmax=12.69 +2025-11-04 13:10:04,843 ERROR: Encountered non-finite generator loss at iter 19820; skipping update. +2025-11-04 13:10:04,845 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:04,846 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:04,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.69, mean=-0.1015, std=2.708, absmax=13.69 +2025-11-04 13:10:04,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=12, mean=-0.0579, std=2.55, absmax=12 +2025-11-04 13:10:05,203 ERROR: Encountered non-finite generator loss at iter 19821; skipping update. +2025-11-04 13:10:05,204 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,205 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:05,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=14.78, mean=-0.238, std=3.152, absmax=14.78 +2025-11-04 13:10:05,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.08, max=11.91, mean=-0.2216, std=2.9, absmax=14.08 +2025-11-04 13:10:05,563 ERROR: Encountered non-finite generator loss at iter 19822; skipping update. +2025-11-04 13:10:05,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:05,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.73, mean=-0.2408, std=3.082, absmax=13.86 +2025-11-04 13:10:05,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.16, mean=-0.2096, std=2.737, absmax=12.16 +2025-11-04 13:10:05,924 ERROR: Encountered non-finite generator loss at iter 19823; skipping update. +2025-11-04 13:10:05,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:05,926 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:05,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.83, mean=-0.2876, std=3.285, absmax=13.41 +2025-11-04 13:10:05,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=10.38, mean=-0.2402, std=3.024, absmax=12.45 +2025-11-04 13:10:06,283 ERROR: Encountered non-finite generator loss at iter 19824; skipping update. +2025-11-04 13:10:06,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:06,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:06,285 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:06,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:06,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=15.58, mean=-0.1402, std=3.248, absmax=15.58 +2025-11-04 13:10:06,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=15.08, mean=-0.09102, std=3.09, absmax=15.08 +2025-11-04 13:10:06,643 ERROR: Encountered non-finite generator loss at iter 19825; skipping update. +2025-11-04 13:10:06,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:06,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:06,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:06,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:06,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.8, mean=-0.1578, std=3.435, absmax=13.8 +2025-11-04 13:10:06,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=12.8, mean=-0.1747, std=3.093, absmax=12.8 +2025-11-04 13:10:07,003 ERROR: Encountered non-finite generator loss at iter 19826; skipping update. +2025-11-04 13:10:07,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,005 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:07,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=16.31, mean=0.08132, std=3.854, absmax=16.31 +2025-11-04 13:10:07,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=14.26, mean=0.06628, std=3.707, absmax=14.26 +2025-11-04 13:10:07,364 ERROR: Encountered non-finite generator loss at iter 19827; skipping update. +2025-11-04 13:10:07,365 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,366 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:07,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.77, mean=-0.2957, std=2.615, absmax=12.83 +2025-11-04 13:10:07,367 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=9.766, mean=-0.326, std=2.581, absmax=12.01 +2025-11-04 13:10:07,723 ERROR: Encountered non-finite generator loss at iter 19828; skipping update. +2025-11-04 13:10:07,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:07,726 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:07,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.99, mean=0.05719, std=3.515, absmax=14.99 +2025-11-04 13:10:07,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=14.09, mean=0.05285, std=3.256, absmax=14.09 +2025-11-04 13:10:08,083 ERROR: Encountered non-finite generator loss at iter 19829; skipping update. +2025-11-04 13:10:08,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:08,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=14.81, mean=-0.08225, std=2.658, absmax=14.81 +2025-11-04 13:10:08,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.374, max=13.12, mean=-0.09577, std=2.434, absmax=13.12 +2025-11-04 13:10:08,443 ERROR: Encountered non-finite generator loss at iter 19830; skipping update. +2025-11-04 13:10:08,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:08,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=17.28, mean=0.3155, std=4.152, absmax=17.28 +2025-11-04 13:10:08,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=15.21, mean=0.321, std=3.862, absmax=15.21 +2025-11-04 13:10:08,803 ERROR: Encountered non-finite generator loss at iter 19831; skipping update. +2025-11-04 13:10:08,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:08,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:08,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.44, mean=-0.1675, std=3.016, absmax=12.82 +2025-11-04 13:10:08,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=11.1, mean=-0.1475, std=2.843, absmax=12.54 +2025-11-04 13:10:09,163 ERROR: Encountered non-finite generator loss at iter 19832; skipping update. +2025-11-04 13:10:09,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:09,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=13.82, mean=-0.1204, std=2.7, absmax=13.82 +2025-11-04 13:10:09,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.932, max=13.01, mean=-0.09363, std=2.527, absmax=13.01 +2025-11-04 13:10:09,523 ERROR: Encountered non-finite generator loss at iter 19833; skipping update. +2025-11-04 13:10:09,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:09,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.78, mean=-0.2318, std=3.186, absmax=12.78 +2025-11-04 13:10:09,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=11.59, mean=-0.1874, std=2.899, absmax=11.59 +2025-11-04 13:10:09,883 ERROR: Encountered non-finite generator loss at iter 19834; skipping update. +2025-11-04 13:10:09,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,884 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:09,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:09,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.01, mean=-0.1661, std=2.903, absmax=13.13 +2025-11-04 13:10:09,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=11.98, mean=-0.1343, std=2.728, absmax=12.11 +2025-11-04 13:10:10,242 ERROR: Encountered non-finite generator loss at iter 19835; skipping update. +2025-11-04 13:10:10,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,244 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:10,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.73, mean=-0.06162, std=3.091, absmax=13.73 +2025-11-04 13:10:10,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=11.62, mean=-0.06787, std=2.822, absmax=11.8 +2025-11-04 13:10:10,602 ERROR: Encountered non-finite generator loss at iter 19836; skipping update. +2025-11-04 13:10:10,603 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:10,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.54, mean=-0.1313, std=3.593, absmax=14.17 +2025-11-04 13:10:10,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.79, mean=-0.122, std=3.304, absmax=13.03 +2025-11-04 13:10:10,962 ERROR: Encountered non-finite generator loss at iter 19837; skipping update. +2025-11-04 13:10:10,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:10,964 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:10,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=9.927, mean=-0.1882, std=2.735, absmax=12.2 +2025-11-04 13:10:10,965 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=8.32, mean=-0.188, std=2.629, absmax=10.96 +2025-11-04 13:10:11,322 ERROR: Encountered non-finite generator loss at iter 19838; skipping update. +2025-11-04 13:10:11,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:11,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:11,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:11,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:11,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=12.77, mean=-0.1002, std=3.07, absmax=13.88 +2025-11-04 13:10:11,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=10.75, mean=-0.121, std=2.86, absmax=10.75 +2025-11-04 13:10:11,682 ERROR: Encountered non-finite generator loss at iter 19839; skipping update. +2025-11-04 13:10:11,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:11,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:11,683 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:11,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:11,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=15.21, mean=-0.1051, std=2.834, absmax=15.51 +2025-11-04 13:10:11,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.52, max=14.2, mean=-0.1155, std=2.736, absmax=14.52 +2025-11-04 13:10:12,042 ERROR: Encountered non-finite generator loss at iter 19840; skipping update. +2025-11-04 13:10:12,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:12,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=9.571, mean=-0.1703, std=2.431, absmax=10.93 +2025-11-04 13:10:12,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.051, max=8.894, mean=-0.173, std=2.307, absmax=9.051 +2025-11-04 13:10:12,402 ERROR: Encountered non-finite generator loss at iter 19841; skipping update. +2025-11-04 13:10:12,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:12,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=16.19, mean=-0.1332, std=3.071, absmax=16.19 +2025-11-04 13:10:12,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=13.24, mean=-0.1459, std=2.823, absmax=13.24 +2025-11-04 13:10:12,762 ERROR: Encountered non-finite generator loss at iter 19842; skipping update. +2025-11-04 13:10:12,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:12,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:12,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=15.16, mean=-0.04289, std=3.775, absmax=15.16 +2025-11-04 13:10:12,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=15.04, mean=-0.07468, std=3.577, absmax=15.04 +2025-11-04 13:10:13,122 ERROR: Encountered non-finite generator loss at iter 19843; skipping update. +2025-11-04 13:10:13,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:13,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=12.86, mean=-0.03286, std=2.851, absmax=12.86 +2025-11-04 13:10:13,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=12.79, mean=0.02398, std=2.721, absmax=12.79 +2025-11-04 13:10:13,482 ERROR: Encountered non-finite generator loss at iter 19844; skipping update. +2025-11-04 13:10:13,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:13,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.22, mean=0.05911, std=3.6, absmax=14.15 +2025-11-04 13:10:13,486 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=12.48, mean=0.07041, std=3.347, absmax=12.5 +2025-11-04 13:10:13,842 ERROR: Encountered non-finite generator loss at iter 19845; skipping update. +2025-11-04 13:10:13,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,844 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:13,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:13,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=14.12, mean=-0.1726, std=2.354, absmax=14.12 +2025-11-04 13:10:13,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.613, max=10.93, mean=-0.1485, std=2.173, absmax=10.93 +2025-11-04 13:10:14,202 ERROR: Encountered non-finite generator loss at iter 19846; skipping update. +2025-11-04 13:10:14,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:14,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.32, mean=0.2066, std=3.422, absmax=14.32 +2025-11-04 13:10:14,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=14.19, mean=0.2477, std=3.288, absmax=14.19 +2025-11-04 13:10:14,561 ERROR: Encountered non-finite generator loss at iter 19847; skipping update. +2025-11-04 13:10:14,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:14,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=15.49, mean=-0.01317, std=3.093, absmax=15.49 +2025-11-04 13:10:14,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=14.56, mean=-0.01009, std=2.832, absmax=14.56 +2025-11-04 13:10:14,922 ERROR: Encountered non-finite generator loss at iter 19848; skipping update. +2025-11-04 13:10:14,923 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,924 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:14,924 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:14,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=10.62, mean=-0.302, std=2.87, absmax=11.56 +2025-11-04 13:10:14,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=10.77, mean=-0.2794, std=2.724, absmax=11.08 +2025-11-04 13:10:15,282 ERROR: Encountered non-finite generator loss at iter 19849; skipping update. +2025-11-04 13:10:15,283 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:15,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:15,284 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:15,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:15,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=14.84, mean=0.05888, std=3.332, absmax=14.84 +2025-11-04 13:10:15,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=13.3, mean=0.07998, std=3.064, absmax=13.3 +2025-11-04 13:10:15,642 ERROR: Encountered non-finite generator loss at iter 19850; skipping update. +2025-11-04 13:10:15,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:15,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:15,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:15,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:15,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.07, mean=-0.2666, std=2.933, absmax=13.07 +2025-11-04 13:10:15,646 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=10.11, mean=-0.2806, std=2.731, absmax=11.3 +2025-11-04 13:10:16,003 ERROR: Encountered non-finite generator loss at iter 19851; skipping update. +2025-11-04 13:10:16,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,005 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:16,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.49, mean=0.0476, std=2.753, absmax=12.49 +2025-11-04 13:10:16,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=11.63, mean=0.05974, std=2.619, absmax=11.63 +2025-11-04 13:10:16,363 ERROR: Encountered non-finite generator loss at iter 19852; skipping update. +2025-11-04 13:10:16,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:16,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.11, mean=-0.2366, std=2.64, absmax=13.11 +2025-11-04 13:10:16,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.04, mean=-0.2182, std=2.492, absmax=11.21 +2025-11-04 13:10:16,724 ERROR: Encountered non-finite generator loss at iter 19853; skipping update. +2025-11-04 13:10:16,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:16,726 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:16,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=12.44, mean=-0.3246, std=3.052, absmax=12.44 +2025-11-04 13:10:16,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=9.348, mean=-0.3026, std=2.747, absmax=10.59 +2025-11-04 13:10:17,083 ERROR: Encountered non-finite generator loss at iter 19854; skipping update. +2025-11-04 13:10:17,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:17,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=11.24, mean=-0.1438, std=2.562, absmax=11.24 +2025-11-04 13:10:17,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=11.11, mean=-0.1715, std=2.511, absmax=11.11 +2025-11-04 13:10:17,443 ERROR: Encountered non-finite generator loss at iter 19855; skipping update. +2025-11-04 13:10:17,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:17,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.09, mean=-0.06979, std=3.025, absmax=15.09 +2025-11-04 13:10:17,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=14.01, mean=-0.08163, std=2.786, absmax=14.01 +2025-11-04 13:10:17,803 ERROR: Encountered non-finite generator loss at iter 19856; skipping update. +2025-11-04 13:10:17,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:17,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:17,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.86, mean=-0.0474, std=2.797, absmax=12.86 +2025-11-04 13:10:17,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=12.38, mean=-0.04303, std=2.676, absmax=12.38 +2025-11-04 13:10:18,163 ERROR: Encountered non-finite generator loss at iter 19857; skipping update. +2025-11-04 13:10:18,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:18,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=18.31, mean=-0.08352, std=2.97, absmax=18.31 +2025-11-04 13:10:18,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=16.98, mean=-0.08278, std=2.744, absmax=16.98 +2025-11-04 13:10:18,523 ERROR: Encountered non-finite generator loss at iter 19858; skipping update. +2025-11-04 13:10:18,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:18,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.56, mean=-0.2107, std=3.107, absmax=11.56 +2025-11-04 13:10:18,527 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.87, mean=-0.2085, std=2.866, absmax=10.87 +2025-11-04 13:10:18,884 ERROR: Encountered non-finite generator loss at iter 19859; skipping update. +2025-11-04 13:10:18,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:18,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:18,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=11.36, mean=-0.2617, std=2.434, absmax=11.66 +2025-11-04 13:10:18,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=10.56, mean=-0.2378, std=2.335, absmax=10.56 +2025-11-04 13:10:19,243 ERROR: Encountered non-finite generator loss at iter 19860; skipping update. +2025-11-04 13:10:19,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:19,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=16.14, mean=-0.1372, std=2.877, absmax=16.14 +2025-11-04 13:10:19,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=13.19, mean=-0.1307, std=2.693, absmax=13.55 +2025-11-04 13:10:19,603 ERROR: Encountered non-finite generator loss at iter 19861; skipping update. +2025-11-04 13:10:19,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,605 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:19,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=16.25, mean=-0.3004, std=2.771, absmax=16.25 +2025-11-04 13:10:19,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.18, max=14.47, mean=-0.2519, std=2.665, absmax=14.47 +2025-11-04 13:10:19,963 ERROR: Encountered non-finite generator loss at iter 19862; skipping update. +2025-11-04 13:10:19,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:19,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:19,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.85, mean=-0.1987, std=2.879, absmax=13.85 +2025-11-04 13:10:19,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=11.94, mean=-0.1819, std=2.569, absmax=11.94 +2025-11-04 13:10:20,324 ERROR: Encountered non-finite generator loss at iter 19863; skipping update. +2025-11-04 13:10:20,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:20,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:20,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:20,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:20,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.32, mean=-0.3182, std=2.986, absmax=12.46 +2025-11-04 13:10:20,327 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=9.724, mean=-0.3091, std=2.769, absmax=11.53 +2025-11-04 13:10:20,684 ERROR: Encountered non-finite generator loss at iter 19864; skipping update. +2025-11-04 13:10:20,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:20,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:20,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:20,686 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:20,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=13.49, mean=-0.1971, std=3.241, absmax=14.76 +2025-11-04 13:10:20,687 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=11.91, mean=-0.1303, std=3.091, absmax=12.76 +2025-11-04 13:10:21,044 ERROR: Encountered non-finite generator loss at iter 19865; skipping update. +2025-11-04 13:10:21,045 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,046 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,046 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:21,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=10.32, mean=-0.2901, std=2.714, absmax=12.44 +2025-11-04 13:10:21,047 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=9.153, mean=-0.2652, std=2.499, absmax=12.31 +2025-11-04 13:10:21,403 ERROR: Encountered non-finite generator loss at iter 19866; skipping update. +2025-11-04 13:10:21,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:21,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=11.56, mean=-0.0674, std=2.606, absmax=11.56 +2025-11-04 13:10:21,407 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.84, max=9.343, mean=-0.03746, std=2.369, absmax=9.84 +2025-11-04 13:10:21,763 ERROR: Encountered non-finite generator loss at iter 19867; skipping update. +2025-11-04 13:10:21,764 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:21,765 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:21,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=10.16, mean=-0.3789, std=2.657, absmax=10.92 +2025-11-04 13:10:21,766 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=9.632, mean=-0.4209, std=2.621, absmax=10.53 +2025-11-04 13:10:22,123 ERROR: Encountered non-finite generator loss at iter 19868; skipping update. +2025-11-04 13:10:22,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:22,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.63, mean=0.1981, std=3.549, absmax=14.63 +2025-11-04 13:10:22,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.43, mean=0.1583, std=3.288, absmax=13.43 +2025-11-04 13:10:22,483 ERROR: Encountered non-finite generator loss at iter 19869; skipping update. +2025-11-04 13:10:22,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:22,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.11, max=12.2, mean=-0.2944, std=3.367, absmax=16.11 +2025-11-04 13:10:22,486 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.04, max=10.73, mean=-0.2455, std=3.163, absmax=15.04 +2025-11-04 13:10:22,843 ERROR: Encountered non-finite generator loss at iter 19870; skipping update. +2025-11-04 13:10:22,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:22,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:22,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=10.77, mean=-0.1472, std=2.422, absmax=11.85 +2025-11-04 13:10:22,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=9.435, mean=-0.136, std=2.263, absmax=11.04 +2025-11-04 13:10:23,202 ERROR: Encountered non-finite generator loss at iter 19871; skipping update. +2025-11-04 13:10:23,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:23,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.3, mean=-0.1896, std=3.121, absmax=13.3 +2025-11-04 13:10:23,206 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.09, mean=-0.1877, std=2.955, absmax=12.18 +2025-11-04 13:10:23,562 ERROR: Encountered non-finite generator loss at iter 19872; skipping update. +2025-11-04 13:10:23,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:23,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.53, max=14.16, mean=0.02714, std=3.168, absmax=15.53 +2025-11-04 13:10:23,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=13.4, mean=0.02989, std=2.932, absmax=13.4 +2025-11-04 13:10:23,923 ERROR: Encountered non-finite generator loss at iter 19873; skipping update. +2025-11-04 13:10:23,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,925 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:23,926 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:23,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=12.56, mean=-0.1403, std=2.424, absmax=12.56 +2025-11-04 13:10:23,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=10.73, mean=-0.174, std=2.317, absmax=10.73 +2025-11-04 13:10:24,282 ERROR: Encountered non-finite generator loss at iter 19874; skipping update. +2025-11-04 13:10:24,283 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:24,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:24,284 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:24,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:24,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.65, mean=-0.1017, std=3.462, absmax=12.65 +2025-11-04 13:10:24,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.65, mean=-0.07943, std=3.135, absmax=11.65 +2025-11-04 13:10:24,643 ERROR: Encountered non-finite generator loss at iter 19875; skipping update. +2025-11-04 13:10:24,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:24,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:24,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:24,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:24,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.68, mean=0.009894, std=2.574, absmax=12.03 +2025-11-04 13:10:24,646 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=11.37, mean=0.02683, std=2.438, absmax=11.37 +2025-11-04 13:10:25,003 ERROR: Encountered non-finite generator loss at iter 19876; skipping update. +2025-11-04 13:10:25,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,005 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:25,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.41, mean=-0.1924, std=2.836, absmax=12.74 +2025-11-04 13:10:25,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.09, mean=-0.1637, std=2.668, absmax=12.09 +2025-11-04 13:10:25,362 ERROR: Encountered non-finite generator loss at iter 19877; skipping update. +2025-11-04 13:10:25,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,364 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:25,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.68, mean=-0.1903, std=2.839, absmax=12.81 +2025-11-04 13:10:25,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=11.64, mean=-0.17, std=2.584, absmax=12.73 +2025-11-04 13:10:25,725 ERROR: Encountered non-finite generator loss at iter 19878; skipping update. +2025-11-04 13:10:25,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:25,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:25,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.12, mean=-0.1904, std=2.9, absmax=13.12 +2025-11-04 13:10:25,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=9.698, mean=-0.2116, std=2.668, absmax=11.2 +2025-11-04 13:10:26,085 ERROR: Encountered non-finite generator loss at iter 19879; skipping update. +2025-11-04 13:10:26,086 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,087 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:26,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.8, mean=-0.3041, std=2.893, absmax=12.8 +2025-11-04 13:10:26,088 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=12.07, mean=-0.2769, std=2.752, absmax=12.07 +2025-11-04 13:10:26,445 ERROR: Encountered non-finite generator loss at iter 19880; skipping update. +2025-11-04 13:10:26,446 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,447 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,447 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:26,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=10.15, mean=-0.3097, std=2.562, absmax=11.29 +2025-11-04 13:10:26,448 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=7.976, mean=-0.3127, std=2.453, absmax=11.44 +2025-11-04 13:10:26,804 ERROR: Encountered non-finite generator loss at iter 19881; skipping update. +2025-11-04 13:10:26,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:26,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:26,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=16.8, mean=-0.04936, std=3.025, absmax=16.8 +2025-11-04 13:10:26,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=14.5, mean=0.02078, std=2.889, absmax=14.5 +2025-11-04 13:10:27,164 ERROR: Encountered non-finite generator loss at iter 19882; skipping update. +2025-11-04 13:10:27,165 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,166 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,166 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:27,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=13.39, mean=-0.2027, std=3.156, absmax=14.32 +2025-11-04 13:10:27,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.35, mean=-0.2149, std=2.894, absmax=11.39 +2025-11-04 13:10:27,524 ERROR: Encountered non-finite generator loss at iter 19883; skipping update. +2025-11-04 13:10:27,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:27,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.09, mean=-0.1485, std=2.977, absmax=13.06 +2025-11-04 13:10:27,527 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=9.876, mean=-0.07229, std=2.865, absmax=11.06 +2025-11-04 13:10:27,883 ERROR: Encountered non-finite generator loss at iter 19884; skipping update. +2025-11-04 13:10:27,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:27,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:27,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.49, mean=-0.03472, std=3.464, absmax=13.49 +2025-11-04 13:10:27,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=12.67, mean=-0.03986, std=3.219, absmax=12.67 +2025-11-04 13:10:28,243 ERROR: Encountered non-finite generator loss at iter 19885; skipping update. +2025-11-04 13:10:28,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:28,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.55, mean=-0.167, std=2.866, absmax=14.55 +2025-11-04 13:10:28,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=12.69, mean=-0.148, std=2.665, absmax=12.69 +2025-11-04 13:10:28,602 ERROR: Encountered non-finite generator loss at iter 19886; skipping update. +2025-11-04 13:10:28,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:28,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.71, mean=-0.2793, std=2.817, absmax=13.46 +2025-11-04 13:10:28,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=12.62, mean=-0.2315, std=2.715, absmax=13.07 +2025-11-04 13:10:28,963 ERROR: Encountered non-finite generator loss at iter 19887; skipping update. +2025-11-04 13:10:28,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:28,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:28,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=9.746, mean=-0.2668, std=2.654, absmax=12.08 +2025-11-04 13:10:28,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.477, mean=-0.2621, std=2.514, absmax=11.4 +2025-11-04 13:10:29,323 ERROR: Encountered non-finite generator loss at iter 19888; skipping update. +2025-11-04 13:10:29,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:29,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:29,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:29,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:29,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.95, mean=-0.2082, std=3.027, absmax=13.95 +2025-11-04 13:10:29,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.49, mean=-0.2397, std=2.793, absmax=11.49 +2025-11-04 13:10:29,683 ERROR: Encountered non-finite generator loss at iter 19889; skipping update. +2025-11-04 13:10:29,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:29,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:29,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:29,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:29,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.38, mean=-0.09289, std=2.851, absmax=12.38 +2025-11-04 13:10:29,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.19, mean=-0.07372, std=2.647, absmax=11.55 +2025-11-04 13:10:30,043 ERROR: Encountered non-finite generator loss at iter 19890; skipping update. +2025-11-04 13:10:30,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,045 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:30,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.26, mean=-0.1415, std=2.609, absmax=12.26 +2025-11-04 13:10:30,047 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=10.01, mean=-0.1308, std=2.407, absmax=11.36 +2025-11-04 13:10:30,403 ERROR: Encountered non-finite generator loss at iter 19891; skipping update. +2025-11-04 13:10:30,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:30,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.87, mean=-0.0801, std=2.75, absmax=12.12 +2025-11-04 13:10:30,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=11.02, mean=-0.05443, std=2.564, absmax=11.76 +2025-11-04 13:10:30,763 ERROR: Encountered non-finite generator loss at iter 19892; skipping update. +2025-11-04 13:10:30,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:30,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:30,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=10.48, mean=-0.2204, std=2.71, absmax=12.16 +2025-11-04 13:10:30,767 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=9.771, mean=-0.2397, std=2.558, absmax=11.84 +2025-11-04 13:10:31,123 ERROR: Encountered non-finite generator loss at iter 19893; skipping update. +2025-11-04 13:10:31,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:31,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.8, mean=-0.1162, std=3.074, absmax=15.8 +2025-11-04 13:10:31,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=13.99, mean=-0.1448, std=2.873, absmax=13.99 +2025-11-04 13:10:31,483 ERROR: Encountered non-finite generator loss at iter 19894; skipping update. +2025-11-04 13:10:31,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:31,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.28, max=14.21, mean=-0.04593, std=3.554, absmax=16.28 +2025-11-04 13:10:31,486 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.48, mean=-0.03716, std=3.223, absmax=12.3 +2025-11-04 13:10:31,843 ERROR: Encountered non-finite generator loss at iter 19895; skipping update. +2025-11-04 13:10:31,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:31,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:31,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=10.98, mean=-0.2306, std=2.902, absmax=12.98 +2025-11-04 13:10:31,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=10.52, mean=-0.2141, std=2.621, absmax=13.65 +2025-11-04 13:10:32,203 ERROR: Encountered non-finite generator loss at iter 19896; skipping update. +2025-11-04 13:10:32,204 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:32,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.81, mean=-0.1948, std=3.118, absmax=13.24 +2025-11-04 13:10:32,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=11.65, mean=-0.181, std=2.894, absmax=13.01 +2025-11-04 13:10:32,563 ERROR: Encountered non-finite generator loss at iter 19897; skipping update. +2025-11-04 13:10:32,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:32,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=13.76, mean=-0.07421, std=3.373, absmax=14.01 +2025-11-04 13:10:32,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.21, max=12.83, mean=-0.05713, std=3.174, absmax=13.21 +2025-11-04 13:10:32,923 ERROR: Encountered non-finite generator loss at iter 19898; skipping update. +2025-11-04 13:10:32,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,925 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:32,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:32,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.28, mean=-0.08997, std=2.711, absmax=14.28 +2025-11-04 13:10:32,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=12.51, mean=-0.07512, std=2.478, absmax=12.51 +2025-11-04 13:10:33,283 ERROR: Encountered non-finite generator loss at iter 19899; skipping update. +2025-11-04 13:10:33,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:33,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:33,285 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:33,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:33,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.37, mean=-0.3266, std=3.03, absmax=13.37 +2025-11-04 13:10:33,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.03, mean=-0.3084, std=2.809, absmax=11.36 +2025-11-04 13:10:33,643 ERROR: Encountered non-finite generator loss at iter 19900; skipping update. +2025-11-04 13:10:33,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:33,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:33,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:33,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:33,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.63, mean=0.03732, std=3.327, absmax=14.63 +2025-11-04 13:10:33,646 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=13.52, mean=0.08251, std=3.088, absmax=13.52 +2025-11-04 13:10:33,647 INFO: [38..][epoch: 0, step: 19,900, lr:(2.000e-04,)] [eta: 1 day, 8:41:01, time (data): 0.360 (0.000)] +2025-11-04 13:10:34,004 ERROR: Encountered non-finite generator loss at iter 19901; skipping update. +2025-11-04 13:10:34,005 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:34,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.77, mean=-0.1221, std=3.079, absmax=13.77 +2025-11-04 13:10:34,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=11.77, mean=-0.1045, std=2.907, absmax=12.42 +2025-11-04 13:10:34,363 ERROR: Encountered non-finite generator loss at iter 19902; skipping update. +2025-11-04 13:10:34,363 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,364 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:34,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=15.15, mean=-0.0864, std=2.936, absmax=15.15 +2025-11-04 13:10:34,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=15.17, mean=-0.07039, std=2.719, absmax=15.17 +2025-11-04 13:10:34,723 ERROR: Encountered non-finite generator loss at iter 19903; skipping update. +2025-11-04 13:10:34,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:34,725 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:34,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=10.42, mean=-0.2734, std=2.782, absmax=12.42 +2025-11-04 13:10:34,726 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=9.434, mean=-0.2792, std=2.646, absmax=12.5 +2025-11-04 13:10:35,082 ERROR: Encountered non-finite generator loss at iter 19904; skipping update. +2025-11-04 13:10:35,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:35,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.93, mean=-0.03796, std=2.87, absmax=14.93 +2025-11-04 13:10:35,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.97, mean=-0.02386, std=2.671, absmax=12.97 +2025-11-04 13:10:35,443 ERROR: Encountered non-finite generator loss at iter 19905; skipping update. +2025-11-04 13:10:35,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:35,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=12.65, mean=-0.3016, std=3.481, absmax=14.6 +2025-11-04 13:10:35,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=11.48, mean=-0.2536, std=3.353, absmax=12.48 +2025-11-04 13:10:35,805 ERROR: Encountered non-finite generator loss at iter 19906; skipping update. +2025-11-04 13:10:35,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:35,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:35,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=14.62, mean=0.005357, std=3.938, absmax=14.93 +2025-11-04 13:10:35,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=13.21, mean=-0.01421, std=3.591, absmax=13.21 +2025-11-04 13:10:36,174 ERROR: Encountered non-finite generator loss at iter 19907; skipping update. +2025-11-04 13:10:36,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,175 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:36,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.34, mean=-0.2008, std=2.872, absmax=12.34 +2025-11-04 13:10:36,177 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=10.79, mean=-0.173, std=2.752, absmax=10.93 +2025-11-04 13:10:36,534 ERROR: Encountered non-finite generator loss at iter 19908; skipping update. +2025-11-04 13:10:36,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:36,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=12.11, mean=-0.3624, std=3.022, absmax=13.95 +2025-11-04 13:10:36,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=9.421, mean=-0.3307, std=2.88, absmax=11.82 +2025-11-04 13:10:36,897 ERROR: Encountered non-finite generator loss at iter 19909; skipping update. +2025-11-04 13:10:36,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:36,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:36,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.58, mean=-0.1697, std=2.818, absmax=13.58 +2025-11-04 13:10:36,901 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.84, mean=-0.1728, std=2.494, absmax=12.84 +2025-11-04 13:10:37,257 ERROR: Encountered non-finite generator loss at iter 19910; skipping update. +2025-11-04 13:10:37,259 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:37,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.33, mean=-0.2186, std=2.8, absmax=14.33 +2025-11-04 13:10:37,261 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=13.35, mean=-0.1816, std=2.615, absmax=13.35 +2025-11-04 13:10:37,618 ERROR: Encountered non-finite generator loss at iter 19911; skipping update. +2025-11-04 13:10:37,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:37,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=17.12, mean=-0.1554, std=3.032, absmax=17.12 +2025-11-04 13:10:37,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=15.1, mean=-0.104, std=2.807, absmax=15.1 +2025-11-04 13:10:37,977 ERROR: Encountered non-finite generator loss at iter 19912; skipping update. +2025-11-04 13:10:37,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:37,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:37,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=13.24, mean=0.06161, std=3.36, absmax=13.84 +2025-11-04 13:10:37,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=12.88, mean=0.05162, std=3.174, absmax=12.88 +2025-11-04 13:10:38,337 ERROR: Encountered non-finite generator loss at iter 19913; skipping update. +2025-11-04 13:10:38,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:38,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:38,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:38,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:38,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.82, mean=-0.02985, std=2.935, absmax=13.82 +2025-11-04 13:10:38,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=12.67, mean=-0.05625, std=2.837, absmax=12.67 +2025-11-04 13:10:38,697 ERROR: Encountered non-finite generator loss at iter 19914; skipping update. +2025-11-04 13:10:38,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:38,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:38,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:38,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:38,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.72, mean=-0.141, std=2.624, absmax=13.72 +2025-11-04 13:10:38,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.62, mean=-0.09928, std=2.481, absmax=12.62 +2025-11-04 13:10:39,056 ERROR: Encountered non-finite generator loss at iter 19915; skipping update. +2025-11-04 13:10:39,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:39,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=14.53, mean=-0.269, std=3.035, absmax=14.53 +2025-11-04 13:10:39,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=13.46, mean=-0.2306, std=2.794, absmax=13.46 +2025-11-04 13:10:39,417 ERROR: Encountered non-finite generator loss at iter 19916; skipping update. +2025-11-04 13:10:39,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:39,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=10.77, mean=-0.2388, std=2.962, absmax=13.26 +2025-11-04 13:10:39,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10.36, mean=-0.2175, std=2.742, absmax=12.05 +2025-11-04 13:10:39,777 ERROR: Encountered non-finite generator loss at iter 19917; skipping update. +2025-11-04 13:10:39,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:39,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:39,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=10.67, mean=-0.3204, std=2.535, absmax=12.04 +2025-11-04 13:10:39,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=8.923, mean=-0.2899, std=2.445, absmax=11.32 +2025-11-04 13:10:40,137 ERROR: Encountered non-finite generator loss at iter 19918; skipping update. +2025-11-04 13:10:40,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:40,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=11.62, mean=-0.2876, std=2.935, absmax=14.36 +2025-11-04 13:10:40,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.33, mean=-0.2829, std=2.763, absmax=11.59 +2025-11-04 13:10:40,497 ERROR: Encountered non-finite generator loss at iter 19919; skipping update. +2025-11-04 13:10:40,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:40,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=13.34, mean=-0.07396, std=2.845, absmax=13.34 +2025-11-04 13:10:40,501 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=12.68, mean=-0.03186, std=2.869, absmax=12.68 +2025-11-04 13:10:40,857 ERROR: Encountered non-finite generator loss at iter 19920; skipping update. +2025-11-04 13:10:40,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:40,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:40,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=14.32, mean=0.1215, std=3.794, absmax=14.32 +2025-11-04 13:10:40,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=13.56, mean=0.1587, std=3.444, absmax=13.56 +2025-11-04 13:10:41,217 ERROR: Encountered non-finite generator loss at iter 19921; skipping update. +2025-11-04 13:10:41,219 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,220 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:41,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.45, mean=0.0909, std=3.647, absmax=14.45 +2025-11-04 13:10:41,221 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=13.69, mean=0.06139, std=3.359, absmax=13.69 +2025-11-04 13:10:41,577 ERROR: Encountered non-finite generator loss at iter 19922; skipping update. +2025-11-04 13:10:41,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:41,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.23, mean=-0.3488, std=3.103, absmax=13.82 +2025-11-04 13:10:41,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=11.41, mean=-0.321, std=2.81, absmax=11.41 +2025-11-04 13:10:41,937 ERROR: Encountered non-finite generator loss at iter 19923; skipping update. +2025-11-04 13:10:41,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:41,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:41,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.95, mean=-0.03975, std=3.147, absmax=14.95 +2025-11-04 13:10:41,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=12.59, mean=-0.01947, std=2.871, absmax=12.59 +2025-11-04 13:10:42,297 ERROR: Encountered non-finite generator loss at iter 19924; skipping update. +2025-11-04 13:10:42,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:42,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:42,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:42,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:42,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=12.05, mean=-0.2037, std=2.691, absmax=12.05 +2025-11-04 13:10:42,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11, mean=-0.1729, std=2.494, absmax=11 +2025-11-04 13:10:42,657 ERROR: Encountered non-finite generator loss at iter 19925; skipping update. +2025-11-04 13:10:42,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:42,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:42,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:42,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:42,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=10.1, mean=0.02796, std=2.61, absmax=11.59 +2025-11-04 13:10:42,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.68, max=10.11, mean=0.01823, std=2.441, absmax=10.11 +2025-11-04 13:10:43,016 ERROR: Encountered non-finite generator loss at iter 19926; skipping update. +2025-11-04 13:10:43,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:43,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=14, mean=-0.06283, std=3.251, absmax=14 +2025-11-04 13:10:43,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.61, mean=-0.03802, std=2.878, absmax=11.61 +2025-11-04 13:10:43,377 ERROR: Encountered non-finite generator loss at iter 19927; skipping update. +2025-11-04 13:10:43,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:43,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=14.03, mean=-0.3114, std=3.301, absmax=14.03 +2025-11-04 13:10:43,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=12.34, mean=-0.2971, std=3.038, absmax=12.34 +2025-11-04 13:10:43,737 ERROR: Encountered non-finite generator loss at iter 19928; skipping update. +2025-11-04 13:10:43,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:43,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:43,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=14.27, mean=-0.0889, std=2.78, absmax=14.27 +2025-11-04 13:10:43,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.84, mean=-0.109, std=2.515, absmax=11.84 +2025-11-04 13:10:44,097 ERROR: Encountered non-finite generator loss at iter 19929; skipping update. +2025-11-04 13:10:44,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:44,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.81, mean=-0.1852, std=2.934, absmax=11.81 +2025-11-04 13:10:44,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.25, mean=-0.1775, std=2.655, absmax=11.16 +2025-11-04 13:10:44,456 ERROR: Encountered non-finite generator loss at iter 19930; skipping update. +2025-11-04 13:10:44,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:44,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.22, mean=-0.246, std=2.732, absmax=13 +2025-11-04 13:10:44,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=9.317, mean=-0.2705, std=2.575, absmax=11.31 +2025-11-04 13:10:44,815 ERROR: Encountered non-finite generator loss at iter 19931; skipping update. +2025-11-04 13:10:44,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,816 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:44,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:44,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.66, mean=-0.01435, std=3.085, absmax=14.66 +2025-11-04 13:10:44,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=13.21, mean=0.01336, std=2.83, absmax=13.21 +2025-11-04 13:10:45,174 ERROR: Encountered non-finite generator loss at iter 19932; skipping update. +2025-11-04 13:10:45,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,175 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,175 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:45,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.64, mean=-0.1962, std=2.751, absmax=13.64 +2025-11-04 13:10:45,176 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=12.11, mean=-0.2128, std=2.517, absmax=12.11 +2025-11-04 13:10:45,533 ERROR: Encountered non-finite generator loss at iter 19933; skipping update. +2025-11-04 13:10:45,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:45,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=10.72, mean=-0.3346, std=2.455, absmax=11.24 +2025-11-04 13:10:45,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=9.879, mean=-0.2826, std=2.397, absmax=10.71 +2025-11-04 13:10:45,893 ERROR: Encountered non-finite generator loss at iter 19934; skipping update. +2025-11-04 13:10:45,894 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:45,894 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:45,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.96, mean=-0.1924, std=2.843, absmax=11.96 +2025-11-04 13:10:45,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=10.36, mean=-0.146, std=2.624, absmax=10.93 +2025-11-04 13:10:46,252 ERROR: Encountered non-finite generator loss at iter 19935; skipping update. +2025-11-04 13:10:46,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:46,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.41, mean=-0.2104, std=3.112, absmax=13.41 +2025-11-04 13:10:46,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.2, mean=-0.1536, std=2.975, absmax=12.2 +2025-11-04 13:10:46,611 ERROR: Encountered non-finite generator loss at iter 19936; skipping update. +2025-11-04 13:10:46,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,612 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:46,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.62, mean=-0.04523, std=3.2, absmax=11.87 +2025-11-04 13:10:46,614 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.22, max=11.72, mean=-0.03435, std=3.015, absmax=11.72 +2025-11-04 13:10:46,971 ERROR: Encountered non-finite generator loss at iter 19937; skipping update. +2025-11-04 13:10:46,971 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,972 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:46,972 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:46,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=15.57, mean=0.04064, std=3.142, absmax=15.57 +2025-11-04 13:10:46,973 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=13.76, mean=0.02529, std=3.055, absmax=13.76 +2025-11-04 13:10:47,330 ERROR: Encountered non-finite generator loss at iter 19938; skipping update. +2025-11-04 13:10:47,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:47,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:47,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:47,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:47,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.93, mean=-0.06718, std=2.752, absmax=11.93 +2025-11-04 13:10:47,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.918, max=9.852, mean=-0.06748, std=2.512, absmax=9.918 +2025-11-04 13:10:47,688 ERROR: Encountered non-finite generator loss at iter 19939; skipping update. +2025-11-04 13:10:47,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:47,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:47,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:47,690 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:47,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=12.94, mean=-0.2702, std=2.871, absmax=12.94 +2025-11-04 13:10:47,691 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=10, mean=-0.2498, std=2.64, absmax=10.19 +2025-11-04 13:10:48,047 ERROR: Encountered non-finite generator loss at iter 19940; skipping update. +2025-11-04 13:10:48,048 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,049 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,049 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:48,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.16, mean=-0.1938, std=2.94, absmax=13.17 +2025-11-04 13:10:48,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=10.66, mean=-0.1535, std=2.712, absmax=11.55 +2025-11-04 13:10:48,408 ERROR: Encountered non-finite generator loss at iter 19941; skipping update. +2025-11-04 13:10:48,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,410 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:48,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.88, mean=-0.06878, std=3.698, absmax=12.88 +2025-11-04 13:10:48,411 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.04, mean=-0.05862, std=3.419, absmax=12.04 +2025-11-04 13:10:48,768 ERROR: Encountered non-finite generator loss at iter 19942; skipping update. +2025-11-04 13:10:48,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,769 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:48,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:48,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.97, mean=-0.08703, std=3.096, absmax=13.51 +2025-11-04 13:10:48,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=11.53, mean=-0.1114, std=2.863, absmax=12.65 +2025-11-04 13:10:49,127 ERROR: Encountered non-finite generator loss at iter 19943; skipping update. +2025-11-04 13:10:49,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,128 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,128 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:49,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=11.21, mean=-0.2528, std=2.99, absmax=14.41 +2025-11-04 13:10:49,129 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=10.25, mean=-0.2382, std=2.895, absmax=12.44 +2025-11-04 13:10:49,486 ERROR: Encountered non-finite generator loss at iter 19944; skipping update. +2025-11-04 13:10:49,487 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,488 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:49,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.42, mean=-0.179, std=2.362, absmax=12.42 +2025-11-04 13:10:49,489 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.428, max=10.88, mean=-0.2064, std=2.146, absmax=10.88 +2025-11-04 13:10:49,845 ERROR: Encountered non-finite generator loss at iter 19945; skipping update. +2025-11-04 13:10:49,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:49,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:49,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.66, mean=-0.146, std=2.803, absmax=12.53 +2025-11-04 13:10:49,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=9.894, mean=-0.149, std=2.754, absmax=12.14 +2025-11-04 13:10:50,204 ERROR: Encountered non-finite generator loss at iter 19946; skipping update. +2025-11-04 13:10:50,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:50,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.08, mean=-0.2184, std=3.122, absmax=14.09 +2025-11-04 13:10:50,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=11.2, mean=-0.193, std=2.967, absmax=12.31 +2025-11-04 13:10:50,563 ERROR: Encountered non-finite generator loss at iter 19947; skipping update. +2025-11-04 13:10:50,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:50,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=10.11, mean=-0.1706, std=2.565, absmax=11.76 +2025-11-04 13:10:50,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.06, mean=-0.1656, std=2.415, absmax=10.68 +2025-11-04 13:10:50,924 ERROR: Encountered non-finite generator loss at iter 19948; skipping update. +2025-11-04 13:10:50,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:50,928 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:50,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.18, max=18.95, mean=-0.2807, std=3.5, absmax=18.95 +2025-11-04 13:10:50,930 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.61, max=17.42, mean=-0.3171, std=3.274, absmax=17.42 +2025-11-04 13:10:51,288 ERROR: Encountered non-finite generator loss at iter 19949; skipping update. +2025-11-04 13:10:51,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:51,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:51,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:51,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:51,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=10.62, mean=-0.2016, std=2.829, absmax=12.24 +2025-11-04 13:10:51,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=10.51, mean=-0.2039, std=2.677, absmax=10.77 +2025-11-04 13:10:51,652 ERROR: Encountered non-finite generator loss at iter 19950; skipping update. +2025-11-04 13:10:51,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:51,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:51,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:51,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:51,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=10.65, mean=-0.3117, std=2.874, absmax=13.79 +2025-11-04 13:10:51,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=10.01, mean=-0.3051, std=2.717, absmax=12.61 +2025-11-04 13:10:52,014 ERROR: Encountered non-finite generator loss at iter 19951; skipping update. +2025-11-04 13:10:52,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:52,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.6, mean=-0.06474, std=3.562, absmax=13.16 +2025-11-04 13:10:52,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.78, mean=-0.06931, std=3.414, absmax=12.18 +2025-11-04 13:10:52,376 ERROR: Encountered non-finite generator loss at iter 19952; skipping update. +2025-11-04 13:10:52,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:52,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=17.08, mean=-0.1979, std=2.631, absmax=17.08 +2025-11-04 13:10:52,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=16.31, mean=-0.1892, std=2.488, absmax=16.31 +2025-11-04 13:10:52,738 ERROR: Encountered non-finite generator loss at iter 19953; skipping update. +2025-11-04 13:10:52,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:52,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:52,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.2, mean=0.1228, std=3.359, absmax=14.2 +2025-11-04 13:10:52,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.91, mean=0.08458, std=3.182, absmax=12.91 +2025-11-04 13:10:53,100 ERROR: Encountered non-finite generator loss at iter 19954; skipping update. +2025-11-04 13:10:53,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:53,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.73, mean=-0.1676, std=2.666, absmax=13.73 +2025-11-04 13:10:53,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=10.41, mean=-0.1762, std=2.476, absmax=10.41 +2025-11-04 13:10:53,463 ERROR: Encountered non-finite generator loss at iter 19955; skipping update. +2025-11-04 13:10:53,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:53,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.98, max=21.19, mean=0.002154, std=3.21, absmax=21.19 +2025-11-04 13:10:53,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.63, max=16.64, mean=-0.006363, std=2.961, absmax=16.64 +2025-11-04 13:10:53,825 ERROR: Encountered non-finite generator loss at iter 19956; skipping update. +2025-11-04 13:10:53,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:53,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:53,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.18, mean=-0.1432, std=2.748, absmax=13.18 +2025-11-04 13:10:53,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=10.96, mean=-0.1201, std=2.557, absmax=12.28 +2025-11-04 13:10:54,184 ERROR: Encountered non-finite generator loss at iter 19957; skipping update. +2025-11-04 13:10:54,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,186 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:54,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=15.43, mean=-0.03075, std=3.364, absmax=15.43 +2025-11-04 13:10:54,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=13.31, mean=-0.008392, std=3.119, absmax=13.31 +2025-11-04 13:10:54,544 ERROR: Encountered non-finite generator loss at iter 19958; skipping update. +2025-11-04 13:10:54,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:54,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=14.3, mean=-0.1655, std=2.779, absmax=14.3 +2025-11-04 13:10:54,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=11.82, mean=-0.1635, std=2.565, absmax=11.82 +2025-11-04 13:10:54,904 ERROR: Encountered non-finite generator loss at iter 19959; skipping update. +2025-11-04 13:10:54,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:54,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:54,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.55, mean=-0.1335, std=2.944, absmax=13.55 +2025-11-04 13:10:54,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.68, mean=-0.1398, std=2.75, absmax=11.87 +2025-11-04 13:10:55,264 ERROR: Encountered non-finite generator loss at iter 19960; skipping update. +2025-11-04 13:10:55,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:55,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=14.15, mean=-0.07048, std=2.766, absmax=14.15 +2025-11-04 13:10:55,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=10.68, mean=-0.05593, std=2.552, absmax=10.68 +2025-11-04 13:10:55,625 ERROR: Encountered non-finite generator loss at iter 19961; skipping update. +2025-11-04 13:10:55,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,626 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:55,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=16.43, mean=-0.2244, std=2.491, absmax=16.43 +2025-11-04 13:10:55,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=13.88, mean=-0.2085, std=2.344, absmax=13.88 +2025-11-04 13:10:55,985 ERROR: Encountered non-finite generator loss at iter 19962; skipping update. +2025-11-04 13:10:55,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:55,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:55,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.5, mean=-0.1233, std=3.65, absmax=13.5 +2025-11-04 13:10:55,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=11.97, mean=-0.104, std=3.424, absmax=13.28 +2025-11-04 13:10:56,345 ERROR: Encountered non-finite generator loss at iter 19963; skipping update. +2025-11-04 13:10:56,346 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:56,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:56,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:56,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:56,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=13.17, mean=-0.2594, std=3.338, absmax=14.94 +2025-11-04 13:10:56,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=12.1, mean=-0.2293, std=3.032, absmax=12.32 +2025-11-04 13:10:56,705 ERROR: Encountered non-finite generator loss at iter 19964; skipping update. +2025-11-04 13:10:56,706 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:56,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:56,707 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:56,707 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:56,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.37, mean=-0.08416, std=2.886, absmax=13.37 +2025-11-04 13:10:56,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=12.05, mean=-0.08014, std=2.709, absmax=12.05 +2025-11-04 13:10:57,065 ERROR: Encountered non-finite generator loss at iter 19965; skipping update. +2025-11-04 13:10:57,066 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,067 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,067 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:57,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.79, mean=-0.2199, std=2.957, absmax=13.79 +2025-11-04 13:10:57,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=13.12, mean=-0.2667, std=2.759, absmax=13.12 +2025-11-04 13:10:57,425 ERROR: Encountered non-finite generator loss at iter 19966; skipping update. +2025-11-04 13:10:57,426 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:57,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.88, mean=-0.06457, std=2.879, absmax=13.88 +2025-11-04 13:10:57,428 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=12.39, mean=-0.07621, std=2.675, absmax=12.39 +2025-11-04 13:10:57,784 ERROR: Encountered non-finite generator loss at iter 19967; skipping update. +2025-11-04 13:10:57,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,785 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:57,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:57,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.61, mean=-0.05166, std=2.641, absmax=12.01 +2025-11-04 13:10:57,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.373, max=10.29, mean=-0.07245, std=2.447, absmax=10.29 +2025-11-04 13:10:58,144 ERROR: Encountered non-finite generator loss at iter 19968; skipping update. +2025-11-04 13:10:58,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,145 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:58,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=14.02, mean=-0.1367, std=3.137, absmax=14.02 +2025-11-04 13:10:58,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.45, mean=-0.1425, std=2.923, absmax=11.86 +2025-11-04 13:10:58,503 ERROR: Encountered non-finite generator loss at iter 19969; skipping update. +2025-11-04 13:10:58,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,504 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:58,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.28, mean=-0.1597, std=3.182, absmax=13.55 +2025-11-04 13:10:58,506 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=11.49, mean=-0.1435, std=2.924, absmax=12.15 +2025-11-04 13:10:58,862 ERROR: Encountered non-finite generator loss at iter 19970; skipping update. +2025-11-04 13:10:58,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,863 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:58,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:58,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=15.78, mean=0.007298, std=3.733, absmax=15.78 +2025-11-04 13:10:58,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.72, max=13.03, mean=-0.008764, std=3.543, absmax=14.72 +2025-11-04 13:10:59,222 ERROR: Encountered non-finite generator loss at iter 19971; skipping update. +2025-11-04 13:10:59,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:59,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=12.49, mean=-0.1588, std=3.444, absmax=13.64 +2025-11-04 13:10:59,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=11.51, mean=-0.1554, std=3.234, absmax=12.42 +2025-11-04 13:10:59,581 ERROR: Encountered non-finite generator loss at iter 19972; skipping update. +2025-11-04 13:10:59,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:59,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.88, mean=-0.08741, std=3.842, absmax=13.94 +2025-11-04 13:10:59,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.21, max=13.54, mean=-0.09896, std=3.546, absmax=13.54 +2025-11-04 13:10:59,940 ERROR: Encountered non-finite generator loss at iter 19973; skipping update. +2025-11-04 13:10:59,941 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:10:59,942 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:10:59,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.51, mean=-0.1922, std=3.266, absmax=13.26 +2025-11-04 13:10:59,943 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=10.62, mean=-0.199, std=3.033, absmax=12.74 +2025-11-04 13:11:00,299 ERROR: Encountered non-finite generator loss at iter 19974; skipping update. +2025-11-04 13:11:00,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:00,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:00,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:00,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:00,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.59, mean=-0.132, std=3.054, absmax=12.59 +2025-11-04 13:11:00,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.71, mean=-0.1502, std=2.908, absmax=11.71 +2025-11-04 13:11:00,658 ERROR: Encountered non-finite generator loss at iter 19975; skipping update. +2025-11-04 13:11:00,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:00,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:00,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:00,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:00,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.69, mean=-0.2952, std=2.688, absmax=13.32 +2025-11-04 13:11:00,661 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=10.42, mean=-0.2952, std=2.538, absmax=11.9 +2025-11-04 13:11:01,018 ERROR: Encountered non-finite generator loss at iter 19976; skipping update. +2025-11-04 13:11:01,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:01,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=12.71, mean=0.07023, std=2.879, absmax=12.71 +2025-11-04 13:11:01,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.414, max=11.65, mean=0.06637, std=2.603, absmax=11.65 +2025-11-04 13:11:01,378 ERROR: Encountered non-finite generator loss at iter 19977; skipping update. +2025-11-04 13:11:01,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:01,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=13.2, mean=-0.2437, std=2.575, absmax=13.2 +2025-11-04 13:11:01,382 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=9.922, mean=-0.2043, std=2.339, absmax=10.01 +2025-11-04 13:11:01,739 ERROR: Encountered non-finite generator loss at iter 19978; skipping update. +2025-11-04 13:11:01,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:01,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:01,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=16.83, mean=-0.2054, std=2.771, absmax=16.83 +2025-11-04 13:11:01,743 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=14.76, mean=-0.2168, std=2.534, absmax=14.76 +2025-11-04 13:11:02,100 ERROR: Encountered non-finite generator loss at iter 19979; skipping update. +2025-11-04 13:11:02,101 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,102 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,102 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:02,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.71, mean=-0.147, std=2.651, absmax=13.06 +2025-11-04 13:11:02,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.82, mean=-0.1726, std=2.441, absmax=11.82 +2025-11-04 13:11:02,460 ERROR: Encountered non-finite generator loss at iter 19980; skipping update. +2025-11-04 13:11:02,460 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,461 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,462 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:02,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.32, mean=-0.05563, std=2.951, absmax=14.32 +2025-11-04 13:11:02,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=11.68, mean=-0.05647, std=2.644, absmax=11.68 +2025-11-04 13:11:02,822 ERROR: Encountered non-finite generator loss at iter 19981; skipping update. +2025-11-04 13:11:02,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:02,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:02,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=10.86, mean=-0.1948, std=2.426, absmax=11.71 +2025-11-04 13:11:02,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.832, max=9.749, mean=-0.1529, std=2.385, absmax=9.832 +2025-11-04 13:11:03,182 ERROR: Encountered non-finite generator loss at iter 19982; skipping update. +2025-11-04 13:11:03,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:03,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=13.02, mean=0.1335, std=3.125, absmax=14.74 +2025-11-04 13:11:03,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=11.74, mean=0.1197, std=2.922, absmax=11.74 +2025-11-04 13:11:03,542 ERROR: Encountered non-finite generator loss at iter 19983; skipping update. +2025-11-04 13:11:03,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:03,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.53, mean=-0.2133, std=2.926, absmax=13.63 +2025-11-04 13:11:03,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.15, mean=-0.1947, std=2.71, absmax=12.19 +2025-11-04 13:11:03,901 ERROR: Encountered non-finite generator loss at iter 19984; skipping update. +2025-11-04 13:11:03,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:03,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:03,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.72, mean=0.01144, std=2.89, absmax=14.25 +2025-11-04 13:11:03,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=11.79, mean=0.009669, std=2.629, absmax=11.79 +2025-11-04 13:11:04,260 ERROR: Encountered non-finite generator loss at iter 19985; skipping update. +2025-11-04 13:11:04,261 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,261 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:04,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.2, mean=-0.1089, std=2.969, absmax=13.2 +2025-11-04 13:11:04,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.27, mean=-0.1335, std=2.667, absmax=11.32 +2025-11-04 13:11:04,623 ERROR: Encountered non-finite generator loss at iter 19986; skipping update. +2025-11-04 13:11:04,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:04,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=13.24, mean=0.01787, std=3.242, absmax=14.53 +2025-11-04 13:11:04,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.81, mean=0.005173, std=2.926, absmax=12.81 +2025-11-04 13:11:04,983 ERROR: Encountered non-finite generator loss at iter 19987; skipping update. +2025-11-04 13:11:04,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:04,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:04,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.54, mean=-0.1606, std=2.927, absmax=13.63 +2025-11-04 13:11:04,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.2, mean=-0.1251, std=2.768, absmax=12.62 +2025-11-04 13:11:05,343 ERROR: Encountered non-finite generator loss at iter 19988; skipping update. +2025-11-04 13:11:05,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:05,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:05,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:05,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:05,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=11.28, mean=-0.2258, std=2.416, absmax=11.59 +2025-11-04 13:11:05,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=8.2, mean=-0.2176, std=2.375, absmax=10.83 +2025-11-04 13:11:05,704 ERROR: Encountered non-finite generator loss at iter 19989; skipping update. +2025-11-04 13:11:05,705 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:05,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:05,706 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:05,706 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:05,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=15.45, mean=-0.1991, std=3.303, absmax=15.45 +2025-11-04 13:11:05,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=11.01, mean=-0.2258, std=3.019, absmax=12.15 +2025-11-04 13:11:06,064 ERROR: Encountered non-finite generator loss at iter 19990; skipping update. +2025-11-04 13:11:06,065 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,066 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:06,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=11.95, mean=-0.2253, std=2.982, absmax=13.56 +2025-11-04 13:11:06,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.77, mean=-0.2853, std=2.819, absmax=11.91 +2025-11-04 13:11:06,424 ERROR: Encountered non-finite generator loss at iter 19991; skipping update. +2025-11-04 13:11:06,425 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:06,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=12.67, mean=-0.2569, std=2.576, absmax=14.27 +2025-11-04 13:11:06,428 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=9.512, mean=-0.2517, std=2.381, absmax=11.24 +2025-11-04 13:11:06,785 ERROR: Encountered non-finite generator loss at iter 19992; skipping update. +2025-11-04 13:11:06,786 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:06,787 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:06,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.68, mean=-0.09933, std=2.788, absmax=13.68 +2025-11-04 13:11:06,788 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.82, mean=-0.1267, std=2.629, absmax=12.44 +2025-11-04 13:11:07,144 ERROR: Encountered non-finite generator loss at iter 19993; skipping update. +2025-11-04 13:11:07,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:07,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.58, mean=-0.1704, std=2.912, absmax=12.7 +2025-11-04 13:11:07,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=11.23, mean=-0.1856, std=2.704, absmax=12.46 +2025-11-04 13:11:07,505 ERROR: Encountered non-finite generator loss at iter 19994; skipping update. +2025-11-04 13:11:07,506 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,507 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:07,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=14.92, mean=0.115, std=3.968, absmax=14.92 +2025-11-04 13:11:07,508 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=14.91, mean=0.1206, std=3.881, absmax=14.91 +2025-11-04 13:11:07,872 ERROR: Encountered non-finite generator loss at iter 19995; skipping update. +2025-11-04 13:11:07,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:07,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:07,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=10.95, mean=-0.2345, std=3.272, absmax=13.34 +2025-11-04 13:11:07,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=12.51, mean=-0.1841, std=3.082, absmax=12.51 +2025-11-04 13:11:08,247 ERROR: Encountered non-finite generator loss at iter 19996; skipping update. +2025-11-04 13:11:08,248 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,249 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:08,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.39, mean=-0.1267, std=2.763, absmax=13.39 +2025-11-04 13:11:08,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.825, max=11.39, mean=-0.0904, std=2.473, absmax=11.39 +2025-11-04 13:11:08,611 ERROR: Encountered non-finite generator loss at iter 19997; skipping update. +2025-11-04 13:11:08,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:08,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.88, mean=-0.1464, std=3.013, absmax=12.55 +2025-11-04 13:11:08,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.71, mean=-0.1379, std=2.858, absmax=11.77 +2025-11-04 13:11:08,974 ERROR: Encountered non-finite generator loss at iter 19998; skipping update. +2025-11-04 13:11:08,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:08,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:08,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=13.1, mean=-0.02788, std=2.945, absmax=13.1 +2025-11-04 13:11:08,978 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.31, max=13.78, mean=-0.05142, std=2.837, absmax=13.78 +2025-11-04 13:11:09,338 ERROR: Encountered non-finite generator loss at iter 19999; skipping update. +2025-11-04 13:11:09,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:09,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:09,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:09,340 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:09,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.37, mean=-0.2627, std=2.9, absmax=13.37 +2025-11-04 13:11:09,342 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.15, mean=-0.2509, std=2.597, absmax=11.13 +2025-11-04 13:11:09,701 ERROR: Encountered non-finite generator loss at iter 20000; skipping update. +2025-11-04 13:11:09,702 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:09,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:11:09,703 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:11:09,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:11:09,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.53, mean=0.0806, std=3.571, absmax=13.74 +2025-11-04 13:11:09,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=13.11, mean=0.07876, std=3.259, absmax=13.11 +2025-11-04 13:11:09,706 INFO: [38..][epoch: 0, step: 20,000, lr:(2.000e-04,)] [eta: 1 day, 8:32:31, time (data): 0.361 (0.000)] +2025-11-04 13:11:09,706 INFO: Saving models and training states. +2025-11-04 13:13:50,376 INFO: Validation val_x2 + # l1_latent: nan Best: 1.4251 @ 10000 iter + # pixel_psnr_pt: nan Best: 32.4304 @ 15000 iter + +2025-11-04 13:15:58,048 INFO: Validation val_x4 + # l1_latent: nan Best: 1.5704 @ 10000 iter + # l2_latent: nan Best: 3.9360 @ 10000 iter + # pixel_psnr_pt: nan Best: 27.8913 @ 15000 iter + +2025-11-04 13:15:58,407 ERROR: Encountered non-finite generator loss at iter 20001; skipping update. +2025-11-04 13:15:58,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:58,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:58,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:15:58,410 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:15:58,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.7, max=14.63, mean=0.008736, std=3.202, absmax=14.63 +2025-11-04 13:15:58,411 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=13.53, mean=0.001398, std=2.996, absmax=13.53 +2025-11-04 13:15:58,767 ERROR: Encountered non-finite generator loss at iter 20002; skipping update. +2025-11-04 13:15:58,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:58,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:58,769 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:15:58,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:15:58,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.87, mean=-0.004419, std=3.119, absmax=13.87 +2025-11-04 13:15:58,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=13.02, mean=-0.003129, std=2.857, absmax=13.02 +2025-11-04 13:15:59,127 ERROR: Encountered non-finite generator loss at iter 20003; skipping update. +2025-11-04 13:15:59,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:15:59,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.1, mean=-0.04053, std=3.273, absmax=13.94 +2025-11-04 13:15:59,130 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=12.3, mean=-0.00934, std=3.077, absmax=12.3 +2025-11-04 13:15:59,485 ERROR: Encountered non-finite generator loss at iter 20004; skipping update. +2025-11-04 13:15:59,487 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,488 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:15:59,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.17, mean=-0.1742, std=3.168, absmax=12.5 +2025-11-04 13:15:59,489 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.11, mean=-0.1461, std=2.905, absmax=12.11 +2025-11-04 13:15:59,844 ERROR: Encountered non-finite generator loss at iter 20005; skipping update. +2025-11-04 13:15:59,845 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:15:59,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:15:59,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.38, mean=-0.01214, std=2.969, absmax=12.38 +2025-11-04 13:15:59,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=11.88, mean=0.04333, std=2.914, absmax=11.88 +2025-11-04 13:16:00,204 ERROR: Encountered non-finite generator loss at iter 20006; skipping update. +2025-11-04 13:16:00,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:00,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.1, mean=-0.1404, std=2.613, absmax=12.1 +2025-11-04 13:16:00,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=9.942, mean=-0.1368, std=2.347, absmax=10.05 +2025-11-04 13:16:00,562 ERROR: Encountered non-finite generator loss at iter 20007; skipping update. +2025-11-04 13:16:00,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:00,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.45, mean=-0.09844, std=3.165, absmax=13.45 +2025-11-04 13:16:00,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.13, mean=-0.09222, std=3.013, absmax=12.13 +2025-11-04 13:16:00,921 ERROR: Encountered non-finite generator loss at iter 20008; skipping update. +2025-11-04 13:16:00,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:00,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:00,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.12, mean=-0.2353, std=2.62, absmax=12.12 +2025-11-04 13:16:00,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=10.72, mean=-0.2145, std=2.371, absmax=10.72 +2025-11-04 13:16:01,280 ERROR: Encountered non-finite generator loss at iter 20009; skipping update. +2025-11-04 13:16:01,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:01,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:01,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:01,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:01,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=10.73, mean=-0.1139, std=2.78, absmax=12.62 +2025-11-04 13:16:01,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.32, mean=-0.04145, std=2.741, absmax=11.55 +2025-11-04 13:16:01,639 ERROR: Encountered non-finite generator loss at iter 20010; skipping update. +2025-11-04 13:16:01,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:01,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:01,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:01,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:01,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=17.35, mean=-0.1996, std=3.523, absmax=17.35 +2025-11-04 13:16:01,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.06, max=14.93, mean=-0.2369, std=3.298, absmax=14.93 +2025-11-04 13:16:01,999 ERROR: Encountered non-finite generator loss at iter 20011; skipping update. +2025-11-04 13:16:02,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:02,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=12.2, mean=-0.2644, std=3.439, absmax=14.88 +2025-11-04 13:16:02,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=11.27, mean=-0.2658, std=3.302, absmax=13.1 +2025-11-04 13:16:02,360 ERROR: Encountered non-finite generator loss at iter 20012; skipping update. +2025-11-04 13:16:02,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:02,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=11.98, mean=-0.1112, std=3.172, absmax=11.98 +2025-11-04 13:16:02,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=12.04, mean=-0.1285, std=2.964, absmax=12.04 +2025-11-04 13:16:02,720 ERROR: Encountered non-finite generator loss at iter 20013; skipping update. +2025-11-04 13:16:02,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:02,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:02,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.25, mean=-0.271, std=3.048, absmax=12.2 +2025-11-04 13:16:02,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=9.447, mean=-0.2349, std=2.843, absmax=11.81 +2025-11-04 13:16:03,080 ERROR: Encountered non-finite generator loss at iter 20014; skipping update. +2025-11-04 13:16:03,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:03,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.98, mean=-0.3432, std=3.127, absmax=13.57 +2025-11-04 13:16:03,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=9.93, mean=-0.3247, std=2.994, absmax=11.75 +2025-11-04 13:16:03,440 ERROR: Encountered non-finite generator loss at iter 20015; skipping update. +2025-11-04 13:16:03,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:03,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.68, mean=-0.1725, std=2.863, absmax=13.1 +2025-11-04 13:16:03,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=10.61, mean=-0.1529, std=2.649, absmax=11.48 +2025-11-04 13:16:03,799 ERROR: Encountered non-finite generator loss at iter 20016; skipping update. +2025-11-04 13:16:03,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:03,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:03,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.77, mean=-0.09125, std=3.148, absmax=11.88 +2025-11-04 13:16:03,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=11.03, mean=-0.1598, std=2.96, absmax=12.57 +2025-11-04 13:16:04,160 ERROR: Encountered non-finite generator loss at iter 20017; skipping update. +2025-11-04 13:16:04,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:04,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.33, mean=-0.3453, std=2.719, absmax=12.97 +2025-11-04 13:16:04,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.11, mean=-0.3568, std=2.627, absmax=11.83 +2025-11-04 13:16:04,519 ERROR: Encountered non-finite generator loss at iter 20018; skipping update. +2025-11-04 13:16:04,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:04,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=15.69, mean=-0.2428, std=3.194, absmax=15.69 +2025-11-04 13:16:04,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=14.57, mean=-0.2217, std=3.014, absmax=14.57 +2025-11-04 13:16:04,879 ERROR: Encountered non-finite generator loss at iter 20019; skipping update. +2025-11-04 13:16:04,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:04,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:04,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.62, mean=-0.1646, std=3.334, absmax=13.62 +2025-11-04 13:16:04,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.12, mean=-0.1638, std=3.087, absmax=12.76 +2025-11-04 13:16:05,238 ERROR: Encountered non-finite generator loss at iter 20020; skipping update. +2025-11-04 13:16:05,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:05,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=15.16, mean=0.08259, std=3.659, absmax=15.16 +2025-11-04 13:16:05,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=15.04, mean=0.1042, std=3.481, absmax=15.04 +2025-11-04 13:16:05,599 ERROR: Encountered non-finite generator loss at iter 20021; skipping update. +2025-11-04 13:16:05,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:05,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.11, mean=-0.1466, std=2.83, absmax=13.27 +2025-11-04 13:16:05,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=9.23, mean=-0.156, std=2.605, absmax=11.04 +2025-11-04 13:16:05,958 ERROR: Encountered non-finite generator loss at iter 20022; skipping update. +2025-11-04 13:16:05,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:05,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:05,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=12.11, mean=-0.2378, std=3.363, absmax=14.52 +2025-11-04 13:16:05,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=10.36, mean=-0.2211, std=3.031, absmax=12.76 +2025-11-04 13:16:06,318 ERROR: Encountered non-finite generator loss at iter 20023; skipping update. +2025-11-04 13:16:06,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:06,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:06,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:06,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:06,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.31, mean=-0.2529, std=2.785, absmax=12.33 +2025-11-04 13:16:06,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=10.01, mean=-0.3036, std=2.563, absmax=11.95 +2025-11-04 13:16:06,678 ERROR: Encountered non-finite generator loss at iter 20024; skipping update. +2025-11-04 13:16:06,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:06,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:06,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:06,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:06,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=14.12, mean=-0.2433, std=2.988, absmax=14.58 +2025-11-04 13:16:06,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.6, mean=-0.2175, std=2.803, absmax=12.6 +2025-11-04 13:16:07,038 ERROR: Encountered non-finite generator loss at iter 20025; skipping update. +2025-11-04 13:16:07,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:07,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=12.68, mean=-0.2584, std=2.642, absmax=14.73 +2025-11-04 13:16:07,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=10.42, mean=-0.23, std=2.446, absmax=12.34 +2025-11-04 13:16:07,397 ERROR: Encountered non-finite generator loss at iter 20026; skipping update. +2025-11-04 13:16:07,398 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:07,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=15.97, mean=-0.2888, std=2.816, absmax=15.97 +2025-11-04 13:16:07,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=11.1, mean=-0.2392, std=2.56, absmax=11.1 +2025-11-04 13:16:07,756 ERROR: Encountered non-finite generator loss at iter 20027; skipping update. +2025-11-04 13:16:07,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:07,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:07,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=12.37, mean=-0.1542, std=2.644, absmax=12.37 +2025-11-04 13:16:07,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=10.78, mean=-0.104, std=2.487, absmax=10.78 +2025-11-04 13:16:08,115 ERROR: Encountered non-finite generator loss at iter 20028; skipping update. +2025-11-04 13:16:08,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:08,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=11.05, mean=-0.2777, std=3.437, absmax=15.27 +2025-11-04 13:16:08,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.89, max=10.04, mean=-0.2718, std=3.241, absmax=13.89 +2025-11-04 13:16:08,475 ERROR: Encountered non-finite generator loss at iter 20029; skipping update. +2025-11-04 13:16:08,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:08,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=12.05, mean=-0.2125, std=3.162, absmax=14.36 +2025-11-04 13:16:08,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.48, max=10.84, mean=-0.1901, std=2.952, absmax=13.48 +2025-11-04 13:16:08,835 ERROR: Encountered non-finite generator loss at iter 20030; skipping update. +2025-11-04 13:16:08,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:08,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:08,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.72, mean=0.0228, std=2.817, absmax=12.72 +2025-11-04 13:16:08,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.624, max=11.47, mean=0.03412, std=2.656, absmax=11.47 +2025-11-04 13:16:09,195 ERROR: Encountered non-finite generator loss at iter 20031; skipping update. +2025-11-04 13:16:09,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:09,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.59, mean=-0.04332, std=3.357, absmax=13.11 +2025-11-04 13:16:09,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=11.48, mean=-0.01996, std=3.2, absmax=12.59 +2025-11-04 13:16:09,555 ERROR: Encountered non-finite generator loss at iter 20032; skipping update. +2025-11-04 13:16:09,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:09,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.55, mean=-0.1977, std=2.926, absmax=11.76 +2025-11-04 13:16:09,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=9.591, mean=-0.1929, std=2.752, absmax=10.3 +2025-11-04 13:16:09,915 ERROR: Encountered non-finite generator loss at iter 20033; skipping update. +2025-11-04 13:16:09,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:09,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:09,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.12, mean=-0.1954, std=3.16, absmax=14.12 +2025-11-04 13:16:09,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=13.35, mean=-0.1783, std=2.918, absmax=13.35 +2025-11-04 13:16:10,275 ERROR: Encountered non-finite generator loss at iter 20034; skipping update. +2025-11-04 13:16:10,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:10,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.52, max=13, mean=-0.2802, std=3.608, absmax=18.52 +2025-11-04 13:16:10,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.68, max=12.26, mean=-0.3056, std=3.287, absmax=15.68 +2025-11-04 13:16:10,635 ERROR: Encountered non-finite generator loss at iter 20035; skipping update. +2025-11-04 13:16:10,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:10,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=15.14, mean=0.09074, std=3.638, absmax=15.14 +2025-11-04 13:16:10,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=14.14, mean=0.1118, std=3.459, absmax=14.14 +2025-11-04 13:16:10,995 ERROR: Encountered non-finite generator loss at iter 20036; skipping update. +2025-11-04 13:16:10,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:10,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:10,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=16.45, mean=-0.2954, std=3.393, absmax=16.45 +2025-11-04 13:16:10,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=13.74, mean=-0.2617, std=3.257, absmax=13.74 +2025-11-04 13:16:11,355 ERROR: Encountered non-finite generator loss at iter 20037; skipping update. +2025-11-04 13:16:11,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:11,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:11,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:11,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:11,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=14.62, mean=-0.03951, std=3.003, absmax=14.62 +2025-11-04 13:16:11,358 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=12.93, mean=-0.01707, std=2.859, absmax=12.93 +2025-11-04 13:16:11,715 ERROR: Encountered non-finite generator loss at iter 20038; skipping update. +2025-11-04 13:16:11,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:11,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:11,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:11,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:11,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.89, mean=0.09588, std=3.329, absmax=14.89 +2025-11-04 13:16:11,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=14.6, mean=0.1151, std=3.16, absmax=14.6 +2025-11-04 13:16:12,074 ERROR: Encountered non-finite generator loss at iter 20039; skipping update. +2025-11-04 13:16:12,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,076 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:12,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=15.01, mean=0.05698, std=3.079, absmax=15.01 +2025-11-04 13:16:12,078 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.952, max=13.17, mean=0.1019, std=2.901, absmax=13.17 +2025-11-04 13:16:12,434 ERROR: Encountered non-finite generator loss at iter 20040; skipping update. +2025-11-04 13:16:12,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:12,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=14.69, mean=-0.02926, std=3.43, absmax=14.69 +2025-11-04 13:16:12,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=13.84, mean=-0.03434, std=3.281, absmax=13.84 +2025-11-04 13:16:12,794 ERROR: Encountered non-finite generator loss at iter 20041; skipping update. +2025-11-04 13:16:12,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:12,796 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:12,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=13.32, mean=0.2117, std=3.266, absmax=13.32 +2025-11-04 13:16:12,797 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=12.16, mean=0.1943, std=3.163, absmax=12.16 +2025-11-04 13:16:13,153 ERROR: Encountered non-finite generator loss at iter 20042; skipping update. +2025-11-04 13:16:13,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:13,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=12.73, mean=-0.08097, std=3.059, absmax=15.03 +2025-11-04 13:16:13,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=11.64, mean=-0.08022, std=2.869, absmax=11.97 +2025-11-04 13:16:13,513 ERROR: Encountered non-finite generator loss at iter 20043; skipping update. +2025-11-04 13:16:13,514 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,515 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,515 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:13,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=9.947, mean=-0.3772, std=3.068, absmax=13.68 +2025-11-04 13:16:13,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=10.34, mean=-0.354, std=2.971, absmax=12.49 +2025-11-04 13:16:13,873 ERROR: Encountered non-finite generator loss at iter 20044; skipping update. +2025-11-04 13:16:13,874 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:13,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:13,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.33, mean=-0.1008, std=2.89, absmax=13.51 +2025-11-04 13:16:13,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=11.76, mean=-0.09515, std=2.654, absmax=11.76 +2025-11-04 13:16:14,233 ERROR: Encountered non-finite generator loss at iter 20045; skipping update. +2025-11-04 13:16:14,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:14,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.56, mean=0.05607, std=3.16, absmax=12.56 +2025-11-04 13:16:14,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.24, mean=0.06322, std=2.914, absmax=11.24 +2025-11-04 13:16:14,592 ERROR: Encountered non-finite generator loss at iter 20046; skipping update. +2025-11-04 13:16:14,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:14,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.54, mean=-0.3919, std=3.302, absmax=14.54 +2025-11-04 13:16:14,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=14.2, mean=-0.3562, std=3.061, absmax=14.2 +2025-11-04 13:16:14,952 ERROR: Encountered non-finite generator loss at iter 20047; skipping update. +2025-11-04 13:16:14,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:14,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:14,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=11, mean=-0.2456, std=2.829, absmax=13.25 +2025-11-04 13:16:14,955 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=9.891, mean=-0.2398, std=2.708, absmax=12.01 +2025-11-04 13:16:15,312 ERROR: Encountered non-finite generator loss at iter 20048; skipping update. +2025-11-04 13:16:15,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:15,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:15,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:15,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:15,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=9.58, mean=-0.3491, std=3.127, absmax=12.57 +2025-11-04 13:16:15,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=9.009, mean=-0.3566, std=2.99, absmax=12.05 +2025-11-04 13:16:15,672 ERROR: Encountered non-finite generator loss at iter 20049; skipping update. +2025-11-04 13:16:15,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:15,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:15,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:15,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:15,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.13, mean=-0.08947, std=2.92, absmax=14.13 +2025-11-04 13:16:15,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.52, mean=-0.08097, std=2.773, absmax=12.95 +2025-11-04 13:16:16,032 ERROR: Encountered non-finite generator loss at iter 20050; skipping update. +2025-11-04 13:16:16,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,034 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:16,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.1, mean=-0.241, std=2.878, absmax=13.1 +2025-11-04 13:16:16,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=10.19, mean=-0.237, std=2.588, absmax=11.7 +2025-11-04 13:16:16,392 ERROR: Encountered non-finite generator loss at iter 20051; skipping update. +2025-11-04 13:16:16,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,394 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:16,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=11.79, mean=-0.1277, std=3.023, absmax=13.87 +2025-11-04 13:16:16,395 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=9.812, mean=-0.1148, std=2.888, absmax=11.89 +2025-11-04 13:16:16,752 ERROR: Encountered non-finite generator loss at iter 20052; skipping update. +2025-11-04 13:16:16,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:16,756 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:16,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=10.99, mean=-0.1622, std=2.94, absmax=15.03 +2025-11-04 13:16:16,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=9.945, mean=-0.1407, std=2.655, absmax=11.19 +2025-11-04 13:16:17,115 ERROR: Encountered non-finite generator loss at iter 20053; skipping update. +2025-11-04 13:16:17,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:17,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.15, mean=-0.2762, std=2.584, absmax=12.13 +2025-11-04 13:16:17,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=9.031, mean=-0.2352, std=2.513, absmax=10.08 +2025-11-04 13:16:17,475 ERROR: Encountered non-finite generator loss at iter 20054; skipping update. +2025-11-04 13:16:17,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:17,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.23, mean=-0.1781, std=2.835, absmax=13.23 +2025-11-04 13:16:17,478 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=12.25, mean=-0.1703, std=2.636, absmax=12.25 +2025-11-04 13:16:17,835 ERROR: Encountered non-finite generator loss at iter 20055; skipping update. +2025-11-04 13:16:17,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:17,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:17,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=12.89, mean=-0.2066, std=3.134, absmax=13.82 +2025-11-04 13:16:17,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=12.13, mean=-0.2348, std=2.995, absmax=12.85 +2025-11-04 13:16:18,196 ERROR: Encountered non-finite generator loss at iter 20056; skipping update. +2025-11-04 13:16:18,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:18,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.55, mean=-0.08957, std=3.105, absmax=13.06 +2025-11-04 13:16:18,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.33, max=12.46, mean=-0.1046, std=2.88, absmax=13.33 +2025-11-04 13:16:18,556 ERROR: Encountered non-finite generator loss at iter 20057; skipping update. +2025-11-04 13:16:18,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:18,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=11.62, mean=-0.2938, std=2.588, absmax=11.62 +2025-11-04 13:16:18,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=8.547, mean=-0.263, std=2.402, absmax=10.62 +2025-11-04 13:16:18,916 ERROR: Encountered non-finite generator loss at iter 20058; skipping update. +2025-11-04 13:16:18,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:18,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:18,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=13.71, mean=-0.3626, std=2.842, absmax=15.11 +2025-11-04 13:16:18,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=12.04, mean=-0.3355, std=2.698, absmax=12.04 +2025-11-04 13:16:19,277 ERROR: Encountered non-finite generator loss at iter 20059; skipping update. +2025-11-04 13:16:19,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:19,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:19,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:19,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:19,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=15.18, mean=-0.102, std=3.04, absmax=15.18 +2025-11-04 13:16:19,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=14.37, mean=-0.09777, std=2.853, absmax=14.37 +2025-11-04 13:16:19,637 ERROR: Encountered non-finite generator loss at iter 20060; skipping update. +2025-11-04 13:16:19,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:19,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:19,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:19,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:19,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.39, max=12.59, mean=-0.1233, std=3.143, absmax=15.39 +2025-11-04 13:16:19,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.51, max=13.1, mean=-0.08382, std=3.038, absmax=14.51 +2025-11-04 13:16:19,998 ERROR: Encountered non-finite generator loss at iter 20061; skipping update. +2025-11-04 13:16:19,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:19,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:20,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=16.9, mean=-0.3275, std=3.111, absmax=16.9 +2025-11-04 13:16:20,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=12.81, mean=-0.3154, std=2.851, absmax=12.89 +2025-11-04 13:16:20,357 ERROR: Encountered non-finite generator loss at iter 20062; skipping update. +2025-11-04 13:16:20,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,452 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:20,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=11.24, mean=-0.1429, std=2.843, absmax=13.76 +2025-11-04 13:16:20,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=9.724, mean=-0.1074, std=2.66, absmax=11.36 +2025-11-04 13:16:20,810 ERROR: Encountered non-finite generator loss at iter 20063; skipping update. +2025-11-04 13:16:20,811 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:20,812 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:20,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.41, mean=-0.2846, std=3.702, absmax=14.04 +2025-11-04 13:16:20,813 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=11.84, mean=-0.2618, std=3.478, absmax=13.94 +2025-11-04 13:16:21,169 ERROR: Encountered non-finite generator loss at iter 20064; skipping update. +2025-11-04 13:16:21,170 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:21,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.49, mean=-0.2478, std=2.836, absmax=13.49 +2025-11-04 13:16:21,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=12.15, mean=-0.2646, std=2.597, absmax=12.15 +2025-11-04 13:16:21,529 ERROR: Encountered non-finite generator loss at iter 20065; skipping update. +2025-11-04 13:16:21,530 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,531 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,532 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:21,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=10.54, mean=-0.2027, std=2.953, absmax=14.21 +2025-11-04 13:16:21,533 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=9.951, mean=-0.2002, std=2.858, absmax=13.19 +2025-11-04 13:16:21,888 ERROR: Encountered non-finite generator loss at iter 20066; skipping update. +2025-11-04 13:16:21,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:21,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:21,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=12.04, mean=-0.2196, std=2.426, absmax=12.04 +2025-11-04 13:16:21,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=10.09, mean=-0.2621, std=2.199, absmax=10.09 +2025-11-04 13:16:22,247 ERROR: Encountered non-finite generator loss at iter 20067; skipping update. +2025-11-04 13:16:22,248 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,249 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,249 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:22,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.93, mean=-0.2383, std=2.82, absmax=13.93 +2025-11-04 13:16:22,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=12.6, mean=-0.227, std=2.579, absmax=12.6 +2025-11-04 13:16:22,606 ERROR: Encountered non-finite generator loss at iter 20068; skipping update. +2025-11-04 13:16:22,607 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,608 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,608 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:22,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.62, mean=-0.2318, std=2.939, absmax=14.62 +2025-11-04 13:16:22,610 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=13.14, mean=-0.2279, std=2.79, absmax=13.14 +2025-11-04 13:16:22,966 ERROR: Encountered non-finite generator loss at iter 20069; skipping update. +2025-11-04 13:16:22,967 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,968 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:22,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:22,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.62, mean=-0.187, std=2.928, absmax=13.62 +2025-11-04 13:16:22,969 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=11.64, mean=-0.1889, std=2.685, absmax=11.64 +2025-11-04 13:16:23,326 ERROR: Encountered non-finite generator loss at iter 20070; skipping update. +2025-11-04 13:16:23,327 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:23,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:23,328 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:23,328 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:23,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.88, mean=-0.1129, std=2.876, absmax=12.88 +2025-11-04 13:16:23,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=11.66, mean=-0.09713, std=2.573, absmax=11.66 +2025-11-04 13:16:23,685 ERROR: Encountered non-finite generator loss at iter 20071; skipping update. +2025-11-04 13:16:23,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:23,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:23,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:23,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:23,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.47, mean=-0.1629, std=3.004, absmax=14.47 +2025-11-04 13:16:23,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.59, mean=-0.1608, std=2.752, absmax=11.65 +2025-11-04 13:16:24,045 ERROR: Encountered non-finite generator loss at iter 20072; skipping update. +2025-11-04 13:16:24,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:24,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.34, mean=-0.2035, std=2.742, absmax=13.96 +2025-11-04 13:16:24,048 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=10.83, mean=-0.1784, std=2.517, absmax=12.7 +2025-11-04 13:16:24,404 ERROR: Encountered non-finite generator loss at iter 20073; skipping update. +2025-11-04 13:16:24,405 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,406 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:24,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=15.21, mean=0.1168, std=3.62, absmax=15.21 +2025-11-04 13:16:24,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=12.62, mean=0.09376, std=3.388, absmax=12.62 +2025-11-04 13:16:24,765 ERROR: Encountered non-finite generator loss at iter 20074; skipping update. +2025-11-04 13:16:24,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:24,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:24,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.04, mean=-0.2202, std=3.111, absmax=13.04 +2025-11-04 13:16:24,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=11.93, mean=-0.1717, std=2.972, absmax=11.93 +2025-11-04 13:16:25,125 ERROR: Encountered non-finite generator loss at iter 20075; skipping update. +2025-11-04 13:16:25,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,127 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:25,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=14.82, mean=-0.008724, std=3.334, absmax=14.82 +2025-11-04 13:16:25,128 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=12.75, mean=-0.005369, std=3.061, absmax=13.27 +2025-11-04 13:16:25,485 ERROR: Encountered non-finite generator loss at iter 20076; skipping update. +2025-11-04 13:16:25,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,486 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:25,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.28, mean=-0.1099, std=3.238, absmax=13.92 +2025-11-04 13:16:25,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=11.7, mean=-0.09525, std=3.15, absmax=12.63 +2025-11-04 13:16:25,844 ERROR: Encountered non-finite generator loss at iter 20077; skipping update. +2025-11-04 13:16:25,845 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:25,848 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:25,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.47, mean=-0.2872, std=3.099, absmax=13.67 +2025-11-04 13:16:25,849 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.33, mean=-0.2648, std=2.904, absmax=11.89 +2025-11-04 13:16:26,206 ERROR: Encountered non-finite generator loss at iter 20078; skipping update. +2025-11-04 13:16:26,207 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,208 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,208 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:26,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.08, mean=-0.2467, std=2.782, absmax=12.62 +2025-11-04 13:16:26,209 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=8.979, mean=-0.252, std=2.597, absmax=12.16 +2025-11-04 13:16:26,565 ERROR: Encountered non-finite generator loss at iter 20079; skipping update. +2025-11-04 13:16:26,567 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,568 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,568 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:26,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.31, mean=-0.07694, std=2.869, absmax=12.31 +2025-11-04 13:16:26,569 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.63, mean=-0.07497, std=2.647, absmax=12.63 +2025-11-04 13:16:26,926 ERROR: Encountered non-finite generator loss at iter 20080; skipping update. +2025-11-04 13:16:26,927 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,928 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:26,928 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:26,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.71, mean=-0.3116, std=2.862, absmax=13.71 +2025-11-04 13:16:26,929 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=10.88, mean=-0.3156, std=2.755, absmax=11.78 +2025-11-04 13:16:27,285 ERROR: Encountered non-finite generator loss at iter 20081; skipping update. +2025-11-04 13:16:27,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:27,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:27,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:27,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:27,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=14.3, mean=-0.1798, std=2.983, absmax=14.3 +2025-11-04 13:16:27,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=12.2, mean=-0.1688, std=2.707, absmax=12.2 +2025-11-04 13:16:27,645 ERROR: Encountered non-finite generator loss at iter 20082; skipping update. +2025-11-04 13:16:27,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:27,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:27,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:27,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:27,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.14, mean=0.006784, std=2.98, absmax=12.14 +2025-11-04 13:16:27,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.924, max=10.45, mean=0.004762, std=2.733, absmax=10.45 +2025-11-04 13:16:28,005 ERROR: Encountered non-finite generator loss at iter 20083; skipping update. +2025-11-04 13:16:28,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:28,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.14, mean=-0.1703, std=2.767, absmax=13.14 +2025-11-04 13:16:28,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=11.18, mean=-0.1509, std=2.626, absmax=11.69 +2025-11-04 13:16:28,365 ERROR: Encountered non-finite generator loss at iter 20084; skipping update. +2025-11-04 13:16:28,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:28,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.76, mean=-0.2473, std=2.634, absmax=12.78 +2025-11-04 13:16:28,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=9.946, mean=-0.2145, std=2.522, absmax=12.81 +2025-11-04 13:16:28,725 ERROR: Encountered non-finite generator loss at iter 20085; skipping update. +2025-11-04 13:16:28,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:28,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:28,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.75, mean=-0.2178, std=3.305, absmax=13.72 +2025-11-04 13:16:28,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.24, mean=-0.225, std=3.026, absmax=11.29 +2025-11-04 13:16:29,084 ERROR: Encountered non-finite generator loss at iter 20086; skipping update. +2025-11-04 13:16:29,085 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,086 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:29,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.43, mean=-0.02507, std=3.065, absmax=14.43 +2025-11-04 13:16:29,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.62, mean=-0.01044, std=2.826, absmax=12.62 +2025-11-04 13:16:29,444 ERROR: Encountered non-finite generator loss at iter 20087; skipping update. +2025-11-04 13:16:29,445 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,446 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:29,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.86, mean=0.2013, std=3.334, absmax=12.86 +2025-11-04 13:16:29,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=11.1, mean=0.2154, std=3.048, absmax=11.1 +2025-11-04 13:16:29,804 ERROR: Encountered non-finite generator loss at iter 20088; skipping update. +2025-11-04 13:16:29,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:29,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:29,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.34, mean=-0.2295, std=3.298, absmax=14.34 +2025-11-04 13:16:29,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=11.51, mean=-0.2123, std=2.996, absmax=13.11 +2025-11-04 13:16:30,164 ERROR: Encountered non-finite generator loss at iter 20089; skipping update. +2025-11-04 13:16:30,165 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,166 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,166 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:30,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=10.62, mean=-0.1465, std=2.234, absmax=11.12 +2025-11-04 13:16:30,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=9.373, mean=-0.1635, std=2.121, absmax=10.5 +2025-11-04 13:16:30,524 ERROR: Encountered non-finite generator loss at iter 20090; skipping update. +2025-11-04 13:16:30,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:30,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.74, mean=-0.1882, std=3.005, absmax=13.74 +2025-11-04 13:16:30,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=12.56, mean=-0.1985, std=2.714, absmax=12.56 +2025-11-04 13:16:30,884 ERROR: Encountered non-finite generator loss at iter 20091; skipping update. +2025-11-04 13:16:30,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,886 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:30,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:30,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.41, mean=0.02609, std=2.931, absmax=14.41 +2025-11-04 13:16:30,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=11.24, mean=0.01677, std=2.66, absmax=11.24 +2025-11-04 13:16:31,244 ERROR: Encountered non-finite generator loss at iter 20092; skipping update. +2025-11-04 13:16:31,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:31,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=17.14, mean=-0.03366, std=3.027, absmax=17.14 +2025-11-04 13:16:31,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=16.39, mean=-0.07844, std=2.868, absmax=16.39 +2025-11-04 13:16:31,604 ERROR: Encountered non-finite generator loss at iter 20093; skipping update. +2025-11-04 13:16:31,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:31,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=13.99, mean=-0.286, std=3.135, absmax=15.03 +2025-11-04 13:16:31,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=13.45, mean=-0.266, std=3.033, absmax=13.45 +2025-11-04 13:16:31,963 ERROR: Encountered non-finite generator loss at iter 20094; skipping update. +2025-11-04 13:16:31,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:31,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:31,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.2, mean=-0.3142, std=2.711, absmax=12.55 +2025-11-04 13:16:31,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=9.828, mean=-0.3198, std=2.552, absmax=11.77 +2025-11-04 13:16:32,323 ERROR: Encountered non-finite generator loss at iter 20095; skipping update. +2025-11-04 13:16:32,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:32,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:32,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:32,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:32,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.84, mean=-0.05168, std=3.185, absmax=13.84 +2025-11-04 13:16:32,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.93, mean=-0.02637, std=2.833, absmax=12.93 +2025-11-04 13:16:32,682 ERROR: Encountered non-finite generator loss at iter 20096; skipping update. +2025-11-04 13:16:32,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:32,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:32,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:32,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:32,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.12, mean=-0.2289, std=2.805, absmax=13.26 +2025-11-04 13:16:32,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=9.926, mean=-0.1939, std=2.552, absmax=11.47 +2025-11-04 13:16:33,041 ERROR: Encountered non-finite generator loss at iter 20097; skipping update. +2025-11-04 13:16:33,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:33,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.89, mean=0.00172, std=3.234, absmax=13.92 +2025-11-04 13:16:33,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=11.78, mean=-0.04183, std=2.911, absmax=13.06 +2025-11-04 13:16:33,401 ERROR: Encountered non-finite generator loss at iter 20098; skipping update. +2025-11-04 13:16:33,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:33,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.78, mean=-0.087, std=2.751, absmax=12.78 +2025-11-04 13:16:33,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=10.66, mean=-0.08641, std=2.401, absmax=10.66 +2025-11-04 13:16:33,761 ERROR: Encountered non-finite generator loss at iter 20099; skipping update. +2025-11-04 13:16:33,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:33,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:33,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.64, mean=0.02245, std=3.241, absmax=12.64 +2025-11-04 13:16:33,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=10.99, mean=0.03547, std=2.965, absmax=11.11 +2025-11-04 13:16:34,121 ERROR: Encountered non-finite generator loss at iter 20100; skipping update. +2025-11-04 13:16:34,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:34,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.56, mean=-0.171, std=3.505, absmax=13.56 +2025-11-04 13:16:34,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=11.86, mean=-0.1475, std=3.287, absmax=12.57 +2025-11-04 13:16:34,125 INFO: [38..][epoch: 0, step: 20,100, lr:(2.000e-04,)] [eta: 1 day, 8:49:10, time (data): 0.361 (0.000)] +2025-11-04 13:16:34,481 ERROR: Encountered non-finite generator loss at iter 20101; skipping update. +2025-11-04 13:16:34,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:34,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.19, max=15.61, mean=-0.1842, std=2.775, absmax=17.19 +2025-11-04 13:16:34,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.86, max=12.65, mean=-0.1715, std=2.541, absmax=14.86 +2025-11-04 13:16:34,840 ERROR: Encountered non-finite generator loss at iter 20102; skipping update. +2025-11-04 13:16:34,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:34,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:34,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=15.24, mean=-0.1276, std=2.569, absmax=15.24 +2025-11-04 13:16:34,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=14.59, mean=-0.07727, std=2.513, absmax=14.59 +2025-11-04 13:16:35,200 ERROR: Encountered non-finite generator loss at iter 20103; skipping update. +2025-11-04 13:16:35,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:35,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=10.17, mean=-0.1305, std=2.857, absmax=13.12 +2025-11-04 13:16:35,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=9.825, mean=-0.1151, std=2.685, absmax=11.94 +2025-11-04 13:16:35,560 ERROR: Encountered non-finite generator loss at iter 20104; skipping update. +2025-11-04 13:16:35,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:35,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.34, mean=-0.2183, std=2.719, absmax=11.61 +2025-11-04 13:16:35,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=10.65, mean=-0.191, std=2.62, absmax=10.65 +2025-11-04 13:16:35,920 ERROR: Encountered non-finite generator loss at iter 20105; skipping update. +2025-11-04 13:16:35,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:35,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:35,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.62, mean=-0.02318, std=3.741, absmax=14.62 +2025-11-04 13:16:35,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=13.87, mean=-0.01592, std=3.456, absmax=13.87 +2025-11-04 13:16:36,280 ERROR: Encountered non-finite generator loss at iter 20106; skipping update. +2025-11-04 13:16:36,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:36,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:36,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:36,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:36,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=18.18, mean=-0.09003, std=3.137, absmax=18.18 +2025-11-04 13:16:36,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=16.15, mean=-0.08823, std=2.96, absmax=16.15 +2025-11-04 13:16:36,640 ERROR: Encountered non-finite generator loss at iter 20107; skipping update. +2025-11-04 13:16:36,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:36,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:36,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:36,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:36,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.88, mean=-0.06817, std=3.614, absmax=13.88 +2025-11-04 13:16:36,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=13.13, mean=-0.06114, std=3.328, absmax=13.13 +2025-11-04 13:16:37,000 ERROR: Encountered non-finite generator loss at iter 20108; skipping update. +2025-11-04 13:16:37,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:37,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=15.34, mean=-0.09628, std=3.413, absmax=15.34 +2025-11-04 13:16:37,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=14.13, mean=-0.09808, std=3.075, absmax=14.13 +2025-11-04 13:16:37,360 ERROR: Encountered non-finite generator loss at iter 20109; skipping update. +2025-11-04 13:16:37,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:37,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.92, mean=-0.0476, std=2.739, absmax=11.99 +2025-11-04 13:16:37,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=10.28, mean=-0.08184, std=2.589, absmax=10.7 +2025-11-04 13:16:37,720 ERROR: Encountered non-finite generator loss at iter 20110; skipping update. +2025-11-04 13:16:37,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:37,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:37,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.12, mean=-0.1438, std=3.123, absmax=14.12 +2025-11-04 13:16:37,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=12.36, mean=-0.1678, std=2.985, absmax=12.87 +2025-11-04 13:16:38,079 ERROR: Encountered non-finite generator loss at iter 20111; skipping update. +2025-11-04 13:16:38,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:38,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.31, mean=-0.1679, std=2.746, absmax=13.31 +2025-11-04 13:16:38,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=11.82, mean=-0.1461, std=2.492, absmax=11.82 +2025-11-04 13:16:38,439 ERROR: Encountered non-finite generator loss at iter 20112; skipping update. +2025-11-04 13:16:38,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:38,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=11.4, mean=-0.1719, std=2.626, absmax=12.21 +2025-11-04 13:16:38,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.31, mean=-0.1655, std=2.435, absmax=10.83 +2025-11-04 13:16:38,799 ERROR: Encountered non-finite generator loss at iter 20113; skipping update. +2025-11-04 13:16:38,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:38,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:38,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.77, mean=-0.129, std=3.451, absmax=13.77 +2025-11-04 13:16:38,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=13.49, mean=-0.1171, std=3.138, absmax=13.49 +2025-11-04 13:16:39,159 ERROR: Encountered non-finite generator loss at iter 20114; skipping update. +2025-11-04 13:16:39,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:39,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=14.44, mean=-0.06409, std=3.196, absmax=14.79 +2025-11-04 13:16:39,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=13.7, mean=-0.08827, std=2.977, absmax=13.7 +2025-11-04 13:16:39,519 ERROR: Encountered non-finite generator loss at iter 20115; skipping update. +2025-11-04 13:16:39,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:39,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.1, mean=-0.3413, std=2.959, absmax=12.46 +2025-11-04 13:16:39,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=10.99, mean=-0.3203, std=2.737, absmax=11.92 +2025-11-04 13:16:39,879 ERROR: Encountered non-finite generator loss at iter 20116; skipping update. +2025-11-04 13:16:39,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:39,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:39,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.78, mean=0.0002122, std=3.147, absmax=13.78 +2025-11-04 13:16:39,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=12.57, mean=0.01897, std=2.896, absmax=12.57 +2025-11-04 13:16:40,239 ERROR: Encountered non-finite generator loss at iter 20117; skipping update. +2025-11-04 13:16:40,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:40,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=14.79, mean=0.1087, std=3.458, absmax=14.79 +2025-11-04 13:16:40,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=13.72, mean=0.1042, std=3.14, absmax=13.72 +2025-11-04 13:16:40,599 ERROR: Encountered non-finite generator loss at iter 20118; skipping update. +2025-11-04 13:16:40,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:40,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.29, max=14.76, mean=-0.1655, std=3.075, absmax=16.29 +2025-11-04 13:16:40,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.25, max=10.76, mean=-0.1703, std=2.841, absmax=15.25 +2025-11-04 13:16:40,959 ERROR: Encountered non-finite generator loss at iter 20119; skipping update. +2025-11-04 13:16:40,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:40,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:40,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=11.12, mean=0.02393, std=2.921, absmax=13.4 +2025-11-04 13:16:40,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.16, mean=-0.01358, std=2.659, absmax=11.91 +2025-11-04 13:16:41,319 ERROR: Encountered non-finite generator loss at iter 20120; skipping update. +2025-11-04 13:16:41,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:41,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:41,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:41,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:41,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=15.26, mean=-0.1238, std=3.115, absmax=15.26 +2025-11-04 13:16:41,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=13.76, mean=-0.107, std=2.936, absmax=13.76 +2025-11-04 13:16:41,678 ERROR: Encountered non-finite generator loss at iter 20121; skipping update. +2025-11-04 13:16:41,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:41,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:41,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:41,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:41,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.94, mean=-0.2187, std=3.014, absmax=12.94 +2025-11-04 13:16:41,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.42, mean=-0.2207, std=2.635, absmax=12.42 +2025-11-04 13:16:42,038 ERROR: Encountered non-finite generator loss at iter 20122; skipping update. +2025-11-04 13:16:42,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:42,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.7, mean=-0.1369, std=2.998, absmax=13.7 +2025-11-04 13:16:42,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=12.81, mean=-0.1147, std=2.888, absmax=12.81 +2025-11-04 13:16:42,398 ERROR: Encountered non-finite generator loss at iter 20123; skipping update. +2025-11-04 13:16:42,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:42,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.56, mean=0.06184, std=3.372, absmax=14.56 +2025-11-04 13:16:42,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.52, mean=0.05442, std=3.098, absmax=12.52 +2025-11-04 13:16:42,758 ERROR: Encountered non-finite generator loss at iter 20124; skipping update. +2025-11-04 13:16:42,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:42,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:42,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.69, mean=-0.1882, std=2.554, absmax=11.91 +2025-11-04 13:16:42,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=10.03, mean=-0.1704, std=2.377, absmax=10.03 +2025-11-04 13:16:43,118 ERROR: Encountered non-finite generator loss at iter 20125; skipping update. +2025-11-04 13:16:43,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:43,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.32, mean=-0.2077, std=3.103, absmax=12.32 +2025-11-04 13:16:43,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.23, mean=-0.2307, std=3.006, absmax=12.1 +2025-11-04 13:16:43,478 ERROR: Encountered non-finite generator loss at iter 20126; skipping update. +2025-11-04 13:16:43,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:43,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=11.93, mean=-0.01673, std=3.064, absmax=11.93 +2025-11-04 13:16:43,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=10.7, mean=-0.04406, std=2.828, absmax=10.7 +2025-11-04 13:16:43,838 ERROR: Encountered non-finite generator loss at iter 20127; skipping update. +2025-11-04 13:16:43,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:43,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:43,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=13.28, mean=-0.1623, std=2.991, absmax=15.11 +2025-11-04 13:16:43,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.16, max=12.45, mean=-0.1237, std=2.892, absmax=14.16 +2025-11-04 13:16:44,199 ERROR: Encountered non-finite generator loss at iter 20128; skipping update. +2025-11-04 13:16:44,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:44,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.09, mean=-0.06426, std=2.647, absmax=12.37 +2025-11-04 13:16:44,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.91, mean=-0.07159, std=2.412, absmax=10.91 +2025-11-04 13:16:44,559 ERROR: Encountered non-finite generator loss at iter 20129; skipping update. +2025-11-04 13:16:44,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:44,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=15.27, mean=0.003343, std=3.338, absmax=15.27 +2025-11-04 13:16:44,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=14.54, mean=9.437e-05, std=3.072, absmax=14.54 +2025-11-04 13:16:44,920 ERROR: Encountered non-finite generator loss at iter 20130; skipping update. +2025-11-04 13:16:44,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:44,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:44,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=10.95, mean=-0.1814, std=2.82, absmax=14 +2025-11-04 13:16:44,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.3, mean=-0.1807, std=2.595, absmax=11.18 +2025-11-04 13:16:45,280 ERROR: Encountered non-finite generator loss at iter 20131; skipping update. +2025-11-04 13:16:45,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:45,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:45,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:45,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:45,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.32, mean=-0.1813, std=2.853, absmax=12.32 +2025-11-04 13:16:45,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=10.77, mean=-0.1775, std=2.655, absmax=11.75 +2025-11-04 13:16:45,639 ERROR: Encountered non-finite generator loss at iter 20132; skipping update. +2025-11-04 13:16:45,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:45,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:45,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:45,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:45,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=17.11, mean=-0.06375, std=3.211, absmax=17.11 +2025-11-04 13:16:45,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=15.21, mean=-0.06837, std=2.995, absmax=15.21 +2025-11-04 13:16:45,999 ERROR: Encountered non-finite generator loss at iter 20133; skipping update. +2025-11-04 13:16:46,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:46,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.23, mean=-0.06119, std=3.003, absmax=13.05 +2025-11-04 13:16:46,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=12.46, mean=-0.04981, std=2.999, absmax=12.46 +2025-11-04 13:16:46,360 ERROR: Encountered non-finite generator loss at iter 20134; skipping update. +2025-11-04 13:16:46,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:46,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.34, mean=-0.2771, std=2.557, absmax=11.38 +2025-11-04 13:16:46,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=9.61, mean=-0.3019, std=2.451, absmax=10.56 +2025-11-04 13:16:46,720 ERROR: Encountered non-finite generator loss at iter 20135; skipping update. +2025-11-04 13:16:46,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:46,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:46,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.66, mean=-0.1913, std=3.552, absmax=13.66 +2025-11-04 13:16:46,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=13.22, mean=-0.1993, std=3.299, absmax=13.22 +2025-11-04 13:16:47,079 ERROR: Encountered non-finite generator loss at iter 20136; skipping update. +2025-11-04 13:16:47,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:47,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.98, mean=-0.005048, std=3.027, absmax=11.98 +2025-11-04 13:16:47,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=11.94, mean=0.0006375, std=2.883, absmax=11.94 +2025-11-04 13:16:47,439 ERROR: Encountered non-finite generator loss at iter 20137; skipping update. +2025-11-04 13:16:47,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:47,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.4, mean=-0.01861, std=3.081, absmax=13.95 +2025-11-04 13:16:47,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.38, mean=-0.009821, std=2.886, absmax=11.95 +2025-11-04 13:16:47,800 ERROR: Encountered non-finite generator loss at iter 20138; skipping update. +2025-11-04 13:16:47,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:47,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:47,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.01, mean=-0.2096, std=2.603, absmax=12.65 +2025-11-04 13:16:47,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=9.866, mean=-0.188, std=2.549, absmax=10.72 +2025-11-04 13:16:48,160 ERROR: Encountered non-finite generator loss at iter 20139; skipping update. +2025-11-04 13:16:48,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:48,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.46, mean=-0.2986, std=2.949, absmax=12.46 +2025-11-04 13:16:48,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=11.13, mean=-0.2765, std=2.754, absmax=11.13 +2025-11-04 13:16:48,520 ERROR: Encountered non-finite generator loss at iter 20140; skipping update. +2025-11-04 13:16:48,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:48,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=14.34, mean=-0.1562, std=2.711, absmax=14.34 +2025-11-04 13:16:48,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=12.45, mean=-0.151, std=2.614, absmax=12.45 +2025-11-04 13:16:48,880 ERROR: Encountered non-finite generator loss at iter 20141; skipping update. +2025-11-04 13:16:48,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:48,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:48,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=14.5, mean=-0.1146, std=3.127, absmax=14.5 +2025-11-04 13:16:48,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=15.02, mean=-0.05171, std=3.115, absmax=15.02 +2025-11-04 13:16:49,240 ERROR: Encountered non-finite generator loss at iter 20142; skipping update. +2025-11-04 13:16:49,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:49,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.8, mean=-0.05149, std=3.138, absmax=14.8 +2025-11-04 13:16:49,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=13.59, mean=-0.08337, std=2.849, absmax=13.59 +2025-11-04 13:16:49,600 ERROR: Encountered non-finite generator loss at iter 20143; skipping update. +2025-11-04 13:16:49,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:49,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=13.63, mean=-0.01983, std=3.139, absmax=13.63 +2025-11-04 13:16:49,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=13.55, mean=-0.02159, std=2.943, absmax=13.55 +2025-11-04 13:16:49,960 ERROR: Encountered non-finite generator loss at iter 20144; skipping update. +2025-11-04 13:16:49,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:49,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:49,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=15.16, mean=0.1193, std=3.915, absmax=15.16 +2025-11-04 13:16:49,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=15.04, mean=0.1242, std=3.636, absmax=15.04 +2025-11-04 13:16:50,320 ERROR: Encountered non-finite generator loss at iter 20145; skipping update. +2025-11-04 13:16:50,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:50,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:50,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:50,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:50,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.87, mean=-0.08578, std=2.664, absmax=11.91 +2025-11-04 13:16:50,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=11.53, mean=-0.05558, std=2.507, absmax=11.53 +2025-11-04 13:16:50,680 ERROR: Encountered non-finite generator loss at iter 20146; skipping update. +2025-11-04 13:16:50,682 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:50,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:50,683 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:50,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:50,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=11.89, mean=-0.2826, std=3.073, absmax=14.1 +2025-11-04 13:16:50,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.33, max=9.498, mean=-0.2513, std=2.827, absmax=13.33 +2025-11-04 13:16:51,041 ERROR: Encountered non-finite generator loss at iter 20147; skipping update. +2025-11-04 13:16:51,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:51,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=12.01, mean=-0.1895, std=2.51, absmax=12.01 +2025-11-04 13:16:51,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=9.911, mean=-0.1728, std=2.281, absmax=10.62 +2025-11-04 13:16:51,400 ERROR: Encountered non-finite generator loss at iter 20148; skipping update. +2025-11-04 13:16:51,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,403 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:51,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=15.19, mean=0.001645, std=3.441, absmax=15.2 +2025-11-04 13:16:51,404 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=15.17, mean=0.0231, std=3.315, absmax=15.17 +2025-11-04 13:16:51,760 ERROR: Encountered non-finite generator loss at iter 20149; skipping update. +2025-11-04 13:16:51,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:51,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:51,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.84, mean=0.07429, std=3.256, absmax=12.91 +2025-11-04 13:16:51,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=12.44, mean=0.0772, std=3, absmax=12.44 +2025-11-04 13:16:52,121 ERROR: Encountered non-finite generator loss at iter 20150; skipping update. +2025-11-04 13:16:52,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:52,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.73, mean=-0.1093, std=2.777, absmax=12.73 +2025-11-04 13:16:52,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=11.51, mean=-0.1025, std=2.539, absmax=11.51 +2025-11-04 13:16:52,481 ERROR: Encountered non-finite generator loss at iter 20151; skipping update. +2025-11-04 13:16:52,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:52,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.81, mean=-0.1011, std=3.282, absmax=13.81 +2025-11-04 13:16:52,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.49, mean=-0.1129, std=3.034, absmax=12.49 +2025-11-04 13:16:52,841 ERROR: Encountered non-finite generator loss at iter 20152; skipping update. +2025-11-04 13:16:52,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:52,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:52,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.98, mean=-0.0237, std=3.526, absmax=14.98 +2025-11-04 13:16:52,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.96, mean=-0.01063, std=3.229, absmax=12.96 +2025-11-04 13:16:53,202 ERROR: Encountered non-finite generator loss at iter 20153; skipping update. +2025-11-04 13:16:53,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:53,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.73, mean=0.001356, std=2.98, absmax=12.73 +2025-11-04 13:16:53,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.6, mean=-0.003854, std=2.771, absmax=11.6 +2025-11-04 13:16:53,561 ERROR: Encountered non-finite generator loss at iter 20154; skipping update. +2025-11-04 13:16:53,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:53,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=10.9, mean=-0.2509, std=2.944, absmax=13.46 +2025-11-04 13:16:53,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=9.593, mean=-0.2553, std=2.745, absmax=12.54 +2025-11-04 13:16:53,921 ERROR: Encountered non-finite generator loss at iter 20155; skipping update. +2025-11-04 13:16:53,923 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,924 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:53,924 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:53,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.85, mean=-0.2546, std=2.842, absmax=13.85 +2025-11-04 13:16:53,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=13.16, mean=-0.2196, std=2.672, absmax=13.16 +2025-11-04 13:16:54,281 ERROR: Encountered non-finite generator loss at iter 20156; skipping update. +2025-11-04 13:16:54,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:54,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:54,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:54,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:54,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.62, mean=-0.227, std=2.745, absmax=13.3 +2025-11-04 13:16:54,285 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=10.6, mean=-0.2346, std=2.59, absmax=12.7 +2025-11-04 13:16:54,641 ERROR: Encountered non-finite generator loss at iter 20157; skipping update. +2025-11-04 13:16:54,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:54,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:54,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:54,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:54,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.85, mean=-0.1982, std=2.736, absmax=12.9 +2025-11-04 13:16:54,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.864, max=11.52, mean=-0.1594, std=2.501, absmax=11.52 +2025-11-04 13:16:55,000 ERROR: Encountered non-finite generator loss at iter 20158; skipping update. +2025-11-04 13:16:55,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:55,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.05, mean=-0.3088, std=3.107, absmax=13.36 +2025-11-04 13:16:55,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.99, mean=-0.2804, std=2.978, absmax=12.29 +2025-11-04 13:16:55,360 ERROR: Encountered non-finite generator loss at iter 20159; skipping update. +2025-11-04 13:16:55,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:55,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.66, mean=-0.2739, std=3.041, absmax=13.66 +2025-11-04 13:16:55,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.82, mean=-0.2414, std=2.762, absmax=11.82 +2025-11-04 13:16:55,721 ERROR: Encountered non-finite generator loss at iter 20160; skipping update. +2025-11-04 13:16:55,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:55,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:55,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.7, mean=-0.2017, std=2.821, absmax=13.7 +2025-11-04 13:16:55,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=11.43, mean=-0.1338, std=2.703, absmax=11.43 +2025-11-04 13:16:56,080 ERROR: Encountered non-finite generator loss at iter 20161; skipping update. +2025-11-04 13:16:56,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:56,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.26, mean=-0.01802, std=3.142, absmax=12.26 +2025-11-04 13:16:56,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=11.44, mean=-0.04459, std=2.935, absmax=11.44 +2025-11-04 13:16:56,440 ERROR: Encountered non-finite generator loss at iter 20162; skipping update. +2025-11-04 13:16:56,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:56,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.17, mean=-0.1802, std=2.183, absmax=11.52 +2025-11-04 13:16:56,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.31, mean=-0.21, std=2.159, absmax=11.31 +2025-11-04 13:16:56,800 ERROR: Encountered non-finite generator loss at iter 20163; skipping update. +2025-11-04 13:16:56,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:56,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:56,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.32, mean=-0.1384, std=2.868, absmax=12.32 +2025-11-04 13:16:56,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=13.46, mean=-0.1443, std=2.741, absmax=13.46 +2025-11-04 13:16:57,160 ERROR: Encountered non-finite generator loss at iter 20164; skipping update. +2025-11-04 13:16:57,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:57,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.92, mean=-0.2614, std=3.234, absmax=14.92 +2025-11-04 13:16:57,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=10.16, mean=-0.2776, std=2.966, absmax=12.76 +2025-11-04 13:16:57,520 ERROR: Encountered non-finite generator loss at iter 20165; skipping update. +2025-11-04 13:16:57,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:57,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=15.02, mean=-0.1112, std=3.176, absmax=15.02 +2025-11-04 13:16:57,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=11.94, mean=-0.112, std=2.991, absmax=13.11 +2025-11-04 13:16:57,880 ERROR: Encountered non-finite generator loss at iter 20166; skipping update. +2025-11-04 13:16:57,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:57,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:57,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.34, mean=0.04908, std=3.128, absmax=14.34 +2025-11-04 13:16:57,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=13.48, mean=0.0787, std=2.966, absmax=13.48 +2025-11-04 13:16:58,239 ERROR: Encountered non-finite generator loss at iter 20167; skipping update. +2025-11-04 13:16:58,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:58,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=15.49, mean=-0.208, std=3.115, absmax=15.49 +2025-11-04 13:16:58,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=15.17, mean=-0.2016, std=2.936, absmax=15.17 +2025-11-04 13:16:58,599 ERROR: Encountered non-finite generator loss at iter 20168; skipping update. +2025-11-04 13:16:58,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:58,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.04, mean=-0.1228, std=3.259, absmax=14.04 +2025-11-04 13:16:58,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.76, mean=-0.09115, std=2.987, absmax=12.76 +2025-11-04 13:16:58,959 ERROR: Encountered non-finite generator loss at iter 20169; skipping update. +2025-11-04 13:16:58,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:58,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:58,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.77, mean=-0.2272, std=2.863, absmax=12.98 +2025-11-04 13:16:58,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=10.37, mean=-0.2252, std=2.698, absmax=12.6 +2025-11-04 13:16:59,319 ERROR: Encountered non-finite generator loss at iter 20170; skipping update. +2025-11-04 13:16:59,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:59,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:59,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:59,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:59,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.32, mean=-0.000321, std=3.627, absmax=13.32 +2025-11-04 13:16:59,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=11.84, mean=0.01466, std=3.328, absmax=11.84 +2025-11-04 13:16:59,679 ERROR: Encountered non-finite generator loss at iter 20171; skipping update. +2025-11-04 13:16:59,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:59,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:16:59,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:16:59,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:16:59,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=15.2, mean=-0.2442, std=3.445, absmax=15.2 +2025-11-04 13:16:59,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=13.02, mean=-0.2171, std=3.205, absmax=13.02 +2025-11-04 13:17:00,040 ERROR: Encountered non-finite generator loss at iter 20172; skipping update. +2025-11-04 13:17:00,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:00,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.63, mean=-0.1193, std=2.825, absmax=13.63 +2025-11-04 13:17:00,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.96, mean=-0.0865, std=2.579, absmax=11.96 +2025-11-04 13:17:00,400 ERROR: Encountered non-finite generator loss at iter 20173; skipping update. +2025-11-04 13:17:00,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:00,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11.41, mean=-0.1349, std=2.512, absmax=12.39 +2025-11-04 13:17:00,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=10.69, mean=-0.1134, std=2.387, absmax=10.72 +2025-11-04 13:17:00,759 ERROR: Encountered non-finite generator loss at iter 20174; skipping update. +2025-11-04 13:17:00,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:00,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:00,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.56, mean=0.005676, std=3.355, absmax=13.56 +2025-11-04 13:17:00,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=12.34, mean=0.008494, std=3.083, absmax=12.34 +2025-11-04 13:17:01,120 ERROR: Encountered non-finite generator loss at iter 20175; skipping update. +2025-11-04 13:17:01,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:01,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.26, mean=-0.1979, std=2.906, absmax=13.42 +2025-11-04 13:17:01,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=11.29, mean=-0.1995, std=2.684, absmax=12.03 +2025-11-04 13:17:01,480 ERROR: Encountered non-finite generator loss at iter 20176; skipping update. +2025-11-04 13:17:01,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:01,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.21, mean=-0.01437, std=2.994, absmax=13.21 +2025-11-04 13:17:01,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.84, mean=0.01319, std=2.73, absmax=12.84 +2025-11-04 13:17:01,841 ERROR: Encountered non-finite generator loss at iter 20177; skipping update. +2025-11-04 13:17:01,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:01,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:01,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=10.66, mean=-0.3336, std=2.838, absmax=13.57 +2025-11-04 13:17:01,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.43, max=11.45, mean=-0.2673, std=2.671, absmax=13.43 +2025-11-04 13:17:02,200 ERROR: Encountered non-finite generator loss at iter 20178; skipping update. +2025-11-04 13:17:02,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:02,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=12.05, mean=-0.1817, std=2.636, absmax=12.05 +2025-11-04 13:17:02,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.824, max=11.45, mean=-0.1629, std=2.382, absmax=11.45 +2025-11-04 13:17:02,559 ERROR: Encountered non-finite generator loss at iter 20179; skipping update. +2025-11-04 13:17:02,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:02,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.02, mean=-0.03887, std=3.173, absmax=15.02 +2025-11-04 13:17:02,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=12.02, mean=-0.001604, std=2.898, absmax=12.02 +2025-11-04 13:17:02,919 ERROR: Encountered non-finite generator loss at iter 20180; skipping update. +2025-11-04 13:17:02,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:02,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:02,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.79, mean=0.09373, std=3.658, absmax=14.79 +2025-11-04 13:17:02,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=12.9, mean=0.1093, std=3.395, absmax=12.9 +2025-11-04 13:17:03,279 ERROR: Encountered non-finite generator loss at iter 20181; skipping update. +2025-11-04 13:17:03,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:03,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:03,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:03,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:03,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=10.61, mean=-0.1863, std=2.658, absmax=12.38 +2025-11-04 13:17:03,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=9.879, mean=-0.1668, std=2.501, absmax=10.5 +2025-11-04 13:17:03,639 ERROR: Encountered non-finite generator loss at iter 20182; skipping update. +2025-11-04 13:17:03,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:03,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:03,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:03,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:03,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.33, mean=-0.1698, std=3.571, absmax=13.33 +2025-11-04 13:17:03,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.99, mean=-0.1724, std=3.269, absmax=11.99 +2025-11-04 13:17:03,999 ERROR: Encountered non-finite generator loss at iter 20183; skipping update. +2025-11-04 13:17:04,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:04,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.91, mean=-0.1288, std=3.098, absmax=13.35 +2025-11-04 13:17:04,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=11.34, mean=-0.09651, std=2.836, absmax=12.11 +2025-11-04 13:17:04,358 ERROR: Encountered non-finite generator loss at iter 20184; skipping update. +2025-11-04 13:17:04,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:04,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.97, mean=-0.1796, std=2.802, absmax=12.97 +2025-11-04 13:17:04,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=10.87, mean=-0.193, std=2.539, absmax=10.94 +2025-11-04 13:17:04,719 ERROR: Encountered non-finite generator loss at iter 20185; skipping update. +2025-11-04 13:17:04,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:04,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:04,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.05, mean=-0.2274, std=3.087, absmax=13.05 +2025-11-04 13:17:04,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=11.97, mean=-0.2176, std=2.923, absmax=11.97 +2025-11-04 13:17:05,079 ERROR: Encountered non-finite generator loss at iter 20186; skipping update. +2025-11-04 13:17:05,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:05,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=11.36, mean=0.05309, std=3.097, absmax=13.81 +2025-11-04 13:17:05,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=10.75, mean=0.05644, std=2.867, absmax=11.99 +2025-11-04 13:17:05,439 ERROR: Encountered non-finite generator loss at iter 20187; skipping update. +2025-11-04 13:17:05,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:05,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.46, mean=-0.1129, std=3.075, absmax=13.5 +2025-11-04 13:17:05,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=10.44, mean=-0.1037, std=2.823, absmax=11.96 +2025-11-04 13:17:05,799 ERROR: Encountered non-finite generator loss at iter 20188; skipping update. +2025-11-04 13:17:05,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:05,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:05,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12, mean=-0.08865, std=2.799, absmax=12 +2025-11-04 13:17:05,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=10.89, mean=-0.02923, std=2.59, absmax=10.89 +2025-11-04 13:17:06,158 ERROR: Encountered non-finite generator loss at iter 20189; skipping update. +2025-11-04 13:17:06,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:06,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=16.69, mean=-0.04105, std=3.312, absmax=16.69 +2025-11-04 13:17:06,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=15.6, mean=-0.04511, std=3.07, absmax=15.6 +2025-11-04 13:17:06,518 ERROR: Encountered non-finite generator loss at iter 20190; skipping update. +2025-11-04 13:17:06,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:06,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=9.877, mean=-0.3067, std=2.735, absmax=12.65 +2025-11-04 13:17:06,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=9.537, mean=-0.3538, std=2.555, absmax=11.39 +2025-11-04 13:17:06,878 ERROR: Encountered non-finite generator loss at iter 20191; skipping update. +2025-11-04 13:17:06,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:06,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:06,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=11.25, mean=-0.2583, std=3.296, absmax=14.97 +2025-11-04 13:17:06,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.52, max=10.26, mean=-0.2529, std=2.972, absmax=13.52 +2025-11-04 13:17:07,238 ERROR: Encountered non-finite generator loss at iter 20192; skipping update. +2025-11-04 13:17:07,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:07,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=14.59, mean=0.03476, std=3.06, absmax=14.59 +2025-11-04 13:17:07,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=12.7, mean=0.07853, std=2.839, absmax=12.7 +2025-11-04 13:17:07,598 ERROR: Encountered non-finite generator loss at iter 20193; skipping update. +2025-11-04 13:17:07,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:07,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=12.2, mean=-0.4387, std=3.511, absmax=15.06 +2025-11-04 13:17:07,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=12.45, mean=-0.4336, std=3.324, absmax=13.76 +2025-11-04 13:17:07,957 ERROR: Encountered non-finite generator loss at iter 20194; skipping update. +2025-11-04 13:17:07,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:07,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:07,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.7, mean=-0.2836, std=3.22, absmax=13.7 +2025-11-04 13:17:07,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.65, mean=-0.2992, std=3.008, absmax=12.65 +2025-11-04 13:17:08,317 ERROR: Encountered non-finite generator loss at iter 20195; skipping update. +2025-11-04 13:17:08,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:08,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:08,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:08,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:08,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.02, mean=-0.3501, std=2.856, absmax=12.88 +2025-11-04 13:17:08,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=10.08, mean=-0.3492, std=2.723, absmax=11.98 +2025-11-04 13:17:08,677 ERROR: Encountered non-finite generator loss at iter 20196; skipping update. +2025-11-04 13:17:08,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:08,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:08,679 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:08,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:08,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.6, mean=-0.1365, std=2.871, absmax=13.04 +2025-11-04 13:17:08,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.18, mean=-0.08196, std=2.746, absmax=11.91 +2025-11-04 13:17:09,037 ERROR: Encountered non-finite generator loss at iter 20197; skipping update. +2025-11-04 13:17:09,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:09,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.45, mean=-0.05745, std=3.254, absmax=13.45 +2025-11-04 13:17:09,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.5, mean=-0.04278, std=3.065, absmax=12.5 +2025-11-04 13:17:09,398 ERROR: Encountered non-finite generator loss at iter 20198; skipping update. +2025-11-04 13:17:09,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:09,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.37, mean=-0.3359, std=2.896, absmax=12.59 +2025-11-04 13:17:09,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=12.13, mean=-0.2706, std=2.763, absmax=12.13 +2025-11-04 13:17:09,757 ERROR: Encountered non-finite generator loss at iter 20199; skipping update. +2025-11-04 13:17:09,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:09,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:09,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=10.46, mean=-0.2322, std=2.857, absmax=13.47 +2025-11-04 13:17:09,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=9.006, mean=-0.2073, std=2.721, absmax=11.9 +2025-11-04 13:17:10,117 ERROR: Encountered non-finite generator loss at iter 20200; skipping update. +2025-11-04 13:17:10,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:10,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=15.52, mean=0.01599, std=3.473, absmax=15.52 +2025-11-04 13:17:10,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=15.03, mean=0.03438, std=3.251, absmax=15.03 +2025-11-04 13:17:10,121 INFO: [38..][epoch: 0, step: 20,200, lr:(2.000e-04,)] [eta: 1 day, 8:40:40, time (data): 0.360 (0.000)] +2025-11-04 13:17:10,478 ERROR: Encountered non-finite generator loss at iter 20201; skipping update. +2025-11-04 13:17:10,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:10,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.63, mean=0.06355, std=3.084, absmax=13.63 +2025-11-04 13:17:10,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=12.63, mean=0.04394, std=2.808, absmax=13.41 +2025-11-04 13:17:10,838 ERROR: Encountered non-finite generator loss at iter 20202; skipping update. +2025-11-04 13:17:10,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:10,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:10,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.51, mean=-0.1953, std=2.991, absmax=13.75 +2025-11-04 13:17:10,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=10.36, mean=-0.166, std=2.793, absmax=12.87 +2025-11-04 13:17:11,198 ERROR: Encountered non-finite generator loss at iter 20203; skipping update. +2025-11-04 13:17:11,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:11,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=13.08, mean=-0.2282, std=2.48, absmax=13.08 +2025-11-04 13:17:11,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.9, mean=-0.2414, std=2.303, absmax=10.9 +2025-11-04 13:17:11,557 ERROR: Encountered non-finite generator loss at iter 20204; skipping update. +2025-11-04 13:17:11,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:11,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=13.34, mean=-0.167, std=3.784, absmax=14.72 +2025-11-04 13:17:11,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=11.81, mean=-0.1612, std=3.436, absmax=13.16 +2025-11-04 13:17:11,918 ERROR: Encountered non-finite generator loss at iter 20205; skipping update. +2025-11-04 13:17:11,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:11,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:11,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=13.68, mean=-0.001003, std=3.193, absmax=13.68 +2025-11-04 13:17:11,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=12.92, mean=-0.03594, std=3.095, absmax=12.92 +2025-11-04 13:17:12,278 ERROR: Encountered non-finite generator loss at iter 20206; skipping update. +2025-11-04 13:17:12,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:12,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:12,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:12,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:12,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.87, mean=-0.1948, std=2.825, absmax=14.87 +2025-11-04 13:17:12,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=10.9, mean=-0.1712, std=2.71, absmax=12.9 +2025-11-04 13:17:12,638 ERROR: Encountered non-finite generator loss at iter 20207; skipping update. +2025-11-04 13:17:12,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:12,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:12,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:12,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:12,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.97, mean=-0.1114, std=2.701, absmax=12.36 +2025-11-04 13:17:12,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=11.12, mean=-0.1463, std=2.563, absmax=11.2 +2025-11-04 13:17:12,998 ERROR: Encountered non-finite generator loss at iter 20208; skipping update. +2025-11-04 13:17:12,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:13,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=11.66, mean=-0.07334, std=2.907, absmax=11.98 +2025-11-04 13:17:13,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=9.617, mean=-0.07427, std=2.622, absmax=10.32 +2025-11-04 13:17:13,358 ERROR: Encountered non-finite generator loss at iter 20209; skipping update. +2025-11-04 13:17:13,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:13,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=14.76, mean=-0.04397, std=3.127, absmax=14.86 +2025-11-04 13:17:13,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=13.16, mean=-0.03105, std=2.819, absmax=13.16 +2025-11-04 13:17:13,718 ERROR: Encountered non-finite generator loss at iter 20210; skipping update. +2025-11-04 13:17:13,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:13,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:13,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=15.28, mean=-0.1744, std=3.177, absmax=15.28 +2025-11-04 13:17:13,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=13.69, mean=-0.1416, std=2.93, absmax=13.69 +2025-11-04 13:17:14,078 ERROR: Encountered non-finite generator loss at iter 20211; skipping update. +2025-11-04 13:17:14,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:14,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.93, mean=0.08545, std=3.043, absmax=13.93 +2025-11-04 13:17:14,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=12.91, mean=0.02833, std=2.86, absmax=12.91 +2025-11-04 13:17:14,438 ERROR: Encountered non-finite generator loss at iter 20212; skipping update. +2025-11-04 13:17:14,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:14,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.04, mean=0.005559, std=3.188, absmax=14.04 +2025-11-04 13:17:14,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=13.67, mean=0.05018, std=3.005, absmax=13.67 +2025-11-04 13:17:14,798 ERROR: Encountered non-finite generator loss at iter 20213; skipping update. +2025-11-04 13:17:14,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:14,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:14,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.41, mean=-0.1405, std=3.092, absmax=12.61 +2025-11-04 13:17:14,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.08, mean=-0.1528, std=2.914, absmax=11.74 +2025-11-04 13:17:15,158 ERROR: Encountered non-finite generator loss at iter 20214; skipping update. +2025-11-04 13:17:15,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:15,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.74, mean=-0.3081, std=3.256, absmax=13.03 +2025-11-04 13:17:15,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=10.7, mean=-0.2864, std=3.041, absmax=12.5 +2025-11-04 13:17:15,518 ERROR: Encountered non-finite generator loss at iter 20215; skipping update. +2025-11-04 13:17:15,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:15,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.56, mean=-0.1869, std=3.442, absmax=13.56 +2025-11-04 13:17:15,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.73, max=12.1, mean=-0.1583, std=3.386, absmax=13.73 +2025-11-04 13:17:15,877 ERROR: Encountered non-finite generator loss at iter 20216; skipping update. +2025-11-04 13:17:15,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:15,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:15,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=11.66, mean=-0.06815, std=2.759, absmax=12.06 +2025-11-04 13:17:15,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=10.07, mean=-0.009264, std=2.639, absmax=11.72 +2025-11-04 13:17:16,238 ERROR: Encountered non-finite generator loss at iter 20217; skipping update. +2025-11-04 13:17:16,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:16,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.52, mean=-0.04966, std=3.223, absmax=14.23 +2025-11-04 13:17:16,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=12.22, mean=-0.01813, std=3.009, absmax=13 +2025-11-04 13:17:16,598 ERROR: Encountered non-finite generator loss at iter 20218; skipping update. +2025-11-04 13:17:16,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:16,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.12, mean=-0.2891, std=2.996, absmax=13.12 +2025-11-04 13:17:16,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.18, mean=-0.3226, std=2.931, absmax=11.56 +2025-11-04 13:17:16,958 ERROR: Encountered non-finite generator loss at iter 20219; skipping update. +2025-11-04 13:17:16,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:16,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:16,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.75, mean=-0.07706, std=2.795, absmax=14 +2025-11-04 13:17:16,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.48, mean=-0.07524, std=2.569, absmax=11.48 +2025-11-04 13:17:17,318 ERROR: Encountered non-finite generator loss at iter 20220; skipping update. +2025-11-04 13:17:17,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:17,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:17,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:17,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:17,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.1, mean=-0.2156, std=3.443, absmax=15.1 +2025-11-04 13:17:17,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=12.72, mean=-0.2194, std=3.145, absmax=12.72 +2025-11-04 13:17:17,678 ERROR: Encountered non-finite generator loss at iter 20221; skipping update. +2025-11-04 13:17:17,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:17,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:17,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:17,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:17,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.38, mean=0.0381, std=3.445, absmax=14.38 +2025-11-04 13:17:17,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=12.92, mean=0.01955, std=3.165, absmax=12.92 +2025-11-04 13:17:18,038 ERROR: Encountered non-finite generator loss at iter 20222; skipping update. +2025-11-04 13:17:18,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:18,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.54, mean=-0.1707, std=3.584, absmax=13.54 +2025-11-04 13:17:18,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=12.48, mean=-0.1688, std=3.278, absmax=13.47 +2025-11-04 13:17:18,398 ERROR: Encountered non-finite generator loss at iter 20223; skipping update. +2025-11-04 13:17:18,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:18,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=11.47, mean=-0.07124, std=2.62, absmax=11.47 +2025-11-04 13:17:18,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.658, max=9.551, mean=-0.06997, std=2.382, absmax=9.658 +2025-11-04 13:17:18,758 ERROR: Encountered non-finite generator loss at iter 20224; skipping update. +2025-11-04 13:17:18,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:18,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:18,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.23, mean=-0.04515, std=2.938, absmax=14.23 +2025-11-04 13:17:18,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=13.11, mean=-0.03858, std=2.721, absmax=13.11 +2025-11-04 13:17:19,118 ERROR: Encountered non-finite generator loss at iter 20225; skipping update. +2025-11-04 13:17:19,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:19,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=11.16, mean=-0.2644, std=2.865, absmax=14.13 +2025-11-04 13:17:19,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.45, mean=-0.2587, std=2.784, absmax=11.39 +2025-11-04 13:17:19,478 ERROR: Encountered non-finite generator loss at iter 20226; skipping update. +2025-11-04 13:17:19,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:19,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=11.04, mean=-0.1991, std=2.815, absmax=13.6 +2025-11-04 13:17:19,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=9.595, mean=-0.1792, std=2.706, absmax=11.73 +2025-11-04 13:17:19,838 ERROR: Encountered non-finite generator loss at iter 20227; skipping update. +2025-11-04 13:17:19,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:19,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:19,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.21, mean=-0.3955, std=3.625, absmax=13.97 +2025-11-04 13:17:19,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=10.36, mean=-0.3538, std=3.426, absmax=12.95 +2025-11-04 13:17:20,198 ERROR: Encountered non-finite generator loss at iter 20228; skipping update. +2025-11-04 13:17:20,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:20,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=10.87, mean=-0.1706, std=2.674, absmax=11.69 +2025-11-04 13:17:20,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.658, max=9.815, mean=-0.1576, std=2.502, absmax=9.815 +2025-11-04 13:17:20,558 ERROR: Encountered non-finite generator loss at iter 20229; skipping update. +2025-11-04 13:17:20,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:20,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=17.33, mean=-0.1508, std=3.056, absmax=17.33 +2025-11-04 13:17:20,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=14.48, mean=-0.108, std=2.788, absmax=14.48 +2025-11-04 13:17:20,918 ERROR: Encountered non-finite generator loss at iter 20230; skipping update. +2025-11-04 13:17:20,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:20,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:20,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.7, mean=-0.354, std=2.928, absmax=11.97 +2025-11-04 13:17:20,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=10.16, mean=-0.3615, std=2.781, absmax=10.88 +2025-11-04 13:17:21,277 ERROR: Encountered non-finite generator loss at iter 20231; skipping update. +2025-11-04 13:17:21,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:21,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=12.13, mean=-0.2568, std=3.332, absmax=15.59 +2025-11-04 13:17:21,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.51, max=10.71, mean=-0.255, std=3.069, absmax=15.51 +2025-11-04 13:17:21,637 ERROR: Encountered non-finite generator loss at iter 20232; skipping update. +2025-11-04 13:17:21,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:21,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.6, mean=-0.2043, std=2.725, absmax=13.6 +2025-11-04 13:17:21,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.61, mean=-0.2128, std=2.619, absmax=12.61 +2025-11-04 13:17:21,997 ERROR: Encountered non-finite generator loss at iter 20233; skipping update. +2025-11-04 13:17:21,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:21,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:22,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:22,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=11.25, mean=-0.2429, std=2.59, absmax=11.25 +2025-11-04 13:17:22,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.993, max=10.3, mean=-0.2072, std=2.351, absmax=10.3 +2025-11-04 13:17:22,357 ERROR: Encountered non-finite generator loss at iter 20234; skipping update. +2025-11-04 13:17:22,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:22,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:22,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:22,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:22,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.4, max=14.34, mean=0.02136, std=3.453, absmax=16.4 +2025-11-04 13:17:22,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.49, max=13.39, mean=0.01752, std=3.206, absmax=14.49 +2025-11-04 13:17:22,717 ERROR: Encountered non-finite generator loss at iter 20235; skipping update. +2025-11-04 13:17:22,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:22,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:22,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:22,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:22,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.82, mean=-0.194, std=2.839, absmax=11.85 +2025-11-04 13:17:22,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=11.5, mean=-0.2053, std=2.614, absmax=11.5 +2025-11-04 13:17:23,077 ERROR: Encountered non-finite generator loss at iter 20236; skipping update. +2025-11-04 13:17:23,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:23,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.8, mean=-0.2401, std=3.214, absmax=13.8 +2025-11-04 13:17:23,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.9, mean=-0.2315, std=2.915, absmax=12.9 +2025-11-04 13:17:23,436 ERROR: Encountered non-finite generator loss at iter 20237; skipping update. +2025-11-04 13:17:23,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:23,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=15.28, mean=-0.1078, std=3.405, absmax=15.28 +2025-11-04 13:17:23,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=13.76, mean=-0.1034, std=3.257, absmax=13.76 +2025-11-04 13:17:23,796 ERROR: Encountered non-finite generator loss at iter 20238; skipping update. +2025-11-04 13:17:23,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:23,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:23,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.8, mean=-0.114, std=2.569, absmax=12.02 +2025-11-04 13:17:23,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=9.118, mean=-0.1402, std=2.358, absmax=10.25 +2025-11-04 13:17:24,158 ERROR: Encountered non-finite generator loss at iter 20239; skipping update. +2025-11-04 13:17:24,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:24,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=10.67, mean=-0.306, std=3.308, absmax=13.24 +2025-11-04 13:17:24,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=9.68, mean=-0.28, std=3.071, absmax=12.52 +2025-11-04 13:17:24,518 ERROR: Encountered non-finite generator loss at iter 20240; skipping update. +2025-11-04 13:17:24,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:24,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=15.23, mean=-0.1118, std=2.773, absmax=15.23 +2025-11-04 13:17:24,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=12.87, mean=-0.1052, std=2.626, absmax=12.87 +2025-11-04 13:17:24,878 ERROR: Encountered non-finite generator loss at iter 20241; skipping update. +2025-11-04 13:17:24,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:24,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:24,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=13.74, mean=-0.2865, std=3.264, absmax=14.61 +2025-11-04 13:17:24,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=9.382, mean=-0.2994, std=2.929, absmax=12.68 +2025-11-04 13:17:25,238 ERROR: Encountered non-finite generator loss at iter 20242; skipping update. +2025-11-04 13:17:25,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:25,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=14.19, mean=-0.316, std=2.879, absmax=14.19 +2025-11-04 13:17:25,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=13.44, mean=-0.3102, std=2.774, absmax=13.44 +2025-11-04 13:17:25,598 ERROR: Encountered non-finite generator loss at iter 20243; skipping update. +2025-11-04 13:17:25,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:25,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.06, mean=-0.004657, std=3.205, absmax=12.76 +2025-11-04 13:17:25,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=11.14, mean=-0.02376, std=2.988, absmax=12.93 +2025-11-04 13:17:25,958 ERROR: Encountered non-finite generator loss at iter 20244; skipping update. +2025-11-04 13:17:25,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:25,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:25,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.79, mean=-0.2923, std=3.419, absmax=13.79 +2025-11-04 13:17:25,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.14, max=11.48, mean=-0.3005, std=3.116, absmax=13.14 +2025-11-04 13:17:26,318 ERROR: Encountered non-finite generator loss at iter 20245; skipping update. +2025-11-04 13:17:26,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:26,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:26,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:26,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:26,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.4, mean=-0.04285, std=2.685, absmax=12.4 +2025-11-04 13:17:26,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.47, mean=-0.05659, std=2.592, absmax=10.68 +2025-11-04 13:17:26,678 ERROR: Encountered non-finite generator loss at iter 20246; skipping update. +2025-11-04 13:17:26,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:26,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:26,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:26,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:26,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=12.51, mean=-0.1725, std=2.632, absmax=12.51 +2025-11-04 13:17:26,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=10.43, mean=-0.1423, std=2.461, absmax=10.43 +2025-11-04 13:17:27,038 ERROR: Encountered non-finite generator loss at iter 20247; skipping update. +2025-11-04 13:17:27,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:27,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=11.09, mean=-0.3507, std=2.833, absmax=11.48 +2025-11-04 13:17:27,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=10.01, mean=-0.3397, std=2.761, absmax=11.36 +2025-11-04 13:17:27,398 ERROR: Encountered non-finite generator loss at iter 20248; skipping update. +2025-11-04 13:17:27,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:27,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.32, mean=-0.1112, std=2.711, absmax=12.32 +2025-11-04 13:17:27,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.69, mean=-0.1133, std=2.635, absmax=11.46 +2025-11-04 13:17:27,758 ERROR: Encountered non-finite generator loss at iter 20249; skipping update. +2025-11-04 13:17:27,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:27,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:27,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=19.37, mean=-0.1458, std=3.29, absmax=19.37 +2025-11-04 13:17:27,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=16.2, mean=-0.1106, std=3.139, absmax=16.2 +2025-11-04 13:17:28,118 ERROR: Encountered non-finite generator loss at iter 20250; skipping update. +2025-11-04 13:17:28,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:28,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.31, mean=-0.1528, std=2.945, absmax=14.31 +2025-11-04 13:17:28,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=11.72, mean=-0.1372, std=2.704, absmax=11.72 +2025-11-04 13:17:28,477 ERROR: Encountered non-finite generator loss at iter 20251; skipping update. +2025-11-04 13:17:28,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:28,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=15.41, mean=-0.2686, std=3.02, absmax=15.41 +2025-11-04 13:17:28,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=14.4, mean=-0.2143, std=2.807, absmax=14.4 +2025-11-04 13:17:28,837 ERROR: Encountered non-finite generator loss at iter 20252; skipping update. +2025-11-04 13:17:28,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:28,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:28,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.13, mean=-0.2556, std=2.876, absmax=13.75 +2025-11-04 13:17:28,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=10.74, mean=-0.247, std=2.652, absmax=11.82 +2025-11-04 13:17:29,198 ERROR: Encountered non-finite generator loss at iter 20253; skipping update. +2025-11-04 13:17:29,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:29,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.52, mean=-0.02645, std=3.277, absmax=14.52 +2025-11-04 13:17:29,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=14.05, mean=-0.0555, std=3.169, absmax=14.05 +2025-11-04 13:17:29,558 ERROR: Encountered non-finite generator loss at iter 20254; skipping update. +2025-11-04 13:17:29,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:29,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.2, mean=-0.0471, std=3.048, absmax=12.2 +2025-11-04 13:17:29,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=11.53, mean=-0.02644, std=2.784, absmax=11.53 +2025-11-04 13:17:29,918 ERROR: Encountered non-finite generator loss at iter 20255; skipping update. +2025-11-04 13:17:29,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:29,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:29,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.98, mean=-0.2214, std=2.732, absmax=11.98 +2025-11-04 13:17:29,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.901, max=9.351, mean=-0.2284, std=2.522, absmax=9.901 +2025-11-04 13:17:30,277 ERROR: Encountered non-finite generator loss at iter 20256; skipping update. +2025-11-04 13:17:30,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:30,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.19, mean=-0.2097, std=3.113, absmax=13.27 +2025-11-04 13:17:30,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=10.83, mean=-0.2161, std=2.914, absmax=10.83 +2025-11-04 13:17:30,637 ERROR: Encountered non-finite generator loss at iter 20257; skipping update. +2025-11-04 13:17:30,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:30,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.84, mean=-0.2068, std=2.654, absmax=13.23 +2025-11-04 13:17:30,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=11.99, mean=-0.2172, std=2.588, absmax=13.08 +2025-11-04 13:17:30,996 ERROR: Encountered non-finite generator loss at iter 20258; skipping update. +2025-11-04 13:17:30,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:30,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:30,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.45, mean=0.03195, std=2.865, absmax=13.45 +2025-11-04 13:17:30,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=12.77, mean=0.07375, std=2.674, absmax=12.77 +2025-11-04 13:17:31,355 ERROR: Encountered non-finite generator loss at iter 20259; skipping update. +2025-11-04 13:17:31,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:31,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:31,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:31,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:31,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.56, mean=-0.199, std=3.052, absmax=13.56 +2025-11-04 13:17:31,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=11.52, mean=-0.1758, std=2.858, absmax=11.52 +2025-11-04 13:17:31,716 ERROR: Encountered non-finite generator loss at iter 20260; skipping update. +2025-11-04 13:17:31,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:31,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:31,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:31,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:31,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=10.1, mean=-0.2034, std=2.624, absmax=12.16 +2025-11-04 13:17:31,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=8.388, mean=-0.2085, std=2.426, absmax=11.52 +2025-11-04 13:17:32,075 ERROR: Encountered non-finite generator loss at iter 20261; skipping update. +2025-11-04 13:17:32,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,077 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:32,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.69, mean=-0.1291, std=2.867, absmax=12.33 +2025-11-04 13:17:32,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=9.639, mean=-0.1481, std=2.588, absmax=11.26 +2025-11-04 13:17:32,440 ERROR: Encountered non-finite generator loss at iter 20262; skipping update. +2025-11-04 13:17:32,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:32,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=10.7, mean=-0.2096, std=2.714, absmax=13.77 +2025-11-04 13:17:32,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.05, mean=-0.1854, std=2.561, absmax=12.42 +2025-11-04 13:17:32,802 ERROR: Encountered non-finite generator loss at iter 20263; skipping update. +2025-11-04 13:17:32,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:32,804 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:32,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.98, mean=-0.2471, std=3.183, absmax=12.98 +2025-11-04 13:17:32,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=12.11, mean=-0.2004, std=3.04, absmax=12.11 +2025-11-04 13:17:33,161 ERROR: Encountered non-finite generator loss at iter 20264; skipping update. +2025-11-04 13:17:33,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:33,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=13.34, mean=-0.03001, std=3.021, absmax=13.34 +2025-11-04 13:17:33,165 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.83, max=11.8, mean=-0.04375, std=2.759, absmax=11.8 +2025-11-04 13:17:33,521 ERROR: Encountered non-finite generator loss at iter 20265; skipping update. +2025-11-04 13:17:33,522 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:33,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.28, mean=-0.1199, std=3.158, absmax=14.28 +2025-11-04 13:17:33,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=12.03, mean=-0.1018, std=2.907, absmax=12.54 +2025-11-04 13:17:33,880 ERROR: Encountered non-finite generator loss at iter 20266; skipping update. +2025-11-04 13:17:33,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:33,883 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:33,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=13.56, mean=-0.2108, std=2.398, absmax=13.56 +2025-11-04 13:17:33,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=10.79, mean=-0.1812, std=2.423, absmax=10.98 +2025-11-04 13:17:34,240 ERROR: Encountered non-finite generator loss at iter 20267; skipping update. +2025-11-04 13:17:34,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:34,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.83, mean=-0.2665, std=3.146, absmax=13.72 +2025-11-04 13:17:34,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=11.15, mean=-0.2981, std=2.917, absmax=12.09 +2025-11-04 13:17:34,599 ERROR: Encountered non-finite generator loss at iter 20268; skipping update. +2025-11-04 13:17:34,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:34,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=10.45, mean=-0.2867, std=2.609, absmax=12.32 +2025-11-04 13:17:34,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=8.569, mean=-0.2879, std=2.569, absmax=10.75 +2025-11-04 13:17:34,959 ERROR: Encountered non-finite generator loss at iter 20269; skipping update. +2025-11-04 13:17:34,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:34,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:34,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.71, mean=0.04599, std=3.294, absmax=14.71 +2025-11-04 13:17:34,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=13.62, mean=0.0642, std=2.956, absmax=13.62 +2025-11-04 13:17:35,319 ERROR: Encountered non-finite generator loss at iter 20270; skipping update. +2025-11-04 13:17:35,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:35,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:35,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:35,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:35,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.17, mean=-0.2826, std=2.939, absmax=14.17 +2025-11-04 13:17:35,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.67, mean=-0.2816, std=2.692, absmax=11.67 +2025-11-04 13:17:35,679 ERROR: Encountered non-finite generator loss at iter 20271; skipping update. +2025-11-04 13:17:35,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:35,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:35,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:35,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:35,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=14.15, mean=-0.09586, std=3.605, absmax=14.49 +2025-11-04 13:17:35,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=12.8, mean=-0.1183, std=3.346, absmax=13.39 +2025-11-04 13:17:36,039 ERROR: Encountered non-finite generator loss at iter 20272; skipping update. +2025-11-04 13:17:36,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:36,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=15.67, mean=-0.005989, std=3.084, absmax=15.67 +2025-11-04 13:17:36,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=13.94, mean=0.02264, std=2.854, absmax=13.94 +2025-11-04 13:17:36,399 ERROR: Encountered non-finite generator loss at iter 20273; skipping update. +2025-11-04 13:17:36,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:36,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.88, mean=-0.0628, std=3.203, absmax=12.88 +2025-11-04 13:17:36,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=10.89, mean=-0.07352, std=2.973, absmax=11.49 +2025-11-04 13:17:36,759 ERROR: Encountered non-finite generator loss at iter 20274; skipping update. +2025-11-04 13:17:36,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:36,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:36,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.1, mean=-0.1488, std=3.101, absmax=13.27 +2025-11-04 13:17:36,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=13.38, mean=-0.1883, std=2.836, absmax=13.38 +2025-11-04 13:17:37,119 ERROR: Encountered non-finite generator loss at iter 20275; skipping update. +2025-11-04 13:17:37,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:37,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=14.13, mean=-0.1671, std=3.003, absmax=14.9 +2025-11-04 13:17:37,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=11.9, mean=-0.1629, std=2.871, absmax=12.59 +2025-11-04 13:17:37,479 ERROR: Encountered non-finite generator loss at iter 20276; skipping update. +2025-11-04 13:17:37,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:37,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.21, mean=-0.1736, std=2.761, absmax=12.21 +2025-11-04 13:17:37,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.42, mean=-0.1297, std=2.615, absmax=11.77 +2025-11-04 13:17:37,839 ERROR: Encountered non-finite generator loss at iter 20277; skipping update. +2025-11-04 13:17:37,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:37,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:37,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=15.96, mean=-0.09446, std=3.354, absmax=15.96 +2025-11-04 13:17:37,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=12.96, mean=-0.08027, std=3.156, absmax=13.69 +2025-11-04 13:17:38,199 ERROR: Encountered non-finite generator loss at iter 20278; skipping update. +2025-11-04 13:17:38,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:38,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.26, mean=-0.1973, std=3.431, absmax=14.26 +2025-11-04 13:17:38,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.69, mean=-0.2026, std=3.2, absmax=11.69 +2025-11-04 13:17:38,558 ERROR: Encountered non-finite generator loss at iter 20279; skipping update. +2025-11-04 13:17:38,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:38,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.63, mean=-0.2852, std=3.004, absmax=13.63 +2025-11-04 13:17:38,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=12.34, mean=-0.2689, std=2.771, absmax=12.34 +2025-11-04 13:17:38,919 ERROR: Encountered non-finite generator loss at iter 20280; skipping update. +2025-11-04 13:17:38,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:38,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:38,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=12.49, mean=-0.1748, std=3.322, absmax=14.62 +2025-11-04 13:17:38,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=10.21, mean=-0.1403, std=3.019, absmax=12.04 +2025-11-04 13:17:39,279 ERROR: Encountered non-finite generator loss at iter 20281; skipping update. +2025-11-04 13:17:39,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:39,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:39,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:39,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:39,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.21, mean=-0.2787, std=2.955, absmax=13.21 +2025-11-04 13:17:39,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=10.52, mean=-0.2505, std=2.732, absmax=12.01 +2025-11-04 13:17:39,639 ERROR: Encountered non-finite generator loss at iter 20282; skipping update. +2025-11-04 13:17:39,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:39,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:39,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:39,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:39,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=13.75, mean=-0.2277, std=2.718, absmax=14.47 +2025-11-04 13:17:39,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.87, max=9.759, mean=-0.2392, std=2.489, absmax=14.87 +2025-11-04 13:17:39,999 ERROR: Encountered non-finite generator loss at iter 20283; skipping update. +2025-11-04 13:17:40,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:40,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.46, mean=0.02514, std=3.338, absmax=13.12 +2025-11-04 13:17:40,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.19, mean=0.06247, std=3.14, absmax=12.19 +2025-11-04 13:17:40,359 ERROR: Encountered non-finite generator loss at iter 20284; skipping update. +2025-11-04 13:17:40,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:40,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.53, mean=-0.1728, std=2.817, absmax=12.54 +2025-11-04 13:17:40,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=10.93, mean=-0.1477, std=2.733, absmax=12.22 +2025-11-04 13:17:40,719 ERROR: Encountered non-finite generator loss at iter 20285; skipping update. +2025-11-04 13:17:40,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:40,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:40,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=11.22, mean=-0.2633, std=3.185, absmax=14.5 +2025-11-04 13:17:40,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=9.934, mean=-0.215, std=2.973, absmax=12.24 +2025-11-04 13:17:41,079 ERROR: Encountered non-finite generator loss at iter 20286; skipping update. +2025-11-04 13:17:41,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:41,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=10.62, mean=-0.2202, std=2.834, absmax=12.39 +2025-11-04 13:17:41,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=9.986, mean=-0.2369, std=2.627, absmax=12.38 +2025-11-04 13:17:41,439 ERROR: Encountered non-finite generator loss at iter 20287; skipping update. +2025-11-04 13:17:41,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:41,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.68, mean=-0.05319, std=2.791, absmax=12.32 +2025-11-04 13:17:41,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=10.18, mean=-0.05213, std=2.514, absmax=10.62 +2025-11-04 13:17:41,798 ERROR: Encountered non-finite generator loss at iter 20288; skipping update. +2025-11-04 13:17:41,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:41,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:41,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.95, max=14.46, mean=-0.02947, std=3.629, absmax=15.95 +2025-11-04 13:17:41,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.33, max=13.42, mean=-0.001935, std=3.319, absmax=14.33 +2025-11-04 13:17:42,158 ERROR: Encountered non-finite generator loss at iter 20289; skipping update. +2025-11-04 13:17:42,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:42,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.24, mean=-0.1296, std=3.175, absmax=13.24 +2025-11-04 13:17:42,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=12.61, mean=-0.1122, std=3.057, absmax=12.61 +2025-11-04 13:17:42,519 ERROR: Encountered non-finite generator loss at iter 20290; skipping update. +2025-11-04 13:17:42,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:42,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=17.57, mean=-0.09463, std=3.195, absmax=17.57 +2025-11-04 13:17:42,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=14.17, mean=-0.06325, std=3.041, absmax=14.17 +2025-11-04 13:17:42,878 ERROR: Encountered non-finite generator loss at iter 20291; skipping update. +2025-11-04 13:17:42,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:42,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:42,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=15.25, mean=-0.0439, std=3.409, absmax=15.25 +2025-11-04 13:17:42,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=14.02, mean=-0.0715, std=3.117, absmax=14.03 +2025-11-04 13:17:43,238 ERROR: Encountered non-finite generator loss at iter 20292; skipping update. +2025-11-04 13:17:43,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:43,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.91, mean=-0.1058, std=2.778, absmax=13.57 +2025-11-04 13:17:43,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.31, mean=-0.1238, std=2.523, absmax=11.31 +2025-11-04 13:17:43,599 ERROR: Encountered non-finite generator loss at iter 20293; skipping update. +2025-11-04 13:17:43,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:43,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.63, mean=-0.1091, std=3.116, absmax=12.63 +2025-11-04 13:17:43,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.44, mean=-0.07622, std=2.862, absmax=11.44 +2025-11-04 13:17:43,958 ERROR: Encountered non-finite generator loss at iter 20294; skipping update. +2025-11-04 13:17:43,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:43,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:43,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=14.2, mean=0.05149, std=3.075, absmax=14.69 +2025-11-04 13:17:43,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.14, max=13.14, mean=0.04496, std=2.844, absmax=13.14 +2025-11-04 13:17:44,318 ERROR: Encountered non-finite generator loss at iter 20295; skipping update. +2025-11-04 13:17:44,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:44,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:44,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:44,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:44,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.53, mean=-0.08252, std=3.206, absmax=13.64 +2025-11-04 13:17:44,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=12.74, mean=-0.06243, std=2.912, absmax=12.74 +2025-11-04 13:17:44,678 ERROR: Encountered non-finite generator loss at iter 20296; skipping update. +2025-11-04 13:17:44,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:44,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:44,679 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:44,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:44,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.3, mean=-0.1154, std=2.911, absmax=13.3 +2025-11-04 13:17:44,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=12.53, mean=-0.1132, std=2.736, absmax=12.53 +2025-11-04 13:17:45,037 ERROR: Encountered non-finite generator loss at iter 20297; skipping update. +2025-11-04 13:17:45,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:45,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.92, mean=-0.2719, std=2.958, absmax=12.92 +2025-11-04 13:17:45,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=11.1, mean=-0.2484, std=2.762, absmax=12.11 +2025-11-04 13:17:45,398 ERROR: Encountered non-finite generator loss at iter 20298; skipping update. +2025-11-04 13:17:45,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:45,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=15.38, mean=0.04287, std=3.207, absmax=15.38 +2025-11-04 13:17:45,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=14.21, mean=0.01631, std=2.956, absmax=14.21 +2025-11-04 13:17:45,758 ERROR: Encountered non-finite generator loss at iter 20299; skipping update. +2025-11-04 13:17:45,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:45,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:45,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.1, mean=-0.07569, std=3.254, absmax=14.26 +2025-11-04 13:17:45,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.72, max=12.7, mean=-0.05761, std=2.976, absmax=14.72 +2025-11-04 13:17:46,118 ERROR: Encountered non-finite generator loss at iter 20300; skipping update. +2025-11-04 13:17:46,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:46,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=12.54, mean=0.1907, std=3.017, absmax=14.2 +2025-11-04 13:17:46,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.91, mean=0.1276, std=2.771, absmax=11.6 +2025-11-04 13:17:46,122 INFO: [38..][epoch: 0, step: 20,300, lr:(2.000e-04,)] [eta: 1 day, 8:32:14, time (data): 0.360 (0.000)] +2025-11-04 13:17:46,478 ERROR: Encountered non-finite generator loss at iter 20301; skipping update. +2025-11-04 13:17:46,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:46,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.51, mean=-0.1589, std=2.792, absmax=12.96 +2025-11-04 13:17:46,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=10.41, mean=-0.1448, std=2.621, absmax=10.94 +2025-11-04 13:17:46,839 ERROR: Encountered non-finite generator loss at iter 20302; skipping update. +2025-11-04 13:17:46,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:46,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:46,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13.35, mean=-0.1067, std=2.732, absmax=13.35 +2025-11-04 13:17:46,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.92, mean=-0.1324, std=2.525, absmax=12.92 +2025-11-04 13:17:47,199 ERROR: Encountered non-finite generator loss at iter 20303; skipping update. +2025-11-04 13:17:47,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:47,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=17.8, mean=-0.2959, std=3.209, absmax=17.8 +2025-11-04 13:17:47,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=14.24, mean=-0.2404, std=3.06, absmax=14.24 +2025-11-04 13:17:47,559 ERROR: Encountered non-finite generator loss at iter 20304; skipping update. +2025-11-04 13:17:47,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:47,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12.88, mean=0.03791, std=3.378, absmax=12.88 +2025-11-04 13:17:47,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=13.05, mean=0.06474, std=3.212, absmax=13.05 +2025-11-04 13:17:47,919 ERROR: Encountered non-finite generator loss at iter 20305; skipping update. +2025-11-04 13:17:47,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:47,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:47,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.79, mean=-0.3081, std=3.632, absmax=13.21 +2025-11-04 13:17:47,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=10.41, mean=-0.3156, std=3.396, absmax=13.46 +2025-11-04 13:17:48,280 ERROR: Encountered non-finite generator loss at iter 20306; skipping update. +2025-11-04 13:17:48,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:48,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:48,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:48,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:48,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.95, mean=-0.02818, std=3.037, absmax=13.95 +2025-11-04 13:17:48,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=12.63, mean=-0.01028, std=2.792, absmax=12.63 +2025-11-04 13:17:48,640 ERROR: Encountered non-finite generator loss at iter 20307; skipping update. +2025-11-04 13:17:48,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:48,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:48,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:48,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:48,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=16.53, mean=-0.09362, std=3.199, absmax=16.53 +2025-11-04 13:17:48,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=14.87, mean=-0.1629, std=3.011, absmax=14.87 +2025-11-04 13:17:49,001 ERROR: Encountered non-finite generator loss at iter 20308; skipping update. +2025-11-04 13:17:49,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:49,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.52, mean=-0.2122, std=2.641, absmax=11.96 +2025-11-04 13:17:49,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.11, mean=-0.1911, std=2.496, absmax=11.66 +2025-11-04 13:17:49,361 ERROR: Encountered non-finite generator loss at iter 20309; skipping update. +2025-11-04 13:17:49,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:49,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.7, mean=-0.05045, std=3.425, absmax=14.7 +2025-11-04 13:17:49,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=12.3, mean=-0.0449, std=3.266, absmax=12.3 +2025-11-04 13:17:49,721 ERROR: Encountered non-finite generator loss at iter 20310; skipping update. +2025-11-04 13:17:49,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:49,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:49,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.87, mean=-0.2076, std=3.462, absmax=13.98 +2025-11-04 13:17:49,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=10.3, mean=-0.187, std=3.243, absmax=14.03 +2025-11-04 13:17:50,081 ERROR: Encountered non-finite generator loss at iter 20311; skipping update. +2025-11-04 13:17:50,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:50,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.33, mean=0.01169, std=3.676, absmax=13.86 +2025-11-04 13:17:50,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=12.41, mean=0.04968, std=3.475, absmax=13.19 +2025-11-04 13:17:50,441 ERROR: Encountered non-finite generator loss at iter 20312; skipping update. +2025-11-04 13:17:50,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:50,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.48, mean=-0.2753, std=2.937, absmax=12.87 +2025-11-04 13:17:50,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=9.707, mean=-0.246, std=2.737, absmax=12.03 +2025-11-04 13:17:50,801 ERROR: Encountered non-finite generator loss at iter 20313; skipping update. +2025-11-04 13:17:50,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:50,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:50,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.06, mean=-0.2231, std=2.829, absmax=13.06 +2025-11-04 13:17:50,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.42, mean=-0.2074, std=2.683, absmax=11.42 +2025-11-04 13:17:51,161 ERROR: Encountered non-finite generator loss at iter 20314; skipping update. +2025-11-04 13:17:51,162 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,163 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:51,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=11.59, mean=-0.2161, std=2.717, absmax=11.59 +2025-11-04 13:17:51,164 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=9.869, mean=-0.2027, std=2.544, absmax=10.84 +2025-11-04 13:17:51,521 ERROR: Encountered non-finite generator loss at iter 20315; skipping update. +2025-11-04 13:17:51,522 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,523 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:51,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.15, mean=-0.1043, std=2.8, absmax=14.15 +2025-11-04 13:17:51,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=11.63, mean=-0.1108, std=2.636, absmax=12.68 +2025-11-04 13:17:51,880 ERROR: Encountered non-finite generator loss at iter 20316; skipping update. +2025-11-04 13:17:51,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:51,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:51,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=17.34, mean=-0.1682, std=2.499, absmax=17.34 +2025-11-04 13:17:51,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=15.1, mean=-0.1411, std=2.468, absmax=15.1 +2025-11-04 13:17:52,240 ERROR: Encountered non-finite generator loss at iter 20317; skipping update. +2025-11-04 13:17:52,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:52,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.39, mean=-0.2425, std=3.248, absmax=12.94 +2025-11-04 13:17:52,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=11.21, mean=-0.2417, std=3.143, absmax=13.55 +2025-11-04 13:17:52,600 ERROR: Encountered non-finite generator loss at iter 20318; skipping update. +2025-11-04 13:17:52,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:52,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.69, mean=-0.1343, std=3.441, absmax=13.69 +2025-11-04 13:17:52,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=12.09, mean=-0.1554, std=3.173, absmax=12.09 +2025-11-04 13:17:52,960 ERROR: Encountered non-finite generator loss at iter 20319; skipping update. +2025-11-04 13:17:52,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:52,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:52,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.46, mean=-0.239, std=2.68, absmax=12.54 +2025-11-04 13:17:52,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=10.86, mean=-0.1852, std=2.501, absmax=12.06 +2025-11-04 13:17:53,320 ERROR: Encountered non-finite generator loss at iter 20320; skipping update. +2025-11-04 13:17:53,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:53,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:53,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:53,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:53,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=16.35, mean=-0.2851, std=3.259, absmax=16.35 +2025-11-04 13:17:53,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=14.12, mean=-0.2711, std=2.925, absmax=14.12 +2025-11-04 13:17:53,680 ERROR: Encountered non-finite generator loss at iter 20321; skipping update. +2025-11-04 13:17:53,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:53,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:53,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:53,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:53,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13, mean=-0.1598, std=3.166, absmax=13 +2025-11-04 13:17:53,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=10.93, mean=-0.1823, std=2.872, absmax=11.62 +2025-11-04 13:17:54,040 ERROR: Encountered non-finite generator loss at iter 20322; skipping update. +2025-11-04 13:17:54,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,042 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:54,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.95, mean=-0.09237, std=3.078, absmax=13.95 +2025-11-04 13:17:54,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=13.57, mean=-0.1092, std=2.929, absmax=13.57 +2025-11-04 13:17:54,400 ERROR: Encountered non-finite generator loss at iter 20323; skipping update. +2025-11-04 13:17:54,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,403 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:54,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.36, mean=-0.001026, std=2.607, absmax=12.36 +2025-11-04 13:17:54,404 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=11.8, mean=-0.01256, std=2.397, absmax=11.8 +2025-11-04 13:17:54,761 ERROR: Encountered non-finite generator loss at iter 20324; skipping update. +2025-11-04 13:17:54,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:54,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:54,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=16.38, mean=-0.2182, std=2.745, absmax=16.38 +2025-11-04 13:17:54,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=14.89, mean=-0.197, std=2.609, absmax=14.89 +2025-11-04 13:17:55,121 ERROR: Encountered non-finite generator loss at iter 20325; skipping update. +2025-11-04 13:17:55,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:55,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.53, mean=-0.06602, std=3.699, absmax=13.53 +2025-11-04 13:17:55,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.68, mean=-0.0566, std=3.522, absmax=12.68 +2025-11-04 13:17:55,480 ERROR: Encountered non-finite generator loss at iter 20326; skipping update. +2025-11-04 13:17:55,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:55,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=13.07, mean=-0.1461, std=2.956, absmax=13.07 +2025-11-04 13:17:55,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=14.36, mean=-0.1469, std=3.02, absmax=14.36 +2025-11-04 13:17:55,840 ERROR: Encountered non-finite generator loss at iter 20327; skipping update. +2025-11-04 13:17:55,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:55,842 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:55,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.6, mean=-0.01997, std=3.029, absmax=11.6 +2025-11-04 13:17:55,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=10.55, mean=-0.003414, std=2.924, absmax=11.21 +2025-11-04 13:17:56,200 ERROR: Encountered non-finite generator loss at iter 20328; skipping update. +2025-11-04 13:17:56,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:56,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=11.98, mean=-0.0344, std=2.873, absmax=11.98 +2025-11-04 13:17:56,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.86, mean=0.02912, std=2.747, absmax=11.86 +2025-11-04 13:17:56,559 ERROR: Encountered non-finite generator loss at iter 20329; skipping update. +2025-11-04 13:17:56,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:56,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.63, mean=-0.06076, std=2.894, absmax=13.63 +2025-11-04 13:17:56,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.89, mean=-0.03788, std=2.709, absmax=11.89 +2025-11-04 13:17:56,920 ERROR: Encountered non-finite generator loss at iter 20330; skipping update. +2025-11-04 13:17:56,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:56,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:56,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.53, mean=-0.268, std=3.324, absmax=14.53 +2025-11-04 13:17:56,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=9.943, mean=-0.244, std=3.097, absmax=11.77 +2025-11-04 13:17:57,280 ERROR: Encountered non-finite generator loss at iter 20331; skipping update. +2025-11-04 13:17:57,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:57,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:57,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:57,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:57,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.63, mean=-0.2505, std=2.513, absmax=11.63 +2025-11-04 13:17:57,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=10.83, mean=-0.2409, std=2.317, absmax=10.83 +2025-11-04 13:17:57,640 ERROR: Encountered non-finite generator loss at iter 20332; skipping update. +2025-11-04 13:17:57,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:57,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:57,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:57,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:57,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.02, max=12.53, mean=-0.2366, std=2.892, absmax=15.02 +2025-11-04 13:17:57,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=10.13, mean=-0.2725, std=2.78, absmax=13.12 +2025-11-04 13:17:58,000 ERROR: Encountered non-finite generator loss at iter 20333; skipping update. +2025-11-04 13:17:58,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:58,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=15.5, mean=-0.1878, std=2.951, absmax=15.5 +2025-11-04 13:17:58,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=13.1, mean=-0.1615, std=2.692, absmax=13.1 +2025-11-04 13:17:58,360 ERROR: Encountered non-finite generator loss at iter 20334; skipping update. +2025-11-04 13:17:58,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:58,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=11.73, mean=-0.2443, std=2.762, absmax=13.72 +2025-11-04 13:17:58,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=9.892, mean=-0.2385, std=2.524, absmax=12.34 +2025-11-04 13:17:58,720 ERROR: Encountered non-finite generator loss at iter 20335; skipping update. +2025-11-04 13:17:58,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:58,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:58,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=15.16, mean=0.1062, std=4.143, absmax=15.16 +2025-11-04 13:17:58,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=15.04, mean=0.06991, std=3.911, absmax=15.04 +2025-11-04 13:17:59,080 ERROR: Encountered non-finite generator loss at iter 20336; skipping update. +2025-11-04 13:17:59,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:59,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.8, max=13.1, mean=-0.15, std=2.802, absmax=17.8 +2025-11-04 13:17:59,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=11.64, mean=-0.1214, std=2.712, absmax=12.54 +2025-11-04 13:17:59,440 ERROR: Encountered non-finite generator loss at iter 20337; skipping update. +2025-11-04 13:17:59,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:59,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.44, mean=-0.1715, std=3.434, absmax=13.22 +2025-11-04 13:17:59,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.56, max=11.25, mean=-0.1801, std=3.174, absmax=13.56 +2025-11-04 13:17:59,803 ERROR: Encountered non-finite generator loss at iter 20338; skipping update. +2025-11-04 13:17:59,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:17:59,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:17:59,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=14.13, mean=-0.2211, std=3.382, absmax=14.45 +2025-11-04 13:17:59,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=12.82, mean=-0.2735, std=3.116, absmax=13.58 +2025-11-04 13:18:00,163 ERROR: Encountered non-finite generator loss at iter 20339; skipping update. +2025-11-04 13:18:00,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:00,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.55, mean=-0.2528, std=3.002, absmax=13.55 +2025-11-04 13:18:00,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=12.1, mean=-0.2526, std=2.834, absmax=12.1 +2025-11-04 13:18:00,523 ERROR: Encountered non-finite generator loss at iter 20340; skipping update. +2025-11-04 13:18:00,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:00,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.85, mean=0.06051, std=3.291, absmax=13.85 +2025-11-04 13:18:00,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=13.18, mean=0.09472, std=3.033, absmax=13.18 +2025-11-04 13:18:00,882 ERROR: Encountered non-finite generator loss at iter 20341; skipping update. +2025-11-04 13:18:00,883 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,884 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:00,884 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:00,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.36, mean=-0.1507, std=3.231, absmax=14.36 +2025-11-04 13:18:00,885 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=13.54, mean=-0.1192, std=2.952, absmax=13.54 +2025-11-04 13:18:01,242 ERROR: Encountered non-finite generator loss at iter 20342; skipping update. +2025-11-04 13:18:01,243 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,244 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,244 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:01,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.85, mean=0.2289, std=3.657, absmax=14.85 +2025-11-04 13:18:01,245 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=16.1, mean=0.2304, std=3.445, absmax=16.1 +2025-11-04 13:18:01,601 ERROR: Encountered non-finite generator loss at iter 20343; skipping update. +2025-11-04 13:18:01,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:01,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.2, mean=-0.3752, std=3.106, absmax=14.2 +2025-11-04 13:18:01,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.19, mean=-0.3514, std=2.834, absmax=12.19 +2025-11-04 13:18:01,960 ERROR: Encountered non-finite generator loss at iter 20344; skipping update. +2025-11-04 13:18:01,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:01,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:01,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.38, mean=0.003041, std=3.042, absmax=14.38 +2025-11-04 13:18:01,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.53, mean=0.008676, std=2.683, absmax=12.53 +2025-11-04 13:18:02,320 ERROR: Encountered non-finite generator loss at iter 20345; skipping update. +2025-11-04 13:18:02,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:02,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:02,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:02,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:02,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.96, mean=-0.1324, std=3.044, absmax=12.64 +2025-11-04 13:18:02,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=10.2, mean=-0.1261, std=2.826, absmax=11.66 +2025-11-04 13:18:02,680 ERROR: Encountered non-finite generator loss at iter 20346; skipping update. +2025-11-04 13:18:02,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:02,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:02,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:02,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:02,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=12.7, mean=-0.2904, std=2.514, absmax=14.96 +2025-11-04 13:18:02,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.63, mean=-0.2407, std=2.344, absmax=11.87 +2025-11-04 13:18:03,039 ERROR: Encountered non-finite generator loss at iter 20347; skipping update. +2025-11-04 13:18:03,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,042 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:03,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=12.55, mean=-0.08974, std=2.845, absmax=15.08 +2025-11-04 13:18:03,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.64, mean=-0.07663, std=2.678, absmax=11.18 +2025-11-04 13:18:03,400 ERROR: Encountered non-finite generator loss at iter 20348; skipping update. +2025-11-04 13:18:03,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:03,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.26, mean=-0.1531, std=2.995, absmax=14.26 +2025-11-04 13:18:03,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.52, mean=-0.1913, std=2.646, absmax=11.52 +2025-11-04 13:18:03,760 ERROR: Encountered non-finite generator loss at iter 20349; skipping update. +2025-11-04 13:18:03,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:03,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:03,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.52, mean=-0.139, std=2.668, absmax=12.52 +2025-11-04 13:18:03,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=10.78, mean=-0.1176, std=2.463, absmax=10.78 +2025-11-04 13:18:04,120 ERROR: Encountered non-finite generator loss at iter 20350; skipping update. +2025-11-04 13:18:04,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:04,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=14.55, mean=-0.2137, std=2.568, absmax=15.22 +2025-11-04 13:18:04,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=12.32, mean=-0.2015, std=2.416, absmax=12.32 +2025-11-04 13:18:04,480 ERROR: Encountered non-finite generator loss at iter 20351; skipping update. +2025-11-04 13:18:04,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:04,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.69, mean=-0.3091, std=3.103, absmax=13.54 +2025-11-04 13:18:04,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=10.64, mean=-0.2918, std=2.91, absmax=13.42 +2025-11-04 13:18:04,839 ERROR: Encountered non-finite generator loss at iter 20352; skipping update. +2025-11-04 13:18:04,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:04,842 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:04,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.92, mean=-0.03076, std=2.841, absmax=12.92 +2025-11-04 13:18:04,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=11.03, mean=0.01216, std=2.68, absmax=11.03 +2025-11-04 13:18:05,200 ERROR: Encountered non-finite generator loss at iter 20353; skipping update. +2025-11-04 13:18:05,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:05,202 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.47, mean=-0.08892, std=3.022, absmax=14.26 +2025-11-04 13:18:05,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=13.09, mean=-0.07819, std=2.816, absmax=13.09 +2025-11-04 13:18:05,559 ERROR: Encountered non-finite generator loss at iter 20354; skipping update. +2025-11-04 13:18:05,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:05,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=10.11, mean=-0.2821, std=2.771, absmax=11.94 +2025-11-04 13:18:05,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=9.136, mean=-0.296, std=2.611, absmax=11.69 +2025-11-04 13:18:05,920 ERROR: Encountered non-finite generator loss at iter 20355; skipping update. +2025-11-04 13:18:05,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:05,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:05,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=12.55, mean=-0.355, std=3.363, absmax=14.13 +2025-11-04 13:18:05,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=10.71, mean=-0.3093, std=3.155, absmax=12.23 +2025-11-04 13:18:06,279 ERROR: Encountered non-finite generator loss at iter 20356; skipping update. +2025-11-04 13:18:06,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:06,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:06,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:06,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:06,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=10.73, mean=-0.04905, std=2.683, absmax=11.72 +2025-11-04 13:18:06,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=10.18, mean=-0.03805, std=2.501, absmax=10.46 +2025-11-04 13:18:06,640 ERROR: Encountered non-finite generator loss at iter 20357; skipping update. +2025-11-04 13:18:06,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:06,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:06,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:06,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:06,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.44, max=11.69, mean=-0.09933, std=2.617, absmax=11.69 +2025-11-04 13:18:06,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.614, max=11.03, mean=-0.04235, std=2.453, absmax=11.03 +2025-11-04 13:18:07,000 ERROR: Encountered non-finite generator loss at iter 20358; skipping update. +2025-11-04 13:18:07,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:07,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.27, mean=-0.1608, std=2.771, absmax=13.27 +2025-11-04 13:18:07,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.65, mean=-0.1101, std=2.623, absmax=12.65 +2025-11-04 13:18:07,359 ERROR: Encountered non-finite generator loss at iter 20359; skipping update. +2025-11-04 13:18:07,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:07,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.42, mean=-0.1153, std=2.945, absmax=13.42 +2025-11-04 13:18:07,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=11.33, mean=-0.1034, std=2.715, absmax=11.33 +2025-11-04 13:18:07,720 ERROR: Encountered non-finite generator loss at iter 20360; skipping update. +2025-11-04 13:18:07,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:07,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:07,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=10.01, mean=-0.1814, std=2.592, absmax=11.06 +2025-11-04 13:18:07,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=8.681, mean=-0.148, std=2.433, absmax=10.84 +2025-11-04 13:18:08,080 ERROR: Encountered non-finite generator loss at iter 20361; skipping update. +2025-11-04 13:18:08,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:08,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=11.67, mean=-0.1955, std=2.415, absmax=11.67 +2025-11-04 13:18:08,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.831, max=11.05, mean=-0.1731, std=2.32, absmax=11.05 +2025-11-04 13:18:08,440 ERROR: Encountered non-finite generator loss at iter 20362; skipping update. +2025-11-04 13:18:08,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:08,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.26, mean=-0.2583, std=2.887, absmax=12.58 +2025-11-04 13:18:08,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=10.57, mean=-0.2559, std=2.797, absmax=12.66 +2025-11-04 13:18:08,800 ERROR: Encountered non-finite generator loss at iter 20363; skipping update. +2025-11-04 13:18:08,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:08,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:08,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=15.7, mean=-0.1522, std=2.856, absmax=15.7 +2025-11-04 13:18:08,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.36, mean=-0.1435, std=2.7, absmax=12.36 +2025-11-04 13:18:09,160 ERROR: Encountered non-finite generator loss at iter 20364; skipping update. +2025-11-04 13:18:09,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:09,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.6, mean=-0.2757, std=3.185, absmax=13.6 +2025-11-04 13:18:09,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=11.97, mean=-0.2159, std=2.946, absmax=12.73 +2025-11-04 13:18:09,520 ERROR: Encountered non-finite generator loss at iter 20365; skipping update. +2025-11-04 13:18:09,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:09,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=10.63, mean=-0.2048, std=2.746, absmax=11.72 +2025-11-04 13:18:09,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=8.907, mean=-0.1828, std=2.56, absmax=10.98 +2025-11-04 13:18:09,879 ERROR: Encountered non-finite generator loss at iter 20366; skipping update. +2025-11-04 13:18:09,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:09,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:09,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=16.95, mean=-0.04029, std=2.731, absmax=16.95 +2025-11-04 13:18:09,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=12.37, mean=-0.02667, std=2.636, absmax=12.37 +2025-11-04 13:18:10,239 ERROR: Encountered non-finite generator loss at iter 20367; skipping update. +2025-11-04 13:18:10,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:10,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=15.35, mean=0.1635, std=3.873, absmax=15.35 +2025-11-04 13:18:10,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=15.04, mean=0.1615, std=3.699, absmax=15.04 +2025-11-04 13:18:10,599 ERROR: Encountered non-finite generator loss at iter 20368; skipping update. +2025-11-04 13:18:10,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:10,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=13.28, mean=0.01365, std=2.89, absmax=13.84 +2025-11-04 13:18:10,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=12.69, mean=-0.01049, std=2.666, absmax=12.69 +2025-11-04 13:18:10,959 ERROR: Encountered non-finite generator loss at iter 20369; skipping update. +2025-11-04 13:18:10,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:10,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:10,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=15.07, mean=0.1997, std=3.698, absmax=15.48 +2025-11-04 13:18:10,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.86, max=13.66, mean=0.2067, std=3.388, absmax=14.86 +2025-11-04 13:18:11,319 ERROR: Encountered non-finite generator loss at iter 20370; skipping update. +2025-11-04 13:18:11,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:11,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:11,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:11,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:11,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=12.34, mean=-0.05684, std=2.647, absmax=12.34 +2025-11-04 13:18:11,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=10.44, mean=-0.06995, std=2.491, absmax=10.44 +2025-11-04 13:18:11,679 ERROR: Encountered non-finite generator loss at iter 20371; skipping update. +2025-11-04 13:18:11,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:11,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:11,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:11,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:11,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=14, mean=-0.1425, std=3.812, absmax=14.37 +2025-11-04 13:18:11,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=12.21, mean=-0.1273, std=3.506, absmax=12.65 +2025-11-04 13:18:12,039 ERROR: Encountered non-finite generator loss at iter 20372; skipping update. +2025-11-04 13:18:12,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:12,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.14, mean=-0.07316, std=2.66, absmax=12.07 +2025-11-04 13:18:12,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.19, mean=-0.0301, std=2.565, absmax=10.71 +2025-11-04 13:18:12,399 ERROR: Encountered non-finite generator loss at iter 20373; skipping update. +2025-11-04 13:18:12,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:12,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.68, mean=0.05925, std=3.406, absmax=13.68 +2025-11-04 13:18:12,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.69, mean=0.04534, std=3.126, absmax=12.69 +2025-11-04 13:18:12,759 ERROR: Encountered non-finite generator loss at iter 20374; skipping update. +2025-11-04 13:18:12,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:12,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:12,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=11.69, mean=-0.1726, std=2.653, absmax=11.69 +2025-11-04 13:18:12,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=10.58, mean=-0.1532, std=2.49, absmax=10.58 +2025-11-04 13:18:13,119 ERROR: Encountered non-finite generator loss at iter 20375; skipping update. +2025-11-04 13:18:13,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:13,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.44, max=13.82, mean=-0.1933, std=3.269, absmax=15.44 +2025-11-04 13:18:13,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.47, max=11.79, mean=-0.1771, std=3.038, absmax=15.47 +2025-11-04 13:18:13,478 ERROR: Encountered non-finite generator loss at iter 20376; skipping update. +2025-11-04 13:18:13,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:13,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.98, mean=-0.1035, std=2.655, absmax=12.97 +2025-11-04 13:18:13,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=9.916, mean=-0.04419, std=2.503, absmax=10.54 +2025-11-04 13:18:13,838 ERROR: Encountered non-finite generator loss at iter 20377; skipping update. +2025-11-04 13:18:13,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:13,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:13,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=15.92, mean=0.07524, std=3.611, absmax=15.92 +2025-11-04 13:18:13,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=15.16, mean=0.08273, std=3.337, absmax=15.16 +2025-11-04 13:18:14,198 ERROR: Encountered non-finite generator loss at iter 20378; skipping update. +2025-11-04 13:18:14,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:14,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=17.05, mean=0.1118, std=3.519, absmax=17.05 +2025-11-04 13:18:14,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=15.33, mean=0.08161, std=3.289, absmax=15.33 +2025-11-04 13:18:14,558 ERROR: Encountered non-finite generator loss at iter 20379; skipping update. +2025-11-04 13:18:14,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:14,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=10.77, mean=-0.173, std=2.786, absmax=13.64 +2025-11-04 13:18:14,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.59, max=10.27, mean=-0.2061, std=2.608, absmax=13.59 +2025-11-04 13:18:14,918 ERROR: Encountered non-finite generator loss at iter 20380; skipping update. +2025-11-04 13:18:14,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:14,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:14,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=19.62, mean=-0.2422, std=3.074, absmax=19.62 +2025-11-04 13:18:14,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=17.12, mean=-0.1992, std=2.89, absmax=17.12 +2025-11-04 13:18:15,278 ERROR: Encountered non-finite generator loss at iter 20381; skipping update. +2025-11-04 13:18:15,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:15,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:15,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:15,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:15,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=14.09, mean=-0.1431, std=2.778, absmax=14.09 +2025-11-04 13:18:15,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=12.7, mean=-0.09811, std=2.587, absmax=12.7 +2025-11-04 13:18:15,638 ERROR: Encountered non-finite generator loss at iter 20382; skipping update. +2025-11-04 13:18:15,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:15,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:15,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:15,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:15,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.79, mean=0.04636, std=3.548, absmax=14.79 +2025-11-04 13:18:15,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=13.91, mean=0.03563, std=3.296, absmax=13.91 +2025-11-04 13:18:15,998 ERROR: Encountered non-finite generator loss at iter 20383; skipping update. +2025-11-04 13:18:15,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:16,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.95, mean=-0.1718, std=3.074, absmax=12.76 +2025-11-04 13:18:16,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=10.36, mean=-0.155, std=2.826, absmax=12.22 +2025-11-04 13:18:16,358 ERROR: Encountered non-finite generator loss at iter 20384; skipping update. +2025-11-04 13:18:16,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:16,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=14.27, mean=-0.09368, std=3.175, absmax=14.27 +2025-11-04 13:18:16,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=12.49, mean=-0.05907, std=2.989, absmax=12.49 +2025-11-04 13:18:16,719 ERROR: Encountered non-finite generator loss at iter 20385; skipping update. +2025-11-04 13:18:16,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:16,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:16,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.37, mean=-0.19, std=3.178, absmax=12.37 +2025-11-04 13:18:16,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.44, mean=-0.1918, std=3.083, absmax=11.44 +2025-11-04 13:18:17,079 ERROR: Encountered non-finite generator loss at iter 20386; skipping update. +2025-11-04 13:18:17,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:17,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.56, mean=-0.2497, std=3.18, absmax=12.56 +2025-11-04 13:18:17,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=10.98, mean=-0.2256, std=2.909, absmax=11.8 +2025-11-04 13:18:17,439 ERROR: Encountered non-finite generator loss at iter 20387; skipping update. +2025-11-04 13:18:17,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:17,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.6, mean=-0.01975, std=3.286, absmax=13.06 +2025-11-04 13:18:17,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=11.97, mean=-0.008949, std=3.026, absmax=11.97 +2025-11-04 13:18:17,799 ERROR: Encountered non-finite generator loss at iter 20388; skipping update. +2025-11-04 13:18:17,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:17,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:17,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=11.59, mean=-0.2558, std=2.538, absmax=11.59 +2025-11-04 13:18:17,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.1, max=10.68, mean=-0.2288, std=2.409, absmax=10.68 +2025-11-04 13:18:18,159 ERROR: Encountered non-finite generator loss at iter 20389; skipping update. +2025-11-04 13:18:18,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:18,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=14.72, mean=-0.1308, std=3.035, absmax=14.72 +2025-11-04 13:18:18,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=13.11, mean=-0.1301, std=2.741, absmax=13.11 +2025-11-04 13:18:18,519 ERROR: Encountered non-finite generator loss at iter 20390; skipping update. +2025-11-04 13:18:18,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:18,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=16.97, mean=-0.09702, std=2.999, absmax=16.97 +2025-11-04 13:18:18,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=14.43, mean=-0.1081, std=2.82, absmax=14.43 +2025-11-04 13:18:18,879 ERROR: Encountered non-finite generator loss at iter 20391; skipping update. +2025-11-04 13:18:18,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:18,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:18,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.07, mean=-0.1729, std=2.991, absmax=14.61 +2025-11-04 13:18:18,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=10.73, mean=-0.1859, std=2.672, absmax=12.7 +2025-11-04 13:18:19,238 ERROR: Encountered non-finite generator loss at iter 20392; skipping update. +2025-11-04 13:18:19,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:19,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=11.87, mean=-0.1303, std=3.19, absmax=14.03 +2025-11-04 13:18:19,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=11.14, mean=-0.1492, std=2.936, absmax=11.14 +2025-11-04 13:18:19,599 ERROR: Encountered non-finite generator loss at iter 20393; skipping update. +2025-11-04 13:18:19,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:19,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.49, mean=-0.2748, std=2.998, absmax=12.5 +2025-11-04 13:18:19,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=10.18, mean=-0.2879, std=2.884, absmax=12.79 +2025-11-04 13:18:19,958 ERROR: Encountered non-finite generator loss at iter 20394; skipping update. +2025-11-04 13:18:19,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:19,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:19,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=12.54, mean=0.0111, std=3.054, absmax=12.54 +2025-11-04 13:18:19,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.43, mean=0.02664, std=2.926, absmax=12.43 +2025-11-04 13:18:20,318 ERROR: Encountered non-finite generator loss at iter 20395; skipping update. +2025-11-04 13:18:20,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:20,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:20,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:20,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:20,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.51, mean=0.02205, std=3.09, absmax=13.33 +2025-11-04 13:18:20,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=10.63, mean=-0.0004778, std=2.803, absmax=11.66 +2025-11-04 13:18:20,678 ERROR: Encountered non-finite generator loss at iter 20396; skipping update. +2025-11-04 13:18:20,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:20,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:20,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:20,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:20,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.11, mean=-0.09099, std=3.21, absmax=14.11 +2025-11-04 13:18:20,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=13.63, mean=-0.02251, std=3.136, absmax=13.63 +2025-11-04 13:18:21,038 ERROR: Encountered non-finite generator loss at iter 20397; skipping update. +2025-11-04 13:18:21,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:21,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.43, mean=-0.3148, std=3.165, absmax=13.43 +2025-11-04 13:18:21,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=13.01, mean=-0.2933, std=2.99, absmax=13.01 +2025-11-04 13:18:21,398 ERROR: Encountered non-finite generator loss at iter 20398; skipping update. +2025-11-04 13:18:21,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:21,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=10.62, mean=-0.02967, std=2.776, absmax=12.44 +2025-11-04 13:18:21,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=9.389, mean=-0.01825, std=2.587, absmax=10.11 +2025-11-04 13:18:21,757 ERROR: Encountered non-finite generator loss at iter 20399; skipping update. +2025-11-04 13:18:21,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:21,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:21,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.44, mean=-0.2651, std=2.686, absmax=13.44 +2025-11-04 13:18:21,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=11.18, mean=-0.2513, std=2.503, absmax=11.18 +2025-11-04 13:18:22,117 ERROR: Encountered non-finite generator loss at iter 20400; skipping update. +2025-11-04 13:18:22,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:22,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=12.89, mean=-0.1738, std=3.372, absmax=14.13 +2025-11-04 13:18:22,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.32, max=11.03, mean=-0.2047, std=3.171, absmax=14.32 +2025-11-04 13:18:22,121 INFO: [38..][epoch: 0, step: 20,400, lr:(2.000e-04,)] [eta: 1 day, 8:23:53, time (data): 0.360 (0.000)] +2025-11-04 13:18:22,478 ERROR: Encountered non-finite generator loss at iter 20401; skipping update. +2025-11-04 13:18:22,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:22,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.06, mean=-0.02873, std=3.015, absmax=12.06 +2025-11-04 13:18:22,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=12.19, mean=-0.01196, std=2.932, absmax=12.19 +2025-11-04 13:18:22,838 ERROR: Encountered non-finite generator loss at iter 20402; skipping update. +2025-11-04 13:18:22,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:22,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:22,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=13.98, mean=-0.1019, std=2.834, absmax=13.98 +2025-11-04 13:18:22,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.79, mean=-0.1237, std=2.628, absmax=11.18 +2025-11-04 13:18:23,198 ERROR: Encountered non-finite generator loss at iter 20403; skipping update. +2025-11-04 13:18:23,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:23,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.86, mean=-0.2478, std=2.909, absmax=13.86 +2025-11-04 13:18:23,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=12.79, mean=-0.2193, std=2.824, absmax=12.79 +2025-11-04 13:18:23,557 ERROR: Encountered non-finite generator loss at iter 20404; skipping update. +2025-11-04 13:18:23,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:23,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.69, mean=-0.2043, std=2.992, absmax=13.79 +2025-11-04 13:18:23,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.46, mean=-0.1794, std=2.733, absmax=12.22 +2025-11-04 13:18:23,917 ERROR: Encountered non-finite generator loss at iter 20405; skipping update. +2025-11-04 13:18:23,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:23,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:23,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=15.1, mean=0.1859, std=3.686, absmax=15.1 +2025-11-04 13:18:23,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=14.27, mean=0.1654, std=3.458, absmax=14.27 +2025-11-04 13:18:24,277 ERROR: Encountered non-finite generator loss at iter 20406; skipping update. +2025-11-04 13:18:24,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:24,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=11.35, mean=-0.1526, std=2.643, absmax=11.71 +2025-11-04 13:18:24,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=10.1, mean=-0.1203, std=2.457, absmax=10.79 +2025-11-04 13:18:24,637 ERROR: Encountered non-finite generator loss at iter 20407; skipping update. +2025-11-04 13:18:24,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:24,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.11, mean=-0.141, std=2.475, absmax=12.25 +2025-11-04 13:18:24,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=10.23, mean=-0.07801, std=2.331, absmax=12.1 +2025-11-04 13:18:24,997 ERROR: Encountered non-finite generator loss at iter 20408; skipping update. +2025-11-04 13:18:24,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:24,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:25,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=13.19, mean=-0.1583, std=2.57, absmax=13.19 +2025-11-04 13:18:25,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.16, mean=-0.1329, std=2.455, absmax=12.16 +2025-11-04 13:18:25,356 ERROR: Encountered non-finite generator loss at iter 20409; skipping update. +2025-11-04 13:18:25,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:25,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:25,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:25,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:25,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.48, mean=-0.2237, std=2.885, absmax=12.48 +2025-11-04 13:18:25,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.59, mean=-0.2216, std=2.626, absmax=11.77 +2025-11-04 13:18:25,716 ERROR: Encountered non-finite generator loss at iter 20410; skipping update. +2025-11-04 13:18:25,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:25,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:25,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:25,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:25,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.97, mean=-0.1455, std=2.839, absmax=12.11 +2025-11-04 13:18:25,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.62, mean=-0.115, std=2.749, absmax=11.28 +2025-11-04 13:18:26,076 ERROR: Encountered non-finite generator loss at iter 20411; skipping update. +2025-11-04 13:18:26,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:26,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=12.14, mean=-0.2816, std=2.914, absmax=12.14 +2025-11-04 13:18:26,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=11.38, mean=-0.2843, std=2.769, absmax=11.38 +2025-11-04 13:18:26,436 ERROR: Encountered non-finite generator loss at iter 20412; skipping update. +2025-11-04 13:18:26,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,437 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:26,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.17, max=12.94, mean=-0.2573, std=2.671, absmax=12.94 +2025-11-04 13:18:26,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.612, max=10.17, mean=-0.279, std=2.49, absmax=10.17 +2025-11-04 13:18:26,796 ERROR: Encountered non-finite generator loss at iter 20413; skipping update. +2025-11-04 13:18:26,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:26,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:26,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.07, mean=-0.07295, std=3.501, absmax=14.07 +2025-11-04 13:18:26,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.14, mean=-0.09852, std=3.299, absmax=12.14 +2025-11-04 13:18:27,155 ERROR: Encountered non-finite generator loss at iter 20414; skipping update. +2025-11-04 13:18:27,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:27,158 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=13.56, mean=-0.1204, std=2.77, absmax=13.56 +2025-11-04 13:18:27,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=12.78, mean=-0.1142, std=2.484, absmax=12.78 +2025-11-04 13:18:27,515 ERROR: Encountered non-finite generator loss at iter 20415; skipping update. +2025-11-04 13:18:27,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:27,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=14.68, mean=-0.149, std=2.642, absmax=14.68 +2025-11-04 13:18:27,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=11.97, mean=-0.1273, std=2.443, absmax=11.97 +2025-11-04 13:18:27,877 ERROR: Encountered non-finite generator loss at iter 20416; skipping update. +2025-11-04 13:18:27,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:27,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:27,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.05, mean=0.03841, std=3.187, absmax=14.04 +2025-11-04 13:18:27,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.56, max=12.33, mean=0.04784, std=2.926, absmax=13.56 +2025-11-04 13:18:28,238 ERROR: Encountered non-finite generator loss at iter 20417; skipping update. +2025-11-04 13:18:28,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:28,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.72, mean=0.07654, std=3.386, absmax=13.72 +2025-11-04 13:18:28,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.14, mean=0.07403, std=3.101, absmax=12.14 +2025-11-04 13:18:28,598 ERROR: Encountered non-finite generator loss at iter 20418; skipping update. +2025-11-04 13:18:28,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,600 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:28,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=11.66, mean=-0.2607, std=2.566, absmax=14.76 +2025-11-04 13:18:28,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=10.53, mean=-0.2657, std=2.432, absmax=11.96 +2025-11-04 13:18:28,958 ERROR: Encountered non-finite generator loss at iter 20419; skipping update. +2025-11-04 13:18:28,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:28,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:28,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.31, mean=-0.131, std=2.763, absmax=13.14 +2025-11-04 13:18:28,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.69, mean=-0.09701, std=2.612, absmax=11.76 +2025-11-04 13:18:29,318 ERROR: Encountered non-finite generator loss at iter 20420; skipping update. +2025-11-04 13:18:29,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:29,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:29,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:29,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:29,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=10.56, mean=-0.2643, std=3.037, absmax=12.75 +2025-11-04 13:18:29,321 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=10.57, mean=-0.2851, std=2.884, absmax=12.02 +2025-11-04 13:18:29,678 ERROR: Encountered non-finite generator loss at iter 20421; skipping update. +2025-11-04 13:18:29,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:29,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:29,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:29,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:29,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.45, mean=-0.1764, std=2.887, absmax=12.45 +2025-11-04 13:18:29,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.33, mean=-0.1511, std=2.712, absmax=11.26 +2025-11-04 13:18:30,038 ERROR: Encountered non-finite generator loss at iter 20422; skipping update. +2025-11-04 13:18:30,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:30,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=15.11, mean=0.1813, std=3.583, absmax=15.11 +2025-11-04 13:18:30,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=15.41, mean=0.1965, std=3.347, absmax=15.41 +2025-11-04 13:18:30,399 ERROR: Encountered non-finite generator loss at iter 20423; skipping update. +2025-11-04 13:18:30,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:30,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.76, mean=-0.07951, std=2.837, absmax=13.5 +2025-11-04 13:18:30,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.57, mean=-0.07344, std=2.679, absmax=12.44 +2025-11-04 13:18:30,759 ERROR: Encountered non-finite generator loss at iter 20424; skipping update. +2025-11-04 13:18:30,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:30,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:30,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.19, mean=0.01099, std=2.952, absmax=11.87 +2025-11-04 13:18:30,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=11.22, mean=0.01667, std=2.718, absmax=11.22 +2025-11-04 13:18:31,120 ERROR: Encountered non-finite generator loss at iter 20425; skipping update. +2025-11-04 13:18:31,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:31,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=10.4, mean=-0.2738, std=2.264, absmax=13.89 +2025-11-04 13:18:31,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=9.218, mean=-0.2872, std=2.186, absmax=12.03 +2025-11-04 13:18:31,480 ERROR: Encountered non-finite generator loss at iter 20426; skipping update. +2025-11-04 13:18:31,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:31,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.02, mean=-0.2014, std=2.89, absmax=14.02 +2025-11-04 13:18:31,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=12.19, mean=-0.2185, std=2.567, absmax=12.56 +2025-11-04 13:18:31,840 ERROR: Encountered non-finite generator loss at iter 20427; skipping update. +2025-11-04 13:18:31,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:31,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:31,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.27, mean=0.08515, std=3.529, absmax=13.27 +2025-11-04 13:18:31,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=12.82, mean=0.07944, std=3.287, absmax=12.82 +2025-11-04 13:18:32,200 ERROR: Encountered non-finite generator loss at iter 20428; skipping update. +2025-11-04 13:18:32,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:32,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.34, mean=-0.232, std=2.925, absmax=12.34 +2025-11-04 13:18:32,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.48, mean=-0.2385, std=2.697, absmax=11.48 +2025-11-04 13:18:32,560 ERROR: Encountered non-finite generator loss at iter 20429; skipping update. +2025-11-04 13:18:32,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:32,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=11.64, mean=-0.2144, std=3.2, absmax=14.21 +2025-11-04 13:18:32,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.01, mean=-0.1721, std=3.035, absmax=11.79 +2025-11-04 13:18:32,920 ERROR: Encountered non-finite generator loss at iter 20430; skipping update. +2025-11-04 13:18:32,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:32,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:32,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.82, mean=-0.141, std=3.049, absmax=14.23 +2025-11-04 13:18:32,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.5, max=11.54, mean=-0.1346, std=2.855, absmax=15.5 +2025-11-04 13:18:33,280 ERROR: Encountered non-finite generator loss at iter 20431; skipping update. +2025-11-04 13:18:33,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:33,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:33,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:33,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:33,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.57, mean=-0.1992, std=3.3, absmax=13.57 +2025-11-04 13:18:33,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=12.07, mean=-0.1449, std=3.123, absmax=12.07 +2025-11-04 13:18:33,640 ERROR: Encountered non-finite generator loss at iter 20432; skipping update. +2025-11-04 13:18:33,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:33,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:33,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:33,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:33,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.21, mean=-0.2235, std=2.724, absmax=13.38 +2025-11-04 13:18:33,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=11.08, mean=-0.194, std=2.451, absmax=11.08 +2025-11-04 13:18:34,001 ERROR: Encountered non-finite generator loss at iter 20433; skipping update. +2025-11-04 13:18:34,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:34,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=15.38, mean=0.0606, std=3.517, absmax=15.38 +2025-11-04 13:18:34,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=15.37, mean=0.04493, std=3.38, absmax=15.37 +2025-11-04 13:18:34,361 ERROR: Encountered non-finite generator loss at iter 20434; skipping update. +2025-11-04 13:18:34,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:34,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=13.52, mean=-0.05147, std=3.026, absmax=14.43 +2025-11-04 13:18:34,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=12.3, mean=-0.05395, std=2.807, absmax=13.39 +2025-11-04 13:18:34,721 ERROR: Encountered non-finite generator loss at iter 20435; skipping update. +2025-11-04 13:18:34,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:34,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:34,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=10.77, mean=-0.1808, std=2.704, absmax=14.36 +2025-11-04 13:18:34,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.21, max=10.39, mean=-0.1986, std=2.494, absmax=13.21 +2025-11-04 13:18:35,081 ERROR: Encountered non-finite generator loss at iter 20436; skipping update. +2025-11-04 13:18:35,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:35,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10.82, mean=-0.1813, std=2.327, absmax=12.09 +2025-11-04 13:18:35,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=8.765, mean=-0.1686, std=2.15, absmax=11.23 +2025-11-04 13:18:35,441 ERROR: Encountered non-finite generator loss at iter 20437; skipping update. +2025-11-04 13:18:35,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:35,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=10.31, mean=-0.3525, std=2.848, absmax=13.55 +2025-11-04 13:18:35,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=9.055, mean=-0.3612, std=2.814, absmax=12.83 +2025-11-04 13:18:35,800 ERROR: Encountered non-finite generator loss at iter 20438; skipping update. +2025-11-04 13:18:35,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:35,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:35,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=13.09, mean=-0.3359, std=2.795, absmax=13.09 +2025-11-04 13:18:35,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=12.09, mean=-0.2972, std=2.632, absmax=12.09 +2025-11-04 13:18:36,160 ERROR: Encountered non-finite generator loss at iter 20439; skipping update. +2025-11-04 13:18:36,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,163 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:36,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.24, mean=-0.09568, std=2.892, absmax=12.24 +2025-11-04 13:18:36,164 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=10.47, mean=-0.09313, std=2.711, absmax=11 +2025-11-04 13:18:36,520 ERROR: Encountered non-finite generator loss at iter 20440; skipping update. +2025-11-04 13:18:36,522 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:36,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.48, mean=-0.1064, std=3.039, absmax=12.48 +2025-11-04 13:18:36,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=11.77, mean=-0.1279, std=2.763, absmax=11.77 +2025-11-04 13:18:36,880 ERROR: Encountered non-finite generator loss at iter 20441; skipping update. +2025-11-04 13:18:36,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:36,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:36,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=16.42, mean=-0.2083, std=3.435, absmax=16.42 +2025-11-04 13:18:36,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=15.41, mean=-0.1708, std=3.321, absmax=15.41 +2025-11-04 13:18:37,240 ERROR: Encountered non-finite generator loss at iter 20442; skipping update. +2025-11-04 13:18:37,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:37,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=12.28, mean=-0.1593, std=2.656, absmax=12.28 +2025-11-04 13:18:37,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=11.23, mean=-0.181, std=2.435, absmax=11.23 +2025-11-04 13:18:37,600 ERROR: Encountered non-finite generator loss at iter 20443; skipping update. +2025-11-04 13:18:37,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:37,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.96, mean=-0.01604, std=2.918, absmax=11.96 +2025-11-04 13:18:37,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=10.12, mean=0.01948, std=2.686, absmax=10.4 +2025-11-04 13:18:37,961 ERROR: Encountered non-finite generator loss at iter 20444; skipping update. +2025-11-04 13:18:37,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:37,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:37,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.48, mean=-0.1362, std=2.943, absmax=13.05 +2025-11-04 13:18:37,965 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=11.19, mean=-0.1364, std=2.798, absmax=12.36 +2025-11-04 13:18:38,322 ERROR: Encountered non-finite generator loss at iter 20445; skipping update. +2025-11-04 13:18:38,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:38,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:38,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:38,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:38,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=13.55, mean=-0.1076, std=3.604, absmax=13.55 +2025-11-04 13:18:38,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=11.77, mean=-0.1694, std=3.269, absmax=12.32 +2025-11-04 13:18:38,680 ERROR: Encountered non-finite generator loss at iter 20446; skipping update. +2025-11-04 13:18:38,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:38,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:38,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:38,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:38,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=12.5, mean=-0.3589, std=3.378, absmax=13.64 +2025-11-04 13:18:38,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=9.714, mean=-0.4001, std=3.219, absmax=13.12 +2025-11-04 13:18:39,040 ERROR: Encountered non-finite generator loss at iter 20447; skipping update. +2025-11-04 13:18:39,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,041 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,042 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:39,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=16.63, mean=-0.296, std=2.92, absmax=16.63 +2025-11-04 13:18:39,043 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=15.34, mean=-0.2822, std=2.728, absmax=15.34 +2025-11-04 13:18:39,399 ERROR: Encountered non-finite generator loss at iter 20448; skipping update. +2025-11-04 13:18:39,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:39,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.67, mean=-0.1036, std=3.335, absmax=15.67 +2025-11-04 13:18:39,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=14.19, mean=-0.1278, std=3.115, absmax=14.19 +2025-11-04 13:18:39,758 ERROR: Encountered non-finite generator loss at iter 20449; skipping update. +2025-11-04 13:18:39,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:39,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:39,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=10.27, mean=-0.4318, std=3.087, absmax=14.8 +2025-11-04 13:18:39,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=9.75, mean=-0.3575, std=2.945, absmax=12.16 +2025-11-04 13:18:40,119 ERROR: Encountered non-finite generator loss at iter 20450; skipping update. +2025-11-04 13:18:40,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:40,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.43, max=10.49, mean=-0.1512, std=2.416, absmax=10.49 +2025-11-04 13:18:40,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.126, max=9.959, mean=-0.1666, std=2.291, absmax=9.959 +2025-11-04 13:18:40,478 ERROR: Encountered non-finite generator loss at iter 20451; skipping update. +2025-11-04 13:18:40,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:40,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=12.34, mean=-0.2727, std=3.28, absmax=14.53 +2025-11-04 13:18:40,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=12.2, mean=-0.2745, std=3.056, absmax=12.2 +2025-11-04 13:18:40,838 ERROR: Encountered non-finite generator loss at iter 20452; skipping update. +2025-11-04 13:18:40,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:40,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:40,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.99, mean=-0.1501, std=2.56, absmax=12.99 +2025-11-04 13:18:40,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=11.11, mean=-0.1318, std=2.411, absmax=13.55 +2025-11-04 13:18:41,198 ERROR: Encountered non-finite generator loss at iter 20453; skipping update. +2025-11-04 13:18:41,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:41,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.45, mean=-0.1879, std=2.939, absmax=13.83 +2025-11-04 13:18:41,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=12.25, mean=-0.1603, std=2.692, absmax=12.25 +2025-11-04 13:18:41,558 ERROR: Encountered non-finite generator loss at iter 20454; skipping update. +2025-11-04 13:18:41,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:41,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=11.87, mean=-0.1196, std=3.087, absmax=14.03 +2025-11-04 13:18:41,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=10.92, mean=-0.1484, std=2.816, absmax=10.92 +2025-11-04 13:18:41,917 ERROR: Encountered non-finite generator loss at iter 20455; skipping update. +2025-11-04 13:18:41,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:41,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:41,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=11.37, mean=-0.02561, std=3.148, absmax=13.31 +2025-11-04 13:18:41,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=10.63, mean=-0.03929, std=2.985, absmax=12.99 +2025-11-04 13:18:42,277 ERROR: Encountered non-finite generator loss at iter 20456; skipping update. +2025-11-04 13:18:42,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:42,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:42,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:42,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:42,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.71, mean=-0.1904, std=3.468, absmax=13.7 +2025-11-04 13:18:42,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=12.2, mean=-0.2213, std=3.268, absmax=13.94 +2025-11-04 13:18:42,638 ERROR: Encountered non-finite generator loss at iter 20457; skipping update. +2025-11-04 13:18:42,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:42,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:42,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:42,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:42,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.69, mean=-0.2256, std=2.898, absmax=14.69 +2025-11-04 13:18:42,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=12.41, mean=-0.2276, std=2.626, absmax=12.41 +2025-11-04 13:18:42,998 ERROR: Encountered non-finite generator loss at iter 20458; skipping update. +2025-11-04 13:18:42,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:43,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.55, mean=-0.2236, std=3.08, absmax=14.55 +2025-11-04 13:18:43,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.33, mean=-0.2556, std=2.837, absmax=12.34 +2025-11-04 13:18:43,359 ERROR: Encountered non-finite generator loss at iter 20459; skipping update. +2025-11-04 13:18:43,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:43,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.66, mean=-0.1888, std=2.596, absmax=11.92 +2025-11-04 13:18:43,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.96, mean=-0.1835, std=2.415, absmax=11.34 +2025-11-04 13:18:43,719 ERROR: Encountered non-finite generator loss at iter 20460; skipping update. +2025-11-04 13:18:43,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:43,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:43,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=10.13, mean=-0.1227, std=2.581, absmax=12.21 +2025-11-04 13:18:43,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=8.925, mean=-0.1415, std=2.463, absmax=11.73 +2025-11-04 13:18:44,079 ERROR: Encountered non-finite generator loss at iter 20461; skipping update. +2025-11-04 13:18:44,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:44,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10.78, mean=-0.14, std=2.899, absmax=12.09 +2025-11-04 13:18:44,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=10.65, mean=-0.128, std=2.635, absmax=12 +2025-11-04 13:18:44,439 ERROR: Encountered non-finite generator loss at iter 20462; skipping update. +2025-11-04 13:18:44,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:44,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.25, mean=-0.183, std=2.824, absmax=14.25 +2025-11-04 13:18:44,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=12.69, mean=-0.1417, std=2.647, absmax=12.71 +2025-11-04 13:18:44,800 ERROR: Encountered non-finite generator loss at iter 20463; skipping update. +2025-11-04 13:18:44,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:44,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:44,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.46, mean=-0.2102, std=2.428, absmax=11.46 +2025-11-04 13:18:44,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=9.425, mean=-0.2437, std=2.284, absmax=10.43 +2025-11-04 13:18:45,160 ERROR: Encountered non-finite generator loss at iter 20464; skipping update. +2025-11-04 13:18:45,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:45,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=15.2, mean=-0.2149, std=3.296, absmax=15.2 +2025-11-04 13:18:45,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.16, mean=-0.206, std=3.1, absmax=12.16 +2025-11-04 13:18:45,520 ERROR: Encountered non-finite generator loss at iter 20465; skipping update. +2025-11-04 13:18:45,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:45,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.49, mean=-0.02657, std=3.29, absmax=14.12 +2025-11-04 13:18:45,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.31, mean=-0.03616, std=3.11, absmax=12.31 +2025-11-04 13:18:45,881 ERROR: Encountered non-finite generator loss at iter 20466; skipping update. +2025-11-04 13:18:45,882 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,883 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:45,883 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:45,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=16.41, mean=0.03294, std=3.172, absmax=16.41 +2025-11-04 13:18:45,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.85, mean=0.0362, std=2.915, absmax=12.85 +2025-11-04 13:18:46,241 ERROR: Encountered non-finite generator loss at iter 20467; skipping update. +2025-11-04 13:18:46,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:46,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.47, mean=0.04002, std=3.155, absmax=13.47 +2025-11-04 13:18:46,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.69, mean=0.03208, std=3.02, absmax=12.69 +2025-11-04 13:18:46,601 ERROR: Encountered non-finite generator loss at iter 20468; skipping update. +2025-11-04 13:18:46,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:46,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=19.2, mean=-0.007425, std=3.36, absmax=19.2 +2025-11-04 13:18:46,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=16.71, mean=0.02793, std=3.121, absmax=16.71 +2025-11-04 13:18:46,961 ERROR: Encountered non-finite generator loss at iter 20469; skipping update. +2025-11-04 13:18:46,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:46,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:46,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=14.07, mean=-0.1486, std=2.603, absmax=14.07 +2025-11-04 13:18:46,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.898, max=11.26, mean=-0.1474, std=2.396, absmax=11.26 +2025-11-04 13:18:47,321 ERROR: Encountered non-finite generator loss at iter 20470; skipping update. +2025-11-04 13:18:47,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:47,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:47,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:47,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:47,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.82, mean=-0.1157, std=2.696, absmax=12.82 +2025-11-04 13:18:47,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.92, max=11.93, mean=-0.1256, std=2.394, absmax=11.93 +2025-11-04 13:18:47,681 ERROR: Encountered non-finite generator loss at iter 20471; skipping update. +2025-11-04 13:18:47,682 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:47,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:47,683 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:47,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:47,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.68, mean=-0.143, std=3.009, absmax=12.68 +2025-11-04 13:18:47,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=11.67, mean=-0.1232, std=2.728, absmax=11.67 +2025-11-04 13:18:48,041 ERROR: Encountered non-finite generator loss at iter 20472; skipping update. +2025-11-04 13:18:48,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:48,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.92, mean=-0.06464, std=3.077, absmax=11.92 +2025-11-04 13:18:48,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=10.27, mean=-0.07192, std=2.86, absmax=12.89 +2025-11-04 13:18:48,401 ERROR: Encountered non-finite generator loss at iter 20473; skipping update. +2025-11-04 13:18:48,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:48,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=16.96, mean=-0.2978, std=2.995, absmax=16.96 +2025-11-04 13:18:48,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=15.42, mean=-0.2783, std=2.848, absmax=15.42 +2025-11-04 13:18:48,761 ERROR: Encountered non-finite generator loss at iter 20474; skipping update. +2025-11-04 13:18:48,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:48,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:48,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=15.07, mean=-0.1063, std=3.922, absmax=15.59 +2025-11-04 13:18:48,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.59, max=13.69, mean=-0.09867, std=3.727, absmax=13.69 +2025-11-04 13:18:49,121 ERROR: Encountered non-finite generator loss at iter 20475; skipping update. +2025-11-04 13:18:49,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:49,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=14.6, mean=-0.07086, std=3.231, absmax=14.6 +2025-11-04 13:18:49,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.96, mean=-0.0974, std=2.978, absmax=12.96 +2025-11-04 13:18:49,481 ERROR: Encountered non-finite generator loss at iter 20476; skipping update. +2025-11-04 13:18:49,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:49,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=9.843, mean=-0.2578, std=2.427, absmax=10.95 +2025-11-04 13:18:49,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=9.805, mean=-0.2548, std=2.232, absmax=10.06 +2025-11-04 13:18:49,842 ERROR: Encountered non-finite generator loss at iter 20477; skipping update. +2025-11-04 13:18:49,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,844 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:49,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:49,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.64, mean=-0.2038, std=2.635, absmax=12.64 +2025-11-04 13:18:49,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.09, mean=-0.1806, std=2.621, absmax=10.9 +2025-11-04 13:18:50,203 ERROR: Encountered non-finite generator loss at iter 20478; skipping update. +2025-11-04 13:18:50,204 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,205 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:50,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.6, mean=-0.06379, std=2.943, absmax=14.6 +2025-11-04 13:18:50,206 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=12.99, mean=-0.07677, std=2.647, absmax=12.99 +2025-11-04 13:18:50,561 ERROR: Encountered non-finite generator loss at iter 20479; skipping update. +2025-11-04 13:18:50,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:50,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.72, mean=0.02341, std=3.483, absmax=14.72 +2025-11-04 13:18:50,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.33, max=13.7, mean=0.0126, std=3.293, absmax=13.7 +2025-11-04 13:18:50,920 ERROR: Encountered non-finite generator loss at iter 20480; skipping update. +2025-11-04 13:18:50,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:50,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:50,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.66, mean=0.06063, std=3.44, absmax=13.66 +2025-11-04 13:18:50,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=13.34, mean=0.1008, std=3.4, absmax=13.34 +2025-11-04 13:18:51,279 ERROR: Encountered non-finite generator loss at iter 20481; skipping update. +2025-11-04 13:18:51,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:51,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=12.06, mean=-0.08805, std=2.473, absmax=12.06 +2025-11-04 13:18:51,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=9.846, mean=-0.07974, std=2.295, absmax=10.07 +2025-11-04 13:18:51,639 ERROR: Encountered non-finite generator loss at iter 20482; skipping update. +2025-11-04 13:18:51,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:51,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=16.02, mean=-0.243, std=2.787, absmax=16.02 +2025-11-04 13:18:51,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=14.2, mean=-0.2292, std=2.606, absmax=14.2 +2025-11-04 13:18:51,998 ERROR: Encountered non-finite generator loss at iter 20483; skipping update. +2025-11-04 13:18:51,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:51,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:52,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.53, mean=-0.2983, std=2.818, absmax=12.54 +2025-11-04 13:18:52,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.13, mean=-0.3172, std=2.719, absmax=11.3 +2025-11-04 13:18:52,356 ERROR: Encountered non-finite generator loss at iter 20484; skipping update. +2025-11-04 13:18:52,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:52,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:52,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:52,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:52,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.05, mean=0.1072, std=3.209, absmax=13.05 +2025-11-04 13:18:52,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.56, mean=0.1094, std=2.908, absmax=11.56 +2025-11-04 13:18:52,724 ERROR: Encountered non-finite generator loss at iter 20485; skipping update. +2025-11-04 13:18:52,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:52,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:52,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:52,725 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:52,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.83, mean=-0.2974, std=2.747, absmax=12.83 +2025-11-04 13:18:52,726 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=10.32, mean=-0.265, std=2.477, absmax=11.06 +2025-11-04 13:18:53,082 ERROR: Encountered non-finite generator loss at iter 20486; skipping update. +2025-11-04 13:18:53,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:53,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.9, mean=0.05591, std=3.558, absmax=13.9 +2025-11-04 13:18:53,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=13.38, mean=0.1115, std=3.373, absmax=13.38 +2025-11-04 13:18:53,441 ERROR: Encountered non-finite generator loss at iter 20487; skipping update. +2025-11-04 13:18:53,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:53,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=11.13, mean=-0.005334, std=2.644, absmax=11.13 +2025-11-04 13:18:53,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=10.02, mean=-0.001293, std=2.471, absmax=10.6 +2025-11-04 13:18:53,800 ERROR: Encountered non-finite generator loss at iter 20488; skipping update. +2025-11-04 13:18:53,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:53,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:53,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=12.58, mean=-0.09206, std=3.209, absmax=14.03 +2025-11-04 13:18:53,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14, max=11.19, mean=-0.1089, std=2.985, absmax=14 +2025-11-04 13:18:54,159 ERROR: Encountered non-finite generator loss at iter 20489; skipping update. +2025-11-04 13:18:54,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:54,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=9.818, mean=-0.1955, std=2.665, absmax=11.27 +2025-11-04 13:18:54,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=9.597, mean=-0.2206, std=2.485, absmax=10.15 +2025-11-04 13:18:54,518 ERROR: Encountered non-finite generator loss at iter 20490; skipping update. +2025-11-04 13:18:54,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:54,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.63, mean=-0.1739, std=2.719, absmax=14.63 +2025-11-04 13:18:54,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=13.77, mean=-0.1763, std=2.613, absmax=13.77 +2025-11-04 13:18:54,877 ERROR: Encountered non-finite generator loss at iter 20491; skipping update. +2025-11-04 13:18:54,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:54,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:54,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.65, mean=-0.2372, std=2.606, absmax=12.18 +2025-11-04 13:18:54,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=9.268, mean=-0.2264, std=2.365, absmax=11.24 +2025-11-04 13:18:55,243 ERROR: Encountered non-finite generator loss at iter 20492; skipping update. +2025-11-04 13:18:55,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:55,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=10.73, mean=-0.181, std=2.561, absmax=11.69 +2025-11-04 13:18:55,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=10.54, mean=-0.1801, std=2.601, absmax=11.67 +2025-11-04 13:18:55,602 ERROR: Encountered non-finite generator loss at iter 20493; skipping update. +2025-11-04 13:18:55,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:55,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.84, mean=-0.1138, std=2.713, absmax=12.11 +2025-11-04 13:18:55,605 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=9.505, mean=-0.1342, std=2.545, absmax=10.92 +2025-11-04 13:18:55,960 ERROR: Encountered non-finite generator loss at iter 20494; skipping update. +2025-11-04 13:18:55,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:55,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:55,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.99, mean=-0.1845, std=2.887, absmax=12.51 +2025-11-04 13:18:55,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=10.7, mean=-0.1559, std=2.684, absmax=10.7 +2025-11-04 13:18:56,322 ERROR: Encountered non-finite generator loss at iter 20495; skipping update. +2025-11-04 13:18:56,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:56,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:56,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:56,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:56,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.56, mean=-0.1202, std=3.054, absmax=12.51 +2025-11-04 13:18:56,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=10.01, mean=-0.08292, std=2.787, absmax=11.93 +2025-11-04 13:18:56,684 ERROR: Encountered non-finite generator loss at iter 20496; skipping update. +2025-11-04 13:18:56,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:56,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:56,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:56,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:56,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.48, mean=-0.1964, std=2.555, absmax=14.48 +2025-11-04 13:18:56,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=12.24, mean=-0.1962, std=2.393, absmax=12.24 +2025-11-04 13:18:57,045 ERROR: Encountered non-finite generator loss at iter 20497; skipping update. +2025-11-04 13:18:57,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:57,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.97, mean=-0.2902, std=2.633, absmax=12.97 +2025-11-04 13:18:57,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=11.66, mean=-0.2709, std=2.401, absmax=12.03 +2025-11-04 13:18:57,404 ERROR: Encountered non-finite generator loss at iter 20498; skipping update. +2025-11-04 13:18:57,405 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,406 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,406 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:57,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=10.9, mean=-0.285, std=2.67, absmax=12.88 +2025-11-04 13:18:57,407 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=9.736, mean=-0.2498, std=2.533, absmax=11.56 +2025-11-04 13:18:57,763 ERROR: Encountered non-finite generator loss at iter 20499; skipping update. +2025-11-04 13:18:57,764 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:57,765 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:57,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.92, max=13.78, mean=-0.2792, std=3.098, absmax=14.92 +2025-11-04 13:18:57,767 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=12.01, mean=-0.2978, std=2.892, absmax=12.01 +2025-11-04 13:18:58,123 ERROR: Encountered non-finite generator loss at iter 20500; skipping update. +2025-11-04 13:18:58,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:58,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.41, mean=-0.2244, std=3.325, absmax=13.41 +2025-11-04 13:18:58,127 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=10.83, mean=-0.2164, std=3.066, absmax=11.94 +2025-11-04 13:18:58,127 INFO: [38..][epoch: 0, step: 20,500, lr:(2.000e-04,)] [eta: 1 day, 8:15:37, time (data): 0.360 (0.000)] +2025-11-04 13:18:58,482 ERROR: Encountered non-finite generator loss at iter 20501; skipping update. +2025-11-04 13:18:58,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:58,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.42, mean=-0.1079, std=3.215, absmax=12.42 +2025-11-04 13:18:58,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=12.34, mean=-0.09711, std=3.075, absmax=12.34 +2025-11-04 13:18:58,841 ERROR: Encountered non-finite generator loss at iter 20502; skipping update. +2025-11-04 13:18:58,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:58,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:58,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=14.65, mean=0.124, std=3.575, absmax=14.65 +2025-11-04 13:18:58,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=13.39, mean=0.1342, std=3.265, absmax=13.39 +2025-11-04 13:18:59,201 ERROR: Encountered non-finite generator loss at iter 20503; skipping update. +2025-11-04 13:18:59,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:59,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.84, mean=-0.09999, std=3.147, absmax=12.84 +2025-11-04 13:18:59,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=13.3, mean=-0.06216, std=2.864, absmax=13.3 +2025-11-04 13:18:59,560 ERROR: Encountered non-finite generator loss at iter 20504; skipping update. +2025-11-04 13:18:59,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:59,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.8, mean=0.02221, std=2.938, absmax=12.8 +2025-11-04 13:18:59,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.73, mean=0.05621, std=2.767, absmax=11.73 +2025-11-04 13:18:59,920 ERROR: Encountered non-finite generator loss at iter 20505; skipping update. +2025-11-04 13:18:59,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:18:59,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:18:59,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=12.72, mean=-0.212, std=3.512, absmax=14.78 +2025-11-04 13:18:59,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.06, max=10.88, mean=-0.2652, std=3.36, absmax=14.06 +2025-11-04 13:19:00,279 ERROR: Encountered non-finite generator loss at iter 20506; skipping update. +2025-11-04 13:19:00,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:00,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=10.61, mean=-0.3116, std=2.775, absmax=12.32 +2025-11-04 13:19:00,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=12.65, mean=-0.2953, std=2.488, absmax=12.65 +2025-11-04 13:19:00,639 ERROR: Encountered non-finite generator loss at iter 20507; skipping update. +2025-11-04 13:19:00,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:00,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=9.67, mean=-0.2022, std=2.91, absmax=11.86 +2025-11-04 13:19:00,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=9.883, mean=-0.1915, std=2.725, absmax=10.65 +2025-11-04 13:19:00,998 ERROR: Encountered non-finite generator loss at iter 20508; skipping update. +2025-11-04 13:19:00,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:00,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:01,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=15.32, mean=-0.09575, std=2.915, absmax=15.32 +2025-11-04 13:19:01,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=13.05, mean=-0.0691, std=2.771, absmax=13.05 +2025-11-04 13:19:01,357 ERROR: Encountered non-finite generator loss at iter 20509; skipping update. +2025-11-04 13:19:01,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:01,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:01,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:01,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:01,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.58, mean=-0.2294, std=3.363, absmax=13.58 +2025-11-04 13:19:01,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=11.49, mean=-0.2357, std=3.233, absmax=13.28 +2025-11-04 13:19:01,717 ERROR: Encountered non-finite generator loss at iter 20510; skipping update. +2025-11-04 13:19:01,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:01,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:01,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:01,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:01,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.61, mean=-0.1535, std=3.287, absmax=12.61 +2025-11-04 13:19:01,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.64, mean=-0.1791, std=3.011, absmax=11.34 +2025-11-04 13:19:02,076 ERROR: Encountered non-finite generator loss at iter 20511; skipping update. +2025-11-04 13:19:02,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:02,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=15.97, mean=0.011, std=3.52, absmax=15.97 +2025-11-04 13:19:02,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=15.22, mean=0.02063, std=3.266, absmax=15.22 +2025-11-04 13:19:02,436 ERROR: Encountered non-finite generator loss at iter 20512; skipping update. +2025-11-04 13:19:02,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:02,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.29, mean=-0.2754, std=2.613, absmax=13.29 +2025-11-04 13:19:02,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=12.01, mean=-0.2758, std=2.518, absmax=12.01 +2025-11-04 13:19:02,797 ERROR: Encountered non-finite generator loss at iter 20513; skipping update. +2025-11-04 13:19:02,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:02,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:02,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=13.68, mean=-0.1548, std=3.499, absmax=14.41 +2025-11-04 13:19:02,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=13.41, mean=-0.1048, std=3.362, absmax=13.41 +2025-11-04 13:19:03,156 ERROR: Encountered non-finite generator loss at iter 20514; skipping update. +2025-11-04 13:19:03,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:03,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.23, mean=-0.1406, std=3.687, absmax=13.97 +2025-11-04 13:19:03,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=11.05, mean=-0.1143, std=3.48, absmax=13.1 +2025-11-04 13:19:03,516 ERROR: Encountered non-finite generator loss at iter 20515; skipping update. +2025-11-04 13:19:03,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:03,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.78, mean=-0.1254, std=3.396, absmax=12.97 +2025-11-04 13:19:03,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.11, mean=-0.1162, std=3.054, absmax=11.29 +2025-11-04 13:19:03,875 ERROR: Encountered non-finite generator loss at iter 20516; skipping update. +2025-11-04 13:19:03,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:03,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:03,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.49, mean=0.04623, std=2.987, absmax=14.49 +2025-11-04 13:19:03,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=12.24, mean=0.09104, std=2.952, absmax=13.09 +2025-11-04 13:19:04,240 ERROR: Encountered non-finite generator loss at iter 20517; skipping update. +2025-11-04 13:19:04,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,244 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:04,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=14.06, mean=-0.06947, std=2.967, absmax=14.06 +2025-11-04 13:19:04,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.56, mean=-0.0521, std=2.792, absmax=12.56 +2025-11-04 13:19:04,617 ERROR: Encountered non-finite generator loss at iter 20518; skipping update. +2025-11-04 13:19:04,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:04,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.54, mean=-0.1976, std=2.946, absmax=13.54 +2025-11-04 13:19:04,622 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=13.16, mean=-0.151, std=2.868, absmax=13.16 +2025-11-04 13:19:04,982 ERROR: Encountered non-finite generator loss at iter 20519; skipping update. +2025-11-04 13:19:04,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:04,986 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:04,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.8, mean=0.062, std=3.185, absmax=13.8 +2025-11-04 13:19:04,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=13.27, mean=0.03948, std=2.813, absmax=13.27 +2025-11-04 13:19:05,349 ERROR: Encountered non-finite generator loss at iter 20520; skipping update. +2025-11-04 13:19:05,351 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:05,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:05,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:05,353 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:05,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=10.84, mean=-0.2736, std=2.715, absmax=13.34 +2025-11-04 13:19:05,355 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=9.686, mean=-0.2711, std=2.451, absmax=11.28 +2025-11-04 13:19:05,716 ERROR: Encountered non-finite generator loss at iter 20521; skipping update. +2025-11-04 13:19:05,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:05,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:05,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:05,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:05,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=11.55, mean=-0.08098, std=3.267, absmax=14.76 +2025-11-04 13:19:05,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.34, max=11.45, mean=-0.1105, std=3.061, absmax=15.34 +2025-11-04 13:19:06,079 ERROR: Encountered non-finite generator loss at iter 20522; skipping update. +2025-11-04 13:19:06,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:06,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.86, mean=-0.2078, std=2.868, absmax=11.91 +2025-11-04 13:19:06,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.85, mean=-0.1888, std=2.624, absmax=10.85 +2025-11-04 13:19:06,441 ERROR: Encountered non-finite generator loss at iter 20523; skipping update. +2025-11-04 13:19:06,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,444 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:06,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.35, mean=-0.2561, std=2.936, absmax=13.86 +2025-11-04 13:19:06,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.3, mean=-0.2252, std=2.726, absmax=11.91 +2025-11-04 13:19:06,804 ERROR: Encountered non-finite generator loss at iter 20524; skipping update. +2025-11-04 13:19:06,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:06,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:06,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.08, mean=-0.1216, std=3.245, absmax=13.22 +2025-11-04 13:19:06,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=11.06, mean=-0.08512, std=2.976, absmax=12.76 +2025-11-04 13:19:07,164 ERROR: Encountered non-finite generator loss at iter 20525; skipping update. +2025-11-04 13:19:07,165 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,166 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,167 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:07,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.35, mean=-0.226, std=2.716, absmax=12.78 +2025-11-04 13:19:07,168 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=9.193, mean=-0.195, std=2.618, absmax=12.21 +2025-11-04 13:19:07,526 ERROR: Encountered non-finite generator loss at iter 20526; skipping update. +2025-11-04 13:19:07,527 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,529 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:07,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=13.22, mean=-0.1465, std=3.021, absmax=15.75 +2025-11-04 13:19:07,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=11.7, mean=-0.116, std=2.843, absmax=12.6 +2025-11-04 13:19:07,888 ERROR: Encountered non-finite generator loss at iter 20527; skipping update. +2025-11-04 13:19:07,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:07,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:07,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.05, mean=-0.2479, std=3.527, absmax=12.96 +2025-11-04 13:19:07,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=10.36, mean=-0.2326, std=3.293, absmax=12.37 +2025-11-04 13:19:08,250 ERROR: Encountered non-finite generator loss at iter 20528; skipping update. +2025-11-04 13:19:08,251 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,252 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:08,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=14.46, mean=0.0188, std=3.22, absmax=14.46 +2025-11-04 13:19:08,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=12.33, mean=0.02648, std=2.994, absmax=12.33 +2025-11-04 13:19:08,613 ERROR: Encountered non-finite generator loss at iter 20529; skipping update. +2025-11-04 13:19:08,614 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,615 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:08,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=11.93, mean=-0.0629, std=2.915, absmax=13.32 +2025-11-04 13:19:08,617 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=10.64, mean=-0.03714, std=2.634, absmax=12.62 +2025-11-04 13:19:08,978 ERROR: Encountered non-finite generator loss at iter 20530; skipping update. +2025-11-04 13:19:08,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:08,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:08,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=14.69, mean=-0.2317, std=3.74, absmax=14.69 +2025-11-04 13:19:08,981 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=13.68, mean=-0.1756, std=3.369, absmax=13.68 +2025-11-04 13:19:09,344 ERROR: Encountered non-finite generator loss at iter 20531; skipping update. +2025-11-04 13:19:09,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:09,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:09,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:09,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:09,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=16.46, mean=-0.1364, std=3.197, absmax=16.46 +2025-11-04 13:19:09,351 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=15.35, mean=-0.09988, std=3.007, absmax=15.35 +2025-11-04 13:19:09,778 ERROR: Encountered non-finite generator loss at iter 20532; skipping update. +2025-11-04 13:19:09,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:09,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:09,781 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:09,782 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:09,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=14.32, mean=-0.143, std=3.535, absmax=14.32 +2025-11-04 13:19:09,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=13.23, mean=-0.1444, std=3.252, absmax=13.6 +2025-11-04 13:19:10,146 ERROR: Encountered non-finite generator loss at iter 20533; skipping update. +2025-11-04 13:19:10,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:10,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=11.74, mean=-0.2727, std=3.424, absmax=13.38 +2025-11-04 13:19:10,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=10.39, mean=-0.2553, std=3.212, absmax=12.31 +2025-11-04 13:19:10,511 ERROR: Encountered non-finite generator loss at iter 20534; skipping update. +2025-11-04 13:19:10,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,515 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:10,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.82, mean=-0.1681, std=2.572, absmax=13.82 +2025-11-04 13:19:10,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=12.14, mean=-0.1676, std=2.432, absmax=12.14 +2025-11-04 13:19:10,876 ERROR: Encountered non-finite generator loss at iter 20535; skipping update. +2025-11-04 13:19:10,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:10,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:10,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.69, mean=-0.1935, std=2.994, absmax=11.3 +2025-11-04 13:19:10,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=9.419, mean=-0.2178, std=2.756, absmax=10.54 +2025-11-04 13:19:11,238 ERROR: Encountered non-finite generator loss at iter 20536; skipping update. +2025-11-04 13:19:11,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:11,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=12.52, mean=-0.1667, std=3.099, absmax=12.52 +2025-11-04 13:19:11,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.02, mean=-0.1913, std=2.831, absmax=11.02 +2025-11-04 13:19:11,599 ERROR: Encountered non-finite generator loss at iter 20537; skipping update. +2025-11-04 13:19:11,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:11,601 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.69, mean=0.1172, std=3.209, absmax=12.77 +2025-11-04 13:19:11,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.34, mean=0.07415, std=2.862, absmax=10.9 +2025-11-04 13:19:11,959 ERROR: Encountered non-finite generator loss at iter 20538; skipping update. +2025-11-04 13:19:11,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:11,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:11,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.02, mean=-0.2962, std=3.388, absmax=13.37 +2025-11-04 13:19:11,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=12.16, mean=-0.314, std=3.193, absmax=13.15 +2025-11-04 13:19:12,321 ERROR: Encountered non-finite generator loss at iter 20539; skipping update. +2025-11-04 13:19:12,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:12,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:12,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:12,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:12,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.06, mean=-0.1946, std=2.95, absmax=13.04 +2025-11-04 13:19:12,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=10.3, mean=-0.1666, std=2.683, absmax=10.94 +2025-11-04 13:19:12,681 ERROR: Encountered non-finite generator loss at iter 20540; skipping update. +2025-11-04 13:19:12,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:12,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:12,683 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:12,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:12,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=14.33, mean=0.0007104, std=3.293, absmax=14.33 +2025-11-04 13:19:12,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=13.53, mean=-0.04653, std=2.965, absmax=13.53 +2025-11-04 13:19:13,042 ERROR: Encountered non-finite generator loss at iter 20541; skipping update. +2025-11-04 13:19:13,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,045 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:13,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.72, mean=0.1394, std=3.577, absmax=13.72 +2025-11-04 13:19:13,046 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=13.36, mean=0.1389, std=3.388, absmax=13.36 +2025-11-04 13:19:13,403 ERROR: Encountered non-finite generator loss at iter 20542; skipping update. +2025-11-04 13:19:13,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:13,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.83, mean=-0.2146, std=2.677, absmax=13.11 +2025-11-04 13:19:13,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=10.04, mean=-0.1971, std=2.491, absmax=12.54 +2025-11-04 13:19:13,762 ERROR: Encountered non-finite generator loss at iter 20543; skipping update. +2025-11-04 13:19:13,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:13,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:13,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.74, mean=-0.1881, std=2.784, absmax=13.07 +2025-11-04 13:19:13,766 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.5, mean=-0.1684, std=2.515, absmax=11.5 +2025-11-04 13:19:14,123 ERROR: Encountered non-finite generator loss at iter 20544; skipping update. +2025-11-04 13:19:14,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,126 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:14,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=14.75, mean=-0.08515, std=3.32, absmax=14.75 +2025-11-04 13:19:14,127 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=14.17, mean=-0.08537, std=3.078, absmax=14.17 +2025-11-04 13:19:14,483 ERROR: Encountered non-finite generator loss at iter 20545; skipping update. +2025-11-04 13:19:14,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,486 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:14,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=15.84, mean=-0.1325, std=3.231, absmax=15.84 +2025-11-04 13:19:14,487 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=13.8, mean=-0.1099, std=2.984, absmax=13.8 +2025-11-04 13:19:14,843 ERROR: Encountered non-finite generator loss at iter 20546; skipping update. +2025-11-04 13:19:14,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:14,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:14,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=15.32, mean=-0.2449, std=3.308, absmax=15.32 +2025-11-04 13:19:14,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=14.27, mean=-0.2324, std=3.09, absmax=14.27 +2025-11-04 13:19:15,203 ERROR: Encountered non-finite generator loss at iter 20547; skipping update. +2025-11-04 13:19:15,204 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:15,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.88, max=13.68, mean=-0.2751, std=3.884, absmax=15.88 +2025-11-04 13:19:15,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.83, max=13.67, mean=-0.2376, std=3.704, absmax=14.83 +2025-11-04 13:19:15,564 ERROR: Encountered non-finite generator loss at iter 20548; skipping update. +2025-11-04 13:19:15,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:15,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=15.24, mean=-0.01119, std=3.247, absmax=15.24 +2025-11-04 13:19:15,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=12.44, mean=-0.01905, std=3.03, absmax=12.44 +2025-11-04 13:19:15,924 ERROR: Encountered non-finite generator loss at iter 20549; skipping update. +2025-11-04 13:19:15,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:15,926 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:15,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=14.08, mean=-0.2719, std=2.777, absmax=14.08 +2025-11-04 13:19:15,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.51, mean=-0.2184, std=2.487, absmax=11.51 +2025-11-04 13:19:16,283 ERROR: Encountered non-finite generator loss at iter 20550; skipping update. +2025-11-04 13:19:16,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:16,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:16,285 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:16,286 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:16,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.35, mean=-0.1432, std=3.106, absmax=12.35 +2025-11-04 13:19:16,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=11.25, mean=-0.1305, std=2.898, absmax=11.25 +2025-11-04 13:19:16,645 ERROR: Encountered non-finite generator loss at iter 20551; skipping update. +2025-11-04 13:19:16,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:16,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:16,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:16,648 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:16,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=13.16, mean=-0.1317, std=2.864, absmax=15.31 +2025-11-04 13:19:16,649 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=10.84, mean=-0.09167, std=2.785, absmax=11.02 +2025-11-04 13:19:17,007 ERROR: Encountered non-finite generator loss at iter 20552; skipping update. +2025-11-04 13:19:17,008 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,009 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,009 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:17,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.61, mean=-0.2455, std=2.834, absmax=12.42 +2025-11-04 13:19:17,011 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=9.911, mean=-0.2196, std=2.613, absmax=10.82 +2025-11-04 13:19:17,367 ERROR: Encountered non-finite generator loss at iter 20553; skipping update. +2025-11-04 13:19:17,368 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,369 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,369 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:17,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.76, mean=-0.118, std=3.329, absmax=14.76 +2025-11-04 13:19:17,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=11.93, mean=-0.1205, std=3.051, absmax=12.49 +2025-11-04 13:19:17,729 ERROR: Encountered non-finite generator loss at iter 20554; skipping update. +2025-11-04 13:19:17,730 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,731 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:17,731 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:17,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.74, mean=-0.1715, std=3.013, absmax=12.82 +2025-11-04 13:19:17,733 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=12.7, mean=-0.1222, std=2.812, absmax=12.7 +2025-11-04 13:19:18,090 ERROR: Encountered non-finite generator loss at iter 20555; skipping update. +2025-11-04 13:19:18,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,092 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,093 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:18,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=12.87, mean=-0.1523, std=2.968, absmax=14.49 +2025-11-04 13:19:18,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=11.56, mean=-0.1611, std=2.758, absmax=13.42 +2025-11-04 13:19:18,451 ERROR: Encountered non-finite generator loss at iter 20556; skipping update. +2025-11-04 13:19:18,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:18,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=13.19, mean=-0.2105, std=3.319, absmax=14.78 +2025-11-04 13:19:18,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=12.5, mean=-0.2369, std=3.082, absmax=13.76 +2025-11-04 13:19:18,812 ERROR: Encountered non-finite generator loss at iter 20557; skipping update. +2025-11-04 13:19:18,813 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:18,814 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:18,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.32, mean=-0.02628, std=3.347, absmax=13.32 +2025-11-04 13:19:18,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.27, mean=-0.06723, std=3.037, absmax=12.27 +2025-11-04 13:19:19,173 ERROR: Encountered non-finite generator loss at iter 20558; skipping update. +2025-11-04 13:19:19,174 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,175 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,175 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:19,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.72, mean=0.02426, std=3.11, absmax=13.72 +2025-11-04 13:19:19,177 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=12.57, mean=0.02575, std=2.822, absmax=12.57 +2025-11-04 13:19:19,534 ERROR: Encountered non-finite generator loss at iter 20559; skipping update. +2025-11-04 13:19:19,535 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,536 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:19,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=10.64, mean=-0.3068, std=2.791, absmax=12.87 +2025-11-04 13:19:19,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=9.815, mean=-0.2458, std=2.696, absmax=12.5 +2025-11-04 13:19:19,895 ERROR: Encountered non-finite generator loss at iter 20560; skipping update. +2025-11-04 13:19:19,896 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,897 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:19,897 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:19,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=11.48, mean=-0.05973, std=2.37, absmax=11.48 +2025-11-04 13:19:19,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.25, max=10.34, mean=-0.03581, std=2.213, absmax=10.34 +2025-11-04 13:19:20,257 ERROR: Encountered non-finite generator loss at iter 20561; skipping update. +2025-11-04 13:19:20,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,260 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:20,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=15.64, mean=-0.1968, std=3.392, absmax=15.64 +2025-11-04 13:19:20,262 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.67, mean=-0.1699, std=3.184, absmax=11.89 +2025-11-04 13:19:20,630 ERROR: Encountered non-finite generator loss at iter 20562; skipping update. +2025-11-04 13:19:20,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:20,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=11.19, mean=-0.06924, std=3.247, absmax=13.26 +2025-11-04 13:19:20,633 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=9.956, mean=-0.06454, std=2.917, absmax=12.09 +2025-11-04 13:19:20,990 ERROR: Encountered non-finite generator loss at iter 20563; skipping update. +2025-11-04 13:19:20,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:20,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:20,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.35, mean=-0.1189, std=3.191, absmax=12.35 +2025-11-04 13:19:20,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=11.49, mean=-0.1248, std=2.879, absmax=11.49 +2025-11-04 13:19:21,352 ERROR: Encountered non-finite generator loss at iter 20564; skipping update. +2025-11-04 13:19:21,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:21,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:21,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:21,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:21,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=14.14, mean=-0.04858, std=2.943, absmax=14.4 +2025-11-04 13:19:21,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=13.24, mean=-0.07646, std=2.725, absmax=13.24 +2025-11-04 13:19:21,716 ERROR: Encountered non-finite generator loss at iter 20565; skipping update. +2025-11-04 13:19:21,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:21,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:21,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:21,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:21,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.46, mean=-0.2044, std=2.811, absmax=11.76 +2025-11-04 13:19:21,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.38, mean=-0.2191, std=2.654, absmax=11.59 +2025-11-04 13:19:22,079 ERROR: Encountered non-finite generator loss at iter 20566; skipping update. +2025-11-04 13:19:22,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:22,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.37, mean=-0.2551, std=3.271, absmax=13.37 +2025-11-04 13:19:22,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=10.88, mean=-0.2691, std=2.991, absmax=13.39 +2025-11-04 13:19:22,442 ERROR: Encountered non-finite generator loss at iter 20567; skipping update. +2025-11-04 13:19:22,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,444 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:22,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=9.92, mean=-0.3131, std=3.137, absmax=12.33 +2025-11-04 13:19:22,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=9.61, mean=-0.2932, std=2.965, absmax=11.62 +2025-11-04 13:19:22,804 ERROR: Encountered non-finite generator loss at iter 20568; skipping update. +2025-11-04 13:19:22,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:22,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:22,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.29, mean=-0.2396, std=3.004, absmax=13.29 +2025-11-04 13:19:22,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=12.51, mean=-0.2771, std=2.737, absmax=12.51 +2025-11-04 13:19:23,165 ERROR: Encountered non-finite generator loss at iter 20569; skipping update. +2025-11-04 13:19:23,166 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,167 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,167 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:23,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.61, mean=-0.1372, std=3.158, absmax=13.61 +2025-11-04 13:19:23,169 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=11.68, mean=-0.1598, std=2.877, absmax=11.68 +2025-11-04 13:19:23,526 ERROR: Encountered non-finite generator loss at iter 20570; skipping update. +2025-11-04 13:19:23,527 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,529 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:23,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=14.64, mean=-0.08939, std=3.389, absmax=14.64 +2025-11-04 13:19:23,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=14.78, mean=-0.07916, std=3.119, absmax=14.78 +2025-11-04 13:19:23,888 ERROR: Encountered non-finite generator loss at iter 20571; skipping update. +2025-11-04 13:19:23,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:23,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:23,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=10.2, mean=-0.1729, std=2.737, absmax=12.06 +2025-11-04 13:19:23,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=9.159, mean=-0.182, std=2.552, absmax=11.9 +2025-11-04 13:19:24,250 ERROR: Encountered non-finite generator loss at iter 20572; skipping update. +2025-11-04 13:19:24,251 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:24,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.33, mean=-0.1382, std=3.257, absmax=14.33 +2025-11-04 13:19:24,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.7, mean=-0.1847, std=2.975, absmax=12.7 +2025-11-04 13:19:24,614 ERROR: Encountered non-finite generator loss at iter 20573; skipping update. +2025-11-04 13:19:24,615 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:24,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=16.36, mean=-0.2177, std=3.103, absmax=16.36 +2025-11-04 13:19:24,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=13.74, mean=-0.2346, std=2.811, absmax=13.74 +2025-11-04 13:19:24,979 ERROR: Encountered non-finite generator loss at iter 20574; skipping update. +2025-11-04 13:19:24,980 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,981 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:24,982 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:24,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=11.94, mean=0.02317, std=2.727, absmax=11.94 +2025-11-04 13:19:24,983 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=11.53, mean=0.03668, std=2.565, absmax=11.53 +2025-11-04 13:19:25,342 ERROR: Encountered non-finite generator loss at iter 20575; skipping update. +2025-11-04 13:19:25,342 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:25,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:25,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:25,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:25,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.33, mean=-0.2171, std=2.689, absmax=13.72 +2025-11-04 13:19:25,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.51, mean=-0.2007, std=2.471, absmax=11.67 +2025-11-04 13:19:25,703 ERROR: Encountered non-finite generator loss at iter 20576; skipping update. +2025-11-04 13:19:25,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:25,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:25,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:25,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:25,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=14.66, mean=-0.1888, std=2.966, absmax=14.66 +2025-11-04 13:19:25,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=12.98, mean=-0.197, std=2.784, absmax=12.98 +2025-11-04 13:19:26,062 ERROR: Encountered non-finite generator loss at iter 20577; skipping update. +2025-11-04 13:19:26,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:26,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.92, mean=0.08564, std=3.201, absmax=12.92 +2025-11-04 13:19:26,066 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.62, mean=0.1173, std=2.945, absmax=11.62 +2025-11-04 13:19:26,422 ERROR: Encountered non-finite generator loss at iter 20578; skipping update. +2025-11-04 13:19:26,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:26,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.8, mean=-0.0396, std=3.002, absmax=13.78 +2025-11-04 13:19:26,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=11.28, mean=-0.05677, std=2.827, absmax=13.28 +2025-11-04 13:19:26,781 ERROR: Encountered non-finite generator loss at iter 20579; skipping update. +2025-11-04 13:19:26,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:26,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:26,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=15.28, mean=0.006965, std=3.696, absmax=15.28 +2025-11-04 13:19:26,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=15.05, mean=0.02188, std=3.566, absmax=15.05 +2025-11-04 13:19:27,141 ERROR: Encountered non-finite generator loss at iter 20580; skipping update. +2025-11-04 13:19:27,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:27,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=15.77, mean=-0.01585, std=2.745, absmax=15.77 +2025-11-04 13:19:27,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=15.72, mean=-0.03809, std=2.623, absmax=15.72 +2025-11-04 13:19:27,500 ERROR: Encountered non-finite generator loss at iter 20581; skipping update. +2025-11-04 13:19:27,501 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,502 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:27,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.72, mean=-0.1419, std=3.156, absmax=12.72 +2025-11-04 13:19:27,504 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=10.63, mean=-0.09325, std=3.051, absmax=11.51 +2025-11-04 13:19:27,861 ERROR: Encountered non-finite generator loss at iter 20582; skipping update. +2025-11-04 13:19:27,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,863 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:27,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:27,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.89, mean=-0.2296, std=3.082, absmax=13.09 +2025-11-04 13:19:27,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=10.8, mean=-0.2127, std=2.917, absmax=11.8 +2025-11-04 13:19:28,221 ERROR: Encountered non-finite generator loss at iter 20583; skipping update. +2025-11-04 13:19:28,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:28,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.8, mean=-0.05195, std=3.405, absmax=14.22 +2025-11-04 13:19:28,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=12.23, mean=-0.0536, std=3.156, absmax=13.08 +2025-11-04 13:19:28,582 ERROR: Encountered non-finite generator loss at iter 20584; skipping update. +2025-11-04 13:19:28,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,584 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:28,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.93, mean=-0.04928, std=2.798, absmax=12.93 +2025-11-04 13:19:28,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=11.13, mean=-0.01026, std=2.556, absmax=11.13 +2025-11-04 13:19:28,942 ERROR: Encountered non-finite generator loss at iter 20585; skipping update. +2025-11-04 13:19:28,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,944 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:28,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:28,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=14.87, mean=-0.4586, std=3.907, absmax=14.87 +2025-11-04 13:19:28,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=13.03, mean=-0.4049, std=3.648, absmax=13.03 +2025-11-04 13:19:29,303 ERROR: Encountered non-finite generator loss at iter 20586; skipping update. +2025-11-04 13:19:29,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:29,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:29,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:29,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:29,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=13.06, mean=-0.1673, std=2.749, absmax=15.6 +2025-11-04 13:19:29,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=10.09, mean=-0.1667, std=2.592, absmax=12.37 +2025-11-04 13:19:29,663 ERROR: Encountered non-finite generator loss at iter 20587; skipping update. +2025-11-04 13:19:29,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:29,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:29,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:29,665 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:29,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.98, mean=-0.1795, std=2.649, absmax=12.41 +2025-11-04 13:19:29,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=10.06, mean=-0.2077, std=2.428, absmax=10.72 +2025-11-04 13:19:30,022 ERROR: Encountered non-finite generator loss at iter 20588; skipping update. +2025-11-04 13:19:30,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:30,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.42, mean=-0.2941, std=3.249, absmax=13.86 +2025-11-04 13:19:30,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=11.68, mean=-0.2744, std=2.929, absmax=11.76 +2025-11-04 13:19:30,382 ERROR: Encountered non-finite generator loss at iter 20589; skipping update. +2025-11-04 13:19:30,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:30,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=10.31, mean=-0.3325, std=2.705, absmax=12.44 +2025-11-04 13:19:30,386 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=9.796, mean=-0.3123, std=2.634, absmax=11.5 +2025-11-04 13:19:30,742 ERROR: Encountered non-finite generator loss at iter 20590; skipping update. +2025-11-04 13:19:30,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:30,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:30,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.44, mean=-0.252, std=3.165, absmax=14.44 +2025-11-04 13:19:30,745 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=12.74, mean=-0.2105, std=2.985, absmax=12.74 +2025-11-04 13:19:31,103 ERROR: Encountered non-finite generator loss at iter 20591; skipping update. +2025-11-04 13:19:31,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:31,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=14.57, mean=-0.1965, std=3.099, absmax=14.57 +2025-11-04 13:19:31,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=10.9, mean=-0.2058, std=2.852, absmax=11.82 +2025-11-04 13:19:31,465 ERROR: Encountered non-finite generator loss at iter 20592; skipping update. +2025-11-04 13:19:31,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:31,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.75, mean=-0.1463, std=2.696, absmax=13.75 +2025-11-04 13:19:31,468 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=11.04, mean=-0.1525, std=2.579, absmax=11.94 +2025-11-04 13:19:31,825 ERROR: Encountered non-finite generator loss at iter 20593; skipping update. +2025-11-04 13:19:31,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:31,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:31,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.23, mean=-0.1509, std=3.422, absmax=13.91 +2025-11-04 13:19:31,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=11.92, mean=-0.1828, std=3.09, absmax=12.98 +2025-11-04 13:19:32,185 ERROR: Encountered non-finite generator loss at iter 20594; skipping update. +2025-11-04 13:19:32,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:32,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.36, mean=-0.05662, std=2.912, absmax=14.36 +2025-11-04 13:19:32,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.9, mean=-0.05804, std=2.639, absmax=12.9 +2025-11-04 13:19:32,546 ERROR: Encountered non-finite generator loss at iter 20595; skipping update. +2025-11-04 13:19:32,547 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,548 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,548 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:32,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=13.8, mean=-0.04027, std=3.155, absmax=13.8 +2025-11-04 13:19:32,549 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=12.16, mean=-0.03482, std=2.98, absmax=12.16 +2025-11-04 13:19:32,906 ERROR: Encountered non-finite generator loss at iter 20596; skipping update. +2025-11-04 13:19:32,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:32,908 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:32,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.58, max=12.39, mean=0.07649, std=2.962, absmax=12.39 +2025-11-04 13:19:32,909 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=11.31, mean=0.05401, std=2.842, absmax=11.31 +2025-11-04 13:19:33,266 ERROR: Encountered non-finite generator loss at iter 20597; skipping update. +2025-11-04 13:19:33,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,268 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:33,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=13.51, mean=0.06156, std=3.257, absmax=13.51 +2025-11-04 13:19:33,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=11.93, mean=0.03139, std=2.991, absmax=11.93 +2025-11-04 13:19:33,626 ERROR: Encountered non-finite generator loss at iter 20598; skipping update. +2025-11-04 13:19:33,628 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,628 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,629 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:33,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.61, mean=0.0577, std=3.315, absmax=13.61 +2025-11-04 13:19:33,630 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=13.1, mean=0.05843, std=3.127, absmax=13.1 +2025-11-04 13:19:33,988 ERROR: Encountered non-finite generator loss at iter 20599; skipping update. +2025-11-04 13:19:33,988 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,989 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:33,989 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:33,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.45, mean=-0.1003, std=3.225, absmax=13.45 +2025-11-04 13:19:33,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=12.47, mean=-0.1347, std=3.073, absmax=12.47 +2025-11-04 13:19:34,347 ERROR: Encountered non-finite generator loss at iter 20600; skipping update. +2025-11-04 13:19:34,348 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:34,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:34,349 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:34,349 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:34,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.78, mean=-0.1235, std=3.202, absmax=14.78 +2025-11-04 13:19:34,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.55, mean=-0.1131, std=3.051, absmax=11.82 +2025-11-04 13:19:34,351 INFO: [38..][epoch: 0, step: 20,600, lr:(2.000e-04,)] [eta: 1 day, 8:07:26, time (data): 0.362 (0.000)] +2025-11-04 13:19:34,708 ERROR: Encountered non-finite generator loss at iter 20601; skipping update. +2025-11-04 13:19:34,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:34,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:34,710 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:34,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:34,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.2, max=11.16, mean=-0.004973, std=2.58, absmax=11.16 +2025-11-04 13:19:34,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.458, max=10.32, mean=0.0267, std=2.444, absmax=10.32 +2025-11-04 13:19:35,068 ERROR: Encountered non-finite generator loss at iter 20602; skipping update. +2025-11-04 13:19:35,070 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,071 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,071 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:35,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.23, mean=-0.0961, std=3.348, absmax=13.23 +2025-11-04 13:19:35,072 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=11.48, mean=-0.0722, std=3.085, absmax=12.28 +2025-11-04 13:19:35,430 ERROR: Encountered non-finite generator loss at iter 20603; skipping update. +2025-11-04 13:19:35,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,432 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:35,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=16.55, mean=-0.1127, std=3.063, absmax=16.55 +2025-11-04 13:19:35,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=15.03, mean=-0.1474, std=2.87, absmax=15.03 +2025-11-04 13:19:35,790 ERROR: Encountered non-finite generator loss at iter 20604; skipping update. +2025-11-04 13:19:35,791 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,792 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:35,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:35,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.05, mean=-0.07483, std=2.63, absmax=14.05 +2025-11-04 13:19:35,794 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=11.92, mean=-0.05682, std=2.41, absmax=11.92 +2025-11-04 13:19:36,150 ERROR: Encountered non-finite generator loss at iter 20605; skipping update. +2025-11-04 13:19:36,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,152 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:36,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.13, mean=-0.08596, std=3.033, absmax=14.13 +2025-11-04 13:19:36,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.965, max=13.12, mean=-0.1074, std=2.732, absmax=13.12 +2025-11-04 13:19:36,509 ERROR: Encountered non-finite generator loss at iter 20606; skipping update. +2025-11-04 13:19:36,511 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,512 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:36,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=10.96, mean=-0.365, std=2.766, absmax=12.48 +2025-11-04 13:19:36,513 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=8.246, mean=-0.3653, std=2.554, absmax=12.06 +2025-11-04 13:19:36,870 ERROR: Encountered non-finite generator loss at iter 20607; skipping update. +2025-11-04 13:19:36,871 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,872 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:36,872 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:36,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.72, mean=-0.1563, std=2.755, absmax=12.72 +2025-11-04 13:19:36,873 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.806, max=12.33, mean=-0.1367, std=2.56, absmax=12.33 +2025-11-04 13:19:37,230 ERROR: Encountered non-finite generator loss at iter 20608; skipping update. +2025-11-04 13:19:37,231 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:37,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.13, mean=-0.2131, std=2.853, absmax=13.13 +2025-11-04 13:19:37,234 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=11.79, mean=-0.2328, std=2.797, absmax=11.79 +2025-11-04 13:19:37,593 ERROR: Encountered non-finite generator loss at iter 20609; skipping update. +2025-11-04 13:19:37,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:37,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.37, mean=-0.1426, std=2.758, absmax=12.11 +2025-11-04 13:19:37,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.556, max=10.39, mean=-0.1271, std=2.552, absmax=10.39 +2025-11-04 13:19:37,956 ERROR: Encountered non-finite generator loss at iter 20610; skipping update. +2025-11-04 13:19:37,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:37,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:37,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=12.6, mean=-0.272, std=2.759, absmax=14.03 +2025-11-04 13:19:37,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.38, max=11.01, mean=-0.255, std=2.53, absmax=13.38 +2025-11-04 13:19:38,316 ERROR: Encountered non-finite generator loss at iter 20611; skipping update. +2025-11-04 13:19:38,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:38,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:38,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:38,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:38,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.4, mean=-0.2064, std=2.77, absmax=12.2 +2025-11-04 13:19:38,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.02, mean=-0.1751, std=2.672, absmax=11.55 +2025-11-04 13:19:38,677 ERROR: Encountered non-finite generator loss at iter 20612; skipping update. +2025-11-04 13:19:38,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:38,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:38,679 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:38,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:38,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=17.28, mean=-0.3114, std=3.567, absmax=17.28 +2025-11-04 13:19:38,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.84, max=14.94, mean=-0.3021, std=3.299, absmax=14.94 +2025-11-04 13:19:39,038 ERROR: Encountered non-finite generator loss at iter 20613; skipping update. +2025-11-04 13:19:39,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:39,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.37, mean=-0.1368, std=2.882, absmax=12.37 +2025-11-04 13:19:39,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=10.57, mean=-0.1426, std=2.643, absmax=10.57 +2025-11-04 13:19:39,398 ERROR: Encountered non-finite generator loss at iter 20614; skipping update. +2025-11-04 13:19:39,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:39,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.29, mean=-0.1165, std=3.256, absmax=13.44 +2025-11-04 13:19:39,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=11.84, mean=-0.1164, std=3.045, absmax=13.1 +2025-11-04 13:19:39,759 ERROR: Encountered non-finite generator loss at iter 20615; skipping update. +2025-11-04 13:19:39,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:39,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:39,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.46, mean=-0.01537, std=2.863, absmax=12.46 +2025-11-04 13:19:39,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=11.63, mean=-0.0006697, std=2.705, absmax=11.63 +2025-11-04 13:19:40,120 ERROR: Encountered non-finite generator loss at iter 20616; skipping update. +2025-11-04 13:19:40,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:40,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.69, mean=-0.1779, std=2.528, absmax=12.69 +2025-11-04 13:19:40,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.552, max=10.54, mean=-0.1688, std=2.376, absmax=10.54 +2025-11-04 13:19:40,481 ERROR: Encountered non-finite generator loss at iter 20617; skipping update. +2025-11-04 13:19:40,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:40,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=14.99, mean=0.157, std=3.274, absmax=14.99 +2025-11-04 13:19:40,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=14.17, mean=0.1362, std=3.068, absmax=14.17 +2025-11-04 13:19:40,842 ERROR: Encountered non-finite generator loss at iter 20618; skipping update. +2025-11-04 13:19:40,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,844 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:40,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:40,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.97, mean=-0.03318, std=3.293, absmax=13.97 +2025-11-04 13:19:40,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.77, mean=-0.09881, std=3.095, absmax=12.77 +2025-11-04 13:19:41,201 ERROR: Encountered non-finite generator loss at iter 20619; skipping update. +2025-11-04 13:19:41,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:41,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.24, mean=-0.107, std=3.25, absmax=13.24 +2025-11-04 13:19:41,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=10.88, mean=-0.08405, std=2.957, absmax=12.16 +2025-11-04 13:19:41,561 ERROR: Encountered non-finite generator loss at iter 20620; skipping update. +2025-11-04 13:19:41,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:41,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=14.78, mean=-0.2104, std=3.008, absmax=14.78 +2025-11-04 13:19:41,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=12.41, mean=-0.2079, std=2.693, absmax=12.41 +2025-11-04 13:19:41,923 ERROR: Encountered non-finite generator loss at iter 20621; skipping update. +2025-11-04 13:19:41,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,925 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:41,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:41,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=13.05, mean=0.08839, std=3.248, absmax=13.05 +2025-11-04 13:19:41,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=12.31, mean=0.08282, std=2.95, absmax=12.31 +2025-11-04 13:19:42,282 ERROR: Encountered non-finite generator loss at iter 20622; skipping update. +2025-11-04 13:19:42,283 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:42,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:42,284 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:42,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:42,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.67, mean=-0.3669, std=2.882, absmax=13.67 +2025-11-04 13:19:42,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=11.55, mean=-0.3103, std=2.822, absmax=12.32 +2025-11-04 13:19:42,642 ERROR: Encountered non-finite generator loss at iter 20623; skipping update. +2025-11-04 13:19:42,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:42,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:42,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:42,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:42,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.99, mean=-0.261, std=2.788, absmax=12.99 +2025-11-04 13:19:42,646 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=11.86, mean=-0.2121, std=2.624, absmax=11.86 +2025-11-04 13:19:43,002 ERROR: Encountered non-finite generator loss at iter 20624; skipping update. +2025-11-04 13:19:43,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:43,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.83, mean=-0.1008, std=3.097, absmax=12.83 +2025-11-04 13:19:43,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=11.78, mean=-0.06764, std=2.811, absmax=11.78 +2025-11-04 13:19:43,362 ERROR: Encountered non-finite generator loss at iter 20625; skipping update. +2025-11-04 13:19:43,363 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,364 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,364 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:43,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.82, mean=-0.2202, std=3.111, absmax=13.82 +2025-11-04 13:19:43,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.92, mean=-0.1867, std=2.793, absmax=12.92 +2025-11-04 13:19:43,722 ERROR: Encountered non-finite generator loss at iter 20626; skipping update. +2025-11-04 13:19:43,723 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,724 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:43,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:43,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.24, mean=-0.1929, std=2.363, absmax=12.7 +2025-11-04 13:19:43,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=9.459, mean=-0.1542, std=2.181, absmax=11.31 +2025-11-04 13:19:44,082 ERROR: Encountered non-finite generator loss at iter 20627; skipping update. +2025-11-04 13:19:44,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:44,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.3, mean=-0.2152, std=2.59, absmax=13.3 +2025-11-04 13:19:44,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=11.08, mean=-0.1847, std=2.479, absmax=12.25 +2025-11-04 13:19:44,443 ERROR: Encountered non-finite generator loss at iter 20628; skipping update. +2025-11-04 13:19:44,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:44,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.74, mean=-0.07255, std=2.835, absmax=13.74 +2025-11-04 13:19:44,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=11.83, mean=-0.01869, std=2.622, absmax=11.83 +2025-11-04 13:19:44,803 ERROR: Encountered non-finite generator loss at iter 20629; skipping update. +2025-11-04 13:19:44,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:44,806 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:44,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=15.71, mean=-0.1069, std=3.023, absmax=15.71 +2025-11-04 13:19:44,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=15.22, mean=-0.06912, std=2.831, absmax=15.22 +2025-11-04 13:19:45,167 ERROR: Encountered non-finite generator loss at iter 20630; skipping update. +2025-11-04 13:19:45,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:45,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=16.24, mean=-0.05228, std=3.142, absmax=16.24 +2025-11-04 13:19:45,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=15.21, mean=-0.07811, std=2.856, absmax=15.21 +2025-11-04 13:19:45,527 ERROR: Encountered non-finite generator loss at iter 20631; skipping update. +2025-11-04 13:19:45,528 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,529 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,529 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:45,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=10.85, mean=-0.3877, std=3.162, absmax=12.39 +2025-11-04 13:19:45,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.05, mean=-0.3216, std=2.967, absmax=11.95 +2025-11-04 13:19:45,887 ERROR: Encountered non-finite generator loss at iter 20632; skipping update. +2025-11-04 13:19:45,888 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:45,889 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:45,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=10.6, mean=-0.2503, std=2.56, absmax=14.04 +2025-11-04 13:19:45,890 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=10.18, mean=-0.2561, std=2.492, absmax=13.76 +2025-11-04 13:19:46,247 ERROR: Encountered non-finite generator loss at iter 20633; skipping update. +2025-11-04 13:19:46,248 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,249 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,249 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:46,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=10.72, mean=-0.1621, std=2.576, absmax=10.73 +2025-11-04 13:19:46,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=9.799, mean=-0.1318, std=2.445, absmax=10.56 +2025-11-04 13:19:46,608 ERROR: Encountered non-finite generator loss at iter 20634; skipping update. +2025-11-04 13:19:46,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:46,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.86, mean=-0.3101, std=2.87, absmax=12.86 +2025-11-04 13:19:46,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=11.74, mean=-0.281, std=2.62, absmax=11.74 +2025-11-04 13:19:46,968 ERROR: Encountered non-finite generator loss at iter 20635; skipping update. +2025-11-04 13:19:46,970 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:46,971 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:46,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.64, mean=-0.01114, std=2.813, absmax=12.64 +2025-11-04 13:19:46,972 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=11.32, mean=-0.07669, std=2.562, absmax=11.32 +2025-11-04 13:19:47,329 ERROR: Encountered non-finite generator loss at iter 20636; skipping update. +2025-11-04 13:19:47,331 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:47,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:47,332 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:47,332 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:47,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.62, mean=-0.2164, std=3.475, absmax=13.94 +2025-11-04 13:19:47,333 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.87, mean=-0.1884, std=3.357, absmax=12.87 +2025-11-04 13:19:47,690 ERROR: Encountered non-finite generator loss at iter 20637; skipping update. +2025-11-04 13:19:47,691 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:47,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:47,692 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:47,692 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:47,693 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=11.29, mean=-0.283, std=2.612, absmax=11.29 +2025-11-04 13:19:47,694 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=9.147, mean=-0.2908, std=2.462, absmax=11.01 +2025-11-04 13:19:48,051 ERROR: Encountered non-finite generator loss at iter 20638; skipping update. +2025-11-04 13:19:48,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,054 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:48,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.09, mean=0.06631, std=3.268, absmax=12.83 +2025-11-04 13:19:48,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=11.35, mean=0.05319, std=2.971, absmax=11.81 +2025-11-04 13:19:48,411 ERROR: Encountered non-finite generator loss at iter 20639; skipping update. +2025-11-04 13:19:48,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,413 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,414 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:48,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=11.86, mean=-0.1057, std=2.622, absmax=12.16 +2025-11-04 13:19:48,415 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=9.928, mean=-0.09673, std=2.506, absmax=10.64 +2025-11-04 13:19:48,772 ERROR: Encountered non-finite generator loss at iter 20640; skipping update. +2025-11-04 13:19:48,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:48,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:48,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.47, mean=-0.2359, std=2.905, absmax=12.47 +2025-11-04 13:19:48,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.32, mean=-0.2203, std=2.591, absmax=11.32 +2025-11-04 13:19:49,133 ERROR: Encountered non-finite generator loss at iter 20641; skipping update. +2025-11-04 13:19:49,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:49,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.99, mean=-8.643e-05, std=3.516, absmax=13.99 +2025-11-04 13:19:49,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=12.52, mean=0.009238, std=3.153, absmax=12.52 +2025-11-04 13:19:49,495 ERROR: Encountered non-finite generator loss at iter 20642; skipping update. +2025-11-04 13:19:49,496 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,497 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:49,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12, mean=-0.3192, std=3.201, absmax=13.74 +2025-11-04 13:19:49,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=11.97, mean=-0.3242, std=3.041, absmax=12.68 +2025-11-04 13:19:49,856 ERROR: Encountered non-finite generator loss at iter 20643; skipping update. +2025-11-04 13:19:49,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:49,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:49,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=14.96, mean=-0.14, std=3.26, absmax=15.15 +2025-11-04 13:19:49,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.63, max=13.62, mean=-0.1139, std=3.025, absmax=13.63 +2025-11-04 13:19:50,218 ERROR: Encountered non-finite generator loss at iter 20644; skipping update. +2025-11-04 13:19:50,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:50,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.15, mean=-0.1184, std=2.835, absmax=12.34 +2025-11-04 13:19:50,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.51, mean=-0.07951, std=2.629, absmax=11.28 +2025-11-04 13:19:50,580 ERROR: Encountered non-finite generator loss at iter 20645; skipping update. +2025-11-04 13:19:50,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:50,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.27, mean=-0.208, std=3.059, absmax=13.31 +2025-11-04 13:19:50,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=11.69, mean=-0.1764, std=3.019, absmax=12.55 +2025-11-04 13:19:50,943 ERROR: Encountered non-finite generator loss at iter 20646; skipping update. +2025-11-04 13:19:50,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:50,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:50,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=13.43, mean=-0.08102, std=3.254, absmax=14.41 +2025-11-04 13:19:50,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.46, mean=-0.04463, std=2.955, absmax=13.03 +2025-11-04 13:19:51,302 ERROR: Encountered non-finite generator loss at iter 20647; skipping update. +2025-11-04 13:19:51,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:51,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:51,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:51,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:51,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.17, mean=-0.09901, std=3.151, absmax=13.29 +2025-11-04 13:19:51,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.21, mean=-0.06836, std=2.929, absmax=11.55 +2025-11-04 13:19:51,661 ERROR: Encountered non-finite generator loss at iter 20648; skipping update. +2025-11-04 13:19:51,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:51,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:51,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:51,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:51,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.78, mean=-0.06102, std=3.061, absmax=13.78 +2025-11-04 13:19:51,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.43, mean=-0.02823, std=2.665, absmax=12.43 +2025-11-04 13:19:52,022 ERROR: Encountered non-finite generator loss at iter 20649; skipping update. +2025-11-04 13:19:52,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:52,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.09, mean=-0.1574, std=3.149, absmax=13.84 +2025-11-04 13:19:52,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=10.12, mean=-0.1524, std=2.95, absmax=11.72 +2025-11-04 13:19:52,381 ERROR: Encountered non-finite generator loss at iter 20650; skipping update. +2025-11-04 13:19:52,382 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,382 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,383 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:52,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.24, mean=-0.02423, std=3.001, absmax=14.24 +2025-11-04 13:19:52,384 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=12.38, mean=-0.01494, std=2.786, absmax=12.91 +2025-11-04 13:19:52,740 ERROR: Encountered non-finite generator loss at iter 20651; skipping update. +2025-11-04 13:19:52,741 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,742 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:52,743 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:52,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=15.69, mean=0.08705, std=4.106, absmax=15.69 +2025-11-04 13:19:52,744 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=13.12, mean=0.06684, std=3.703, absmax=13.12 +2025-11-04 13:19:53,101 ERROR: Encountered non-finite generator loss at iter 20652; skipping update. +2025-11-04 13:19:53,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:53,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.46, mean=-0.2025, std=3.154, absmax=14 +2025-11-04 13:19:53,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.88, mean=-0.2284, std=3.063, absmax=12.03 +2025-11-04 13:19:53,461 ERROR: Encountered non-finite generator loss at iter 20653; skipping update. +2025-11-04 13:19:53,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,463 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:53,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.58, mean=-0.2283, std=2.822, absmax=12.58 +2025-11-04 13:19:53,464 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=10.15, mean=-0.204, std=2.64, absmax=11.75 +2025-11-04 13:19:53,821 ERROR: Encountered non-finite generator loss at iter 20654; skipping update. +2025-11-04 13:19:53,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:53,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:53,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.62, mean=-0.2561, std=2.977, absmax=12.62 +2025-11-04 13:19:53,824 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.71, mean=-0.2126, std=2.717, absmax=10.71 +2025-11-04 13:19:54,181 ERROR: Encountered non-finite generator loss at iter 20655; skipping update. +2025-11-04 13:19:54,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:54,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.71, max=12.91, mean=-0.3283, std=3.457, absmax=15.71 +2025-11-04 13:19:54,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.24, max=11.67, mean=-0.3293, std=3.221, absmax=14.24 +2025-11-04 13:19:54,541 ERROR: Encountered non-finite generator loss at iter 20656; skipping update. +2025-11-04 13:19:54,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,543 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:54,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=16.21, mean=0.2136, std=3.724, absmax=16.21 +2025-11-04 13:19:54,544 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=14.78, mean=0.2239, std=3.481, absmax=14.78 +2025-11-04 13:19:54,901 ERROR: Encountered non-finite generator loss at iter 20657; skipping update. +2025-11-04 13:19:54,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:54,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:54,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=14.42, mean=0.02344, std=3.356, absmax=15.17 +2025-11-04 13:19:54,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.45, max=13.51, mean=-0.01564, std=3.094, absmax=13.51 +2025-11-04 13:19:55,261 ERROR: Encountered non-finite generator loss at iter 20658; skipping update. +2025-11-04 13:19:55,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,262 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:55,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=11.67, mean=-0.06297, std=2.928, absmax=13.98 +2025-11-04 13:19:55,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=12.04, mean=-0.07257, std=2.606, absmax=12.04 +2025-11-04 13:19:55,621 ERROR: Encountered non-finite generator loss at iter 20659; skipping update. +2025-11-04 13:19:55,622 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:55,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=15.13, mean=0.07626, std=3.445, absmax=15.13 +2025-11-04 13:19:55,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=13.71, mean=0.09139, std=3.189, absmax=13.71 +2025-11-04 13:19:55,982 ERROR: Encountered non-finite generator loss at iter 20660; skipping update. +2025-11-04 13:19:55,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:55,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:55,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=14.82, mean=-0.1398, std=2.618, absmax=14.82 +2025-11-04 13:19:55,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=12.96, mean=-0.1798, std=2.613, absmax=12.96 +2025-11-04 13:19:56,341 ERROR: Encountered non-finite generator loss at iter 20661; skipping update. +2025-11-04 13:19:56,342 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:56,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:56,343 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:56,343 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:56,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.02, mean=-0.3088, std=3.466, absmax=13.19 +2025-11-04 13:19:56,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=10.97, mean=-0.2527, std=3.171, absmax=12.57 +2025-11-04 13:19:56,702 ERROR: Encountered non-finite generator loss at iter 20662; skipping update. +2025-11-04 13:19:56,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:56,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:56,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:56,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:56,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.98, max=16.9, mean=-0.2023, std=3.242, absmax=16.9 +2025-11-04 13:19:56,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.79, max=15.55, mean=-0.2115, std=3.037, absmax=15.55 +2025-11-04 13:19:57,061 ERROR: Encountered non-finite generator loss at iter 20663; skipping update. +2025-11-04 13:19:57,062 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,062 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,063 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:57,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=10.45, mean=-0.2833, std=2.58, absmax=11.68 +2025-11-04 13:19:57,064 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=8.904, mean=-0.2466, std=2.432, absmax=10.65 +2025-11-04 13:19:57,421 ERROR: Encountered non-finite generator loss at iter 20664; skipping update. +2025-11-04 13:19:57,422 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,423 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,423 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:57,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=16.31, mean=-0.09953, std=3.308, absmax=16.31 +2025-11-04 13:19:57,424 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=14.95, mean=-0.0497, std=3.028, absmax=14.95 +2025-11-04 13:19:57,781 ERROR: Encountered non-finite generator loss at iter 20665; skipping update. +2025-11-04 13:19:57,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:57,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:57,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=15.17, mean=-0.1711, std=2.937, absmax=15.17 +2025-11-04 13:19:57,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=13.39, mean=-0.167, std=2.728, absmax=13.39 +2025-11-04 13:19:58,141 ERROR: Encountered non-finite generator loss at iter 20666; skipping update. +2025-11-04 13:19:58,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:58,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.36, max=15.02, mean=-0.1051, std=2.882, absmax=16.36 +2025-11-04 13:19:58,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.05, max=13.08, mean=-0.07851, std=2.633, absmax=14.05 +2025-11-04 13:19:58,501 ERROR: Encountered non-finite generator loss at iter 20667; skipping update. +2025-11-04 13:19:58,502 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:58,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.76, mean=-0.1913, std=3.323, absmax=13.76 +2025-11-04 13:19:58,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=12.32, mean=-0.1202, std=3.13, absmax=12.71 +2025-11-04 13:19:58,861 ERROR: Encountered non-finite generator loss at iter 20668; skipping update. +2025-11-04 13:19:58,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,863 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:58,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:58,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=14.11, mean=-0.1401, std=3.51, absmax=14.11 +2025-11-04 13:19:58,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=13.51, mean=-0.1049, std=3.232, absmax=13.51 +2025-11-04 13:19:59,221 ERROR: Encountered non-finite generator loss at iter 20669; skipping update. +2025-11-04 13:19:59,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:59,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=15.22, mean=-0.07893, std=3.544, absmax=15.22 +2025-11-04 13:19:59,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=13.49, mean=-0.08408, std=3.229, absmax=13.49 +2025-11-04 13:19:59,580 ERROR: Encountered non-finite generator loss at iter 20670; skipping update. +2025-11-04 13:19:59,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:59,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.95, mean=-0.1517, std=2.819, absmax=12.58 +2025-11-04 13:19:59,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.6, mean=-0.1126, std=2.677, absmax=11.6 +2025-11-04 13:19:59,941 ERROR: Encountered non-finite generator loss at iter 20671; skipping update. +2025-11-04 13:19:59,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:19:59,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:19:59,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=13.21, mean=0.09581, std=3.35, absmax=13.21 +2025-11-04 13:19:59,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.09, mean=0.1283, std=3.181, absmax=12.09 +2025-11-04 13:20:00,301 ERROR: Encountered non-finite generator loss at iter 20672; skipping update. +2025-11-04 13:20:00,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:00,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:00,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:00,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:00,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.56, max=11.55, mean=-0.2546, std=2.976, absmax=15.56 +2025-11-04 13:20:00,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=10.28, mean=-0.2491, std=2.698, absmax=13.18 +2025-11-04 13:20:00,661 ERROR: Encountered non-finite generator loss at iter 20673; skipping update. +2025-11-04 13:20:00,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:00,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:00,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:00,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:00,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.87, mean=-0.09796, std=3.482, absmax=12.87 +2025-11-04 13:20:00,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=11.6, mean=-0.1452, std=3.255, absmax=11.87 +2025-11-04 13:20:01,023 ERROR: Encountered non-finite generator loss at iter 20674; skipping update. +2025-11-04 13:20:01,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:01,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.16, mean=-0.06679, std=2.997, absmax=13.68 +2025-11-04 13:20:01,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.14, max=11.68, mean=-0.06168, std=2.762, absmax=13.14 +2025-11-04 13:20:01,382 ERROR: Encountered non-finite generator loss at iter 20675; skipping update. +2025-11-04 13:20:01,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:01,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.15, max=14.66, mean=-0.0711, std=3.083, absmax=16.15 +2025-11-04 13:20:01,386 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.48, max=13.09, mean=-0.03941, std=2.861, absmax=13.48 +2025-11-04 13:20:01,742 ERROR: Encountered non-finite generator loss at iter 20676; skipping update. +2025-11-04 13:20:01,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:01,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:01,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=13.87, mean=-0.0297, std=3.344, absmax=14.54 +2025-11-04 13:20:01,745 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.54, mean=0.01281, std=3.126, absmax=12.3 +2025-11-04 13:20:02,101 ERROR: Encountered non-finite generator loss at iter 20677; skipping update. +2025-11-04 13:20:02,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:02,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=11.78, mean=-0.127, std=2.914, absmax=12.1 +2025-11-04 13:20:02,105 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=10.35, mean=-0.1212, std=2.712, absmax=11.21 +2025-11-04 13:20:02,461 ERROR: Encountered non-finite generator loss at iter 20678; skipping update. +2025-11-04 13:20:02,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:02,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.23, mean=-0.3559, std=2.89, absmax=13.25 +2025-11-04 13:20:02,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=11.05, mean=-0.3352, std=2.741, absmax=11.63 +2025-11-04 13:20:02,822 ERROR: Encountered non-finite generator loss at iter 20679; skipping update. +2025-11-04 13:20:02,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:02,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:02,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=12.76, mean=-0.1407, std=2.709, absmax=14.79 +2025-11-04 13:20:02,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.13, mean=-0.1542, std=2.531, absmax=12.76 +2025-11-04 13:20:03,182 ERROR: Encountered non-finite generator loss at iter 20680; skipping update. +2025-11-04 13:20:03,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:03,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.48, mean=0.04277, std=3.465, absmax=13.48 +2025-11-04 13:20:03,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.38, mean=0.06791, std=3.242, absmax=12.38 +2025-11-04 13:20:03,542 ERROR: Encountered non-finite generator loss at iter 20681; skipping update. +2025-11-04 13:20:03,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:03,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=12.5, mean=-0.1622, std=2.838, absmax=12.5 +2025-11-04 13:20:03,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.21, mean=-0.1587, std=2.665, absmax=11.21 +2025-11-04 13:20:03,901 ERROR: Encountered non-finite generator loss at iter 20682; skipping update. +2025-11-04 13:20:03,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:03,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:03,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.16, mean=0.09272, std=3.102, absmax=13.16 +2025-11-04 13:20:03,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=11.69, mean=0.1136, std=2.832, absmax=11.69 +2025-11-04 13:20:04,261 ERROR: Encountered non-finite generator loss at iter 20683; skipping update. +2025-11-04 13:20:04,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,263 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:04,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.41, mean=-0.1201, std=3.405, absmax=14.41 +2025-11-04 13:20:04,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=12.49, mean=-0.09917, std=3.164, absmax=12.88 +2025-11-04 13:20:04,621 ERROR: Encountered non-finite generator loss at iter 20684; skipping update. +2025-11-04 13:20:04,622 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,623 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:04,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=13.61, mean=-0.06505, std=3.115, absmax=13.66 +2025-11-04 13:20:04,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.26, mean=-0.1133, std=2.885, absmax=12.26 +2025-11-04 13:20:04,982 ERROR: Encountered non-finite generator loss at iter 20685; skipping update. +2025-11-04 13:20:04,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:04,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:04,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.47, mean=-0.1716, std=2.927, absmax=13.47 +2025-11-04 13:20:04,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.41, mean=-0.1413, std=2.734, absmax=11.74 +2025-11-04 13:20:05,342 ERROR: Encountered non-finite generator loss at iter 20686; skipping update. +2025-11-04 13:20:05,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:05,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:05,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:05,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:05,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=10.52, mean=-0.2686, std=2.369, absmax=11.15 +2025-11-04 13:20:05,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=9.069, mean=-0.2838, std=2.235, absmax=10.39 +2025-11-04 13:20:05,701 ERROR: Encountered non-finite generator loss at iter 20687; skipping update. +2025-11-04 13:20:05,702 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:05,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:05,703 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:05,703 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:05,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=12.12, mean=-0.1848, std=3.035, absmax=14.74 +2025-11-04 13:20:05,704 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=10.08, mean=-0.2133, std=2.721, absmax=13.85 +2025-11-04 13:20:06,060 ERROR: Encountered non-finite generator loss at iter 20688; skipping update. +2025-11-04 13:20:06,061 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,062 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,062 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:06,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.55, mean=-0.04905, std=2.611, absmax=11.55 +2025-11-04 13:20:06,063 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=10.7, mean=-0.06966, std=2.409, absmax=10.7 +2025-11-04 13:20:06,420 ERROR: Encountered non-finite generator loss at iter 20689; skipping update. +2025-11-04 13:20:06,421 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,422 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,422 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:06,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=10.3, mean=-0.3411, std=2.392, absmax=11.48 +2025-11-04 13:20:06,423 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=9.568, mean=-0.3006, std=2.313, absmax=11.01 +2025-11-04 13:20:06,780 ERROR: Encountered non-finite generator loss at iter 20690; skipping update. +2025-11-04 13:20:06,781 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,782 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:06,782 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:06,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.5, mean=-0.2322, std=2.985, absmax=13.54 +2025-11-04 13:20:06,783 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=11.51, mean=-0.2428, std=2.762, absmax=13.25 +2025-11-04 13:20:07,140 ERROR: Encountered non-finite generator loss at iter 20691; skipping update. +2025-11-04 13:20:07,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,142 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:07,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.5, mean=-0.1037, std=3.144, absmax=12.02 +2025-11-04 13:20:07,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=9.98, mean=-0.101, std=2.936, absmax=11.46 +2025-11-04 13:20:07,500 ERROR: Encountered non-finite generator loss at iter 20692; skipping update. +2025-11-04 13:20:07,502 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,502 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:07,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.44, mean=-0.0881, std=3.186, absmax=13.44 +2025-11-04 13:20:07,504 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=11.91, mean=-0.07656, std=2.938, absmax=11.98 +2025-11-04 13:20:07,861 ERROR: Encountered non-finite generator loss at iter 20693; skipping update. +2025-11-04 13:20:07,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,862 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:07,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:07,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=10.93, mean=-0.2255, std=2.492, absmax=11.67 +2025-11-04 13:20:07,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=10.2, mean=-0.1836, std=2.429, absmax=12.5 +2025-11-04 13:20:08,221 ERROR: Encountered non-finite generator loss at iter 20694; skipping update. +2025-11-04 13:20:08,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:08,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.45, mean=-0.1857, std=2.816, absmax=12.45 +2025-11-04 13:20:08,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=9.785, mean=-0.1782, std=2.564, absmax=11.54 +2025-11-04 13:20:08,580 ERROR: Encountered non-finite generator loss at iter 20695; skipping update. +2025-11-04 13:20:08,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:08,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.79, max=19.5, mean=0.1487, std=3.531, absmax=19.5 +2025-11-04 13:20:08,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=14.01, mean=0.1435, std=3.219, absmax=14.01 +2025-11-04 13:20:08,941 ERROR: Encountered non-finite generator loss at iter 20696; skipping update. +2025-11-04 13:20:08,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:08,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:08,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.6, mean=-0.1649, std=2.91, absmax=12.68 +2025-11-04 13:20:08,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=10.06, mean=-0.1936, std=2.797, absmax=12.22 +2025-11-04 13:20:09,301 ERROR: Encountered non-finite generator loss at iter 20697; skipping update. +2025-11-04 13:20:09,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:09,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:09,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:09,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:09,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=11.85, mean=-0.375, std=3.149, absmax=14 +2025-11-04 13:20:09,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=11.15, mean=-0.3225, std=2.962, absmax=12.54 +2025-11-04 13:20:09,662 ERROR: Encountered non-finite generator loss at iter 20698; skipping update. +2025-11-04 13:20:09,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:09,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:09,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:09,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:09,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.05, mean=-0.2333, std=2.745, absmax=12.2 +2025-11-04 13:20:09,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=9.356, mean=-0.236, std=2.541, absmax=10.94 +2025-11-04 13:20:10,022 ERROR: Encountered non-finite generator loss at iter 20699; skipping update. +2025-11-04 13:20:10,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:10,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.01, mean=-0.04466, std=2.917, absmax=14.01 +2025-11-04 13:20:10,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.78, mean=-0.05976, std=2.656, absmax=11.78 +2025-11-04 13:20:10,382 ERROR: Encountered non-finite generator loss at iter 20700; skipping update. +2025-11-04 13:20:10,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:10,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=12.5, mean=-0.1005, std=2.901, absmax=12.5 +2025-11-04 13:20:10,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=10.56, mean=-0.08855, std=2.647, absmax=10.56 +2025-11-04 13:20:10,386 INFO: [38..][epoch: 0, step: 20,700, lr:(2.000e-04,)] [eta: 1 day, 7:59:19, time (data): 0.361 (0.000)] +2025-11-04 13:20:10,742 ERROR: Encountered non-finite generator loss at iter 20701; skipping update. +2025-11-04 13:20:10,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:10,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:10,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=11.61, mean=-0.3172, std=3.169, absmax=13.78 +2025-11-04 13:20:10,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=11.46, mean=-0.2423, std=2.949, absmax=12.88 +2025-11-04 13:20:11,103 ERROR: Encountered non-finite generator loss at iter 20702; skipping update. +2025-11-04 13:20:11,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:11,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.2, mean=-0.1903, std=2.794, absmax=13.18 +2025-11-04 13:20:11,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=9.112, mean=-0.139, std=2.609, absmax=13.7 +2025-11-04 13:20:11,462 ERROR: Encountered non-finite generator loss at iter 20703; skipping update. +2025-11-04 13:20:11,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,464 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:11,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=14.56, mean=-0.03628, std=3.477, absmax=14.56 +2025-11-04 13:20:11,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=13.18, mean=-0.03587, std=3.131, absmax=13.18 +2025-11-04 13:20:11,822 ERROR: Encountered non-finite generator loss at iter 20704; skipping update. +2025-11-04 13:20:11,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:11,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:11,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=11.56, mean=-0.1763, std=2.99, absmax=14.41 +2025-11-04 13:20:11,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.78, max=10.33, mean=-0.09999, std=2.839, absmax=13.78 +2025-11-04 13:20:12,181 ERROR: Encountered non-finite generator loss at iter 20705; skipping update. +2025-11-04 13:20:12,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:12,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.34, mean=-0.2602, std=3.29, absmax=13.98 +2025-11-04 13:20:12,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=11.9, mean=-0.2835, std=3.122, absmax=12.7 +2025-11-04 13:20:12,542 ERROR: Encountered non-finite generator loss at iter 20706; skipping update. +2025-11-04 13:20:12,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:12,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.54, mean=-0.1809, std=3.109, absmax=12.54 +2025-11-04 13:20:12,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=11.09, mean=-0.1337, std=2.809, absmax=11.09 +2025-11-04 13:20:12,903 ERROR: Encountered non-finite generator loss at iter 20707; skipping update. +2025-11-04 13:20:12,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:12,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:12,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=13.71, mean=-0.1818, std=3.564, absmax=14.59 +2025-11-04 13:20:12,906 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=11.9, mean=-0.1565, std=3.354, absmax=13.4 +2025-11-04 13:20:13,262 ERROR: Encountered non-finite generator loss at iter 20708; skipping update. +2025-11-04 13:20:13,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:13,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=15.45, mean=-0.09707, std=3.187, absmax=15.45 +2025-11-04 13:20:13,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.86, max=12.8, mean=-0.06549, std=3.082, absmax=13.86 +2025-11-04 13:20:13,622 ERROR: Encountered non-finite generator loss at iter 20709; skipping update. +2025-11-04 13:20:13,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:13,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.36, mean=-0.2158, std=3.387, absmax=14.34 +2025-11-04 13:20:13,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=11.42, mean=-0.1887, std=3.202, absmax=12.08 +2025-11-04 13:20:13,983 ERROR: Encountered non-finite generator loss at iter 20710; skipping update. +2025-11-04 13:20:13,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:13,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:13,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=14.07, mean=-0.1377, std=2.911, absmax=15.23 +2025-11-04 13:20:13,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=11.22, mean=-0.09193, std=2.664, absmax=11.93 +2025-11-04 13:20:14,343 ERROR: Encountered non-finite generator loss at iter 20711; skipping update. +2025-11-04 13:20:14,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:14,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:14,345 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:14,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:14,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=14.61, mean=0.00987, std=2.986, absmax=14.61 +2025-11-04 13:20:14,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=13.18, mean=-0.02311, std=2.686, absmax=13.18 +2025-11-04 13:20:14,703 ERROR: Encountered non-finite generator loss at iter 20712; skipping update. +2025-11-04 13:20:14,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:14,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:14,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:14,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:14,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.73, mean=-0.2765, std=2.282, absmax=11.73 +2025-11-04 13:20:14,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=9.529, mean=-0.2921, std=2.245, absmax=10.95 +2025-11-04 13:20:15,062 ERROR: Encountered non-finite generator loss at iter 20713; skipping update. +2025-11-04 13:20:15,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:15,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.93, mean=-0.1422, std=2.888, absmax=12.41 +2025-11-04 13:20:15,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=9.967, mean=-0.1468, std=2.742, absmax=11.89 +2025-11-04 13:20:15,422 ERROR: Encountered non-finite generator loss at iter 20714; skipping update. +2025-11-04 13:20:15,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:15,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.91, mean=-0.06289, std=3.348, absmax=14.91 +2025-11-04 13:20:15,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=14.25, mean=-0.02904, std=3.157, absmax=14.25 +2025-11-04 13:20:15,781 ERROR: Encountered non-finite generator loss at iter 20715; skipping update. +2025-11-04 13:20:15,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:15,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:15,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.58, mean=-0.3233, std=3.376, absmax=13.93 +2025-11-04 13:20:15,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.15, max=10.13, mean=-0.3438, std=3.121, absmax=14.15 +2025-11-04 13:20:16,141 ERROR: Encountered non-finite generator loss at iter 20716; skipping update. +2025-11-04 13:20:16,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:16,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.9, mean=-0.1338, std=3.12, absmax=13.03 +2025-11-04 13:20:16,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.93, mean=-0.1072, std=2.947, absmax=11.93 +2025-11-04 13:20:16,501 ERROR: Encountered non-finite generator loss at iter 20717; skipping update. +2025-11-04 13:20:16,502 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:16,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=10.74, mean=-0.2493, std=2.64, absmax=12.46 +2025-11-04 13:20:16,504 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.19, mean=-0.2501, std=2.49, absmax=11.65 +2025-11-04 13:20:16,861 ERROR: Encountered non-finite generator loss at iter 20718; skipping update. +2025-11-04 13:20:16,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,863 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:16,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:16,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.11, mean=0.03449, std=3.093, absmax=13.55 +2025-11-04 13:20:16,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=11.62, mean=0.04831, std=2.854, absmax=11.62 +2025-11-04 13:20:17,221 ERROR: Encountered non-finite generator loss at iter 20719; skipping update. +2025-11-04 13:20:17,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:17,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.46, mean=-0.2836, std=2.831, absmax=13.57 +2025-11-04 13:20:17,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=9.799, mean=-0.306, std=2.687, absmax=13.37 +2025-11-04 13:20:17,581 ERROR: Encountered non-finite generator loss at iter 20720; skipping update. +2025-11-04 13:20:17,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:17,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=12.65, mean=-0.3042, std=3.188, absmax=14.05 +2025-11-04 13:20:17,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.21, mean=-0.2966, std=2.973, absmax=12.34 +2025-11-04 13:20:17,941 ERROR: Encountered non-finite generator loss at iter 20721; skipping update. +2025-11-04 13:20:17,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:17,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:17,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=13.57, mean=0.01327, std=3.067, absmax=13.57 +2025-11-04 13:20:17,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=12.19, mean=0.006204, std=2.855, absmax=12.19 +2025-11-04 13:20:18,301 ERROR: Encountered non-finite generator loss at iter 20722; skipping update. +2025-11-04 13:20:18,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:18,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:18,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:18,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:18,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=13.77, mean=-0.04401, std=2.951, absmax=13.77 +2025-11-04 13:20:18,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=12.2, mean=-0.06054, std=2.697, absmax=12.2 +2025-11-04 13:20:18,661 ERROR: Encountered non-finite generator loss at iter 20723; skipping update. +2025-11-04 13:20:18,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:18,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:18,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:18,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:18,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=10.04, mean=-0.2687, std=2.862, absmax=13.22 +2025-11-04 13:20:18,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.721, mean=-0.2324, std=2.726, absmax=11.27 +2025-11-04 13:20:19,021 ERROR: Encountered non-finite generator loss at iter 20724; skipping update. +2025-11-04 13:20:19,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,023 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:19,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.41, mean=-0.02946, std=2.844, absmax=14.41 +2025-11-04 13:20:19,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=12.32, mean=-0.03747, std=2.603, absmax=13 +2025-11-04 13:20:19,382 ERROR: Encountered non-finite generator loss at iter 20725; skipping update. +2025-11-04 13:20:19,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:19,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.19, mean=-0.2306, std=3.24, absmax=13.19 +2025-11-04 13:20:19,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=11.53, mean=-0.2499, std=3.209, absmax=11.99 +2025-11-04 13:20:19,742 ERROR: Encountered non-finite generator loss at iter 20726; skipping update. +2025-11-04 13:20:19,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:19,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:19,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.11, mean=-0.2085, std=2.959, absmax=12.4 +2025-11-04 13:20:19,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=9.082, mean=-0.2309, std=2.718, absmax=11.3 +2025-11-04 13:20:20,102 ERROR: Encountered non-finite generator loss at iter 20727; skipping update. +2025-11-04 13:20:20,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,104 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:20,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=13.21, mean=-0.1685, std=3.406, absmax=15.18 +2025-11-04 13:20:20,105 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=12.01, mean=-0.1619, std=3.03, absmax=12.16 +2025-11-04 13:20:20,461 ERROR: Encountered non-finite generator loss at iter 20728; skipping update. +2025-11-04 13:20:20,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:20,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.09, mean=-0.08181, std=3.056, absmax=12.09 +2025-11-04 13:20:20,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.29, mean=-0.08312, std=2.846, absmax=11.29 +2025-11-04 13:20:20,821 ERROR: Encountered non-finite generator loss at iter 20729; skipping update. +2025-11-04 13:20:20,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:20,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:20,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.45, mean=-0.2163, std=2.839, absmax=11.93 +2025-11-04 13:20:20,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=10.52, mean=-0.2007, std=2.652, absmax=10.52 +2025-11-04 13:20:21,181 ERROR: Encountered non-finite generator loss at iter 20730; skipping update. +2025-11-04 13:20:21,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:21,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=11.03, mean=-0.2401, std=3.037, absmax=14.01 +2025-11-04 13:20:21,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=9.944, mean=-0.2514, std=2.865, absmax=12.48 +2025-11-04 13:20:21,541 ERROR: Encountered non-finite generator loss at iter 20731; skipping update. +2025-11-04 13:20:21,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,543 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:21,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.78, mean=-0.241, std=2.954, absmax=13.18 +2025-11-04 13:20:21,544 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=11.66, mean=-0.2442, std=2.839, absmax=12.8 +2025-11-04 13:20:21,900 ERROR: Encountered non-finite generator loss at iter 20732; skipping update. +2025-11-04 13:20:21,901 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,902 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:21,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:21,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=15.05, mean=-0.001917, std=2.957, absmax=15.05 +2025-11-04 13:20:21,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=14.67, mean=0.002537, std=2.826, absmax=14.67 +2025-11-04 13:20:22,260 ERROR: Encountered non-finite generator loss at iter 20733; skipping update. +2025-11-04 13:20:22,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,262 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:22,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.12, mean=0.002816, std=3.075, absmax=12.24 +2025-11-04 13:20:22,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.68, mean=0.03719, std=2.893, absmax=11.96 +2025-11-04 13:20:22,620 ERROR: Encountered non-finite generator loss at iter 20734; skipping update. +2025-11-04 13:20:22,621 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,622 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,623 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:22,623 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.41, mean=-0.2085, std=2.961, absmax=13.41 +2025-11-04 13:20:22,624 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=11.79, mean=-0.1884, std=2.696, absmax=11.79 +2025-11-04 13:20:22,980 ERROR: Encountered non-finite generator loss at iter 20735; skipping update. +2025-11-04 13:20:22,981 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,982 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:22,982 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:22,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.28, mean=-0.1191, std=2.768, absmax=12.89 +2025-11-04 13:20:22,983 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=10.44, mean=-0.1322, std=2.511, absmax=12.14 +2025-11-04 13:20:23,340 ERROR: Encountered non-finite generator loss at iter 20736; skipping update. +2025-11-04 13:20:23,341 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:23,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:23,342 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:23,342 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:23,343 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=10.34, mean=-0.3441, std=2.749, absmax=12.54 +2025-11-04 13:20:23,343 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=8.813, mean=-0.3073, std=2.575, absmax=11.5 +2025-11-04 13:20:23,700 ERROR: Encountered non-finite generator loss at iter 20737; skipping update. +2025-11-04 13:20:23,701 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:23,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:23,702 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:23,703 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:23,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=10.93, mean=-0.2189, std=2.28, absmax=11.18 +2025-11-04 13:20:23,704 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.853, max=8.51, mean=-0.2172, std=2.094, absmax=9.853 +2025-11-04 13:20:24,060 ERROR: Encountered non-finite generator loss at iter 20738; skipping update. +2025-11-04 13:20:24,061 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,062 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,062 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:24,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.95, mean=-0.3034, std=3.33, absmax=12.95 +2025-11-04 13:20:24,063 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=11.15, mean=-0.2947, std=3.051, absmax=11.72 +2025-11-04 13:20:24,420 ERROR: Encountered non-finite generator loss at iter 20739; skipping update. +2025-11-04 13:20:24,421 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,422 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,422 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:24,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.89, max=15.1, mean=-0.005337, std=3.208, absmax=15.89 +2025-11-04 13:20:24,424 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.6, max=14.74, mean=-0.009028, std=3.056, absmax=14.74 +2025-11-04 13:20:24,780 ERROR: Encountered non-finite generator loss at iter 20740; skipping update. +2025-11-04 13:20:24,781 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,782 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:24,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:24,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.42, mean=0.01313, std=3.492, absmax=13.75 +2025-11-04 13:20:24,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=13.21, mean=-0.02019, std=3.321, absmax=13.21 +2025-11-04 13:20:25,140 ERROR: Encountered non-finite generator loss at iter 20741; skipping update. +2025-11-04 13:20:25,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,142 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:25,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.76, mean=0.05295, std=3.011, absmax=13.76 +2025-11-04 13:20:25,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=11.83, mean=0.06015, std=2.771, absmax=11.83 +2025-11-04 13:20:25,500 ERROR: Encountered non-finite generator loss at iter 20742; skipping update. +2025-11-04 13:20:25,501 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,502 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,502 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:25,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.08, mean=-0.2409, std=3.124, absmax=13.3 +2025-11-04 13:20:25,504 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=10.43, mean=-0.1954, std=2.849, absmax=12.26 +2025-11-04 13:20:25,860 ERROR: Encountered non-finite generator loss at iter 20743; skipping update. +2025-11-04 13:20:25,861 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,862 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:25,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:25,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12.86, mean=-0.1782, std=2.964, absmax=12.86 +2025-11-04 13:20:25,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=13.56, mean=-0.1359, std=2.858, absmax=13.56 +2025-11-04 13:20:26,221 ERROR: Encountered non-finite generator loss at iter 20744; skipping update. +2025-11-04 13:20:26,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,222 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:26,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.11, mean=-0.2099, std=3.12, absmax=13.37 +2025-11-04 13:20:26,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=12.69, mean=-0.1896, std=2.882, absmax=12.69 +2025-11-04 13:20:26,580 ERROR: Encountered non-finite generator loss at iter 20745; skipping update. +2025-11-04 13:20:26,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:26,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=15.42, mean=-0.3503, std=2.85, absmax=15.76 +2025-11-04 13:20:26,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=13.56, mean=-0.3285, std=2.659, absmax=13.56 +2025-11-04 13:20:26,940 ERROR: Encountered non-finite generator loss at iter 20746; skipping update. +2025-11-04 13:20:26,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:26,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:26,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=12.32, mean=-0.1544, std=3.273, absmax=14.02 +2025-11-04 13:20:26,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=10.08, mean=-0.1412, std=2.971, absmax=12.65 +2025-11-04 13:20:27,301 ERROR: Encountered non-finite generator loss at iter 20747; skipping update. +2025-11-04 13:20:27,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:27,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:27,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:27,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:27,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=14.22, mean=0.05355, std=3.413, absmax=14.36 +2025-11-04 13:20:27,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=13.71, mean=0.05955, std=3.232, absmax=13.71 +2025-11-04 13:20:27,661 ERROR: Encountered non-finite generator loss at iter 20748; skipping update. +2025-11-04 13:20:27,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:27,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:27,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:27,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:27,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.5, mean=-0.1284, std=2.96, absmax=14.5 +2025-11-04 13:20:27,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=13.18, mean=-0.1114, std=2.731, absmax=13.18 +2025-11-04 13:20:28,021 ERROR: Encountered non-finite generator loss at iter 20749; skipping update. +2025-11-04 13:20:28,022 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,023 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,023 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:28,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=13.53, mean=0.1405, std=4.034, absmax=15.04 +2025-11-04 13:20:28,024 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=13.99, mean=0.1128, std=3.738, absmax=13.99 +2025-11-04 13:20:28,381 ERROR: Encountered non-finite generator loss at iter 20750; skipping update. +2025-11-04 13:20:28,382 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,383 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,383 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:28,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=12.68, mean=-0.1971, std=2.684, absmax=12.68 +2025-11-04 13:20:28,384 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=12.03, mean=-0.1473, std=2.6, absmax=12.03 +2025-11-04 13:20:28,741 ERROR: Encountered non-finite generator loss at iter 20751; skipping update. +2025-11-04 13:20:28,742 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,743 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:28,743 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:28,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.52, max=14.23, mean=0.01412, std=3.627, absmax=15.52 +2025-11-04 13:20:28,744 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.48, max=13.14, mean=0.03537, std=3.303, absmax=14.48 +2025-11-04 13:20:29,101 ERROR: Encountered non-finite generator loss at iter 20752; skipping update. +2025-11-04 13:20:29,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:29,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=9.154, mean=-0.3348, std=2.498, absmax=12 +2025-11-04 13:20:29,105 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=8.034, mean=-0.3101, std=2.337, absmax=11.25 +2025-11-04 13:20:29,461 ERROR: Encountered non-finite generator loss at iter 20753; skipping update. +2025-11-04 13:20:29,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:29,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=12.1, mean=-0.1054, std=3.392, absmax=14.46 +2025-11-04 13:20:29,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=11.76, mean=-0.1079, std=3.178, absmax=12.47 +2025-11-04 13:20:29,822 ERROR: Encountered non-finite generator loss at iter 20754; skipping update. +2025-11-04 13:20:29,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:29,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:29,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.74, mean=-0.161, std=3.475, absmax=13.34 +2025-11-04 13:20:29,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.59, mean=-0.156, std=3.142, absmax=12.03 +2025-11-04 13:20:30,185 ERROR: Encountered non-finite generator loss at iter 20755; skipping update. +2025-11-04 13:20:30,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:30,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=11.8, mean=-0.1199, std=2.907, absmax=13.39 +2025-11-04 13:20:30,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=11.46, mean=-0.1274, std=2.719, absmax=11.46 +2025-11-04 13:20:30,545 ERROR: Encountered non-finite generator loss at iter 20756; skipping update. +2025-11-04 13:20:30,546 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,547 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:30,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=13.07, mean=-0.2294, std=2.796, absmax=13.07 +2025-11-04 13:20:30,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=10.89, mean=-0.2092, std=2.574, absmax=10.89 +2025-11-04 13:20:30,904 ERROR: Encountered non-finite generator loss at iter 20757; skipping update. +2025-11-04 13:20:30,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:30,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:30,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14.9, mean=0.1323, std=3.314, absmax=14.9 +2025-11-04 13:20:30,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=14.39, mean=0.1324, std=3.089, absmax=14.39 +2025-11-04 13:20:31,263 ERROR: Encountered non-finite generator loss at iter 20758; skipping update. +2025-11-04 13:20:31,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:31,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.55, mean=-0.1008, std=3.124, absmax=13.54 +2025-11-04 13:20:31,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=10.92, mean=-0.0977, std=2.875, absmax=12.3 +2025-11-04 13:20:31,628 ERROR: Encountered non-finite generator loss at iter 20759; skipping update. +2025-11-04 13:20:31,630 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,631 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,631 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:31,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=10.75, mean=-0.07436, std=2.671, absmax=12.52 +2025-11-04 13:20:31,632 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=10.18, mean=-0.09029, std=2.563, absmax=11 +2025-11-04 13:20:31,990 ERROR: Encountered non-finite generator loss at iter 20760; skipping update. +2025-11-04 13:20:31,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:31,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:31,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.29, mean=-0.3019, std=2.859, absmax=13.22 +2025-11-04 13:20:31,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=13.77, mean=-0.2429, std=2.931, absmax=13.77 +2025-11-04 13:20:32,351 ERROR: Encountered non-finite generator loss at iter 20761; skipping update. +2025-11-04 13:20:32,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:32,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:32,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:32,353 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:32,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.05, max=14.49, mean=-0.1541, std=3.307, absmax=19.05 +2025-11-04 13:20:32,354 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.99, max=12.5, mean=-0.1561, std=3.055, absmax=16.99 +2025-11-04 13:20:32,710 ERROR: Encountered non-finite generator loss at iter 20762; skipping update. +2025-11-04 13:20:32,712 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:32,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:32,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:32,713 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:32,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.92, max=14.55, mean=-0.04993, std=3.576, absmax=15.92 +2025-11-04 13:20:32,714 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.56, max=13.62, mean=-0.027, std=3.321, absmax=14.56 +2025-11-04 13:20:33,071 ERROR: Encountered non-finite generator loss at iter 20763; skipping update. +2025-11-04 13:20:33,072 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,073 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,073 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:33,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.24, mean=-0.2103, std=3.126, absmax=14.24 +2025-11-04 13:20:33,074 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.81, mean=-0.1823, std=2.839, absmax=12.81 +2025-11-04 13:20:33,431 ERROR: Encountered non-finite generator loss at iter 20764; skipping update. +2025-11-04 13:20:33,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:33,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.61, mean=-0.3151, std=2.742, absmax=12.7 +2025-11-04 13:20:33,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=9.702, mean=-0.2616, std=2.631, absmax=12.35 +2025-11-04 13:20:33,792 ERROR: Encountered non-finite generator loss at iter 20765; skipping update. +2025-11-04 13:20:33,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:33,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:33,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=15.47, mean=-0.174, std=2.862, absmax=15.47 +2025-11-04 13:20:33,795 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=13.12, mean=-0.1653, std=2.625, absmax=13.12 +2025-11-04 13:20:34,152 ERROR: Encountered non-finite generator loss at iter 20766; skipping update. +2025-11-04 13:20:34,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:34,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.67, max=12.7, mean=-0.3263, std=3.153, absmax=15.67 +2025-11-04 13:20:34,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.25, max=12.2, mean=-0.3463, std=3.081, absmax=14.25 +2025-11-04 13:20:34,512 ERROR: Encountered non-finite generator loss at iter 20767; skipping update. +2025-11-04 13:20:34,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:34,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=16.43, mean=0.08118, std=3.698, absmax=16.43 +2025-11-04 13:20:34,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=14.35, mean=0.03378, std=3.389, absmax=14.35 +2025-11-04 13:20:34,872 ERROR: Encountered non-finite generator loss at iter 20768; skipping update. +2025-11-04 13:20:34,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:34,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:34,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.68, mean=-0.05468, std=2.664, absmax=11.74 +2025-11-04 13:20:34,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.848, max=10.81, mean=-0.05627, std=2.499, absmax=10.81 +2025-11-04 13:20:35,235 ERROR: Encountered non-finite generator loss at iter 20769; skipping update. +2025-11-04 13:20:35,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:35,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.62, mean=-0.2399, std=2.962, absmax=13.75 +2025-11-04 13:20:35,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.16, mean=-0.2136, std=2.848, absmax=12.16 +2025-11-04 13:20:35,595 ERROR: Encountered non-finite generator loss at iter 20770; skipping update. +2025-11-04 13:20:35,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:35,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.83, mean=-0.2527, std=2.888, absmax=12.31 +2025-11-04 13:20:35,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=11.19, mean=-0.2778, std=2.695, absmax=11.24 +2025-11-04 13:20:35,955 ERROR: Encountered non-finite generator loss at iter 20771; skipping update. +2025-11-04 13:20:35,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:35,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:35,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.13, mean=-0.009586, std=3.388, absmax=14.13 +2025-11-04 13:20:35,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=13.44, mean=0.002888, std=3.195, absmax=13.44 +2025-11-04 13:20:36,315 ERROR: Encountered non-finite generator loss at iter 20772; skipping update. +2025-11-04 13:20:36,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:36,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:36,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:36,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:36,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.8, mean=-0.1125, std=3.093, absmax=13.33 +2025-11-04 13:20:36,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=11.56, mean=-0.1041, std=2.875, absmax=12.84 +2025-11-04 13:20:36,675 ERROR: Encountered non-finite generator loss at iter 20773; skipping update. +2025-11-04 13:20:36,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:36,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:36,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:36,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:36,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.27, mean=-0.03027, std=2.561, absmax=12.58 +2025-11-04 13:20:36,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.31, max=10.78, mean=-0.032, std=2.354, absmax=10.78 +2025-11-04 13:20:37,035 ERROR: Encountered non-finite generator loss at iter 20774; skipping update. +2025-11-04 13:20:37,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:37,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.61, mean=-0.03408, std=3.151, absmax=13.1 +2025-11-04 13:20:37,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=9.431, mean=-0.07582, std=2.937, absmax=12.36 +2025-11-04 13:20:37,395 ERROR: Encountered non-finite generator loss at iter 20775; skipping update. +2025-11-04 13:20:37,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:37,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.29, mean=-0.06233, std=3.396, absmax=15.29 +2025-11-04 13:20:37,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=11.7, mean=-0.0376, std=3.189, absmax=11.7 +2025-11-04 13:20:37,755 ERROR: Encountered non-finite generator loss at iter 20776; skipping update. +2025-11-04 13:20:37,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:37,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:37,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.29, mean=-0.1254, std=2.332, absmax=11.82 +2025-11-04 13:20:37,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.24, mean=-0.1432, std=2.133, absmax=11.24 +2025-11-04 13:20:38,116 ERROR: Encountered non-finite generator loss at iter 20777; skipping update. +2025-11-04 13:20:38,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:38,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.96, mean=-0.1856, std=3.04, absmax=13.5 +2025-11-04 13:20:38,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=10.17, mean=-0.1403, std=2.743, absmax=10.86 +2025-11-04 13:20:38,475 ERROR: Encountered non-finite generator loss at iter 20778; skipping update. +2025-11-04 13:20:38,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:38,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.29, mean=-0.2977, std=2.821, absmax=14.29 +2025-11-04 13:20:38,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=13.41, mean=-0.2886, std=2.617, absmax=13.41 +2025-11-04 13:20:38,835 ERROR: Encountered non-finite generator loss at iter 20779; skipping update. +2025-11-04 13:20:38,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:38,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:38,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.94, mean=-0.1779, std=3.016, absmax=12.22 +2025-11-04 13:20:38,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=11.06, mean=-0.2001, std=2.839, absmax=11.11 +2025-11-04 13:20:39,195 ERROR: Encountered non-finite generator loss at iter 20780; skipping update. +2025-11-04 13:20:39,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:39,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=13.09, mean=-0.08662, std=3.125, absmax=14.69 +2025-11-04 13:20:39,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.64, max=11.68, mean=-0.1104, std=2.884, absmax=13.64 +2025-11-04 13:20:39,555 ERROR: Encountered non-finite generator loss at iter 20781; skipping update. +2025-11-04 13:20:39,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:39,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.59, max=13.54, mean=-0.3074, std=3.506, absmax=15.59 +2025-11-04 13:20:39,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=11.15, mean=-0.2514, std=3.29, absmax=13.42 +2025-11-04 13:20:39,915 ERROR: Encountered non-finite generator loss at iter 20782; skipping update. +2025-11-04 13:20:39,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:39,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:39,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=11.81, mean=-0.002239, std=2.857, absmax=13.53 +2025-11-04 13:20:39,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=11.62, mean=-0.002211, std=2.718, absmax=11.62 +2025-11-04 13:20:40,275 ERROR: Encountered non-finite generator loss at iter 20783; skipping update. +2025-11-04 13:20:40,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:40,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=11.58, mean=-0.09707, std=2.884, absmax=11.58 +2025-11-04 13:20:40,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=10.72, mean=-0.1092, std=2.624, absmax=10.72 +2025-11-04 13:20:40,635 ERROR: Encountered non-finite generator loss at iter 20784; skipping update. +2025-11-04 13:20:40,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:40,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=15.81, mean=-0.2255, std=2.946, absmax=15.81 +2025-11-04 13:20:40,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=12.46, mean=-0.2275, std=2.823, absmax=12.46 +2025-11-04 13:20:40,996 ERROR: Encountered non-finite generator loss at iter 20785; skipping update. +2025-11-04 13:20:40,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:40,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:40,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.17, mean=-0.3255, std=3.193, absmax=13.88 +2025-11-04 13:20:40,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=9.986, mean=-0.3379, std=3.004, absmax=13.25 +2025-11-04 13:20:41,356 ERROR: Encountered non-finite generator loss at iter 20786; skipping update. +2025-11-04 13:20:41,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:41,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:41,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:41,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:41,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=13.85, mean=-0.3375, std=3.236, absmax=13.85 +2025-11-04 13:20:41,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=12.59, mean=-0.3166, std=3.004, absmax=12.59 +2025-11-04 13:20:41,716 ERROR: Encountered non-finite generator loss at iter 20787; skipping update. +2025-11-04 13:20:41,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:41,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:41,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:41,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:41,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=13.29, mean=-0.1754, std=3.348, absmax=14.23 +2025-11-04 13:20:41,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.68, max=11.94, mean=-0.1478, std=3.112, absmax=14.68 +2025-11-04 13:20:42,076 ERROR: Encountered non-finite generator loss at iter 20788; skipping update. +2025-11-04 13:20:42,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:42,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=15.23, mean=-0.2088, std=2.79, absmax=15.23 +2025-11-04 13:20:42,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=13.08, mean=-0.1818, std=2.641, absmax=13.08 +2025-11-04 13:20:42,437 ERROR: Encountered non-finite generator loss at iter 20789; skipping update. +2025-11-04 13:20:42,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:42,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.52, mean=-0.1773, std=2.639, absmax=12.52 +2025-11-04 13:20:42,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=10.78, mean=-0.1701, std=2.471, absmax=10.78 +2025-11-04 13:20:42,797 ERROR: Encountered non-finite generator loss at iter 20790; skipping update. +2025-11-04 13:20:42,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:42,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:42,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.06, mean=-0.2735, std=2.529, absmax=14.09 +2025-11-04 13:20:42,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=10.22, mean=-0.2671, std=2.356, absmax=10.77 +2025-11-04 13:20:43,156 ERROR: Encountered non-finite generator loss at iter 20791; skipping update. +2025-11-04 13:20:43,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:43,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.27, mean=0.02372, std=2.877, absmax=12.27 +2025-11-04 13:20:43,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=11.08, mean=-0.02949, std=2.711, absmax=12.05 +2025-11-04 13:20:43,517 ERROR: Encountered non-finite generator loss at iter 20792; skipping update. +2025-11-04 13:20:43,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,519 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:43,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.94, mean=-0.1085, std=3.049, absmax=12.94 +2025-11-04 13:20:43,520 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=11.87, mean=-0.1495, std=2.802, absmax=12.56 +2025-11-04 13:20:43,877 ERROR: Encountered non-finite generator loss at iter 20793; skipping update. +2025-11-04 13:20:43,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:43,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:43,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.52, mean=-0.1017, std=2.959, absmax=14.52 +2025-11-04 13:20:43,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=13.11, mean=-0.09943, std=2.666, absmax=13.11 +2025-11-04 13:20:44,237 ERROR: Encountered non-finite generator loss at iter 20794; skipping update. +2025-11-04 13:20:44,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:44,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.05, mean=-0.1495, std=3.164, absmax=14.05 +2025-11-04 13:20:44,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.95, mean=-0.1437, std=2.89, absmax=11.95 +2025-11-04 13:20:44,597 ERROR: Encountered non-finite generator loss at iter 20795; skipping update. +2025-11-04 13:20:44,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,599 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:44,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.58, mean=-0.1711, std=2.729, absmax=12.95 +2025-11-04 13:20:44,601 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=11.24, mean=-0.113, std=2.53, absmax=11.24 +2025-11-04 13:20:44,957 ERROR: Encountered non-finite generator loss at iter 20796; skipping update. +2025-11-04 13:20:44,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:44,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:44,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.93, mean=-0.1666, std=3.446, absmax=13.93 +2025-11-04 13:20:44,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.6, mean=-0.1955, std=3.006, absmax=11.96 +2025-11-04 13:20:45,316 ERROR: Encountered non-finite generator loss at iter 20797; skipping update. +2025-11-04 13:20:45,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:45,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:45,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:45,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:45,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.15, mean=-0.05259, std=3.137, absmax=13.08 +2025-11-04 13:20:45,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.07, mean=-0.05056, std=2.967, absmax=12.07 +2025-11-04 13:20:45,676 ERROR: Encountered non-finite generator loss at iter 20798; skipping update. +2025-11-04 13:20:45,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:45,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:45,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:45,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:45,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=16.26, mean=0.005404, std=3.525, absmax=16.26 +2025-11-04 13:20:45,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=13.71, mean=0.04797, std=3.322, absmax=13.71 +2025-11-04 13:20:46,036 ERROR: Encountered non-finite generator loss at iter 20799; skipping update. +2025-11-04 13:20:46,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:46,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=10.4, mean=-0.1743, std=2.915, absmax=13.44 +2025-11-04 13:20:46,040 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=10.77, mean=-0.167, std=2.791, absmax=12.54 +2025-11-04 13:20:46,396 ERROR: Encountered non-finite generator loss at iter 20800; skipping update. +2025-11-04 13:20:46,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:46,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.55, mean=-0.1916, std=3.07, absmax=13.55 +2025-11-04 13:20:46,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=11.21, mean=-0.1818, std=2.888, absmax=12.33 +2025-11-04 13:20:46,400 INFO: [38..][epoch: 0, step: 20,800, lr:(2.000e-04,)] [eta: 1 day, 7:51:16, time (data): 0.360 (0.000)] +2025-11-04 13:20:46,756 ERROR: Encountered non-finite generator loss at iter 20801; skipping update. +2025-11-04 13:20:46,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:46,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:46,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=11.83, mean=-0.05621, std=2.689, absmax=11.83 +2025-11-04 13:20:46,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=10.45, mean=-0.06908, std=2.543, absmax=10.45 +2025-11-04 13:20:47,117 ERROR: Encountered non-finite generator loss at iter 20802; skipping update. +2025-11-04 13:20:47,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:47,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=17.02, mean=-0.1055, std=3.027, absmax=17.02 +2025-11-04 13:20:47,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=14.09, mean=-0.08765, std=2.773, absmax=14.09 +2025-11-04 13:20:47,477 ERROR: Encountered non-finite generator loss at iter 20803; skipping update. +2025-11-04 13:20:47,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:47,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=19.46, mean=-0.02271, std=3.213, absmax=19.46 +2025-11-04 13:20:47,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=16.77, mean=-0.05556, std=2.915, absmax=16.77 +2025-11-04 13:20:47,836 ERROR: Encountered non-finite generator loss at iter 20804; skipping update. +2025-11-04 13:20:47,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:47,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:47,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.14, mean=0.05665, std=2.98, absmax=12.35 +2025-11-04 13:20:47,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.72, mean=0.02387, std=2.821, absmax=11.72 +2025-11-04 13:20:48,198 ERROR: Encountered non-finite generator loss at iter 20805; skipping update. +2025-11-04 13:20:48,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:48,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.25, mean=-0.2006, std=3.172, absmax=11.64 +2025-11-04 13:20:48,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=11.09, mean=-0.1771, std=2.886, absmax=11.09 +2025-11-04 13:20:48,557 ERROR: Encountered non-finite generator loss at iter 20806; skipping update. +2025-11-04 13:20:48,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:48,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.38, mean=-0.08556, std=3.147, absmax=14.38 +2025-11-04 13:20:48,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=12.7, mean=-0.0336, std=2.934, absmax=12.7 +2025-11-04 13:20:48,917 ERROR: Encountered non-finite generator loss at iter 20807; skipping update. +2025-11-04 13:20:48,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:48,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:48,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=17.33, mean=-0.1719, std=2.917, absmax=17.33 +2025-11-04 13:20:48,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=15.2, mean=-0.1348, std=2.774, absmax=15.2 +2025-11-04 13:20:49,277 ERROR: Encountered non-finite generator loss at iter 20808; skipping update. +2025-11-04 13:20:49,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:49,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:49,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:49,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:49,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.96, max=16.33, mean=-0.2842, std=3.401, absmax=17.96 +2025-11-04 13:20:49,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.69, max=13.28, mean=-0.285, std=3.158, absmax=15.69 +2025-11-04 13:20:49,637 ERROR: Encountered non-finite generator loss at iter 20809; skipping update. +2025-11-04 13:20:49,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:49,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:49,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:49,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:49,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=12.72, mean=-0.1533, std=2.874, absmax=14.38 +2025-11-04 13:20:49,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=11.1, mean=-0.1154, std=2.594, absmax=11.1 +2025-11-04 13:20:49,998 ERROR: Encountered non-finite generator loss at iter 20810; skipping update. +2025-11-04 13:20:49,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:50,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=12.81, mean=-0.0007401, std=3.076, absmax=12.81 +2025-11-04 13:20:50,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=11.47, mean=0.02691, std=2.925, absmax=11.47 +2025-11-04 13:20:50,361 ERROR: Encountered non-finite generator loss at iter 20811; skipping update. +2025-11-04 13:20:50,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:50,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=10.84, mean=-0.1589, std=2.9, absmax=13.54 +2025-11-04 13:20:50,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=9.499, mean=-0.1444, std=2.666, absmax=12.73 +2025-11-04 13:20:50,721 ERROR: Encountered non-finite generator loss at iter 20812; skipping update. +2025-11-04 13:20:50,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:50,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:50,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.34, max=12.7, mean=-0.2302, std=2.94, absmax=16.34 +2025-11-04 13:20:50,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.59, mean=-0.203, std=2.684, absmax=12.52 +2025-11-04 13:20:51,081 ERROR: Encountered non-finite generator loss at iter 20813; skipping update. +2025-11-04 13:20:51,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:51,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.89, mean=-0.2462, std=2.709, absmax=13.89 +2025-11-04 13:20:51,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.68, mean=-0.2161, std=2.586, absmax=12.68 +2025-11-04 13:20:51,442 ERROR: Encountered non-finite generator loss at iter 20814; skipping update. +2025-11-04 13:20:51,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,444 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:51,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.9, mean=-0.2734, std=2.969, absmax=13.35 +2025-11-04 13:20:51,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=10.66, mean=-0.2733, std=2.814, absmax=12.11 +2025-11-04 13:20:51,801 ERROR: Encountered non-finite generator loss at iter 20815; skipping update. +2025-11-04 13:20:51,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:51,804 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:51,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.09, mean=-0.182, std=2.471, absmax=12.09 +2025-11-04 13:20:51,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.9, mean=-0.2046, std=2.316, absmax=10.9 +2025-11-04 13:20:52,161 ERROR: Encountered non-finite generator loss at iter 20816; skipping update. +2025-11-04 13:20:52,162 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:52,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.07, mean=0.007297, std=3.086, absmax=12.43 +2025-11-04 13:20:52,165 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.01, mean=-0.0099, std=2.765, absmax=11.38 +2025-11-04 13:20:52,522 ERROR: Encountered non-finite generator loss at iter 20817; skipping update. +2025-11-04 13:20:52,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:52,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.96, mean=-0.1707, std=3.124, absmax=13.96 +2025-11-04 13:20:52,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=11.9, mean=-0.1493, std=2.827, absmax=11.93 +2025-11-04 13:20:52,883 ERROR: Encountered non-finite generator loss at iter 20818; skipping update. +2025-11-04 13:20:52,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:52,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:52,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=14.97, mean=-0.1329, std=3.058, absmax=14.97 +2025-11-04 13:20:52,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=14.41, mean=-0.1119, std=2.904, absmax=14.41 +2025-11-04 13:20:53,243 ERROR: Encountered non-finite generator loss at iter 20819; skipping update. +2025-11-04 13:20:53,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:53,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.5, max=18.05, mean=-0.2979, std=2.835, absmax=18.05 +2025-11-04 13:20:53,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.09, max=14.6, mean=-0.2804, std=2.868, absmax=15.09 +2025-11-04 13:20:53,602 ERROR: Encountered non-finite generator loss at iter 20820; skipping update. +2025-11-04 13:20:53,603 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,604 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:53,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=12.69, mean=0.01718, std=3.384, absmax=14.25 +2025-11-04 13:20:53,605 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=11.91, mean=0.03687, std=3.118, absmax=12.53 +2025-11-04 13:20:53,961 ERROR: Encountered non-finite generator loss at iter 20821; skipping update. +2025-11-04 13:20:53,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:53,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:53,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.72, mean=-0.2961, std=2.724, absmax=11.72 +2025-11-04 13:20:53,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.36, mean=-0.3207, std=2.664, absmax=11.36 +2025-11-04 13:20:54,321 ERROR: Encountered non-finite generator loss at iter 20822; skipping update. +2025-11-04 13:20:54,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:54,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:54,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:54,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:54,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=15.04, mean=-0.2886, std=2.843, absmax=15.04 +2025-11-04 13:20:54,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.11, mean=-0.2757, std=2.626, absmax=12.11 +2025-11-04 13:20:54,682 ERROR: Encountered non-finite generator loss at iter 20823; skipping update. +2025-11-04 13:20:54,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:54,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:54,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:54,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:54,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=10.63, mean=-0.1982, std=2.688, absmax=14 +2025-11-04 13:20:54,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.1, max=10.38, mean=-0.2024, std=2.601, absmax=14.1 +2025-11-04 13:20:55,042 ERROR: Encountered non-finite generator loss at iter 20824; skipping update. +2025-11-04 13:20:55,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:55,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13, mean=-0.1692, std=3.029, absmax=13.09 +2025-11-04 13:20:55,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=11.23, mean=-0.252, std=2.866, absmax=12.76 +2025-11-04 13:20:55,402 ERROR: Encountered non-finite generator loss at iter 20825; skipping update. +2025-11-04 13:20:55,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:55,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=9.27, mean=-0.2664, std=2.739, absmax=11.95 +2025-11-04 13:20:55,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=8.299, mean=-0.253, std=2.544, absmax=11.68 +2025-11-04 13:20:55,761 ERROR: Encountered non-finite generator loss at iter 20826; skipping update. +2025-11-04 13:20:55,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:55,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:55,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=19.37, mean=0.1439, std=3.581, absmax=19.37 +2025-11-04 13:20:55,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=16.63, mean=0.1193, std=3.352, absmax=16.63 +2025-11-04 13:20:56,121 ERROR: Encountered non-finite generator loss at iter 20827; skipping update. +2025-11-04 13:20:56,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:56,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.36, mean=0.04551, std=3.134, absmax=13.36 +2025-11-04 13:20:56,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=11.74, mean=0.07102, std=2.818, absmax=11.74 +2025-11-04 13:20:56,481 ERROR: Encountered non-finite generator loss at iter 20828; skipping update. +2025-11-04 13:20:56,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:56,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=14.74, mean=-0.06768, std=3.258, absmax=14.74 +2025-11-04 13:20:56,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=14.48, mean=-0.04784, std=3.133, absmax=14.48 +2025-11-04 13:20:56,841 ERROR: Encountered non-finite generator loss at iter 20829; skipping update. +2025-11-04 13:20:56,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:56,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:56,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=14.06, mean=-0.0292, std=3.521, absmax=14.06 +2025-11-04 13:20:56,844 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=13.24, mean=0.009221, std=3.415, absmax=13.24 +2025-11-04 13:20:57,201 ERROR: Encountered non-finite generator loss at iter 20830; skipping update. +2025-11-04 13:20:57,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:57,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=14.31, mean=-0.2153, std=3.115, absmax=14.89 +2025-11-04 13:20:57,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=11.98, mean=-0.1935, std=2.975, absmax=13.07 +2025-11-04 13:20:57,561 ERROR: Encountered non-finite generator loss at iter 20831; skipping update. +2025-11-04 13:20:57,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:57,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=10.88, mean=-0.1665, std=2.796, absmax=11.72 +2025-11-04 13:20:57,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.05, mean=-0.2031, std=2.625, absmax=10.85 +2025-11-04 13:20:57,921 ERROR: Encountered non-finite generator loss at iter 20832; skipping update. +2025-11-04 13:20:57,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:57,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:57,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=9.827, mean=-0.3169, std=2.996, absmax=14.29 +2025-11-04 13:20:57,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=10.29, mean=-0.2982, std=2.942, absmax=12.74 +2025-11-04 13:20:58,281 ERROR: Encountered non-finite generator loss at iter 20833; skipping update. +2025-11-04 13:20:58,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:58,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:58,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:58,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:58,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.14, mean=-0.1996, std=3.159, absmax=13.33 +2025-11-04 13:20:58,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=10.57, mean=-0.1585, std=3.054, absmax=11.67 +2025-11-04 13:20:58,641 ERROR: Encountered non-finite generator loss at iter 20834; skipping update. +2025-11-04 13:20:58,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:58,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:58,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:58,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:58,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=12.43, mean=-0.0651, std=2.956, absmax=13.4 +2025-11-04 13:20:58,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.35, mean=-0.07381, std=2.895, absmax=12.22 +2025-11-04 13:20:59,000 ERROR: Encountered non-finite generator loss at iter 20835; skipping update. +2025-11-04 13:20:59,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:59,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.48, mean=-0.1735, std=2.917, absmax=13.48 +2025-11-04 13:20:59,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=11.8, mean=-0.1588, std=2.651, absmax=11.8 +2025-11-04 13:20:59,361 ERROR: Encountered non-finite generator loss at iter 20836; skipping update. +2025-11-04 13:20:59,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:59,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.22, mean=-0.04993, std=2.967, absmax=12.22 +2025-11-04 13:20:59,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.03, mean=-0.07074, std=2.898, absmax=12.03 +2025-11-04 13:20:59,721 ERROR: Encountered non-finite generator loss at iter 20837; skipping update. +2025-11-04 13:20:59,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:20:59,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:20:59,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=12.06, mean=-0.1436, std=2.556, absmax=12.06 +2025-11-04 13:20:59,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.461, max=10.89, mean=-0.1725, std=2.324, absmax=10.89 +2025-11-04 13:21:00,081 ERROR: Encountered non-finite generator loss at iter 20838; skipping update. +2025-11-04 13:21:00,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:00,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.35, max=13.43, mean=0.03936, std=3.719, absmax=15.35 +2025-11-04 13:21:00,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.15, mean=0.0005587, std=3.441, absmax=12.41 +2025-11-04 13:21:00,441 ERROR: Encountered non-finite generator loss at iter 20839; skipping update. +2025-11-04 13:21:00,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:00,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.04, mean=0.03143, std=2.958, absmax=13.04 +2025-11-04 13:21:00,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.1, mean=0.08293, std=2.729, absmax=12.1 +2025-11-04 13:21:00,802 ERROR: Encountered non-finite generator loss at iter 20840; skipping update. +2025-11-04 13:21:00,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:00,804 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:00,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=12.97, mean=-0.1942, std=3.422, absmax=14.64 +2025-11-04 13:21:00,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=10.21, mean=-0.1372, std=3.212, absmax=12.65 +2025-11-04 13:21:01,162 ERROR: Encountered non-finite generator loss at iter 20841; skipping update. +2025-11-04 13:21:01,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:01,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.56, mean=-0.03824, std=2.586, absmax=12.56 +2025-11-04 13:21:01,165 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.15, mean=-0.03309, std=2.391, absmax=10.99 +2025-11-04 13:21:01,521 ERROR: Encountered non-finite generator loss at iter 20842; skipping update. +2025-11-04 13:21:01,522 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,523 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:01,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.31, mean=-0.05368, std=3.091, absmax=12.31 +2025-11-04 13:21:01,525 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=10.56, mean=-0.0693, std=2.858, absmax=10.87 +2025-11-04 13:21:01,881 ERROR: Encountered non-finite generator loss at iter 20843; skipping update. +2025-11-04 13:21:01,882 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:01,883 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:01,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=9.752, mean=-0.3519, std=2.793, absmax=12.89 +2025-11-04 13:21:01,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=8.979, mean=-0.2987, std=2.727, absmax=12.14 +2025-11-04 13:21:02,241 ERROR: Encountered non-finite generator loss at iter 20844; skipping update. +2025-11-04 13:21:02,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:02,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=17.01, mean=-0.2352, std=3.099, absmax=17.01 +2025-11-04 13:21:02,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=12.71, mean=-0.2142, std=2.936, absmax=12.71 +2025-11-04 13:21:02,601 ERROR: Encountered non-finite generator loss at iter 20845; skipping update. +2025-11-04 13:21:02,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:02,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=11.28, mean=-0.2416, std=2.639, absmax=15.07 +2025-11-04 13:21:02,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=10.45, mean=-0.2505, std=2.462, absmax=13.1 +2025-11-04 13:21:02,961 ERROR: Encountered non-finite generator loss at iter 20846; skipping update. +2025-11-04 13:21:02,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:02,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:02,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.23, mean=-0.1703, std=2.526, absmax=12.23 +2025-11-04 13:21:02,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.735, max=9.218, mean=-0.1417, std=2.366, absmax=9.735 +2025-11-04 13:21:03,321 ERROR: Encountered non-finite generator loss at iter 20847; skipping update. +2025-11-04 13:21:03,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:03,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:03,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:03,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:03,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.74, mean=-0.275, std=2.925, absmax=12.74 +2025-11-04 13:21:03,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=11.26, mean=-0.2455, std=2.683, absmax=11.26 +2025-11-04 13:21:03,681 ERROR: Encountered non-finite generator loss at iter 20848; skipping update. +2025-11-04 13:21:03,682 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:03,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:03,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:03,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:03,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.47, mean=-0.1184, std=3.165, absmax=13.18 +2025-11-04 13:21:03,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=9.678, mean=-0.1901, std=2.913, absmax=10.78 +2025-11-04 13:21:04,041 ERROR: Encountered non-finite generator loss at iter 20849; skipping update. +2025-11-04 13:21:04,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:04,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.31, mean=-0.0004633, std=3.241, absmax=13.31 +2025-11-04 13:21:04,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=11.42, mean=0.02637, std=3.027, absmax=13.05 +2025-11-04 13:21:04,401 ERROR: Encountered non-finite generator loss at iter 20850; skipping update. +2025-11-04 13:21:04,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,403 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:04,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.21, mean=-0.08115, std=3.057, absmax=13 +2025-11-04 13:21:04,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=11.36, mean=-0.09997, std=2.877, absmax=11.36 +2025-11-04 13:21:04,761 ERROR: Encountered non-finite generator loss at iter 20851; skipping update. +2025-11-04 13:21:04,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:04,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:04,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=10.7, mean=-0.1845, std=2.791, absmax=11.19 +2025-11-04 13:21:04,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=10.12, mean=-0.1268, std=2.741, absmax=11.04 +2025-11-04 13:21:05,121 ERROR: Encountered non-finite generator loss at iter 20852; skipping update. +2025-11-04 13:21:05,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:05,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=17.84, mean=-0.1979, std=2.848, absmax=17.84 +2025-11-04 13:21:05,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=16.13, mean=-0.1779, std=2.626, absmax=16.13 +2025-11-04 13:21:05,482 ERROR: Encountered non-finite generator loss at iter 20853; skipping update. +2025-11-04 13:21:05,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:05,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.43, max=15.14, mean=0.2296, std=3.373, absmax=15.14 +2025-11-04 13:21:05,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.604, max=15.03, mean=0.1846, std=3.245, absmax=15.03 +2025-11-04 13:21:05,841 ERROR: Encountered non-finite generator loss at iter 20854; skipping update. +2025-11-04 13:21:05,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:05,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:05,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.79, mean=-0.1883, std=3.032, absmax=14.17 +2025-11-04 13:21:05,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.98, mean=-0.2047, std=2.799, absmax=11.98 +2025-11-04 13:21:06,202 ERROR: Encountered non-finite generator loss at iter 20855; skipping update. +2025-11-04 13:21:06,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:06,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.27, mean=-0.2383, std=2.828, absmax=13.27 +2025-11-04 13:21:06,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.64, mean=-0.251, std=2.586, absmax=11.68 +2025-11-04 13:21:06,560 ERROR: Encountered non-finite generator loss at iter 20856; skipping update. +2025-11-04 13:21:06,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:06,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.07, mean=-0.01427, std=3.175, absmax=13.07 +2025-11-04 13:21:06,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=10.83, mean=-0.022, std=2.934, absmax=10.83 +2025-11-04 13:21:06,921 ERROR: Encountered non-finite generator loss at iter 20857; skipping update. +2025-11-04 13:21:06,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:06,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:06,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.65, mean=0.1596, std=3.075, absmax=13.65 +2025-11-04 13:21:06,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=13.23, mean=0.1382, std=2.948, absmax=13.23 +2025-11-04 13:21:07,281 ERROR: Encountered non-finite generator loss at iter 20858; skipping update. +2025-11-04 13:21:07,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:07,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:07,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:07,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:07,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=15.04, mean=0.07617, std=4.032, absmax=15.04 +2025-11-04 13:21:07,285 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=13.92, mean=0.03188, std=3.803, absmax=13.92 +2025-11-04 13:21:07,641 ERROR: Encountered non-finite generator loss at iter 20859; skipping update. +2025-11-04 13:21:07,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:07,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:07,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:07,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:07,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.81, mean=0.2436, std=4.002, absmax=14.81 +2025-11-04 13:21:07,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=14.17, mean=0.2593, std=3.814, absmax=14.17 +2025-11-04 13:21:08,001 ERROR: Encountered non-finite generator loss at iter 20860; skipping update. +2025-11-04 13:21:08,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:08,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=10.59, mean=-0.236, std=3.02, absmax=11.87 +2025-11-04 13:21:08,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=9.396, mean=-0.2426, std=2.822, absmax=11.07 +2025-11-04 13:21:08,361 ERROR: Encountered non-finite generator loss at iter 20861; skipping update. +2025-11-04 13:21:08,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:08,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.73, mean=0.1598, std=3.504, absmax=14.73 +2025-11-04 13:21:08,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=13.82, mean=0.1734, std=3.407, absmax=13.82 +2025-11-04 13:21:08,721 ERROR: Encountered non-finite generator loss at iter 20862; skipping update. +2025-11-04 13:21:08,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:08,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:08,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.51, mean=-0.2455, std=2.83, absmax=11.75 +2025-11-04 13:21:08,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=9.317, mean=-0.2314, std=2.666, absmax=12.33 +2025-11-04 13:21:09,081 ERROR: Encountered non-finite generator loss at iter 20863; skipping update. +2025-11-04 13:21:09,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:09,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.18, mean=-0.0868, std=3.036, absmax=12.18 +2025-11-04 13:21:09,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=10.8, mean=-0.06759, std=2.826, absmax=11.63 +2025-11-04 13:21:09,441 ERROR: Encountered non-finite generator loss at iter 20864; skipping update. +2025-11-04 13:21:09,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:09,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=10.66, mean=-0.1652, std=2.836, absmax=11.67 +2025-11-04 13:21:09,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=9.748, mean=-0.1611, std=2.663, absmax=10.14 +2025-11-04 13:21:09,801 ERROR: Encountered non-finite generator loss at iter 20865; skipping update. +2025-11-04 13:21:09,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:09,804 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:09,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=17.3, mean=-0.3829, std=2.743, absmax=17.3 +2025-11-04 13:21:09,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=13.11, mean=-0.3703, std=2.74, absmax=13.11 +2025-11-04 13:21:10,161 ERROR: Encountered non-finite generator loss at iter 20866; skipping update. +2025-11-04 13:21:10,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:10,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.14, mean=-0.1109, std=2.902, absmax=13.43 +2025-11-04 13:21:10,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=12.03, mean=-0.08978, std=2.695, absmax=12.2 +2025-11-04 13:21:10,525 ERROR: Encountered non-finite generator loss at iter 20867; skipping update. +2025-11-04 13:21:10,526 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,528 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:10,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=10.77, mean=-0.3313, std=2.723, absmax=12.58 +2025-11-04 13:21:10,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=10.05, mean=-0.2747, std=2.58, absmax=11.78 +2025-11-04 13:21:10,888 ERROR: Encountered non-finite generator loss at iter 20868; skipping update. +2025-11-04 13:21:10,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:10,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:10,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=10.09, mean=-0.2658, std=2.868, absmax=12.73 +2025-11-04 13:21:10,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=8.835, mean=-0.286, std=2.682, absmax=11.89 +2025-11-04 13:21:11,250 ERROR: Encountered non-finite generator loss at iter 20869; skipping update. +2025-11-04 13:21:11,251 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,251 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,252 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:11,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.2, mean=-0.05814, std=3.01, absmax=13.04 +2025-11-04 13:21:11,253 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=10.46, mean=-0.08235, std=2.833, absmax=12.02 +2025-11-04 13:21:11,610 ERROR: Encountered non-finite generator loss at iter 20870; skipping update. +2025-11-04 13:21:11,611 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,612 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,612 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:11,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=14.11, mean=-0.04153, std=3.118, absmax=14.11 +2025-11-04 13:21:11,613 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=11.27, mean=-0.04575, std=2.777, absmax=11.27 +2025-11-04 13:21:11,969 ERROR: Encountered non-finite generator loss at iter 20871; skipping update. +2025-11-04 13:21:11,971 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:11,972 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:11,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.97, mean=-0.08545, std=3.213, absmax=12.76 +2025-11-04 13:21:11,973 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.96, max=10, mean=-0.1156, std=3.035, absmax=13.96 +2025-11-04 13:21:12,328 ERROR: Encountered non-finite generator loss at iter 20872; skipping update. +2025-11-04 13:21:12,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:12,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:12,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:12,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:12,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=12.57, mean=-0.1332, std=3.455, absmax=14.72 +2025-11-04 13:21:12,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=11.08, mean=-0.1097, std=3.195, absmax=12.86 +2025-11-04 13:21:12,688 ERROR: Encountered non-finite generator loss at iter 20873; skipping update. +2025-11-04 13:21:12,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:12,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:12,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:12,690 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:12,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=15.73, mean=-0.1025, std=2.828, absmax=15.73 +2025-11-04 13:21:12,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=13.11, mean=-0.09963, std=2.637, absmax=13.11 +2025-11-04 13:21:13,048 ERROR: Encountered non-finite generator loss at iter 20874; skipping update. +2025-11-04 13:21:13,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,050 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:13,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.86, mean=-0.07526, std=2.97, absmax=12.86 +2025-11-04 13:21:13,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=11.08, mean=-0.07241, std=2.726, absmax=11.47 +2025-11-04 13:21:13,407 ERROR: Encountered non-finite generator loss at iter 20875; skipping update. +2025-11-04 13:21:13,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:13,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.01, mean=-0.394, std=3.012, absmax=14.01 +2025-11-04 13:21:13,410 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=13.38, mean=-0.3876, std=2.815, absmax=13.38 +2025-11-04 13:21:13,766 ERROR: Encountered non-finite generator loss at iter 20876; skipping update. +2025-11-04 13:21:13,767 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:13,768 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:13,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.51, mean=-0.2011, std=2.594, absmax=12.51 +2025-11-04 13:21:13,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=10.04, mean=-0.2158, std=2.379, absmax=10.28 +2025-11-04 13:21:14,126 ERROR: Encountered non-finite generator loss at iter 20877; skipping update. +2025-11-04 13:21:14,127 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,128 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,128 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:14,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=11.83, mean=-0.07494, std=2.626, absmax=11.83 +2025-11-04 13:21:14,130 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=11.04, mean=-0.02184, std=2.458, absmax=11.85 +2025-11-04 13:21:14,485 ERROR: Encountered non-finite generator loss at iter 20878; skipping update. +2025-11-04 13:21:14,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:14,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.91, mean=-0.07195, std=2.875, absmax=12.91 +2025-11-04 13:21:14,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=11.73, mean=-0.123, std=2.736, absmax=12.59 +2025-11-04 13:21:14,845 ERROR: Encountered non-finite generator loss at iter 20879; skipping update. +2025-11-04 13:21:14,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:14,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:14,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=11.91, mean=-0.2305, std=2.559, absmax=11.91 +2025-11-04 13:21:14,849 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=9.002, mean=-0.1628, std=2.417, absmax=10.47 +2025-11-04 13:21:15,205 ERROR: Encountered non-finite generator loss at iter 20880; skipping update. +2025-11-04 13:21:15,207 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,208 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:15,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=15, mean=0.01578, std=3.105, absmax=15 +2025-11-04 13:21:15,209 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=14.5, mean=0.02881, std=2.968, absmax=14.5 +2025-11-04 13:21:15,565 ERROR: Encountered non-finite generator loss at iter 20881; skipping update. +2025-11-04 13:21:15,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:15,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.71, mean=-0.1918, std=2.466, absmax=11.71 +2025-11-04 13:21:15,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=12.38, mean=-0.1618, std=2.351, absmax=12.38 +2025-11-04 13:21:15,925 ERROR: Encountered non-finite generator loss at iter 20882; skipping update. +2025-11-04 13:21:15,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:15,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:15,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.64, mean=-0.1308, std=2.83, absmax=12.78 +2025-11-04 13:21:15,929 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=10.6, mean=-0.1562, std=2.518, absmax=10.6 +2025-11-04 13:21:16,285 ERROR: Encountered non-finite generator loss at iter 20883; skipping update. +2025-11-04 13:21:16,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:16,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:16,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:16,288 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:16,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.15, mean=-0.02674, std=3.29, absmax=14.15 +2025-11-04 13:21:16,289 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.91, mean=-0.01237, std=3.065, absmax=12.91 +2025-11-04 13:21:16,646 ERROR: Encountered non-finite generator loss at iter 20884; skipping update. +2025-11-04 13:21:16,647 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:16,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:16,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:16,648 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:16,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=11.95, mean=-0.1667, std=2.811, absmax=13.97 +2025-11-04 13:21:16,649 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=9.792, mean=-0.1547, std=2.585, absmax=12.28 +2025-11-04 13:21:17,005 ERROR: Encountered non-finite generator loss at iter 20885; skipping update. +2025-11-04 13:21:17,007 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,008 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:17,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=11.53, mean=-0.08701, std=2.653, absmax=11.53 +2025-11-04 13:21:17,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=10.88, mean=-0.09904, std=2.606, absmax=10.88 +2025-11-04 13:21:17,365 ERROR: Encountered non-finite generator loss at iter 20886; skipping update. +2025-11-04 13:21:17,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:17,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.88, mean=-0.01351, std=2.896, absmax=12.88 +2025-11-04 13:21:17,369 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.7, mean=-0.03944, std=2.643, absmax=11.7 +2025-11-04 13:21:17,725 ERROR: Encountered non-finite generator loss at iter 20887; skipping update. +2025-11-04 13:21:17,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:17,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:17,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.65, max=13.69, mean=-0.1536, std=3.061, absmax=16.65 +2025-11-04 13:21:17,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=12.2, mean=-0.131, std=2.862, absmax=13.41 +2025-11-04 13:21:18,084 ERROR: Encountered non-finite generator loss at iter 20888; skipping update. +2025-11-04 13:21:18,085 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,086 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:18,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.96, mean=-0.0294, std=3.045, absmax=12.96 +2025-11-04 13:21:18,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.53, mean=-0.03663, std=2.952, absmax=12.07 +2025-11-04 13:21:18,443 ERROR: Encountered non-finite generator loss at iter 20889; skipping update. +2025-11-04 13:21:18,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:18,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=14.86, mean=0.1051, std=3.525, absmax=14.86 +2025-11-04 13:21:18,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.984, max=13.73, mean=0.1162, std=3.354, absmax=13.73 +2025-11-04 13:21:18,802 ERROR: Encountered non-finite generator loss at iter 20890; skipping update. +2025-11-04 13:21:18,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:18,804 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:18,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.19, mean=-0.2307, std=2.986, absmax=12.81 +2025-11-04 13:21:18,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=9.516, mean=-0.2577, std=2.787, absmax=12.18 +2025-11-04 13:21:19,162 ERROR: Encountered non-finite generator loss at iter 20891; skipping update. +2025-11-04 13:21:19,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:19,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=16, mean=-0.0905, std=3.278, absmax=16 +2025-11-04 13:21:19,165 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=14.89, mean=-0.1089, std=3.049, absmax=14.89 +2025-11-04 13:21:19,522 ERROR: Encountered non-finite generator loss at iter 20892; skipping update. +2025-11-04 13:21:19,523 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,524 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,524 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:19,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.04, mean=-0.2477, std=2.542, absmax=12.25 +2025-11-04 13:21:19,525 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=9.981, mean=-0.2485, std=2.372, absmax=10.58 +2025-11-04 13:21:19,882 ERROR: Encountered non-finite generator loss at iter 20893; skipping update. +2025-11-04 13:21:19,883 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,884 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:19,884 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:19,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.24, mean=-0.09961, std=2.603, absmax=12.24 +2025-11-04 13:21:19,885 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.619, max=10.13, mean=-0.08997, std=2.42, absmax=10.13 +2025-11-04 13:21:20,242 ERROR: Encountered non-finite generator loss at iter 20894; skipping update. +2025-11-04 13:21:20,243 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,244 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,244 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:20,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.48, mean=-0.2429, std=2.424, absmax=12.01 +2025-11-04 13:21:20,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=10.11, mean=-0.2107, std=2.291, absmax=10.48 +2025-11-04 13:21:20,602 ERROR: Encountered non-finite generator loss at iter 20895; skipping update. +2025-11-04 13:21:20,603 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,604 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:20,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=9.704, mean=-0.3401, std=2.738, absmax=14.17 +2025-11-04 13:21:20,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=9.131, mean=-0.3224, std=2.607, absmax=13.7 +2025-11-04 13:21:20,962 ERROR: Encountered non-finite generator loss at iter 20896; skipping update. +2025-11-04 13:21:20,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:20,964 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:20,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=15.33, mean=-0.3188, std=2.836, absmax=15.33 +2025-11-04 13:21:20,965 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=12.49, mean=-0.2533, std=2.631, absmax=12.49 +2025-11-04 13:21:21,322 ERROR: Encountered non-finite generator loss at iter 20897; skipping update. +2025-11-04 13:21:21,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:21,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:21,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:21,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:21,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=11.48, mean=-0.08221, std=2.736, absmax=12.15 +2025-11-04 13:21:21,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.603, max=10.8, mean=-0.1132, std=2.541, absmax=10.8 +2025-11-04 13:21:21,682 ERROR: Encountered non-finite generator loss at iter 20898; skipping update. +2025-11-04 13:21:21,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:21,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:21,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:21,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:21,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=13.01, mean=0.1343, std=3.144, absmax=14.73 +2025-11-04 13:21:21,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.28, mean=0.1223, std=2.919, absmax=12.28 +2025-11-04 13:21:22,042 ERROR: Encountered non-finite generator loss at iter 20899; skipping update. +2025-11-04 13:21:22,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:22,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=15.58, mean=-0.2477, std=2.893, absmax=15.58 +2025-11-04 13:21:22,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=11.3, mean=-0.2124, std=2.692, absmax=11.3 +2025-11-04 13:21:22,403 ERROR: Encountered non-finite generator loss at iter 20900; skipping update. +2025-11-04 13:21:22,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:22,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.11, mean=-0.1034, std=3.191, absmax=13.51 +2025-11-04 13:21:22,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.46, mean=-0.1133, std=2.96, absmax=12.75 +2025-11-04 13:21:22,407 INFO: [38..][epoch: 0, step: 20,900, lr:(2.000e-04,)] [eta: 1 day, 7:43:17, time (data): 0.360 (0.000)] +2025-11-04 13:21:22,763 ERROR: Encountered non-finite generator loss at iter 20901; skipping update. +2025-11-04 13:21:22,764 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:22,765 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:22,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=14.47, mean=-0.07661, std=3.787, absmax=14.73 +2025-11-04 13:21:22,766 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.75, max=13.03, mean=-0.0537, std=3.602, absmax=13.75 +2025-11-04 13:21:23,122 ERROR: Encountered non-finite generator loss at iter 20902; skipping update. +2025-11-04 13:21:23,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:23,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.84, mean=-0.1406, std=3.559, absmax=13.15 +2025-11-04 13:21:23,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=12.39, mean=-0.1525, std=3.341, absmax=12.39 +2025-11-04 13:21:23,482 ERROR: Encountered non-finite generator loss at iter 20903; skipping update. +2025-11-04 13:21:23,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:23,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.37, mean=-0.3177, std=2.624, absmax=12.37 +2025-11-04 13:21:23,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.856, max=9.223, mean=-0.3024, std=2.471, absmax=9.856 +2025-11-04 13:21:23,842 ERROR: Encountered non-finite generator loss at iter 20904; skipping update. +2025-11-04 13:21:23,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:23,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:23,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.32, mean=-0.2553, std=3.054, absmax=14.32 +2025-11-04 13:21:23,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.27, mean=-0.1963, std=2.844, absmax=12.27 +2025-11-04 13:21:24,201 ERROR: Encountered non-finite generator loss at iter 20905; skipping update. +2025-11-04 13:21:24,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:24,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=10.47, mean=-0.1688, std=2.441, absmax=10.74 +2025-11-04 13:21:24,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.311, max=9.909, mean=-0.1651, std=2.334, absmax=9.909 +2025-11-04 13:21:24,561 ERROR: Encountered non-finite generator loss at iter 20906; skipping update. +2025-11-04 13:21:24,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:24,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=10.87, mean=-0.2603, std=3.173, absmax=12.73 +2025-11-04 13:21:24,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=10.91, mean=-0.232, std=2.928, absmax=11.66 +2025-11-04 13:21:24,920 ERROR: Encountered non-finite generator loss at iter 20907; skipping update. +2025-11-04 13:21:24,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:24,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:24,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.37, mean=-0.3622, std=3.256, absmax=13.37 +2025-11-04 13:21:24,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.33, mean=-0.3329, std=3.024, absmax=12.56 +2025-11-04 13:21:25,280 ERROR: Encountered non-finite generator loss at iter 20908; skipping update. +2025-11-04 13:21:25,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:25,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:25,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:25,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:25,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.38, mean=-0.1253, std=2.811, absmax=12.74 +2025-11-04 13:21:25,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=10.48, mean=-0.06147, std=2.613, absmax=11.32 +2025-11-04 13:21:25,640 ERROR: Encountered non-finite generator loss at iter 20909; skipping update. +2025-11-04 13:21:25,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:25,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:25,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:25,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:25,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=19.74, mean=-0.1816, std=3.649, absmax=19.74 +2025-11-04 13:21:25,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=15.68, mean=-0.1604, std=3.461, absmax=15.68 +2025-11-04 13:21:26,004 ERROR: Encountered non-finite generator loss at iter 20910; skipping update. +2025-11-04 13:21:26,005 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,006 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:26,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.49, mean=-0.1751, std=3.136, absmax=12.49 +2025-11-04 13:21:26,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=11.25, mean=-0.1968, std=2.867, absmax=11.25 +2025-11-04 13:21:26,364 ERROR: Encountered non-finite generator loss at iter 20911; skipping update. +2025-11-04 13:21:26,365 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,366 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,366 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:26,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.73, mean=0.007369, std=3.317, absmax=13.18 +2025-11-04 13:21:26,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=13.53, mean=0.07174, std=3.155, absmax=13.53 +2025-11-04 13:21:26,724 ERROR: Encountered non-finite generator loss at iter 20912; skipping update. +2025-11-04 13:21:26,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:26,726 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:26,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.18, mean=-0.06198, std=2.892, absmax=12.22 +2025-11-04 13:21:26,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=9.738, mean=-0.02764, std=2.704, absmax=11.39 +2025-11-04 13:21:27,083 ERROR: Encountered non-finite generator loss at iter 20913; skipping update. +2025-11-04 13:21:27,085 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:27,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.02, mean=-0.04275, std=2.745, absmax=12.17 +2025-11-04 13:21:27,088 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=10.96, mean=-0.01709, std=2.528, absmax=10.96 +2025-11-04 13:21:27,447 ERROR: Encountered non-finite generator loss at iter 20914; skipping update. +2025-11-04 13:21:27,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:27,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=12.32, mean=-0.1857, std=3.035, absmax=12.66 +2025-11-04 13:21:27,451 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.19, mean=-0.1443, std=2.808, absmax=11.21 +2025-11-04 13:21:27,810 ERROR: Encountered non-finite generator loss at iter 20915; skipping update. +2025-11-04 13:21:27,811 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,812 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:27,812 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:27,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.29, mean=-0.1093, std=3.079, absmax=13.29 +2025-11-04 13:21:27,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=12.32, mean=-0.09025, std=2.857, absmax=12.32 +2025-11-04 13:21:28,172 ERROR: Encountered non-finite generator loss at iter 20916; skipping update. +2025-11-04 13:21:28,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,175 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:28,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.2, mean=-0.2969, std=3.096, absmax=13.92 +2025-11-04 13:21:28,177 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=11.94, mean=-0.2582, std=2.859, absmax=12.13 +2025-11-04 13:21:28,534 ERROR: Encountered non-finite generator loss at iter 20917; skipping update. +2025-11-04 13:21:28,535 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,536 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,536 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:28,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=14.09, mean=-0.2832, std=2.718, absmax=15.32 +2025-11-04 13:21:28,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=13.4, mean=-0.2372, std=2.544, absmax=13.4 +2025-11-04 13:21:28,894 ERROR: Encountered non-finite generator loss at iter 20918; skipping update. +2025-11-04 13:21:28,895 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,896 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:28,897 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:28,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=16.03, mean=-0.03998, std=3.179, absmax=16.03 +2025-11-04 13:21:28,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=14.08, mean=-0.06087, std=2.97, absmax=14.08 +2025-11-04 13:21:29,254 ERROR: Encountered non-finite generator loss at iter 20919; skipping update. +2025-11-04 13:21:29,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:29,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.52, mean=-0.1978, std=2.651, absmax=13.63 +2025-11-04 13:21:29,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=11.52, mean=-0.1864, std=2.429, absmax=11.52 +2025-11-04 13:21:29,615 ERROR: Encountered non-finite generator loss at iter 20920; skipping update. +2025-11-04 13:21:29,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,617 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:29,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13, mean=-0.3281, std=3.395, absmax=14.03 +2025-11-04 13:21:29,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.63, max=11.75, mean=-0.308, std=3.114, absmax=13.63 +2025-11-04 13:21:29,975 ERROR: Encountered non-finite generator loss at iter 20921; skipping update. +2025-11-04 13:21:29,976 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:29,977 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:29,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=10.87, mean=-0.202, std=2.555, absmax=11.19 +2025-11-04 13:21:29,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=9.652, mean=-0.1489, std=2.499, absmax=10.58 +2025-11-04 13:21:30,337 ERROR: Encountered non-finite generator loss at iter 20922; skipping update. +2025-11-04 13:21:30,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:30,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:30,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:30,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:30,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=11.46, mean=-0.274, std=2.659, absmax=13.43 +2025-11-04 13:21:30,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=9.996, mean=-0.2694, std=2.481, absmax=12.27 +2025-11-04 13:21:30,697 ERROR: Encountered non-finite generator loss at iter 20923; skipping update. +2025-11-04 13:21:30,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:30,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:30,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:30,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:30,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.5, max=18.24, mean=-0.1249, std=3.742, absmax=18.24 +2025-11-04 13:21:30,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=15.26, mean=-0.1016, std=3.54, absmax=15.26 +2025-11-04 13:21:31,057 ERROR: Encountered non-finite generator loss at iter 20924; skipping update. +2025-11-04 13:21:31,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:31,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.86, max=14.22, mean=-0.153, std=3.106, absmax=16.86 +2025-11-04 13:21:31,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.78, mean=-0.1737, std=2.872, absmax=13.03 +2025-11-04 13:21:31,417 ERROR: Encountered non-finite generator loss at iter 20925; skipping update. +2025-11-04 13:21:31,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:31,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=16.32, mean=-0.002948, std=3.203, absmax=16.32 +2025-11-04 13:21:31,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=14.77, mean=-0.05537, std=2.927, absmax=14.77 +2025-11-04 13:21:31,778 ERROR: Encountered non-finite generator loss at iter 20926; skipping update. +2025-11-04 13:21:31,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:31,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:31,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.57, mean=-0.1698, std=2.838, absmax=12.77 +2025-11-04 13:21:31,782 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=10.28, mean=-0.1793, std=2.781, absmax=11.53 +2025-11-04 13:21:32,138 ERROR: Encountered non-finite generator loss at iter 20927; skipping update. +2025-11-04 13:21:32,139 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,140 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,141 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:32,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=15.37, mean=0.0162, std=3.743, absmax=15.37 +2025-11-04 13:21:32,142 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=13.76, mean=-0.02327, std=3.422, absmax=13.76 +2025-11-04 13:21:32,499 ERROR: Encountered non-finite generator loss at iter 20928; skipping update. +2025-11-04 13:21:32,500 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,501 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,501 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:32,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=10.26, mean=-0.2437, std=2.575, absmax=11.56 +2025-11-04 13:21:32,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.75, mean=-0.2117, std=2.583, absmax=11.28 +2025-11-04 13:21:32,859 ERROR: Encountered non-finite generator loss at iter 20929; skipping update. +2025-11-04 13:21:32,860 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,860 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:32,861 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:32,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.49, max=11.15, mean=-0.266, std=3.331, absmax=16.49 +2025-11-04 13:21:32,862 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.89, max=10.08, mean=-0.2423, std=3.088, absmax=14.89 +2025-11-04 13:21:33,219 ERROR: Encountered non-finite generator loss at iter 20930; skipping update. +2025-11-04 13:21:33,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:33,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=14.92, mean=0.2193, std=3.68, absmax=14.92 +2025-11-04 13:21:33,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=14.16, mean=0.1823, std=3.358, absmax=14.16 +2025-11-04 13:21:33,579 ERROR: Encountered non-finite generator loss at iter 20931; skipping update. +2025-11-04 13:21:33,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,581 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:33,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=16.15, mean=-0.4334, std=3.387, absmax=16.15 +2025-11-04 13:21:33,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=13.87, mean=-0.3578, std=3.3, absmax=13.87 +2025-11-04 13:21:33,939 ERROR: Encountered non-finite generator loss at iter 20932; skipping update. +2025-11-04 13:21:33,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:33,941 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:33,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.27, mean=-0.1813, std=2.545, absmax=13.27 +2025-11-04 13:21:33,943 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.93, mean=-0.1747, std=2.418, absmax=11.93 +2025-11-04 13:21:34,301 ERROR: Encountered non-finite generator loss at iter 20933; skipping update. +2025-11-04 13:21:34,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:34,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:34,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:34,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:34,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=15.01, mean=-0.1826, std=3.269, absmax=15.01 +2025-11-04 13:21:34,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.35, mean=-0.1574, std=3.085, absmax=12.35 +2025-11-04 13:21:34,662 ERROR: Encountered non-finite generator loss at iter 20934; skipping update. +2025-11-04 13:21:34,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:34,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:34,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:34,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:34,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.22, mean=-0.1353, std=2.683, absmax=11.64 +2025-11-04 13:21:34,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=10.71, mean=-0.136, std=2.549, absmax=10.71 +2025-11-04 13:21:35,023 ERROR: Encountered non-finite generator loss at iter 20935; skipping update. +2025-11-04 13:21:35,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:35,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=11.27, mean=-0.2441, std=3.228, absmax=14.07 +2025-11-04 13:21:35,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=10.28, mean=-0.2863, std=2.952, absmax=13.02 +2025-11-04 13:21:35,385 ERROR: Encountered non-finite generator loss at iter 20936; skipping update. +2025-11-04 13:21:35,386 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,387 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:35,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.55, mean=-0.1559, std=2.892, absmax=13.55 +2025-11-04 13:21:35,388 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=12.48, mean=-0.1416, std=2.697, absmax=12.48 +2025-11-04 13:21:35,745 ERROR: Encountered non-finite generator loss at iter 20937; skipping update. +2025-11-04 13:21:35,746 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:35,747 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:35,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.64, mean=-0.1614, std=2.988, absmax=13.52 +2025-11-04 13:21:35,748 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=10.19, mean=-0.1507, std=2.797, absmax=11.99 +2025-11-04 13:21:36,106 ERROR: Encountered non-finite generator loss at iter 20938; skipping update. +2025-11-04 13:21:36,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:36,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=13.61, mean=0.006195, std=3.379, absmax=14.65 +2025-11-04 13:21:36,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.41, mean=0.04657, std=3.179, absmax=12.41 +2025-11-04 13:21:36,467 ERROR: Encountered non-finite generator loss at iter 20939; skipping update. +2025-11-04 13:21:36,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,469 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:36,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=14.4, mean=-0.2094, std=3.574, absmax=14.4 +2025-11-04 13:21:36,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=13.62, mean=-0.1811, std=3.351, absmax=13.62 +2025-11-04 13:21:36,828 ERROR: Encountered non-finite generator loss at iter 20940; skipping update. +2025-11-04 13:21:36,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:36,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:36,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=15.28, mean=0.1829, std=3.495, absmax=15.28 +2025-11-04 13:21:36,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=13.43, mean=0.1884, std=3.145, absmax=13.43 +2025-11-04 13:21:37,189 ERROR: Encountered non-finite generator loss at iter 20941; skipping update. +2025-11-04 13:21:37,191 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,192 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,192 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:37,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.18, mean=-0.1909, std=2.6, absmax=13.55 +2025-11-04 13:21:37,193 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.05, mean=-0.2192, std=2.441, absmax=12.05 +2025-11-04 13:21:37,551 ERROR: Encountered non-finite generator loss at iter 20942; skipping update. +2025-11-04 13:21:37,552 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,553 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,553 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:37,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=11.55, mean=-0.2178, std=2.904, absmax=13.15 +2025-11-04 13:21:37,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=10.77, mean=-0.2054, std=2.776, absmax=10.77 +2025-11-04 13:21:37,911 ERROR: Encountered non-finite generator loss at iter 20943; skipping update. +2025-11-04 13:21:37,912 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,913 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:37,913 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:37,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=15.16, mean=-0.1474, std=2.799, absmax=15.16 +2025-11-04 13:21:37,915 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.65, mean=-0.1423, std=2.591, absmax=12.65 +2025-11-04 13:21:38,272 ERROR: Encountered non-finite generator loss at iter 20944; skipping update. +2025-11-04 13:21:38,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:38,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=10.93, mean=-0.2972, std=2.506, absmax=12.2 +2025-11-04 13:21:38,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=8.744, mean=-0.276, std=2.3, absmax=10.09 +2025-11-04 13:21:38,636 ERROR: Encountered non-finite generator loss at iter 20945; skipping update. +2025-11-04 13:21:38,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:38,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.21, mean=-0.131, std=2.535, absmax=13.2 +2025-11-04 13:21:38,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.89, mean=-0.1228, std=2.363, absmax=11.16 +2025-11-04 13:21:38,997 ERROR: Encountered non-finite generator loss at iter 20946; skipping update. +2025-11-04 13:21:38,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:38,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:39,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:39,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.09, mean=-0.03953, std=3.492, absmax=14 +2025-11-04 13:21:39,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.12, mean=-0.009559, std=3.139, absmax=12.76 +2025-11-04 13:21:39,360 ERROR: Encountered non-finite generator loss at iter 20947; skipping update. +2025-11-04 13:21:39,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:39,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:39,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:39,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:39,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.74, mean=-0.09459, std=2.934, absmax=12.74 +2025-11-04 13:21:39,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.75, mean=-0.04933, std=2.804, absmax=11.75 +2025-11-04 13:21:39,727 ERROR: Encountered non-finite generator loss at iter 20948; skipping update. +2025-11-04 13:21:39,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:39,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:39,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:39,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:39,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.31, mean=-0.0934, std=2.768, absmax=12.62 +2025-11-04 13:21:39,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=10.69, mean=-0.05952, std=2.646, absmax=12.8 +2025-11-04 13:21:40,092 ERROR: Encountered non-finite generator loss at iter 20949; skipping update. +2025-11-04 13:21:40,094 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,095 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,095 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:40,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.19, mean=-0.1618, std=2.998, absmax=12.89 +2025-11-04 13:21:40,097 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.093, mean=-0.1589, std=2.72, absmax=11.67 +2025-11-04 13:21:40,458 ERROR: Encountered non-finite generator loss at iter 20950; skipping update. +2025-11-04 13:21:40,459 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,460 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,460 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:40,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.3, mean=-0.3056, std=3.3, absmax=14.3 +2025-11-04 13:21:40,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.07, mean=-0.27, std=3.029, absmax=12.07 +2025-11-04 13:21:40,819 ERROR: Encountered non-finite generator loss at iter 20951; skipping update. +2025-11-04 13:21:40,820 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,821 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:40,821 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:40,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.64, mean=-0.1583, std=3.268, absmax=14.64 +2025-11-04 13:21:40,823 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=12.25, mean=-0.1632, std=3.102, absmax=12.25 +2025-11-04 13:21:41,180 ERROR: Encountered non-finite generator loss at iter 20952; skipping update. +2025-11-04 13:21:41,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:41,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.52, mean=-0.1212, std=2.986, absmax=12.52 +2025-11-04 13:21:41,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=11.91, mean=-0.0583, std=2.87, absmax=11.91 +2025-11-04 13:21:41,542 ERROR: Encountered non-finite generator loss at iter 20953; skipping update. +2025-11-04 13:21:41,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:41,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=11.2, mean=-0.2632, std=2.635, absmax=11.77 +2025-11-04 13:21:41,549 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=9.845, mean=-0.2031, std=2.616, absmax=11.63 +2025-11-04 13:21:41,909 ERROR: Encountered non-finite generator loss at iter 20954; skipping update. +2025-11-04 13:21:41,910 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,911 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:41,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:41,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=14.77, mean=0.1607, std=3.464, absmax=14.77 +2025-11-04 13:21:41,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=14.03, mean=0.1001, std=3.219, absmax=14.03 +2025-11-04 13:21:42,274 ERROR: Encountered non-finite generator loss at iter 20955; skipping update. +2025-11-04 13:21:42,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:42,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=12.43, mean=-0.3636, std=3.004, absmax=14.55 +2025-11-04 13:21:42,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=10.55, mean=-0.381, std=2.905, absmax=12.53 +2025-11-04 13:21:42,636 ERROR: Encountered non-finite generator loss at iter 20956; skipping update. +2025-11-04 13:21:42,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:42,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.06, mean=-0.1984, std=2.958, absmax=12.87 +2025-11-04 13:21:42,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=11.1, mean=-0.2002, std=2.777, absmax=11.48 +2025-11-04 13:21:42,997 ERROR: Encountered non-finite generator loss at iter 20957; skipping update. +2025-11-04 13:21:42,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:42,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:43,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:43,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=12.19, mean=-0.1927, std=3.409, absmax=14.79 +2025-11-04 13:21:43,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=13.17, mean=-0.1802, std=3.154, absmax=13.17 +2025-11-04 13:21:43,359 ERROR: Encountered non-finite generator loss at iter 20958; skipping update. +2025-11-04 13:21:43,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:43,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:43,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:43,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:43,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.27, mean=-0.03823, std=2.976, absmax=13.27 +2025-11-04 13:21:43,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=12.25, mean=-0.04198, std=2.674, absmax=12.25 +2025-11-04 13:21:43,721 ERROR: Encountered non-finite generator loss at iter 20959; skipping update. +2025-11-04 13:21:43,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:43,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:43,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:43,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:43,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.41, mean=-0.2617, std=3.282, absmax=13.67 +2025-11-04 13:21:43,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=11.85, mean=-0.2552, std=2.974, absmax=12.97 +2025-11-04 13:21:44,082 ERROR: Encountered non-finite generator loss at iter 20960; skipping update. +2025-11-04 13:21:44,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:44,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.27, max=11.42, mean=-0.1009, std=2.575, absmax=11.42 +2025-11-04 13:21:44,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.55, mean=-0.01353, std=2.545, absmax=11.55 +2025-11-04 13:21:44,442 ERROR: Encountered non-finite generator loss at iter 20961; skipping update. +2025-11-04 13:21:44,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:44,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.98, mean=-0.05217, std=3.026, absmax=15.98 +2025-11-04 13:21:44,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.99, mean=-0.05519, std=2.726, absmax=11.99 +2025-11-04 13:21:44,802 ERROR: Encountered non-finite generator loss at iter 20962; skipping update. +2025-11-04 13:21:44,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:44,804 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:44,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.3, mean=-0.2568, std=3.383, absmax=12.74 +2025-11-04 13:21:44,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=9.124, mean=-0.2333, std=2.985, absmax=10.64 +2025-11-04 13:21:45,161 ERROR: Encountered non-finite generator loss at iter 20963; skipping update. +2025-11-04 13:21:45,162 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:45,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.51, mean=-0.2488, std=3.444, absmax=14.32 +2025-11-04 13:21:45,165 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=9.924, mean=-0.2349, std=3.259, absmax=12.78 +2025-11-04 13:21:45,522 ERROR: Encountered non-finite generator loss at iter 20964; skipping update. +2025-11-04 13:21:45,523 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,524 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,524 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:45,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=12.98, mean=-0.2997, std=2.765, absmax=12.98 +2025-11-04 13:21:45,525 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=12.3, mean=-0.2585, std=2.687, absmax=12.3 +2025-11-04 13:21:45,881 ERROR: Encountered non-finite generator loss at iter 20965; skipping update. +2025-11-04 13:21:45,883 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:45,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:45,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.63, mean=-0.2125, std=3.365, absmax=13.68 +2025-11-04 13:21:45,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=12.07, mean=-0.1657, std=3.062, absmax=13.05 +2025-11-04 13:21:46,245 ERROR: Encountered non-finite generator loss at iter 20966; skipping update. +2025-11-04 13:21:46,247 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,248 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,248 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:46,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=10.84, mean=-0.1421, std=2.91, absmax=13.63 +2025-11-04 13:21:46,250 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=10.67, mean=-0.1253, std=2.757, absmax=12.91 +2025-11-04 13:21:46,608 ERROR: Encountered non-finite generator loss at iter 20967; skipping update. +2025-11-04 13:21:46,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,611 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:46,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.01, mean=-0.2434, std=2.466, absmax=12.99 +2025-11-04 13:21:46,612 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=9.427, mean=-0.2325, std=2.251, absmax=11.24 +2025-11-04 13:21:46,970 ERROR: Encountered non-finite generator loss at iter 20968; skipping update. +2025-11-04 13:21:46,971 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,972 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:46,973 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:46,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.39, mean=-0.1964, std=3.08, absmax=14.39 +2025-11-04 13:21:46,974 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=12.41, mean=-0.1541, std=2.859, absmax=12.41 +2025-11-04 13:21:47,333 ERROR: Encountered non-finite generator loss at iter 20969; skipping update. +2025-11-04 13:21:47,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:47,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:47,335 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:47,336 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:47,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=11.31, mean=-0.1913, std=3.139, absmax=14.12 +2025-11-04 13:21:47,337 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=10.58, mean=-0.1641, std=2.911, absmax=13.07 +2025-11-04 13:21:47,696 ERROR: Encountered non-finite generator loss at iter 20970; skipping update. +2025-11-04 13:21:47,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:47,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:47,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:47,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:47,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.82, mean=-0.06671, std=2.754, absmax=13.82 +2025-11-04 13:21:47,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.13, mean=-0.03593, std=2.479, absmax=12.13 +2025-11-04 13:21:48,059 ERROR: Encountered non-finite generator loss at iter 20971; skipping update. +2025-11-04 13:21:48,060 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,061 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,061 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:48,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.33, mean=-0.2181, std=2.846, absmax=12.33 +2025-11-04 13:21:48,063 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=10.74, mean=-0.1673, std=2.646, absmax=10.74 +2025-11-04 13:21:48,422 ERROR: Encountered non-finite generator loss at iter 20972; skipping update. +2025-11-04 13:21:48,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:48,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=14.81, mean=-0.1773, std=3.029, absmax=14.81 +2025-11-04 13:21:48,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=12.77, mean=-0.2235, std=2.812, absmax=13.36 +2025-11-04 13:21:48,784 ERROR: Encountered non-finite generator loss at iter 20973; skipping update. +2025-11-04 13:21:48,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:48,787 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:48,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.87, mean=-0.1507, std=2.772, absmax=12.71 +2025-11-04 13:21:48,788 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=11.02, mean=-0.07647, std=2.635, absmax=11.02 +2025-11-04 13:21:49,147 ERROR: Encountered non-finite generator loss at iter 20974; skipping update. +2025-11-04 13:21:49,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:49,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.11, mean=-0.2889, std=2.706, absmax=13.11 +2025-11-04 13:21:49,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.47, mean=-0.2599, std=2.575, absmax=11.91 +2025-11-04 13:21:49,510 ERROR: Encountered non-finite generator loss at iter 20975; skipping update. +2025-11-04 13:21:49,511 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,512 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,512 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:49,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.65, max=14.78, mean=-0.2209, std=2.795, absmax=17.65 +2025-11-04 13:21:49,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.21, max=13.48, mean=-0.2084, std=2.622, absmax=16.21 +2025-11-04 13:21:49,871 ERROR: Encountered non-finite generator loss at iter 20976; skipping update. +2025-11-04 13:21:49,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:49,873 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:49,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.28, mean=-0.2432, std=2.934, absmax=13.12 +2025-11-04 13:21:49,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.5, mean=-0.2224, std=2.765, absmax=11.66 +2025-11-04 13:21:50,232 ERROR: Encountered non-finite generator loss at iter 20977; skipping update. +2025-11-04 13:21:50,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:50,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=15.55, mean=0.03159, std=3.163, absmax=15.55 +2025-11-04 13:21:50,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=14.28, mean=-0.009242, std=2.998, absmax=14.28 +2025-11-04 13:21:50,593 ERROR: Encountered non-finite generator loss at iter 20978; skipping update. +2025-11-04 13:21:50,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:50,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=11.29, mean=-0.2754, std=3.081, absmax=14.59 +2025-11-04 13:21:50,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=9.694, mean=-0.3095, std=2.911, absmax=13.28 +2025-11-04 13:21:50,953 ERROR: Encountered non-finite generator loss at iter 20979; skipping update. +2025-11-04 13:21:50,954 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,955 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:50,955 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:50,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.11, mean=-0.09258, std=2.975, absmax=13.11 +2025-11-04 13:21:50,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=11, mean=-0.1068, std=2.76, absmax=11 +2025-11-04 13:21:51,314 ERROR: Encountered non-finite generator loss at iter 20980; skipping update. +2025-11-04 13:21:51,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:51,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:51,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:51,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:51,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=10.79, mean=-0.1338, std=2.697, absmax=12.74 +2025-11-04 13:21:51,317 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=10.16, mean=-0.1289, std=2.49, absmax=10.49 +2025-11-04 13:21:51,674 ERROR: Encountered non-finite generator loss at iter 20981; skipping update. +2025-11-04 13:21:51,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:51,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:51,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:51,676 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:51,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.64, mean=-0.2013, std=3.179, absmax=12.89 +2025-11-04 13:21:51,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=14.18, mean=-0.168, std=3.133, absmax=14.18 +2025-11-04 13:21:52,035 ERROR: Encountered non-finite generator loss at iter 20982; skipping update. +2025-11-04 13:21:52,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:52,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.22, mean=-0.2215, std=3.271, absmax=14.22 +2025-11-04 13:21:52,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=12.62, mean=-0.1537, std=3.117, absmax=12.62 +2025-11-04 13:21:52,395 ERROR: Encountered non-finite generator loss at iter 20983; skipping update. +2025-11-04 13:21:52,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:52,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.07, mean=-0.2329, std=3.154, absmax=12.15 +2025-11-04 13:21:52,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=11.44, mean=-0.2226, std=2.92, absmax=11.44 +2025-11-04 13:21:52,755 ERROR: Encountered non-finite generator loss at iter 20984; skipping update. +2025-11-04 13:21:52,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:52,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:52,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.4, mean=0.2176, std=3.68, absmax=13.41 +2025-11-04 13:21:52,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=12.62, mean=0.21, std=3.32, absmax=12.62 +2025-11-04 13:21:53,116 ERROR: Encountered non-finite generator loss at iter 20985; skipping update. +2025-11-04 13:21:53,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:53,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.02, mean=-0.2078, std=2.932, absmax=13.02 +2025-11-04 13:21:53,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=9.595, mean=-0.238, std=2.73, absmax=11.56 +2025-11-04 13:21:53,477 ERROR: Encountered non-finite generator loss at iter 20986; skipping update. +2025-11-04 13:21:53,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:53,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.57, mean=-0.2401, std=2.986, absmax=12.61 +2025-11-04 13:21:53,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=11.27, mean=-0.2267, std=2.755, absmax=11.27 +2025-11-04 13:21:53,837 ERROR: Encountered non-finite generator loss at iter 20987; skipping update. +2025-11-04 13:21:53,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:53,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:53,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=14.1, mean=-0.1119, std=3.123, absmax=14.1 +2025-11-04 13:21:53,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=12.39, mean=-0.07808, std=2.998, absmax=12.39 +2025-11-04 13:21:54,199 ERROR: Encountered non-finite generator loss at iter 20988; skipping update. +2025-11-04 13:21:54,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:54,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=14.87, mean=-0.1829, std=3.085, absmax=14.87 +2025-11-04 13:21:54,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=13.42, mean=-0.211, std=2.916, absmax=13.42 +2025-11-04 13:21:54,563 ERROR: Encountered non-finite generator loss at iter 20989; skipping update. +2025-11-04 13:21:54,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:54,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.34, mean=-0.02967, std=3.186, absmax=13.08 +2025-11-04 13:21:54,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.07, mean=-0.02689, std=2.947, absmax=11.55 +2025-11-04 13:21:54,927 ERROR: Encountered non-finite generator loss at iter 20990; skipping update. +2025-11-04 13:21:54,927 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,928 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:54,929 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:54,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.26, mean=-0.1564, std=2.767, absmax=14.26 +2025-11-04 13:21:54,930 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.423, max=13.28, mean=-0.1648, std=2.606, absmax=13.28 +2025-11-04 13:21:55,289 ERROR: Encountered non-finite generator loss at iter 20991; skipping update. +2025-11-04 13:21:55,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:55,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:55,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:55,292 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:55,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=15.8, mean=-0.2501, std=2.74, absmax=15.8 +2025-11-04 13:21:55,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=11.86, mean=-0.2024, std=2.532, absmax=11.86 +2025-11-04 13:21:55,651 ERROR: Encountered non-finite generator loss at iter 20992; skipping update. +2025-11-04 13:21:55,652 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:55,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:55,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:55,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:55,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.09, mean=-0.2255, std=3.124, absmax=13.09 +2025-11-04 13:21:55,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10.92, mean=-0.2321, std=2.836, absmax=12.05 +2025-11-04 13:21:56,014 ERROR: Encountered non-finite generator loss at iter 20993; skipping update. +2025-11-04 13:21:56,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:56,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=10.44, mean=-0.2834, std=2.704, absmax=11.46 +2025-11-04 13:21:56,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=8.66, mean=-0.2826, std=2.509, absmax=10.51 +2025-11-04 13:21:56,376 ERROR: Encountered non-finite generator loss at iter 20994; skipping update. +2025-11-04 13:21:56,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:56,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=13.54, mean=-0.09858, std=3.625, absmax=15.06 +2025-11-04 13:21:56,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=13.48, mean=-0.03729, std=3.303, absmax=13.48 +2025-11-04 13:21:56,739 ERROR: Encountered non-finite generator loss at iter 20995; skipping update. +2025-11-04 13:21:56,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:56,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:56,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=16.65, mean=0.09681, std=3.264, absmax=16.65 +2025-11-04 13:21:56,743 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=15.62, mean=0.09893, std=2.988, absmax=15.62 +2025-11-04 13:21:57,102 ERROR: Encountered non-finite generator loss at iter 20996; skipping update. +2025-11-04 13:21:57,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:57,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.63, mean=-0.2895, std=2.805, absmax=14.63 +2025-11-04 13:21:57,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=13.11, mean=-0.2773, std=2.578, absmax=13.13 +2025-11-04 13:21:57,464 ERROR: Encountered non-finite generator loss at iter 20997; skipping update. +2025-11-04 13:21:57,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:57,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.88, mean=-0.2468, std=2.569, absmax=13.88 +2025-11-04 13:21:57,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=13.06, mean=-0.1707, std=2.427, absmax=13.06 +2025-11-04 13:21:57,824 ERROR: Encountered non-finite generator loss at iter 20998; skipping update. +2025-11-04 13:21:57,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:57,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:57,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=16.46, mean=-0.02304, std=2.92, absmax=16.46 +2025-11-04 13:21:57,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=15.8, mean=-0.06396, std=2.602, absmax=15.8 +2025-11-04 13:21:58,184 ERROR: Encountered non-finite generator loss at iter 20999; skipping update. +2025-11-04 13:21:58,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,186 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:58,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=12.24, mean=-0.3204, std=3.232, absmax=14.39 +2025-11-04 13:21:58,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.01, mean=-0.326, std=2.944, absmax=12.42 +2025-11-04 13:21:58,544 ERROR: Encountered non-finite generator loss at iter 21000; skipping update. +2025-11-04 13:21:58,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:58,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.45, mean=-0.2901, std=2.601, absmax=14.45 +2025-11-04 13:21:58,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=11.58, mean=-0.2414, std=2.441, absmax=11.58 +2025-11-04 13:21:58,548 INFO: [38..][epoch: 0, step: 21,000, lr:(2.000e-04,)] [eta: 1 day, 7:35:23, time (data): 0.361 (0.000)] +2025-11-04 13:21:58,904 ERROR: Encountered non-finite generator loss at iter 21001; skipping update. +2025-11-04 13:21:58,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:58,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:58,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.67, mean=-0.2053, std=3.178, absmax=13.38 +2025-11-04 13:21:58,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=11.61, mean=-0.2104, std=2.991, absmax=12 +2025-11-04 13:21:59,265 ERROR: Encountered non-finite generator loss at iter 21002; skipping update. +2025-11-04 13:21:59,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,268 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:59,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=11.26, mean=-0.09991, std=2.532, absmax=12.17 +2025-11-04 13:21:59,270 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.906, max=10.08, mean=-0.08428, std=2.253, absmax=10.08 +2025-11-04 13:21:59,628 ERROR: Encountered non-finite generator loss at iter 21003; skipping update. +2025-11-04 13:21:59,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:59,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.05, mean=-0.2199, std=2.971, absmax=14.05 +2025-11-04 13:21:59,632 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.77, mean=-0.1518, std=2.73, absmax=12.77 +2025-11-04 13:21:59,990 ERROR: Encountered non-finite generator loss at iter 21004; skipping update. +2025-11-04 13:21:59,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:21:59,993 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:21:59,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.65, mean=0.1016, std=3.073, absmax=12.76 +2025-11-04 13:21:59,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.35, mean=0.1386, std=2.878, absmax=12.35 +2025-11-04 13:22:00,354 ERROR: Encountered non-finite generator loss at iter 21005; skipping update. +2025-11-04 13:22:00,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:00,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:00,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:00,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:00,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.89, max=13.91, mean=-0.05112, std=2.756, absmax=16.89 +2025-11-04 13:22:00,358 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.48, max=12.01, mean=-0.01441, std=2.596, absmax=14.48 +2025-11-04 13:22:00,717 ERROR: Encountered non-finite generator loss at iter 21006; skipping update. +2025-11-04 13:22:00,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:00,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:00,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:00,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:00,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=14.16, mean=-0.1297, std=3.2, absmax=15.2 +2025-11-04 13:22:00,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=12.01, mean=-0.113, std=2.977, absmax=12.01 +2025-11-04 13:22:01,080 ERROR: Encountered non-finite generator loss at iter 21007; skipping update. +2025-11-04 13:22:01,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:01,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.39, max=12.53, mean=-0.2773, std=2.582, absmax=17.39 +2025-11-04 13:22:01,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.92, max=10.03, mean=-0.2483, std=2.397, absmax=14.92 +2025-11-04 13:22:01,442 ERROR: Encountered non-finite generator loss at iter 21008; skipping update. +2025-11-04 13:22:01,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:01,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.13, mean=-0.3232, std=3.073, absmax=13.05 +2025-11-04 13:22:01,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=8.927, mean=-0.2638, std=2.904, absmax=12.27 +2025-11-04 13:22:01,806 ERROR: Encountered non-finite generator loss at iter 21009; skipping update. +2025-11-04 13:22:01,807 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,808 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:01,809 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:01,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=13.64, mean=0.06336, std=3.506, absmax=15.1 +2025-11-04 13:22:01,810 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.05, max=13.21, mean=0.03341, std=3.241, absmax=15.05 +2025-11-04 13:22:02,168 ERROR: Encountered non-finite generator loss at iter 21010; skipping update. +2025-11-04 13:22:02,170 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:02,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.67, mean=-0.147, std=3.152, absmax=13.24 +2025-11-04 13:22:02,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=11.91, mean=-0.141, std=2.947, absmax=11.91 +2025-11-04 13:22:02,529 ERROR: Encountered non-finite generator loss at iter 21011; skipping update. +2025-11-04 13:22:02,530 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,531 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,531 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:02,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.6, mean=-0.3433, std=3.006, absmax=13.22 +2025-11-04 13:22:02,532 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.82, max=11.96, mean=-0.3101, std=2.83, absmax=14.82 +2025-11-04 13:22:02,890 ERROR: Encountered non-finite generator loss at iter 21012; skipping update. +2025-11-04 13:22:02,890 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,891 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:02,891 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:02,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=15.08, mean=-0.2753, std=2.984, absmax=15.08 +2025-11-04 13:22:02,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.97, mean=-0.2446, std=2.744, absmax=12.81 +2025-11-04 13:22:03,250 ERROR: Encountered non-finite generator loss at iter 21013; skipping update. +2025-11-04 13:22:03,251 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,252 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:03,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=10.67, mean=-0.3476, std=2.872, absmax=13.33 +2025-11-04 13:22:03,253 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=9.494, mean=-0.3827, std=2.667, absmax=11.24 +2025-11-04 13:22:03,610 ERROR: Encountered non-finite generator loss at iter 21014; skipping update. +2025-11-04 13:22:03,611 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,612 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:03,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.21, max=18.23, mean=-0.05384, std=3.618, absmax=18.23 +2025-11-04 13:22:03,614 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=15.47, mean=-0.06289, std=3.333, absmax=15.47 +2025-11-04 13:22:03,971 ERROR: Encountered non-finite generator loss at iter 21015; skipping update. +2025-11-04 13:22:03,972 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:03,973 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:03,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.53, mean=-0.006578, std=3.117, absmax=14.53 +2025-11-04 13:22:03,974 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.87, mean=-0.003455, std=2.856, absmax=12.87 +2025-11-04 13:22:04,333 ERROR: Encountered non-finite generator loss at iter 21016; skipping update. +2025-11-04 13:22:04,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:04,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:04,335 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:04,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:04,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.74, mean=-0.1086, std=2.854, absmax=12.83 +2025-11-04 13:22:04,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=9.984, mean=-0.09031, std=2.573, absmax=11.45 +2025-11-04 13:22:04,693 ERROR: Encountered non-finite generator loss at iter 21017; skipping update. +2025-11-04 13:22:04,694 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:04,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:04,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:04,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:04,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.53, mean=-0.2282, std=2.256, absmax=12.31 +2025-11-04 13:22:04,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.847, max=11.06, mean=-0.1947, std=2.241, absmax=11.06 +2025-11-04 13:22:05,053 ERROR: Encountered non-finite generator loss at iter 21018; skipping update. +2025-11-04 13:22:05,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:05,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.34, mean=-0.2673, std=2.778, absmax=12.52 +2025-11-04 13:22:05,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.92, mean=-0.2287, std=2.546, absmax=11.6 +2025-11-04 13:22:05,414 ERROR: Encountered non-finite generator loss at iter 21019; skipping update. +2025-11-04 13:22:05,415 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:05,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.01, mean=-0.1131, std=3.128, absmax=13.37 +2025-11-04 13:22:05,417 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=11.47, mean=-0.02883, std=2.926, absmax=11.68 +2025-11-04 13:22:05,774 ERROR: Encountered non-finite generator loss at iter 21020; skipping update. +2025-11-04 13:22:05,775 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:05,777 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:05,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.85, mean=-0.1523, std=2.995, absmax=12.36 +2025-11-04 13:22:05,778 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.05, mean=-0.1656, std=2.734, absmax=11.39 +2025-11-04 13:22:06,135 ERROR: Encountered non-finite generator loss at iter 21021; skipping update. +2025-11-04 13:22:06,136 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,137 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,137 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:06,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=10.58, mean=-0.2248, std=3.056, absmax=13.42 +2025-11-04 13:22:06,139 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=9.872, mean=-0.2465, std=2.904, absmax=11.1 +2025-11-04 13:22:06,497 ERROR: Encountered non-finite generator loss at iter 21022; skipping update. +2025-11-04 13:22:06,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,500 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:06,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.7, mean=0.01366, std=3.244, absmax=13.7 +2025-11-04 13:22:06,501 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.918, max=11.68, mean=0.01566, std=2.972, absmax=11.68 +2025-11-04 13:22:06,857 ERROR: Encountered non-finite generator loss at iter 21023; skipping update. +2025-11-04 13:22:06,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:06,860 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:06,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=11.12, mean=-0.1881, std=3.288, absmax=14.84 +2025-11-04 13:22:06,861 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=9.67, mean=-0.2001, std=3.015, absmax=11.8 +2025-11-04 13:22:07,218 ERROR: Encountered non-finite generator loss at iter 21024; skipping update. +2025-11-04 13:22:07,219 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,220 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:07,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.76, mean=-0.05223, std=3.195, absmax=14.32 +2025-11-04 13:22:07,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=12.42, mean=-0.04671, std=2.975, absmax=12.42 +2025-11-04 13:22:07,579 ERROR: Encountered non-finite generator loss at iter 21025; skipping update. +2025-11-04 13:22:07,579 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,580 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,580 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:07,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.33, mean=0.09823, std=3.366, absmax=13.33 +2025-11-04 13:22:07,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=13.32, mean=0.1091, std=3.083, absmax=13.32 +2025-11-04 13:22:07,939 ERROR: Encountered non-finite generator loss at iter 21026; skipping update. +2025-11-04 13:22:07,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:07,941 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:07,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.78, mean=-0.1507, std=3.331, absmax=13.78 +2025-11-04 13:22:07,943 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=12.94, mean=-0.1753, std=3.128, absmax=13.85 +2025-11-04 13:22:08,300 ERROR: Encountered non-finite generator loss at iter 21027; skipping update. +2025-11-04 13:22:08,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:08,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:08,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:08,302 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:08,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=13.52, mean=-0.01173, std=3.061, absmax=13.52 +2025-11-04 13:22:08,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=12.42, mean=0.01134, std=2.866, absmax=12.42 +2025-11-04 13:22:08,662 ERROR: Encountered non-finite generator loss at iter 21028; skipping update. +2025-11-04 13:22:08,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:08,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:08,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:08,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:08,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.54, mean=-0.2264, std=2.995, absmax=12.54 +2025-11-04 13:22:08,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.42, mean=-0.2197, std=2.882, absmax=11.42 +2025-11-04 13:22:09,023 ERROR: Encountered non-finite generator loss at iter 21029; skipping update. +2025-11-04 13:22:09,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:09,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=14.58, mean=-0.1737, std=3.922, absmax=15.48 +2025-11-04 13:22:09,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=12.7, mean=-0.1684, std=3.627, absmax=12.83 +2025-11-04 13:22:09,383 ERROR: Encountered non-finite generator loss at iter 21030; skipping update. +2025-11-04 13:22:09,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:09,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=14.92, mean=-0.2098, std=3.452, absmax=14.92 +2025-11-04 13:22:09,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=13.85, mean=-0.2013, std=3.319, absmax=13.85 +2025-11-04 13:22:09,743 ERROR: Encountered non-finite generator loss at iter 21031; skipping update. +2025-11-04 13:22:09,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:09,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:09,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.15, mean=-0.1861, std=2.941, absmax=12.9 +2025-11-04 13:22:09,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.29, mean=-0.1605, std=2.769, absmax=11.31 +2025-11-04 13:22:10,103 ERROR: Encountered non-finite generator loss at iter 21032; skipping update. +2025-11-04 13:22:10,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:10,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.53, mean=-0.2375, std=3.148, absmax=13.36 +2025-11-04 13:22:10,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=10.26, mean=-0.2373, std=2.978, absmax=13.22 +2025-11-04 13:22:10,463 ERROR: Encountered non-finite generator loss at iter 21033; skipping update. +2025-11-04 13:22:10,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,464 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:10,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.9, mean=-0.2214, std=2.869, absmax=12.96 +2025-11-04 13:22:10,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.82, mean=-0.2137, std=2.647, absmax=11.13 +2025-11-04 13:22:10,824 ERROR: Encountered non-finite generator loss at iter 21034; skipping update. +2025-11-04 13:22:10,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:10,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:10,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=16.12, mean=-0.2949, std=3.114, absmax=16.12 +2025-11-04 13:22:10,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=13.42, mean=-0.2365, std=2.947, absmax=13.42 +2025-11-04 13:22:11,183 ERROR: Encountered non-finite generator loss at iter 21035; skipping update. +2025-11-04 13:22:11,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:11,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14.88, mean=-0.05466, std=3.35, absmax=14.88 +2025-11-04 13:22:11,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=13.95, mean=-0.06153, std=3.117, absmax=13.95 +2025-11-04 13:22:11,543 ERROR: Encountered non-finite generator loss at iter 21036; skipping update. +2025-11-04 13:22:11,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:11,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=15.19, mean=-0.2719, std=3.631, absmax=15.19 +2025-11-04 13:22:11,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.07, max=13.59, mean=-0.2901, std=3.498, absmax=15.07 +2025-11-04 13:22:11,903 ERROR: Encountered non-finite generator loss at iter 21037; skipping update. +2025-11-04 13:22:11,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:11,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:11,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=10.54, mean=-0.2666, std=2.948, absmax=12.13 +2025-11-04 13:22:11,906 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=9.907, mean=-0.2889, std=2.836, absmax=11.81 +2025-11-04 13:22:12,262 ERROR: Encountered non-finite generator loss at iter 21038; skipping update. +2025-11-04 13:22:12,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:12,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.66, mean=-0.1714, std=2.518, absmax=14.66 +2025-11-04 13:22:12,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=10.76, mean=-0.1555, std=2.327, absmax=10.76 +2025-11-04 13:22:12,623 ERROR: Encountered non-finite generator loss at iter 21039; skipping update. +2025-11-04 13:22:12,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:12,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.03, mean=0.01484, std=3.413, absmax=13.03 +2025-11-04 13:22:12,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=12.41, mean=0.05827, std=3.154, absmax=12.41 +2025-11-04 13:22:12,982 ERROR: Encountered non-finite generator loss at iter 21040; skipping update. +2025-11-04 13:22:12,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:12,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:12,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=13.03, mean=0.08055, std=3.092, absmax=14.6 +2025-11-04 13:22:12,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.28, mean=0.09465, std=2.82, absmax=11.28 +2025-11-04 13:22:13,343 ERROR: Encountered non-finite generator loss at iter 21041; skipping update. +2025-11-04 13:22:13,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:13,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:13,345 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:13,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:13,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.68, mean=-0.2709, std=2.625, absmax=12.68 +2025-11-04 13:22:13,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.1, mean=-0.2398, std=2.46, absmax=11.34 +2025-11-04 13:22:13,704 ERROR: Encountered non-finite generator loss at iter 21042; skipping update. +2025-11-04 13:22:13,705 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:13,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:13,706 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:13,707 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:13,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=14.41, mean=-0.1313, std=3.017, absmax=14.41 +2025-11-04 13:22:13,708 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.84, mean=-0.1426, std=2.768, absmax=12.84 +2025-11-04 13:22:14,064 ERROR: Encountered non-finite generator loss at iter 21043; skipping update. +2025-11-04 13:22:14,064 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:14,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.56, mean=-0.1525, std=2.837, absmax=12.61 +2025-11-04 13:22:14,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=11.85, mean=-0.09596, std=2.764, absmax=11.85 +2025-11-04 13:22:14,424 ERROR: Encountered non-finite generator loss at iter 21044; skipping update. +2025-11-04 13:22:14,425 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:14,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=14.88, mean=-0.2369, std=2.871, absmax=14.88 +2025-11-04 13:22:14,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=10.23, mean=-0.2164, std=2.627, absmax=10.45 +2025-11-04 13:22:14,784 ERROR: Encountered non-finite generator loss at iter 21045; skipping update. +2025-11-04 13:22:14,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:14,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:14,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.02, mean=-0.3159, std=2.599, absmax=13.02 +2025-11-04 13:22:14,788 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=12.35, mean=-0.2919, std=2.447, absmax=12.35 +2025-11-04 13:22:15,144 ERROR: Encountered non-finite generator loss at iter 21046; skipping update. +2025-11-04 13:22:15,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:15,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.75, mean=-0.1785, std=3.307, absmax=13.75 +2025-11-04 13:22:15,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=12.35, mean=-0.1751, std=3.036, absmax=12.35 +2025-11-04 13:22:15,505 ERROR: Encountered non-finite generator loss at iter 21047; skipping update. +2025-11-04 13:22:15,506 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,507 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:15,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.15, mean=-0.334, std=2.884, absmax=12.7 +2025-11-04 13:22:15,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=11.27, mean=-0.2698, std=2.698, absmax=12.42 +2025-11-04 13:22:15,866 ERROR: Encountered non-finite generator loss at iter 21048; skipping update. +2025-11-04 13:22:15,866 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,867 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:15,867 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:15,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=13.9, mean=0.147, std=3.303, absmax=14.14 +2025-11-04 13:22:15,868 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=13.34, mean=0.183, std=3.056, absmax=13.34 +2025-11-04 13:22:16,226 ERROR: Encountered non-finite generator loss at iter 21049; skipping update. +2025-11-04 13:22:16,227 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,228 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,228 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:16,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=16.14, mean=-0.1555, std=2.763, absmax=16.14 +2025-11-04 13:22:16,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=12.76, mean=-0.1227, std=2.458, absmax=12.76 +2025-11-04 13:22:16,587 ERROR: Encountered non-finite generator loss at iter 21050; skipping update. +2025-11-04 13:22:16,588 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:16,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.83, mean=-0.2688, std=3.11, absmax=12.7 +2025-11-04 13:22:16,591 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=10.7, mean=-0.2708, std=2.922, absmax=12.38 +2025-11-04 13:22:16,948 ERROR: Encountered non-finite generator loss at iter 21051; skipping update. +2025-11-04 13:22:16,949 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,950 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:16,950 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:16,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.33, max=15.41, mean=-0.1297, std=2.733, absmax=15.41 +2025-11-04 13:22:16,951 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=13.78, mean=-0.1412, std=2.511, absmax=13.78 +2025-11-04 13:22:17,309 ERROR: Encountered non-finite generator loss at iter 21052; skipping update. +2025-11-04 13:22:17,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:17,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:17,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:17,311 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:17,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.9, mean=-0.08532, std=2.808, absmax=12.9 +2025-11-04 13:22:17,312 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.1, max=11.4, mean=-0.07877, std=2.63, absmax=11.4 +2025-11-04 13:22:17,670 ERROR: Encountered non-finite generator loss at iter 21053; skipping update. +2025-11-04 13:22:17,671 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:17,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:17,672 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:17,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:17,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.16, mean=-0.1078, std=2.66, absmax=12.38 +2025-11-04 13:22:17,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.44, mean=-0.07047, std=2.491, absmax=11.44 +2025-11-04 13:22:18,031 ERROR: Encountered non-finite generator loss at iter 21054; skipping update. +2025-11-04 13:22:18,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:18,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.57, max=10.15, mean=-0.2678, std=2.603, absmax=10.57 +2025-11-04 13:22:18,034 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=9.298, mean=-0.2662, std=2.491, absmax=10.27 +2025-11-04 13:22:18,392 ERROR: Encountered non-finite generator loss at iter 21055; skipping update. +2025-11-04 13:22:18,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,394 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,395 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:18,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=11.6, mean=-0.1884, std=2.796, absmax=12.75 +2025-11-04 13:22:18,396 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=9.879, mean=-0.1665, std=2.572, absmax=11.3 +2025-11-04 13:22:18,754 ERROR: Encountered non-finite generator loss at iter 21056; skipping update. +2025-11-04 13:22:18,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:18,756 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:18,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.96, mean=-0.2126, std=3.602, absmax=13.96 +2025-11-04 13:22:18,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=12.58, mean=-0.1897, std=3.271, absmax=13.09 +2025-11-04 13:22:19,116 ERROR: Encountered non-finite generator loss at iter 21057; skipping update. +2025-11-04 13:22:19,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:19,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=15.47, mean=0.2553, std=3.829, absmax=15.47 +2025-11-04 13:22:19,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.62, max=14.08, mean=0.2207, std=3.506, absmax=14.08 +2025-11-04 13:22:19,477 ERROR: Encountered non-finite generator loss at iter 21058; skipping update. +2025-11-04 13:22:19,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:19,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.79, mean=-0.03579, std=3.119, absmax=14.79 +2025-11-04 13:22:19,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=14.1, mean=-0.01486, std=2.963, absmax=14.1 +2025-11-04 13:22:19,839 ERROR: Encountered non-finite generator loss at iter 21059; skipping update. +2025-11-04 13:22:19,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:19,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:19,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.65, mean=-0.04428, std=2.993, absmax=12.26 +2025-11-04 13:22:19,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=10.65, mean=-0.04208, std=2.7, absmax=10.65 +2025-11-04 13:22:20,200 ERROR: Encountered non-finite generator loss at iter 21060; skipping update. +2025-11-04 13:22:20,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:20,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.47, mean=0.005277, std=3.307, absmax=14.47 +2025-11-04 13:22:20,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=13.29, mean=0.008313, std=3.067, absmax=13.29 +2025-11-04 13:22:20,562 ERROR: Encountered non-finite generator loss at iter 21061; skipping update. +2025-11-04 13:22:20,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:20,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.3, mean=-0.001481, std=2.902, absmax=12.3 +2025-11-04 13:22:20,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.15, mean=0.02776, std=2.758, absmax=11.15 +2025-11-04 13:22:20,923 ERROR: Encountered non-finite generator loss at iter 21062; skipping update. +2025-11-04 13:22:20,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,925 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:20,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:20,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.85, mean=-0.06349, std=3.281, absmax=14.85 +2025-11-04 13:22:20,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=13.03, mean=-0.07159, std=3.099, absmax=13.03 +2025-11-04 13:22:21,284 ERROR: Encountered non-finite generator loss at iter 21063; skipping update. +2025-11-04 13:22:21,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:21,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:21,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:21,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:21,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=15.12, mean=0.08024, std=3.253, absmax=15.12 +2025-11-04 13:22:21,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=12.15, mean=0.0634, std=3.074, absmax=12.25 +2025-11-04 13:22:21,646 ERROR: Encountered non-finite generator loss at iter 21064; skipping update. +2025-11-04 13:22:21,648 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:21,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:21,649 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:21,649 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:21,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.46, mean=-0.03271, std=2.64, absmax=14.26 +2025-11-04 13:22:21,651 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=12.65, mean=-0.04814, std=2.493, absmax=12.65 +2025-11-04 13:22:22,009 ERROR: Encountered non-finite generator loss at iter 21065; skipping update. +2025-11-04 13:22:22,011 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,012 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,012 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:22,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.48, mean=0.05487, std=3.181, absmax=14.12 +2025-11-04 13:22:22,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=13.07, mean=0.04817, std=3.005, absmax=13.07 +2025-11-04 13:22:22,372 ERROR: Encountered non-finite generator loss at iter 21066; skipping update. +2025-11-04 13:22:22,373 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:22,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.03, mean=-0.266, std=2.955, absmax=13.82 +2025-11-04 13:22:22,376 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=11.23, mean=-0.2812, std=2.67, absmax=12.65 +2025-11-04 13:22:22,733 ERROR: Encountered non-finite generator loss at iter 21067; skipping update. +2025-11-04 13:22:22,734 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,735 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:22,735 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:22,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.63, max=13.17, mean=0.06082, std=2.753, absmax=13.17 +2025-11-04 13:22:22,736 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.677, max=12.8, mean=0.05689, std=2.625, absmax=12.8 +2025-11-04 13:22:23,093 ERROR: Encountered non-finite generator loss at iter 21068; skipping update. +2025-11-04 13:22:23,094 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,095 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,095 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:23,096 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=14.16, mean=-0.1446, std=3.001, absmax=15.1 +2025-11-04 13:22:23,096 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.35, max=10.89, mean=-0.1119, std=2.814, absmax=13.35 +2025-11-04 13:22:23,453 ERROR: Encountered non-finite generator loss at iter 21069; skipping update. +2025-11-04 13:22:23,454 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,455 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,455 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:23,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=10.99, mean=-0.1365, std=2.822, absmax=11.91 +2025-11-04 13:22:23,456 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=12.42, mean=-0.1071, std=2.737, absmax=12.42 +2025-11-04 13:22:23,813 ERROR: Encountered non-finite generator loss at iter 21070; skipping update. +2025-11-04 13:22:23,814 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,815 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:23,815 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:23,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.32, mean=-0.2452, std=3.753, absmax=14.86 +2025-11-04 13:22:23,816 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=11.5, mean=-0.2674, std=3.61, absmax=13.61 +2025-11-04 13:22:24,173 ERROR: Encountered non-finite generator loss at iter 21071; skipping update. +2025-11-04 13:22:24,174 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,175 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,175 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:24,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.05, mean=-0.1306, std=2.967, absmax=12.95 +2025-11-04 13:22:24,176 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.26, mean=-0.109, std=2.802, absmax=12.26 +2025-11-04 13:22:24,533 ERROR: Encountered non-finite generator loss at iter 21072; skipping update. +2025-11-04 13:22:24,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,536 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:24,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=10.73, mean=-0.0836, std=2.627, absmax=11.85 +2025-11-04 13:22:24,537 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=9.197, mean=-0.04946, std=2.428, absmax=10.33 +2025-11-04 13:22:24,894 ERROR: Encountered non-finite generator loss at iter 21073; skipping update. +2025-11-04 13:22:24,895 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,896 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:24,896 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:24,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=15.98, mean=-0.02695, std=3.248, absmax=15.98 +2025-11-04 13:22:24,897 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=15.82, mean=0.02291, std=3.186, absmax=15.82 +2025-11-04 13:22:25,254 ERROR: Encountered non-finite generator loss at iter 21074; skipping update. +2025-11-04 13:22:25,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,255 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:25,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=13.34, mean=-0.2585, std=3.102, absmax=14.2 +2025-11-04 13:22:25,257 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=13.56, mean=-0.2318, std=2.826, absmax=13.56 +2025-11-04 13:22:25,614 ERROR: Encountered non-finite generator loss at iter 21075; skipping update. +2025-11-04 13:22:25,615 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:25,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.6, mean=-0.005313, std=3.465, absmax=14.6 +2025-11-04 13:22:25,617 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=13.51, mean=-0.003874, std=3.239, absmax=13.51 +2025-11-04 13:22:25,974 ERROR: Encountered non-finite generator loss at iter 21076; skipping update. +2025-11-04 13:22:25,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:25,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:25,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.48, mean=-0.09607, std=2.671, absmax=12.33 +2025-11-04 13:22:25,977 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=10.59, mean=-0.07857, std=2.471, absmax=10.59 +2025-11-04 13:22:26,334 ERROR: Encountered non-finite generator loss at iter 21077; skipping update. +2025-11-04 13:22:26,335 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:26,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:26,336 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:26,336 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:26,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=16.01, mean=-0.1862, std=3.088, absmax=16.01 +2025-11-04 13:22:26,337 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=14.05, mean=-0.2027, std=2.814, absmax=14.05 +2025-11-04 13:22:26,694 ERROR: Encountered non-finite generator loss at iter 21078; skipping update. +2025-11-04 13:22:26,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:26,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:26,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:26,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:26,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.3, mean=-0.3615, std=3.337, absmax=14.26 +2025-11-04 13:22:26,697 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=11.65, mean=-0.3517, std=3.22, absmax=13.6 +2025-11-04 13:22:27,054 ERROR: Encountered non-finite generator loss at iter 21079; skipping update. +2025-11-04 13:22:27,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:27,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=12.5, mean=-0.1066, std=2.629, absmax=12.5 +2025-11-04 13:22:27,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=12.02, mean=-0.07172, std=2.452, absmax=12.02 +2025-11-04 13:22:27,414 ERROR: Encountered non-finite generator loss at iter 21080; skipping update. +2025-11-04 13:22:27,415 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:27,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.96, mean=-0.1848, std=3.225, absmax=13.96 +2025-11-04 13:22:27,417 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=13.75, mean=-0.1743, std=2.959, absmax=13.75 +2025-11-04 13:22:27,774 ERROR: Encountered non-finite generator loss at iter 21081; skipping update. +2025-11-04 13:22:27,775 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:27,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:27,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=14.14, mean=0.2198, std=3.713, absmax=14.14 +2025-11-04 13:22:27,777 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=12.73, mean=0.2101, std=3.391, absmax=12.73 +2025-11-04 13:22:28,134 ERROR: Encountered non-finite generator loss at iter 21082; skipping update. +2025-11-04 13:22:28,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,136 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:28,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.72, mean=-0.2027, std=3.051, absmax=14.72 +2025-11-04 13:22:28,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.61, mean=-0.1927, std=2.893, absmax=12.61 +2025-11-04 13:22:28,494 ERROR: Encountered non-finite generator loss at iter 21083; skipping update. +2025-11-04 13:22:28,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:28,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=16.11, mean=-0.07312, std=3.552, absmax=16.11 +2025-11-04 13:22:28,498 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=13.75, mean=-0.08072, std=3.343, absmax=13.75 +2025-11-04 13:22:28,854 ERROR: Encountered non-finite generator loss at iter 21084; skipping update. +2025-11-04 13:22:28,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:28,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:28,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.13, mean=-0.1956, std=2.824, absmax=13.13 +2025-11-04 13:22:28,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=12.62, mean=-0.1411, std=2.727, absmax=12.62 +2025-11-04 13:22:29,215 ERROR: Encountered non-finite generator loss at iter 21085; skipping update. +2025-11-04 13:22:29,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,216 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,217 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:29,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=15.97, mean=0.1543, std=3.262, absmax=15.97 +2025-11-04 13:22:29,218 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=12.15, mean=0.1533, std=2.925, absmax=12.15 +2025-11-04 13:22:29,575 ERROR: Encountered non-finite generator loss at iter 21086; skipping update. +2025-11-04 13:22:29,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,577 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:29,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=11.19, mean=-0.2401, std=2.78, absmax=13.36 +2025-11-04 13:22:29,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=10.54, mean=-0.21, std=2.653, absmax=11.94 +2025-11-04 13:22:29,935 ERROR: Encountered non-finite generator loss at iter 21087; skipping update. +2025-11-04 13:22:29,936 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:29,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:29,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.59, mean=-0.1356, std=2.884, absmax=13.06 +2025-11-04 13:22:29,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.23, max=10.08, mean=-0.08209, std=2.654, absmax=14.23 +2025-11-04 13:22:30,296 ERROR: Encountered non-finite generator loss at iter 21088; skipping update. +2025-11-04 13:22:30,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:30,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:30,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:30,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:30,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11, mean=-0.1026, std=2.758, absmax=11.35 +2025-11-04 13:22:30,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.469, max=9.163, mean=-0.092, std=2.475, absmax=9.469 +2025-11-04 13:22:30,656 ERROR: Encountered non-finite generator loss at iter 21089; skipping update. +2025-11-04 13:22:30,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:30,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:30,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:30,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:30,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.82, mean=-0.149, std=2.666, absmax=11.82 +2025-11-04 13:22:30,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.76, mean=-0.1904, std=2.497, absmax=10.96 +2025-11-04 13:22:31,016 ERROR: Encountered non-finite generator loss at iter 21090; skipping update. +2025-11-04 13:22:31,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:31,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.74, mean=-0.1258, std=3.093, absmax=13.3 +2025-11-04 13:22:31,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=11.73, mean=-0.1272, std=2.873, absmax=11.73 +2025-11-04 13:22:31,376 ERROR: Encountered non-finite generator loss at iter 21091; skipping update. +2025-11-04 13:22:31,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:31,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=14.79, mean=-0.1704, std=3.297, absmax=14.79 +2025-11-04 13:22:31,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.62, max=13.69, mean=-0.1372, std=3.027, absmax=13.69 +2025-11-04 13:22:31,736 ERROR: Encountered non-finite generator loss at iter 21092; skipping update. +2025-11-04 13:22:31,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:31,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:31,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=12.03, mean=-0.2574, std=2.851, absmax=14.64 +2025-11-04 13:22:31,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=10.67, mean=-0.279, std=2.641, absmax=12.41 +2025-11-04 13:22:32,097 ERROR: Encountered non-finite generator loss at iter 21093; skipping update. +2025-11-04 13:22:32,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:32,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.88, mean=-0.1379, std=3.119, absmax=13.34 +2025-11-04 13:22:32,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.61, mean=-0.1129, std=2.855, absmax=12.37 +2025-11-04 13:22:32,456 ERROR: Encountered non-finite generator loss at iter 21094; skipping update. +2025-11-04 13:22:32,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:32,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=15.99, mean=-0.1587, std=3.176, absmax=15.99 +2025-11-04 13:22:32,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=12.57, mean=-0.147, std=2.899, absmax=12.57 +2025-11-04 13:22:32,816 ERROR: Encountered non-finite generator loss at iter 21095; skipping update. +2025-11-04 13:22:32,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:32,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:32,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=14.29, mean=-0.03282, std=3.389, absmax=14.29 +2025-11-04 13:22:32,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=13.46, mean=0.003971, std=3.257, absmax=13.46 +2025-11-04 13:22:33,176 ERROR: Encountered non-finite generator loss at iter 21096; skipping update. +2025-11-04 13:22:33,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:33,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=15.55, mean=-0.04176, std=3.245, absmax=15.55 +2025-11-04 13:22:33,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=14.17, mean=-0.05133, std=3.003, absmax=14.17 +2025-11-04 13:22:33,536 ERROR: Encountered non-finite generator loss at iter 21097; skipping update. +2025-11-04 13:22:33,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:33,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.49, mean=-0.06954, std=2.818, absmax=12.49 +2025-11-04 13:22:33,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.17, mean=-0.0277, std=2.607, absmax=10.34 +2025-11-04 13:22:33,896 ERROR: Encountered non-finite generator loss at iter 21098; skipping update. +2025-11-04 13:22:33,897 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,898 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:33,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:33,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.03, mean=-0.066, std=2.686, absmax=13.03 +2025-11-04 13:22:33,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.37, mean=-0.06919, std=2.475, absmax=11.41 +2025-11-04 13:22:34,256 ERROR: Encountered non-finite generator loss at iter 21099; skipping update. +2025-11-04 13:22:34,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,258 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:34,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.72, mean=-0.128, std=3.112, absmax=13.72 +2025-11-04 13:22:34,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.31, mean=-0.1142, std=2.937, absmax=12.31 +2025-11-04 13:22:34,616 ERROR: Encountered non-finite generator loss at iter 21100; skipping update. +2025-11-04 13:22:34,617 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:34,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=13.07, mean=-0.1434, std=2.873, absmax=13.07 +2025-11-04 13:22:34,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=12.15, mean=-0.1678, std=2.649, absmax=12.15 +2025-11-04 13:22:34,620 INFO: [38..][epoch: 0, step: 21,100, lr:(2.000e-04,)] [eta: 1 day, 7:27:33, time (data): 0.361 (0.000)] +2025-11-04 13:22:34,977 ERROR: Encountered non-finite generator loss at iter 21101; skipping update. +2025-11-04 13:22:34,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:34,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:34,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.14, mean=-0.1132, std=2.739, absmax=12.14 +2025-11-04 13:22:34,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.21, mean=-0.1404, std=2.601, absmax=11.91 +2025-11-04 13:22:35,337 ERROR: Encountered non-finite generator loss at iter 21102; skipping update. +2025-11-04 13:22:35,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:35,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:35,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:35,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:35,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.33, mean=-0.2693, std=3.276, absmax=11.61 +2025-11-04 13:22:35,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=11.3, mean=-0.2604, std=3.184, absmax=12.01 +2025-11-04 13:22:35,697 ERROR: Encountered non-finite generator loss at iter 21103; skipping update. +2025-11-04 13:22:35,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:35,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:35,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:35,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:35,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.73, mean=-0.2955, std=2.769, absmax=13.03 +2025-11-04 13:22:35,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.96, mean=-0.3095, std=2.627, absmax=11.96 +2025-11-04 13:22:36,056 ERROR: Encountered non-finite generator loss at iter 21104; skipping update. +2025-11-04 13:22:36,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:36,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.81, mean=0.1372, std=3.223, absmax=13.61 +2025-11-04 13:22:36,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=12.56, mean=0.1078, std=2.927, absmax=12.56 +2025-11-04 13:22:36,416 ERROR: Encountered non-finite generator loss at iter 21105; skipping update. +2025-11-04 13:22:36,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:36,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=13.07, mean=-0.2497, std=3.143, absmax=15.76 +2025-11-04 13:22:36,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=11.72, mean=-0.2303, std=2.924, absmax=12.48 +2025-11-04 13:22:36,776 ERROR: Encountered non-finite generator loss at iter 21106; skipping update. +2025-11-04 13:22:36,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,778 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:36,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:36,779 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.95, mean=-0.2004, std=2.802, absmax=12.57 +2025-11-04 13:22:36,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=11.02, mean=-0.1935, std=2.683, absmax=12.54 +2025-11-04 13:22:37,136 ERROR: Encountered non-finite generator loss at iter 21107; skipping update. +2025-11-04 13:22:37,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:37,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=13.88, mean=-0.1939, std=3.412, absmax=14.55 +2025-11-04 13:22:37,139 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=12.09, mean=-0.1523, std=3.266, absmax=13.47 +2025-11-04 13:22:37,496 ERROR: Encountered non-finite generator loss at iter 21108; skipping update. +2025-11-04 13:22:37,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:37,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.91, mean=-0.07572, std=3.681, absmax=13.91 +2025-11-04 13:22:37,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=13.09, mean=-0.1316, std=3.387, absmax=13.54 +2025-11-04 13:22:37,857 ERROR: Encountered non-finite generator loss at iter 21109; skipping update. +2025-11-04 13:22:37,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:37,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:37,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=20.4, mean=-0.1854, std=2.605, absmax=20.4 +2025-11-04 13:22:37,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=17.24, mean=-0.1701, std=2.453, absmax=17.24 +2025-11-04 13:22:38,218 ERROR: Encountered non-finite generator loss at iter 21110; skipping update. +2025-11-04 13:22:38,219 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,220 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,220 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:38,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.54, max=11.79, mean=-0.1044, std=2.806, absmax=11.79 +2025-11-04 13:22:38,221 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.761, max=10.52, mean=-0.09232, std=2.726, absmax=10.52 +2025-11-04 13:22:38,578 ERROR: Encountered non-finite generator loss at iter 21111; skipping update. +2025-11-04 13:22:38,579 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,580 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,580 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:38,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=14.49, mean=-0.06464, std=2.788, absmax=14.49 +2025-11-04 13:22:38,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=12.53, mean=-0.08764, std=2.462, absmax=12.53 +2025-11-04 13:22:38,938 ERROR: Encountered non-finite generator loss at iter 21112; skipping update. +2025-11-04 13:22:38,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,940 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:38,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:38,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=14.64, mean=-0.2139, std=2.935, absmax=14.64 +2025-11-04 13:22:38,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=10.21, mean=-0.1734, std=2.754, absmax=11.78 +2025-11-04 13:22:39,298 ERROR: Encountered non-finite generator loss at iter 21113; skipping update. +2025-11-04 13:22:39,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:39,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:39,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:39,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:39,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=15.52, mean=0.2237, std=3.946, absmax=15.52 +2025-11-04 13:22:39,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=15.6, mean=0.2501, std=3.87, absmax=15.6 +2025-11-04 13:22:39,658 ERROR: Encountered non-finite generator loss at iter 21114; skipping update. +2025-11-04 13:22:39,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:39,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:39,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:39,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:39,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.73, mean=-0.2619, std=3.527, absmax=13.24 +2025-11-04 13:22:39,661 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.68, mean=-0.3038, std=3.313, absmax=12.72 +2025-11-04 13:22:40,018 ERROR: Encountered non-finite generator loss at iter 21115; skipping update. +2025-11-04 13:22:40,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:40,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=13.78, mean=-0.05463, std=2.945, absmax=13.78 +2025-11-04 13:22:40,022 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.344, max=12.9, mean=-0.07134, std=2.732, absmax=12.9 +2025-11-04 13:22:40,378 ERROR: Encountered non-finite generator loss at iter 21116; skipping update. +2025-11-04 13:22:40,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:40,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.74, mean=-0.2591, std=2.297, absmax=12.74 +2025-11-04 13:22:40,382 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=9.454, mean=-0.2578, std=2.172, absmax=11.51 +2025-11-04 13:22:40,739 ERROR: Encountered non-finite generator loss at iter 21117; skipping update. +2025-11-04 13:22:40,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:40,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:40,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.8, mean=-0.213, std=2.901, absmax=13.22 +2025-11-04 13:22:40,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=12.39, mean=-0.1763, std=2.636, absmax=12.39 +2025-11-04 13:22:41,099 ERROR: Encountered non-finite generator loss at iter 21118; skipping update. +2025-11-04 13:22:41,100 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,101 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:41,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=10.2, mean=-0.2091, std=2.481, absmax=11.66 +2025-11-04 13:22:41,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=10, mean=-0.2238, std=2.417, absmax=10.13 +2025-11-04 13:22:41,459 ERROR: Encountered non-finite generator loss at iter 21119; skipping update. +2025-11-04 13:22:41,460 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,461 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,461 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:41,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=10.49, mean=-0.245, std=2.752, absmax=12.75 +2025-11-04 13:22:41,462 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.28, mean=-0.2096, std=2.595, absmax=11.57 +2025-11-04 13:22:41,819 ERROR: Encountered non-finite generator loss at iter 21120; skipping update. +2025-11-04 13:22:41,820 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,821 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,821 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:41,821 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:41,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=16.08, mean=-0.08251, std=2.92, absmax=16.08 +2025-11-04 13:22:41,823 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=12.71, mean=-0.09011, std=2.641, absmax=12.71 +2025-11-04 13:22:42,179 ERROR: Encountered non-finite generator loss at iter 21121; skipping update. +2025-11-04 13:22:42,180 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:42,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.53, mean=-0.2332, std=2.832, absmax=12.53 +2025-11-04 13:22:42,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=11.71, mean=-0.179, std=2.6, absmax=11.71 +2025-11-04 13:22:42,541 ERROR: Encountered non-finite generator loss at iter 21122; skipping update. +2025-11-04 13:22:42,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,543 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:42,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=15.81, mean=0.2146, std=3.844, absmax=15.81 +2025-11-04 13:22:42,544 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=15.86, mean=0.1818, std=3.658, absmax=15.86 +2025-11-04 13:22:42,901 ERROR: Encountered non-finite generator loss at iter 21123; skipping update. +2025-11-04 13:22:42,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:42,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:42,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.5, mean=-0.1058, std=2.699, absmax=13.5 +2025-11-04 13:22:42,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=12.9, mean=-0.09944, std=2.526, absmax=12.9 +2025-11-04 13:22:43,261 ERROR: Encountered non-finite generator loss at iter 21124; skipping update. +2025-11-04 13:22:43,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,263 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:43,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=14.42, mean=-0.01367, std=3.308, absmax=14.58 +2025-11-04 13:22:43,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=13, mean=-0.02579, std=3.035, absmax=13 +2025-11-04 13:22:43,621 ERROR: Encountered non-finite generator loss at iter 21125; skipping update. +2025-11-04 13:22:43,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:43,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=14.8, mean=-0.07766, std=3.136, absmax=14.8 +2025-11-04 13:22:43,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=13.3, mean=-0.03482, std=2.986, absmax=13.3 +2025-11-04 13:22:43,981 ERROR: Encountered non-finite generator loss at iter 21126; skipping update. +2025-11-04 13:22:43,982 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,983 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:43,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:43,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=15.25, mean=0.01941, std=3.451, absmax=15.25 +2025-11-04 13:22:43,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=13.89, mean=0.03799, std=3.227, absmax=13.89 +2025-11-04 13:22:44,341 ERROR: Encountered non-finite generator loss at iter 21127; skipping update. +2025-11-04 13:22:44,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:44,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:44,343 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:44,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:44,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.41, mean=-0.2777, std=3.052, absmax=13.81 +2025-11-04 13:22:44,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.9, max=11.34, mean=-0.2571, std=2.848, absmax=13.9 +2025-11-04 13:22:44,702 ERROR: Encountered non-finite generator loss at iter 21128; skipping update. +2025-11-04 13:22:44,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:44,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:44,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:44,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:44,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.24, mean=-0.25, std=2.915, absmax=13.24 +2025-11-04 13:22:44,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.81, mean=-0.2374, std=2.798, absmax=11.86 +2025-11-04 13:22:45,062 ERROR: Encountered non-finite generator loss at iter 21129; skipping update. +2025-11-04 13:22:45,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,063 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:45,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.85, mean=-0.03032, std=2.798, absmax=12.54 +2025-11-04 13:22:45,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.734, max=10.92, mean=-0.02114, std=2.674, absmax=10.92 +2025-11-04 13:22:45,422 ERROR: Encountered non-finite generator loss at iter 21130; skipping update. +2025-11-04 13:22:45,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:45,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.72, max=15.41, mean=-0.3472, std=3.531, absmax=15.41 +2025-11-04 13:22:45,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=13.04, mean=-0.3307, std=3.312, absmax=13.04 +2025-11-04 13:22:45,782 ERROR: Encountered non-finite generator loss at iter 21131; skipping update. +2025-11-04 13:22:45,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:45,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:45,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.51, max=17.02, mean=-0.3031, std=3.264, absmax=17.02 +2025-11-04 13:22:45,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.56, max=12.67, mean=-0.2494, std=3.109, absmax=14.56 +2025-11-04 13:22:46,142 ERROR: Encountered non-finite generator loss at iter 21132; skipping update. +2025-11-04 13:22:46,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,144 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:46,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.25, mean=-0.1685, std=2.658, absmax=13.25 +2025-11-04 13:22:46,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=9.437, mean=-0.1295, std=2.477, absmax=10.76 +2025-11-04 13:22:46,502 ERROR: Encountered non-finite generator loss at iter 21133; skipping update. +2025-11-04 13:22:46,503 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,504 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:46,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=16.5, mean=0.07771, std=2.893, absmax=16.5 +2025-11-04 13:22:46,506 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.03, mean=0.03318, std=2.626, absmax=12.03 +2025-11-04 13:22:46,862 ERROR: Encountered non-finite generator loss at iter 21134; skipping update. +2025-11-04 13:22:46,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:46,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:46,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=14.91, mean=0.06723, std=3.634, absmax=14.91 +2025-11-04 13:22:46,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=13.59, mean=0.08884, std=3.34, absmax=13.59 +2025-11-04 13:22:47,222 ERROR: Encountered non-finite generator loss at iter 21135; skipping update. +2025-11-04 13:22:47,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:47,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=11.47, mean=-0.2362, std=2.604, absmax=11.47 +2025-11-04 13:22:47,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=9.756, mean=-0.1858, std=2.525, absmax=12.12 +2025-11-04 13:22:47,582 ERROR: Encountered non-finite generator loss at iter 21136; skipping update. +2025-11-04 13:22:47,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:47,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=10.9, mean=-0.1712, std=2.876, absmax=14.35 +2025-11-04 13:22:47,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=10.28, mean=-0.1899, std=2.779, absmax=12.71 +2025-11-04 13:22:47,942 ERROR: Encountered non-finite generator loss at iter 21137; skipping update. +2025-11-04 13:22:47,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,944 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:47,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:47,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=18.43, mean=-0.01342, std=3.352, absmax=18.43 +2025-11-04 13:22:47,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=17.01, mean=0.01064, std=3.159, absmax=17.01 +2025-11-04 13:22:48,302 ERROR: Encountered non-finite generator loss at iter 21138; skipping update. +2025-11-04 13:22:48,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:48,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:48,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:48,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:48,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-20.67, max=14.16, mean=-0.3376, std=3.227, absmax=20.67 +2025-11-04 13:22:48,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-17.3, max=14.2, mean=-0.3036, std=3.004, absmax=17.3 +2025-11-04 13:22:48,661 ERROR: Encountered non-finite generator loss at iter 21139; skipping update. +2025-11-04 13:22:48,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:48,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:48,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:48,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:48,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.01, mean=-0.2356, std=2.686, absmax=12.62 +2025-11-04 13:22:48,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=10.47, mean=-0.2183, std=2.508, absmax=10.47 +2025-11-04 13:22:49,022 ERROR: Encountered non-finite generator loss at iter 21140; skipping update. +2025-11-04 13:22:49,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:49,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=11.26, mean=-0.0868, std=2.762, absmax=11.26 +2025-11-04 13:22:49,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.441, max=10.43, mean=-0.05609, std=2.58, absmax=10.43 +2025-11-04 13:22:49,382 ERROR: Encountered non-finite generator loss at iter 21141; skipping update. +2025-11-04 13:22:49,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:49,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.35, mean=-0.3162, std=3.216, absmax=14.35 +2025-11-04 13:22:49,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=12.47, mean=-0.3142, std=2.911, absmax=12.47 +2025-11-04 13:22:49,742 ERROR: Encountered non-finite generator loss at iter 21142; skipping update. +2025-11-04 13:22:49,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:49,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:49,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.03, mean=-0.2022, std=2.982, absmax=13.27 +2025-11-04 13:22:49,745 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=10.4, mean=-0.1925, std=2.77, absmax=12.27 +2025-11-04 13:22:50,102 ERROR: Encountered non-finite generator loss at iter 21143; skipping update. +2025-11-04 13:22:50,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,104 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:50,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.41, mean=-0.1718, std=3.285, absmax=13.41 +2025-11-04 13:22:50,105 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.77, mean=-0.1594, std=3.032, absmax=11.77 +2025-11-04 13:22:50,462 ERROR: Encountered non-finite generator loss at iter 21144; skipping update. +2025-11-04 13:22:50,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,464 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:50,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.48, mean=-0.1139, std=2.852, absmax=12.48 +2025-11-04 13:22:50,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=10.35, mean=-0.0789, std=2.644, absmax=11.29 +2025-11-04 13:22:50,822 ERROR: Encountered non-finite generator loss at iter 21145; skipping update. +2025-11-04 13:22:50,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:50,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:50,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.43, mean=-0.1014, std=2.916, absmax=12.57 +2025-11-04 13:22:50,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.01, mean=-0.1279, std=2.714, absmax=11.55 +2025-11-04 13:22:51,182 ERROR: Encountered non-finite generator loss at iter 21146; skipping update. +2025-11-04 13:22:51,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:51,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=10.92, mean=-0.2364, std=2.565, absmax=13.44 +2025-11-04 13:22:51,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=9.962, mean=-0.2565, std=2.426, absmax=11.58 +2025-11-04 13:22:51,542 ERROR: Encountered non-finite generator loss at iter 21147; skipping update. +2025-11-04 13:22:51,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:51,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=14.82, mean=0.1601, std=3.667, absmax=14.82 +2025-11-04 13:22:51,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=13.82, mean=0.09555, std=3.503, absmax=13.82 +2025-11-04 13:22:51,901 ERROR: Encountered non-finite generator loss at iter 21148; skipping update. +2025-11-04 13:22:51,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:51,904 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:51,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.45, mean=-0.2148, std=2.807, absmax=12.82 +2025-11-04 13:22:51,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=10.96, mean=-0.2264, std=2.67, absmax=11.4 +2025-11-04 13:22:52,261 ERROR: Encountered non-finite generator loss at iter 21149; skipping update. +2025-11-04 13:22:52,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:52,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.7, mean=-0.2204, std=3.022, absmax=12.69 +2025-11-04 13:22:52,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=10.58, mean=-0.2012, std=2.871, absmax=11.49 +2025-11-04 13:22:52,622 ERROR: Encountered non-finite generator loss at iter 21150; skipping update. +2025-11-04 13:22:52,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:52,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.86, mean=-0.129, std=2.724, absmax=13.86 +2025-11-04 13:22:52,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=13.02, mean=-0.1117, std=2.472, absmax=13.02 +2025-11-04 13:22:52,982 ERROR: Encountered non-finite generator loss at iter 21151; skipping update. +2025-11-04 13:22:52,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:52,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:52,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.74, mean=-0.201, std=3.416, absmax=13.18 +2025-11-04 13:22:52,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=10.83, mean=-0.1782, std=3.193, absmax=13.11 +2025-11-04 13:22:53,342 ERROR: Encountered non-finite generator loss at iter 21152; skipping update. +2025-11-04 13:22:53,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:53,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:53,343 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:53,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:53,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.7, mean=0.009094, std=3.061, absmax=12.85 +2025-11-04 13:22:53,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=11.63, mean=0.00698, std=2.765, absmax=11.63 +2025-11-04 13:22:53,702 ERROR: Encountered non-finite generator loss at iter 21153; skipping update. +2025-11-04 13:22:53,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:53,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:53,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:53,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:53,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.24, mean=-0.0279, std=3.152, absmax=13.24 +2025-11-04 13:22:53,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=12.88, mean=0.006943, std=3.139, absmax=12.88 +2025-11-04 13:22:54,062 ERROR: Encountered non-finite generator loss at iter 21154; skipping update. +2025-11-04 13:22:54,062 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,063 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,063 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:54,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=14.08, mean=-0.07182, std=3.11, absmax=14.08 +2025-11-04 13:22:54,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=13.52, mean=-0.04125, std=2.975, absmax=13.52 +2025-11-04 13:22:54,421 ERROR: Encountered non-finite generator loss at iter 21155; skipping update. +2025-11-04 13:22:54,422 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,423 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:54,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=15.93, mean=-0.05221, std=3.11, absmax=15.93 +2025-11-04 13:22:54,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=14.38, mean=-0.01691, std=2.89, absmax=14.38 +2025-11-04 13:22:54,781 ERROR: Encountered non-finite generator loss at iter 21156; skipping update. +2025-11-04 13:22:54,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:54,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:54,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.37, mean=-0.1017, std=3.101, absmax=13.23 +2025-11-04 13:22:54,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.73, max=10.32, mean=-0.0757, std=2.898, absmax=13.73 +2025-11-04 13:22:55,141 ERROR: Encountered non-finite generator loss at iter 21157; skipping update. +2025-11-04 13:22:55,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:55,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=10.31, mean=-0.2323, std=2.844, absmax=13.14 +2025-11-04 13:22:55,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=9.192, mean=-0.2447, std=2.713, absmax=12.65 +2025-11-04 13:22:55,501 ERROR: Encountered non-finite generator loss at iter 21158; skipping update. +2025-11-04 13:22:55,503 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,504 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:55,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=14.88, mean=-0.1505, std=2.855, absmax=14.88 +2025-11-04 13:22:55,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=13.06, mean=-0.1943, std=2.683, absmax=13.06 +2025-11-04 13:22:55,861 ERROR: Encountered non-finite generator loss at iter 21159; skipping update. +2025-11-04 13:22:55,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,863 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:55,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:55,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.59, mean=-0.2433, std=2.884, absmax=13.1 +2025-11-04 13:22:55,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=10.38, mean=-0.2224, std=2.709, absmax=12.65 +2025-11-04 13:22:56,221 ERROR: Encountered non-finite generator loss at iter 21160; skipping update. +2025-11-04 13:22:56,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:56,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.19, max=14.54, mean=-0.1061, std=3.243, absmax=17.19 +2025-11-04 13:22:56,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.88, max=13.23, mean=-0.08145, std=2.985, absmax=14.88 +2025-11-04 13:22:56,581 ERROR: Encountered non-finite generator loss at iter 21161; skipping update. +2025-11-04 13:22:56,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:56,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=15.11, mean=-0.03779, std=3.11, absmax=15.11 +2025-11-04 13:22:56,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=12.88, mean=-0.05978, std=2.802, absmax=12.88 +2025-11-04 13:22:56,941 ERROR: Encountered non-finite generator loss at iter 21162; skipping update. +2025-11-04 13:22:56,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:56,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:56,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.64, mean=-0.01437, std=3.152, absmax=13.64 +2025-11-04 13:22:56,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.35, mean=0.009626, std=2.89, absmax=12.35 +2025-11-04 13:22:57,301 ERROR: Encountered non-finite generator loss at iter 21163; skipping update. +2025-11-04 13:22:57,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:57,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:57,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:57,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:57,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=11.14, mean=-0.2554, std=2.779, absmax=11.7 +2025-11-04 13:22:57,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=10.18, mean=-0.2208, std=2.622, absmax=10.92 +2025-11-04 13:22:57,660 ERROR: Encountered non-finite generator loss at iter 21164; skipping update. +2025-11-04 13:22:57,661 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:57,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:57,662 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:57,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:57,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.7, mean=-0.209, std=2.724, absmax=12.7 +2025-11-04 13:22:57,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=12.04, mean=-0.2093, std=2.647, absmax=12.04 +2025-11-04 13:22:58,021 ERROR: Encountered non-finite generator loss at iter 21165; skipping update. +2025-11-04 13:22:58,021 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,022 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,023 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:58,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=10.86, mean=-0.175, std=2.688, absmax=14.47 +2025-11-04 13:22:58,024 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=10.51, mean=-0.1723, std=2.568, absmax=13.07 +2025-11-04 13:22:58,380 ERROR: Encountered non-finite generator loss at iter 21166; skipping update. +2025-11-04 13:22:58,382 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,382 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,383 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:58,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.37, mean=-0.05184, std=3.104, absmax=13.37 +2025-11-04 13:22:58,384 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=11.75, mean=-0.07176, std=2.851, absmax=11.75 +2025-11-04 13:22:58,740 ERROR: Encountered non-finite generator loss at iter 21167; skipping update. +2025-11-04 13:22:58,742 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,742 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:58,743 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:58,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.94, mean=-0.1943, std=3.305, absmax=13.78 +2025-11-04 13:22:58,744 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=12.07, mean=-0.1557, std=3.202, absmax=13.23 +2025-11-04 13:22:59,101 ERROR: Encountered non-finite generator loss at iter 21168; skipping update. +2025-11-04 13:22:59,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,102 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:59,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=17.75, mean=-0.05801, std=2.996, absmax=17.75 +2025-11-04 13:22:59,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=13.01, mean=-0.03815, std=2.906, absmax=13.01 +2025-11-04 13:22:59,461 ERROR: Encountered non-finite generator loss at iter 21169; skipping update. +2025-11-04 13:22:59,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,462 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,463 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:59,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=16.07, mean=-0.1386, std=3.236, absmax=16.07 +2025-11-04 13:22:59,464 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=14.81, mean=-0.1053, std=2.972, absmax=14.81 +2025-11-04 13:22:59,820 ERROR: Encountered non-finite generator loss at iter 21170; skipping update. +2025-11-04 13:22:59,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,822 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:22:59,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:22:59,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.2, mean=-0.1592, std=3.047, absmax=14.2 +2025-11-04 13:22:59,824 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=11.98, mean=-0.115, std=2.809, absmax=12.79 +2025-11-04 13:23:00,180 ERROR: Encountered non-finite generator loss at iter 21171; skipping update. +2025-11-04 13:23:00,181 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,182 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,182 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:00,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.98, max=11.48, mean=-0.08154, std=2.815, absmax=11.48 +2025-11-04 13:23:00,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=10.15, mean=-0.08178, std=2.655, absmax=10.36 +2025-11-04 13:23:00,540 ERROR: Encountered non-finite generator loss at iter 21172; skipping update. +2025-11-04 13:23:00,541 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,542 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,543 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:00,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=16.18, mean=-0.1211, std=3.858, absmax=16.18 +2025-11-04 13:23:00,544 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=14.17, mean=-0.1023, std=3.65, absmax=14.17 +2025-11-04 13:23:00,901 ERROR: Encountered non-finite generator loss at iter 21173; skipping update. +2025-11-04 13:23:00,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:00,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:00,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.58, max=14.68, mean=-0.2269, std=3.447, absmax=15.58 +2025-11-04 13:23:00,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.62, max=12.78, mean=-0.2268, std=3.264, absmax=13.62 +2025-11-04 13:23:01,261 ERROR: Encountered non-finite generator loss at iter 21174; skipping update. +2025-11-04 13:23:01,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,263 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:01,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.07, max=17.3, mean=-0.3076, std=2.932, absmax=17.3 +2025-11-04 13:23:01,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=14.74, mean=-0.3335, std=2.781, absmax=14.74 +2025-11-04 13:23:01,621 ERROR: Encountered non-finite generator loss at iter 21175; skipping update. +2025-11-04 13:23:01,622 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,623 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:01,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.99, mean=-0.0524, std=3.292, absmax=13.99 +2025-11-04 13:23:01,624 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=12.99, mean=-0.07786, std=3.111, absmax=12.99 +2025-11-04 13:23:01,981 ERROR: Encountered non-finite generator loss at iter 21176; skipping update. +2025-11-04 13:23:01,982 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,983 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:01,983 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:01,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=14.39, mean=0.1039, std=3.259, absmax=14.39 +2025-11-04 13:23:01,984 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.02, max=13.37, mean=0.1056, std=3.057, absmax=14.02 +2025-11-04 13:23:02,341 ERROR: Encountered non-finite generator loss at iter 21177; skipping update. +2025-11-04 13:23:02,342 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:02,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:02,343 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:02,343 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:02,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.23, mean=0.005397, std=3.082, absmax=13.26 +2025-11-04 13:23:02,344 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.3, mean=0.005129, std=2.859, absmax=12.07 +2025-11-04 13:23:02,701 ERROR: Encountered non-finite generator loss at iter 21178; skipping update. +2025-11-04 13:23:02,702 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:02,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:02,703 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:02,703 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:02,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=10.92, mean=-0.2831, std=2.756, absmax=12.86 +2025-11-04 13:23:02,704 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=9.613, mean=-0.2541, std=2.597, absmax=11.53 +2025-11-04 13:23:03,061 ERROR: Encountered non-finite generator loss at iter 21179; skipping update. +2025-11-04 13:23:03,062 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,063 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,063 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:03,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.22, mean=-0.1364, std=3.242, absmax=13.22 +2025-11-04 13:23:03,064 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=12.25, mean=-0.08126, std=3.041, absmax=12.25 +2025-11-04 13:23:03,421 ERROR: Encountered non-finite generator loss at iter 21180; skipping update. +2025-11-04 13:23:03,422 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,423 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,423 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:03,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.93, mean=-0.2607, std=2.805, absmax=14.93 +2025-11-04 13:23:03,424 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.75, mean=-0.2534, std=2.591, absmax=12.41 +2025-11-04 13:23:03,781 ERROR: Encountered non-finite generator loss at iter 21181; skipping update. +2025-11-04 13:23:03,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:03,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:03,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.91, max=16.25, mean=-0.2452, std=3.155, absmax=16.25 +2025-11-04 13:23:03,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.9, max=14.44, mean=-0.2198, std=2.97, absmax=14.9 +2025-11-04 13:23:04,141 ERROR: Encountered non-finite generator loss at iter 21182; skipping update. +2025-11-04 13:23:04,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:04,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=11.62, mean=-0.09994, std=2.588, absmax=11.62 +2025-11-04 13:23:04,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=10.98, mean=-0.08575, std=2.514, absmax=10.98 +2025-11-04 13:23:04,502 ERROR: Encountered non-finite generator loss at iter 21183; skipping update. +2025-11-04 13:23:04,503 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,504 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,504 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:04,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.66, mean=-0.2229, std=3.334, absmax=13.81 +2025-11-04 13:23:04,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=12.69, mean=-0.1794, std=3.031, absmax=12.69 +2025-11-04 13:23:04,861 ERROR: Encountered non-finite generator loss at iter 21184; skipping update. +2025-11-04 13:23:04,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:04,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:04,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.44, mean=-0.05479, std=3.111, absmax=12.54 +2025-11-04 13:23:04,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=12.44, mean=-0.02646, std=2.909, absmax=12.44 +2025-11-04 13:23:05,222 ERROR: Encountered non-finite generator loss at iter 21185; skipping update. +2025-11-04 13:23:05,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:05,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.33, mean=-0.09087, std=3.748, absmax=13.33 +2025-11-04 13:23:05,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=12.22, mean=-0.0911, std=3.423, absmax=12.22 +2025-11-04 13:23:05,582 ERROR: Encountered non-finite generator loss at iter 21186; skipping update. +2025-11-04 13:23:05,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,584 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:05,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=10.7, mean=-0.05131, std=2.718, absmax=12.54 +2025-11-04 13:23:05,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=9.848, mean=-0.04831, std=2.481, absmax=12.26 +2025-11-04 13:23:05,942 ERROR: Encountered non-finite generator loss at iter 21187; skipping update. +2025-11-04 13:23:05,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:05,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:05,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=13.85, mean=-0.1615, std=2.673, absmax=13.85 +2025-11-04 13:23:05,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=11.99, mean=-0.1553, std=2.466, absmax=11.99 +2025-11-04 13:23:06,302 ERROR: Encountered non-finite generator loss at iter 21188; skipping update. +2025-11-04 13:23:06,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:06,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:06,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:06,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:06,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.46, mean=-0.1959, std=3.027, absmax=13.33 +2025-11-04 13:23:06,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=9.404, mean=-0.2062, std=2.845, absmax=11.49 +2025-11-04 13:23:06,662 ERROR: Encountered non-finite generator loss at iter 21189; skipping update. +2025-11-04 13:23:06,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:06,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:06,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:06,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:06,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=15.05, mean=-0.04629, std=3.235, absmax=15.05 +2025-11-04 13:23:06,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.59, max=13.56, mean=-0.08844, std=2.964, absmax=13.59 +2025-11-04 13:23:07,022 ERROR: Encountered non-finite generator loss at iter 21190; skipping update. +2025-11-04 13:23:07,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:07,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.1, mean=-0.1483, std=2.616, absmax=11.65 +2025-11-04 13:23:07,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=9.082, mean=-0.1379, std=2.342, absmax=10.42 +2025-11-04 13:23:07,382 ERROR: Encountered non-finite generator loss at iter 21191; skipping update. +2025-11-04 13:23:07,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:07,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=11.38, mean=-0.2784, std=2.502, absmax=11.38 +2025-11-04 13:23:07,386 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=9.222, mean=-0.2642, std=2.48, absmax=11.09 +2025-11-04 13:23:07,742 ERROR: Encountered non-finite generator loss at iter 21192; skipping update. +2025-11-04 13:23:07,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:07,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:07,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.46, mean=-0.065, std=2.821, absmax=12.46 +2025-11-04 13:23:07,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.52, mean=-0.07604, std=2.521, absmax=10.52 +2025-11-04 13:23:08,103 ERROR: Encountered non-finite generator loss at iter 21193; skipping update. +2025-11-04 13:23:08,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:08,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=15.05, mean=-0.1782, std=3.333, absmax=15.05 +2025-11-04 13:23:08,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=12.62, mean=-0.1357, std=3.046, absmax=12.62 +2025-11-04 13:23:08,463 ERROR: Encountered non-finite generator loss at iter 21194; skipping update. +2025-11-04 13:23:08,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:08,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.87, mean=0.07898, std=3.022, absmax=12.87 +2025-11-04 13:23:08,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.5, mean=0.08787, std=2.786, absmax=11.5 +2025-11-04 13:23:08,822 ERROR: Encountered non-finite generator loss at iter 21195; skipping update. +2025-11-04 13:23:08,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:08,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:08,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=17.47, mean=0.03054, std=3.026, absmax=17.47 +2025-11-04 13:23:08,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=15.75, mean=0.03917, std=2.798, absmax=15.75 +2025-11-04 13:23:09,182 ERROR: Encountered non-finite generator loss at iter 21196; skipping update. +2025-11-04 13:23:09,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:09,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.48, mean=-0.3516, std=2.471, absmax=14.48 +2025-11-04 13:23:09,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=11.03, mean=-0.2862, std=2.387, absmax=12.67 +2025-11-04 13:23:09,542 ERROR: Encountered non-finite generator loss at iter 21197; skipping update. +2025-11-04 13:23:09,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:09,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.75, mean=-0.08903, std=3.161, absmax=14.75 +2025-11-04 13:23:09,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.32, max=13.76, mean=-0.1096, std=2.928, absmax=13.76 +2025-11-04 13:23:09,903 ERROR: Encountered non-finite generator loss at iter 21198; skipping update. +2025-11-04 13:23:09,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:09,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:09,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.29, mean=-0.2744, std=2.752, absmax=13.15 +2025-11-04 13:23:09,906 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=10.52, mean=-0.2464, std=2.537, absmax=10.78 +2025-11-04 13:23:10,262 ERROR: Encountered non-finite generator loss at iter 21199; skipping update. +2025-11-04 13:23:10,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:10,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=14.9, mean=-0.2655, std=3.648, absmax=14.9 +2025-11-04 13:23:10,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.2, max=11.69, mean=-0.2772, std=3.477, absmax=13.2 +2025-11-04 13:23:10,622 ERROR: Encountered non-finite generator loss at iter 21200; skipping update. +2025-11-04 13:23:10,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:10,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.88, mean=-0.08501, std=2.813, absmax=12.88 +2025-11-04 13:23:10,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.52, mean=-0.0517, std=2.644, absmax=11.52 +2025-11-04 13:23:10,627 INFO: [38..][epoch: 0, step: 21,200, lr:(2.000e-04,)] [eta: 1 day, 7:19:46, time (data): 0.360 (0.000)] +2025-11-04 13:23:10,983 ERROR: Encountered non-finite generator loss at iter 21201; skipping update. +2025-11-04 13:23:10,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:10,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:10,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=11.71, mean=-0.326, std=3.647, absmax=14.18 +2025-11-04 13:23:10,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.44, max=10.14, mean=-0.2983, std=3.426, absmax=13.44 +2025-11-04 13:23:11,342 ERROR: Encountered non-finite generator loss at iter 21202; skipping update. +2025-11-04 13:23:11,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:11,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:11,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:11,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:11,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.83, mean=-0.08302, std=3.039, absmax=12.2 +2025-11-04 13:23:11,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=10.35, mean=-0.09357, std=2.696, absmax=10.61 +2025-11-04 13:23:11,703 ERROR: Encountered non-finite generator loss at iter 21203; skipping update. +2025-11-04 13:23:11,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:11,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:11,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:11,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:11,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=17.6, mean=-0.2902, std=3.486, absmax=17.6 +2025-11-04 13:23:11,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=15.78, mean=-0.2528, std=3.244, absmax=15.78 +2025-11-04 13:23:12,062 ERROR: Encountered non-finite generator loss at iter 21204; skipping update. +2025-11-04 13:23:12,064 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,065 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:12,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=15.02, mean=-0.2531, std=2.695, absmax=15.02 +2025-11-04 13:23:12,066 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=12.78, mean=-0.2779, std=2.491, absmax=12.78 +2025-11-04 13:23:12,422 ERROR: Encountered non-finite generator loss at iter 21205; skipping update. +2025-11-04 13:23:12,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:12,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=15.16, mean=0.0317, std=3.652, absmax=15.16 +2025-11-04 13:23:12,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=15.04, mean=0.02059, std=3.45, absmax=15.04 +2025-11-04 13:23:12,782 ERROR: Encountered non-finite generator loss at iter 21206; skipping update. +2025-11-04 13:23:12,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:12,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:12,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=10.97, mean=-0.1326, std=2.72, absmax=11.94 +2025-11-04 13:23:12,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=10.8, mean=-0.1425, std=2.607, absmax=13.05 +2025-11-04 13:23:13,142 ERROR: Encountered non-finite generator loss at iter 21207; skipping update. +2025-11-04 13:23:13,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,144 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,145 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:13,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13, mean=-0.1007, std=2.755, absmax=13 +2025-11-04 13:23:13,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=11.63, mean=-0.07754, std=2.552, absmax=11.63 +2025-11-04 13:23:13,503 ERROR: Encountered non-finite generator loss at iter 21208; skipping update. +2025-11-04 13:23:13,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:13,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=18.64, mean=0.05077, std=2.88, absmax=18.64 +2025-11-04 13:23:13,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=15.14, mean=0.06794, std=2.587, absmax=15.14 +2025-11-04 13:23:13,864 ERROR: Encountered non-finite generator loss at iter 21209; skipping update. +2025-11-04 13:23:13,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:13,866 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:13,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.29, mean=-0.2249, std=3.015, absmax=12.71 +2025-11-04 13:23:13,868 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=9.799, mean=-0.1951, std=2.764, absmax=11.38 +2025-11-04 13:23:14,224 ERROR: Encountered non-finite generator loss at iter 21210; skipping update. +2025-11-04 13:23:14,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:14,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.13, mean=-0.08244, std=2.539, absmax=14.13 +2025-11-04 13:23:14,228 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.91, max=11.61, mean=-0.09527, std=2.392, absmax=11.61 +2025-11-04 13:23:14,584 ERROR: Encountered non-finite generator loss at iter 21211; skipping update. +2025-11-04 13:23:14,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,586 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,586 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:14,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=14.65, mean=-0.07596, std=2.507, absmax=14.65 +2025-11-04 13:23:14,587 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.92, max=14.04, mean=-0.08064, std=2.395, absmax=14.04 +2025-11-04 13:23:14,943 ERROR: Encountered non-finite generator loss at iter 21212; skipping update. +2025-11-04 13:23:14,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:14,946 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:14,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.01, mean=-0.268, std=2.449, absmax=12.76 +2025-11-04 13:23:14,947 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=10.95, mean=-0.2609, std=2.225, absmax=10.95 +2025-11-04 13:23:15,303 ERROR: Encountered non-finite generator loss at iter 21213; skipping update. +2025-11-04 13:23:15,305 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:15,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:15,306 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:15,306 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:15,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.79, mean=-0.05401, std=3.023, absmax=12.79 +2025-11-04 13:23:15,307 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.88, mean=0.0005285, std=2.755, absmax=11.88 +2025-11-04 13:23:15,663 ERROR: Encountered non-finite generator loss at iter 21214; skipping update. +2025-11-04 13:23:15,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:15,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:15,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:15,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:15,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=10.56, mean=-0.1983, std=2.72, absmax=12.77 +2025-11-04 13:23:15,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=9.151, mean=-0.1836, std=2.476, absmax=12.91 +2025-11-04 13:23:16,024 ERROR: Encountered non-finite generator loss at iter 21215; skipping update. +2025-11-04 13:23:16,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:16,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=12.96, mean=-0.1632, std=3.06, absmax=15.09 +2025-11-04 13:23:16,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=11.55, mean=-0.1519, std=2.867, absmax=13.06 +2025-11-04 13:23:16,384 ERROR: Encountered non-finite generator loss at iter 21216; skipping update. +2025-11-04 13:23:16,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:16,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=10.59, mean=-0.1499, std=2.615, absmax=12.1 +2025-11-04 13:23:16,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=10.45, mean=-0.16, std=2.444, absmax=12.62 +2025-11-04 13:23:16,744 ERROR: Encountered non-finite generator loss at iter 21217; skipping update. +2025-11-04 13:23:16,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:16,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:16,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.87, mean=-0.1152, std=3.484, absmax=13.87 +2025-11-04 13:23:16,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=12.57, mean=-0.1066, std=3.218, absmax=12.57 +2025-11-04 13:23:17,104 ERROR: Encountered non-finite generator loss at iter 21218; skipping update. +2025-11-04 13:23:17,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:17,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=12.47, mean=-0.2091, std=2.92, absmax=14.12 +2025-11-04 13:23:17,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.56, mean=-0.1732, std=2.702, absmax=11.56 +2025-11-04 13:23:17,463 ERROR: Encountered non-finite generator loss at iter 21219; skipping update. +2025-11-04 13:23:17,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:17,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=12.2, mean=-0.06649, std=2.997, absmax=12.2 +2025-11-04 13:23:17,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=10.8, mean=-0.08695, std=2.694, absmax=10.8 +2025-11-04 13:23:17,824 ERROR: Encountered non-finite generator loss at iter 21220; skipping update. +2025-11-04 13:23:17,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:17,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:17,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=15.82, mean=-0.09071, std=2.858, absmax=15.82 +2025-11-04 13:23:17,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=13.38, mean=-0.1347, std=2.69, absmax=13.38 +2025-11-04 13:23:18,184 ERROR: Encountered non-finite generator loss at iter 21221; skipping update. +2025-11-04 13:23:18,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,186 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:18,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.31, mean=-0.2209, std=2.601, absmax=11.31 +2025-11-04 13:23:18,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=10.1, mean=-0.1823, std=2.462, absmax=10.7 +2025-11-04 13:23:18,545 ERROR: Encountered non-finite generator loss at iter 21222; skipping update. +2025-11-04 13:23:18,546 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,547 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:18,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.44, max=9.438, mean=-0.1407, std=2.15, absmax=10.44 +2025-11-04 13:23:18,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.225, max=8.199, mean=-0.0951, std=2.038, absmax=9.225 +2025-11-04 13:23:18,904 ERROR: Encountered non-finite generator loss at iter 21223; skipping update. +2025-11-04 13:23:18,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:18,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:18,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.13, mean=-0.336, std=3.535, absmax=13.62 +2025-11-04 13:23:18,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=11.71, mean=-0.3283, std=3.182, absmax=12.82 +2025-11-04 13:23:19,263 ERROR: Encountered non-finite generator loss at iter 21224; skipping update. +2025-11-04 13:23:19,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:19,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.99, mean=-0.133, std=3.041, absmax=13.99 +2025-11-04 13:23:19,267 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=11.84, mean=-0.1231, std=2.704, absmax=12.28 +2025-11-04 13:23:19,624 ERROR: Encountered non-finite generator loss at iter 21225; skipping update. +2025-11-04 13:23:19,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:19,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=16.38, mean=-0.1414, std=3.089, absmax=16.38 +2025-11-04 13:23:19,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=12.68, mean=-0.163, std=2.85, absmax=13.94 +2025-11-04 13:23:19,984 ERROR: Encountered non-finite generator loss at iter 21226; skipping update. +2025-11-04 13:23:19,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:19,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:19,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.68, mean=-0.04917, std=2.87, absmax=13 +2025-11-04 13:23:19,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=11.12, mean=-0.06528, std=2.576, absmax=12.35 +2025-11-04 13:23:20,345 ERROR: Encountered non-finite generator loss at iter 21227; skipping update. +2025-11-04 13:23:20,346 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:20,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:20,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:20,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:20,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.03, mean=0.06551, std=3.057, absmax=14.03 +2025-11-04 13:23:20,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=12.33, mean=0.09676, std=2.866, absmax=12.33 +2025-11-04 13:23:20,706 ERROR: Encountered non-finite generator loss at iter 21228; skipping update. +2025-11-04 13:23:20,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:20,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:20,707 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:20,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:20,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.38, max=11.77, mean=-0.2254, std=2.478, absmax=11.77 +2025-11-04 13:23:20,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.358, max=10.54, mean=-0.1821, std=2.292, absmax=10.54 +2025-11-04 13:23:21,066 ERROR: Encountered non-finite generator loss at iter 21229; skipping update. +2025-11-04 13:23:21,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:21,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.15, mean=-0.2427, std=2.793, absmax=13.15 +2025-11-04 13:23:21,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=12.37, mean=-0.1968, std=2.655, absmax=12.37 +2025-11-04 13:23:21,427 ERROR: Encountered non-finite generator loss at iter 21230; skipping update. +2025-11-04 13:23:21,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,430 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:21,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.04, mean=-0.1196, std=3.463, absmax=14.04 +2025-11-04 13:23:21,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=13.81, mean=-0.1287, std=3.239, absmax=13.81 +2025-11-04 13:23:21,788 ERROR: Encountered non-finite generator loss at iter 21231; skipping update. +2025-11-04 13:23:21,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:21,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:21,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.5, mean=0.0337, std=3.167, absmax=12.5 +2025-11-04 13:23:21,792 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=12.52, mean=0.04723, std=2.941, absmax=12.52 +2025-11-04 13:23:22,149 ERROR: Encountered non-finite generator loss at iter 21232; skipping update. +2025-11-04 13:23:22,150 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,151 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,151 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:22,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.25, mean=-0.184, std=2.719, absmax=12.46 +2025-11-04 13:23:22,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=10.56, mean=-0.147, std=2.487, absmax=11.99 +2025-11-04 13:23:22,509 ERROR: Encountered non-finite generator loss at iter 21233; skipping update. +2025-11-04 13:23:22,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,512 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:22,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=16.26, mean=-0.002045, std=3.514, absmax=16.26 +2025-11-04 13:23:22,513 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=13.79, mean=0.008206, std=3.301, absmax=13.79 +2025-11-04 13:23:22,870 ERROR: Encountered non-finite generator loss at iter 21234; skipping update. +2025-11-04 13:23:22,871 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,872 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:22,872 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:22,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.88, mean=-0.2597, std=3.528, absmax=12.92 +2025-11-04 13:23:22,873 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.82, mean=-0.2699, std=3.271, absmax=12.44 +2025-11-04 13:23:23,229 ERROR: Encountered non-finite generator loss at iter 21235; skipping update. +2025-11-04 13:23:23,230 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,231 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:23,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=19.59, mean=0.06469, std=3.41, absmax=19.59 +2025-11-04 13:23:23,233 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=17.33, mean=0.07945, std=3.232, absmax=17.33 +2025-11-04 13:23:23,590 ERROR: Encountered non-finite generator loss at iter 21236; skipping update. +2025-11-04 13:23:23,591 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,592 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,592 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:23,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=13.88, mean=0.08935, std=3.393, absmax=15.12 +2025-11-04 13:23:23,593 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.63, max=12.64, mean=0.09034, std=3.167, absmax=13.63 +2025-11-04 13:23:23,950 ERROR: Encountered non-finite generator loss at iter 21237; skipping update. +2025-11-04 13:23:23,951 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,952 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:23,952 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:23,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=13.8, mean=-0.1224, std=3.028, absmax=13.8 +2025-11-04 13:23:23,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=12.55, mean=-0.1204, std=2.905, absmax=12.55 +2025-11-04 13:23:24,311 ERROR: Encountered non-finite generator loss at iter 21238; skipping update. +2025-11-04 13:23:24,312 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:24,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:24,313 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:24,313 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:24,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=11.57, mean=-0.4167, std=3.002, absmax=14.69 +2025-11-04 13:23:24,314 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=9.863, mean=-0.3728, std=2.813, absmax=11.37 +2025-11-04 13:23:24,671 ERROR: Encountered non-finite generator loss at iter 21239; skipping update. +2025-11-04 13:23:24,672 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:24,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:24,673 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:24,673 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:24,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=13.3, mean=-0.1684, std=3.156, absmax=14.14 +2025-11-04 13:23:24,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.42, mean=-0.1737, std=2.902, absmax=12.42 +2025-11-04 13:23:25,031 ERROR: Encountered non-finite generator loss at iter 21240; skipping update. +2025-11-04 13:23:25,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:25,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.53, mean=-0.1611, std=3.097, absmax=13.63 +2025-11-04 13:23:25,034 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=12.82, mean=-0.141, std=2.94, absmax=12.82 +2025-11-04 13:23:25,390 ERROR: Encountered non-finite generator loss at iter 21241; skipping update. +2025-11-04 13:23:25,391 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,392 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:25,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=15.15, mean=-0.0595, std=3.944, absmax=15.15 +2025-11-04 13:23:25,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=15.05, mean=-0.04178, std=3.714, absmax=15.05 +2025-11-04 13:23:25,750 ERROR: Encountered non-finite generator loss at iter 21242; skipping update. +2025-11-04 13:23:25,751 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:25,752 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:25,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.56, mean=-0.1202, std=3.262, absmax=13.59 +2025-11-04 13:23:25,753 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.96, max=12.49, mean=-0.087, std=3.166, absmax=12.96 +2025-11-04 13:23:26,110 ERROR: Encountered non-finite generator loss at iter 21243; skipping update. +2025-11-04 13:23:26,111 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,112 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,113 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:26,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.99, mean=-0.1235, std=3.071, absmax=11.99 +2025-11-04 13:23:26,114 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=10.4, mean=-0.1141, std=2.787, absmax=10.4 +2025-11-04 13:23:26,471 ERROR: Encountered non-finite generator loss at iter 21244; skipping update. +2025-11-04 13:23:26,472 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,473 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,473 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:26,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.08, mean=-0.1061, std=2.967, absmax=13.08 +2025-11-04 13:23:26,474 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=10.93, mean=-0.09537, std=2.662, absmax=10.93 +2025-11-04 13:23:26,831 ERROR: Encountered non-finite generator loss at iter 21245; skipping update. +2025-11-04 13:23:26,832 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,833 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:26,833 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:26,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.63, mean=-0.03001, std=2.864, absmax=12.63 +2025-11-04 13:23:26,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.62, mean=-0.02125, std=2.739, absmax=11.62 +2025-11-04 13:23:27,191 ERROR: Encountered non-finite generator loss at iter 21246; skipping update. +2025-11-04 13:23:27,192 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,193 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,193 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:27,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=11.84, mean=-0.01748, std=2.983, absmax=11.84 +2025-11-04 13:23:27,194 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.28, mean=-0.01635, std=2.869, absmax=11.37 +2025-11-04 13:23:27,551 ERROR: Encountered non-finite generator loss at iter 21247; skipping update. +2025-11-04 13:23:27,552 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,553 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,553 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:27,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.74, max=12.47, mean=-0.2375, std=3.155, absmax=16.74 +2025-11-04 13:23:27,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=12.61, mean=-0.2558, std=2.897, absmax=13.01 +2025-11-04 13:23:27,910 ERROR: Encountered non-finite generator loss at iter 21248; skipping update. +2025-11-04 13:23:27,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:27,913 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:27,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=11.21, mean=-0.2061, std=3.183, absmax=13.82 +2025-11-04 13:23:27,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.57, max=10.14, mean=-0.2323, std=2.938, absmax=13.57 +2025-11-04 13:23:28,270 ERROR: Encountered non-finite generator loss at iter 21249; skipping update. +2025-11-04 13:23:28,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,272 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:28,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=10.84, mean=-0.2903, std=2.829, absmax=11.76 +2025-11-04 13:23:28,273 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=8.663, mean=-0.271, std=2.509, absmax=10.75 +2025-11-04 13:23:28,630 ERROR: Encountered non-finite generator loss at iter 21250; skipping update. +2025-11-04 13:23:28,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:28,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.94, mean=-0.2061, std=2.941, absmax=11.94 +2025-11-04 13:23:28,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=9.965, mean=-0.2253, std=2.743, absmax=10.85 +2025-11-04 13:23:28,991 ERROR: Encountered non-finite generator loss at iter 21251; skipping update. +2025-11-04 13:23:28,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:28,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:28,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.43, mean=-0.3933, std=2.76, absmax=11.93 +2025-11-04 13:23:28,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.22, max=11.01, mean=-0.3672, std=2.661, absmax=11.01 +2025-11-04 13:23:29,352 ERROR: Encountered non-finite generator loss at iter 21252; skipping update. +2025-11-04 13:23:29,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:29,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:29,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:29,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:29,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=10.56, mean=-0.1969, std=2.965, absmax=13.22 +2025-11-04 13:23:29,355 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.89, mean=-0.1523, std=2.86, absmax=11.87 +2025-11-04 13:23:29,711 ERROR: Encountered non-finite generator loss at iter 21253; skipping update. +2025-11-04 13:23:29,712 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:29,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:29,713 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:29,713 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:29,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=14.03, mean=0.03611, std=3.519, absmax=14.03 +2025-11-04 13:23:29,715 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=13.26, mean=0.0009877, std=3.254, absmax=13.26 +2025-11-04 13:23:30,071 ERROR: Encountered non-finite generator loss at iter 21254; skipping update. +2025-11-04 13:23:30,072 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,073 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,074 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:30,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=15.19, mean=-0.1209, std=3.042, absmax=15.19 +2025-11-04 13:23:30,075 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=12.53, mean=-0.1243, std=2.84, absmax=12.53 +2025-11-04 13:23:30,431 ERROR: Encountered non-finite generator loss at iter 21255; skipping update. +2025-11-04 13:23:30,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:30,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.93, mean=-0.06209, std=3.137, absmax=15.93 +2025-11-04 13:23:30,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=15.39, mean=-0.07356, std=2.888, absmax=15.39 +2025-11-04 13:23:30,791 ERROR: Encountered non-finite generator loss at iter 21256; skipping update. +2025-11-04 13:23:30,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:30,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:30,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=15.49, mean=0.2047, std=3.778, absmax=15.49 +2025-11-04 13:23:30,795 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=13.09, mean=0.2175, std=3.507, absmax=13.09 +2025-11-04 13:23:31,151 ERROR: Encountered non-finite generator loss at iter 21257; skipping update. +2025-11-04 13:23:31,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,153 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:31,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.92, mean=-0.1233, std=2.84, absmax=14.92 +2025-11-04 13:23:31,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=12.26, mean=-0.1006, std=2.666, absmax=12.26 +2025-11-04 13:23:31,512 ERROR: Encountered non-finite generator loss at iter 21258; skipping update. +2025-11-04 13:23:31,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:31,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.8, mean=-0.1399, std=3.144, absmax=11.91 +2025-11-04 13:23:31,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.42, mean=-0.05812, std=2.975, absmax=11.65 +2025-11-04 13:23:31,872 ERROR: Encountered non-finite generator loss at iter 21259; skipping update. +2025-11-04 13:23:31,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:31,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:31,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.86, max=11.14, mean=0.06676, std=2.563, absmax=11.14 +2025-11-04 13:23:31,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.77, max=10.99, mean=0.05902, std=2.524, absmax=10.99 +2025-11-04 13:23:32,233 ERROR: Encountered non-finite generator loss at iter 21260; skipping update. +2025-11-04 13:23:32,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:32,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=15.22, mean=-0.1078, std=3.462, absmax=15.22 +2025-11-04 13:23:32,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=14.16, mean=-0.105, std=3.187, absmax=14.16 +2025-11-04 13:23:32,593 ERROR: Encountered non-finite generator loss at iter 21261; skipping update. +2025-11-04 13:23:32,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:32,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.46, mean=-0.357, std=3.222, absmax=14.46 +2025-11-04 13:23:32,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.61, mean=-0.3208, std=2.968, absmax=12.61 +2025-11-04 13:23:32,954 ERROR: Encountered non-finite generator loss at iter 21262; skipping update. +2025-11-04 13:23:32,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:32,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:32,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.47, mean=-0.06024, std=2.954, absmax=14.47 +2025-11-04 13:23:32,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=13.6, mean=-0.03296, std=2.774, absmax=13.6 +2025-11-04 13:23:33,316 ERROR: Encountered non-finite generator loss at iter 21263; skipping update. +2025-11-04 13:23:33,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:33,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:33,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:33,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:33,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=14.01, mean=0.0104, std=2.986, absmax=14.01 +2025-11-04 13:23:33,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=12.53, mean=0.009937, std=2.773, absmax=12.53 +2025-11-04 13:23:33,676 ERROR: Encountered non-finite generator loss at iter 21264; skipping update. +2025-11-04 13:23:33,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:33,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:33,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:33,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:33,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.44, mean=-0.07982, std=3.145, absmax=13 +2025-11-04 13:23:33,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.3, mean=-0.04841, std=2.904, absmax=11.37 +2025-11-04 13:23:34,037 ERROR: Encountered non-finite generator loss at iter 21265; skipping update. +2025-11-04 13:23:34,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:34,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.92, mean=-0.2876, std=2.998, absmax=13.34 +2025-11-04 13:23:34,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=10.81, mean=-0.2734, std=2.726, absmax=12.02 +2025-11-04 13:23:34,398 ERROR: Encountered non-finite generator loss at iter 21266; skipping update. +2025-11-04 13:23:34,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:34,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.55, mean=-0.2307, std=2.86, absmax=12.55 +2025-11-04 13:23:34,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=10.98, mean=-0.2381, std=2.665, absmax=11.88 +2025-11-04 13:23:34,758 ERROR: Encountered non-finite generator loss at iter 21267; skipping update. +2025-11-04 13:23:34,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:34,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:34,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=15.16, mean=0.07585, std=3.425, absmax=15.16 +2025-11-04 13:23:34,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=15.04, mean=0.084, std=3.366, absmax=15.04 +2025-11-04 13:23:35,119 ERROR: Encountered non-finite generator loss at iter 21268; skipping update. +2025-11-04 13:23:35,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:35,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.34, mean=-0.01753, std=3.395, absmax=13.38 +2025-11-04 13:23:35,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.31, mean=-0.04234, std=3.12, absmax=12.31 +2025-11-04 13:23:35,480 ERROR: Encountered non-finite generator loss at iter 21269; skipping update. +2025-11-04 13:23:35,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:35,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.72, mean=-0.1991, std=2.799, absmax=12.26 +2025-11-04 13:23:35,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=11.64, mean=-0.1818, std=2.47, absmax=11.64 +2025-11-04 13:23:35,841 ERROR: Encountered non-finite generator loss at iter 21270; skipping update. +2025-11-04 13:23:35,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:35,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:35,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.7, mean=-0.03008, std=2.915, absmax=12.77 +2025-11-04 13:23:35,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=11.38, mean=-0.02998, std=2.763, absmax=11.85 +2025-11-04 13:23:36,202 ERROR: Encountered non-finite generator loss at iter 21271; skipping update. +2025-11-04 13:23:36,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,205 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:36,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=13.47, mean=-0.2657, std=2.791, absmax=13.47 +2025-11-04 13:23:36,206 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=12.39, mean=-0.2617, std=2.678, absmax=12.39 +2025-11-04 13:23:36,563 ERROR: Encountered non-finite generator loss at iter 21272; skipping update. +2025-11-04 13:23:36,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:36,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=15.11, mean=0.2304, std=3.423, absmax=15.11 +2025-11-04 13:23:36,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=14.16, mean=0.2211, std=3.212, absmax=14.16 +2025-11-04 13:23:36,924 ERROR: Encountered non-finite generator loss at iter 21273; skipping update. +2025-11-04 13:23:36,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:36,926 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:36,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.77, mean=-0.1742, std=3.425, absmax=14.77 +2025-11-04 13:23:36,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=12.1, mean=-0.1558, std=3.083, absmax=12.1 +2025-11-04 13:23:37,284 ERROR: Encountered non-finite generator loss at iter 21274; skipping update. +2025-11-04 13:23:37,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:37,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:37,285 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:37,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:37,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.37, mean=-0.2907, std=2.516, absmax=13.37 +2025-11-04 13:23:37,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.54, mean=-0.234, std=2.338, absmax=10.9 +2025-11-04 13:23:37,644 ERROR: Encountered non-finite generator loss at iter 21275; skipping update. +2025-11-04 13:23:37,645 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:37,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:37,646 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:37,646 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:37,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.43, mean=-0.2646, std=3.198, absmax=13.49 +2025-11-04 13:23:37,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=10.76, mean=-0.213, std=2.936, absmax=11.71 +2025-11-04 13:23:38,004 ERROR: Encountered non-finite generator loss at iter 21276; skipping update. +2025-11-04 13:23:38,005 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,006 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:38,007 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.83, mean=0.2004, std=3.184, absmax=14.83 +2025-11-04 13:23:38,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=13.7, mean=0.19, std=2.955, absmax=13.7 +2025-11-04 13:23:38,365 ERROR: Encountered non-finite generator loss at iter 21277; skipping update. +2025-11-04 13:23:38,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:38,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.5, max=11.72, mean=-0.03047, std=2.989, absmax=16.5 +2025-11-04 13:23:38,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=11.74, mean=-0.0188, std=2.902, absmax=13.06 +2025-11-04 13:23:38,725 ERROR: Encountered non-finite generator loss at iter 21278; skipping update. +2025-11-04 13:23:38,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:38,728 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:38,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.73, mean=0.04273, std=3.034, absmax=14.73 +2025-11-04 13:23:38,729 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=13.51, mean=0.02629, std=2.863, absmax=13.51 +2025-11-04 13:23:39,085 ERROR: Encountered non-finite generator loss at iter 21279; skipping update. +2025-11-04 13:23:39,086 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,087 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:39,088 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=11.1, mean=-0.06582, std=2.997, absmax=11.59 +2025-11-04 13:23:39,089 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=10.7, mean=-0.1092, std=2.895, absmax=12.14 +2025-11-04 13:23:39,446 ERROR: Encountered non-finite generator loss at iter 21280; skipping update. +2025-11-04 13:23:39,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:39,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.32, mean=-0.219, std=2.969, absmax=12.32 +2025-11-04 13:23:39,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=11.05, mean=-0.2195, std=2.758, absmax=11.05 +2025-11-04 13:23:39,808 ERROR: Encountered non-finite generator loss at iter 21281; skipping update. +2025-11-04 13:23:39,810 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:39,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:39,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.94, mean=-0.257, std=3.065, absmax=13.94 +2025-11-04 13:23:39,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.01, mean=-0.2385, std=2.784, absmax=12.15 +2025-11-04 13:23:40,170 ERROR: Encountered non-finite generator loss at iter 21282; skipping update. +2025-11-04 13:23:40,171 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,172 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,172 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:40,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=16.06, mean=-0.2533, std=3.307, absmax=16.06 +2025-11-04 13:23:40,173 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=14.95, mean=-0.1787, std=3.073, absmax=14.95 +2025-11-04 13:23:40,530 ERROR: Encountered non-finite generator loss at iter 21283; skipping update. +2025-11-04 13:23:40,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,532 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:40,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=12.51, mean=-0.05965, std=2.404, absmax=12.51 +2025-11-04 13:23:40,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.583, max=11.36, mean=-0.02317, std=2.253, absmax=11.36 +2025-11-04 13:23:40,891 ERROR: Encountered non-finite generator loss at iter 21284; skipping update. +2025-11-04 13:23:40,892 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,893 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:40,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:40,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.24, mean=-0.1167, std=2.873, absmax=13.12 +2025-11-04 13:23:40,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=11.31, mean=-0.08456, std=2.661, absmax=11.31 +2025-11-04 13:23:41,252 ERROR: Encountered non-finite generator loss at iter 21285; skipping update. +2025-11-04 13:23:41,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:41,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.66, mean=-0.2255, std=2.892, absmax=12.26 +2025-11-04 13:23:41,256 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.14, mean=-0.2517, std=2.681, absmax=10.74 +2025-11-04 13:23:41,613 ERROR: Encountered non-finite generator loss at iter 21286; skipping update. +2025-11-04 13:23:41,614 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,615 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:41,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=14.96, mean=-0.06716, std=2.874, absmax=14.96 +2025-11-04 13:23:41,617 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=12.76, mean=-0.06419, std=2.604, absmax=12.76 +2025-11-04 13:23:41,974 ERROR: Encountered non-finite generator loss at iter 21287; skipping update. +2025-11-04 13:23:41,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:41,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:41,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=15.24, mean=0.1497, std=3.551, absmax=15.24 +2025-11-04 13:23:41,978 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=13.26, mean=0.1434, std=3.223, absmax=13.5 +2025-11-04 13:23:42,335 ERROR: Encountered non-finite generator loss at iter 21288; skipping update. +2025-11-04 13:23:42,336 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:42,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:42,337 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:42,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:42,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.37, mean=-0.2555, std=2.622, absmax=13.37 +2025-11-04 13:23:42,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.8, mean=-0.2195, std=2.386, absmax=10.83 +2025-11-04 13:23:42,697 ERROR: Encountered non-finite generator loss at iter 21289; skipping update. +2025-11-04 13:23:42,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:42,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:42,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:42,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:42,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.89, mean=-0.1831, std=2.927, absmax=13.51 +2025-11-04 13:23:42,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=11.38, mean=-0.1971, std=2.747, absmax=12.83 +2025-11-04 13:23:43,057 ERROR: Encountered non-finite generator loss at iter 21290; skipping update. +2025-11-04 13:23:43,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:43,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.19, mean=-0.03044, std=3.109, absmax=14.19 +2025-11-04 13:23:43,062 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.31, max=13, mean=-0.02091, std=2.923, absmax=13 +2025-11-04 13:23:43,419 ERROR: Encountered non-finite generator loss at iter 21291; skipping update. +2025-11-04 13:23:43,420 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,421 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,421 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:43,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=13.75, mean=-0.09874, std=2.81, absmax=14.91 +2025-11-04 13:23:43,422 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=9.866, mean=-0.07645, std=2.522, absmax=13 +2025-11-04 13:23:43,780 ERROR: Encountered non-finite generator loss at iter 21292; skipping update. +2025-11-04 13:23:43,781 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,782 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:43,782 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:43,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=14.21, mean=0.2524, std=3.642, absmax=14.21 +2025-11-04 13:23:43,783 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=13.21, mean=0.2158, std=3.41, absmax=13.21 +2025-11-04 13:23:44,141 ERROR: Encountered non-finite generator loss at iter 21293; skipping update. +2025-11-04 13:23:44,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,144 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:44,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=11.12, mean=-0.2566, std=2.417, absmax=11.12 +2025-11-04 13:23:44,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=10.69, mean=-0.2873, std=2.333, absmax=10.69 +2025-11-04 13:23:44,503 ERROR: Encountered non-finite generator loss at iter 21294; skipping update. +2025-11-04 13:23:44,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:44,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.11, mean=-0.1374, std=3.375, absmax=15.11 +2025-11-04 13:23:44,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.82, max=13.05, mean=-0.1109, std=3.142, absmax=13.82 +2025-11-04 13:23:44,864 ERROR: Encountered non-finite generator loss at iter 21295; skipping update. +2025-11-04 13:23:44,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:44,866 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:44,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=11.67, mean=-0.2092, std=2.717, absmax=11.67 +2025-11-04 13:23:44,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=10.16, mean=-0.2214, std=2.441, absmax=10.28 +2025-11-04 13:23:45,224 ERROR: Encountered non-finite generator loss at iter 21296; skipping update. +2025-11-04 13:23:45,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:45,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=16.43, mean=0.01207, std=2.845, absmax=16.43 +2025-11-04 13:23:45,228 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=15.34, mean=0.01887, std=2.619, absmax=15.34 +2025-11-04 13:23:45,584 ERROR: Encountered non-finite generator loss at iter 21297; skipping update. +2025-11-04 13:23:45,584 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,585 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,585 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:45,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.91, mean=0.1295, std=3.443, absmax=12.91 +2025-11-04 13:23:45,587 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.35, mean=0.1295, std=3.189, absmax=12.35 +2025-11-04 13:23:45,942 ERROR: Encountered non-finite generator loss at iter 21298; skipping update. +2025-11-04 13:23:45,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:45,947 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:45,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.77, mean=-0.09106, std=2.947, absmax=12.83 +2025-11-04 13:23:45,948 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=12.12, mean=-0.04934, std=2.721, absmax=13.07 +2025-11-04 13:23:46,305 ERROR: Encountered non-finite generator loss at iter 21299; skipping update. +2025-11-04 13:23:46,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:46,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:46,307 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:46,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:46,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=15.49, mean=-0.2213, std=2.601, absmax=15.49 +2025-11-04 13:23:46,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.6, mean=-0.2099, std=2.424, absmax=11.6 +2025-11-04 13:23:46,665 ERROR: Encountered non-finite generator loss at iter 21300; skipping update. +2025-11-04 13:23:46,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:46,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:46,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:46,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:46,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=13.95, mean=-0.04031, std=2.962, absmax=13.95 +2025-11-04 13:23:46,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=13, mean=-0.0607, std=2.737, absmax=13 +2025-11-04 13:23:46,669 INFO: [38..][epoch: 0, step: 21,300, lr:(2.000e-04,)] [eta: 1 day, 7:12:04, time (data): 0.360 (0.000)] +2025-11-04 13:23:47,026 ERROR: Encountered non-finite generator loss at iter 21301; skipping update. +2025-11-04 13:23:47,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:47,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=14.88, mean=-0.02882, std=3.191, absmax=14.88 +2025-11-04 13:23:47,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=11.73, mean=-0.04739, std=2.967, absmax=11.73 +2025-11-04 13:23:47,386 ERROR: Encountered non-finite generator loss at iter 21302; skipping update. +2025-11-04 13:23:47,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:47,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=11.64, mean=-0.1697, std=2.891, absmax=14.22 +2025-11-04 13:23:47,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=10.57, mean=-0.1823, std=2.656, absmax=12.63 +2025-11-04 13:23:47,745 ERROR: Encountered non-finite generator loss at iter 21303; skipping update. +2025-11-04 13:23:47,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:47,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:47,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=13.85, mean=-0.1824, std=2.615, absmax=13.85 +2025-11-04 13:23:47,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.9, mean=-0.1743, std=2.397, absmax=11.9 +2025-11-04 13:23:48,106 ERROR: Encountered non-finite generator loss at iter 21304; skipping update. +2025-11-04 13:23:48,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:48,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.53, mean=-0.01723, std=3.091, absmax=12.72 +2025-11-04 13:23:48,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=10.64, mean=-0.04895, std=2.874, absmax=11.67 +2025-11-04 13:23:48,467 ERROR: Encountered non-finite generator loss at iter 21305; skipping update. +2025-11-04 13:23:48,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:48,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=11.87, mean=-0.1931, std=3.193, absmax=13.83 +2025-11-04 13:23:48,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.25, max=10.63, mean=-0.1722, std=3.068, absmax=14.25 +2025-11-04 13:23:48,828 ERROR: Encountered non-finite generator loss at iter 21306; skipping update. +2025-11-04 13:23:48,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:48,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:48,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=15.41, mean=-0.1486, std=3.158, absmax=15.41 +2025-11-04 13:23:48,831 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=13.1, mean=-0.1915, std=2.928, absmax=13.1 +2025-11-04 13:23:49,188 ERROR: Encountered non-finite generator loss at iter 21307; skipping update. +2025-11-04 13:23:49,189 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,190 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,190 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:49,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.55, mean=-0.2758, std=2.641, absmax=12.22 +2025-11-04 13:23:49,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=9.049, mean=-0.2641, std=2.368, absmax=10.82 +2025-11-04 13:23:49,549 ERROR: Encountered non-finite generator loss at iter 21308; skipping update. +2025-11-04 13:23:49,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:49,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=14.07, mean=-0.1414, std=3.126, absmax=14.07 +2025-11-04 13:23:49,553 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=10.29, mean=-0.1221, std=2.841, absmax=12.08 +2025-11-04 13:23:49,910 ERROR: Encountered non-finite generator loss at iter 21309; skipping update. +2025-11-04 13:23:49,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:49,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:49,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=16.04, mean=-0.2976, std=3.188, absmax=16.04 +2025-11-04 13:23:49,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=11.68, mean=-0.2555, std=3.094, absmax=13.22 +2025-11-04 13:23:50,271 ERROR: Encountered non-finite generator loss at iter 21310; skipping update. +2025-11-04 13:23:50,272 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:50,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=11.76, mean=-0.3216, std=2.446, absmax=11.76 +2025-11-04 13:23:50,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.775, max=9.447, mean=-0.3317, std=2.335, absmax=9.775 +2025-11-04 13:23:50,631 ERROR: Encountered non-finite generator loss at iter 21311; skipping update. +2025-11-04 13:23:50,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:50,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.38, max=15.74, mean=-0.1271, std=2.7, absmax=17.38 +2025-11-04 13:23:50,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14, max=11.63, mean=-0.1102, std=2.461, absmax=14 +2025-11-04 13:23:50,993 ERROR: Encountered non-finite generator loss at iter 21312; skipping update. +2025-11-04 13:23:50,994 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,995 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:50,995 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:50,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.65, max=11.59, mean=-0.1166, std=2.519, absmax=11.59 +2025-11-04 13:23:50,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.875, max=10.84, mean=-0.1113, std=2.287, absmax=10.84 +2025-11-04 13:23:51,354 ERROR: Encountered non-finite generator loss at iter 21313; skipping update. +2025-11-04 13:23:51,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:51,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:51,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:51,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:51,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.13, mean=-0.1776, std=2.725, absmax=13.56 +2025-11-04 13:23:51,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=12.34, mean=-0.1585, std=2.585, absmax=12.67 +2025-11-04 13:23:51,714 ERROR: Encountered non-finite generator loss at iter 21314; skipping update. +2025-11-04 13:23:51,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:51,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:51,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:51,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:51,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=12.91, mean=-0.3241, std=3.919, absmax=14.43 +2025-11-04 13:23:51,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.3, max=11.84, mean=-0.3033, std=3.652, absmax=14.3 +2025-11-04 13:23:52,076 ERROR: Encountered non-finite generator loss at iter 21315; skipping update. +2025-11-04 13:23:52,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:52,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.44, mean=-0.1338, std=3.048, absmax=13.44 +2025-11-04 13:23:52,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.76, mean=-0.1093, std=2.931, absmax=11.76 +2025-11-04 13:23:52,437 ERROR: Encountered non-finite generator loss at iter 21316; skipping update. +2025-11-04 13:23:52,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:52,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.96, mean=-0.1348, std=2.817, absmax=12.33 +2025-11-04 13:23:52,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.63, mean=-0.122, std=2.712, absmax=11.63 +2025-11-04 13:23:52,798 ERROR: Encountered non-finite generator loss at iter 21317; skipping update. +2025-11-04 13:23:52,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:52,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:52,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=15.08, mean=-0.1532, std=3.167, absmax=15.08 +2025-11-04 13:23:52,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=12.66, mean=-0.1526, std=2.974, absmax=12.66 +2025-11-04 13:23:53,158 ERROR: Encountered non-finite generator loss at iter 21318; skipping update. +2025-11-04 13:23:53,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:53,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=11.03, mean=-0.1532, std=3.388, absmax=13.56 +2025-11-04 13:23:53,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=9.783, mean=-0.1389, std=3.159, absmax=12.56 +2025-11-04 13:23:53,519 ERROR: Encountered non-finite generator loss at iter 21319; skipping update. +2025-11-04 13:23:53,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:53,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.96, mean=-0.1009, std=2.639, absmax=12.96 +2025-11-04 13:23:53,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.03, mean=-0.1208, std=2.47, absmax=11.03 +2025-11-04 13:23:53,880 ERROR: Encountered non-finite generator loss at iter 21320; skipping update. +2025-11-04 13:23:53,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:53,883 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:53,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.42, mean=-0.2136, std=3.321, absmax=12.62 +2025-11-04 13:23:53,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.62, mean=-0.2047, std=3.024, absmax=11.62 +2025-11-04 13:23:54,242 ERROR: Encountered non-finite generator loss at iter 21321; skipping update. +2025-11-04 13:23:54,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:54,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=14.23, mean=-0.1425, std=3.407, absmax=14.97 +2025-11-04 13:23:54,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=13.26, mean=-0.1405, std=3.113, absmax=13.26 +2025-11-04 13:23:54,602 ERROR: Encountered non-finite generator loss at iter 21322; skipping update. +2025-11-04 13:23:54,603 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:54,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=14.35, mean=-0.1024, std=2.736, absmax=14.35 +2025-11-04 13:23:54,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.1, max=12.82, mean=-0.1448, std=2.564, absmax=12.82 +2025-11-04 13:23:54,963 ERROR: Encountered non-finite generator loss at iter 21323; skipping update. +2025-11-04 13:23:54,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:54,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:54,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=12.87, mean=-0.1165, std=2.548, absmax=12.87 +2025-11-04 13:23:54,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=12.57, mean=-0.1319, std=2.493, absmax=12.57 +2025-11-04 13:23:55,324 ERROR: Encountered non-finite generator loss at iter 21324; skipping update. +2025-11-04 13:23:55,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:55,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:55,326 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:55,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:55,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=13.79, mean=0.1276, std=3.399, absmax=14.03 +2025-11-04 13:23:55,327 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=12.68, mean=0.142, std=3.118, absmax=12.68 +2025-11-04 13:23:55,684 ERROR: Encountered non-finite generator loss at iter 21325; skipping update. +2025-11-04 13:23:55,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:55,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:55,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:55,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:55,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=12.91, mean=-0.1326, std=3.323, absmax=13.9 +2025-11-04 13:23:55,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=11.95, mean=-0.1321, std=3.099, absmax=13.19 +2025-11-04 13:23:56,045 ERROR: Encountered non-finite generator loss at iter 21326; skipping update. +2025-11-04 13:23:56,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:56,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=10.95, mean=-0.08148, std=2.971, absmax=13.94 +2025-11-04 13:23:56,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=10.75, mean=-0.04185, std=2.742, absmax=12.13 +2025-11-04 13:23:56,406 ERROR: Encountered non-finite generator loss at iter 21327; skipping update. +2025-11-04 13:23:56,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,408 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:56,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=13.25, mean=-0.2615, std=2.691, absmax=13.25 +2025-11-04 13:23:56,410 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=11.37, mean=-0.2951, std=2.518, absmax=11.44 +2025-11-04 13:23:56,767 ERROR: Encountered non-finite generator loss at iter 21328; skipping update. +2025-11-04 13:23:56,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,769 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:56,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:56,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=14.04, mean=-0.03121, std=3.706, absmax=14.04 +2025-11-04 13:23:56,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=13.13, mean=-0.0314, std=3.379, absmax=13.13 +2025-11-04 13:23:57,128 ERROR: Encountered non-finite generator loss at iter 21329; skipping update. +2025-11-04 13:23:57,129 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,130 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:57,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=15.15, mean=-0.2329, std=3.071, absmax=15.15 +2025-11-04 13:23:57,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=14.61, mean=-0.1871, std=2.939, absmax=14.61 +2025-11-04 13:23:57,488 ERROR: Encountered non-finite generator loss at iter 21330; skipping update. +2025-11-04 13:23:57,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,490 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:57,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=11.69, mean=-0.3003, std=3.092, absmax=13.45 +2025-11-04 13:23:57,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=9.998, mean=-0.2518, std=2.935, absmax=12.92 +2025-11-04 13:23:57,849 ERROR: Encountered non-finite generator loss at iter 21331; skipping update. +2025-11-04 13:23:57,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:57,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:57,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.54, mean=0.1002, std=3.327, absmax=13.59 +2025-11-04 13:23:57,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.61, mean=0.0652, std=3.019, absmax=11.61 +2025-11-04 13:23:58,209 ERROR: Encountered non-finite generator loss at iter 21332; skipping update. +2025-11-04 13:23:58,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:58,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.53, max=15.85, mean=-0.172, std=3.355, absmax=15.85 +2025-11-04 13:23:58,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=13.93, mean=-0.1654, std=3.067, absmax=13.93 +2025-11-04 13:23:58,570 ERROR: Encountered non-finite generator loss at iter 21333; skipping update. +2025-11-04 13:23:58,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,571 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:58,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12.05, mean=-0.213, std=2.529, absmax=12.05 +2025-11-04 13:23:58,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.863, max=11.53, mean=-0.2159, std=2.439, absmax=11.53 +2025-11-04 13:23:58,929 ERROR: Encountered non-finite generator loss at iter 21334; skipping update. +2025-11-04 13:23:58,930 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,931 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:58,931 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:58,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.61, mean=-0.2727, std=3.077, absmax=13.22 +2025-11-04 13:23:58,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=10.54, mean=-0.2779, std=2.81, absmax=11.67 +2025-11-04 13:23:59,289 ERROR: Encountered non-finite generator loss at iter 21335; skipping update. +2025-11-04 13:23:59,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:59,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:59,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:59,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:59,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.34, mean=-0.2326, std=3.195, absmax=13.34 +2025-11-04 13:23:59,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=10.97, mean=-0.1979, std=2.932, absmax=13.16 +2025-11-04 13:23:59,650 ERROR: Encountered non-finite generator loss at iter 21336; skipping update. +2025-11-04 13:23:59,651 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:59,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:23:59,652 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:23:59,652 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:23:59,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.52, mean=-0.1617, std=2.947, absmax=13.52 +2025-11-04 13:23:59,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=11.25, mean=-0.206, std=2.741, absmax=11.88 +2025-11-04 13:24:00,010 ERROR: Encountered non-finite generator loss at iter 21337; skipping update. +2025-11-04 13:24:00,011 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,012 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,013 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:00,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=12.18, mean=-0.1566, std=2.838, absmax=13.71 +2025-11-04 13:24:00,014 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=9.626, mean=-0.1662, std=2.617, absmax=11.53 +2025-11-04 13:24:00,370 ERROR: Encountered non-finite generator loss at iter 21338; skipping update. +2025-11-04 13:24:00,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:00,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=15.44, mean=-0.1604, std=2.859, absmax=15.44 +2025-11-04 13:24:00,374 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=10.48, mean=-0.1489, std=2.661, absmax=13.18 +2025-11-04 13:24:00,731 ERROR: Encountered non-finite generator loss at iter 21339; skipping update. +2025-11-04 13:24:00,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:00,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:00,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.53, mean=-0.219, std=3.35, absmax=14.53 +2025-11-04 13:24:00,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=13.02, mean=-0.2181, std=3.015, absmax=13.02 +2025-11-04 13:24:01,091 ERROR: Encountered non-finite generator loss at iter 21340; skipping update. +2025-11-04 13:24:01,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:01,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=13.66, mean=-0.2586, std=3.016, absmax=14.3 +2025-11-04 13:24:01,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.69, mean=-0.2265, std=2.841, absmax=11.69 +2025-11-04 13:24:01,451 ERROR: Encountered non-finite generator loss at iter 21341; skipping update. +2025-11-04 13:24:01,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:01,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=9.765, mean=-0.2459, std=2.56, absmax=12.8 +2025-11-04 13:24:01,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=9.9, mean=-0.2322, std=2.409, absmax=12.38 +2025-11-04 13:24:01,811 ERROR: Encountered non-finite generator loss at iter 21342; skipping update. +2025-11-04 13:24:01,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:01,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:01,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=11.13, mean=-0.2192, std=2.461, absmax=11.13 +2025-11-04 13:24:01,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.875, max=9.158, mean=-0.2189, std=2.477, absmax=9.875 +2025-11-04 13:24:02,171 ERROR: Encountered non-finite generator loss at iter 21343; skipping update. +2025-11-04 13:24:02,172 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,173 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,173 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:02,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.91, mean=-0.02065, std=2.87, absmax=13.91 +2025-11-04 13:24:02,174 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=10.32, mean=-0.01868, std=2.721, absmax=10.97 +2025-11-04 13:24:02,531 ERROR: Encountered non-finite generator loss at iter 21344; skipping update. +2025-11-04 13:24:02,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,534 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:02,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=14.34, mean=-0.1184, std=2.979, absmax=14.34 +2025-11-04 13:24:02,535 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=12.43, mean=-0.1217, std=2.844, absmax=12.43 +2025-11-04 13:24:02,892 ERROR: Encountered non-finite generator loss at iter 21345; skipping update. +2025-11-04 13:24:02,893 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:02,895 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:02,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=11.86, mean=-0.2116, std=2.97, absmax=12.16 +2025-11-04 13:24:02,896 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=9.912, mean=-0.2274, std=2.751, absmax=10.96 +2025-11-04 13:24:03,252 ERROR: Encountered non-finite generator loss at iter 21346; skipping update. +2025-11-04 13:24:03,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,255 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:03,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.34, mean=-0.2486, std=3.107, absmax=13.44 +2025-11-04 13:24:03,256 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=11.79, mean=-0.1818, std=3.014, absmax=12.01 +2025-11-04 13:24:03,613 ERROR: Encountered non-finite generator loss at iter 21347; skipping update. +2025-11-04 13:24:03,614 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,615 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,615 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:03,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=13.31, mean=-0.33, std=3.355, absmax=13.31 +2025-11-04 13:24:03,616 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=11.53, mean=-0.3135, std=3.187, absmax=12.77 +2025-11-04 13:24:03,973 ERROR: Encountered non-finite generator loss at iter 21348; skipping update. +2025-11-04 13:24:03,974 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:03,975 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:03,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=9.845, mean=-0.2745, std=2.686, absmax=13.04 +2025-11-04 13:24:03,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=8.804, mean=-0.2505, std=2.563, absmax=11.33 +2025-11-04 13:24:04,333 ERROR: Encountered non-finite generator loss at iter 21349; skipping update. +2025-11-04 13:24:04,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:04,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:04,335 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:04,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:04,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=10.69, mean=-0.2492, std=3.065, absmax=14.32 +2025-11-04 13:24:04,337 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=10.41, mean=-0.2319, std=2.856, absmax=13.01 +2025-11-04 13:24:04,694 ERROR: Encountered non-finite generator loss at iter 21350; skipping update. +2025-11-04 13:24:04,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:04,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:04,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:04,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:04,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.8, mean=-0.1785, std=2.555, absmax=12.41 +2025-11-04 13:24:04,697 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=9.107, mean=-0.1236, std=2.565, absmax=11.56 +2025-11-04 13:24:05,054 ERROR: Encountered non-finite generator loss at iter 21351; skipping update. +2025-11-04 13:24:05,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:05,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=14.44, mean=-0.108, std=2.914, absmax=14.44 +2025-11-04 13:24:05,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=11.68, mean=-0.1531, std=2.752, absmax=11.68 +2025-11-04 13:24:05,414 ERROR: Encountered non-finite generator loss at iter 21352; skipping update. +2025-11-04 13:24:05,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,417 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:05,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.31, mean=-0.02922, std=3.29, absmax=13.31 +2025-11-04 13:24:05,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=12.44, mean=-0.03669, std=3.131, absmax=12.44 +2025-11-04 13:24:05,775 ERROR: Encountered non-finite generator loss at iter 21353; skipping update. +2025-11-04 13:24:05,776 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:05,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:05,777 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.42, mean=-0.1071, std=3.138, absmax=13.42 +2025-11-04 13:24:05,778 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.28, mean=-0.1097, std=2.92, absmax=12.28 +2025-11-04 13:24:06,134 ERROR: Encountered non-finite generator loss at iter 21354; skipping update. +2025-11-04 13:24:06,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,136 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:06,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=10.16, mean=-0.327, std=2.856, absmax=12.68 +2025-11-04 13:24:06,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=8.915, mean=-0.2947, std=2.597, absmax=10.21 +2025-11-04 13:24:06,494 ERROR: Encountered non-finite generator loss at iter 21355; skipping update. +2025-11-04 13:24:06,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:06,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.25, mean=-0.3264, std=2.87, absmax=14.09 +2025-11-04 13:24:06,498 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=9.739, mean=-0.3541, std=2.634, absmax=12.25 +2025-11-04 13:24:06,854 ERROR: Encountered non-finite generator loss at iter 21356; skipping update. +2025-11-04 13:24:06,856 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,857 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:06,857 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:06,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.05, mean=-0.1832, std=3.657, absmax=14.05 +2025-11-04 13:24:06,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.99, max=13.64, mean=-0.1703, std=3.426, absmax=13.99 +2025-11-04 13:24:07,215 ERROR: Encountered non-finite generator loss at iter 21357; skipping update. +2025-11-04 13:24:07,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,217 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:07,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12, mean=-0.1785, std=2.953, absmax=12.41 +2025-11-04 13:24:07,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.25, mean=-0.1588, std=2.801, absmax=11.25 +2025-11-04 13:24:07,576 ERROR: Encountered non-finite generator loss at iter 21358; skipping update. +2025-11-04 13:24:07,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,576 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,577 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:07,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.14, mean=-0.2258, std=2.982, absmax=13.14 +2025-11-04 13:24:07,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.13, mean=-0.189, std=2.808, absmax=12.13 +2025-11-04 13:24:07,935 ERROR: Encountered non-finite generator loss at iter 21359; skipping update. +2025-11-04 13:24:07,936 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:07,937 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:07,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.84, mean=-0.05726, std=3.142, absmax=13.84 +2025-11-04 13:24:07,938 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=14.57, mean=-0.02924, std=3.068, absmax=14.57 +2025-11-04 13:24:08,295 ERROR: Encountered non-finite generator loss at iter 21360; skipping update. +2025-11-04 13:24:08,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:08,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:08,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:08,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:08,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.08, mean=-0.2837, std=2.974, absmax=13.1 +2025-11-04 13:24:08,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=12.34, mean=-0.292, std=2.863, absmax=12.34 +2025-11-04 13:24:08,656 ERROR: Encountered non-finite generator loss at iter 21361; skipping update. +2025-11-04 13:24:08,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:08,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:08,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:08,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:08,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.25, mean=-0.3675, std=2.613, absmax=12.11 +2025-11-04 13:24:08,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.973, max=9.628, mean=-0.3486, std=2.444, absmax=9.973 +2025-11-04 13:24:09,017 ERROR: Encountered non-finite generator loss at iter 21362; skipping update. +2025-11-04 13:24:09,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:09,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.97, mean=-0.1774, std=2.575, absmax=11.97 +2025-11-04 13:24:09,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.04, mean=-0.1466, std=2.443, absmax=10.68 +2025-11-04 13:24:09,378 ERROR: Encountered non-finite generator loss at iter 21363; skipping update. +2025-11-04 13:24:09,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:09,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.39, mean=-0.1166, std=3.093, absmax=13.77 +2025-11-04 13:24:09,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.96, mean=-0.09863, std=2.862, absmax=11.89 +2025-11-04 13:24:09,739 ERROR: Encountered non-finite generator loss at iter 21364; skipping update. +2025-11-04 13:24:09,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:09,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:09,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=12.78, mean=-0.2943, std=3.683, absmax=14.66 +2025-11-04 13:24:09,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=11.95, mean=-0.2728, std=3.387, absmax=13.85 +2025-11-04 13:24:10,100 ERROR: Encountered non-finite generator loss at iter 21365; skipping update. +2025-11-04 13:24:10,101 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,102 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,102 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:10,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=10.21, mean=-0.3012, std=2.793, absmax=12.5 +2025-11-04 13:24:10,103 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=8.82, mean=-0.2862, std=2.601, absmax=11.42 +2025-11-04 13:24:10,461 ERROR: Encountered non-finite generator loss at iter 21366; skipping update. +2025-11-04 13:24:10,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,463 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:10,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.74, mean=-0.03108, std=2.949, absmax=12.74 +2025-11-04 13:24:10,464 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=11.51, mean=-0.02105, std=2.748, absmax=11.67 +2025-11-04 13:24:10,822 ERROR: Encountered non-finite generator loss at iter 21367; skipping update. +2025-11-04 13:24:10,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:10,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:10,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=11.73, mean=-0.1676, std=2.841, absmax=13.43 +2025-11-04 13:24:10,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.23, mean=-0.1546, std=2.776, absmax=12.34 +2025-11-04 13:24:11,182 ERROR: Encountered non-finite generator loss at iter 21368; skipping update. +2025-11-04 13:24:11,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:11,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=12.91, mean=-0.3744, std=3.098, absmax=13.59 +2025-11-04 13:24:11,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=11.91, mean=-0.3341, std=2.893, absmax=12.42 +2025-11-04 13:24:11,544 ERROR: Encountered non-finite generator loss at iter 21369; skipping update. +2025-11-04 13:24:11,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:11,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.49, mean=-0.2549, std=2.736, absmax=13.49 +2025-11-04 13:24:11,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=11.15, mean=-0.2138, std=2.559, absmax=11.19 +2025-11-04 13:24:11,905 ERROR: Encountered non-finite generator loss at iter 21370; skipping update. +2025-11-04 13:24:11,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:11,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:11,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=9.676, mean=-0.2648, std=2.442, absmax=11.1 +2025-11-04 13:24:11,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=8.323, mean=-0.2498, std=2.347, absmax=10.74 +2025-11-04 13:24:12,264 ERROR: Encountered non-finite generator loss at iter 21371; skipping update. +2025-11-04 13:24:12,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:12,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.63, mean=0.002804, std=3.007, absmax=13.63 +2025-11-04 13:24:12,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=11.33, mean=-0.02464, std=2.774, absmax=11.33 +2025-11-04 13:24:12,625 ERROR: Encountered non-finite generator loss at iter 21372; skipping update. +2025-11-04 13:24:12,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:12,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=13.74, mean=-0.1726, std=3.286, absmax=15.11 +2025-11-04 13:24:12,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=11.33, mean=-0.1393, std=2.999, absmax=12.85 +2025-11-04 13:24:12,985 ERROR: Encountered non-finite generator loss at iter 21373; skipping update. +2025-11-04 13:24:12,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:12,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:12,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.13, mean=-0.3052, std=3.309, absmax=14.28 +2025-11-04 13:24:12,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=11.18, mean=-0.3235, std=3.015, absmax=13.3 +2025-11-04 13:24:13,345 ERROR: Encountered non-finite generator loss at iter 21374; skipping update. +2025-11-04 13:24:13,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:13,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:13,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:13,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:13,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=14.8, mean=-0.1773, std=3.755, absmax=14.8 +2025-11-04 13:24:13,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=12.34, mean=-0.2013, std=3.428, absmax=13.3 +2025-11-04 13:24:13,705 ERROR: Encountered non-finite generator loss at iter 21375; skipping update. +2025-11-04 13:24:13,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:13,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:13,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:13,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:13,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.41, mean=-0.2466, std=2.898, absmax=13.23 +2025-11-04 13:24:13,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.65, mean=-0.2353, std=2.718, absmax=12.42 +2025-11-04 13:24:14,066 ERROR: Encountered non-finite generator loss at iter 21376; skipping update. +2025-11-04 13:24:14,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:14,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=16.56, mean=-0.1054, std=3.203, absmax=16.56 +2025-11-04 13:24:14,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=15.37, mean=-0.1111, std=2.905, absmax=15.37 +2025-11-04 13:24:14,426 ERROR: Encountered non-finite generator loss at iter 21377; skipping update. +2025-11-04 13:24:14,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:14,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.54, mean=-0.135, std=2.985, absmax=12.82 +2025-11-04 13:24:14,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.13, mean=-0.1175, std=2.786, absmax=12.13 +2025-11-04 13:24:14,787 ERROR: Encountered non-finite generator loss at iter 21378; skipping update. +2025-11-04 13:24:14,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:14,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:14,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13.32, mean=-0.1783, std=3.232, absmax=13.49 +2025-11-04 13:24:14,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=11.36, mean=-0.1864, std=2.964, absmax=11.93 +2025-11-04 13:24:15,147 ERROR: Encountered non-finite generator loss at iter 21379; skipping update. +2025-11-04 13:24:15,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:15,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.87, mean=-0.1625, std=2.768, absmax=12.08 +2025-11-04 13:24:15,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=9.714, mean=-0.1793, std=2.524, absmax=10.24 +2025-11-04 13:24:15,507 ERROR: Encountered non-finite generator loss at iter 21380; skipping update. +2025-11-04 13:24:15,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:15,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.9, mean=-0.03449, std=3.43, absmax=13.27 +2025-11-04 13:24:15,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.38, mean=-0.04031, std=3.125, absmax=11.74 +2025-11-04 13:24:15,868 ERROR: Encountered non-finite generator loss at iter 21381; skipping update. +2025-11-04 13:24:15,869 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,871 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:15,871 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:15,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.42, mean=-0.3072, std=3.239, absmax=14.42 +2025-11-04 13:24:15,872 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.5, mean=-0.2868, std=2.974, absmax=12.07 +2025-11-04 13:24:16,229 ERROR: Encountered non-finite generator loss at iter 21382; skipping update. +2025-11-04 13:24:16,230 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,231 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,231 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:16,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.41, mean=-0.1121, std=3.003, absmax=14.41 +2025-11-04 13:24:16,232 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=14.65, mean=-0.1016, std=2.816, absmax=14.65 +2025-11-04 13:24:16,590 ERROR: Encountered non-finite generator loss at iter 21383; skipping update. +2025-11-04 13:24:16,590 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,591 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,592 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:16,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.64, mean=-0.335, std=2.993, absmax=11.74 +2025-11-04 13:24:16,593 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=8.38, mean=-0.3798, std=2.831, absmax=11.32 +2025-11-04 13:24:16,951 ERROR: Encountered non-finite generator loss at iter 21384; skipping update. +2025-11-04 13:24:16,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:16,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:16,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.89, mean=-0.2966, std=3.056, absmax=13.53 +2025-11-04 13:24:16,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.34, mean=-0.3017, std=2.791, absmax=12.81 +2025-11-04 13:24:17,312 ERROR: Encountered non-finite generator loss at iter 21385; skipping update. +2025-11-04 13:24:17,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:17,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:17,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:17,315 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:17,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.49, mean=-0.182, std=3.082, absmax=12.49 +2025-11-04 13:24:17,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=12.3, mean=-0.1276, std=2.871, absmax=12.3 +2025-11-04 13:24:17,673 ERROR: Encountered non-finite generator loss at iter 21386; skipping update. +2025-11-04 13:24:17,674 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:17,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:17,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:17,675 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:17,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=10.78, mean=-0.3585, std=3.137, absmax=13.84 +2025-11-04 13:24:17,676 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=9.293, mean=-0.3449, std=2.962, absmax=11.99 +2025-11-04 13:24:18,033 ERROR: Encountered non-finite generator loss at iter 21387; skipping update. +2025-11-04 13:24:18,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:18,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=10.13, mean=-0.3842, std=2.83, absmax=14.12 +2025-11-04 13:24:18,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=9.114, mean=-0.337, std=2.794, absmax=12.6 +2025-11-04 13:24:18,393 ERROR: Encountered non-finite generator loss at iter 21388; skipping update. +2025-11-04 13:24:18,394 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,395 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:18,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.19, mean=-0.3811, std=2.611, absmax=13.31 +2025-11-04 13:24:18,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.47, mean=-0.3598, std=2.495, absmax=12.02 +2025-11-04 13:24:18,754 ERROR: Encountered non-finite generator loss at iter 21389; skipping update. +2025-11-04 13:24:18,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:18,756 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:18,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=11.14, mean=-0.3289, std=2.623, absmax=11.14 +2025-11-04 13:24:18,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.63, mean=-0.3814, std=2.59, absmax=11.39 +2025-11-04 13:24:19,115 ERROR: Encountered non-finite generator loss at iter 21390; skipping update. +2025-11-04 13:24:19,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:19,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=10.13, mean=-0.1872, std=2.81, absmax=13.74 +2025-11-04 13:24:19,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=9.026, mean=-0.1655, std=2.597, absmax=12.19 +2025-11-04 13:24:19,475 ERROR: Encountered non-finite generator loss at iter 21391; skipping update. +2025-11-04 13:24:19,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:19,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=11.74, mean=-0.1692, std=3.101, absmax=12.55 +2025-11-04 13:24:19,478 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11, mean=-0.1975, std=2.861, absmax=11.65 +2025-11-04 13:24:19,835 ERROR: Encountered non-finite generator loss at iter 21392; skipping update. +2025-11-04 13:24:19,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:19,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:19,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.95, max=15.94, mean=-0.05293, std=4, absmax=15.95 +2025-11-04 13:24:19,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.78, max=14.06, mean=-0.0713, std=3.82, absmax=14.78 +2025-11-04 13:24:20,195 ERROR: Encountered non-finite generator loss at iter 21393; skipping update. +2025-11-04 13:24:20,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:20,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=10.11, mean=-0.325, std=2.754, absmax=12.06 +2025-11-04 13:24:20,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.06, mean=-0.3172, std=2.547, absmax=11.46 +2025-11-04 13:24:20,555 ERROR: Encountered non-finite generator loss at iter 21394; skipping update. +2025-11-04 13:24:20,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:20,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.51, mean=0.009934, std=3.44, absmax=13.51 +2025-11-04 13:24:20,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=11.91, mean=-0.02178, std=3.113, absmax=12.95 +2025-11-04 13:24:20,915 ERROR: Encountered non-finite generator loss at iter 21395; skipping update. +2025-11-04 13:24:20,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:20,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:20,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.16, mean=-0.1703, std=2.998, absmax=13.16 +2025-11-04 13:24:20,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.74, mean=-0.1603, std=2.925, absmax=12.74 +2025-11-04 13:24:21,275 ERROR: Encountered non-finite generator loss at iter 21396; skipping update. +2025-11-04 13:24:21,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:21,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.56, mean=-0.2576, std=2.679, absmax=13.56 +2025-11-04 13:24:21,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=12.36, mean=-0.2078, std=2.453, absmax=12.36 +2025-11-04 13:24:21,635 ERROR: Encountered non-finite generator loss at iter 21397; skipping update. +2025-11-04 13:24:21,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:21,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=12.13, mean=-0.1494, std=2.348, absmax=12.13 +2025-11-04 13:24:21,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=10.92, mean=-0.1518, std=2.246, absmax=10.92 +2025-11-04 13:24:21,996 ERROR: Encountered non-finite generator loss at iter 21398; skipping update. +2025-11-04 13:24:21,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:21,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:21,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=17.28, mean=-0.2645, std=3.17, absmax=17.28 +2025-11-04 13:24:22,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=13.79, mean=-0.2274, std=2.926, absmax=13.79 +2025-11-04 13:24:22,356 ERROR: Encountered non-finite generator loss at iter 21399; skipping update. +2025-11-04 13:24:22,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:22,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:22,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:22,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:22,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=14.55, mean=0.04086, std=3.247, absmax=14.55 +2025-11-04 13:24:22,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.967, max=13.45, mean=0.03477, std=3.082, absmax=13.45 +2025-11-04 13:24:22,717 ERROR: Encountered non-finite generator loss at iter 21400; skipping update. +2025-11-04 13:24:22,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:22,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:22,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:22,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:22,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.81, mean=-0.1255, std=2.789, absmax=12.65 +2025-11-04 13:24:22,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=10.37, mean=-0.1088, std=2.69, absmax=10.92 +2025-11-04 13:24:22,721 INFO: [38..][epoch: 0, step: 21,400, lr:(2.000e-04,)] [eta: 1 day, 7:04:26, time (data): 0.361 (0.000)] +2025-11-04 13:24:23,077 ERROR: Encountered non-finite generator loss at iter 21401; skipping update. +2025-11-04 13:24:23,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:23,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.38, mean=-0.3557, std=3.394, absmax=13.45 +2025-11-04 13:24:23,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.03, mean=-0.3032, std=3.206, absmax=11.39 +2025-11-04 13:24:23,437 ERROR: Encountered non-finite generator loss at iter 21402; skipping update. +2025-11-04 13:24:23,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:23,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.33, mean=-0.1154, std=3.216, absmax=14.33 +2025-11-04 13:24:23,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=12.33, mean=-0.08663, std=2.918, absmax=12.86 +2025-11-04 13:24:23,797 ERROR: Encountered non-finite generator loss at iter 21403; skipping update. +2025-11-04 13:24:23,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:23,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:23,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=17.74, mean=-0.05983, std=2.756, absmax=17.74 +2025-11-04 13:24:23,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=13.24, mean=-0.05024, std=2.547, absmax=13.24 +2025-11-04 13:24:24,157 ERROR: Encountered non-finite generator loss at iter 21404; skipping update. +2025-11-04 13:24:24,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:24,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=12.22, mean=-0.3196, std=2.896, absmax=14.03 +2025-11-04 13:24:24,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=10.78, mean=-0.2889, std=2.706, absmax=12.54 +2025-11-04 13:24:24,519 ERROR: Encountered non-finite generator loss at iter 21405; skipping update. +2025-11-04 13:24:24,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:24,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.52, mean=-0.01024, std=3.07, absmax=14.52 +2025-11-04 13:24:24,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=13.04, mean=0.002425, std=2.82, absmax=13.04 +2025-11-04 13:24:24,879 ERROR: Encountered non-finite generator loss at iter 21406; skipping update. +2025-11-04 13:24:24,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:24,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:24,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.62, mean=-0.01744, std=2.99, absmax=13.74 +2025-11-04 13:24:24,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=12.29, mean=-0.002197, std=2.768, absmax=13.18 +2025-11-04 13:24:25,239 ERROR: Encountered non-finite generator loss at iter 21407; skipping update. +2025-11-04 13:24:25,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:25,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.06, mean=-0.05932, std=3.18, absmax=13.18 +2025-11-04 13:24:25,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=11.26, mean=-0.1065, std=2.994, absmax=11.63 +2025-11-04 13:24:25,600 ERROR: Encountered non-finite generator loss at iter 21408; skipping update. +2025-11-04 13:24:25,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:25,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=14.1, mean=-0.1037, std=2.991, absmax=14.1 +2025-11-04 13:24:25,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=12.54, mean=-0.09676, std=2.853, absmax=12.54 +2025-11-04 13:24:25,961 ERROR: Encountered non-finite generator loss at iter 21409; skipping update. +2025-11-04 13:24:25,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:25,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:25,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=10.84, mean=-0.1977, std=2.744, absmax=12.91 +2025-11-04 13:24:25,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=9.525, mean=-0.1749, std=2.54, absmax=10.7 +2025-11-04 13:24:26,321 ERROR: Encountered non-finite generator loss at iter 21410; skipping update. +2025-11-04 13:24:26,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:26,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:26,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:26,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:26,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=14.47, mean=-0.06766, std=3.765, absmax=14.47 +2025-11-04 13:24:26,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.74, max=13.38, mean=-0.06872, std=3.464, absmax=15.74 +2025-11-04 13:24:26,681 ERROR: Encountered non-finite generator loss at iter 21411; skipping update. +2025-11-04 13:24:26,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:26,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:26,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:26,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:26,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=15.4, mean=0.01031, std=3.472, absmax=15.4 +2025-11-04 13:24:26,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=15.38, mean=0.04319, std=3.316, absmax=15.38 +2025-11-04 13:24:27,042 ERROR: Encountered non-finite generator loss at iter 21412; skipping update. +2025-11-04 13:24:27,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:27,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=11.23, mean=-0.1579, std=3.27, absmax=13.79 +2025-11-04 13:24:27,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=9.81, mean=-0.1698, std=3.191, absmax=12.36 +2025-11-04 13:24:27,402 ERROR: Encountered non-finite generator loss at iter 21413; skipping update. +2025-11-04 13:24:27,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:27,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=11.85, mean=-0.1997, std=2.566, absmax=11.85 +2025-11-04 13:24:27,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.892, max=9.779, mean=-0.2526, std=2.423, absmax=9.892 +2025-11-04 13:24:27,762 ERROR: Encountered non-finite generator loss at iter 21414; skipping update. +2025-11-04 13:24:27,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:27,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:27,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=10.6, mean=-0.2625, std=2.734, absmax=13.59 +2025-11-04 13:24:27,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=9.495, mean=-0.2889, std=2.629, absmax=12.74 +2025-11-04 13:24:28,122 ERROR: Encountered non-finite generator loss at iter 21415; skipping update. +2025-11-04 13:24:28,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:28,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=14.73, mean=-0.2136, std=2.96, absmax=14.73 +2025-11-04 13:24:28,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=14.18, mean=-0.2141, std=2.784, absmax=14.18 +2025-11-04 13:24:28,482 ERROR: Encountered non-finite generator loss at iter 21416; skipping update. +2025-11-04 13:24:28,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:28,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=15.5, mean=0.2559, std=4.008, absmax=15.5 +2025-11-04 13:24:28,486 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.79, mean=0.2576, std=3.658, absmax=12.79 +2025-11-04 13:24:28,842 ERROR: Encountered non-finite generator loss at iter 21417; skipping update. +2025-11-04 13:24:28,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,844 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:28,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:28,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.93, mean=-0.1232, std=2.645, absmax=12.93 +2025-11-04 13:24:28,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=11.13, mean=-0.1066, std=2.495, absmax=11.13 +2025-11-04 13:24:29,202 ERROR: Encountered non-finite generator loss at iter 21418; skipping update. +2025-11-04 13:24:29,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:29,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=14.07, mean=-0.06997, std=3.017, absmax=14.07 +2025-11-04 13:24:29,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=12.4, mean=-0.06135, std=2.805, absmax=12.4 +2025-11-04 13:24:29,562 ERROR: Encountered non-finite generator loss at iter 21419; skipping update. +2025-11-04 13:24:29,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:29,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.07, mean=-0.3076, std=3.06, absmax=12.17 +2025-11-04 13:24:29,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=8.781, mean=-0.2799, std=2.877, absmax=11.81 +2025-11-04 13:24:29,922 ERROR: Encountered non-finite generator loss at iter 21420; skipping update. +2025-11-04 13:24:29,923 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,924 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:29,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:29,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.15, mean=-0.04625, std=3.01, absmax=15.15 +2025-11-04 13:24:29,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=12.2, mean=-0.04649, std=2.736, absmax=12.2 +2025-11-04 13:24:30,282 ERROR: Encountered non-finite generator loss at iter 21421; skipping update. +2025-11-04 13:24:30,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:30,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:30,284 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:30,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:30,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=13.68, mean=0.01857, std=3.109, absmax=13.68 +2025-11-04 13:24:30,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=12.48, mean=0.02532, std=2.85, absmax=12.48 +2025-11-04 13:24:30,643 ERROR: Encountered non-finite generator loss at iter 21422; skipping update. +2025-11-04 13:24:30,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:30,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:30,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:30,646 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:30,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=16.45, mean=-0.1227, std=3.264, absmax=16.45 +2025-11-04 13:24:30,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=15.81, mean=-0.1324, std=3.109, absmax=15.81 +2025-11-04 13:24:31,003 ERROR: Encountered non-finite generator loss at iter 21423; skipping update. +2025-11-04 13:24:31,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:31,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.09, mean=-0.1991, std=3.462, absmax=13.09 +2025-11-04 13:24:31,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=11.25, mean=-0.1746, std=3.232, absmax=12.98 +2025-11-04 13:24:31,363 ERROR: Encountered non-finite generator loss at iter 21424; skipping update. +2025-11-04 13:24:31,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:31,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.32, mean=0.01906, std=2.988, absmax=13.32 +2025-11-04 13:24:31,367 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.26, mean=-0.005989, std=2.752, absmax=12.26 +2025-11-04 13:24:31,723 ERROR: Encountered non-finite generator loss at iter 21425; skipping update. +2025-11-04 13:24:31,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:31,726 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:31,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=10.06, mean=-0.2112, std=2.842, absmax=13.04 +2025-11-04 13:24:31,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=9.424, mean=-0.2423, std=2.729, absmax=12.55 +2025-11-04 13:24:32,082 ERROR: Encountered non-finite generator loss at iter 21426; skipping update. +2025-11-04 13:24:32,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:32,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.63, mean=-0.1706, std=3.206, absmax=12.89 +2025-11-04 13:24:32,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.69, mean=-0.1873, std=2.918, absmax=11.69 +2025-11-04 13:24:32,442 ERROR: Encountered non-finite generator loss at iter 21427; skipping update. +2025-11-04 13:24:32,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,444 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:32,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=18.47, mean=-0.1761, std=2.988, absmax=18.47 +2025-11-04 13:24:32,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=16.51, mean=-0.2018, std=2.728, absmax=16.51 +2025-11-04 13:24:32,802 ERROR: Encountered non-finite generator loss at iter 21428; skipping update. +2025-11-04 13:24:32,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:32,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:32,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.41, mean=-0.1803, std=2.722, absmax=13.63 +2025-11-04 13:24:32,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=11.04, mean=-0.1515, std=2.631, absmax=13.04 +2025-11-04 13:24:33,163 ERROR: Encountered non-finite generator loss at iter 21429; skipping update. +2025-11-04 13:24:33,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:33,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.59, mean=-0.1278, std=3.042, absmax=12.12 +2025-11-04 13:24:33,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=9.899, mean=-0.1544, std=2.841, absmax=11.02 +2025-11-04 13:24:33,523 ERROR: Encountered non-finite generator loss at iter 21430; skipping update. +2025-11-04 13:24:33,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:33,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=15.94, mean=-0.0401, std=3.197, absmax=15.94 +2025-11-04 13:24:33,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.95, mean=-0.03004, std=2.954, absmax=12.95 +2025-11-04 13:24:33,883 ERROR: Encountered non-finite generator loss at iter 21431; skipping update. +2025-11-04 13:24:33,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:33,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:33,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=13.4, mean=0.2312, std=3.329, absmax=13.4 +2025-11-04 13:24:33,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=11.68, mean=0.2048, std=2.939, absmax=11.68 +2025-11-04 13:24:34,243 ERROR: Encountered non-finite generator loss at iter 21432; skipping update. +2025-11-04 13:24:34,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:34,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=16.88, mean=-0.1529, std=2.961, absmax=16.88 +2025-11-04 13:24:34,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=14.26, mean=-0.1449, std=2.823, absmax=14.26 +2025-11-04 13:24:34,603 ERROR: Encountered non-finite generator loss at iter 21433; skipping update. +2025-11-04 13:24:34,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:34,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=15.69, mean=-0.3288, std=3.032, absmax=15.69 +2025-11-04 13:24:34,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=11.6, mean=-0.3464, std=2.752, absmax=12.11 +2025-11-04 13:24:34,962 ERROR: Encountered non-finite generator loss at iter 21434; skipping update. +2025-11-04 13:24:34,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:34,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:34,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.61, mean=-0.04314, std=2.758, absmax=12.61 +2025-11-04 13:24:34,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.97, mean=-0.0297, std=2.644, absmax=11.97 +2025-11-04 13:24:35,322 ERROR: Encountered non-finite generator loss at iter 21435; skipping update. +2025-11-04 13:24:35,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:35,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:35,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:35,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:35,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.46, mean=-0.2099, std=2.653, absmax=12.57 +2025-11-04 13:24:35,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=9.731, mean=-0.1866, std=2.526, absmax=11.98 +2025-11-04 13:24:35,682 ERROR: Encountered non-finite generator loss at iter 21436; skipping update. +2025-11-04 13:24:35,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:35,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:35,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:35,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:35,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.92, mean=-0.1453, std=2.937, absmax=13.92 +2025-11-04 13:24:35,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=11.47, mean=-0.1743, std=2.634, absmax=11.85 +2025-11-04 13:24:36,041 ERROR: Encountered non-finite generator loss at iter 21437; skipping update. +2025-11-04 13:24:36,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:36,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.73, mean=-0.009948, std=3.285, absmax=14.86 +2025-11-04 13:24:36,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=12.52, mean=-0.0594, std=2.981, absmax=12.79 +2025-11-04 13:24:36,402 ERROR: Encountered non-finite generator loss at iter 21438; skipping update. +2025-11-04 13:24:36,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:36,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=15.07, mean=-0.07535, std=3.049, absmax=15.07 +2025-11-04 13:24:36,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=13.43, mean=0.008659, std=2.949, absmax=13.43 +2025-11-04 13:24:36,761 ERROR: Encountered non-finite generator loss at iter 21439; skipping update. +2025-11-04 13:24:36,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:36,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:36,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=9.978, mean=-0.1617, std=2.845, absmax=12.97 +2025-11-04 13:24:36,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.59, mean=-0.09087, std=2.81, absmax=11.59 +2025-11-04 13:24:37,122 ERROR: Encountered non-finite generator loss at iter 21440; skipping update. +2025-11-04 13:24:37,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:37,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.44, mean=-0.1016, std=3.416, absmax=14.44 +2025-11-04 13:24:37,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=13.27, mean=-0.1094, std=3.159, absmax=13.27 +2025-11-04 13:24:37,482 ERROR: Encountered non-finite generator loss at iter 21441; skipping update. +2025-11-04 13:24:37,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:37,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=14.4, mean=-0.03597, std=3.34, absmax=14.4 +2025-11-04 13:24:37,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=12.07, mean=-0.03206, std=3.102, absmax=12.07 +2025-11-04 13:24:37,842 ERROR: Encountered non-finite generator loss at iter 21442; skipping update. +2025-11-04 13:24:37,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,844 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:37,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:37,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.7, mean=-0.2348, std=2.782, absmax=12.63 +2025-11-04 13:24:37,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=9.012, mean=-0.2054, std=2.493, absmax=10.29 +2025-11-04 13:24:38,202 ERROR: Encountered non-finite generator loss at iter 21443; skipping update. +2025-11-04 13:24:38,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:38,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=15.02, mean=-0.1797, std=2.695, absmax=15.02 +2025-11-04 13:24:38,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=11.14, mean=-0.1897, std=2.729, absmax=11.38 +2025-11-04 13:24:38,562 ERROR: Encountered non-finite generator loss at iter 21444; skipping update. +2025-11-04 13:24:38,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:38,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.04, mean=-0.09382, std=3.079, absmax=14.17 +2025-11-04 13:24:38,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.52, max=11.77, mean=-0.09475, std=2.925, absmax=13.52 +2025-11-04 13:24:38,922 ERROR: Encountered non-finite generator loss at iter 21445; skipping update. +2025-11-04 13:24:38,923 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,924 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:38,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:38,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=15.14, mean=-0.0892, std=3.028, absmax=15.14 +2025-11-04 13:24:38,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=13.92, mean=-0.04754, std=2.853, absmax=13.92 +2025-11-04 13:24:39,282 ERROR: Encountered non-finite generator loss at iter 21446; skipping update. +2025-11-04 13:24:39,283 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:39,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:39,284 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:39,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:39,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.85, mean=-0.09699, std=3.267, absmax=13.85 +2025-11-04 13:24:39,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.89, mean=-0.09545, std=3.047, absmax=12.89 +2025-11-04 13:24:39,642 ERROR: Encountered non-finite generator loss at iter 21447; skipping update. +2025-11-04 13:24:39,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:39,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:39,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:39,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:39,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.92, mean=-0.1856, std=2.813, absmax=12.03 +2025-11-04 13:24:39,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=11.34, mean=-0.1762, std=2.648, absmax=11.34 +2025-11-04 13:24:40,003 ERROR: Encountered non-finite generator loss at iter 21448; skipping update. +2025-11-04 13:24:40,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,005 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:40,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=12.43, mean=-0.1907, std=3.304, absmax=15.03 +2025-11-04 13:24:40,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=10.81, mean=-0.1636, std=3.017, absmax=13.17 +2025-11-04 13:24:40,363 ERROR: Encountered non-finite generator loss at iter 21449; skipping update. +2025-11-04 13:24:40,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:40,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=12.24, mean=-0.1322, std=2.366, absmax=12.24 +2025-11-04 13:24:40,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=9.611, mean=-0.1257, std=2.206, absmax=11.76 +2025-11-04 13:24:40,723 ERROR: Encountered non-finite generator loss at iter 21450; skipping update. +2025-11-04 13:24:40,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:40,725 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:40,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.53, mean=-0.1214, std=3.096, absmax=13.53 +2025-11-04 13:24:40,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.87, mean=-0.09912, std=2.76, absmax=11.87 +2025-11-04 13:24:41,083 ERROR: Encountered non-finite generator loss at iter 21451; skipping update. +2025-11-04 13:24:41,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,086 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:41,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.92, mean=-0.02146, std=2.935, absmax=13.92 +2025-11-04 13:24:41,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.88, mean=-0.05682, std=2.696, absmax=11.88 +2025-11-04 13:24:41,443 ERROR: Encountered non-finite generator loss at iter 21452; skipping update. +2025-11-04 13:24:41,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:41,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=14.12, mean=-0.05437, std=3.323, absmax=14.49 +2025-11-04 13:24:41,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=15, mean=-0.0341, std=3.135, absmax=15 +2025-11-04 13:24:41,803 ERROR: Encountered non-finite generator loss at iter 21453; skipping update. +2025-11-04 13:24:41,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:41,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:41,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.78, mean=-0.2959, std=3.196, absmax=15.78 +2025-11-04 13:24:41,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=14.13, mean=-0.2501, std=2.995, absmax=14.13 +2025-11-04 13:24:42,163 ERROR: Encountered non-finite generator loss at iter 21454; skipping update. +2025-11-04 13:24:42,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:42,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.23, max=13.63, mean=-0.2105, std=3.292, absmax=16.23 +2025-11-04 13:24:42,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=12.73, mean=-0.221, std=3.146, absmax=12.73 +2025-11-04 13:24:42,524 ERROR: Encountered non-finite generator loss at iter 21455; skipping update. +2025-11-04 13:24:42,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:42,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=16.39, mean=0.05599, std=3.439, absmax=16.39 +2025-11-04 13:24:42,527 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=14.07, mean=0.01567, std=3.13, absmax=14.07 +2025-11-04 13:24:42,883 ERROR: Encountered non-finite generator loss at iter 21456; skipping update. +2025-11-04 13:24:42,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:42,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:42,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.11, mean=0.06099, std=3.412, absmax=13.21 +2025-11-04 13:24:42,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.23, mean=0.04322, std=3.127, absmax=11.25 +2025-11-04 13:24:43,243 ERROR: Encountered non-finite generator loss at iter 21457; skipping update. +2025-11-04 13:24:43,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:43,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=10.74, mean=-0.2598, std=2.899, absmax=12.48 +2025-11-04 13:24:43,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=9.789, mean=-0.2534, std=2.706, absmax=11.09 +2025-11-04 13:24:43,603 ERROR: Encountered non-finite generator loss at iter 21458; skipping update. +2025-11-04 13:24:43,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,605 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:43,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=14.41, mean=-0.1597, std=2.864, absmax=14.41 +2025-11-04 13:24:43,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=10.46, mean=-0.1487, std=2.635, absmax=10.46 +2025-11-04 13:24:43,962 ERROR: Encountered non-finite generator loss at iter 21459; skipping update. +2025-11-04 13:24:43,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:43,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:43,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=17.98, mean=-0.02793, std=2.823, absmax=17.98 +2025-11-04 13:24:43,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.46, mean=-0.07148, std=2.694, absmax=12.46 +2025-11-04 13:24:44,322 ERROR: Encountered non-finite generator loss at iter 21460; skipping update. +2025-11-04 13:24:44,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:44,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:44,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:44,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:44,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.41, mean=-0.2029, std=2.863, absmax=12.52 +2025-11-04 13:24:44,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=9.405, mean=-0.1805, std=2.535, absmax=10.91 +2025-11-04 13:24:44,683 ERROR: Encountered non-finite generator loss at iter 21461; skipping update. +2025-11-04 13:24:44,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:44,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:44,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:44,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:44,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.14, mean=-0.131, std=2.807, absmax=12.14 +2025-11-04 13:24:44,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=11.92, mean=-0.1062, std=2.684, absmax=11.92 +2025-11-04 13:24:45,043 ERROR: Encountered non-finite generator loss at iter 21462; skipping update. +2025-11-04 13:24:45,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,045 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:45,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=10.24, mean=-0.3844, std=2.813, absmax=13.62 +2025-11-04 13:24:45,046 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=9.783, mean=-0.4218, std=2.672, absmax=11.89 +2025-11-04 13:24:45,402 ERROR: Encountered non-finite generator loss at iter 21463; skipping update. +2025-11-04 13:24:45,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:45,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=11.73, mean=-0.3115, std=2.94, absmax=11.73 +2025-11-04 13:24:45,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.57, mean=-0.2704, std=2.705, absmax=10.99 +2025-11-04 13:24:45,762 ERROR: Encountered non-finite generator loss at iter 21464; skipping update. +2025-11-04 13:24:45,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:45,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:45,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.28, mean=-0.06348, std=3.023, absmax=14.06 +2025-11-04 13:24:45,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=10.48, mean=-0.03068, std=2.719, absmax=11.84 +2025-11-04 13:24:46,122 ERROR: Encountered non-finite generator loss at iter 21465; skipping update. +2025-11-04 13:24:46,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:46,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=11.72, mean=-0.2315, std=2.784, absmax=11.77 +2025-11-04 13:24:46,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=10.7, mean=-0.2042, std=2.677, absmax=11.85 +2025-11-04 13:24:46,483 ERROR: Encountered non-finite generator loss at iter 21466; skipping update. +2025-11-04 13:24:46,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:46,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.17, mean=-0.2205, std=2.806, absmax=13.17 +2025-11-04 13:24:46,486 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.41, mean=-0.1909, std=2.758, absmax=12.1 +2025-11-04 13:24:46,842 ERROR: Encountered non-finite generator loss at iter 21467; skipping update. +2025-11-04 13:24:46,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:46,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:46,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=14.13, mean=-0.06789, std=3.051, absmax=14.13 +2025-11-04 13:24:46,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.22, mean=-0.08282, std=2.829, absmax=12.22 +2025-11-04 13:24:47,202 ERROR: Encountered non-finite generator loss at iter 21468; skipping update. +2025-11-04 13:24:47,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:47,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=14.7, mean=-0.2411, std=3.198, absmax=14.7 +2025-11-04 13:24:47,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.6, mean=-0.2336, std=2.996, absmax=12.12 +2025-11-04 13:24:47,562 ERROR: Encountered non-finite generator loss at iter 21469; skipping update. +2025-11-04 13:24:47,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:47,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.66, mean=-0.04495, std=3.039, absmax=13.73 +2025-11-04 13:24:47,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=11.44, mean=-0.02827, std=2.788, absmax=11.44 +2025-11-04 13:24:47,922 ERROR: Encountered non-finite generator loss at iter 21470; skipping update. +2025-11-04 13:24:47,923 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,924 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:47,924 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:47,925 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=14.02, mean=-0.1157, std=3.431, absmax=15.4 +2025-11-04 13:24:47,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.29, max=12.1, mean=-0.1165, std=3.243, absmax=13.29 +2025-11-04 13:24:48,281 ERROR: Encountered non-finite generator loss at iter 21471; skipping update. +2025-11-04 13:24:48,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:48,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:48,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:48,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:48,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.53, mean=-0.3569, std=2.709, absmax=12.53 +2025-11-04 13:24:48,285 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=10.89, mean=-0.3152, std=2.597, absmax=12.25 +2025-11-04 13:24:48,642 ERROR: Encountered non-finite generator loss at iter 21472; skipping update. +2025-11-04 13:24:48,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:48,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:48,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:48,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:48,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=10.55, mean=-0.1894, std=2.863, absmax=11.99 +2025-11-04 13:24:48,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.741, mean=-0.1939, std=2.701, absmax=11.67 +2025-11-04 13:24:49,002 ERROR: Encountered non-finite generator loss at iter 21473; skipping update. +2025-11-04 13:24:49,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:49,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.18, mean=-0.04063, std=2.588, absmax=14.18 +2025-11-04 13:24:49,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.66, mean=-0.01665, std=2.499, absmax=10.66 +2025-11-04 13:24:49,362 ERROR: Encountered non-finite generator loss at iter 21474; skipping update. +2025-11-04 13:24:49,363 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,364 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:49,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=11.07, mean=-0.2094, std=2.514, absmax=14.7 +2025-11-04 13:24:49,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=10.39, mean=-0.2146, std=2.336, absmax=12.75 +2025-11-04 13:24:49,725 ERROR: Encountered non-finite generator loss at iter 21475; skipping update. +2025-11-04 13:24:49,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:49,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:49,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=15.1, mean=-0.1369, std=2.817, absmax=15.1 +2025-11-04 13:24:49,729 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=12.49, mean=-0.1356, std=2.587, absmax=12.49 +2025-11-04 13:24:50,084 ERROR: Encountered non-finite generator loss at iter 21476; skipping update. +2025-11-04 13:24:50,085 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,086 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:50,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=10.89, mean=-0.2603, std=2.287, absmax=11.58 +2025-11-04 13:24:50,088 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=9.776, mean=-0.2548, std=2.124, absmax=11.04 +2025-11-04 13:24:50,444 ERROR: Encountered non-finite generator loss at iter 21477; skipping update. +2025-11-04 13:24:50,445 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,446 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,446 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:50,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.02, mean=0.02244, std=2.977, absmax=13.02 +2025-11-04 13:24:50,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=13.64, mean=0.06554, std=2.871, absmax=13.64 +2025-11-04 13:24:50,803 ERROR: Encountered non-finite generator loss at iter 21478; skipping update. +2025-11-04 13:24:50,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:50,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:50,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.87, mean=-0.02538, std=3.376, absmax=13.87 +2025-11-04 13:24:50,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.6, mean=-0.03243, std=3.071, absmax=12.6 +2025-11-04 13:24:51,162 ERROR: Encountered non-finite generator loss at iter 21479; skipping update. +2025-11-04 13:24:51,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:51,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=14.88, mean=-0.1306, std=2.895, absmax=14.88 +2025-11-04 13:24:51,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=13.48, mean=-0.132, std=2.698, absmax=13.48 +2025-11-04 13:24:51,522 ERROR: Encountered non-finite generator loss at iter 21480; skipping update. +2025-11-04 13:24:51,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,524 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:51,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.49, mean=-0.1556, std=3.026, absmax=14.49 +2025-11-04 13:24:51,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=13.36, mean=-0.1345, std=2.963, absmax=13.36 +2025-11-04 13:24:51,883 ERROR: Encountered non-finite generator loss at iter 21481; skipping update. +2025-11-04 13:24:51,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:51,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:51,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.09, mean=-0.2394, std=3.231, absmax=13.94 +2025-11-04 13:24:51,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=11.39, mean=-0.2359, std=2.993, absmax=13.25 +2025-11-04 13:24:52,243 ERROR: Encountered non-finite generator loss at iter 21482; skipping update. +2025-11-04 13:24:52,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:52,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=15.08, mean=-0.1462, std=2.632, absmax=15.08 +2025-11-04 13:24:52,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=12.54, mean=-0.1317, std=2.39, absmax=12.54 +2025-11-04 13:24:52,603 ERROR: Encountered non-finite generator loss at iter 21483; skipping update. +2025-11-04 13:24:52,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,605 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:52,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=13.08, mean=0.03487, std=3.236, absmax=15.06 +2025-11-04 13:24:52,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=11.64, mean=-0.04581, std=2.99, absmax=12.63 +2025-11-04 13:24:52,962 ERROR: Encountered non-finite generator loss at iter 21484; skipping update. +2025-11-04 13:24:52,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:52,964 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:52,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=12.62, mean=-0.1405, std=3.335, absmax=14.31 +2025-11-04 13:24:52,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=11.09, mean=-0.1289, std=3.078, absmax=12.36 +2025-11-04 13:24:53,322 ERROR: Encountered non-finite generator loss at iter 21485; skipping update. +2025-11-04 13:24:53,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:53,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:53,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:53,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:53,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=15.36, mean=-0.1135, std=3.503, absmax=15.36 +2025-11-04 13:24:53,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=14.49, mean=-0.1103, std=3.306, absmax=14.49 +2025-11-04 13:24:53,682 ERROR: Encountered non-finite generator loss at iter 21486; skipping update. +2025-11-04 13:24:53,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:53,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:53,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:53,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:53,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.99, mean=-0.2364, std=3.16, absmax=12.99 +2025-11-04 13:24:53,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.52, mean=-0.1915, std=2.893, absmax=12.52 +2025-11-04 13:24:54,042 ERROR: Encountered non-finite generator loss at iter 21487; skipping update. +2025-11-04 13:24:54,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:54,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.97, mean=0.1089, std=3.381, absmax=14.97 +2025-11-04 13:24:54,046 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=13.21, mean=0.1242, std=3.075, absmax=13.94 +2025-11-04 13:24:54,403 ERROR: Encountered non-finite generator loss at iter 21488; skipping update. +2025-11-04 13:24:54,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:54,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.98, mean=-0.05237, std=3.06, absmax=13.37 +2025-11-04 13:24:54,407 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.76, mean=-0.06373, std=2.721, absmax=12.75 +2025-11-04 13:24:54,764 ERROR: Encountered non-finite generator loss at iter 21489; skipping update. +2025-11-04 13:24:54,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:54,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:54,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.39, mean=-0.3488, std=2.752, absmax=11.64 +2025-11-04 13:24:54,767 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=10.04, mean=-0.3106, std=2.607, absmax=10.4 +2025-11-04 13:24:55,124 ERROR: Encountered non-finite generator loss at iter 21490; skipping update. +2025-11-04 13:24:55,125 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,126 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,126 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:55,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.75, mean=-0.3096, std=3.26, absmax=13.75 +2025-11-04 13:24:55,128 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=10.7, mean=-0.3132, std=3.133, absmax=13.13 +2025-11-04 13:24:55,484 ERROR: Encountered non-finite generator loss at iter 21491; skipping update. +2025-11-04 13:24:55,485 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,486 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,486 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:55,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=16.28, mean=-0.06677, std=3.405, absmax=16.28 +2025-11-04 13:24:55,487 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=13.89, mean=-0.02591, std=3.02, absmax=13.89 +2025-11-04 13:24:55,844 ERROR: Encountered non-finite generator loss at iter 21492; skipping update. +2025-11-04 13:24:55,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:55,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:55,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=13.02, mean=-0.2188, std=3.331, absmax=13.02 +2025-11-04 13:24:55,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.78, mean=-0.2253, std=3.174, absmax=12.78 +2025-11-04 13:24:56,204 ERROR: Encountered non-finite generator loss at iter 21493; skipping update. +2025-11-04 13:24:56,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,206 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:56,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=12.2, mean=-0.1053, std=2.818, absmax=12.2 +2025-11-04 13:24:56,208 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=12.54, mean=-0.09424, std=2.717, absmax=12.54 +2025-11-04 13:24:56,564 ERROR: Encountered non-finite generator loss at iter 21494; skipping update. +2025-11-04 13:24:56,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:56,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.39, mean=-0.08193, std=3.083, absmax=13.39 +2025-11-04 13:24:56,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=11.44, mean=-0.02048, std=2.901, absmax=13.1 +2025-11-04 13:24:56,924 ERROR: Encountered non-finite generator loss at iter 21495; skipping update. +2025-11-04 13:24:56,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:56,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:56,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.4, mean=-0.01398, std=2.571, absmax=12.98 +2025-11-04 13:24:56,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=8.894, mean=-0.03936, std=2.435, absmax=11.07 +2025-11-04 13:24:57,284 ERROR: Encountered non-finite generator loss at iter 21496; skipping update. +2025-11-04 13:24:57,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:57,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:57,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:57,286 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:57,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=13.01, mean=0.009673, std=3.076, absmax=13.01 +2025-11-04 13:24:57,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.75, mean=0.02547, std=2.855, absmax=12.75 +2025-11-04 13:24:57,643 ERROR: Encountered non-finite generator loss at iter 21497; skipping update. +2025-11-04 13:24:57,645 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:57,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:57,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:57,646 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:57,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=14.15, mean=-0.1066, std=3.27, absmax=14.15 +2025-11-04 13:24:57,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=12.4, mean=-0.139, std=2.944, absmax=12.4 +2025-11-04 13:24:58,003 ERROR: Encountered non-finite generator loss at iter 21498; skipping update. +2025-11-04 13:24:58,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:58,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=16.73, mean=-0.214, std=2.965, absmax=16.73 +2025-11-04 13:24:58,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=13.54, mean=-0.1809, std=2.581, absmax=13.54 +2025-11-04 13:24:58,363 ERROR: Encountered non-finite generator loss at iter 21499; skipping update. +2025-11-04 13:24:58,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:58,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.46, mean=-0.217, std=2.894, absmax=13.22 +2025-11-04 13:24:58,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.9, mean=-0.1502, std=2.784, absmax=11.9 +2025-11-04 13:24:58,723 ERROR: Encountered non-finite generator loss at iter 21500; skipping update. +2025-11-04 13:24:58,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,725 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:58,725 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:58,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.71, mean=-0.1328, std=3.088, absmax=14.71 +2025-11-04 13:24:58,727 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=12.59, mean=-0.09425, std=2.784, absmax=12.59 +2025-11-04 13:24:58,727 INFO: [38..][epoch: 0, step: 21,500, lr:(2.000e-04,)] [eta: 1 day, 6:56:52, time (data): 0.360 (0.000)] +2025-11-04 13:24:59,083 ERROR: Encountered non-finite generator loss at iter 21501; skipping update. +2025-11-04 13:24:59,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:59,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=15.33, mean=-0.04435, std=3.356, absmax=15.33 +2025-11-04 13:24:59,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=12.65, mean=-0.03351, std=3.021, absmax=12.65 +2025-11-04 13:24:59,443 ERROR: Encountered non-finite generator loss at iter 21502; skipping update. +2025-11-04 13:24:59,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,446 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:59,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.77, mean=0.02906, std=3.073, absmax=13.77 +2025-11-04 13:24:59,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=13.1, mean=0.02464, std=2.856, absmax=13.1 +2025-11-04 13:24:59,803 ERROR: Encountered non-finite generator loss at iter 21503; skipping update. +2025-11-04 13:24:59,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,805 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:24:59,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:24:59,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=13.98, mean=-0.2276, std=2.711, absmax=13.98 +2025-11-04 13:24:59,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=13.34, mean=-0.2244, std=2.607, absmax=13.34 +2025-11-04 13:25:00,164 ERROR: Encountered non-finite generator loss at iter 21504; skipping update. +2025-11-04 13:25:00,165 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,166 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,167 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:00,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.7, mean=-0.2213, std=3.029, absmax=13.75 +2025-11-04 13:25:00,168 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.45, mean=-0.2266, std=2.809, absmax=11.57 +2025-11-04 13:25:00,525 ERROR: Encountered non-finite generator loss at iter 21505; skipping update. +2025-11-04 13:25:00,526 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,527 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,528 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:00,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=14.6, mean=0.1075, std=3.353, absmax=14.6 +2025-11-04 13:25:00,529 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=12.96, mean=0.04374, std=3.085, absmax=12.96 +2025-11-04 13:25:00,885 ERROR: Encountered non-finite generator loss at iter 21506; skipping update. +2025-11-04 13:25:00,887 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,888 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:00,888 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:00,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.3, mean=0.09669, std=3.102, absmax=13.3 +2025-11-04 13:25:00,889 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=12.26, mean=0.0955, std=2.838, absmax=12.26 +2025-11-04 13:25:01,246 ERROR: Encountered non-finite generator loss at iter 21507; skipping update. +2025-11-04 13:25:01,247 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,248 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,248 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:01,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=13.57, mean=-0.102, std=3.103, absmax=14.45 +2025-11-04 13:25:01,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.45, mean=-0.1558, std=2.736, absmax=12.45 +2025-11-04 13:25:01,606 ERROR: Encountered non-finite generator loss at iter 21508; skipping update. +2025-11-04 13:25:01,607 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,608 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,608 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:01,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.2, max=14.9, mean=-0.3137, std=3.574, absmax=17.2 +2025-11-04 13:25:01,610 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.95, max=12.12, mean=-0.293, std=3.276, absmax=15.95 +2025-11-04 13:25:01,966 ERROR: Encountered non-finite generator loss at iter 21509; skipping update. +2025-11-04 13:25:01,968 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,968 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:01,969 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:01,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=15.06, mean=-0.2836, std=2.845, absmax=15.06 +2025-11-04 13:25:01,970 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=13.64, mean=-0.2857, std=2.699, absmax=13.64 +2025-11-04 13:25:02,328 ERROR: Encountered non-finite generator loss at iter 21510; skipping update. +2025-11-04 13:25:02,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:02,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:02,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:02,330 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:02,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.35, mean=-0.2054, std=2.785, absmax=13.41 +2025-11-04 13:25:02,331 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=13.09, mean=-0.1666, std=2.589, absmax=13.09 +2025-11-04 13:25:02,688 ERROR: Encountered non-finite generator loss at iter 21511; skipping update. +2025-11-04 13:25:02,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:02,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:02,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:02,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:02,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.79, mean=-0.3337, std=2.515, absmax=13.79 +2025-11-04 13:25:02,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.72, mean=-0.3324, std=2.495, absmax=11.72 +2025-11-04 13:25:03,049 ERROR: Encountered non-finite generator loss at iter 21512; skipping update. +2025-11-04 13:25:03,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,051 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:03,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.59, mean=-0.2596, std=2.814, absmax=13.59 +2025-11-04 13:25:03,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=10.3, mean=-0.2692, std=2.617, absmax=11.19 +2025-11-04 13:25:03,409 ERROR: Encountered non-finite generator loss at iter 21513; skipping update. +2025-11-04 13:25:03,410 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,411 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,412 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:03,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.23, max=14.99, mean=-0.28, std=3.193, absmax=18.23 +2025-11-04 13:25:03,413 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=14.66, mean=-0.2611, std=2.977, absmax=14.66 +2025-11-04 13:25:03,770 ERROR: Encountered non-finite generator loss at iter 21514; skipping update. +2025-11-04 13:25:03,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,772 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:03,772 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:03,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=15.94, mean=-0.0893, std=3.451, absmax=15.94 +2025-11-04 13:25:03,773 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=15.52, mean=-0.06906, std=3.355, absmax=15.52 +2025-11-04 13:25:04,130 ERROR: Encountered non-finite generator loss at iter 21515; skipping update. +2025-11-04 13:25:04,131 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,132 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,133 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:04,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.04, mean=0.007955, std=3.101, absmax=12.52 +2025-11-04 13:25:04,134 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=11.74, mean=0.03715, std=2.931, absmax=11.74 +2025-11-04 13:25:04,491 ERROR: Encountered non-finite generator loss at iter 21516; skipping update. +2025-11-04 13:25:04,491 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,492 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,493 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:04,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=15.53, mean=0.08092, std=3.648, absmax=15.53 +2025-11-04 13:25:04,494 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=14.68, mean=0.05504, std=3.424, absmax=14.68 +2025-11-04 13:25:04,851 ERROR: Encountered non-finite generator loss at iter 21517; skipping update. +2025-11-04 13:25:04,852 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:04,853 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:04,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=14.18, mean=-0.0285, std=3.299, absmax=14.18 +2025-11-04 13:25:04,855 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.27, mean=-0.04479, std=3.045, absmax=12.27 +2025-11-04 13:25:05,211 ERROR: Encountered non-finite generator loss at iter 21518; skipping update. +2025-11-04 13:25:05,212 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,213 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,213 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:05,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.63, mean=-0.2424, std=2.98, absmax=13.63 +2025-11-04 13:25:05,214 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=12.61, mean=-0.2011, std=2.725, absmax=12.61 +2025-11-04 13:25:05,571 ERROR: Encountered non-finite generator loss at iter 21519; skipping update. +2025-11-04 13:25:05,572 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:05,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.21, mean=-0.2044, std=2.95, absmax=13.27 +2025-11-04 13:25:05,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=11.96, mean=-0.1867, std=2.879, absmax=12.57 +2025-11-04 13:25:05,931 ERROR: Encountered non-finite generator loss at iter 21520; skipping update. +2025-11-04 13:25:05,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,932 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:05,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:05,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.53, max=14.31, mean=-0.3662, std=3.395, absmax=15.53 +2025-11-04 13:25:05,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=12.48, mean=-0.336, std=3.131, absmax=12.94 +2025-11-04 13:25:06,290 ERROR: Encountered non-finite generator loss at iter 21521; skipping update. +2025-11-04 13:25:06,291 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:06,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:06,292 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:06,293 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:06,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=15.52, mean=-0.06578, std=2.75, absmax=15.52 +2025-11-04 13:25:06,294 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.49, mean=-0.02188, std=2.491, absmax=12.49 +2025-11-04 13:25:06,651 ERROR: Encountered non-finite generator loss at iter 21522; skipping update. +2025-11-04 13:25:06,652 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:06,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:06,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:06,653 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:06,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=14.41, mean=0.06296, std=3.437, absmax=14.41 +2025-11-04 13:25:06,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=14.42, mean=0.07948, std=3.253, absmax=14.42 +2025-11-04 13:25:07,012 ERROR: Encountered non-finite generator loss at iter 21523; skipping update. +2025-11-04 13:25:07,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,014 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:07,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=13.88, mean=-0.2292, std=2.773, absmax=13.88 +2025-11-04 13:25:07,015 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=11.61, mean=-0.2178, std=2.531, absmax=11.61 +2025-11-04 13:25:07,371 ERROR: Encountered non-finite generator loss at iter 21524; skipping update. +2025-11-04 13:25:07,373 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,373 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:07,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.65, mean=-0.267, std=2.894, absmax=13.16 +2025-11-04 13:25:07,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.26, mean=-0.2432, std=2.662, absmax=12.41 +2025-11-04 13:25:07,732 ERROR: Encountered non-finite generator loss at iter 21525; skipping update. +2025-11-04 13:25:07,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:07,734 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:07,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.65, mean=-0.3905, std=2.983, absmax=12.84 +2025-11-04 13:25:07,735 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=9.161, mean=-0.3144, std=2.852, absmax=12.2 +2025-11-04 13:25:08,092 ERROR: Encountered non-finite generator loss at iter 21526; skipping update. +2025-11-04 13:25:08,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:08,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.99, mean=-0.1979, std=2.734, absmax=13.21 +2025-11-04 13:25:08,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=10.75, mean=-0.2055, std=2.672, absmax=12.94 +2025-11-04 13:25:08,451 ERROR: Encountered non-finite generator loss at iter 21527; skipping update. +2025-11-04 13:25:08,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:08,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=13.74, mean=-0.02131, std=3.113, absmax=14.27 +2025-11-04 13:25:08,455 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=12.24, mean=-0.001171, std=2.833, absmax=12.87 +2025-11-04 13:25:08,811 ERROR: Encountered non-finite generator loss at iter 21528; skipping update. +2025-11-04 13:25:08,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:08,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:08,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=15.16, mean=0.1226, std=3.936, absmax=15.16 +2025-11-04 13:25:08,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=15.04, mean=0.1388, std=3.73, absmax=15.04 +2025-11-04 13:25:09,171 ERROR: Encountered non-finite generator loss at iter 21529; skipping update. +2025-11-04 13:25:09,172 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,173 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,173 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:09,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=12.86, mean=-0.1087, std=2.807, absmax=13.64 +2025-11-04 13:25:09,175 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=10.63, mean=-0.1185, std=2.66, absmax=10.78 +2025-11-04 13:25:09,531 ERROR: Encountered non-finite generator loss at iter 21530; skipping update. +2025-11-04 13:25:09,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:09,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=10.95, mean=-0.2518, std=2.75, absmax=13.29 +2025-11-04 13:25:09,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=11.36, mean=-0.1776, std=2.617, absmax=11.63 +2025-11-04 13:25:09,891 ERROR: Encountered non-finite generator loss at iter 21531; skipping update. +2025-11-04 13:25:09,892 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,893 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:09,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:09,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=13.86, mean=-0.03058, std=3.554, absmax=14.94 +2025-11-04 13:25:09,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=13.5, mean=-0.02642, std=3.29, absmax=13.5 +2025-11-04 13:25:10,251 ERROR: Encountered non-finite generator loss at iter 21532; skipping update. +2025-11-04 13:25:10,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:10,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.46, mean=-0.03531, std=2.61, absmax=13.46 +2025-11-04 13:25:10,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.705, max=11.16, mean=-0.008561, std=2.435, absmax=11.16 +2025-11-04 13:25:10,611 ERROR: Encountered non-finite generator loss at iter 21533; skipping update. +2025-11-04 13:25:10,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:10,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=10.7, mean=-0.3494, std=2.877, absmax=12.03 +2025-11-04 13:25:10,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=10.64, mean=-0.27, std=2.718, absmax=11.53 +2025-11-04 13:25:10,972 ERROR: Encountered non-finite generator loss at iter 21534; skipping update. +2025-11-04 13:25:10,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:10,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:10,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=10.51, mean=-0.1608, std=3.179, absmax=14.13 +2025-11-04 13:25:10,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=10.06, mean=-0.1382, std=2.908, absmax=12.14 +2025-11-04 13:25:11,333 ERROR: Encountered non-finite generator loss at iter 21535; skipping update. +2025-11-04 13:25:11,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:11,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:11,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:11,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:11,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=16.28, mean=-0.2183, std=3.24, absmax=16.28 +2025-11-04 13:25:11,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=11.94, mean=-0.2086, std=2.905, absmax=11.94 +2025-11-04 13:25:11,693 ERROR: Encountered non-finite generator loss at iter 21536; skipping update. +2025-11-04 13:25:11,694 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:11,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:11,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:11,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:11,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=11.98, mean=-0.2711, std=3.528, absmax=14.7 +2025-11-04 13:25:11,697 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.02, max=9.991, mean=-0.2828, std=3.304, absmax=14.02 +2025-11-04 13:25:12,054 ERROR: Encountered non-finite generator loss at iter 21537; skipping update. +2025-11-04 13:25:12,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:12,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.26, mean=-0.1117, std=3.054, absmax=15.26 +2025-11-04 13:25:12,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=14.54, mean=-0.1002, std=2.88, absmax=14.54 +2025-11-04 13:25:12,415 ERROR: Encountered non-finite generator loss at iter 21538; skipping update. +2025-11-04 13:25:12,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,417 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:12,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=10.85, mean=-0.2218, std=2.784, absmax=11.99 +2025-11-04 13:25:12,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.28, mean=-0.1892, std=2.627, absmax=11.54 +2025-11-04 13:25:12,775 ERROR: Encountered non-finite generator loss at iter 21539; skipping update. +2025-11-04 13:25:12,776 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:12,777 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:12,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.6, mean=-0.001188, std=2.942, absmax=14.6 +2025-11-04 13:25:12,778 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=12.1, mean=-0.008908, std=2.756, absmax=12.1 +2025-11-04 13:25:13,135 ERROR: Encountered non-finite generator loss at iter 21540; skipping update. +2025-11-04 13:25:13,136 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,137 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,137 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:13,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=10.95, mean=-0.2477, std=2.399, absmax=11.97 +2025-11-04 13:25:13,138 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=10.07, mean=-0.2202, std=2.345, absmax=12.25 +2025-11-04 13:25:13,495 ERROR: Encountered non-finite generator loss at iter 21541; skipping update. +2025-11-04 13:25:13,496 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,497 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:13,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=11.07, mean=-0.2364, std=2.91, absmax=11.56 +2025-11-04 13:25:13,498 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.54, mean=-0.247, std=2.793, absmax=11.2 +2025-11-04 13:25:13,855 ERROR: Encountered non-finite generator loss at iter 21542; skipping update. +2025-11-04 13:25:13,856 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,857 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:13,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:13,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=15.57, mean=-0.3682, std=3.831, absmax=15.57 +2025-11-04 13:25:13,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=12.61, mean=-0.3327, std=3.465, absmax=12.98 +2025-11-04 13:25:14,216 ERROR: Encountered non-finite generator loss at iter 21543; skipping update. +2025-11-04 13:25:14,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:14,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=12.97, mean=-0.2997, std=3.065, absmax=13.17 +2025-11-04 13:25:14,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.6, mean=-0.2359, std=2.827, absmax=11.6 +2025-11-04 13:25:14,576 ERROR: Encountered non-finite generator loss at iter 21544; skipping update. +2025-11-04 13:25:14,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:14,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.33, mean=-0.1712, std=3.023, absmax=13.46 +2025-11-04 13:25:14,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.95, mean=-0.1372, std=2.809, absmax=11.95 +2025-11-04 13:25:14,937 ERROR: Encountered non-finite generator loss at iter 21545; skipping update. +2025-11-04 13:25:14,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:14,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:14,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.77, mean=-0.02156, std=2.795, absmax=12.77 +2025-11-04 13:25:14,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=11.97, mean=-0.02428, std=2.599, absmax=11.97 +2025-11-04 13:25:15,298 ERROR: Encountered non-finite generator loss at iter 21546; skipping update. +2025-11-04 13:25:15,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:15,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:15,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:15,301 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:15,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.08, mean=-0.1754, std=2.829, absmax=13.08 +2025-11-04 13:25:15,302 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=12.75, mean=-0.1295, std=2.573, absmax=12.75 +2025-11-04 13:25:15,658 ERROR: Encountered non-finite generator loss at iter 21547; skipping update. +2025-11-04 13:25:15,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:15,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:15,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:15,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:15,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.38, mean=-0.1856, std=3.089, absmax=14.38 +2025-11-04 13:25:15,661 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=13.54, mean=-0.1768, std=2.968, absmax=13.54 +2025-11-04 13:25:16,018 ERROR: Encountered non-finite generator loss at iter 21548; skipping update. +2025-11-04 13:25:16,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,021 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,021 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:16,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=11.14, mean=-0.3726, std=3.34, absmax=14.11 +2025-11-04 13:25:16,022 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=10.26, mean=-0.3777, std=3.1, absmax=12.86 +2025-11-04 13:25:16,379 ERROR: Encountered non-finite generator loss at iter 21549; skipping update. +2025-11-04 13:25:16,380 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,381 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:16,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.41, mean=-0.2269, std=2.859, absmax=12.41 +2025-11-04 13:25:16,382 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=11.53, mean=-0.1925, std=2.71, absmax=12.06 +2025-11-04 13:25:16,739 ERROR: Encountered non-finite generator loss at iter 21550; skipping update. +2025-11-04 13:25:16,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:16,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:16,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.42, mean=-0.1672, std=2.805, absmax=14.04 +2025-11-04 13:25:16,743 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=12.46, mean=-0.1568, std=2.558, absmax=12.46 +2025-11-04 13:25:17,100 ERROR: Encountered non-finite generator loss at iter 21551; skipping update. +2025-11-04 13:25:17,100 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,101 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,102 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:17,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=14.92, mean=0.0174, std=3.36, absmax=15.18 +2025-11-04 13:25:17,103 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=12.94, mean=0.03848, std=3.132, absmax=13.55 +2025-11-04 13:25:17,460 ERROR: Encountered non-finite generator loss at iter 21552; skipping update. +2025-11-04 13:25:17,461 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,462 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,462 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:17,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=11.91, mean=-0.2491, std=3.085, absmax=11.91 +2025-11-04 13:25:17,463 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=10.6, mean=-0.2471, std=2.853, absmax=10.6 +2025-11-04 13:25:17,820 ERROR: Encountered non-finite generator loss at iter 21553; skipping update. +2025-11-04 13:25:17,821 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,822 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:17,822 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:17,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=14.12, mean=-0.2805, std=3.009, absmax=14.38 +2025-11-04 13:25:17,824 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=11.9, mean=-0.2254, std=2.814, absmax=12.28 +2025-11-04 13:25:18,180 ERROR: Encountered non-finite generator loss at iter 21554; skipping update. +2025-11-04 13:25:18,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,182 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:18,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=14.53, mean=0.1806, std=3.114, absmax=14.53 +2025-11-04 13:25:18,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=14.06, mean=0.134, std=2.767, absmax=14.06 +2025-11-04 13:25:18,541 ERROR: Encountered non-finite generator loss at iter 21555; skipping update. +2025-11-04 13:25:18,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,543 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:18,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=14.09, mean=-0.06885, std=3.204, absmax=14.09 +2025-11-04 13:25:18,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.64, mean=-0.09058, std=2.984, absmax=11.89 +2025-11-04 13:25:18,902 ERROR: Encountered non-finite generator loss at iter 21556; skipping update. +2025-11-04 13:25:18,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:18,904 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:18,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.01, mean=-0.1656, std=3.06, absmax=12.57 +2025-11-04 13:25:18,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=10.46, mean=-0.1628, std=2.844, absmax=11 +2025-11-04 13:25:19,262 ERROR: Encountered non-finite generator loss at iter 21557; skipping update. +2025-11-04 13:25:19,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:19,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.89, mean=-0.2424, std=3.01, absmax=14.89 +2025-11-04 13:25:19,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=12.34, mean=-0.2529, std=2.823, absmax=12.75 +2025-11-04 13:25:19,623 ERROR: Encountered non-finite generator loss at iter 21558; skipping update. +2025-11-04 13:25:19,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:19,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=14.61, mean=-0.2371, std=2.963, absmax=15.01 +2025-11-04 13:25:19,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=12.03, mean=-0.233, std=2.764, absmax=12.41 +2025-11-04 13:25:19,983 ERROR: Encountered non-finite generator loss at iter 21559; skipping update. +2025-11-04 13:25:19,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:19,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:19,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.17, mean=-0.1932, std=3.617, absmax=13.17 +2025-11-04 13:25:19,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=12.9, mean=-0.1641, std=3.451, absmax=12.9 +2025-11-04 13:25:20,341 ERROR: Encountered non-finite generator loss at iter 21560; skipping update. +2025-11-04 13:25:20,342 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:20,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:20,343 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:20,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:20,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=14.07, mean=-0.2701, std=3.263, absmax=14.21 +2025-11-04 13:25:20,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=11.48, mean=-0.2327, std=3.103, absmax=12.88 +2025-11-04 13:25:20,702 ERROR: Encountered non-finite generator loss at iter 21561; skipping update. +2025-11-04 13:25:20,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:20,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:20,703 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:20,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:20,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.72, mean=-0.15, std=2.639, absmax=12.72 +2025-11-04 13:25:20,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=10.3, mean=-0.1363, std=2.525, absmax=12.47 +2025-11-04 13:25:21,061 ERROR: Encountered non-finite generator loss at iter 21562; skipping update. +2025-11-04 13:25:21,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,063 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:21,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=14.63, mean=-0.2874, std=2.57, absmax=14.63 +2025-11-04 13:25:21,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=13.84, mean=-0.2735, std=2.471, absmax=13.84 +2025-11-04 13:25:21,422 ERROR: Encountered non-finite generator loss at iter 21563; skipping update. +2025-11-04 13:25:21,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:21,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=12.9, mean=-0.09539, std=3.057, absmax=12.9 +2025-11-04 13:25:21,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.66, mean=-0.1185, std=2.832, absmax=11.66 +2025-11-04 13:25:21,782 ERROR: Encountered non-finite generator loss at iter 21564; skipping update. +2025-11-04 13:25:21,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:21,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:21,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=13.46, mean=0.1262, std=3.078, absmax=14.18 +2025-11-04 13:25:21,786 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=12.22, mean=0.1217, std=2.739, absmax=12.22 +2025-11-04 13:25:22,143 ERROR: Encountered non-finite generator loss at iter 21565; skipping update. +2025-11-04 13:25:22,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,145 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:22,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.82, mean=-0.3234, std=2.801, absmax=12.82 +2025-11-04 13:25:22,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=9.729, mean=-0.3237, std=2.581, absmax=10.8 +2025-11-04 13:25:22,503 ERROR: Encountered non-finite generator loss at iter 21566; skipping update. +2025-11-04 13:25:22,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:22,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=15.27, mean=0.04148, std=3.549, absmax=15.27 +2025-11-04 13:25:22,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=14.1, mean=0.03753, std=3.259, absmax=14.1 +2025-11-04 13:25:22,863 ERROR: Encountered non-finite generator loss at iter 21567; skipping update. +2025-11-04 13:25:22,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:22,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:22,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=11.99, mean=-0.3723, std=3.021, absmax=13.42 +2025-11-04 13:25:22,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=12.79, mean=-0.3662, std=2.908, absmax=13.25 +2025-11-04 13:25:23,223 ERROR: Encountered non-finite generator loss at iter 21568; skipping update. +2025-11-04 13:25:23,224 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,225 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:23,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.21, mean=-0.2899, std=2.961, absmax=12.84 +2025-11-04 13:25:23,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=9.25, mean=-0.2497, std=2.755, absmax=11.57 +2025-11-04 13:25:23,584 ERROR: Encountered non-finite generator loss at iter 21569; skipping update. +2025-11-04 13:25:23,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,585 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,586 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:23,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.16, mean=-0.1477, std=3.098, absmax=13.16 +2025-11-04 13:25:23,587 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=12.29, mean=-0.1137, std=2.854, absmax=12.29 +2025-11-04 13:25:23,943 ERROR: Encountered non-finite generator loss at iter 21570; skipping update. +2025-11-04 13:25:23,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:23,946 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:23,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=15.25, mean=0.136, std=3.683, absmax=15.25 +2025-11-04 13:25:23,947 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=13.66, mean=0.1203, std=3.384, absmax=13.66 +2025-11-04 13:25:24,302 ERROR: Encountered non-finite generator loss at iter 21571; skipping update. +2025-11-04 13:25:24,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:24,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:24,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:24,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:24,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=16.45, mean=-0.0647, std=3.212, absmax=16.45 +2025-11-04 13:25:24,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.56, max=14.63, mean=-0.07076, std=2.969, absmax=14.63 +2025-11-04 13:25:24,662 ERROR: Encountered non-finite generator loss at iter 21572; skipping update. +2025-11-04 13:25:24,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:24,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:24,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:24,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:24,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.65, mean=-0.3122, std=3.02, absmax=13.65 +2025-11-04 13:25:24,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.79, mean=-0.287, std=2.85, absmax=12.79 +2025-11-04 13:25:25,022 ERROR: Encountered non-finite generator loss at iter 21573; skipping update. +2025-11-04 13:25:25,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:25,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.72, mean=-0.1101, std=2.939, absmax=13.72 +2025-11-04 13:25:25,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.4, mean=-0.154, std=2.728, absmax=11.4 +2025-11-04 13:25:25,383 ERROR: Encountered non-finite generator loss at iter 21574; skipping update. +2025-11-04 13:25:25,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:25,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.89, mean=-0.201, std=2.943, absmax=13.26 +2025-11-04 13:25:25,386 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=10.94, mean=-0.1887, std=2.708, absmax=12.33 +2025-11-04 13:25:25,743 ERROR: Encountered non-finite generator loss at iter 21575; skipping update. +2025-11-04 13:25:25,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:25,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:25,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=16.01, mean=-0.2831, std=3.088, absmax=16.01 +2025-11-04 13:25:25,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=16.27, mean=-0.2624, std=2.877, absmax=16.27 +2025-11-04 13:25:26,103 ERROR: Encountered non-finite generator loss at iter 21576; skipping update. +2025-11-04 13:25:26,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:26,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=16.32, mean=-0.4166, std=3.49, absmax=16.32 +2025-11-04 13:25:26,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=13.19, mean=-0.3706, std=3.422, absmax=13.19 +2025-11-04 13:25:26,463 ERROR: Encountered non-finite generator loss at iter 21577; skipping update. +2025-11-04 13:25:26,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:26,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=16.64, mean=-0.2066, std=3.388, absmax=16.64 +2025-11-04 13:25:26,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.46, mean=-0.2471, std=3.183, absmax=12.46 +2025-11-04 13:25:26,823 ERROR: Encountered non-finite generator loss at iter 21578; skipping update. +2025-11-04 13:25:26,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:26,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:26,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.32, mean=0.002719, std=3.325, absmax=14.32 +2025-11-04 13:25:26,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=13.01, mean=0.01328, std=3.089, absmax=13.01 +2025-11-04 13:25:27,183 ERROR: Encountered non-finite generator loss at iter 21579; skipping update. +2025-11-04 13:25:27,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:27,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=13.07, mean=-0.2731, std=2.767, absmax=13.07 +2025-11-04 13:25:27,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.63, mean=-0.2762, std=2.619, absmax=11.63 +2025-11-04 13:25:27,543 ERROR: Encountered non-finite generator loss at iter 21580; skipping update. +2025-11-04 13:25:27,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:27,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.54, mean=-0.02923, std=2.815, absmax=12.54 +2025-11-04 13:25:27,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.719, max=11.12, mean=-0.03513, std=2.49, absmax=11.12 +2025-11-04 13:25:27,903 ERROR: Encountered non-finite generator loss at iter 21581; skipping update. +2025-11-04 13:25:27,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:27,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:27,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=13.15, mean=-0.4017, std=3.089, absmax=15.4 +2025-11-04 13:25:27,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=9.452, mean=-0.4068, std=2.866, absmax=13.24 +2025-11-04 13:25:28,263 ERROR: Encountered non-finite generator loss at iter 21582; skipping update. +2025-11-04 13:25:28,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:28,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.76, mean=-0.04359, std=3.262, absmax=13.16 +2025-11-04 13:25:28,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.58, mean=0.0009241, std=3.08, absmax=12.58 +2025-11-04 13:25:28,623 ERROR: Encountered non-finite generator loss at iter 21583; skipping update. +2025-11-04 13:25:28,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:28,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.93, mean=-0.1218, std=2.8, absmax=12.93 +2025-11-04 13:25:28,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.19, mean=-0.1466, std=2.597, absmax=11.65 +2025-11-04 13:25:28,983 ERROR: Encountered non-finite generator loss at iter 21584; skipping update. +2025-11-04 13:25:28,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:28,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:28,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.89, mean=-0.0003253, std=3.325, absmax=13.89 +2025-11-04 13:25:28,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.31, mean=0.003131, std=3.018, absmax=12.31 +2025-11-04 13:25:29,343 ERROR: Encountered non-finite generator loss at iter 21585; skipping update. +2025-11-04 13:25:29,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:29,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:29,345 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:29,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:29,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=17.71, mean=-0.283, std=2.669, absmax=17.71 +2025-11-04 13:25:29,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=14.31, mean=-0.2954, std=2.498, absmax=14.31 +2025-11-04 13:25:29,702 ERROR: Encountered non-finite generator loss at iter 21586; skipping update. +2025-11-04 13:25:29,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:29,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:29,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:29,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:29,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.95, mean=-0.2628, std=2.727, absmax=11.95 +2025-11-04 13:25:29,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.51, mean=-0.2708, std=2.626, absmax=11.14 +2025-11-04 13:25:30,062 ERROR: Encountered non-finite generator loss at iter 21587; skipping update. +2025-11-04 13:25:30,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,065 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:30,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=11.83, mean=-0.2303, std=2.661, absmax=13.12 +2025-11-04 13:25:30,066 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=10.28, mean=-0.2328, std=2.518, absmax=11.72 +2025-11-04 13:25:30,423 ERROR: Encountered non-finite generator loss at iter 21588; skipping update. +2025-11-04 13:25:30,424 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,425 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,425 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:30,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.32, mean=-0.2395, std=2.809, absmax=13.08 +2025-11-04 13:25:30,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=10.08, mean=-0.199, std=2.619, absmax=11.09 +2025-11-04 13:25:30,783 ERROR: Encountered non-finite generator loss at iter 21589; skipping update. +2025-11-04 13:25:30,784 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,785 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:30,785 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:30,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=16.32, mean=0.03915, std=3.353, absmax=16.32 +2025-11-04 13:25:30,786 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.98, mean=0.0449, std=3.1, absmax=12.98 +2025-11-04 13:25:31,143 ERROR: Encountered non-finite generator loss at iter 21590; skipping update. +2025-11-04 13:25:31,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:31,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.47, mean=-0.1173, std=2.831, absmax=11.47 +2025-11-04 13:25:31,147 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=9.933, mean=-0.1207, std=2.605, absmax=11.7 +2025-11-04 13:25:31,504 ERROR: Encountered non-finite generator loss at iter 21591; skipping update. +2025-11-04 13:25:31,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:31,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=14.43, mean=0.06014, std=3.207, absmax=14.78 +2025-11-04 13:25:31,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.74, mean=0.0303, std=2.919, absmax=12.74 +2025-11-04 13:25:31,863 ERROR: Encountered non-finite generator loss at iter 21592; skipping update. +2025-11-04 13:25:31,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:31,866 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:31,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.01, mean=-0.3421, std=3.243, absmax=12.76 +2025-11-04 13:25:31,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.13, mean=-0.3078, std=3.05, absmax=11.46 +2025-11-04 13:25:32,226 ERROR: Encountered non-finite generator loss at iter 21593; skipping update. +2025-11-04 13:25:32,229 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,233 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:32,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=12.3, mean=-0.2271, std=2.917, absmax=13.78 +2025-11-04 13:25:32,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=10.47, mean=-0.1997, std=2.695, absmax=12.31 +2025-11-04 13:25:32,598 ERROR: Encountered non-finite generator loss at iter 21594; skipping update. +2025-11-04 13:25:32,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:32,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.27, mean=-0.222, std=2.691, absmax=12.27 +2025-11-04 13:25:32,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.61, mean=-0.2191, std=2.485, absmax=11.14 +2025-11-04 13:25:32,965 ERROR: Encountered non-finite generator loss at iter 21595; skipping update. +2025-11-04 13:25:32,967 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,968 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:32,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:32,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=13.17, mean=-0.2613, std=3.315, absmax=14.6 +2025-11-04 13:25:32,970 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=10.67, mean=-0.2333, std=3.017, absmax=13.02 +2025-11-04 13:25:33,329 ERROR: Encountered non-finite generator loss at iter 21596; skipping update. +2025-11-04 13:25:33,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:33,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:33,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:33,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:33,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.74, mean=-0.2556, std=2.762, absmax=13.74 +2025-11-04 13:25:33,333 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=10.26, mean=-0.2303, std=2.65, absmax=10.95 +2025-11-04 13:25:33,692 ERROR: Encountered non-finite generator loss at iter 21597; skipping update. +2025-11-04 13:25:33,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:33,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:33,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:33,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:33,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.96, mean=-0.1503, std=3.84, absmax=12.96 +2025-11-04 13:25:33,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.92, mean=-0.1915, std=3.662, absmax=12.92 +2025-11-04 13:25:34,055 ERROR: Encountered non-finite generator loss at iter 21598; skipping update. +2025-11-04 13:25:34,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,057 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:34,058 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=12.72, mean=-0.03728, std=2.907, absmax=12.72 +2025-11-04 13:25:34,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.252, max=11.71, mean=-0.009274, std=2.781, absmax=11.71 +2025-11-04 13:25:34,418 ERROR: Encountered non-finite generator loss at iter 21599; skipping update. +2025-11-04 13:25:34,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,420 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,421 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:34,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=10.07, mean=-0.1341, std=2.751, absmax=12.44 +2025-11-04 13:25:34,422 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=9.339, mean=-0.128, std=2.602, absmax=10.81 +2025-11-04 13:25:34,781 ERROR: Encountered non-finite generator loss at iter 21600; skipping update. +2025-11-04 13:25:34,781 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,782 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:34,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:34,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14, mean=-0.09661, std=2.936, absmax=14 +2025-11-04 13:25:34,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=12.95, mean=-0.05758, std=2.715, absmax=12.95 +2025-11-04 13:25:34,785 INFO: [38..][epoch: 0, step: 21,600, lr:(2.000e-04,)] [eta: 1 day, 6:49:21, time (data): 0.361 (0.000)] +2025-11-04 13:25:35,144 ERROR: Encountered non-finite generator loss at iter 21601; skipping update. +2025-11-04 13:25:35,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,147 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:35,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=14.53, mean=-0.1152, std=3.377, absmax=14.53 +2025-11-04 13:25:35,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=13.93, mean=-0.08969, std=3.139, absmax=13.93 +2025-11-04 13:25:35,507 ERROR: Encountered non-finite generator loss at iter 21602; skipping update. +2025-11-04 13:25:35,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:35,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.69, max=14.13, mean=0.04888, std=3.202, absmax=19.69 +2025-11-04 13:25:35,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.64, max=11.16, mean=0.03108, std=2.872, absmax=16.64 +2025-11-04 13:25:35,872 ERROR: Encountered non-finite generator loss at iter 21603; skipping update. +2025-11-04 13:25:35,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:35,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:35,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=14.72, mean=-0.09312, std=2.989, absmax=14.72 +2025-11-04 13:25:35,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=14.24, mean=-0.07402, std=2.74, absmax=14.24 +2025-11-04 13:25:36,235 ERROR: Encountered non-finite generator loss at iter 21604; skipping update. +2025-11-04 13:25:36,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:36,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=10.12, mean=-0.2044, std=2.349, absmax=10.97 +2025-11-04 13:25:36,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.798, max=9.754, mean=-0.1737, std=2.234, absmax=9.798 +2025-11-04 13:25:36,595 ERROR: Encountered non-finite generator loss at iter 21605; skipping update. +2025-11-04 13:25:36,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:36,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=16.43, mean=-0.07705, std=2.531, absmax=16.43 +2025-11-04 13:25:36,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=14.89, mean=-0.0644, std=2.412, absmax=14.89 +2025-11-04 13:25:36,958 ERROR: Encountered non-finite generator loss at iter 21606; skipping update. +2025-11-04 13:25:36,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:36,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:36,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.7, mean=-0.08851, std=3.305, absmax=13.98 +2025-11-04 13:25:36,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=11.46, mean=-0.07571, std=3.047, absmax=12.7 +2025-11-04 13:25:37,321 ERROR: Encountered non-finite generator loss at iter 21607; skipping update. +2025-11-04 13:25:37,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:37,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:37,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:37,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:37,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15, mean=-0.1542, std=2.728, absmax=15 +2025-11-04 13:25:37,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=13.06, mean=-0.1218, std=2.6, absmax=13.06 +2025-11-04 13:25:37,682 ERROR: Encountered non-finite generator loss at iter 21608; skipping update. +2025-11-04 13:25:37,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:37,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:37,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:37,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:37,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.62, mean=-0.2306, std=2.549, absmax=12.62 +2025-11-04 13:25:37,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.55, mean=-0.2141, std=2.371, absmax=11.26 +2025-11-04 13:25:38,042 ERROR: Encountered non-finite generator loss at iter 21609; skipping update. +2025-11-04 13:25:38,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,046 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,046 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:38,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.37, mean=-0.2047, std=2.869, absmax=13.81 +2025-11-04 13:25:38,047 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.85, mean=-0.2392, std=2.674, absmax=13.03 +2025-11-04 13:25:38,405 ERROR: Encountered non-finite generator loss at iter 21610; skipping update. +2025-11-04 13:25:38,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:38,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=10.5, mean=-0.131, std=2.402, absmax=13.42 +2025-11-04 13:25:38,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=9.212, mean=-0.1512, std=2.292, absmax=11.54 +2025-11-04 13:25:38,765 ERROR: Encountered non-finite generator loss at iter 21611; skipping update. +2025-11-04 13:25:38,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,767 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:38,768 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:38,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.68, mean=0.00701, std=3.612, absmax=13.68 +2025-11-04 13:25:38,769 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.49, mean=-0.01705, std=3.295, absmax=12.49 +2025-11-04 13:25:39,125 ERROR: Encountered non-finite generator loss at iter 21612; skipping update. +2025-11-04 13:25:39,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,127 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:39,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.6, max=11.02, mean=-0.1612, std=2.188, absmax=11.02 +2025-11-04 13:25:39,128 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=10.75, mean=-0.1825, std=2.081, absmax=10.75 +2025-11-04 13:25:39,485 ERROR: Encountered non-finite generator loss at iter 21613; skipping update. +2025-11-04 13:25:39,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:39,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.51, mean=-0.1617, std=3.023, absmax=13.51 +2025-11-04 13:25:39,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=13.06, mean=-0.1828, std=2.859, absmax=13.06 +2025-11-04 13:25:39,845 ERROR: Encountered non-finite generator loss at iter 21614; skipping update. +2025-11-04 13:25:39,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:39,848 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:39,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.74, mean=-0.1271, std=2.809, absmax=12.74 +2025-11-04 13:25:39,849 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=11.66, mean=-0.08958, std=2.551, absmax=11.98 +2025-11-04 13:25:40,205 ERROR: Encountered non-finite generator loss at iter 21615; skipping update. +2025-11-04 13:25:40,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,207 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:40,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=10.9, mean=-0.248, std=2.152, absmax=11.05 +2025-11-04 13:25:40,208 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=10.69, mean=-0.2109, std=2.191, absmax=11.01 +2025-11-04 13:25:40,565 ERROR: Encountered non-finite generator loss at iter 21616; skipping update. +2025-11-04 13:25:40,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:40,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.69, mean=-0.3088, std=3.115, absmax=14 +2025-11-04 13:25:40,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=10.13, mean=-0.2586, std=2.97, absmax=13.34 +2025-11-04 13:25:40,925 ERROR: Encountered non-finite generator loss at iter 21617; skipping update. +2025-11-04 13:25:40,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:40,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:40,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.44, max=11.43, mean=-0.2051, std=2.412, absmax=11.43 +2025-11-04 13:25:40,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.573, max=11.32, mean=-0.1883, std=2.253, absmax=11.32 +2025-11-04 13:25:41,285 ERROR: Encountered non-finite generator loss at iter 21618; skipping update. +2025-11-04 13:25:41,287 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:41,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:41,288 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:41,288 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:41,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=14.52, mean=-0.1837, std=3.154, absmax=14.52 +2025-11-04 13:25:41,290 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=11.37, mean=-0.1933, std=2.856, absmax=11.48 +2025-11-04 13:25:41,650 ERROR: Encountered non-finite generator loss at iter 21619; skipping update. +2025-11-04 13:25:41,652 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:41,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:41,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:41,653 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:41,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.69, mean=0.04172, std=3.007, absmax=13.69 +2025-11-04 13:25:41,654 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.68, mean=0.03533, std=2.783, absmax=12.68 +2025-11-04 13:25:42,012 ERROR: Encountered non-finite generator loss at iter 21620; skipping update. +2025-11-04 13:25:42,014 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,015 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,015 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:42,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=11.84, mean=-0.04439, std=2.475, absmax=13.43 +2025-11-04 13:25:42,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=10.56, mean=-0.01441, std=2.322, absmax=10.86 +2025-11-04 13:25:42,375 ERROR: Encountered non-finite generator loss at iter 21621; skipping update. +2025-11-04 13:25:42,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:42,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.87, mean=0.1098, std=3.241, absmax=13.87 +2025-11-04 13:25:42,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.88, mean=0.1083, std=2.997, absmax=12.88 +2025-11-04 13:25:42,737 ERROR: Encountered non-finite generator loss at iter 21622; skipping update. +2025-11-04 13:25:42,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:42,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:42,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.22, mean=-0.216, std=2.475, absmax=11.87 +2025-11-04 13:25:42,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=9.174, mean=-0.2013, std=2.371, absmax=10.75 +2025-11-04 13:25:43,097 ERROR: Encountered non-finite generator loss at iter 21623; skipping update. +2025-11-04 13:25:43,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:43,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.65, mean=-0.224, std=2.719, absmax=13.65 +2025-11-04 13:25:43,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=11.87, mean=-0.2006, std=2.515, absmax=12.85 +2025-11-04 13:25:43,457 ERROR: Encountered non-finite generator loss at iter 21624; skipping update. +2025-11-04 13:25:43,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:43,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.13, mean=-0.1012, std=3.138, absmax=13.13 +2025-11-04 13:25:43,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=11.7, mean=-0.09578, std=2.827, absmax=12.73 +2025-11-04 13:25:43,818 ERROR: Encountered non-finite generator loss at iter 21625; skipping update. +2025-11-04 13:25:43,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:43,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:43,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.46, mean=-0.1852, std=2.9, absmax=13.46 +2025-11-04 13:25:43,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=13.31, mean=-0.1786, std=2.755, absmax=13.31 +2025-11-04 13:25:44,178 ERROR: Encountered non-finite generator loss at iter 21626; skipping update. +2025-11-04 13:25:44,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:44,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.58, mean=-0.05508, std=3.059, absmax=13.87 +2025-11-04 13:25:44,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.76, mean=-0.04542, std=2.801, absmax=12.76 +2025-11-04 13:25:44,538 ERROR: Encountered non-finite generator loss at iter 21627; skipping update. +2025-11-04 13:25:44,538 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:44,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.48, mean=-0.2274, std=3.107, absmax=12.5 +2025-11-04 13:25:44,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=13.24, mean=-0.2221, std=2.899, absmax=13.24 +2025-11-04 13:25:44,898 ERROR: Encountered non-finite generator loss at iter 21628; skipping update. +2025-11-04 13:25:44,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:44,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:44,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.13, mean=0.05183, std=3.347, absmax=15.13 +2025-11-04 13:25:44,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=13.89, mean=0.02835, std=3.175, absmax=13.89 +2025-11-04 13:25:45,257 ERROR: Encountered non-finite generator loss at iter 21629; skipping update. +2025-11-04 13:25:45,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:45,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=17.99, mean=-0.03515, std=3.505, absmax=17.99 +2025-11-04 13:25:45,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=16.91, mean=0.01921, std=3.17, absmax=16.91 +2025-11-04 13:25:45,617 ERROR: Encountered non-finite generator loss at iter 21630; skipping update. +2025-11-04 13:25:45,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:45,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.67, max=13.67, mean=-0.2402, std=3.009, absmax=15.67 +2025-11-04 13:25:45,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=12.43, mean=-0.2113, std=2.844, absmax=12.43 +2025-11-04 13:25:45,977 ERROR: Encountered non-finite generator loss at iter 21631; skipping update. +2025-11-04 13:25:45,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:45,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:45,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=12.81, mean=-0.2629, std=3.435, absmax=14.41 +2025-11-04 13:25:45,981 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.51, max=12.14, mean=-0.2413, std=3.22, absmax=13.51 +2025-11-04 13:25:46,338 ERROR: Encountered non-finite generator loss at iter 21632; skipping update. +2025-11-04 13:25:46,339 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:46,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:46,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:46,340 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:46,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=10.17, mean=-0.1843, std=2.918, absmax=12.78 +2025-11-04 13:25:46,341 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.59, mean=-0.2013, std=2.884, absmax=11.91 +2025-11-04 13:25:46,698 ERROR: Encountered non-finite generator loss at iter 21633; skipping update. +2025-11-04 13:25:46,699 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:46,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:46,700 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:46,700 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:46,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=21.59, mean=0.1009, std=3.126, absmax=21.59 +2025-11-04 13:25:46,702 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=19.95, mean=0.135, std=2.917, absmax=19.95 +2025-11-04 13:25:47,058 ERROR: Encountered non-finite generator loss at iter 21634; skipping update. +2025-11-04 13:25:47,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:47,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.57, max=13.27, mean=-0.2032, std=2.769, absmax=16.57 +2025-11-04 13:25:47,062 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.65, max=12.57, mean=-0.2036, std=2.662, absmax=14.65 +2025-11-04 13:25:47,418 ERROR: Encountered non-finite generator loss at iter 21635; skipping update. +2025-11-04 13:25:47,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,420 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:47,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=13.08, mean=-0.1439, std=3.025, absmax=15.09 +2025-11-04 13:25:47,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.45, max=11.52, mean=-0.1241, std=2.802, absmax=14.45 +2025-11-04 13:25:47,778 ERROR: Encountered non-finite generator loss at iter 21636; skipping update. +2025-11-04 13:25:47,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,780 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:47,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:47,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=11.09, mean=-0.3192, std=2.929, absmax=13.47 +2025-11-04 13:25:47,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=9.444, mean=-0.2826, std=2.791, absmax=12.79 +2025-11-04 13:25:48,138 ERROR: Encountered non-finite generator loss at iter 21637; skipping update. +2025-11-04 13:25:48,139 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,140 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:48,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.41, mean=-0.351, std=3.087, absmax=13.41 +2025-11-04 13:25:48,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=11.53, mean=-0.2942, std=2.944, absmax=12.2 +2025-11-04 13:25:48,497 ERROR: Encountered non-finite generator loss at iter 21638; skipping update. +2025-11-04 13:25:48,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:48,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.72, mean=-0.2639, std=2.899, absmax=14.72 +2025-11-04 13:25:48,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=11.85, mean=-0.2262, std=2.624, absmax=11.94 +2025-11-04 13:25:48,857 ERROR: Encountered non-finite generator loss at iter 21639; skipping update. +2025-11-04 13:25:48,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:48,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:48,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=10.69, mean=-0.127, std=2.537, absmax=12.57 +2025-11-04 13:25:48,859 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=9.928, mean=-0.1238, std=2.383, absmax=10.08 +2025-11-04 13:25:49,216 ERROR: Encountered non-finite generator loss at iter 21640; skipping update. +2025-11-04 13:25:49,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:49,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.48, mean=-0.2541, std=3.29, absmax=14.48 +2025-11-04 13:25:49,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=13.02, mean=-0.2795, std=3.146, absmax=13.02 +2025-11-04 13:25:49,576 ERROR: Encountered non-finite generator loss at iter 21641; skipping update. +2025-11-04 13:25:49,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:49,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.32, mean=-0.1825, std=2.738, absmax=14.32 +2025-11-04 13:25:49,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=11.65, mean=-0.1898, std=2.496, absmax=11.65 +2025-11-04 13:25:49,935 ERROR: Encountered non-finite generator loss at iter 21642; skipping update. +2025-11-04 13:25:49,936 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:49,937 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:49,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.74, mean=-0.2852, std=3.114, absmax=13.74 +2025-11-04 13:25:49,938 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.2, mean=-0.3046, std=2.862, absmax=12.2 +2025-11-04 13:25:50,296 ERROR: Encountered non-finite generator loss at iter 21643; skipping update. +2025-11-04 13:25:50,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:50,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:50,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:50,297 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:50,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.33, mean=-0.2293, std=2.884, absmax=12.58 +2025-11-04 13:25:50,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=10.32, mean=-0.218, std=2.795, absmax=12.07 +2025-11-04 13:25:50,655 ERROR: Encountered non-finite generator loss at iter 21644; skipping update. +2025-11-04 13:25:50,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:50,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:50,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:50,657 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:50,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=16.62, mean=-0.1968, std=3.241, absmax=16.62 +2025-11-04 13:25:50,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=13.21, mean=-0.2009, std=2.934, absmax=13.21 +2025-11-04 13:25:51,016 ERROR: Encountered non-finite generator loss at iter 21645; skipping update. +2025-11-04 13:25:51,016 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,017 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:51,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.55, mean=-0.1376, std=2.877, absmax=13.22 +2025-11-04 13:25:51,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=9.357, mean=-0.1195, std=2.627, absmax=10.99 +2025-11-04 13:25:51,375 ERROR: Encountered non-finite generator loss at iter 21646; skipping update. +2025-11-04 13:25:51,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:51,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.71, mean=-0.05783, std=3.647, absmax=13.71 +2025-11-04 13:25:51,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=13.39, mean=-0.03201, std=3.468, absmax=13.39 +2025-11-04 13:25:51,736 ERROR: Encountered non-finite generator loss at iter 21647; skipping update. +2025-11-04 13:25:51,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:51,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:51,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=17.04, mean=-0.05369, std=3.498, absmax=17.04 +2025-11-04 13:25:51,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=15.63, mean=-0.09796, std=3.257, absmax=15.63 +2025-11-04 13:25:52,096 ERROR: Encountered non-finite generator loss at iter 21648; skipping update. +2025-11-04 13:25:52,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:52,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.48, mean=-0.1148, std=3.171, absmax=14.48 +2025-11-04 13:25:52,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=13.71, mean=-0.1675, std=2.877, absmax=13.71 +2025-11-04 13:25:52,456 ERROR: Encountered non-finite generator loss at iter 21649; skipping update. +2025-11-04 13:25:52,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:52,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.75, mean=-0.02794, std=3.077, absmax=12.75 +2025-11-04 13:25:52,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.56, mean=-0.03614, std=2.859, absmax=12.07 +2025-11-04 13:25:52,816 ERROR: Encountered non-finite generator loss at iter 21650; skipping update. +2025-11-04 13:25:52,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:52,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:52,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=12.73, mean=-0.3327, std=2.852, absmax=14.13 +2025-11-04 13:25:52,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.93, mean=-0.3119, std=2.625, absmax=11.93 +2025-11-04 13:25:53,193 ERROR: Encountered non-finite generator loss at iter 21651; skipping update. +2025-11-04 13:25:53,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:53,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.24, max=12.9, mean=-0.01973, std=3.099, absmax=15.24 +2025-11-04 13:25:53,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.89, mean=-0.005831, std=2.885, absmax=11.89 +2025-11-04 13:25:53,554 ERROR: Encountered non-finite generator loss at iter 21652; skipping update. +2025-11-04 13:25:53,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:53,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.91, mean=-0.214, std=2.87, absmax=13.91 +2025-11-04 13:25:53,557 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=12.45, mean=-0.1963, std=2.636, absmax=12.45 +2025-11-04 13:25:53,915 ERROR: Encountered non-finite generator loss at iter 21653; skipping update. +2025-11-04 13:25:53,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:53,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:53,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.2, mean=-0.2345, std=2.759, absmax=12.2 +2025-11-04 13:25:53,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=12.53, mean=-0.2995, std=2.527, absmax=12.53 +2025-11-04 13:25:54,275 ERROR: Encountered non-finite generator loss at iter 21654; skipping update. +2025-11-04 13:25:54,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:54,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=15.97, mean=-0.06994, std=4.12, absmax=15.97 +2025-11-04 13:25:54,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.63, max=14.48, mean=-0.08175, std=3.84, absmax=14.48 +2025-11-04 13:25:54,636 ERROR: Encountered non-finite generator loss at iter 21655; skipping update. +2025-11-04 13:25:54,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:54,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=14.61, mean=-0.2885, std=2.532, absmax=14.61 +2025-11-04 13:25:54,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.963, max=10.59, mean=-0.281, std=2.37, absmax=10.59 +2025-11-04 13:25:54,996 ERROR: Encountered non-finite generator loss at iter 21656; skipping update. +2025-11-04 13:25:54,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:54,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:54,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.75, mean=-0.2067, std=3.006, absmax=13.27 +2025-11-04 13:25:54,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=11.27, mean=-0.1951, std=2.849, absmax=12.53 +2025-11-04 13:25:55,356 ERROR: Encountered non-finite generator loss at iter 21657; skipping update. +2025-11-04 13:25:55,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:55,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:55,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:55,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:55,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.53, mean=-0.2043, std=2.652, absmax=11.97 +2025-11-04 13:25:55,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=10.97, mean=-0.1876, std=2.443, absmax=10.97 +2025-11-04 13:25:55,716 ERROR: Encountered non-finite generator loss at iter 21658; skipping update. +2025-11-04 13:25:55,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:55,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:55,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:55,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:55,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=12.36, mean=-0.3058, std=3.254, absmax=15.49 +2025-11-04 13:25:55,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.52, max=10.34, mean=-0.2892, std=3.032, absmax=13.52 +2025-11-04 13:25:56,077 ERROR: Encountered non-finite generator loss at iter 21659; skipping update. +2025-11-04 13:25:56,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:56,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.34, mean=-0.007735, std=3.369, absmax=13.34 +2025-11-04 13:25:56,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=13.54, mean=0.01289, std=3.153, absmax=13.54 +2025-11-04 13:25:56,437 ERROR: Encountered non-finite generator loss at iter 21660; skipping update. +2025-11-04 13:25:56,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:56,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=16.12, mean=0.03356, std=3.517, absmax=16.12 +2025-11-04 13:25:56,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=14.7, mean=-0.001924, std=3.244, absmax=14.7 +2025-11-04 13:25:56,798 ERROR: Encountered non-finite generator loss at iter 21661; skipping update. +2025-11-04 13:25:56,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:56,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:56,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=9.777, mean=-0.2527, std=2.187, absmax=11.33 +2025-11-04 13:25:56,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.914, max=7.742, mean=-0.2141, std=2.054, absmax=8.914 +2025-11-04 13:25:57,159 ERROR: Encountered non-finite generator loss at iter 21662; skipping update. +2025-11-04 13:25:57,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:57,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=10.65, mean=-0.2785, std=2.93, absmax=13.95 +2025-11-04 13:25:57,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=10.03, mean=-0.2413, std=2.757, absmax=12.98 +2025-11-04 13:25:57,519 ERROR: Encountered non-finite generator loss at iter 21663; skipping update. +2025-11-04 13:25:57,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:57,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=14.32, mean=-0.05789, std=3.052, absmax=14.32 +2025-11-04 13:25:57,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=12.06, mean=-0.04285, std=2.8, absmax=12.06 +2025-11-04 13:25:57,879 ERROR: Encountered non-finite generator loss at iter 21664; skipping update. +2025-11-04 13:25:57,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:57,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:57,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.28, mean=-0.02396, std=3.088, absmax=14.28 +2025-11-04 13:25:57,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=11.37, mean=-0.04093, std=2.776, absmax=12.29 +2025-11-04 13:25:58,239 ERROR: Encountered non-finite generator loss at iter 21665; skipping update. +2025-11-04 13:25:58,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:58,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.3, mean=-0.07718, std=2.84, absmax=13.3 +2025-11-04 13:25:58,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=11.71, mean=-0.1116, std=2.68, absmax=13.31 +2025-11-04 13:25:58,600 ERROR: Encountered non-finite generator loss at iter 21666; skipping update. +2025-11-04 13:25:58,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:58,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=10.88, mean=-0.2386, std=2.798, absmax=11.54 +2025-11-04 13:25:58,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.575, max=11.09, mean=-0.1796, std=2.63, absmax=11.09 +2025-11-04 13:25:58,960 ERROR: Encountered non-finite generator loss at iter 21667; skipping update. +2025-11-04 13:25:58,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:58,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:58,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.09, mean=-0.3371, std=3.142, absmax=12.21 +2025-11-04 13:25:58,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.78, mean=-0.3263, std=2.973, absmax=10.83 +2025-11-04 13:25:59,320 ERROR: Encountered non-finite generator loss at iter 21668; skipping update. +2025-11-04 13:25:59,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:59,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:59,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:59,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:59,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=13.1, mean=-0.2146, std=3.069, absmax=15.06 +2025-11-04 13:25:59,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=11.46, mean=-0.1979, std=2.849, absmax=12.86 +2025-11-04 13:25:59,680 ERROR: Encountered non-finite generator loss at iter 21669; skipping update. +2025-11-04 13:25:59,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:59,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:25:59,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:25:59,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:25:59,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=10.83, mean=-0.1848, std=2.609, absmax=13.34 +2025-11-04 13:25:59,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=9.789, mean=-0.177, std=2.367, absmax=12.01 +2025-11-04 13:26:00,041 ERROR: Encountered non-finite generator loss at iter 21670; skipping update. +2025-11-04 13:26:00,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:00,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.83, mean=-0.1997, std=3.184, absmax=13.11 +2025-11-04 13:26:00,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.79, mean=-0.221, std=2.92, absmax=11.79 +2025-11-04 13:26:00,401 ERROR: Encountered non-finite generator loss at iter 21671; skipping update. +2025-11-04 13:26:00,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,403 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:00,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.81, mean=-0.2733, std=2.995, absmax=14.04 +2025-11-04 13:26:00,404 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=11.67, mean=-0.2265, std=2.854, absmax=12.86 +2025-11-04 13:26:00,761 ERROR: Encountered non-finite generator loss at iter 21672; skipping update. +2025-11-04 13:26:00,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:00,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:00,764 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=15.08, mean=-0.02464, std=3.357, absmax=15.08 +2025-11-04 13:26:00,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.7, mean=-0.0327, std=3.197, absmax=12.7 +2025-11-04 13:26:01,122 ERROR: Encountered non-finite generator loss at iter 21673; skipping update. +2025-11-04 13:26:01,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:01,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=15.97, mean=-0.1325, std=3.274, absmax=15.97 +2025-11-04 13:26:01,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=13.9, mean=-0.1454, std=3.056, absmax=13.9 +2025-11-04 13:26:01,482 ERROR: Encountered non-finite generator loss at iter 21674; skipping update. +2025-11-04 13:26:01,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,484 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:01,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.52, mean=-0.1124, std=2.944, absmax=12.62 +2025-11-04 13:26:01,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.29, mean=-0.1471, std=2.908, absmax=12.29 +2025-11-04 13:26:01,843 ERROR: Encountered non-finite generator loss at iter 21675; skipping update. +2025-11-04 13:26:01,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:01,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:01,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.87, max=12, mean=-0.3608, std=3.549, absmax=15.87 +2025-11-04 13:26:01,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.6, max=11.43, mean=-0.3213, std=3.328, absmax=14.6 +2025-11-04 13:26:02,204 ERROR: Encountered non-finite generator loss at iter 21676; skipping update. +2025-11-04 13:26:02,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:02,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.14, mean=-0.1534, std=3.007, absmax=15.14 +2025-11-04 13:26:02,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=13.62, mean=-0.157, std=2.73, absmax=13.62 +2025-11-04 13:26:02,563 ERROR: Encountered non-finite generator loss at iter 21677; skipping update. +2025-11-04 13:26:02,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:02,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.77, mean=0.01562, std=3.563, absmax=13.77 +2025-11-04 13:26:02,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.53, mean=0.01691, std=3.353, absmax=12.53 +2025-11-04 13:26:02,925 ERROR: Encountered non-finite generator loss at iter 21678; skipping update. +2025-11-04 13:26:02,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:02,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:02,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.95, mean=-0.148, std=2.759, absmax=13.95 +2025-11-04 13:26:02,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=12.22, mean=-0.1091, std=2.587, absmax=12.22 +2025-11-04 13:26:03,285 ERROR: Encountered non-finite generator loss at iter 21679; skipping update. +2025-11-04 13:26:03,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:03,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:03,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:03,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:03,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=12.94, mean=-0.05942, std=3.301, absmax=13.95 +2025-11-04 13:26:03,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=12.13, mean=-0.0393, std=3.01, absmax=12.13 +2025-11-04 13:26:03,645 ERROR: Encountered non-finite generator loss at iter 21680; skipping update. +2025-11-04 13:26:03,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:03,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:03,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:03,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:03,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.87, mean=-0.1804, std=3.5, absmax=13.81 +2025-11-04 13:26:03,649 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=10.73, mean=-0.1461, std=3.176, absmax=13.09 +2025-11-04 13:26:04,005 ERROR: Encountered non-finite generator loss at iter 21681; skipping update. +2025-11-04 13:26:04,007 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,008 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,008 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:04,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=10.4, mean=-0.3342, std=2.653, absmax=12.39 +2025-11-04 13:26:04,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=9.206, mean=-0.3019, std=2.5, absmax=11.59 +2025-11-04 13:26:04,366 ERROR: Encountered non-finite generator loss at iter 21682; skipping update. +2025-11-04 13:26:04,367 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:04,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=14.23, mean=-0.1847, std=3.686, absmax=14.89 +2025-11-04 13:26:04,370 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=13.26, mean=-0.1394, std=3.445, absmax=13.26 +2025-11-04 13:26:04,727 ERROR: Encountered non-finite generator loss at iter 21683; skipping update. +2025-11-04 13:26:04,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:04,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:04,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.29, mean=-0.2524, std=2.71, absmax=13.29 +2025-11-04 13:26:04,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=10.71, mean=-0.2179, std=2.521, absmax=12.77 +2025-11-04 13:26:05,087 ERROR: Encountered non-finite generator loss at iter 21684; skipping update. +2025-11-04 13:26:05,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:05,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=10.4, mean=-0.283, std=2.448, absmax=11.46 +2025-11-04 13:26:05,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.35, mean=-0.3148, std=2.479, absmax=11.31 +2025-11-04 13:26:05,448 ERROR: Encountered non-finite generator loss at iter 21685; skipping update. +2025-11-04 13:26:05,450 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,451 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:05,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.81, mean=-0.00847, std=3.902, absmax=14.81 +2025-11-04 13:26:05,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.2, max=13.68, mean=-0.01159, std=3.592, absmax=13.68 +2025-11-04 13:26:05,810 ERROR: Encountered non-finite generator loss at iter 21686; skipping update. +2025-11-04 13:26:05,811 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,812 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:05,812 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:05,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.42, mean=0.004875, std=3.21, absmax=12.91 +2025-11-04 13:26:05,813 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=12.32, mean=0.05611, std=3.074, absmax=12.32 +2025-11-04 13:26:06,170 ERROR: Encountered non-finite generator loss at iter 21687; skipping update. +2025-11-04 13:26:06,171 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,172 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:06,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=16.29, mean=-0.1046, std=2.622, absmax=16.29 +2025-11-04 13:26:06,173 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=15.11, mean=-0.1225, std=2.396, absmax=15.11 +2025-11-04 13:26:06,530 ERROR: Encountered non-finite generator loss at iter 21688; skipping update. +2025-11-04 13:26:06,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,532 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,532 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:06,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=10.82, mean=-0.1347, std=2.761, absmax=12.46 +2025-11-04 13:26:06,533 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=9.639, mean=-0.1527, std=2.583, absmax=12.58 +2025-11-04 13:26:06,890 ERROR: Encountered non-finite generator loss at iter 21689; skipping update. +2025-11-04 13:26:06,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:06,892 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:06,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.67, mean=-0.2348, std=3.199, absmax=11.96 +2025-11-04 13:26:06,893 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=11.13, mean=-0.2757, std=3.137, absmax=12.67 +2025-11-04 13:26:07,249 ERROR: Encountered non-finite generator loss at iter 21690; skipping update. +2025-11-04 13:26:07,250 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,251 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,251 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:07,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=10.97, mean=-0.1129, std=2.612, absmax=11.79 +2025-11-04 13:26:07,252 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=9.036, mean=-0.1294, std=2.453, absmax=10.77 +2025-11-04 13:26:07,609 ERROR: Encountered non-finite generator loss at iter 21691; skipping update. +2025-11-04 13:26:07,610 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,611 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,612 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:07,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.5, mean=-0.2889, std=2.951, absmax=13.87 +2025-11-04 13:26:07,613 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=11.15, mean=-0.2716, std=2.669, absmax=11.15 +2025-11-04 13:26:07,969 ERROR: Encountered non-finite generator loss at iter 21692; skipping update. +2025-11-04 13:26:07,970 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:07,971 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:07,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.27, mean=-0.3013, std=2.897, absmax=12 +2025-11-04 13:26:07,972 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=11.64, mean=-0.2596, std=2.762, absmax=11.64 +2025-11-04 13:26:08,329 ERROR: Encountered non-finite generator loss at iter 21693; skipping update. +2025-11-04 13:26:08,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:08,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:08,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:08,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:08,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.31, mean=-0.1265, std=3.124, absmax=14.31 +2025-11-04 13:26:08,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.07, mean=-0.09395, std=2.939, absmax=12.15 +2025-11-04 13:26:08,689 ERROR: Encountered non-finite generator loss at iter 21694; skipping update. +2025-11-04 13:26:08,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:08,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:08,691 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:08,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:08,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=8.95, mean=-0.3147, std=2.488, absmax=12.11 +2025-11-04 13:26:08,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=8.465, mean=-0.2895, std=2.355, absmax=11.24 +2025-11-04 13:26:09,049 ERROR: Encountered non-finite generator loss at iter 21695; skipping update. +2025-11-04 13:26:09,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,051 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:09,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=15.7, mean=-0.2201, std=2.992, absmax=15.7 +2025-11-04 13:26:09,052 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=13.48, mean=-0.1996, std=2.786, absmax=13.48 +2025-11-04 13:26:09,409 ERROR: Encountered non-finite generator loss at iter 21696; skipping update. +2025-11-04 13:26:09,410 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,410 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:09,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=18.17, mean=-0.07469, std=2.872, absmax=18.17 +2025-11-04 13:26:09,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=15.69, mean=-0.05704, std=2.643, absmax=15.69 +2025-11-04 13:26:09,769 ERROR: Encountered non-finite generator loss at iter 21697; skipping update. +2025-11-04 13:26:09,770 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,771 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:09,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:09,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.76, mean=-0.0551, std=3.23, absmax=13.76 +2025-11-04 13:26:09,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=12.96, mean=-0.05565, std=2.918, absmax=12.96 +2025-11-04 13:26:10,129 ERROR: Encountered non-finite generator loss at iter 21698; skipping update. +2025-11-04 13:26:10,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,131 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,131 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:10,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.11, mean=-0.3132, std=2.764, absmax=12.52 +2025-11-04 13:26:10,132 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=10.4, mean=-0.311, std=2.639, absmax=10.47 +2025-11-04 13:26:10,488 ERROR: Encountered non-finite generator loss at iter 21699; skipping update. +2025-11-04 13:26:10,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:10,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.54, mean=0.04181, std=3.541, absmax=15.54 +2025-11-04 13:26:10,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=13.85, mean=0.03447, std=3.192, absmax=13.85 +2025-11-04 13:26:10,849 ERROR: Encountered non-finite generator loss at iter 21700; skipping update. +2025-11-04 13:26:10,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:10,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:10,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.51, mean=-0.2248, std=2.77, absmax=13.81 +2025-11-04 13:26:10,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=13.62, mean=-0.2025, std=2.473, absmax=13.62 +2025-11-04 13:26:10,853 INFO: [38..][epoch: 0, step: 21,700, lr:(2.000e-04,)] [eta: 1 day, 6:41:55, time (data): 0.361 (0.000)] +2025-11-04 13:26:11,210 ERROR: Encountered non-finite generator loss at iter 21701; skipping update. +2025-11-04 13:26:11,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,212 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:11,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.8, mean=-0.2824, std=2.973, absmax=13.56 +2025-11-04 13:26:11,213 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=12.21, mean=-0.2846, std=2.682, absmax=12.21 +2025-11-04 13:26:11,569 ERROR: Encountered non-finite generator loss at iter 21702; skipping update. +2025-11-04 13:26:11,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,570 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:11,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=14.36, mean=0.02599, std=3.295, absmax=14.36 +2025-11-04 13:26:11,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.33, mean=0.02475, std=2.974, absmax=11.33 +2025-11-04 13:26:11,928 ERROR: Encountered non-finite generator loss at iter 21703; skipping update. +2025-11-04 13:26:11,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:11,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:11,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.52, mean=0.1273, std=3.404, absmax=12.97 +2025-11-04 13:26:11,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.53, mean=0.1355, std=3.125, absmax=12.53 +2025-11-04 13:26:12,288 ERROR: Encountered non-finite generator loss at iter 21704; skipping update. +2025-11-04 13:26:12,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:12,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:12,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:12,290 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:12,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=15.83, mean=-0.2526, std=3.095, absmax=15.83 +2025-11-04 13:26:12,291 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=12.17, mean=-0.2516, std=2.751, absmax=12.17 +2025-11-04 13:26:12,648 ERROR: Encountered non-finite generator loss at iter 21705; skipping update. +2025-11-04 13:26:12,649 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:12,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:12,650 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:12,650 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:12,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=11.24, mean=-0.07932, std=2.703, absmax=12.37 +2025-11-04 13:26:12,652 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11, mean=-0.115, std=2.495, absmax=11 +2025-11-04 13:26:13,008 ERROR: Encountered non-finite generator loss at iter 21706; skipping update. +2025-11-04 13:26:13,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,010 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:13,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.05, mean=-0.2069, std=2.484, absmax=12.3 +2025-11-04 13:26:13,012 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=12.76, mean=-0.2072, std=2.402, absmax=12.76 +2025-11-04 13:26:13,368 ERROR: Encountered non-finite generator loss at iter 21707; skipping update. +2025-11-04 13:26:13,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:13,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.92, mean=-0.02747, std=3.143, absmax=13.92 +2025-11-04 13:26:13,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=13.16, mean=-0.01117, std=2.961, absmax=13.16 +2025-11-04 13:26:13,728 ERROR: Encountered non-finite generator loss at iter 21708; skipping update. +2025-11-04 13:26:13,729 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,730 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:13,731 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:13,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=14.21, mean=-0.02394, std=3.061, absmax=14.21 +2025-11-04 13:26:13,732 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.29, mean=-0.01436, std=2.815, absmax=12.29 +2025-11-04 13:26:14,088 ERROR: Encountered non-finite generator loss at iter 21709; skipping update. +2025-11-04 13:26:14,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:14,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=14.12, mean=0.1228, std=3.105, absmax=14.12 +2025-11-04 13:26:14,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=12.89, mean=0.1351, std=2.868, absmax=13.22 +2025-11-04 13:26:14,448 ERROR: Encountered non-finite generator loss at iter 21710; skipping update. +2025-11-04 13:26:14,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:14,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=14.15, mean=-0.004642, std=3.236, absmax=14.15 +2025-11-04 13:26:14,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.45, mean=0.004529, std=3.051, absmax=12.45 +2025-11-04 13:26:14,808 ERROR: Encountered non-finite generator loss at iter 21711; skipping update. +2025-11-04 13:26:14,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:14,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:14,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.77, mean=-0.1424, std=2.847, absmax=12.77 +2025-11-04 13:26:14,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.8, mean=-0.1754, std=2.656, absmax=11.8 +2025-11-04 13:26:15,168 ERROR: Encountered non-finite generator loss at iter 21712; skipping update. +2025-11-04 13:26:15,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:15,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.35, mean=-0.3444, std=2.729, absmax=12.35 +2025-11-04 13:26:15,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=9.608, mean=-0.3298, std=2.584, absmax=13.16 +2025-11-04 13:26:15,527 ERROR: Encountered non-finite generator loss at iter 21713; skipping update. +2025-11-04 13:26:15,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,530 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:15,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=11.83, mean=-0.1625, std=3.136, absmax=13.51 +2025-11-04 13:26:15,531 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.64, mean=-0.1887, std=3.029, absmax=12.29 +2025-11-04 13:26:15,888 ERROR: Encountered non-finite generator loss at iter 21714; skipping update. +2025-11-04 13:26:15,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:15,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:15,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=15.8, mean=0.03938, std=3.313, absmax=15.8 +2025-11-04 13:26:15,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=14.13, mean=0.005533, std=3.087, absmax=14.13 +2025-11-04 13:26:16,248 ERROR: Encountered non-finite generator loss at iter 21715; skipping update. +2025-11-04 13:26:16,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:16,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=13.84, mean=-0.1787, std=2.711, absmax=13.84 +2025-11-04 13:26:16,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=13.36, mean=-0.1498, std=2.595, absmax=13.36 +2025-11-04 13:26:16,608 ERROR: Encountered non-finite generator loss at iter 21716; skipping update. +2025-11-04 13:26:16,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:16,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=13.8, mean=-0.2246, std=3.495, absmax=14.59 +2025-11-04 13:26:16,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.52, max=11.83, mean=-0.2751, std=3.231, absmax=13.52 +2025-11-04 13:26:16,969 ERROR: Encountered non-finite generator loss at iter 21717; skipping update. +2025-11-04 13:26:16,970 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:16,971 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:16,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.32, max=10.78, mean=-0.2379, std=2.312, absmax=10.78 +2025-11-04 13:26:16,973 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.794, max=9.285, mean=-0.1898, std=2.187, absmax=9.285 +2025-11-04 13:26:17,332 ERROR: Encountered non-finite generator loss at iter 21718; skipping update. +2025-11-04 13:26:17,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:17,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:17,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:17,334 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:17,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.8, max=16.79, mean=-0.2491, std=2.881, absmax=16.79 +2025-11-04 13:26:17,335 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=14.85, mean=-0.2782, std=2.697, absmax=14.85 +2025-11-04 13:26:17,692 ERROR: Encountered non-finite generator loss at iter 21719; skipping update. +2025-11-04 13:26:17,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:17,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:17,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:17,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:17,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.15, mean=-0.1902, std=3.145, absmax=14.32 +2025-11-04 13:26:17,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.57, max=11.59, mean=-0.1899, std=3.031, absmax=14.57 +2025-11-04 13:26:18,052 ERROR: Encountered non-finite generator loss at iter 21720; skipping update. +2025-11-04 13:26:18,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,054 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:18,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.41, mean=0.04153, std=3.333, absmax=14.41 +2025-11-04 13:26:18,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=13.83, mean=0.06709, std=3.068, absmax=13.83 +2025-11-04 13:26:18,412 ERROR: Encountered non-finite generator loss at iter 21721; skipping update. +2025-11-04 13:26:18,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,414 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:18,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.82, mean=0.0229, std=3.237, absmax=13.82 +2025-11-04 13:26:18,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=13, mean=0.0246, std=3.052, absmax=13 +2025-11-04 13:26:18,773 ERROR: Encountered non-finite generator loss at iter 21722; skipping update. +2025-11-04 13:26:18,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:18,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:18,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.05, mean=-0.3141, std=3.024, absmax=13.5 +2025-11-04 13:26:18,777 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=9.888, mean=-0.3009, std=2.809, absmax=12.42 +2025-11-04 13:26:19,133 ERROR: Encountered non-finite generator loss at iter 21723; skipping update. +2025-11-04 13:26:19,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:19,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.94, mean=-0.2161, std=3.215, absmax=12.94 +2025-11-04 13:26:19,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=12.37, mean=-0.155, std=2.906, absmax=12.37 +2025-11-04 13:26:19,493 ERROR: Encountered non-finite generator loss at iter 21724; skipping update. +2025-11-04 13:26:19,494 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,495 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,495 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:19,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.9, mean=-0.03655, std=2.784, absmax=12.9 +2025-11-04 13:26:19,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=10.85, mean=-0.01074, std=2.617, absmax=10.85 +2025-11-04 13:26:19,854 ERROR: Encountered non-finite generator loss at iter 21725; skipping update. +2025-11-04 13:26:19,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:19,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:19,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.81, mean=0.09604, std=3.378, absmax=13.12 +2025-11-04 13:26:19,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=12.02, mean=0.07599, std=3.173, absmax=13.09 +2025-11-04 13:26:20,216 ERROR: Encountered non-finite generator loss at iter 21726; skipping update. +2025-11-04 13:26:20,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:20,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.89, mean=-0.1921, std=3.483, absmax=12.89 +2025-11-04 13:26:20,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.1, mean=-0.2199, std=3.323, absmax=12.4 +2025-11-04 13:26:20,578 ERROR: Encountered non-finite generator loss at iter 21727; skipping update. +2025-11-04 13:26:20,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,581 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:20,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.79, max=15.47, mean=-0.1261, std=2.802, absmax=15.47 +2025-11-04 13:26:20,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=13.52, mean=-0.1154, std=2.67, absmax=13.52 +2025-11-04 13:26:20,943 ERROR: Encountered non-finite generator loss at iter 21728; skipping update. +2025-11-04 13:26:20,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:20,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:20,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=12.18, mean=-0.2078, std=3.241, absmax=14.3 +2025-11-04 13:26:20,947 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=11.39, mean=-0.1619, std=2.991, absmax=12.43 +2025-11-04 13:26:21,304 ERROR: Encountered non-finite generator loss at iter 21729; skipping update. +2025-11-04 13:26:21,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:21,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:21,307 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:21,307 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:21,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.14, mean=0.006131, std=3.176, absmax=14.14 +2025-11-04 13:26:21,308 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=14.38, mean=0.002379, std=3.036, absmax=14.38 +2025-11-04 13:26:21,665 ERROR: Encountered non-finite generator loss at iter 21730; skipping update. +2025-11-04 13:26:21,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:21,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:21,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:21,667 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:21,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.42, mean=-0.175, std=3.073, absmax=12.87 +2025-11-04 13:26:21,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=11.13, mean=-0.1882, std=2.889, absmax=12.66 +2025-11-04 13:26:22,025 ERROR: Encountered non-finite generator loss at iter 21731; skipping update. +2025-11-04 13:26:22,026 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,027 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:22,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.3, max=14.15, mean=-0.1326, std=3.519, absmax=16.3 +2025-11-04 13:26:22,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=13.7, mean=-0.1082, std=3.306, absmax=13.7 +2025-11-04 13:26:22,384 ERROR: Encountered non-finite generator loss at iter 21732; skipping update. +2025-11-04 13:26:22,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:22,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.36, mean=-0.245, std=3.089, absmax=13.36 +2025-11-04 13:26:22,388 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=12, mean=-0.2108, std=2.927, absmax=12.32 +2025-11-04 13:26:22,743 ERROR: Encountered non-finite generator loss at iter 21733; skipping update. +2025-11-04 13:26:22,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:22,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:22,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=15.21, mean=-0.3467, std=3.642, absmax=15.21 +2025-11-04 13:26:22,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=14.31, mean=-0.3586, std=3.387, absmax=14.31 +2025-11-04 13:26:23,103 ERROR: Encountered non-finite generator loss at iter 21734; skipping update. +2025-11-04 13:26:23,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:23,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=14.15, mean=0.07383, std=3.661, absmax=14.15 +2025-11-04 13:26:23,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=13.29, mean=0.09163, std=3.389, absmax=13.29 +2025-11-04 13:26:23,463 ERROR: Encountered non-finite generator loss at iter 21735; skipping update. +2025-11-04 13:26:23,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,464 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:23,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.55, mean=-0.1629, std=2.774, absmax=14.55 +2025-11-04 13:26:23,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=12.81, mean=-0.1461, std=2.612, absmax=12.81 +2025-11-04 13:26:23,823 ERROR: Encountered non-finite generator loss at iter 21736; skipping update. +2025-11-04 13:26:23,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:23,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:23,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=12.05, mean=-0.2718, std=2.893, absmax=12.05 +2025-11-04 13:26:23,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=11.19, mean=-0.2477, std=2.682, absmax=11.19 +2025-11-04 13:26:24,183 ERROR: Encountered non-finite generator loss at iter 21737; skipping update. +2025-11-04 13:26:24,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:24,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.46, mean=-0.12, std=2.875, absmax=12.85 +2025-11-04 13:26:24,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=10.63, mean=-0.08572, std=2.635, absmax=12.85 +2025-11-04 13:26:24,543 ERROR: Encountered non-finite generator loss at iter 21738; skipping update. +2025-11-04 13:26:24,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:24,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=16.41, mean=-0.08973, std=3.031, absmax=16.41 +2025-11-04 13:26:24,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=14.04, mean=-0.1115, std=2.843, absmax=14.04 +2025-11-04 13:26:24,903 ERROR: Encountered non-finite generator loss at iter 21739; skipping update. +2025-11-04 13:26:24,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:24,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:24,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.22, mean=-0.1236, std=2.832, absmax=13.22 +2025-11-04 13:26:24,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.29, mean=-0.1213, std=2.61, absmax=11.29 +2025-11-04 13:26:25,264 ERROR: Encountered non-finite generator loss at iter 21740; skipping update. +2025-11-04 13:26:25,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:25,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=16.34, mean=-0.08542, std=2.924, absmax=16.34 +2025-11-04 13:26:25,267 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=12.21, mean=-0.04987, std=2.721, absmax=12.21 +2025-11-04 13:26:25,624 ERROR: Encountered non-finite generator loss at iter 21741; skipping update. +2025-11-04 13:26:25,625 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,626 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,626 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:25,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=10.21, mean=-0.4144, std=3.297, absmax=14.27 +2025-11-04 13:26:25,627 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.21, max=10.02, mean=-0.3926, std=3.148, absmax=13.21 +2025-11-04 13:26:25,983 ERROR: Encountered non-finite generator loss at iter 21742; skipping update. +2025-11-04 13:26:25,985 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:25,986 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:25,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.52, max=13.96, mean=-0.09846, std=3.747, absmax=16.52 +2025-11-04 13:26:25,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.62, max=12.2, mean=-0.07315, std=3.429, absmax=14.62 +2025-11-04 13:26:26,344 ERROR: Encountered non-finite generator loss at iter 21743; skipping update. +2025-11-04 13:26:26,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:26,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:26,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:26,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:26,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.42, mean=-0.2256, std=2.747, absmax=12.83 +2025-11-04 13:26:26,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.55, mean=-0.242, std=2.573, absmax=11.34 +2025-11-04 13:26:26,704 ERROR: Encountered non-finite generator loss at iter 21744; skipping update. +2025-11-04 13:26:26,705 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:26,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:26,706 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:26,706 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:26,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.99, mean=-0.1689, std=2.807, absmax=12.13 +2025-11-04 13:26:26,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.99, mean=-0.1649, std=2.492, absmax=11.68 +2025-11-04 13:26:27,063 ERROR: Encountered non-finite generator loss at iter 21745; skipping update. +2025-11-04 13:26:27,065 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:27,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.61, mean=-0.08432, std=3.221, absmax=13.65 +2025-11-04 13:26:27,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.17, mean=-0.04078, std=3.02, absmax=11.22 +2025-11-04 13:26:27,423 ERROR: Encountered non-finite generator loss at iter 21746; skipping update. +2025-11-04 13:26:27,424 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,425 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:27,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.29, mean=-0.1799, std=2.985, absmax=13.29 +2025-11-04 13:26:27,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=11.91, mean=-0.1505, std=2.81, absmax=11.91 +2025-11-04 13:26:27,784 ERROR: Encountered non-finite generator loss at iter 21747; skipping update. +2025-11-04 13:26:27,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:27,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:27,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=12.38, mean=-0.1208, std=2.995, absmax=14.12 +2025-11-04 13:26:27,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.1, mean=-0.1346, std=2.83, absmax=11.89 +2025-11-04 13:26:28,143 ERROR: Encountered non-finite generator loss at iter 21748; skipping update. +2025-11-04 13:26:28,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,145 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:28,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.69, mean=-0.3394, std=2.807, absmax=12.97 +2025-11-04 13:26:28,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=10.61, mean=-0.3398, std=2.729, absmax=11.43 +2025-11-04 13:26:28,504 ERROR: Encountered non-finite generator loss at iter 21749; skipping update. +2025-11-04 13:26:28,506 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,507 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:28,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.22, mean=-0.2037, std=3.122, absmax=13.22 +2025-11-04 13:26:28,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=11.47, mean=-0.1343, std=2.858, absmax=12.79 +2025-11-04 13:26:28,869 ERROR: Encountered non-finite generator loss at iter 21750; skipping update. +2025-11-04 13:26:28,870 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,871 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:28,872 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:28,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.56, mean=-0.2196, std=2.627, absmax=11.74 +2025-11-04 13:26:28,873 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=10.04, mean=-0.1939, std=2.483, absmax=10.91 +2025-11-04 13:26:29,231 ERROR: Encountered non-finite generator loss at iter 21751; skipping update. +2025-11-04 13:26:29,232 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:29,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=12.96, mean=0.0009313, std=3.081, absmax=14.74 +2025-11-04 13:26:29,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.68, mean=0.05812, std=3.069, absmax=12.68 +2025-11-04 13:26:29,595 ERROR: Encountered non-finite generator loss at iter 21752; skipping update. +2025-11-04 13:26:29,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:29,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=10.89, mean=-0.3386, std=3.14, absmax=12.9 +2025-11-04 13:26:29,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=9.733, mean=-0.2833, std=2.903, absmax=11.85 +2025-11-04 13:26:29,957 ERROR: Encountered non-finite generator loss at iter 21753; skipping update. +2025-11-04 13:26:29,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:29,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:29,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.66, mean=-0.1224, std=2.748, absmax=13.66 +2025-11-04 13:26:29,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=11.55, mean=-0.1219, std=2.576, absmax=11.55 +2025-11-04 13:26:30,320 ERROR: Encountered non-finite generator loss at iter 21754; skipping update. +2025-11-04 13:26:30,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:30,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:30,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:30,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:30,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.05, max=12.6, mean=-0.1292, std=2.957, absmax=16.05 +2025-11-04 13:26:30,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.72, mean=-0.08344, std=2.776, absmax=11.72 +2025-11-04 13:26:30,683 ERROR: Encountered non-finite generator loss at iter 21755; skipping update. +2025-11-04 13:26:30,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:30,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:30,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:30,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:30,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.19, mean=-0.1739, std=2.819, absmax=13.29 +2025-11-04 13:26:30,687 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=10.97, mean=-0.1415, std=2.66, absmax=12.47 +2025-11-04 13:26:31,051 ERROR: Encountered non-finite generator loss at iter 21756; skipping update. +2025-11-04 13:26:31,052 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,053 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,053 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:31,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=15.29, mean=-0.1075, std=3.113, absmax=15.29 +2025-11-04 13:26:31,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=12.61, mean=-0.1061, std=2.812, absmax=12.61 +2025-11-04 13:26:31,413 ERROR: Encountered non-finite generator loss at iter 21757; skipping update. +2025-11-04 13:26:31,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:31,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.45, max=9.753, mean=-0.2376, std=2.32, absmax=10.45 +2025-11-04 13:26:31,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.093, max=8.498, mean=-0.1993, std=2.164, absmax=9.093 +2025-11-04 13:26:31,779 ERROR: Encountered non-finite generator loss at iter 21758; skipping update. +2025-11-04 13:26:31,780 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,781 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:31,782 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:31,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.58, mean=0.04573, std=3.331, absmax=14.58 +2025-11-04 13:26:31,783 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=14.16, mean=0.07913, std=3.142, absmax=14.16 +2025-11-04 13:26:32,140 ERROR: Encountered non-finite generator loss at iter 21759; skipping update. +2025-11-04 13:26:32,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:32,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=11.6, mean=-0.09921, std=3.24, absmax=11.6 +2025-11-04 13:26:32,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.5, mean=-0.13, std=3.055, absmax=11.5 +2025-11-04 13:26:32,502 ERROR: Encountered non-finite generator loss at iter 21760; skipping update. +2025-11-04 13:26:32,503 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,504 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,504 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:32,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=12.96, mean=-0.151, std=3.519, absmax=14.36 +2025-11-04 13:26:32,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=12.22, mean=-0.1429, std=3.268, absmax=12.43 +2025-11-04 13:26:32,862 ERROR: Encountered non-finite generator loss at iter 21761; skipping update. +2025-11-04 13:26:32,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:32,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:32,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=15.54, mean=-0.1542, std=3.191, absmax=15.54 +2025-11-04 13:26:32,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.52, mean=-0.1678, std=2.923, absmax=12.52 +2025-11-04 13:26:33,223 ERROR: Encountered non-finite generator loss at iter 21762; skipping update. +2025-11-04 13:26:33,224 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,225 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,225 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:33,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=14.26, mean=-0.3786, std=3.145, absmax=14.26 +2025-11-04 13:26:33,226 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=12.32, mean=-0.353, std=2.922, absmax=12.32 +2025-11-04 13:26:33,583 ERROR: Encountered non-finite generator loss at iter 21763; skipping update. +2025-11-04 13:26:33,584 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,585 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,585 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:33,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.41, mean=0.1765, std=3.426, absmax=13.09 +2025-11-04 13:26:33,587 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=11.59, mean=0.1781, std=3.194, absmax=12.28 +2025-11-04 13:26:33,946 ERROR: Encountered non-finite generator loss at iter 21764; skipping update. +2025-11-04 13:26:33,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:33,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:33,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.85, mean=-0.09845, std=3.096, absmax=13.85 +2025-11-04 13:26:33,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=12.24, mean=-0.06979, std=2.862, absmax=12.24 +2025-11-04 13:26:34,305 ERROR: Encountered non-finite generator loss at iter 21765; skipping update. +2025-11-04 13:26:34,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:34,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:34,307 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:34,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:34,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.41, mean=0.0008485, std=3.581, absmax=13.53 +2025-11-04 13:26:34,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=13.2, mean=0.02981, std=3.406, absmax=13.2 +2025-11-04 13:26:34,664 ERROR: Encountered non-finite generator loss at iter 21766; skipping update. +2025-11-04 13:26:34,665 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:34,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:34,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:34,667 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:34,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.42, mean=-0.1612, std=3.092, absmax=14.1 +2025-11-04 13:26:34,668 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=11.23, mean=-0.1722, std=2.743, absmax=12.36 +2025-11-04 13:26:35,024 ERROR: Encountered non-finite generator loss at iter 21767; skipping update. +2025-11-04 13:26:35,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:35,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.79, mean=-0.02453, std=3.253, absmax=12.89 +2025-11-04 13:26:35,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=12.22, mean=-0.02903, std=3.042, absmax=12.22 +2025-11-04 13:26:35,384 ERROR: Encountered non-finite generator loss at iter 21768; skipping update. +2025-11-04 13:26:35,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,387 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:35,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.14, mean=-0.07151, std=2.697, absmax=13.14 +2025-11-04 13:26:35,388 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.51, mean=-0.06668, std=2.522, absmax=10.99 +2025-11-04 13:26:35,744 ERROR: Encountered non-finite generator loss at iter 21769; skipping update. +2025-11-04 13:26:35,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:35,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:35,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=15.26, mean=-0.1094, std=2.982, absmax=15.26 +2025-11-04 13:26:35,748 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=14.09, mean=-0.1395, std=2.769, absmax=14.09 +2025-11-04 13:26:36,104 ERROR: Encountered non-finite generator loss at iter 21770; skipping update. +2025-11-04 13:26:36,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:36,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=13.02, mean=-0.1706, std=3.134, absmax=14.53 +2025-11-04 13:26:36,108 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=11.73, mean=-0.1573, std=2.902, absmax=12.82 +2025-11-04 13:26:36,464 ERROR: Encountered non-finite generator loss at iter 21771; skipping update. +2025-11-04 13:26:36,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:36,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.9, mean=-0.01546, std=3.326, absmax=13.9 +2025-11-04 13:26:36,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.78, max=13.01, mean=-0.0462, std=3.057, absmax=13.78 +2025-11-04 13:26:36,825 ERROR: Encountered non-finite generator loss at iter 21772; skipping update. +2025-11-04 13:26:36,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:36,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:36,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=11.76, mean=-0.07091, std=2.645, absmax=11.82 +2025-11-04 13:26:36,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=9.667, mean=-0.1334, std=2.429, absmax=10.74 +2025-11-04 13:26:37,183 ERROR: Encountered non-finite generator loss at iter 21773; skipping update. +2025-11-04 13:26:37,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:37,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=12.78, mean=-0.08255, std=3.538, absmax=14.35 +2025-11-04 13:26:37,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=11.78, mean=-0.06964, std=3.295, absmax=12.46 +2025-11-04 13:26:37,544 ERROR: Encountered non-finite generator loss at iter 21774; skipping update. +2025-11-04 13:26:37,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:37,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.25, mean=-0.1991, std=2.888, absmax=12.26 +2025-11-04 13:26:37,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=12.67, mean=-0.153, std=2.866, absmax=12.67 +2025-11-04 13:26:37,903 ERROR: Encountered non-finite generator loss at iter 21775; skipping update. +2025-11-04 13:26:37,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:37,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:37,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.67, mean=-0.2588, std=3.085, absmax=13.2 +2025-11-04 13:26:37,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=9.906, mean=-0.2535, std=2.862, absmax=11.26 +2025-11-04 13:26:38,263 ERROR: Encountered non-finite generator loss at iter 21776; skipping update. +2025-11-04 13:26:38,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:38,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=12.64, mean=-0.01507, std=2.667, absmax=12.64 +2025-11-04 13:26:38,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=10.83, mean=-0.003845, std=2.407, absmax=10.83 +2025-11-04 13:26:38,624 ERROR: Encountered non-finite generator loss at iter 21777; skipping update. +2025-11-04 13:26:38,625 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,626 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:38,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.89, mean=-0.1201, std=2.855, absmax=12.76 +2025-11-04 13:26:38,627 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=9.737, mean=-0.1205, std=2.616, absmax=11.74 +2025-11-04 13:26:38,983 ERROR: Encountered non-finite generator loss at iter 21778; skipping update. +2025-11-04 13:26:38,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:38,986 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:38,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.77, max=12.77, mean=-0.05613, std=2.986, absmax=12.77 +2025-11-04 13:26:38,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=12.38, mean=-0.00722, std=2.914, absmax=12.38 +2025-11-04 13:26:39,344 ERROR: Encountered non-finite generator loss at iter 21779; skipping update. +2025-11-04 13:26:39,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:39,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:39,345 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:39,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:39,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.38, mean=-0.0214, std=2.872, absmax=15.38 +2025-11-04 13:26:39,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=11.92, mean=-0.01284, std=2.556, absmax=11.92 +2025-11-04 13:26:39,703 ERROR: Encountered non-finite generator loss at iter 21780; skipping update. +2025-11-04 13:26:39,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:39,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:39,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:39,706 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:39,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.42, mean=-0.351, std=3.335, absmax=14.08 +2025-11-04 13:26:39,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.48, max=10.21, mean=-0.3566, std=3.153, absmax=13.48 +2025-11-04 13:26:40,063 ERROR: Encountered non-finite generator loss at iter 21781; skipping update. +2025-11-04 13:26:40,064 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:40,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.31, mean=0.008483, std=2.921, absmax=13.31 +2025-11-04 13:26:40,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.15, mean=-0.02339, std=2.784, absmax=12.15 +2025-11-04 13:26:40,425 ERROR: Encountered non-finite generator loss at iter 21782; skipping update. +2025-11-04 13:26:40,426 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,427 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,427 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:40,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.65, mean=-0.3643, std=2.889, absmax=12.65 +2025-11-04 13:26:40,428 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=12.52, mean=-0.3275, std=2.679, absmax=13.28 +2025-11-04 13:26:40,785 ERROR: Encountered non-finite generator loss at iter 21783; skipping update. +2025-11-04 13:26:40,786 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,787 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:40,787 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:40,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=16.62, mean=-0.1681, std=3.861, absmax=16.62 +2025-11-04 13:26:40,788 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=13.24, mean=-0.1442, std=3.58, absmax=13.24 +2025-11-04 13:26:41,145 ERROR: Encountered non-finite generator loss at iter 21784; skipping update. +2025-11-04 13:26:41,147 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,147 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,148 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:41,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.16, mean=-0.2966, std=2.734, absmax=12.04 +2025-11-04 13:26:41,149 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.991, max=9.403, mean=-0.2712, std=2.517, absmax=9.991 +2025-11-04 13:26:41,506 ERROR: Encountered non-finite generator loss at iter 21785; skipping update. +2025-11-04 13:26:41,507 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:41,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=14.66, mean=-0.1207, std=2.998, absmax=14.66 +2025-11-04 13:26:41,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=12.88, mean=-0.1057, std=2.702, absmax=12.88 +2025-11-04 13:26:41,866 ERROR: Encountered non-finite generator loss at iter 21786; skipping update. +2025-11-04 13:26:41,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:41,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:41,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=14.74, mean=-0.3562, std=3.508, absmax=14.74 +2025-11-04 13:26:41,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=13.25, mean=-0.3452, std=3.26, absmax=13.25 +2025-11-04 13:26:42,230 ERROR: Encountered non-finite generator loss at iter 21787; skipping update. +2025-11-04 13:26:42,232 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:42,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:42,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:42,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:42,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.78, mean=-0.2036, std=2.615, absmax=12.78 +2025-11-04 13:26:42,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=10.58, mean=-0.1658, std=2.46, absmax=11.08 +2025-11-04 13:26:42,662 ERROR: Encountered non-finite generator loss at iter 21788; skipping update. +2025-11-04 13:26:42,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:42,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:42,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:42,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:42,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.8, mean=-0.09315, std=2.676, absmax=12.8 +2025-11-04 13:26:42,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.602, max=10.88, mean=-0.09536, std=2.374, absmax=10.88 +2025-11-04 13:26:43,023 ERROR: Encountered non-finite generator loss at iter 21789; skipping update. +2025-11-04 13:26:43,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:43,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.76, mean=0.00259, std=2.952, absmax=12.76 +2025-11-04 13:26:43,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.54, mean=0.004848, std=2.745, absmax=11.59 +2025-11-04 13:26:43,383 ERROR: Encountered non-finite generator loss at iter 21790; skipping update. +2025-11-04 13:26:43,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:43,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.5, mean=-0.08236, std=3.269, absmax=13.5 +2025-11-04 13:26:43,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.24, mean=-0.04865, std=3.023, absmax=12.24 +2025-11-04 13:26:43,744 ERROR: Encountered non-finite generator loss at iter 21791; skipping update. +2025-11-04 13:26:43,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:43,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:43,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.03, mean=-0.1099, std=3.186, absmax=14.03 +2025-11-04 13:26:43,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=11.59, mean=-0.08882, std=2.948, absmax=13.1 +2025-11-04 13:26:44,103 ERROR: Encountered non-finite generator loss at iter 21792; skipping update. +2025-11-04 13:26:44,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:44,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=14.14, mean=0.1485, std=3.515, absmax=14.14 +2025-11-04 13:26:44,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=12.28, mean=0.165, std=3.226, absmax=12.28 +2025-11-04 13:26:44,464 ERROR: Encountered non-finite generator loss at iter 21793; skipping update. +2025-11-04 13:26:44,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:44,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=10.37, mean=-0.1684, std=2.632, absmax=11.5 +2025-11-04 13:26:44,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=9.442, mean=-0.136, std=2.585, absmax=10.85 +2025-11-04 13:26:44,828 ERROR: Encountered non-finite generator loss at iter 21794; skipping update. +2025-11-04 13:26:44,830 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,831 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:44,831 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:44,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=10.63, mean=-0.3986, std=3.297, absmax=13.61 +2025-11-04 13:26:44,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=9.656, mean=-0.3918, std=3.137, absmax=12.8 +2025-11-04 13:26:45,192 ERROR: Encountered non-finite generator loss at iter 21795; skipping update. +2025-11-04 13:26:45,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:45,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=11.12, mean=-0.2142, std=2.512, absmax=11.55 +2025-11-04 13:26:45,197 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.08, mean=-0.1951, std=2.355, absmax=11.16 +2025-11-04 13:26:45,555 ERROR: Encountered non-finite generator loss at iter 21796; skipping update. +2025-11-04 13:26:45,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:45,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=11.48, mean=-0.1965, std=3.209, absmax=14.3 +2025-11-04 13:26:45,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=10.54, mean=-0.1807, std=2.967, absmax=12.59 +2025-11-04 13:26:45,918 ERROR: Encountered non-finite generator loss at iter 21797; skipping update. +2025-11-04 13:26:45,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:45,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:45,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=12.69, mean=0.01393, std=3.053, absmax=12.69 +2025-11-04 13:26:45,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=11.27, mean=0.05061, std=2.848, absmax=11.38 +2025-11-04 13:26:46,278 ERROR: Encountered non-finite generator loss at iter 21798; skipping update. +2025-11-04 13:26:46,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:46,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:46,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:46,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:46,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.81, mean=-0.2226, std=2.797, absmax=14.81 +2025-11-04 13:26:46,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.06, mean=-0.2094, std=2.604, absmax=12.06 +2025-11-04 13:26:46,639 ERROR: Encountered non-finite generator loss at iter 21799; skipping update. +2025-11-04 13:26:46,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:46,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:46,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:46,642 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:46,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.39, mean=-0.1499, std=2.975, absmax=12.91 +2025-11-04 13:26:46,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=11.16, mean=-0.1352, std=2.76, absmax=11.16 +2025-11-04 13:26:47,003 ERROR: Encountered non-finite generator loss at iter 21800; skipping update. +2025-11-04 13:26:47,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,005 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:47,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.75, mean=-0.2173, std=2.762, absmax=13.75 +2025-11-04 13:26:47,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=12.17, mean=-0.2243, std=2.527, absmax=12.17 +2025-11-04 13:26:47,008 INFO: [38..][epoch: 0, step: 21,800, lr:(2.000e-04,)] [eta: 1 day, 6:34:33, time (data): 0.362 (0.000)] +2025-11-04 13:26:47,365 ERROR: Encountered non-finite generator loss at iter 21801; skipping update. +2025-11-04 13:26:47,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:47,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.32, mean=-0.2532, std=2.82, absmax=12.66 +2025-11-04 13:26:47,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=12.86, mean=-0.2638, std=2.714, absmax=13.26 +2025-11-04 13:26:47,724 ERROR: Encountered non-finite generator loss at iter 21802; skipping update. +2025-11-04 13:26:47,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:47,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:47,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.63, mean=-0.05927, std=3.08, absmax=14.63 +2025-11-04 13:26:47,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=13.51, mean=-0.0622, std=2.762, absmax=13.51 +2025-11-04 13:26:48,084 ERROR: Encountered non-finite generator loss at iter 21803; skipping update. +2025-11-04 13:26:48,085 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,086 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:48,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=14.04, mean=-0.09434, std=3.001, absmax=14.04 +2025-11-04 13:26:48,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=13.41, mean=-0.068, std=2.844, absmax=13.41 +2025-11-04 13:26:48,444 ERROR: Encountered non-finite generator loss at iter 21804; skipping update. +2025-11-04 13:26:48,445 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,446 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,446 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:48,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=11.54, mean=-0.1656, std=2.631, absmax=11.54 +2025-11-04 13:26:48,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=10.93, mean=-0.1461, std=2.481, absmax=10.93 +2025-11-04 13:26:48,804 ERROR: Encountered non-finite generator loss at iter 21805; skipping update. +2025-11-04 13:26:48,805 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:48,807 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:48,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=9.981, mean=-0.4118, std=2.994, absmax=13.96 +2025-11-04 13:26:48,808 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=9.651, mean=-0.3173, std=2.875, absmax=12.47 +2025-11-04 13:26:49,165 ERROR: Encountered non-finite generator loss at iter 21806; skipping update. +2025-11-04 13:26:49,166 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,167 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,167 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:49,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=10.39, mean=-0.2096, std=2.481, absmax=13.04 +2025-11-04 13:26:49,168 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=9.925, mean=-0.2148, std=2.401, absmax=11.42 +2025-11-04 13:26:49,524 ERROR: Encountered non-finite generator loss at iter 21807; skipping update. +2025-11-04 13:26:49,526 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,527 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,527 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,527 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:49,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=11.66, mean=-0.2102, std=2.234, absmax=13.16 +2025-11-04 13:26:49,529 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=10.11, mean=-0.1966, std=2.135, absmax=10.18 +2025-11-04 13:26:49,885 ERROR: Encountered non-finite generator loss at iter 21808; skipping update. +2025-11-04 13:26:49,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:49,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:49,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.31, mean=-0.02147, std=2.981, absmax=12.79 +2025-11-04 13:26:49,888 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=11.33, mean=-0.009479, std=2.833, absmax=11.72 +2025-11-04 13:26:50,244 ERROR: Encountered non-finite generator loss at iter 21809; skipping update. +2025-11-04 13:26:50,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,247 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:50,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.37, mean=-0.1549, std=2.851, absmax=13.37 +2025-11-04 13:26:50,248 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.73, mean=-0.1227, std=2.576, absmax=12.5 +2025-11-04 13:26:50,604 ERROR: Encountered non-finite generator loss at iter 21810; skipping update. +2025-11-04 13:26:50,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:50,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=17.63, mean=-0.2807, std=2.997, absmax=17.63 +2025-11-04 13:26:50,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=16.96, mean=-0.281, std=2.811, absmax=16.96 +2025-11-04 13:26:50,964 ERROR: Encountered non-finite generator loss at iter 21811; skipping update. +2025-11-04 13:26:50,965 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,966 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:50,967 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:50,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.97, mean=-0.2881, std=2.904, absmax=12.49 +2025-11-04 13:26:50,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=10.35, mean=-0.2269, std=2.754, absmax=11.74 +2025-11-04 13:26:51,325 ERROR: Encountered non-finite generator loss at iter 21812; skipping update. +2025-11-04 13:26:51,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:51,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:51,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:51,328 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:51,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.2, mean=-0.1807, std=2.823, absmax=13.2 +2025-11-04 13:26:51,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=13.07, mean=-0.1744, std=2.729, absmax=13.07 +2025-11-04 13:26:51,684 ERROR: Encountered non-finite generator loss at iter 21813; skipping update. +2025-11-04 13:26:51,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:51,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:51,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:51,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:51,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=18.11, mean=-0.02656, std=3.246, absmax=18.11 +2025-11-04 13:26:51,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=12.93, mean=-0.01438, std=2.969, absmax=12.93 +2025-11-04 13:26:52,045 ERROR: Encountered non-finite generator loss at iter 21814; skipping update. +2025-11-04 13:26:52,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,046 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:52,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=11.97, mean=-0.2516, std=2.923, absmax=15 +2025-11-04 13:26:52,048 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=9.535, mean=-0.2253, std=2.789, absmax=12.23 +2025-11-04 13:26:52,404 ERROR: Encountered non-finite generator loss at iter 21815; skipping update. +2025-11-04 13:26:52,405 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,406 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,406 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:52,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.47, max=10.92, mean=-0.1774, std=2.306, absmax=10.92 +2025-11-04 13:26:52,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=10.25, mean=-0.1684, std=2.302, absmax=11.29 +2025-11-04 13:26:52,764 ERROR: Encountered non-finite generator loss at iter 21816; skipping update. +2025-11-04 13:26:52,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:52,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:52,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=13.38, mean=-0.1741, std=2.706, absmax=13.38 +2025-11-04 13:26:52,767 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.09, mean=-0.2137, std=2.501, absmax=11.09 +2025-11-04 13:26:53,124 ERROR: Encountered non-finite generator loss at iter 21817; skipping update. +2025-11-04 13:26:53,125 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,126 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,126 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:53,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=15.62, mean=-0.1423, std=3, absmax=15.62 +2025-11-04 13:26:53,127 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=14.53, mean=-0.1409, std=2.792, absmax=14.53 +2025-11-04 13:26:53,483 ERROR: Encountered non-finite generator loss at iter 21818; skipping update. +2025-11-04 13:26:53,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:53,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=15.28, mean=-0.1694, std=2.555, absmax=15.28 +2025-11-04 13:26:53,487 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=13.37, mean=-0.1681, std=2.319, absmax=13.37 +2025-11-04 13:26:53,843 ERROR: Encountered non-finite generator loss at iter 21819; skipping update. +2025-11-04 13:26:53,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:53,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:53,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=15.13, mean=-0.02356, std=3.505, absmax=15.13 +2025-11-04 13:26:53,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=14.94, mean=-0.02845, std=3.355, absmax=14.94 +2025-11-04 13:26:54,203 ERROR: Encountered non-finite generator loss at iter 21820; skipping update. +2025-11-04 13:26:54,204 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,205 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:54,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.68, mean=-0.03512, std=3.178, absmax=13.95 +2025-11-04 13:26:54,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=13.27, mean=0.01394, std=2.97, absmax=13.27 +2025-11-04 13:26:54,564 ERROR: Encountered non-finite generator loss at iter 21821; skipping update. +2025-11-04 13:26:54,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:54,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.48, mean=-0.08725, std=3.34, absmax=14.48 +2025-11-04 13:26:54,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=12.93, mean=-0.06939, std=3.076, absmax=12.93 +2025-11-04 13:26:54,924 ERROR: Encountered non-finite generator loss at iter 21822; skipping update. +2025-11-04 13:26:54,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:54,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:54,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=15.25, mean=-0.09085, std=2.778, absmax=15.25 +2025-11-04 13:26:54,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=14.85, mean=-0.08079, std=2.612, absmax=14.85 +2025-11-04 13:26:55,285 ERROR: Encountered non-finite generator loss at iter 21823; skipping update. +2025-11-04 13:26:55,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:55,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:55,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:55,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:55,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.92, mean=-0.1105, std=3.455, absmax=13.92 +2025-11-04 13:26:55,289 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=11.54, mean=-0.1057, std=3.241, absmax=13.3 +2025-11-04 13:26:55,646 ERROR: Encountered non-finite generator loss at iter 21824; skipping update. +2025-11-04 13:26:55,647 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:55,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:55,648 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:55,648 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:55,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=14.37, mean=-0.2367, std=3.159, absmax=15.51 +2025-11-04 13:26:55,649 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.87, max=13.88, mean=-0.1929, std=2.961, absmax=13.88 +2025-11-04 13:26:56,009 ERROR: Encountered non-finite generator loss at iter 21825; skipping update. +2025-11-04 13:26:56,010 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,011 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,011 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:56,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=15.06, mean=-0.1525, std=3.285, absmax=15.06 +2025-11-04 13:26:56,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=13.52, mean=-0.178, std=3.01, absmax=13.52 +2025-11-04 13:26:56,371 ERROR: Encountered non-finite generator loss at iter 21826; skipping update. +2025-11-04 13:26:56,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,373 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:56,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=15.2, mean=0.1476, std=3.781, absmax=15.2 +2025-11-04 13:26:56,374 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=13.46, mean=0.1555, std=3.45, absmax=13.46 +2025-11-04 13:26:56,732 ERROR: Encountered non-finite generator loss at iter 21827; skipping update. +2025-11-04 13:26:56,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:56,736 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:56,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.11, mean=-0.1328, std=3.082, absmax=14.11 +2025-11-04 13:26:56,737 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=12.12, mean=-0.1191, std=2.826, absmax=12.12 +2025-11-04 13:26:57,095 ERROR: Encountered non-finite generator loss at iter 21828; skipping update. +2025-11-04 13:26:57,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:57,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.54, mean=-0.142, std=3.001, absmax=12.54 +2025-11-04 13:26:57,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.84, mean=-0.1416, std=2.9, absmax=11.84 +2025-11-04 13:26:57,456 ERROR: Encountered non-finite generator loss at iter 21829; skipping update. +2025-11-04 13:26:57,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:57,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.34, mean=-0.1683, std=2.941, absmax=13.76 +2025-11-04 13:26:57,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=10.55, mean=-0.1137, std=2.799, absmax=12.87 +2025-11-04 13:26:57,817 ERROR: Encountered non-finite generator loss at iter 21830; skipping update. +2025-11-04 13:26:57,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:57,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:57,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=11.33, mean=-0.1448, std=2.752, absmax=11.33 +2025-11-04 13:26:57,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.14, mean=-0.09363, std=2.656, absmax=11.37 +2025-11-04 13:26:58,177 ERROR: Encountered non-finite generator loss at iter 21831; skipping update. +2025-11-04 13:26:58,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,181 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:58,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.39, mean=0.02357, std=3.162, absmax=14.39 +2025-11-04 13:26:58,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=13.28, mean=0.008338, std=2.884, absmax=13.28 +2025-11-04 13:26:58,542 ERROR: Encountered non-finite generator loss at iter 21832; skipping update. +2025-11-04 13:26:58,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:58,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=12.79, mean=0.04196, std=3.233, absmax=13.88 +2025-11-04 13:26:58,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.45, mean=0.03025, std=2.987, absmax=12.02 +2025-11-04 13:26:58,907 ERROR: Encountered non-finite generator loss at iter 21833; skipping update. +2025-11-04 13:26:58,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,909 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:58,909 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:58,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=9.716, mean=-0.2637, std=2.557, absmax=10.92 +2025-11-04 13:26:58,910 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.478, max=10.67, mean=-0.2175, std=2.428, absmax=10.67 +2025-11-04 13:26:59,268 ERROR: Encountered non-finite generator loss at iter 21834; skipping update. +2025-11-04 13:26:59,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,271 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,271 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:59,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=12.57, mean=-0.04673, std=3.258, absmax=12.57 +2025-11-04 13:26:59,272 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.98, mean=-0.02979, std=2.987, absmax=11.98 +2025-11-04 13:26:59,631 ERROR: Encountered non-finite generator loss at iter 21835; skipping update. +2025-11-04 13:26:59,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:59,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=16.47, mean=-0.1052, std=3.705, absmax=16.47 +2025-11-04 13:26:59,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=15.45, mean=-0.06661, std=3.446, absmax=15.45 +2025-11-04 13:26:59,991 ERROR: Encountered non-finite generator loss at iter 21836; skipping update. +2025-11-04 13:26:59,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:26:59,993 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:26:59,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.57, mean=-0.1033, std=2.84, absmax=13.57 +2025-11-04 13:26:59,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.63, mean=-0.1084, std=2.7, absmax=12.44 +2025-11-04 13:27:00,355 ERROR: Encountered non-finite generator loss at iter 21837; skipping update. +2025-11-04 13:27:00,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:00,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:00,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:00,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:00,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=13.81, mean=-0.1666, std=2.904, absmax=14.52 +2025-11-04 13:27:00,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.6, mean=-0.1878, std=2.642, absmax=12.6 +2025-11-04 13:27:00,718 ERROR: Encountered non-finite generator loss at iter 21838; skipping update. +2025-11-04 13:27:00,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:00,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:00,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:00,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:00,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=15.06, mean=-0.1034, std=2.58, absmax=15.06 +2025-11-04 13:27:00,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.14, mean=-0.1389, std=2.419, absmax=11.14 +2025-11-04 13:27:01,082 ERROR: Encountered non-finite generator loss at iter 21839; skipping update. +2025-11-04 13:27:01,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:01,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.97, mean=-0.2661, std=2.374, absmax=14.97 +2025-11-04 13:27:01,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.17, mean=-0.2434, std=2.19, absmax=11.17 +2025-11-04 13:27:01,445 ERROR: Encountered non-finite generator loss at iter 21840; skipping update. +2025-11-04 13:27:01,446 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,447 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,447 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:01,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=16.72, mean=-0.3153, std=3.107, absmax=16.72 +2025-11-04 13:27:01,449 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=14.81, mean=-0.2455, std=3.015, absmax=14.81 +2025-11-04 13:27:01,809 ERROR: Encountered non-finite generator loss at iter 21841; skipping update. +2025-11-04 13:27:01,810 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:01,812 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:01,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.32, mean=-0.2056, std=2.918, absmax=13.32 +2025-11-04 13:27:01,813 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.66, mean=-0.2055, std=2.644, absmax=12.66 +2025-11-04 13:27:02,175 ERROR: Encountered non-finite generator loss at iter 21842; skipping update. +2025-11-04 13:27:02,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:02,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=11.91, mean=-0.2192, std=2.857, absmax=14.04 +2025-11-04 13:27:02,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.45, mean=-0.2117, std=2.618, absmax=11.91 +2025-11-04 13:27:02,542 ERROR: Encountered non-finite generator loss at iter 21843; skipping update. +2025-11-04 13:27:02,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:02,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.7, mean=-0.07692, std=3.213, absmax=12.7 +2025-11-04 13:27:02,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.37, mean=-0.08539, std=3.14, absmax=12.4 +2025-11-04 13:27:02,907 ERROR: Encountered non-finite generator loss at iter 21844; skipping update. +2025-11-04 13:27:02,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:02,909 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:02,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.38, mean=-0.2042, std=2.489, absmax=12.38 +2025-11-04 13:27:02,910 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=9.481, mean=-0.2001, std=2.292, absmax=10.87 +2025-11-04 13:27:03,270 ERROR: Encountered non-finite generator loss at iter 21845; skipping update. +2025-11-04 13:27:03,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:03,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:03,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:03,272 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:03,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.58, mean=-0.1785, std=2.853, absmax=12.96 +2025-11-04 13:27:03,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=11.17, mean=-0.1549, std=2.587, absmax=11.17 +2025-11-04 13:27:03,635 ERROR: Encountered non-finite generator loss at iter 21846; skipping update. +2025-11-04 13:27:03,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:03,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:03,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:03,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:03,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.43, max=12.38, mean=-0.1052, std=2.457, absmax=12.38 +2025-11-04 13:27:03,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=9.04, mean=-0.1296, std=2.328, absmax=10.78 +2025-11-04 13:27:03,998 ERROR: Encountered non-finite generator loss at iter 21847; skipping update. +2025-11-04 13:27:03,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:04,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.39, mean=-0.2416, std=2.721, absmax=13.81 +2025-11-04 13:27:04,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=10.51, mean=-0.169, std=2.687, absmax=12.37 +2025-11-04 13:27:04,361 ERROR: Encountered non-finite generator loss at iter 21848; skipping update. +2025-11-04 13:27:04,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,364 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:04,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.65, mean=0.1133, std=3.433, absmax=12.65 +2025-11-04 13:27:04,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=12.06, mean=0.1239, std=3.21, absmax=12.06 +2025-11-04 13:27:04,725 ERROR: Encountered non-finite generator loss at iter 21849; skipping update. +2025-11-04 13:27:04,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:04,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:04,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=12, mean=-0.07745, std=2.692, absmax=14.11 +2025-11-04 13:27:04,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=11.1, mean=-0.05199, std=2.5, absmax=11.1 +2025-11-04 13:27:05,086 ERROR: Encountered non-finite generator loss at iter 21850; skipping update. +2025-11-04 13:27:05,087 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:05,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=12.29, mean=-0.2089, std=3.092, absmax=14.53 +2025-11-04 13:27:05,092 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=9.755, mean=-0.205, std=2.86, absmax=13.37 +2025-11-04 13:27:05,450 ERROR: Encountered non-finite generator loss at iter 21851; skipping update. +2025-11-04 13:27:05,451 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,452 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,452 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:05,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.7, mean=-0.329, std=3.137, absmax=13.04 +2025-11-04 13:27:05,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=12.78, mean=-0.3514, std=2.972, absmax=12.78 +2025-11-04 13:27:05,813 ERROR: Encountered non-finite generator loss at iter 21852; skipping update. +2025-11-04 13:27:05,814 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,816 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:05,816 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:05,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=12.14, mean=-0.05929, std=3.924, absmax=14.28 +2025-11-04 13:27:05,817 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=10.81, mean=-0.03594, std=3.565, absmax=12.81 +2025-11-04 13:27:06,175 ERROR: Encountered non-finite generator loss at iter 21853; skipping update. +2025-11-04 13:27:06,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:06,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.71, mean=-0.213, std=2.905, absmax=12.71 +2025-11-04 13:27:06,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=10.23, mean=-0.2188, std=2.728, absmax=12.16 +2025-11-04 13:27:06,539 ERROR: Encountered non-finite generator loss at iter 21854; skipping update. +2025-11-04 13:27:06,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:06,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=9.281, mean=-0.2465, std=2.426, absmax=11.81 +2025-11-04 13:27:06,543 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.95, max=8.369, mean=-0.2512, std=2.311, absmax=9.95 +2025-11-04 13:27:06,902 ERROR: Encountered non-finite generator loss at iter 21855; skipping update. +2025-11-04 13:27:06,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:06,904 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:06,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=10.81, mean=-0.2743, std=2.376, absmax=11.66 +2025-11-04 13:27:06,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=9.15, mean=-0.2759, std=2.363, absmax=11.54 +2025-11-04 13:27:07,262 ERROR: Encountered non-finite generator loss at iter 21856; skipping update. +2025-11-04 13:27:07,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:07,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=11.56, mean=-0.3126, std=2.966, absmax=14.49 +2025-11-04 13:27:07,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=9.839, mean=-0.2691, std=2.74, absmax=12.75 +2025-11-04 13:27:07,624 ERROR: Encountered non-finite generator loss at iter 21857; skipping update. +2025-11-04 13:27:07,625 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,626 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:07,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=13.69, mean=-0.2164, std=3.099, absmax=15.17 +2025-11-04 13:27:07,627 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=13.07, mean=-0.2344, std=2.917, absmax=13.07 +2025-11-04 13:27:07,984 ERROR: Encountered non-finite generator loss at iter 21858; skipping update. +2025-11-04 13:27:07,985 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,986 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:07,986 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:07,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=10.72, mean=-0.3282, std=2.829, absmax=13.74 +2025-11-04 13:27:07,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=9.756, mean=-0.3404, std=2.569, absmax=12.47 +2025-11-04 13:27:08,344 ERROR: Encountered non-finite generator loss at iter 21859; skipping update. +2025-11-04 13:27:08,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:08,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:08,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:08,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:08,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.97, mean=0.02443, std=3.128, absmax=12.97 +2025-11-04 13:27:08,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=11.03, mean=0.03837, std=2.79, absmax=11.03 +2025-11-04 13:27:08,705 ERROR: Encountered non-finite generator loss at iter 21860; skipping update. +2025-11-04 13:27:08,706 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:08,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:08,707 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:08,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:08,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=12.78, mean=-0.1883, std=2.947, absmax=15.37 +2025-11-04 13:27:08,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=10.5, mean=-0.1458, std=2.701, absmax=12.46 +2025-11-04 13:27:09,066 ERROR: Encountered non-finite generator loss at iter 21861; skipping update. +2025-11-04 13:27:09,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:09,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=16.39, mean=-0.248, std=3.084, absmax=16.39 +2025-11-04 13:27:09,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=15.1, mean=-0.2208, std=2.762, absmax=15.1 +2025-11-04 13:27:09,426 ERROR: Encountered non-finite generator loss at iter 21862; skipping update. +2025-11-04 13:27:09,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:09,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.01, mean=-0.2269, std=3.145, absmax=14.01 +2025-11-04 13:27:09,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=12.33, mean=-0.2505, std=2.845, absmax=12.33 +2025-11-04 13:27:09,787 ERROR: Encountered non-finite generator loss at iter 21863; skipping update. +2025-11-04 13:27:09,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:09,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:09,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=10.74, mean=-0.1606, std=3.018, absmax=12.46 +2025-11-04 13:27:09,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=9.818, mean=-0.2083, std=2.812, absmax=10.63 +2025-11-04 13:27:10,147 ERROR: Encountered non-finite generator loss at iter 21864; skipping update. +2025-11-04 13:27:10,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,149 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:10,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.59, mean=-0.1638, std=2.819, absmax=13.65 +2025-11-04 13:27:10,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.12, mean=-0.1755, std=2.588, absmax=12.1 +2025-11-04 13:27:10,507 ERROR: Encountered non-finite generator loss at iter 21865; skipping update. +2025-11-04 13:27:10,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:10,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.84, mean=-0.2463, std=2.954, absmax=13.84 +2025-11-04 13:27:10,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=14.1, mean=-0.237, std=2.731, absmax=14.1 +2025-11-04 13:27:10,867 ERROR: Encountered non-finite generator loss at iter 21866; skipping update. +2025-11-04 13:27:10,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:10,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:10,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=12.01, mean=-0.1451, std=2.918, absmax=13.69 +2025-11-04 13:27:10,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=10.44, mean=-0.1541, std=2.669, absmax=11.98 +2025-11-04 13:27:11,228 ERROR: Encountered non-finite generator loss at iter 21867; skipping update. +2025-11-04 13:27:11,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,230 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:11,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.9, mean=0.1884, std=3.901, absmax=14.9 +2025-11-04 13:27:11,231 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=12.93, mean=0.1442, std=3.715, absmax=12.93 +2025-11-04 13:27:11,586 ERROR: Encountered non-finite generator loss at iter 21868; skipping update. +2025-11-04 13:27:11,587 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:11,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=14.48, mean=-0.2123, std=2.867, absmax=14.48 +2025-11-04 13:27:11,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=14.15, mean=-0.2086, std=2.673, absmax=14.15 +2025-11-04 13:27:11,947 ERROR: Encountered non-finite generator loss at iter 21869; skipping update. +2025-11-04 13:27:11,948 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,949 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:11,949 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:11,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.8, mean=-0.2522, std=3.061, absmax=12.8 +2025-11-04 13:27:11,950 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=10.84, mean=-0.2331, std=2.899, absmax=12.48 +2025-11-04 13:27:12,307 ERROR: Encountered non-finite generator loss at iter 21870; skipping update. +2025-11-04 13:27:12,308 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:12,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:12,309 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:12,310 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:12,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.9, mean=-0.1464, std=3.139, absmax=12.43 +2025-11-04 13:27:12,311 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=10.3, mean=-0.116, std=2.94, absmax=11.55 +2025-11-04 13:27:12,668 ERROR: Encountered non-finite generator loss at iter 21871; skipping update. +2025-11-04 13:27:12,670 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:12,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:12,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:12,671 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:12,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11.54, mean=-0.2453, std=2.737, absmax=12.39 +2025-11-04 13:27:12,672 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.43, mean=-0.243, std=2.749, absmax=11.96 +2025-11-04 13:27:13,029 ERROR: Encountered non-finite generator loss at iter 21872; skipping update. +2025-11-04 13:27:13,030 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,031 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,031 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:13,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=11.73, mean=-0.2162, std=2.889, absmax=13.82 +2025-11-04 13:27:13,032 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=10.61, mean=-0.1722, std=2.725, absmax=12.89 +2025-11-04 13:27:13,389 ERROR: Encountered non-finite generator loss at iter 21873; skipping update. +2025-11-04 13:27:13,390 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,391 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,391 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:13,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.39, mean=-0.1259, std=2.99, absmax=13.73 +2025-11-04 13:27:13,392 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.52, mean=-0.1193, std=2.777, absmax=11.6 +2025-11-04 13:27:13,749 ERROR: Encountered non-finite generator loss at iter 21874; skipping update. +2025-11-04 13:27:13,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:13,751 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:13,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=15.02, mean=0.04504, std=3.294, absmax=15.02 +2025-11-04 13:27:13,752 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=14.61, mean=0.0579, std=3.059, absmax=14.61 +2025-11-04 13:27:14,110 ERROR: Encountered non-finite generator loss at iter 21875; skipping update. +2025-11-04 13:27:14,111 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,112 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,112 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:14,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.07, mean=-0.2217, std=2.613, absmax=14.07 +2025-11-04 13:27:14,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.985, max=10.87, mean=-0.178, std=2.535, absmax=10.87 +2025-11-04 13:27:14,476 ERROR: Encountered non-finite generator loss at iter 21876; skipping update. +2025-11-04 13:27:14,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:14,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=15.74, mean=-0.03211, std=2.849, absmax=15.74 +2025-11-04 13:27:14,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=13.16, mean=-0.06926, std=2.612, absmax=13.16 +2025-11-04 13:27:14,838 ERROR: Encountered non-finite generator loss at iter 21877; skipping update. +2025-11-04 13:27:14,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:14,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:14,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.89, mean=-0.3916, std=3.44, absmax=13.41 +2025-11-04 13:27:14,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=10.6, mean=-0.3481, std=3.395, absmax=13.55 +2025-11-04 13:27:15,201 ERROR: Encountered non-finite generator loss at iter 21878; skipping update. +2025-11-04 13:27:15,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:15,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.8, mean=-0.1781, std=3.12, absmax=12.35 +2025-11-04 13:27:15,206 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.58, mean=-0.1601, std=2.878, absmax=10.96 +2025-11-04 13:27:15,564 ERROR: Encountered non-finite generator loss at iter 21879; skipping update. +2025-11-04 13:27:15,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,568 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:15,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.05, mean=-0.00742, std=3.218, absmax=12.96 +2025-11-04 13:27:15,569 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=12.71, mean=0.04333, std=3.005, absmax=12.71 +2025-11-04 13:27:15,927 ERROR: Encountered non-finite generator loss at iter 21880; skipping update. +2025-11-04 13:27:15,928 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:15,929 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:15,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.13, mean=-0.17, std=2.496, absmax=11.54 +2025-11-04 13:27:15,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.722, max=10.28, mean=-0.1193, std=2.327, absmax=10.28 +2025-11-04 13:27:16,288 ERROR: Encountered non-finite generator loss at iter 21881; skipping update. +2025-11-04 13:27:16,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:16,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:16,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:16,290 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:16,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=17.83, mean=-0.3035, std=3.519, absmax=17.83 +2025-11-04 13:27:16,291 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=14.26, mean=-0.2674, std=3.173, absmax=14.26 +2025-11-04 13:27:16,648 ERROR: Encountered non-finite generator loss at iter 21882; skipping update. +2025-11-04 13:27:16,649 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:16,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:16,650 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:16,650 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:16,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13, mean=-0.2467, std=2.741, absmax=13 +2025-11-04 13:27:16,651 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.88, mean=-0.1928, std=2.479, absmax=11.13 +2025-11-04 13:27:17,008 ERROR: Encountered non-finite generator loss at iter 21883; skipping update. +2025-11-04 13:27:17,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,010 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:17,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.1, mean=-0.04254, std=3.307, absmax=14.1 +2025-11-04 13:27:17,011 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=13.17, mean=-0.06986, std=3.098, absmax=13.17 +2025-11-04 13:27:17,368 ERROR: Encountered non-finite generator loss at iter 21884; skipping update. +2025-11-04 13:27:17,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:17,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.09, mean=-0.2119, std=3.14, absmax=12.09 +2025-11-04 13:27:17,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=11.3, mean=-0.2083, std=2.925, absmax=11.3 +2025-11-04 13:27:17,729 ERROR: Encountered non-finite generator loss at iter 21885; skipping update. +2025-11-04 13:27:17,730 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,730 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:17,731 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:17,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=14.41, mean=0.05433, std=2.989, absmax=14.41 +2025-11-04 13:27:17,732 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=13.54, mean=-0.01152, std=2.792, absmax=13.54 +2025-11-04 13:27:18,089 ERROR: Encountered non-finite generator loss at iter 21886; skipping update. +2025-11-04 13:27:18,090 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,091 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,091 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:18,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=15.16, mean=0.03873, std=3.077, absmax=15.16 +2025-11-04 13:27:18,092 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=12.31, mean=0.007129, std=2.919, absmax=12.31 +2025-11-04 13:27:18,450 ERROR: Encountered non-finite generator loss at iter 21887; skipping update. +2025-11-04 13:27:18,451 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,452 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:18,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.18, mean=-0.1964, std=3.06, absmax=13.18 +2025-11-04 13:27:18,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.93, mean=-0.1796, std=2.785, absmax=10.93 +2025-11-04 13:27:18,810 ERROR: Encountered non-finite generator loss at iter 21888; skipping update. +2025-11-04 13:27:18,811 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,812 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:18,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:18,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.61, mean=-0.1255, std=2.888, absmax=13.6 +2025-11-04 13:27:18,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=11.87, mean=-0.1357, std=2.75, absmax=12.76 +2025-11-04 13:27:19,170 ERROR: Encountered non-finite generator loss at iter 21889; skipping update. +2025-11-04 13:27:19,171 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,172 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,172 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:19,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.89, max=12.09, mean=-0.3821, std=3.475, absmax=17.89 +2025-11-04 13:27:19,174 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.47, max=11.22, mean=-0.3568, std=3.438, absmax=16.47 +2025-11-04 13:27:19,531 ERROR: Encountered non-finite generator loss at iter 21890; skipping update. +2025-11-04 13:27:19,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:19,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=11.1, mean=-0.2634, std=2.608, absmax=14.01 +2025-11-04 13:27:19,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.14, mean=-0.2231, std=2.489, absmax=11.26 +2025-11-04 13:27:19,890 ERROR: Encountered non-finite generator loss at iter 21891; skipping update. +2025-11-04 13:27:19,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:19,892 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:19,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.88, max=10.51, mean=-0.2112, std=2.609, absmax=10.88 +2025-11-04 13:27:19,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=9.3, mean=-0.1907, std=2.441, absmax=10.97 +2025-11-04 13:27:20,251 ERROR: Encountered non-finite generator loss at iter 21892; skipping update. +2025-11-04 13:27:20,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:20,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.25, mean=-0.04534, std=3.393, absmax=13.25 +2025-11-04 13:27:20,255 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=12.8, mean=-0.04311, std=3.231, absmax=12.8 +2025-11-04 13:27:20,615 ERROR: Encountered non-finite generator loss at iter 21893; skipping update. +2025-11-04 13:27:20,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,617 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,618 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:20,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.03, mean=-0.08032, std=3.155, absmax=14.03 +2025-11-04 13:27:20,619 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.12, max=12.67, mean=-0.09328, std=2.956, absmax=14.12 +2025-11-04 13:27:20,978 ERROR: Encountered non-finite generator loss at iter 21894; skipping update. +2025-11-04 13:27:20,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,980 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:20,980 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:20,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=18.17, mean=-0.258, std=3.349, absmax=18.17 +2025-11-04 13:27:20,982 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=15.13, mean=-0.2023, std=3.091, absmax=15.13 +2025-11-04 13:27:21,340 ERROR: Encountered non-finite generator loss at iter 21895; skipping update. +2025-11-04 13:27:21,341 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:21,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:21,342 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:21,343 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:21,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.96, mean=-0.004502, std=2.95, absmax=12.96 +2025-11-04 13:27:21,344 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.05, mean=-0.01777, std=2.7, absmax=12.05 +2025-11-04 13:27:21,703 ERROR: Encountered non-finite generator loss at iter 21896; skipping update. +2025-11-04 13:27:21,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:21,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:21,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:21,706 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:21,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.63, mean=-0.2612, std=2.814, absmax=12.52 +2025-11-04 13:27:21,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=10.42, mean=-0.2262, std=2.615, absmax=10.92 +2025-11-04 13:27:22,064 ERROR: Encountered non-finite generator loss at iter 21897; skipping update. +2025-11-04 13:27:22,065 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,066 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,067 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:22,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.68, mean=-0.05516, std=2.528, absmax=13.68 +2025-11-04 13:27:22,068 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.727, max=11.67, mean=-0.03413, std=2.389, absmax=11.67 +2025-11-04 13:27:22,424 ERROR: Encountered non-finite generator loss at iter 21898; skipping update. +2025-11-04 13:27:22,425 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:22,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.63, mean=-0.03358, std=3.095, absmax=14.63 +2025-11-04 13:27:22,428 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=14.13, mean=-0.05162, std=2.913, absmax=14.13 +2025-11-04 13:27:22,784 ERROR: Encountered non-finite generator loss at iter 21899; skipping update. +2025-11-04 13:27:22,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:22,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:22,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=11.63, mean=-0.1561, std=2.765, absmax=11.63 +2025-11-04 13:27:22,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=9.386, mean=-0.1865, std=2.601, absmax=10.85 +2025-11-04 13:27:23,144 ERROR: Encountered non-finite generator loss at iter 21900; skipping update. +2025-11-04 13:27:23,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:23,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.79, mean=-0.01607, std=3.217, absmax=12.79 +2025-11-04 13:27:23,147 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=11.58, mean=-0.01178, std=2.901, absmax=11.58 +2025-11-04 13:27:23,148 INFO: [38..][epoch: 0, step: 21,900, lr:(2.000e-04,)] [eta: 1 day, 6:27:14, time (data): 0.362 (0.000)] +2025-11-04 13:27:23,504 ERROR: Encountered non-finite generator loss at iter 21901; skipping update. +2025-11-04 13:27:23,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:23,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.94, mean=0.0237, std=3.038, absmax=13.77 +2025-11-04 13:27:23,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.18, mean=0.008602, std=2.688, absmax=11.18 +2025-11-04 13:27:23,863 ERROR: Encountered non-finite generator loss at iter 21902; skipping update. +2025-11-04 13:27:23,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:23,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:23,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.69, mean=0.005869, std=3.341, absmax=14.69 +2025-11-04 13:27:23,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=13.68, mean=0.002521, std=3.059, absmax=13.68 +2025-11-04 13:27:24,223 ERROR: Encountered non-finite generator loss at iter 21903; skipping update. +2025-11-04 13:27:24,224 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,225 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,225 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:24,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.65, mean=-0.282, std=3.095, absmax=13.65 +2025-11-04 13:27:24,226 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=10.13, mean=-0.2432, std=2.822, absmax=11.42 +2025-11-04 13:27:24,583 ERROR: Encountered non-finite generator loss at iter 21904; skipping update. +2025-11-04 13:27:24,584 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,585 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,585 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:24,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.06, max=14.07, mean=-0.1392, std=3.291, absmax=17.06 +2025-11-04 13:27:24,586 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.37, max=13.04, mean=-0.1361, std=3.051, absmax=15.37 +2025-11-04 13:27:24,943 ERROR: Encountered non-finite generator loss at iter 21905; skipping update. +2025-11-04 13:27:24,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:24,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:24,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.06, mean=-0.09182, std=2.832, absmax=13.54 +2025-11-04 13:27:24,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=11.32, mean=-0.06748, std=2.616, absmax=11.32 +2025-11-04 13:27:25,304 ERROR: Encountered non-finite generator loss at iter 21906; skipping update. +2025-11-04 13:27:25,305 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:25,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:25,306 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:25,306 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:25,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=15.08, mean=-0.01529, std=3.873, absmax=15.08 +2025-11-04 13:27:25,307 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=13.93, mean=0.01169, std=3.558, absmax=13.93 +2025-11-04 13:27:25,663 ERROR: Encountered non-finite generator loss at iter 21907; skipping update. +2025-11-04 13:27:25,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:25,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:25,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:25,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:25,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=10.98, mean=-0.1458, std=2.669, absmax=10.98 +2025-11-04 13:27:25,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.926, max=10.37, mean=-0.07887, std=2.636, absmax=10.37 +2025-11-04 13:27:26,024 ERROR: Encountered non-finite generator loss at iter 21908; skipping update. +2025-11-04 13:27:26,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:26,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=11.68, mean=-0.1022, std=2.517, absmax=11.68 +2025-11-04 13:27:26,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.844, max=11.63, mean=-0.03804, std=2.385, absmax=11.63 +2025-11-04 13:27:26,384 ERROR: Encountered non-finite generator loss at iter 21909; skipping update. +2025-11-04 13:27:26,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,387 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:26,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=14.34, mean=0.06384, std=3.108, absmax=14.34 +2025-11-04 13:27:26,388 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.45, mean=0.08573, std=2.87, absmax=12.45 +2025-11-04 13:27:26,745 ERROR: Encountered non-finite generator loss at iter 21910; skipping update. +2025-11-04 13:27:26,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:26,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:26,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=9.78, mean=-0.22, std=2.498, absmax=12.91 +2025-11-04 13:27:26,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=8.63, mean=-0.2156, std=2.271, absmax=12.87 +2025-11-04 13:27:27,106 ERROR: Encountered non-finite generator loss at iter 21911; skipping update. +2025-11-04 13:27:27,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,107 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:27,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13.37, mean=-0.1126, std=3.25, absmax=13.49 +2025-11-04 13:27:27,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.06, mean=-0.09298, std=2.911, absmax=12.06 +2025-11-04 13:27:27,465 ERROR: Encountered non-finite generator loss at iter 21912; skipping update. +2025-11-04 13:27:27,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:27,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=10.16, mean=-0.2032, std=2.797, absmax=11.52 +2025-11-04 13:27:27,468 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=9.635, mean=-0.192, std=2.627, absmax=11.16 +2025-11-04 13:27:27,824 ERROR: Encountered non-finite generator loss at iter 21913; skipping update. +2025-11-04 13:27:27,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:27,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:27,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.24, mean=-0.2907, std=2.797, absmax=12.77 +2025-11-04 13:27:27,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=11.16, mean=-0.2833, std=2.608, absmax=11.16 +2025-11-04 13:27:28,185 ERROR: Encountered non-finite generator loss at iter 21914; skipping update. +2025-11-04 13:27:28,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:28,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.55, mean=-0.1707, std=3.088, absmax=13.92 +2025-11-04 13:27:28,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=11.1, mean=-0.1515, std=2.782, absmax=11.93 +2025-11-04 13:27:28,544 ERROR: Encountered non-finite generator loss at iter 21915; skipping update. +2025-11-04 13:27:28,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:28,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.26, mean=-0.2591, std=2.55, absmax=13.26 +2025-11-04 13:27:28,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=11.47, mean=-0.2494, std=2.343, absmax=11.47 +2025-11-04 13:27:28,904 ERROR: Encountered non-finite generator loss at iter 21916; skipping update. +2025-11-04 13:27:28,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:28,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:28,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=15.87, mean=-0.1326, std=2.953, absmax=15.87 +2025-11-04 13:27:28,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=13.23, mean=-0.08458, std=2.74, absmax=13.23 +2025-11-04 13:27:29,265 ERROR: Encountered non-finite generator loss at iter 21917; skipping update. +2025-11-04 13:27:29,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:29,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=12, mean=-0.2977, std=3.105, absmax=13.93 +2025-11-04 13:27:29,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=10.76, mean=-0.2506, std=2.947, absmax=12.55 +2025-11-04 13:27:29,625 ERROR: Encountered non-finite generator loss at iter 21918; skipping update. +2025-11-04 13:27:29,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:29,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.98, mean=-0.1471, std=2.98, absmax=14.98 +2025-11-04 13:27:29,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=12.83, mean=-0.1435, std=2.685, absmax=12.83 +2025-11-04 13:27:29,985 ERROR: Encountered non-finite generator loss at iter 21919; skipping update. +2025-11-04 13:27:29,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:29,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:29,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.47, mean=-0.2495, std=2.843, absmax=12.67 +2025-11-04 13:27:29,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=12.24, mean=-0.2556, std=2.657, absmax=12.24 +2025-11-04 13:27:30,346 ERROR: Encountered non-finite generator loss at iter 21920; skipping update. +2025-11-04 13:27:30,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:30,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:30,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:30,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:30,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=15.16, mean=-0.01521, std=3.734, absmax=15.16 +2025-11-04 13:27:30,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=15.04, mean=-0.02468, std=3.587, absmax=15.04 +2025-11-04 13:27:30,707 ERROR: Encountered non-finite generator loss at iter 21921; skipping update. +2025-11-04 13:27:30,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:30,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:30,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:30,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:30,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=9.926, mean=-0.1212, std=2.843, absmax=13.13 +2025-11-04 13:27:30,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=9.647, mean=-0.113, std=2.712, absmax=11.77 +2025-11-04 13:27:31,066 ERROR: Encountered non-finite generator loss at iter 21922; skipping update. +2025-11-04 13:27:31,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:31,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=12.25, mean=-0.00299, std=3.021, absmax=12.25 +2025-11-04 13:27:31,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=11.77, mean=0.01187, std=2.835, absmax=11.77 +2025-11-04 13:27:31,426 ERROR: Encountered non-finite generator loss at iter 21923; skipping update. +2025-11-04 13:27:31,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,428 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:31,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.49, mean=-0.2871, std=3.108, absmax=12.64 +2025-11-04 13:27:31,429 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=10.56, mean=-0.233, std=2.921, absmax=11.71 +2025-11-04 13:27:31,785 ERROR: Encountered non-finite generator loss at iter 21924; skipping update. +2025-11-04 13:27:31,786 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,787 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:31,787 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:31,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=11.86, mean=-0.08847, std=2.966, absmax=13.51 +2025-11-04 13:27:31,788 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=10.15, mean=-0.09153, std=2.668, absmax=12.02 +2025-11-04 13:27:32,144 ERROR: Encountered non-finite generator loss at iter 21925; skipping update. +2025-11-04 13:27:32,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,147 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:32,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=13.74, mean=0.07984, std=3.05, absmax=13.74 +2025-11-04 13:27:32,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.51, mean=0.06752, std=2.865, absmax=12.51 +2025-11-04 13:27:32,505 ERROR: Encountered non-finite generator loss at iter 21926; skipping update. +2025-11-04 13:27:32,506 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,507 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,507 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:32,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=15.81, mean=-0.08714, std=3.006, absmax=15.81 +2025-11-04 13:27:32,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=13.72, mean=-0.05902, std=2.776, absmax=13.72 +2025-11-04 13:27:32,865 ERROR: Encountered non-finite generator loss at iter 21927; skipping update. +2025-11-04 13:27:32,866 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,867 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:32,867 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:32,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.29, mean=-0.06234, std=2.957, absmax=13.29 +2025-11-04 13:27:32,868 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.09, mean=-0.07218, std=2.819, absmax=11.09 +2025-11-04 13:27:33,225 ERROR: Encountered non-finite generator loss at iter 21928; skipping update. +2025-11-04 13:27:33,226 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,227 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:33,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.01, mean=-0.3053, std=2.811, absmax=13.87 +2025-11-04 13:27:33,228 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=10.37, mean=-0.3008, std=2.693, absmax=12.86 +2025-11-04 13:27:33,586 ERROR: Encountered non-finite generator loss at iter 21929; skipping update. +2025-11-04 13:27:33,588 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:33,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=15.67, mean=-0.2235, std=3.632, absmax=15.67 +2025-11-04 13:27:33,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=13.66, mean=-0.2609, std=3.359, absmax=13.66 +2025-11-04 13:27:33,948 ERROR: Encountered non-finite generator loss at iter 21930; skipping update. +2025-11-04 13:27:33,949 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,950 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:33,951 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:33,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.92, mean=-0.1582, std=2.683, absmax=12.33 +2025-11-04 13:27:33,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=10.07, mean=-0.1824, std=2.454, absmax=10.43 +2025-11-04 13:27:34,311 ERROR: Encountered non-finite generator loss at iter 21931; skipping update. +2025-11-04 13:27:34,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:34,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:34,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:34,315 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:34,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.54, mean=-0.1759, std=2.85, absmax=13.91 +2025-11-04 13:27:34,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.15, mean=-0.1754, std=2.638, absmax=12.4 +2025-11-04 13:27:34,673 ERROR: Encountered non-finite generator loss at iter 21932; skipping update. +2025-11-04 13:27:34,674 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:34,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:34,675 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:34,675 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:34,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.31, mean=-0.2723, std=2.52, absmax=12.69 +2025-11-04 13:27:34,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=9.769, mean=-0.2467, std=2.342, absmax=11.26 +2025-11-04 13:27:35,033 ERROR: Encountered non-finite generator loss at iter 21933; skipping update. +2025-11-04 13:27:35,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:35,037 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.49, mean=-0.1508, std=3.122, absmax=14.49 +2025-11-04 13:27:35,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=12.22, mean=-0.1433, std=2.904, absmax=12.52 +2025-11-04 13:27:35,394 ERROR: Encountered non-finite generator loss at iter 21934; skipping update. +2025-11-04 13:27:35,395 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,396 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,396 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:35,397 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=11.73, mean=-0.07816, std=2.992, absmax=13.25 +2025-11-04 13:27:35,398 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=10.65, mean=-0.03619, std=2.733, absmax=12.75 +2025-11-04 13:27:35,755 ERROR: Encountered non-finite generator loss at iter 21935; skipping update. +2025-11-04 13:27:35,756 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,756 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:35,757 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:35,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=13.55, mean=-0.01159, std=3.035, absmax=14.58 +2025-11-04 13:27:35,758 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=11.38, mean=-0.04315, std=2.769, absmax=12.92 +2025-11-04 13:27:36,115 ERROR: Encountered non-finite generator loss at iter 21936; skipping update. +2025-11-04 13:27:36,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:36,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.33, mean=0.1018, std=3.523, absmax=13.33 +2025-11-04 13:27:36,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=10.92, mean=0.02469, std=3.223, absmax=11.8 +2025-11-04 13:27:36,475 ERROR: Encountered non-finite generator loss at iter 21937; skipping update. +2025-11-04 13:27:36,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:36,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.42, mean=-0.1223, std=3.165, absmax=13.42 +2025-11-04 13:27:36,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=12.28, mean=-0.1055, std=2.889, absmax=12.28 +2025-11-04 13:27:36,836 ERROR: Encountered non-finite generator loss at iter 21938; skipping update. +2025-11-04 13:27:36,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:36,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:36,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.17, mean=-0.231, std=3.152, absmax=13.17 +2025-11-04 13:27:36,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=11.74, mean=-0.2189, std=2.828, absmax=13.31 +2025-11-04 13:27:37,196 ERROR: Encountered non-finite generator loss at iter 21939; skipping update. +2025-11-04 13:27:37,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:37,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.7, mean=-0.1758, std=2.727, absmax=13.92 +2025-11-04 13:27:37,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=10.38, mean=-0.1616, std=2.511, absmax=12.69 +2025-11-04 13:27:37,556 ERROR: Encountered non-finite generator loss at iter 21940; skipping update. +2025-11-04 13:27:37,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:37,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.9, mean=-0.1384, std=2.851, absmax=12.9 +2025-11-04 13:27:37,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=10.84, mean=-0.09403, std=2.701, absmax=10.84 +2025-11-04 13:27:37,917 ERROR: Encountered non-finite generator loss at iter 21941; skipping update. +2025-11-04 13:27:37,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:37,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:37,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.69, mean=-0.2535, std=3.007, absmax=12.69 +2025-11-04 13:27:37,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=11.93, mean=-0.2553, std=2.816, absmax=11.93 +2025-11-04 13:27:38,277 ERROR: Encountered non-finite generator loss at iter 21942; skipping update. +2025-11-04 13:27:38,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:38,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:38,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:38,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:38,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=10.18, mean=-0.3355, std=2.638, absmax=12.12 +2025-11-04 13:27:38,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=9.779, mean=-0.3143, std=2.44, absmax=10.6 +2025-11-04 13:27:38,637 ERROR: Encountered non-finite generator loss at iter 21943; skipping update. +2025-11-04 13:27:38,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:38,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:38,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:38,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:38,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.39, mean=-0.3406, std=3.15, absmax=12.68 +2025-11-04 13:27:38,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=9.803, mean=-0.3604, std=3.001, absmax=11.81 +2025-11-04 13:27:38,999 ERROR: Encountered non-finite generator loss at iter 21944; skipping update. +2025-11-04 13:27:39,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:39,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.82, max=12.58, mean=-0.0729, std=3.086, absmax=14.82 +2025-11-04 13:27:39,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=11.46, mean=-0.06828, std=2.779, absmax=11.46 +2025-11-04 13:27:39,360 ERROR: Encountered non-finite generator loss at iter 21945; skipping update. +2025-11-04 13:27:39,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:39,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=9.865, mean=-0.1791, std=2.596, absmax=13.01 +2025-11-04 13:27:39,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.182, mean=-0.1604, std=2.455, absmax=11.27 +2025-11-04 13:27:39,721 ERROR: Encountered non-finite generator loss at iter 21946; skipping update. +2025-11-04 13:27:39,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:39,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:39,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.66, mean=-0.04597, std=2.91, absmax=13.66 +2025-11-04 13:27:39,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.87, mean=-0.02561, std=2.737, absmax=11.87 +2025-11-04 13:27:40,081 ERROR: Encountered non-finite generator loss at iter 21947; skipping update. +2025-11-04 13:27:40,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:40,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=14.87, mean=-0.2229, std=3.15, absmax=14.87 +2025-11-04 13:27:40,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=12.72, mean=-0.2331, std=2.978, absmax=12.72 +2025-11-04 13:27:40,442 ERROR: Encountered non-finite generator loss at iter 21948; skipping update. +2025-11-04 13:27:40,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:40,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.57, mean=-0.09498, std=2.857, absmax=13.57 +2025-11-04 13:27:40,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.93, mean=-0.0622, std=2.682, absmax=11.93 +2025-11-04 13:27:40,803 ERROR: Encountered non-finite generator loss at iter 21949; skipping update. +2025-11-04 13:27:40,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:40,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:40,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.61, mean=-0.01963, std=2.914, absmax=12.13 +2025-11-04 13:27:40,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=11.33, mean=-0.03101, std=2.77, absmax=11.33 +2025-11-04 13:27:41,163 ERROR: Encountered non-finite generator loss at iter 21950; skipping update. +2025-11-04 13:27:41,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:41,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.59, mean=0.08159, std=3.174, absmax=12.91 +2025-11-04 13:27:41,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=12.54, mean=0.07636, std=2.846, absmax=12.54 +2025-11-04 13:27:41,523 ERROR: Encountered non-finite generator loss at iter 21951; skipping update. +2025-11-04 13:27:41,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:41,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.79, mean=-0.1159, std=2.696, absmax=11.92 +2025-11-04 13:27:41,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=10.98, mean=-0.09657, std=2.631, absmax=10.98 +2025-11-04 13:27:41,883 ERROR: Encountered non-finite generator loss at iter 21952; skipping update. +2025-11-04 13:27:41,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:41,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:41,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.23, mean=-0.2238, std=2.527, absmax=12.78 +2025-11-04 13:27:41,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=9.955, mean=-0.2234, std=2.299, absmax=11.03 +2025-11-04 13:27:42,243 ERROR: Encountered non-finite generator loss at iter 21953; skipping update. +2025-11-04 13:27:42,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:42,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.14, mean=-0.01114, std=3.699, absmax=14.14 +2025-11-04 13:27:42,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=13.47, mean=0.01372, std=3.44, absmax=13.47 +2025-11-04 13:27:42,604 ERROR: Encountered non-finite generator loss at iter 21954; skipping update. +2025-11-04 13:27:42,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:42,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.31, mean=-0.0145, std=3.237, absmax=12.31 +2025-11-04 13:27:42,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=12.34, mean=-0.04819, std=3.093, absmax=12.34 +2025-11-04 13:27:42,964 ERROR: Encountered non-finite generator loss at iter 21955; skipping update. +2025-11-04 13:27:42,965 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,966 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:42,966 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:42,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.17, mean=-0.1613, std=2.95, absmax=13.17 +2025-11-04 13:27:42,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=12.89, mean=-0.1456, std=2.855, absmax=12.89 +2025-11-04 13:27:43,324 ERROR: Encountered non-finite generator loss at iter 21956; skipping update. +2025-11-04 13:27:43,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:43,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:43,326 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:43,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:43,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=13.11, mean=0.03204, std=3.365, absmax=14.68 +2025-11-04 13:27:43,328 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=11.9, mean=-0.01616, std=3.141, absmax=11.9 +2025-11-04 13:27:43,684 ERROR: Encountered non-finite generator loss at iter 21957; skipping update. +2025-11-04 13:27:43,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:43,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:43,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:43,686 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:43,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=15.1, mean=-0.08818, std=2.97, absmax=15.1 +2025-11-04 13:27:43,687 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=14.39, mean=-0.07812, std=2.662, absmax=14.39 +2025-11-04 13:27:44,044 ERROR: Encountered non-finite generator loss at iter 21958; skipping update. +2025-11-04 13:27:44,045 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,046 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,046 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:44,047 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.24, mean=-0.2593, std=2.8, absmax=13.83 +2025-11-04 13:27:44,048 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=10.79, mean=-0.235, std=2.61, absmax=13.09 +2025-11-04 13:27:44,405 ERROR: Encountered non-finite generator loss at iter 21959; skipping update. +2025-11-04 13:27:44,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:44,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.66, max=13.54, mean=-0.103, std=3.032, absmax=16.66 +2025-11-04 13:27:44,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.72, max=11.04, mean=-0.05622, std=2.782, absmax=14.72 +2025-11-04 13:27:44,764 ERROR: Encountered non-finite generator loss at iter 21960; skipping update. +2025-11-04 13:27:44,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:44,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:44,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.34, mean=-0.3457, std=3.49, absmax=13.85 +2025-11-04 13:27:44,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=11.95, mean=-0.3002, std=3.178, absmax=13.02 +2025-11-04 13:27:45,125 ERROR: Encountered non-finite generator loss at iter 21961; skipping update. +2025-11-04 13:27:45,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,127 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:45,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=10.1, mean=-0.3139, std=2.411, absmax=11.17 +2025-11-04 13:27:45,128 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.81, max=9.708, mean=-0.3044, std=2.338, absmax=9.81 +2025-11-04 13:27:45,484 ERROR: Encountered non-finite generator loss at iter 21962; skipping update. +2025-11-04 13:27:45,485 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,486 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:45,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=14.81, mean=-0.3766, std=3.244, absmax=14.81 +2025-11-04 13:27:45,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.64, max=12.99, mean=-0.3533, std=3.048, absmax=13.64 +2025-11-04 13:27:45,844 ERROR: Encountered non-finite generator loss at iter 21963; skipping update. +2025-11-04 13:27:45,845 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,846 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:45,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:45,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.89, mean=-0.2447, std=3.057, absmax=13.89 +2025-11-04 13:27:45,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=12, mean=-0.2414, std=2.799, absmax=12.23 +2025-11-04 13:27:46,205 ERROR: Encountered non-finite generator loss at iter 21964; skipping update. +2025-11-04 13:27:46,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,207 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:46,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=14.37, mean=0.1791, std=3.715, absmax=14.37 +2025-11-04 13:27:46,208 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.62, max=13.73, mean=0.156, std=3.578, absmax=15.62 +2025-11-04 13:27:46,565 ERROR: Encountered non-finite generator loss at iter 21965; skipping update. +2025-11-04 13:27:46,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:46,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.21, mean=0.006549, std=3.447, absmax=14.21 +2025-11-04 13:27:46,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.13, mean=0.004369, std=3.058, absmax=12.13 +2025-11-04 13:27:46,925 ERROR: Encountered non-finite generator loss at iter 21966; skipping update. +2025-11-04 13:27:46,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:46,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:46,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.26, mean=-0.1872, std=2.627, absmax=13.26 +2025-11-04 13:27:46,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.73, mean=-0.166, std=2.379, absmax=11.73 +2025-11-04 13:27:47,285 ERROR: Encountered non-finite generator loss at iter 21967; skipping update. +2025-11-04 13:27:47,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:47,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:47,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:47,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:47,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=15.79, mean=0.09266, std=3.655, absmax=15.79 +2025-11-04 13:27:47,289 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=14.86, mean=0.07352, std=3.464, absmax=14.86 +2025-11-04 13:27:47,646 ERROR: Encountered non-finite generator loss at iter 21968; skipping update. +2025-11-04 13:27:47,647 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:47,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:47,648 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:47,648 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:47,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.32, mean=-0.1944, std=2.895, absmax=13.33 +2025-11-04 13:27:47,649 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.56, mean=-0.1073, std=2.838, absmax=11.69 +2025-11-04 13:27:48,006 ERROR: Encountered non-finite generator loss at iter 21969; skipping update. +2025-11-04 13:27:48,007 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,008 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,008 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:48,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.76, mean=0.07139, std=2.977, absmax=13.3 +2025-11-04 13:27:48,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.25, mean=0.06335, std=2.747, absmax=11.3 +2025-11-04 13:27:48,366 ERROR: Encountered non-finite generator loss at iter 21970; skipping update. +2025-11-04 13:27:48,367 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:48,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=17.65, mean=-0.1386, std=3.96, absmax=17.65 +2025-11-04 13:27:48,369 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=15.12, mean=-0.1783, std=3.701, absmax=15.12 +2025-11-04 13:27:48,726 ERROR: Encountered non-finite generator loss at iter 21971; skipping update. +2025-11-04 13:27:48,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:48,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:48,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.12, max=13.29, mean=-0.04698, std=2.446, absmax=13.29 +2025-11-04 13:27:48,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.562, max=11.31, mean=-0.03286, std=2.343, absmax=11.31 +2025-11-04 13:27:49,087 ERROR: Encountered non-finite generator loss at iter 21972; skipping update. +2025-11-04 13:27:49,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:49,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.32, max=16.75, mean=-0.3659, std=3.647, absmax=16.75 +2025-11-04 13:27:49,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.78, max=16.19, mean=-0.3268, std=3.304, absmax=16.19 +2025-11-04 13:27:49,448 ERROR: Encountered non-finite generator loss at iter 21973; skipping update. +2025-11-04 13:27:49,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:49,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.38, mean=-0.1313, std=3.039, absmax=14.38 +2025-11-04 13:27:49,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.43, mean=-0.1342, std=3.022, absmax=12.43 +2025-11-04 13:27:49,809 ERROR: Encountered non-finite generator loss at iter 21974; skipping update. +2025-11-04 13:27:49,810 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:49,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:49,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.21, mean=-0.1242, std=3.038, absmax=14.21 +2025-11-04 13:27:49,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=11.83, mean=-0.1332, std=2.766, absmax=11.88 +2025-11-04 13:27:50,168 ERROR: Encountered non-finite generator loss at iter 21975; skipping update. +2025-11-04 13:27:50,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:50,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=12.32, mean=-0.203, std=2.79, absmax=14.9 +2025-11-04 13:27:50,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=10.6, mean=-0.1807, std=2.771, absmax=12.12 +2025-11-04 13:27:50,529 ERROR: Encountered non-finite generator loss at iter 21976; skipping update. +2025-11-04 13:27:50,530 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,531 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,531 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:50,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=10.86, mean=-0.3713, std=3.052, absmax=12.58 +2025-11-04 13:27:50,532 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=9.201, mean=-0.4063, std=2.823, absmax=11.69 +2025-11-04 13:27:50,889 ERROR: Encountered non-finite generator loss at iter 21977; skipping update. +2025-11-04 13:27:50,890 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,891 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:50,891 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:50,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.99, mean=-0.1627, std=2.82, absmax=13.99 +2025-11-04 13:27:50,893 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.09, mean=-0.1448, std=2.557, absmax=12.09 +2025-11-04 13:27:51,249 ERROR: Encountered non-finite generator loss at iter 21978; skipping update. +2025-11-04 13:27:51,250 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,251 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,251 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:51,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.98, mean=-0.1107, std=3.406, absmax=14.98 +2025-11-04 13:27:51,253 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.58, max=13.85, mean=-0.1388, std=3.115, absmax=14.58 +2025-11-04 13:27:51,609 ERROR: Encountered non-finite generator loss at iter 21979; skipping update. +2025-11-04 13:27:51,611 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,612 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,612 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:51,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.44, mean=-0.2907, std=2.722, absmax=12.44 +2025-11-04 13:27:51,613 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=8.896, mean=-0.2636, std=2.504, absmax=11.4 +2025-11-04 13:27:51,970 ERROR: Encountered non-finite generator loss at iter 21980; skipping update. +2025-11-04 13:27:51,971 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:51,972 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:51,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.95, mean=-0.0526, std=3.045, absmax=13.95 +2025-11-04 13:27:51,973 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=12.3, mean=-0.02993, std=2.773, absmax=12.3 +2025-11-04 13:27:52,330 ERROR: Encountered non-finite generator loss at iter 21981; skipping update. +2025-11-04 13:27:52,331 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:52,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:52,332 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:52,332 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:52,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.24, mean=-0.1404, std=2.333, absmax=12.24 +2025-11-04 13:27:52,334 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=8.806, mean=-0.1222, std=2.077, absmax=10.12 +2025-11-04 13:27:52,691 ERROR: Encountered non-finite generator loss at iter 21982; skipping update. +2025-11-04 13:27:52,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:52,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:52,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:52,693 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:52,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.09, max=15.87, mean=-0.2265, std=2.997, absmax=15.87 +2025-11-04 13:27:52,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.81, mean=-0.2141, std=2.732, absmax=11.81 +2025-11-04 13:27:53,052 ERROR: Encountered non-finite generator loss at iter 21983; skipping update. +2025-11-04 13:27:53,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,054 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:53,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=17.23, mean=-0.2279, std=3.289, absmax=17.23 +2025-11-04 13:27:53,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=15.54, mean=-0.2421, std=3.111, absmax=15.54 +2025-11-04 13:27:53,413 ERROR: Encountered non-finite generator loss at iter 21984; skipping update. +2025-11-04 13:27:53,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:53,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.83, mean=0.02123, std=2.952, absmax=13.91 +2025-11-04 13:27:53,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=11.06, mean=0.0105, std=2.748, absmax=12.87 +2025-11-04 13:27:53,773 ERROR: Encountered non-finite generator loss at iter 21985; skipping update. +2025-11-04 13:27:53,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:53,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:53,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.82, mean=0.1338, std=3.587, absmax=13.82 +2025-11-04 13:27:53,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=12.83, mean=0.1482, std=3.237, absmax=12.83 +2025-11-04 13:27:54,133 ERROR: Encountered non-finite generator loss at iter 21986; skipping update. +2025-11-04 13:27:54,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:54,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=17.96, mean=-0.1381, std=3.473, absmax=17.96 +2025-11-04 13:27:54,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=14.83, mean=-0.196, std=3.134, absmax=14.83 +2025-11-04 13:27:54,494 ERROR: Encountered non-finite generator loss at iter 21987; skipping update. +2025-11-04 13:27:54,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:54,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.32, mean=-0.2544, std=3.287, absmax=13.59 +2025-11-04 13:27:54,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.08, mean=-0.2541, std=3.093, absmax=12.52 +2025-11-04 13:27:54,854 ERROR: Encountered non-finite generator loss at iter 21988; skipping update. +2025-11-04 13:27:54,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:54,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:54,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=11.33, mean=0.0263, std=2.841, absmax=11.33 +2025-11-04 13:27:54,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.034, max=11.78, mean=0.0479, std=2.734, absmax=11.78 +2025-11-04 13:27:55,214 ERROR: Encountered non-finite generator loss at iter 21989; skipping update. +2025-11-04 13:27:55,215 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,216 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,216 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:55,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.95, mean=-0.2694, std=2.597, absmax=12.35 +2025-11-04 13:27:55,218 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=9.63, mean=-0.2608, std=2.395, absmax=10.72 +2025-11-04 13:27:55,575 ERROR: Encountered non-finite generator loss at iter 21990; skipping update. +2025-11-04 13:27:55,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,577 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:55,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=10.7, mean=-0.2481, std=2.89, absmax=12.18 +2025-11-04 13:27:55,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=9.215, mean=-0.2479, std=2.726, absmax=11.06 +2025-11-04 13:27:55,935 ERROR: Encountered non-finite generator loss at iter 21991; skipping update. +2025-11-04 13:27:55,936 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:55,937 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:55,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.13, mean=-0.1634, std=2.484, absmax=12.13 +2025-11-04 13:27:55,938 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=11.13, mean=-0.2057, std=2.361, absmax=11.13 +2025-11-04 13:27:56,296 ERROR: Encountered non-finite generator loss at iter 21992; skipping update. +2025-11-04 13:27:56,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:56,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:56,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:56,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:56,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=15.25, mean=0.07302, std=3.547, absmax=15.25 +2025-11-04 13:27:56,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.71, max=13.2, mean=0.07085, std=3.345, absmax=13.71 +2025-11-04 13:27:56,656 ERROR: Encountered non-finite generator loss at iter 21993; skipping update. +2025-11-04 13:27:56,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:56,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:56,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:56,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:56,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.92, max=11.77, mean=-0.2866, std=3.363, absmax=15.92 +2025-11-04 13:27:56,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.17, max=10.61, mean=-0.2938, std=3.124, absmax=14.17 +2025-11-04 13:27:57,016 ERROR: Encountered non-finite generator loss at iter 21994; skipping update. +2025-11-04 13:27:57,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:57,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.63, mean=-0.1235, std=3.758, absmax=14.63 +2025-11-04 13:27:57,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=13.06, mean=-0.1277, std=3.506, absmax=13.06 +2025-11-04 13:27:57,376 ERROR: Encountered non-finite generator loss at iter 21995; skipping update. +2025-11-04 13:27:57,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:57,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.93, max=11.88, mean=-0.1781, std=2.886, absmax=15.93 +2025-11-04 13:27:57,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.78, max=10.63, mean=-0.1514, std=2.654, absmax=14.78 +2025-11-04 13:27:57,736 ERROR: Encountered non-finite generator loss at iter 21996; skipping update. +2025-11-04 13:27:57,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:57,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:57,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.78, mean=-0.2233, std=2.787, absmax=13.78 +2025-11-04 13:27:57,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=11.48, mean=-0.2183, std=2.488, absmax=11.48 +2025-11-04 13:27:58,097 ERROR: Encountered non-finite generator loss at iter 21997; skipping update. +2025-11-04 13:27:58,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:58,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.06, mean=-0.2752, std=2.845, absmax=12.06 +2025-11-04 13:27:58,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.16, mean=-0.2244, std=2.699, absmax=10.99 +2025-11-04 13:27:58,457 ERROR: Encountered non-finite generator loss at iter 21998; skipping update. +2025-11-04 13:27:58,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:58,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=10.77, mean=-0.1927, std=2.433, absmax=11.98 +2025-11-04 13:27:58,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=8.051, mean=-0.1854, std=2.287, absmax=11.92 +2025-11-04 13:27:58,818 ERROR: Encountered non-finite generator loss at iter 21999; skipping update. +2025-11-04 13:27:58,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:58,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:58,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=14.41, mean=-0.2072, std=2.748, absmax=14.41 +2025-11-04 13:27:58,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=11.19, mean=-0.2097, std=2.468, absmax=11.19 +2025-11-04 13:27:59,178 ERROR: Encountered non-finite generator loss at iter 22000; skipping update. +2025-11-04 13:27:59,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:59,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=11.84, mean=-0.09423, std=2.798, absmax=12.75 +2025-11-04 13:27:59,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=10.48, mean=-0.1087, std=2.668, absmax=12.22 +2025-11-04 13:27:59,182 INFO: [38..][epoch: 0, step: 22,000, lr:(2.000e-04,)] [eta: 1 day, 6:19:58, time (data): 0.360 (0.000)] +2025-11-04 13:27:59,539 ERROR: Encountered non-finite generator loss at iter 22001; skipping update. +2025-11-04 13:27:59,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:59,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.12, mean=-0.09598, std=2.816, absmax=13.85 +2025-11-04 13:27:59,542 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.9, mean=-0.08002, std=2.643, absmax=11.9 +2025-11-04 13:27:59,899 ERROR: Encountered non-finite generator loss at iter 22002; skipping update. +2025-11-04 13:27:59,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,901 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:27:59,902 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:27:59,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=14.17, mean=-0.02665, std=2.894, absmax=14.17 +2025-11-04 13:27:59,903 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=11.3, mean=0.02077, std=2.696, absmax=12.89 +2025-11-04 13:28:00,259 ERROR: Encountered non-finite generator loss at iter 22003; skipping update. +2025-11-04 13:28:00,260 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,261 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,261 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:00,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.94, mean=-0.2545, std=3.064, absmax=12.34 +2025-11-04 13:28:00,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.15, mean=-0.2818, std=2.827, absmax=11.91 +2025-11-04 13:28:00,622 ERROR: Encountered non-finite generator loss at iter 22004; skipping update. +2025-11-04 13:28:00,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:00,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.47, mean=0.03618, std=3.197, absmax=13.47 +2025-11-04 13:28:00,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.13, mean=0.003964, std=2.87, absmax=12.13 +2025-11-04 13:28:00,982 ERROR: Encountered non-finite generator loss at iter 22005; skipping update. +2025-11-04 13:28:00,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:00,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:00,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.46, mean=-0.1991, std=2.947, absmax=12.46 +2025-11-04 13:28:00,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=12.43, mean=-0.148, std=2.845, absmax=12.43 +2025-11-04 13:28:01,343 ERROR: Encountered non-finite generator loss at iter 22006; skipping update. +2025-11-04 13:28:01,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:01,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:01,345 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:01,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:01,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.92, mean=-0.1868, std=3.309, absmax=14.04 +2025-11-04 13:28:01,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=12.73, mean=-0.1726, std=3.036, absmax=13.07 +2025-11-04 13:28:01,703 ERROR: Encountered non-finite generator loss at iter 22007; skipping update. +2025-11-04 13:28:01,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:01,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:01,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:01,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:01,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=14.05, mean=-0.06516, std=2.881, absmax=14.05 +2025-11-04 13:28:01,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=13.09, mean=-0.04369, std=2.683, absmax=13.09 +2025-11-04 13:28:02,063 ERROR: Encountered non-finite generator loss at iter 22008; skipping update. +2025-11-04 13:28:02,064 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:02,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=13.54, mean=-0.3157, std=3.341, absmax=14.18 +2025-11-04 13:28:02,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=10.75, mean=-0.2796, std=3.042, absmax=12.83 +2025-11-04 13:28:02,424 ERROR: Encountered non-finite generator loss at iter 22009; skipping update. +2025-11-04 13:28:02,424 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,425 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,425 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:02,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.48, mean=-0.1575, std=2.442, absmax=12.48 +2025-11-04 13:28:02,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.992, max=9.653, mean=-0.1449, std=2.303, absmax=9.992 +2025-11-04 13:28:02,783 ERROR: Encountered non-finite generator loss at iter 22010; skipping update. +2025-11-04 13:28:02,784 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,785 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:02,785 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:02,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=18.72, mean=-0.02263, std=2.837, absmax=18.72 +2025-11-04 13:28:02,786 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=15.62, mean=-0.01445, std=2.638, absmax=15.62 +2025-11-04 13:28:03,143 ERROR: Encountered non-finite generator loss at iter 22011; skipping update. +2025-11-04 13:28:03,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:03,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=15.55, mean=-0.1161, std=3.206, absmax=15.55 +2025-11-04 13:28:03,147 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.56, max=13.86, mean=-0.09892, std=2.966, absmax=13.86 +2025-11-04 13:28:03,504 ERROR: Encountered non-finite generator loss at iter 22012; skipping update. +2025-11-04 13:28:03,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,507 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:03,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.89, mean=-0.1722, std=2.537, absmax=12.88 +2025-11-04 13:28:03,508 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=12.14, mean=-0.1895, std=2.39, absmax=12.14 +2025-11-04 13:28:03,865 ERROR: Encountered non-finite generator loss at iter 22013; skipping update. +2025-11-04 13:28:03,866 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,867 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:03,867 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:03,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=11.69, mean=-0.3058, std=3.158, absmax=14.77 +2025-11-04 13:28:03,868 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=10.25, mean=-0.2855, std=3.013, absmax=12.97 +2025-11-04 13:28:04,225 ERROR: Encountered non-finite generator loss at iter 22014; skipping update. +2025-11-04 13:28:04,226 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,227 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,228 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:04,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.5, max=13.32, mean=-0.3007, std=2.82, absmax=16.5 +2025-11-04 13:28:04,229 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.24, mean=-0.3023, std=2.627, absmax=12.18 +2025-11-04 13:28:04,585 ERROR: Encountered non-finite generator loss at iter 22015; skipping update. +2025-11-04 13:28:04,586 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,587 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,587 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:04,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.96, mean=-0.2209, std=2.992, absmax=13.96 +2025-11-04 13:28:04,588 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=13.21, mean=-0.1884, std=2.769, absmax=13.21 +2025-11-04 13:28:04,945 ERROR: Encountered non-finite generator loss at iter 22016; skipping update. +2025-11-04 13:28:04,946 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,947 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:04,947 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:04,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.33, mean=-0.2689, std=3.121, absmax=12.98 +2025-11-04 13:28:04,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.01, mean=-0.2514, std=2.879, absmax=12.22 +2025-11-04 13:28:05,305 ERROR: Encountered non-finite generator loss at iter 22017; skipping update. +2025-11-04 13:28:05,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:05,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:05,307 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:05,307 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:05,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.15, mean=0.1587, std=3.68, absmax=13.78 +2025-11-04 13:28:05,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=13.38, mean=0.1425, std=3.534, absmax=13.38 +2025-11-04 13:28:05,664 ERROR: Encountered non-finite generator loss at iter 22018; skipping update. +2025-11-04 13:28:05,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:05,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:05,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:05,667 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:05,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.21, mean=-0.09843, std=3.132, absmax=13.21 +2025-11-04 13:28:05,668 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=13.23, mean=-0.1259, std=2.907, absmax=13.23 +2025-11-04 13:28:06,025 ERROR: Encountered non-finite generator loss at iter 22019; skipping update. +2025-11-04 13:28:06,026 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,027 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:06,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.57, max=11.5, mean=-0.2294, std=2.381, absmax=11.5 +2025-11-04 13:28:06,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.988, max=9.883, mean=-0.2191, std=2.245, absmax=9.988 +2025-11-04 13:28:06,384 ERROR: Encountered non-finite generator loss at iter 22020; skipping update. +2025-11-04 13:28:06,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:06,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=11.18, mean=-0.09729, std=2.907, absmax=11.18 +2025-11-04 13:28:06,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=10.62, mean=-0.07909, std=2.75, absmax=10.62 +2025-11-04 13:28:06,743 ERROR: Encountered non-finite generator loss at iter 22021; skipping update. +2025-11-04 13:28:06,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:06,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:06,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=17.95, mean=-0.266, std=2.675, absmax=17.95 +2025-11-04 13:28:06,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=16.27, mean=-0.2508, std=2.399, absmax=16.27 +2025-11-04 13:28:07,103 ERROR: Encountered non-finite generator loss at iter 22022; skipping update. +2025-11-04 13:28:07,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:07,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.11, max=16.89, mean=0.05048, std=3.599, absmax=18.11 +2025-11-04 13:28:07,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.51, max=14.6, mean=0.03117, std=3.293, absmax=15.51 +2025-11-04 13:28:07,464 ERROR: Encountered non-finite generator loss at iter 22023; skipping update. +2025-11-04 13:28:07,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:07,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.09, mean=0.1094, std=2.868, absmax=13.09 +2025-11-04 13:28:07,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=11.54, mean=0.119, std=2.729, absmax=11.54 +2025-11-04 13:28:07,824 ERROR: Encountered non-finite generator loss at iter 22024; skipping update. +2025-11-04 13:28:07,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:07,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:07,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.51, mean=-0.08999, std=3.057, absmax=13.51 +2025-11-04 13:28:07,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=11.67, mean=-0.0736, std=2.823, absmax=11.67 +2025-11-04 13:28:08,184 ERROR: Encountered non-finite generator loss at iter 22025; skipping update. +2025-11-04 13:28:08,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:08,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.37, mean=0.1973, std=3.738, absmax=14.06 +2025-11-04 13:28:08,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=11.92, mean=0.1634, std=3.515, absmax=13.41 +2025-11-04 13:28:08,545 ERROR: Encountered non-finite generator loss at iter 22026; skipping update. +2025-11-04 13:28:08,546 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,547 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:08,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.38, mean=-0.3247, std=3.281, absmax=13.38 +2025-11-04 13:28:08,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=11.54, mean=-0.2941, std=3.086, absmax=13.19 +2025-11-04 13:28:08,904 ERROR: Encountered non-finite generator loss at iter 22027; skipping update. +2025-11-04 13:28:08,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:08,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:08,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.15, mean=-0.04081, std=3.043, absmax=14.15 +2025-11-04 13:28:08,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=13.52, mean=-0.05621, std=2.861, absmax=13.52 +2025-11-04 13:28:09,264 ERROR: Encountered non-finite generator loss at iter 22028; skipping update. +2025-11-04 13:28:09,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:09,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.31, mean=-0.2414, std=2.508, absmax=14.31 +2025-11-04 13:28:09,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=12.89, mean=-0.2128, std=2.483, absmax=12.89 +2025-11-04 13:28:09,625 ERROR: Encountered non-finite generator loss at iter 22029; skipping update. +2025-11-04 13:28:09,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:09,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.36, mean=-0.2707, std=3.098, absmax=13.97 +2025-11-04 13:28:09,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=9.373, mean=-0.2227, std=2.893, absmax=12.63 +2025-11-04 13:28:09,985 ERROR: Encountered non-finite generator loss at iter 22030; skipping update. +2025-11-04 13:28:09,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,986 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:09,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:09,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.2, mean=-0.2957, std=2.83, absmax=13.23 +2025-11-04 13:28:09,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=10.07, mean=-0.247, std=2.683, absmax=10.89 +2025-11-04 13:28:10,344 ERROR: Encountered non-finite generator loss at iter 22031; skipping update. +2025-11-04 13:28:10,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:10,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:10,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:10,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:10,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.38, mean=-0.1375, std=2.931, absmax=14.38 +2025-11-04 13:28:10,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=14.87, mean=-0.09268, std=2.792, absmax=14.87 +2025-11-04 13:28:10,704 ERROR: Encountered non-finite generator loss at iter 22032; skipping update. +2025-11-04 13:28:10,705 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:10,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:10,706 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:10,707 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:10,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=11.3, mean=-0.1537, std=2.455, absmax=11.3 +2025-11-04 13:28:10,708 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=9.35, mean=-0.1544, std=2.374, absmax=10.32 +2025-11-04 13:28:11,063 ERROR: Encountered non-finite generator loss at iter 22033; skipping update. +2025-11-04 13:28:11,064 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,065 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:11,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=14.1, mean=-0.0769, std=3.602, absmax=14.1 +2025-11-04 13:28:11,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=13.86, mean=0.02093, std=3.545, absmax=13.86 +2025-11-04 13:28:11,424 ERROR: Encountered non-finite generator loss at iter 22034; skipping update. +2025-11-04 13:28:11,425 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:11,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=12.1, mean=-0.2751, std=3.176, absmax=13.8 +2025-11-04 13:28:11,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.03, mean=-0.2882, std=2.892, absmax=12.18 +2025-11-04 13:28:11,784 ERROR: Encountered non-finite generator loss at iter 22035; skipping update. +2025-11-04 13:28:11,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,785 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:11,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:11,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.29, mean=-0.1671, std=3.222, absmax=12.68 +2025-11-04 13:28:11,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=9.965, mean=-0.1873, std=2.866, absmax=11.39 +2025-11-04 13:28:12,143 ERROR: Encountered non-finite generator loss at iter 22036; skipping update. +2025-11-04 13:28:12,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,145 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:12,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.28, mean=-0.1864, std=2.85, absmax=13.28 +2025-11-04 13:28:12,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.1, mean=-0.1628, std=2.708, absmax=10.51 +2025-11-04 13:28:12,503 ERROR: Encountered non-finite generator loss at iter 22037; skipping update. +2025-11-04 13:28:12,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:12,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=14.25, mean=-0.03511, std=2.653, absmax=14.25 +2025-11-04 13:28:12,506 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=13.02, mean=-0.03125, std=2.477, absmax=13.02 +2025-11-04 13:28:12,862 ERROR: Encountered non-finite generator loss at iter 22038; skipping update. +2025-11-04 13:28:12,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:12,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:12,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.82, mean=-0.1575, std=3.205, absmax=13.82 +2025-11-04 13:28:12,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=13.07, mean=-0.1479, std=2.947, absmax=13.07 +2025-11-04 13:28:13,222 ERROR: Encountered non-finite generator loss at iter 22039; skipping update. +2025-11-04 13:28:13,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:13,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=12.68, mean=-0.1995, std=2.871, absmax=12.68 +2025-11-04 13:28:13,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=10.81, mean=-0.1657, std=2.733, absmax=10.81 +2025-11-04 13:28:13,582 ERROR: Encountered non-finite generator loss at iter 22040; skipping update. +2025-11-04 13:28:13,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,584 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:13,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=18.2, mean=-0.09338, std=3.613, absmax=18.2 +2025-11-04 13:28:13,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.16, max=13.57, mean=-0.0649, std=3.545, absmax=15.16 +2025-11-04 13:28:13,942 ERROR: Encountered non-finite generator loss at iter 22041; skipping update. +2025-11-04 13:28:13,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,944 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:13,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:13,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=11.87, mean=-0.1062, std=2.77, absmax=13.37 +2025-11-04 13:28:13,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.34, mean=-0.1039, std=2.6, absmax=11.34 +2025-11-04 13:28:14,302 ERROR: Encountered non-finite generator loss at iter 22042; skipping update. +2025-11-04 13:28:14,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:14,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:14,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:14,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:14,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.21, mean=0.1445, std=3.231, absmax=13.5 +2025-11-04 13:28:14,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=11.03, mean=0.1562, std=2.991, absmax=11.44 +2025-11-04 13:28:14,662 ERROR: Encountered non-finite generator loss at iter 22043; skipping update. +2025-11-04 13:28:14,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:14,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:14,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:14,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:14,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=15.97, mean=-0.004325, std=2.866, absmax=15.97 +2025-11-04 13:28:14,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=15.07, mean=-0.05679, std=2.691, absmax=15.07 +2025-11-04 13:28:15,022 ERROR: Encountered non-finite generator loss at iter 22044; skipping update. +2025-11-04 13:28:15,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:15,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.15, mean=-0.1184, std=3.136, absmax=13.33 +2025-11-04 13:28:15,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=10.6, mean=-0.1014, std=2.934, absmax=12.43 +2025-11-04 13:28:15,382 ERROR: Encountered non-finite generator loss at iter 22045; skipping update. +2025-11-04 13:28:15,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:15,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=11.42, mean=-0.2048, std=2.399, absmax=12.46 +2025-11-04 13:28:15,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=10.46, mean=-0.2075, std=2.324, absmax=12.12 +2025-11-04 13:28:15,742 ERROR: Encountered non-finite generator loss at iter 22046; skipping update. +2025-11-04 13:28:15,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,743 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:15,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:15,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.69, max=16.99, mean=-0.07743, std=3.354, absmax=16.99 +2025-11-04 13:28:15,745 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.77, max=14.34, mean=-0.0707, std=3.01, absmax=14.34 +2025-11-04 13:28:16,102 ERROR: Encountered non-finite generator loss at iter 22047; skipping update. +2025-11-04 13:28:16,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,104 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:16,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=14.24, mean=-0.1548, std=3.588, absmax=14.24 +2025-11-04 13:28:16,105 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.2, max=13.27, mean=-0.1906, std=3.279, absmax=13.27 +2025-11-04 13:28:16,461 ERROR: Encountered non-finite generator loss at iter 22048; skipping update. +2025-11-04 13:28:16,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,464 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:16,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=14.31, mean=-0.2147, std=3.431, absmax=14.78 +2025-11-04 13:28:16,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=12.74, mean=-0.2149, std=3.156, absmax=13.36 +2025-11-04 13:28:16,822 ERROR: Encountered non-finite generator loss at iter 22049; skipping update. +2025-11-04 13:28:16,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:16,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:16,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.62, mean=-0.1789, std=2.566, absmax=12.62 +2025-11-04 13:28:16,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=10.36, mean=-0.1418, std=2.391, absmax=10.45 +2025-11-04 13:28:17,181 ERROR: Encountered non-finite generator loss at iter 22050; skipping update. +2025-11-04 13:28:17,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,182 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:17,183 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=12.79, mean=-0.1448, std=2.796, absmax=12.79 +2025-11-04 13:28:17,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=10.92, mean=-0.1297, std=2.604, absmax=10.92 +2025-11-04 13:28:17,540 ERROR: Encountered non-finite generator loss at iter 22051; skipping update. +2025-11-04 13:28:17,541 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,542 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,542 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:17,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.83, mean=-0.09277, std=3.006, absmax=12.51 +2025-11-04 13:28:17,543 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=11.29, mean=-0.09673, std=2.804, absmax=11.29 +2025-11-04 13:28:17,900 ERROR: Encountered non-finite generator loss at iter 22052; skipping update. +2025-11-04 13:28:17,901 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,902 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:17,902 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:17,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.01, mean=-0.2209, std=2.901, absmax=13.4 +2025-11-04 13:28:17,903 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.83, mean=-0.2204, std=2.671, absmax=11.83 +2025-11-04 13:28:18,259 ERROR: Encountered non-finite generator loss at iter 22053; skipping update. +2025-11-04 13:28:18,261 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,261 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,262 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:18,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.6, max=9.943, mean=-0.05924, std=2.295, absmax=10.6 +2025-11-04 13:28:18,263 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.166, max=8.552, mean=-0.07304, std=2.211, absmax=9.166 +2025-11-04 13:28:18,619 ERROR: Encountered non-finite generator loss at iter 22054; skipping update. +2025-11-04 13:28:18,620 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,621 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,622 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:18,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.09, mean=-0.142, std=2.858, absmax=13.09 +2025-11-04 13:28:18,623 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.98, mean=-0.1426, std=2.593, absmax=11.98 +2025-11-04 13:28:18,979 ERROR: Encountered non-finite generator loss at iter 22055; skipping update. +2025-11-04 13:28:18,980 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,981 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:18,981 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:18,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.02, mean=-0.2048, std=2.593, absmax=12.02 +2025-11-04 13:28:18,982 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.15, mean=-0.152, std=2.619, absmax=11.9 +2025-11-04 13:28:19,339 ERROR: Encountered non-finite generator loss at iter 22056; skipping update. +2025-11-04 13:28:19,340 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:19,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:19,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:19,341 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:19,341 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.42, mean=-0.1937, std=2.79, absmax=12.65 +2025-11-04 13:28:19,342 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.48, mean=-0.1956, std=2.631, absmax=12.48 +2025-11-04 13:28:19,699 ERROR: Encountered non-finite generator loss at iter 22057; skipping update. +2025-11-04 13:28:19,700 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:19,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:19,701 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:19,701 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:19,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=10.71, mean=-0.1898, std=2.916, absmax=13.11 +2025-11-04 13:28:19,702 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=10.71, mean=-0.2133, std=2.694, absmax=11.96 +2025-11-04 13:28:20,058 ERROR: Encountered non-finite generator loss at iter 22058; skipping update. +2025-11-04 13:28:20,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:20,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=15.68, mean=-0.004467, std=3.47, absmax=15.68 +2025-11-04 13:28:20,062 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=14.89, mean=0.02418, std=3.221, absmax=14.89 +2025-11-04 13:28:20,419 ERROR: Encountered non-finite generator loss at iter 22059; skipping update. +2025-11-04 13:28:20,420 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,420 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,421 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:20,421 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.67, mean=-0.00558, std=3.071, absmax=13.67 +2025-11-04 13:28:20,422 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=11.85, mean=0.04232, std=2.859, absmax=11.85 +2025-11-04 13:28:20,778 ERROR: Encountered non-finite generator loss at iter 22060; skipping update. +2025-11-04 13:28:20,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:20,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:20,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=14.21, mean=0.09525, std=3.256, absmax=14.54 +2025-11-04 13:28:20,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=13.88, mean=0.08563, std=3.102, absmax=13.88 +2025-11-04 13:28:21,138 ERROR: Encountered non-finite generator loss at iter 22061; skipping update. +2025-11-04 13:28:21,139 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,140 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:21,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.75, mean=-0.2468, std=2.83, absmax=12.85 +2025-11-04 13:28:21,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.84, mean=-0.2562, std=2.624, absmax=12.22 +2025-11-04 13:28:21,498 ERROR: Encountered non-finite generator loss at iter 22062; skipping update. +2025-11-04 13:28:21,500 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,501 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,501 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:21,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=13.42, mean=-0.2951, std=2.911, absmax=13.42 +2025-11-04 13:28:21,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=10.86, mean=-0.2517, std=2.723, absmax=11.08 +2025-11-04 13:28:21,859 ERROR: Encountered non-finite generator loss at iter 22063; skipping update. +2025-11-04 13:28:21,860 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,861 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:21,862 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:21,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.76, mean=-0.1812, std=3.105, absmax=14.1 +2025-11-04 13:28:21,863 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=11.67, mean=-0.1633, std=2.821, absmax=12.04 +2025-11-04 13:28:22,219 ERROR: Encountered non-finite generator loss at iter 22064; skipping update. +2025-11-04 13:28:22,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,220 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:22,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=14.74, mean=0.03614, std=3.497, absmax=14.74 +2025-11-04 13:28:22,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=14.2, mean=0.05652, std=3.263, absmax=14.2 +2025-11-04 13:28:22,578 ERROR: Encountered non-finite generator loss at iter 22065; skipping update. +2025-11-04 13:28:22,579 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,580 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,580 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:22,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=12.9, mean=-0.2728, std=3.394, absmax=15.29 +2025-11-04 13:28:22,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=11.19, mean=-0.2721, std=3.244, absmax=13.85 +2025-11-04 13:28:22,938 ERROR: Encountered non-finite generator loss at iter 22066; skipping update. +2025-11-04 13:28:22,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,940 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:22,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:22,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.23, mean=-0.2253, std=2.972, absmax=14.26 +2025-11-04 13:28:22,942 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=12.26, mean=-0.2493, std=2.897, absmax=12.29 +2025-11-04 13:28:23,298 ERROR: Encountered non-finite generator loss at iter 22067; skipping update. +2025-11-04 13:28:23,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:23,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:23,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:23,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:23,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=12.66, mean=-0.3774, std=2.619, absmax=12.66 +2025-11-04 13:28:23,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.56, mean=-0.3584, std=2.524, absmax=11.56 +2025-11-04 13:28:23,657 ERROR: Encountered non-finite generator loss at iter 22068; skipping update. +2025-11-04 13:28:23,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:23,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:23,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:23,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:23,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.85, mean=-0.2974, std=3.536, absmax=14.01 +2025-11-04 13:28:23,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.01, max=10.52, mean=-0.2658, std=3.259, absmax=14.01 +2025-11-04 13:28:24,017 ERROR: Encountered non-finite generator loss at iter 22069; skipping update. +2025-11-04 13:28:24,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:24,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.83, mean=-0.1974, std=3.34, absmax=13.85 +2025-11-04 13:28:24,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.64, mean=-0.1797, std=3.195, absmax=12.58 +2025-11-04 13:28:24,377 ERROR: Encountered non-finite generator loss at iter 22070; skipping update. +2025-11-04 13:28:24,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:24,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=17.87, mean=-0.2359, std=3.177, absmax=17.87 +2025-11-04 13:28:24,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=15.41, mean=-0.2038, std=2.87, absmax=15.41 +2025-11-04 13:28:24,737 ERROR: Encountered non-finite generator loss at iter 22071; skipping update. +2025-11-04 13:28:24,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:24,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:24,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.27, max=11.56, mean=-0.05457, std=2.625, absmax=11.56 +2025-11-04 13:28:24,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.45, mean=-0.1591, std=2.545, absmax=10.96 +2025-11-04 13:28:25,096 ERROR: Encountered non-finite generator loss at iter 22072; skipping update. +2025-11-04 13:28:25,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:25,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=11.63, mean=-0.2097, std=2.585, absmax=11.63 +2025-11-04 13:28:25,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=10.31, mean=-0.247, std=2.46, absmax=10.73 +2025-11-04 13:28:25,455 ERROR: Encountered non-finite generator loss at iter 22073; skipping update. +2025-11-04 13:28:25,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:25,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.95, mean=-0.1257, std=2.883, absmax=12.95 +2025-11-04 13:28:25,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=12.49, mean=-0.1357, std=2.783, absmax=12.49 +2025-11-04 13:28:25,815 ERROR: Encountered non-finite generator loss at iter 22074; skipping update. +2025-11-04 13:28:25,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:25,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:25,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.5, mean=-0.03861, std=3.213, absmax=13.92 +2025-11-04 13:28:25,819 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=12.68, mean=-0.06883, std=3.179, absmax=13.47 +2025-11-04 13:28:26,175 ERROR: Encountered non-finite generator loss at iter 22075; skipping update. +2025-11-04 13:28:26,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,177 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:26,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.24, mean=-0.0982, std=3.861, absmax=14.24 +2025-11-04 13:28:26,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=13.71, mean=-0.1201, std=3.73, absmax=13.71 +2025-11-04 13:28:26,535 ERROR: Encountered non-finite generator loss at iter 22076; skipping update. +2025-11-04 13:28:26,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:26,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=10.38, mean=-0.2263, std=2.928, absmax=13.12 +2025-11-04 13:28:26,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.07, mean=-0.2156, std=2.665, absmax=12.02 +2025-11-04 13:28:26,895 ERROR: Encountered non-finite generator loss at iter 22077; skipping update. +2025-11-04 13:28:26,896 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,897 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,897 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:26,897 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:26,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=14.21, mean=-0.1378, std=3.58, absmax=14.42 +2025-11-04 13:28:26,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=13.72, mean=-0.1291, std=3.379, absmax=13.72 +2025-11-04 13:28:27,255 ERROR: Encountered non-finite generator loss at iter 22078; skipping update. +2025-11-04 13:28:27,256 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,257 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:27,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=15.03, mean=0.05326, std=3.646, absmax=15.03 +2025-11-04 13:28:27,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.943, max=14.6, mean=0.04606, std=3.457, absmax=14.6 +2025-11-04 13:28:27,615 ERROR: Encountered non-finite generator loss at iter 22079; skipping update. +2025-11-04 13:28:27,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:27,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=10.82, mean=-0.3296, std=2.83, absmax=12.14 +2025-11-04 13:28:27,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=9.805, mean=-0.2971, std=2.627, absmax=11.43 +2025-11-04 13:28:27,974 ERROR: Encountered non-finite generator loss at iter 22080; skipping update. +2025-11-04 13:28:27,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:27,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:27,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=13.31, mean=-0.2709, std=2.915, absmax=13.31 +2025-11-04 13:28:27,978 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=12.41, mean=-0.2511, std=2.846, absmax=12.41 +2025-11-04 13:28:28,334 ERROR: Encountered non-finite generator loss at iter 22081; skipping update. +2025-11-04 13:28:28,335 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:28,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:28,336 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:28,337 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:28,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.41, max=15.61, mean=-0.1135, std=3.539, absmax=16.41 +2025-11-04 13:28:28,338 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=14.82, mean=-0.09545, std=3.265, absmax=14.82 +2025-11-04 13:28:28,694 ERROR: Encountered non-finite generator loss at iter 22082; skipping update. +2025-11-04 13:28:28,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:28,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:28,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:28,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:28,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=9.172, mean=-0.1471, std=2.536, absmax=11.66 +2025-11-04 13:28:28,698 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.853, max=8.552, mean=-0.1258, std=2.366, absmax=9.853 +2025-11-04 13:28:29,054 ERROR: Encountered non-finite generator loss at iter 22083; skipping update. +2025-11-04 13:28:29,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:29,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.92, mean=-0.213, std=3.01, absmax=13.92 +2025-11-04 13:28:29,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=10.65, mean=-0.1753, std=2.848, absmax=12.28 +2025-11-04 13:28:29,413 ERROR: Encountered non-finite generator loss at iter 22084; skipping update. +2025-11-04 13:28:29,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:29,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.94, max=12.32, mean=-0.04538, std=2.917, absmax=15.94 +2025-11-04 13:28:29,417 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.85, mean=-0.02319, std=2.73, absmax=12.37 +2025-11-04 13:28:29,773 ERROR: Encountered non-finite generator loss at iter 22085; skipping update. +2025-11-04 13:28:29,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:29,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:29,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=16.12, mean=-0.09142, std=3.363, absmax=16.12 +2025-11-04 13:28:29,777 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=15.4, mean=-0.06764, std=3.166, absmax=15.4 +2025-11-04 13:28:30,133 ERROR: Encountered non-finite generator loss at iter 22086; skipping update. +2025-11-04 13:28:30,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:30,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=15.52, mean=0.2634, std=3.999, absmax=15.52 +2025-11-04 13:28:30,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=14.02, mean=0.2321, std=3.64, absmax=14.02 +2025-11-04 13:28:30,492 ERROR: Encountered non-finite generator loss at iter 22087; skipping update. +2025-11-04 13:28:30,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:30,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.14, mean=-0.08056, std=3.16, absmax=14.14 +2025-11-04 13:28:30,496 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=13.43, mean=-0.07615, std=2.889, absmax=13.43 +2025-11-04 13:28:30,852 ERROR: Encountered non-finite generator loss at iter 22088; skipping update. +2025-11-04 13:28:30,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:30,855 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:30,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=13.12, mean=-0.4155, std=3.128, absmax=14.94 +2025-11-04 13:28:30,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=10.52, mean=-0.4125, std=2.906, absmax=12.73 +2025-11-04 13:28:31,211 ERROR: Encountered non-finite generator loss at iter 22089; skipping update. +2025-11-04 13:28:31,212 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,213 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:31,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.42, mean=-0.161, std=2.76, absmax=12.46 +2025-11-04 13:28:31,215 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.17, mean=-0.1789, std=2.586, absmax=12.17 +2025-11-04 13:28:31,571 ERROR: Encountered non-finite generator loss at iter 22090; skipping update. +2025-11-04 13:28:31,572 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,573 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,573 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:31,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=14.15, mean=0.1775, std=3.47, absmax=15.17 +2025-11-04 13:28:31,574 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.11, max=13.47, mean=0.1688, std=3.312, absmax=14.11 +2025-11-04 13:28:31,931 ERROR: Encountered non-finite generator loss at iter 22091; skipping update. +2025-11-04 13:28:31,932 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,933 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:31,933 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:31,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.76, mean=-0.1986, std=2.694, absmax=13.27 +2025-11-04 13:28:31,934 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=10.47, mean=-0.1827, std=2.424, absmax=11.58 +2025-11-04 13:28:32,290 ERROR: Encountered non-finite generator loss at iter 22092; skipping update. +2025-11-04 13:28:32,291 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:32,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:32,292 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:32,292 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:32,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=13.04, mean=-0.07013, std=3.115, absmax=13.04 +2025-11-04 13:28:32,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=11.89, mean=-0.06245, std=2.822, absmax=11.89 +2025-11-04 13:28:32,650 ERROR: Encountered non-finite generator loss at iter 22093; skipping update. +2025-11-04 13:28:32,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:32,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:32,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:32,651 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:32,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.35, mean=-0.2511, std=2.656, absmax=12.04 +2025-11-04 13:28:32,652 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.05, mean=-0.2338, std=2.511, absmax=12.34 +2025-11-04 13:28:33,008 ERROR: Encountered non-finite generator loss at iter 22094; skipping update. +2025-11-04 13:28:33,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,011 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:33,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.46, mean=-0.08547, std=2.997, absmax=12.58 +2025-11-04 13:28:33,012 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.48, mean=-0.05892, std=2.894, absmax=11.9 +2025-11-04 13:28:33,368 ERROR: Encountered non-finite generator loss at iter 22095; skipping update. +2025-11-04 13:28:33,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:33,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.36, mean=-0.149, std=3.059, absmax=12.82 +2025-11-04 13:28:33,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=11.49, mean=-0.1637, std=2.77, absmax=11.49 +2025-11-04 13:28:33,727 ERROR: Encountered non-finite generator loss at iter 22096; skipping update. +2025-11-04 13:28:33,729 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:33,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:33,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.62, max=15.29, mean=0.1247, std=4.108, absmax=15.62 +2025-11-04 13:28:33,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.22, max=15.04, mean=0.1156, std=3.883, absmax=15.04 +2025-11-04 13:28:34,087 ERROR: Encountered non-finite generator loss at iter 22097; skipping update. +2025-11-04 13:28:34,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:34,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.27, max=13.85, mean=-0.2367, std=2.779, absmax=16.27 +2025-11-04 13:28:34,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=10.79, mean=-0.2113, std=2.575, absmax=11.43 +2025-11-04 13:28:34,446 ERROR: Encountered non-finite generator loss at iter 22098; skipping update. +2025-11-04 13:28:34,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,447 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,448 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:34,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.2, mean=-0.01809, std=3.244, absmax=13.2 +2025-11-04 13:28:34,449 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=12.39, mean=-0.01204, std=2.999, absmax=12.39 +2025-11-04 13:28:34,804 ERROR: Encountered non-finite generator loss at iter 22099; skipping update. +2025-11-04 13:28:34,806 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,806 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:34,807 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:34,807 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=11.9, mean=-0.2286, std=2.579, absmax=11.9 +2025-11-04 13:28:34,808 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.65, max=10.31, mean=-0.2505, std=2.387, absmax=10.31 +2025-11-04 13:28:35,164 ERROR: Encountered non-finite generator loss at iter 22100; skipping update. +2025-11-04 13:28:35,165 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,166 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,166 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,166 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:35,167 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.5, mean=-0.2058, std=3.189, absmax=14.5 +2025-11-04 13:28:35,168 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12, mean=-0.1426, std=2.991, absmax=12.05 +2025-11-04 13:28:35,168 INFO: [38..][epoch: 0, step: 22,100, lr:(2.000e-04,)] [eta: 1 day, 6:12:46, time (data): 0.360 (0.000)] +2025-11-04 13:28:35,525 ERROR: Encountered non-finite generator loss at iter 22101; skipping update. +2025-11-04 13:28:35,526 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,527 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:35,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=15.03, mean=-0.2117, std=2.668, absmax=15.03 +2025-11-04 13:28:35,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.54, mean=-0.2111, std=2.457, absmax=11.83 +2025-11-04 13:28:35,884 ERROR: Encountered non-finite generator loss at iter 22102; skipping update. +2025-11-04 13:28:35,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,886 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:35,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:35,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=11.8, mean=-0.135, std=3.141, absmax=13.73 +2025-11-04 13:28:35,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=10.22, mean=-0.1232, std=2.959, absmax=12.5 +2025-11-04 13:28:36,244 ERROR: Encountered non-finite generator loss at iter 22103; skipping update. +2025-11-04 13:28:36,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:36,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.21, mean=-0.1661, std=3.367, absmax=13.8 +2025-11-04 13:28:36,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.77, mean=-0.137, std=3.076, absmax=12.97 +2025-11-04 13:28:36,604 ERROR: Encountered non-finite generator loss at iter 22104; skipping update. +2025-11-04 13:28:36,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:36,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=15.16, mean=0.02254, std=3.517, absmax=15.16 +2025-11-04 13:28:36,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=15.04, mean=-0.03252, std=3.357, absmax=15.04 +2025-11-04 13:28:36,963 ERROR: Encountered non-finite generator loss at iter 22105; skipping update. +2025-11-04 13:28:36,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:36,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:36,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=10.74, mean=-0.2806, std=2.631, absmax=12.61 +2025-11-04 13:28:36,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=9.444, mean=-0.2743, std=2.464, absmax=12.68 +2025-11-04 13:28:37,323 ERROR: Encountered non-finite generator loss at iter 22106; skipping update. +2025-11-04 13:28:37,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:37,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:37,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:37,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:37,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.38, mean=-0.253, std=2.736, absmax=12.38 +2025-11-04 13:28:37,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.46, mean=-0.239, std=2.474, absmax=11.46 +2025-11-04 13:28:37,682 ERROR: Encountered non-finite generator loss at iter 22107; skipping update. +2025-11-04 13:28:37,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:37,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:37,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:37,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:37,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=10.97, mean=-0.2689, std=2.672, absmax=12.27 +2025-11-04 13:28:37,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=10.2, mean=-0.2495, std=2.507, absmax=12.06 +2025-11-04 13:28:38,042 ERROR: Encountered non-finite generator loss at iter 22108; skipping update. +2025-11-04 13:28:38,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:38,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.58, mean=-0.09145, std=2.892, absmax=12.58 +2025-11-04 13:28:38,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=11.72, mean=-0.02043, std=2.795, absmax=11.72 +2025-11-04 13:28:38,402 ERROR: Encountered non-finite generator loss at iter 22109; skipping update. +2025-11-04 13:28:38,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:38,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=13.36, mean=0.1471, std=3.257, absmax=13.36 +2025-11-04 13:28:38,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=12.5, mean=0.1379, std=3.111, absmax=12.5 +2025-11-04 13:28:38,762 ERROR: Encountered non-finite generator loss at iter 22110; skipping update. +2025-11-04 13:28:38,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:38,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:38,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.68, mean=-0.0847, std=3.144, absmax=13.29 +2025-11-04 13:28:38,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=10.93, mean=-0.08891, std=2.991, absmax=12.18 +2025-11-04 13:28:39,121 ERROR: Encountered non-finite generator loss at iter 22111; skipping update. +2025-11-04 13:28:39,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:39,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.55, mean=-0.1506, std=3.391, absmax=13.51 +2025-11-04 13:28:39,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=10.52, mean=-0.1706, std=3.057, absmax=12.1 +2025-11-04 13:28:39,481 ERROR: Encountered non-finite generator loss at iter 22112; skipping update. +2025-11-04 13:28:39,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:39,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.09, mean=-0.02537, std=3.375, absmax=14.09 +2025-11-04 13:28:39,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.22, mean=-0.05809, std=3.081, absmax=12.12 +2025-11-04 13:28:39,842 ERROR: Encountered non-finite generator loss at iter 22113; skipping update. +2025-11-04 13:28:39,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:39,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:39,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=13.25, mean=-0.2135, std=2.835, absmax=13.25 +2025-11-04 13:28:39,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.63, mean=-0.1899, std=2.693, absmax=12.63 +2025-11-04 13:28:40,201 ERROR: Encountered non-finite generator loss at iter 22114; skipping update. +2025-11-04 13:28:40,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:40,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=13.44, mean=0.009309, std=2.616, absmax=13.44 +2025-11-04 13:28:40,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=10.55, mean=-0.006562, std=2.454, absmax=11.52 +2025-11-04 13:28:40,561 ERROR: Encountered non-finite generator loss at iter 22115; skipping update. +2025-11-04 13:28:40,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,563 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,564 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:40,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.13, mean=-0.08087, std=3.575, absmax=13.13 +2025-11-04 13:28:40,565 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=11.75, mean=-0.06807, std=3.298, absmax=11.75 +2025-11-04 13:28:40,921 ERROR: Encountered non-finite generator loss at iter 22116; skipping update. +2025-11-04 13:28:40,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:40,924 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:40,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.2, mean=-0.04025, std=3.18, absmax=13.2 +2025-11-04 13:28:40,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.34, mean=-0.007834, std=2.916, absmax=12.36 +2025-11-04 13:28:41,281 ERROR: Encountered non-finite generator loss at iter 22117; skipping update. +2025-11-04 13:28:41,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:41,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:41,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:41,284 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:41,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=10.88, mean=-0.2925, std=2.556, absmax=11.7 +2025-11-04 13:28:41,285 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.65, mean=-0.2783, std=2.425, absmax=12.44 +2025-11-04 13:28:41,642 ERROR: Encountered non-finite generator loss at iter 22118; skipping update. +2025-11-04 13:28:41,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:41,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:41,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:41,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:41,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.41, mean=-0.2934, std=3.133, absmax=13.41 +2025-11-04 13:28:41,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=10.84, mean=-0.2667, std=2.942, absmax=11.17 +2025-11-04 13:28:42,002 ERROR: Encountered non-finite generator loss at iter 22119; skipping update. +2025-11-04 13:28:42,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:42,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.87, mean=-0.1639, std=2.979, absmax=14.19 +2025-11-04 13:28:42,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.68, mean=-0.14, std=2.837, absmax=12.68 +2025-11-04 13:28:42,361 ERROR: Encountered non-finite generator loss at iter 22120; skipping update. +2025-11-04 13:28:42,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,364 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:42,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=12.15, mean=-0.04717, std=3.042, absmax=12.15 +2025-11-04 13:28:42,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.23, mean=-0.03535, std=2.901, absmax=12.81 +2025-11-04 13:28:42,721 ERROR: Encountered non-finite generator loss at iter 22121; skipping update. +2025-11-04 13:28:42,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:42,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:42,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.35, mean=-0.02448, std=2.83, absmax=13.35 +2025-11-04 13:28:42,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.56, mean=0.02204, std=2.715, absmax=11.56 +2025-11-04 13:28:43,081 ERROR: Encountered non-finite generator loss at iter 22122; skipping update. +2025-11-04 13:28:43,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:43,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.07, mean=-0.1725, std=2.769, absmax=12.19 +2025-11-04 13:28:43,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.52, mean=-0.16, std=2.486, absmax=11.2 +2025-11-04 13:28:43,441 ERROR: Encountered non-finite generator loss at iter 22123; skipping update. +2025-11-04 13:28:43,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,444 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:43,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.56, mean=-0.02766, std=2.553, absmax=13.69 +2025-11-04 13:28:43,445 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.96, max=10.87, mean=-0.04245, std=2.282, absmax=10.87 +2025-11-04 13:28:43,801 ERROR: Encountered non-finite generator loss at iter 22124; skipping update. +2025-11-04 13:28:43,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:43,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:43,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=15.38, mean=0.265, std=3.42, absmax=15.38 +2025-11-04 13:28:43,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=15.14, mean=0.2345, std=3.191, absmax=15.14 +2025-11-04 13:28:44,161 ERROR: Encountered non-finite generator loss at iter 22125; skipping update. +2025-11-04 13:28:44,162 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,163 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:44,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.55, mean=-0.06101, std=2.85, absmax=12.88 +2025-11-04 13:28:44,164 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.76, mean=-0.04216, std=2.563, absmax=12.56 +2025-11-04 13:28:44,521 ERROR: Encountered non-finite generator loss at iter 22126; skipping update. +2025-11-04 13:28:44,522 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,523 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:44,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.15, mean=-0.05218, std=2.915, absmax=12.18 +2025-11-04 13:28:44,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=11.4, mean=-0.09338, std=2.8, absmax=11.93 +2025-11-04 13:28:44,880 ERROR: Encountered non-finite generator loss at iter 22127; skipping update. +2025-11-04 13:28:44,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:44,883 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:44,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=15.76, mean=-0.1185, std=3.092, absmax=15.76 +2025-11-04 13:28:44,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.2, mean=-0.1075, std=2.95, absmax=12.2 +2025-11-04 13:28:45,240 ERROR: Encountered non-finite generator loss at iter 22128; skipping update. +2025-11-04 13:28:45,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:45,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=13.51, mean=-0.3104, std=2.776, absmax=13.51 +2025-11-04 13:28:45,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.1, mean=-0.3202, std=2.474, absmax=10.63 +2025-11-04 13:28:45,600 ERROR: Encountered non-finite generator loss at iter 22129; skipping update. +2025-11-04 13:28:45,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:45,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.73, mean=-0.2144, std=3.075, absmax=12.95 +2025-11-04 13:28:45,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=11.47, mean=-0.2271, std=2.852, absmax=11.98 +2025-11-04 13:28:45,960 ERROR: Encountered non-finite generator loss at iter 22130; skipping update. +2025-11-04 13:28:45,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:45,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:45,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=11.95, mean=-0.3366, std=3.324, absmax=15.16 +2025-11-04 13:28:45,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.68, max=11.51, mean=-0.3141, std=3.088, absmax=13.68 +2025-11-04 13:28:46,321 ERROR: Encountered non-finite generator loss at iter 22131; skipping update. +2025-11-04 13:28:46,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:46,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:46,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:46,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:46,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=16.77, mean=0.2636, std=3.536, absmax=16.77 +2025-11-04 13:28:46,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=17.08, mean=0.285, std=3.299, absmax=17.08 +2025-11-04 13:28:46,680 ERROR: Encountered non-finite generator loss at iter 22132; skipping update. +2025-11-04 13:28:46,682 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:46,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:46,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:46,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:46,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=15.34, mean=-0.1373, std=3.655, absmax=15.34 +2025-11-04 13:28:46,684 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=14.87, mean=-0.1224, std=3.313, absmax=14.87 +2025-11-04 13:28:47,040 ERROR: Encountered non-finite generator loss at iter 22133; skipping update. +2025-11-04 13:28:47,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,042 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:47,043 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.84, mean=-0.1638, std=2.905, absmax=12.84 +2025-11-04 13:28:47,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.07, mean=-0.1458, std=2.665, absmax=11.07 +2025-11-04 13:28:47,401 ERROR: Encountered non-finite generator loss at iter 22134; skipping update. +2025-11-04 13:28:47,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,402 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,403 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:47,404 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=13.27, mean=-0.1017, std=3.471, absmax=14.37 +2025-11-04 13:28:47,404 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=11.97, mean=-0.06389, std=3.215, absmax=12.78 +2025-11-04 13:28:47,760 ERROR: Encountered non-finite generator loss at iter 22135; skipping update. +2025-11-04 13:28:47,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:47,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:47,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.55, mean=0.05132, std=3.088, absmax=13.55 +2025-11-04 13:28:47,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.77, mean=0.05267, std=2.861, absmax=12.77 +2025-11-04 13:28:48,121 ERROR: Encountered non-finite generator loss at iter 22136; skipping update. +2025-11-04 13:28:48,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:48,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=13.14, mean=-0.2888, std=3.372, absmax=14.94 +2025-11-04 13:28:48,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=11.55, mean=-0.2869, std=3.115, absmax=12.77 +2025-11-04 13:28:48,480 ERROR: Encountered non-finite generator loss at iter 22137; skipping update. +2025-11-04 13:28:48,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:48,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.23, mean=-0.01286, std=3.682, absmax=14.23 +2025-11-04 13:28:48,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=13.98, mean=-0.002265, std=3.536, absmax=13.98 +2025-11-04 13:28:48,840 ERROR: Encountered non-finite generator loss at iter 22138; skipping update. +2025-11-04 13:28:48,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:48,842 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:48,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.89, mean=-0.08865, std=2.973, absmax=12.08 +2025-11-04 13:28:48,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=10.9, mean=-0.1322, std=2.831, absmax=10.97 +2025-11-04 13:28:49,200 ERROR: Encountered non-finite generator loss at iter 22139; skipping update. +2025-11-04 13:28:49,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,202 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:49,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.76, mean=-0.3743, std=3.736, absmax=13.76 +2025-11-04 13:28:49,203 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=12.53, mean=-0.3783, std=3.496, absmax=12.53 +2025-11-04 13:28:49,560 ERROR: Encountered non-finite generator loss at iter 22140; skipping update. +2025-11-04 13:28:49,561 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,562 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:49,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=11.68, mean=-0.004248, std=3.023, absmax=11.86 +2025-11-04 13:28:49,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.28, mean=0.05359, std=2.835, absmax=11.28 +2025-11-04 13:28:49,920 ERROR: Encountered non-finite generator loss at iter 22141; skipping update. +2025-11-04 13:28:49,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:49,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:49,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.05, max=12.62, mean=-0.06657, std=2.808, absmax=12.62 +2025-11-04 13:28:49,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=11.6, mean=-0.05973, std=2.655, absmax=11.6 +2025-11-04 13:28:50,280 ERROR: Encountered non-finite generator loss at iter 22142; skipping update. +2025-11-04 13:28:50,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:50,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:50,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:50,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:50,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.85, mean=-0.2278, std=2.909, absmax=12.85 +2025-11-04 13:28:50,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.03, mean=-0.191, std=2.698, absmax=11.03 +2025-11-04 13:28:50,641 ERROR: Encountered non-finite generator loss at iter 22143; skipping update. +2025-11-04 13:28:50,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:50,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:50,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:50,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:50,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.63, mean=-0.1911, std=3.351, absmax=13.35 +2025-11-04 13:28:50,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=10.53, mean=-0.1598, std=3.079, absmax=12.26 +2025-11-04 13:28:51,001 ERROR: Encountered non-finite generator loss at iter 22144; skipping update. +2025-11-04 13:28:51,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:51,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.13, max=11.94, mean=-0.299, std=2.983, absmax=16.13 +2025-11-04 13:28:51,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.69, max=11.3, mean=-0.2451, std=2.792, absmax=14.69 +2025-11-04 13:28:51,361 ERROR: Encountered non-finite generator loss at iter 22145; skipping update. +2025-11-04 13:28:51,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:51,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=16.28, mean=-0.01918, std=3.443, absmax=16.28 +2025-11-04 13:28:51,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=16.33, mean=-0.04595, std=3.125, absmax=16.33 +2025-11-04 13:28:51,721 ERROR: Encountered non-finite generator loss at iter 22146; skipping update. +2025-11-04 13:28:51,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:51,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:51,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.51, mean=-0.2783, std=2.709, absmax=14.01 +2025-11-04 13:28:51,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.52, mean=-0.2405, std=2.619, absmax=10.9 +2025-11-04 13:28:52,081 ERROR: Encountered non-finite generator loss at iter 22147; skipping update. +2025-11-04 13:28:52,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:52,084 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.19, mean=-0.2126, std=2.539, absmax=13.19 +2025-11-04 13:28:52,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=12.91, mean=-0.1671, std=2.464, absmax=12.91 +2025-11-04 13:28:52,441 ERROR: Encountered non-finite generator loss at iter 22148; skipping update. +2025-11-04 13:28:52,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:52,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.86, mean=-0.1194, std=2.721, absmax=13.86 +2025-11-04 13:28:52,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.7, mean=-0.1021, std=2.55, absmax=11.7 +2025-11-04 13:28:52,801 ERROR: Encountered non-finite generator loss at iter 22149; skipping update. +2025-11-04 13:28:52,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:52,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:52,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=14.85, mean=-0.04421, std=2.761, absmax=14.85 +2025-11-04 13:28:52,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.49, mean=-0.04079, std=2.576, absmax=12.49 +2025-11-04 13:28:53,161 ERROR: Encountered non-finite generator loss at iter 22150; skipping update. +2025-11-04 13:28:53,162 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,163 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:53,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.5, mean=-0.1846, std=2.904, absmax=13.5 +2025-11-04 13:28:53,164 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=11.11, mean=-0.195, std=2.695, absmax=11.84 +2025-11-04 13:28:53,521 ERROR: Encountered non-finite generator loss at iter 22151; skipping update. +2025-11-04 13:28:53,522 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,523 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:53,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.07, mean=-0.4069, std=3.319, absmax=14.07 +2025-11-04 13:28:53,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=11.48, mean=-0.3585, std=3.182, absmax=12.43 +2025-11-04 13:28:53,880 ERROR: Encountered non-finite generator loss at iter 22152; skipping update. +2025-11-04 13:28:53,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:53,883 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:53,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.25, mean=-0.2859, std=2.82, absmax=12.04 +2025-11-04 13:28:53,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=10.18, mean=-0.3049, std=2.579, absmax=11.41 +2025-11-04 13:28:54,240 ERROR: Encountered non-finite generator loss at iter 22153; skipping update. +2025-11-04 13:28:54,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:54,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=15.88, mean=-0.09838, std=3.756, absmax=15.88 +2025-11-04 13:28:54,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=14.03, mean=-0.1005, std=3.457, absmax=14.03 +2025-11-04 13:28:54,600 ERROR: Encountered non-finite generator loss at iter 22154; skipping update. +2025-11-04 13:28:54,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,602 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:54,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.77, mean=-0.1278, std=2.993, absmax=13.33 +2025-11-04 13:28:54,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=10.35, mean=-0.1319, std=2.825, absmax=12.41 +2025-11-04 13:28:54,960 ERROR: Encountered non-finite generator loss at iter 22155; skipping update. +2025-11-04 13:28:54,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:54,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:54,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=10.44, mean=-0.2551, std=2.746, absmax=13 +2025-11-04 13:28:54,963 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=10.07, mean=-0.2405, std=2.673, absmax=13.69 +2025-11-04 13:28:55,319 ERROR: Encountered non-finite generator loss at iter 22156; skipping update. +2025-11-04 13:28:55,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:55,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:55,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:55,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:55,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=15.11, mean=0.006228, std=3.236, absmax=15.11 +2025-11-04 13:28:55,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=13.77, mean=0.004805, std=2.989, absmax=13.77 +2025-11-04 13:28:55,679 ERROR: Encountered non-finite generator loss at iter 22157; skipping update. +2025-11-04 13:28:55,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:55,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:55,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:55,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:55,682 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.97, mean=-0.2419, std=3.023, absmax=12.63 +2025-11-04 13:28:55,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=10.97, mean=-0.269, std=2.828, absmax=10.97 +2025-11-04 13:28:56,039 ERROR: Encountered non-finite generator loss at iter 22158; skipping update. +2025-11-04 13:28:56,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:56,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.38, mean=-0.1872, std=3.451, absmax=13.57 +2025-11-04 13:28:56,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.17, mean=-0.1842, std=3.298, absmax=12.12 +2025-11-04 13:28:56,398 ERROR: Encountered non-finite generator loss at iter 22159; skipping update. +2025-11-04 13:28:56,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:56,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.23, mean=-0.2399, std=3.26, absmax=12.48 +2025-11-04 13:28:56,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=10.97, mean=-0.2459, std=3.083, absmax=11.96 +2025-11-04 13:28:56,759 ERROR: Encountered non-finite generator loss at iter 22160; skipping update. +2025-11-04 13:28:56,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:56,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:56,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.5, mean=-0.1713, std=2.904, absmax=12.5 +2025-11-04 13:28:56,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.9, mean=-0.1332, std=2.629, absmax=11.13 +2025-11-04 13:28:57,119 ERROR: Encountered non-finite generator loss at iter 22161; skipping update. +2025-11-04 13:28:57,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:57,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.61, mean=-0.2767, std=3.051, absmax=12.56 +2025-11-04 13:28:57,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=9.323, mean=-0.2353, std=2.846, absmax=10.89 +2025-11-04 13:28:57,479 ERROR: Encountered non-finite generator loss at iter 22162; skipping update. +2025-11-04 13:28:57,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:57,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.41, mean=-0.1117, std=2.827, absmax=12.96 +2025-11-04 13:28:57,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=10.69, mean=-0.1278, std=2.623, absmax=12.22 +2025-11-04 13:28:57,839 ERROR: Encountered non-finite generator loss at iter 22163; skipping update. +2025-11-04 13:28:57,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:57,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:57,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.4, mean=-0.3922, std=3.205, absmax=13.47 +2025-11-04 13:28:57,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=10.89, mean=-0.4031, std=3.058, absmax=13.28 +2025-11-04 13:28:58,200 ERROR: Encountered non-finite generator loss at iter 22164; skipping update. +2025-11-04 13:28:58,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:58,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=11.54, mean=-0.1383, std=3.663, absmax=13.73 +2025-11-04 13:28:58,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=11.67, mean=-0.1589, std=3.409, absmax=13.55 +2025-11-04 13:28:58,561 ERROR: Encountered non-finite generator loss at iter 22165; skipping update. +2025-11-04 13:28:58,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,563 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:58,564 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=12.24, mean=-0.1939, std=3.127, absmax=13.83 +2025-11-04 13:28:58,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=9.875, mean=-0.215, std=2.844, absmax=12.95 +2025-11-04 13:28:58,921 ERROR: Encountered non-finite generator loss at iter 22166; skipping update. +2025-11-04 13:28:58,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:58,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:58,924 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=14.47, mean=-0.1119, std=2.791, absmax=14.47 +2025-11-04 13:28:58,925 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=11.96, mean=-0.08205, std=2.603, absmax=11.96 +2025-11-04 13:28:59,281 ERROR: Encountered non-finite generator loss at iter 22167; skipping update. +2025-11-04 13:28:59,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:59,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:59,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:59,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:59,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.03, mean=-0.1786, std=3.236, absmax=13.34 +2025-11-04 13:28:59,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.19, mean=-0.1407, std=3.08, absmax=11.37 +2025-11-04 13:28:59,641 ERROR: Encountered non-finite generator loss at iter 22168; skipping update. +2025-11-04 13:28:59,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:59,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:28:59,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:28:59,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:28:59,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=10.62, mean=-0.3177, std=2.991, absmax=12.61 +2025-11-04 13:28:59,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=9.263, mean=-0.3113, std=2.809, absmax=12 +2025-11-04 13:29:00,001 ERROR: Encountered non-finite generator loss at iter 22169; skipping update. +2025-11-04 13:29:00,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:00,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.4, mean=-0.03404, std=3.051, absmax=12.7 +2025-11-04 13:29:00,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=12.04, mean=-0.0195, std=2.799, absmax=12.04 +2025-11-04 13:29:00,362 ERROR: Encountered non-finite generator loss at iter 22170; skipping update. +2025-11-04 13:29:00,363 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,364 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,364 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:00,365 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=16.47, mean=0.04424, std=3.098, absmax=16.47 +2025-11-04 13:29:00,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=15.28, mean=0.06023, std=3.014, absmax=15.28 +2025-11-04 13:29:00,722 ERROR: Encountered non-finite generator loss at iter 22171; skipping update. +2025-11-04 13:29:00,723 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,724 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:00,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:00,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=15.22, mean=-0.2536, std=3.005, absmax=15.22 +2025-11-04 13:29:00,726 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=12.81, mean=-0.2492, std=2.842, absmax=12.82 +2025-11-04 13:29:01,082 ERROR: Encountered non-finite generator loss at iter 22172; skipping update. +2025-11-04 13:29:01,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:01,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.67, mean=0.03383, std=2.621, absmax=13.67 +2025-11-04 13:29:01,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=12.32, mean=0.01466, std=2.39, absmax=12.32 +2025-11-04 13:29:01,442 ERROR: Encountered non-finite generator loss at iter 22173; skipping update. +2025-11-04 13:29:01,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:01,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=13.69, mean=-0.09014, std=3.554, absmax=15.19 +2025-11-04 13:29:01,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.47, mean=-0.07084, std=3.234, absmax=12.47 +2025-11-04 13:29:01,803 ERROR: Encountered non-finite generator loss at iter 22174; skipping update. +2025-11-04 13:29:01,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:01,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:01,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=14.1, mean=-0.1455, std=2.689, absmax=14.1 +2025-11-04 13:29:01,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=10.58, mean=-0.1017, std=2.494, absmax=11.82 +2025-11-04 13:29:02,163 ERROR: Encountered non-finite generator loss at iter 22175; skipping update. +2025-11-04 13:29:02,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:02,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.91, mean=-0.145, std=3.007, absmax=13.06 +2025-11-04 13:29:02,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=9.558, mean=-0.09727, std=2.729, absmax=10.18 +2025-11-04 13:29:02,523 ERROR: Encountered non-finite generator loss at iter 22176; skipping update. +2025-11-04 13:29:02,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,524 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:02,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=15.03, mean=-0.06922, std=3.502, absmax=15.03 +2025-11-04 13:29:02,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=12.46, mean=-0.07729, std=3.195, absmax=12.46 +2025-11-04 13:29:02,882 ERROR: Encountered non-finite generator loss at iter 22177; skipping update. +2025-11-04 13:29:02,883 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,884 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:02,884 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:02,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.83, max=15.64, mean=-0.3019, std=3.117, absmax=15.83 +2025-11-04 13:29:02,885 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.39, max=10.84, mean=-0.3305, std=2.976, absmax=14.39 +2025-11-04 13:29:03,242 ERROR: Encountered non-finite generator loss at iter 22178; skipping update. +2025-11-04 13:29:03,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,244 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:03,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.52, mean=0.04935, std=3.373, absmax=12.52 +2025-11-04 13:29:03,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=12.58, mean=0.07381, std=3.188, absmax=12.58 +2025-11-04 13:29:03,603 ERROR: Encountered non-finite generator loss at iter 22179; skipping update. +2025-11-04 13:29:03,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,605 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:03,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.52, mean=0.03707, std=3.308, absmax=14.52 +2025-11-04 13:29:03,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=13.98, mean=0.02907, std=3.116, absmax=13.98 +2025-11-04 13:29:03,963 ERROR: Encountered non-finite generator loss at iter 22180; skipping update. +2025-11-04 13:29:03,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:03,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:03,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=15.16, mean=-0.01325, std=3.594, absmax=15.16 +2025-11-04 13:29:03,969 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=15.04, mean=0.01758, std=3.439, absmax=15.04 +2025-11-04 13:29:04,325 ERROR: Encountered non-finite generator loss at iter 22181; skipping update. +2025-11-04 13:29:04,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:04,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:04,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:04,328 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:04,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=15.27, mean=-0.08529, std=3.443, absmax=15.27 +2025-11-04 13:29:04,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=12.48, mean=-0.1195, std=3.218, absmax=13.39 +2025-11-04 13:29:04,685 ERROR: Encountered non-finite generator loss at iter 22182; skipping update. +2025-11-04 13:29:04,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:04,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:04,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:04,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:04,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=16.99, mean=-0.1925, std=3.315, absmax=16.99 +2025-11-04 13:29:04,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=15.31, mean=-0.1618, std=3.053, absmax=15.31 +2025-11-04 13:29:05,044 ERROR: Encountered non-finite generator loss at iter 22183; skipping update. +2025-11-04 13:29:05,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,046 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:05,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=15.37, mean=-0.2592, std=2.875, absmax=15.37 +2025-11-04 13:29:05,047 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=15.1, mean=-0.2191, std=2.66, absmax=15.1 +2025-11-04 13:29:05,405 ERROR: Encountered non-finite generator loss at iter 22184; skipping update. +2025-11-04 13:29:05,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:05,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.76, mean=-0.03738, std=2.99, absmax=14.15 +2025-11-04 13:29:05,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=10.46, mean=-0.04821, std=2.639, absmax=12.1 +2025-11-04 13:29:05,764 ERROR: Encountered non-finite generator loss at iter 22185; skipping update. +2025-11-04 13:29:05,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,767 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:05,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:05,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.75, mean=-0.005085, std=3.176, absmax=13.91 +2025-11-04 13:29:05,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.88, mean=-0.0121, std=2.817, absmax=11.88 +2025-11-04 13:29:06,124 ERROR: Encountered non-finite generator loss at iter 22186; skipping update. +2025-11-04 13:29:06,125 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,126 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:06,127 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=12.43, mean=0.02695, std=3.435, absmax=12.43 +2025-11-04 13:29:06,127 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=12.62, mean=0.004654, std=3.271, absmax=12.62 +2025-11-04 13:29:06,483 ERROR: Encountered non-finite generator loss at iter 22187; skipping update. +2025-11-04 13:29:06,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,486 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:06,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=12.22, mean=-0.166, std=2.666, absmax=12.22 +2025-11-04 13:29:06,487 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=10.17, mean=-0.1408, std=2.51, absmax=10.17 +2025-11-04 13:29:06,844 ERROR: Encountered non-finite generator loss at iter 22188; skipping update. +2025-11-04 13:29:06,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:06,846 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:06,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.54, mean=-0.2927, std=2.976, absmax=12.73 +2025-11-04 13:29:06,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=9.737, mean=-0.2811, std=2.774, absmax=12.27 +2025-11-04 13:29:07,204 ERROR: Encountered non-finite generator loss at iter 22189; skipping update. +2025-11-04 13:29:07,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,206 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:07,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.81, mean=-0.2888, std=3.196, absmax=15.81 +2025-11-04 13:29:07,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=14.21, mean=-0.2634, std=2.981, absmax=14.21 +2025-11-04 13:29:07,563 ERROR: Encountered non-finite generator loss at iter 22190; skipping update. +2025-11-04 13:29:07,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:07,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=15.19, mean=0.03, std=3.626, absmax=15.19 +2025-11-04 13:29:07,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=14.71, mean=0.01135, std=3.313, absmax=14.71 +2025-11-04 13:29:07,923 ERROR: Encountered non-finite generator loss at iter 22191; skipping update. +2025-11-04 13:29:07,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,925 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:07,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:07,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.91, mean=-0.1588, std=2.92, absmax=13.91 +2025-11-04 13:29:07,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=12.76, mean=-0.1365, std=2.701, absmax=12.76 +2025-11-04 13:29:08,283 ERROR: Encountered non-finite generator loss at iter 22192; skipping update. +2025-11-04 13:29:08,283 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:08,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:08,284 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:08,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:08,285 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.66, mean=-0.3099, std=2.893, absmax=14.25 +2025-11-04 13:29:08,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=11.93, mean=-0.2947, std=2.74, absmax=13.22 +2025-11-04 13:29:08,643 ERROR: Encountered non-finite generator loss at iter 22193; skipping update. +2025-11-04 13:29:08,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:08,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:08,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:08,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:08,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.41, mean=-0.3572, std=3.223, absmax=13.41 +2025-11-04 13:29:08,646 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.15, mean=-0.3415, std=2.933, absmax=11.87 +2025-11-04 13:29:09,002 ERROR: Encountered non-finite generator loss at iter 22194; skipping update. +2025-11-04 13:29:09,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:09,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=13.1, mean=-0.01356, std=3.289, absmax=13.1 +2025-11-04 13:29:09,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=12.37, mean=0.02047, std=3.045, absmax=12.37 +2025-11-04 13:29:09,367 ERROR: Encountered non-finite generator loss at iter 22195; skipping update. +2025-11-04 13:29:09,368 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,369 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:09,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.5, mean=-0.1655, std=2.571, absmax=13.5 +2025-11-04 13:29:09,372 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=14.53, mean=-0.1551, std=2.412, absmax=14.53 +2025-11-04 13:29:09,730 ERROR: Encountered non-finite generator loss at iter 22196; skipping update. +2025-11-04 13:29:09,731 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:09,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:09,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=10.2, mean=-0.2137, std=2.892, absmax=12.01 +2025-11-04 13:29:09,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=9.148, mean=-0.2541, std=2.742, absmax=11.57 +2025-11-04 13:29:10,098 ERROR: Encountered non-finite generator loss at iter 22197; skipping update. +2025-11-04 13:29:10,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,100 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:10,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=14.37, mean=-0.2972, std=3.087, absmax=14.37 +2025-11-04 13:29:10,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=10.97, mean=-0.2888, std=2.947, absmax=13.94 +2025-11-04 13:29:10,460 ERROR: Encountered non-finite generator loss at iter 22198; skipping update. +2025-11-04 13:29:10,461 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,462 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,462 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:10,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=10.79, mean=-0.3019, std=2.809, absmax=13.35 +2025-11-04 13:29:10,464 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=9.143, mean=-0.2778, std=2.713, absmax=11.22 +2025-11-04 13:29:10,821 ERROR: Encountered non-finite generator loss at iter 22199; skipping update. +2025-11-04 13:29:10,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:10,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:10,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.62, mean=-0.1657, std=3.323, absmax=12.68 +2025-11-04 13:29:10,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.75, mean=-0.1277, std=3.085, absmax=11.75 +2025-11-04 13:29:11,181 ERROR: Encountered non-finite generator loss at iter 22200; skipping update. +2025-11-04 13:29:11,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,183 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:11,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.83, mean=-0.04468, std=3.605, absmax=14.83 +2025-11-04 13:29:11,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=13.89, mean=-0.07588, std=3.373, absmax=13.89 +2025-11-04 13:29:11,185 INFO: [38..][epoch: 0, step: 22,200, lr:(2.000e-04,)] [eta: 1 day, 6:05:38, time (data): 0.360 (0.000)] +2025-11-04 13:29:11,542 ERROR: Encountered non-finite generator loss at iter 22201; skipping update. +2025-11-04 13:29:11,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,543 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:11,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=15.11, mean=-0.04964, std=3.759, absmax=15.11 +2025-11-04 13:29:11,544 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=15.02, mean=-0.06606, std=3.527, absmax=15.02 +2025-11-04 13:29:11,901 ERROR: Encountered non-finite generator loss at iter 22202; skipping update. +2025-11-04 13:29:11,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:11,904 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:11,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=13.82, mean=-0.186, std=3.609, absmax=14.41 +2025-11-04 13:29:11,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=12.23, mean=-0.1661, std=3.287, absmax=13.49 +2025-11-04 13:29:12,262 ERROR: Encountered non-finite generator loss at iter 22203; skipping update. +2025-11-04 13:29:12,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:12,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.85, mean=-0.09174, std=3.037, absmax=13.85 +2025-11-04 13:29:12,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=11.62, mean=-0.05873, std=2.812, absmax=11.62 +2025-11-04 13:29:12,623 ERROR: Encountered non-finite generator loss at iter 22204; skipping update. +2025-11-04 13:29:12,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:12,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=16.4, mean=0.02866, std=3.134, absmax=16.4 +2025-11-04 13:29:12,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=14.74, mean=-0.04597, std=2.978, absmax=14.74 +2025-11-04 13:29:12,983 ERROR: Encountered non-finite generator loss at iter 22205; skipping update. +2025-11-04 13:29:12,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:12,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:12,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=10.75, mean=-0.1461, std=2.789, absmax=12.9 +2025-11-04 13:29:12,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=9.433, mean=-0.1376, std=2.628, absmax=11.15 +2025-11-04 13:29:13,343 ERROR: Encountered non-finite generator loss at iter 22206; skipping update. +2025-11-04 13:29:13,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:13,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:13,345 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:13,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:13,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.06, mean=-0.1579, std=2.902, absmax=13.06 +2025-11-04 13:29:13,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.33, mean=-0.1308, std=2.692, absmax=11.33 +2025-11-04 13:29:13,703 ERROR: Encountered non-finite generator loss at iter 22207; skipping update. +2025-11-04 13:29:13,705 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:13,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:13,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:13,706 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:13,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=10.41, mean=-0.2095, std=2.538, absmax=11.75 +2025-11-04 13:29:13,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=9.304, mean=-0.2057, std=2.405, absmax=10.46 +2025-11-04 13:29:14,064 ERROR: Encountered non-finite generator loss at iter 22208; skipping update. +2025-11-04 13:29:14,065 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,066 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:14,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=14.99, mean=-0.1627, std=3.562, absmax=14.99 +2025-11-04 13:29:14,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=12.25, mean=-0.1587, std=3.224, absmax=12.62 +2025-11-04 13:29:14,425 ERROR: Encountered non-finite generator loss at iter 22209; skipping update. +2025-11-04 13:29:14,426 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,427 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,427 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:14,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.49, max=14.54, mean=-0.1713, std=2.79, absmax=16.49 +2025-11-04 13:29:14,428 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=10.71, mean=-0.2183, std=2.528, absmax=12.95 +2025-11-04 13:29:14,785 ERROR: Encountered non-finite generator loss at iter 22210; skipping update. +2025-11-04 13:29:14,786 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:14,788 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:14,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.78, mean=-0.2307, std=2.856, absmax=13.78 +2025-11-04 13:29:14,789 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.938, max=12, mean=-0.1973, std=2.62, absmax=12 +2025-11-04 13:29:15,147 ERROR: Encountered non-finite generator loss at iter 22211; skipping update. +2025-11-04 13:29:15,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,149 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:15,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=12.72, mean=-0.1466, std=3.272, absmax=14.13 +2025-11-04 13:29:15,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=11.64, mean=-0.1377, std=3.079, absmax=12.21 +2025-11-04 13:29:15,507 ERROR: Encountered non-finite generator loss at iter 22212; skipping update. +2025-11-04 13:29:15,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:15,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=10.65, mean=-0.2768, std=2.744, absmax=12.68 +2025-11-04 13:29:15,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=10.77, mean=-0.2536, std=2.6, absmax=11.06 +2025-11-04 13:29:15,867 ERROR: Encountered non-finite generator loss at iter 22213; skipping update. +2025-11-04 13:29:15,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:15,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:15,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=17.03, mean=-0.1843, std=2.568, absmax=17.03 +2025-11-04 13:29:15,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=14.58, mean=-0.163, std=2.497, absmax=14.58 +2025-11-04 13:29:16,226 ERROR: Encountered non-finite generator loss at iter 22214; skipping update. +2025-11-04 13:29:16,227 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,228 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,228 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:16,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.5, max=11.24, mean=-0.2036, std=2.524, absmax=15.5 +2025-11-04 13:29:16,229 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=9.546, mean=-0.1963, std=2.281, absmax=11.7 +2025-11-04 13:29:16,585 ERROR: Encountered non-finite generator loss at iter 22215; skipping update. +2025-11-04 13:29:16,586 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,587 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,588 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:16,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.82, mean=-0.09027, std=2.927, absmax=14.82 +2025-11-04 13:29:16,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.49, mean=-0.09922, std=2.742, absmax=11.6 +2025-11-04 13:29:16,945 ERROR: Encountered non-finite generator loss at iter 22216; skipping update. +2025-11-04 13:29:16,946 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,947 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:16,947 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:16,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=15.45, mean=0.0009989, std=3.507, absmax=15.45 +2025-11-04 13:29:16,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=14.88, mean=-0.01366, std=3.277, absmax=14.88 +2025-11-04 13:29:17,304 ERROR: Encountered non-finite generator loss at iter 22217; skipping update. +2025-11-04 13:29:17,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:17,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:17,306 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:17,307 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:17,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.89, mean=-0.2332, std=2.863, absmax=12.51 +2025-11-04 13:29:17,308 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=11.54, mean=-0.1921, std=2.872, absmax=12.7 +2025-11-04 13:29:17,663 ERROR: Encountered non-finite generator loss at iter 22218; skipping update. +2025-11-04 13:29:17,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:17,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:17,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:17,665 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:17,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.45, mean=-0.08286, std=2.62, absmax=14.45 +2025-11-04 13:29:17,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=11.9, mean=-0.08429, std=2.472, absmax=13.37 +2025-11-04 13:29:18,023 ERROR: Encountered non-finite generator loss at iter 22219; skipping update. +2025-11-04 13:29:18,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:18,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.13, mean=-0.2855, std=3.209, absmax=13.19 +2025-11-04 13:29:18,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=12.09, mean=-0.2197, std=3.007, absmax=12.09 +2025-11-04 13:29:18,384 ERROR: Encountered non-finite generator loss at iter 22220; skipping update. +2025-11-04 13:29:18,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:18,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.22, mean=-0.0676, std=3.226, absmax=13.82 +2025-11-04 13:29:18,388 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=12.64, mean=-0.07967, std=2.964, absmax=12.75 +2025-11-04 13:29:18,745 ERROR: Encountered non-finite generator loss at iter 22221; skipping update. +2025-11-04 13:29:18,746 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:18,747 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:18,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.68, mean=-0.177, std=3.267, absmax=12.68 +2025-11-04 13:29:18,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=12.94, mean=-0.1303, std=2.98, absmax=12.94 +2025-11-04 13:29:19,105 ERROR: Encountered non-finite generator loss at iter 22222; skipping update. +2025-11-04 13:29:19,106 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,107 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,107 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:19,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=11.21, mean=-0.2301, std=2.505, absmax=11.22 +2025-11-04 13:29:19,108 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=9.203, mean=-0.2653, std=2.339, absmax=10.42 +2025-11-04 13:29:19,465 ERROR: Encountered non-finite generator loss at iter 22223; skipping update. +2025-11-04 13:29:19,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:19,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.38, mean=-0.141, std=3.111, absmax=11.42 +2025-11-04 13:29:19,468 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=10.66, mean=-0.1405, std=2.888, absmax=12 +2025-11-04 13:29:19,824 ERROR: Encountered non-finite generator loss at iter 22224; skipping update. +2025-11-04 13:29:19,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:19,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:19,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.72, mean=-0.2258, std=2.706, absmax=13.72 +2025-11-04 13:29:19,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=10.41, mean=-0.1894, std=2.571, absmax=11.75 +2025-11-04 13:29:20,184 ERROR: Encountered non-finite generator loss at iter 22225; skipping update. +2025-11-04 13:29:20,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,186 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:20,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=10.42, mean=-0.1905, std=3.338, absmax=13.59 +2025-11-04 13:29:20,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=9.905, mean=-0.2099, std=3.195, absmax=12.68 +2025-11-04 13:29:20,544 ERROR: Encountered non-finite generator loss at iter 22226; skipping update. +2025-11-04 13:29:20,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:20,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.28, mean=-0.2134, std=3.124, absmax=13.67 +2025-11-04 13:29:20,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=12.78, mean=-0.1953, std=2.909, absmax=13.27 +2025-11-04 13:29:20,903 ERROR: Encountered non-finite generator loss at iter 22227; skipping update. +2025-11-04 13:29:20,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:20,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:20,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.06, mean=0.02849, std=3.441, absmax=13.46 +2025-11-04 13:29:20,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=11.98, mean=0.04011, std=3.181, absmax=12.59 +2025-11-04 13:29:21,263 ERROR: Encountered non-finite generator loss at iter 22228; skipping update. +2025-11-04 13:29:21,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:21,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=12.88, mean=-0.2185, std=2.537, absmax=14.66 +2025-11-04 13:29:21,267 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=9.978, mean=-0.2211, std=2.357, absmax=11.42 +2025-11-04 13:29:21,625 ERROR: Encountered non-finite generator loss at iter 22229; skipping update. +2025-11-04 13:29:21,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:21,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.77, max=13.97, mean=-0.149, std=3.335, absmax=15.77 +2025-11-04 13:29:21,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.12, max=13.73, mean=-0.104, std=3.211, absmax=14.12 +2025-11-04 13:29:21,986 ERROR: Encountered non-finite generator loss at iter 22230; skipping update. +2025-11-04 13:29:21,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:21,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:21,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13, mean=-0.1342, std=2.929, absmax=13 +2025-11-04 13:29:21,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.7, mean=-0.1411, std=2.816, absmax=11.7 +2025-11-04 13:29:22,344 ERROR: Encountered non-finite generator loss at iter 22231; skipping update. +2025-11-04 13:29:22,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:22,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:22,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:22,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:22,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.86, mean=-0.1391, std=2.915, absmax=12.86 +2025-11-04 13:29:22,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.74, mean=-0.09269, std=2.797, absmax=12.62 +2025-11-04 13:29:22,705 ERROR: Encountered non-finite generator loss at iter 22232; skipping update. +2025-11-04 13:29:22,706 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:22,706 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:22,707 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:22,707 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:22,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.89, mean=-0.1214, std=2.784, absmax=12.89 +2025-11-04 13:29:22,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.52, mean=-0.1201, std=2.582, absmax=12.52 +2025-11-04 13:29:23,065 ERROR: Encountered non-finite generator loss at iter 22233; skipping update. +2025-11-04 13:29:23,066 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,067 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:23,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.4, mean=-0.3455, std=3.214, absmax=14.4 +2025-11-04 13:29:23,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=11.12, mean=-0.3284, std=2.974, absmax=13.61 +2025-11-04 13:29:23,426 ERROR: Encountered non-finite generator loss at iter 22234; skipping update. +2025-11-04 13:29:23,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,428 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:23,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.4, mean=-0.1475, std=2.601, absmax=13.4 +2025-11-04 13:29:23,429 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=11.17, mean=-0.1141, std=2.434, absmax=12.87 +2025-11-04 13:29:23,786 ERROR: Encountered non-finite generator loss at iter 22235; skipping update. +2025-11-04 13:29:23,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:23,788 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:23,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.38, max=13.03, mean=0.07794, std=2.901, absmax=13.03 +2025-11-04 13:29:23,789 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.52, mean=0.03627, std=2.618, absmax=11.52 +2025-11-04 13:29:24,145 ERROR: Encountered non-finite generator loss at iter 22236; skipping update. +2025-11-04 13:29:24,146 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,147 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,147 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:24,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.94, max=14.1, mean=-0.2382, std=2.998, absmax=15.94 +2025-11-04 13:29:24,149 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.26, max=12.87, mean=-0.1732, std=2.787, absmax=14.26 +2025-11-04 13:29:24,506 ERROR: Encountered non-finite generator loss at iter 22237; skipping update. +2025-11-04 13:29:24,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:24,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.59, mean=-0.2155, std=2.803, absmax=13.59 +2025-11-04 13:29:24,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.71, mean=-0.2694, std=2.59, absmax=12.71 +2025-11-04 13:29:24,866 ERROR: Encountered non-finite generator loss at iter 22238; skipping update. +2025-11-04 13:29:24,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:24,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:24,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.72, mean=-0.1918, std=2.617, absmax=12.72 +2025-11-04 13:29:24,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=11.06, mean=-0.1994, std=2.411, absmax=12.28 +2025-11-04 13:29:25,229 ERROR: Encountered non-finite generator loss at iter 22239; skipping update. +2025-11-04 13:29:25,230 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,231 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:25,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.76, mean=-0.2563, std=2.83, absmax=13.76 +2025-11-04 13:29:25,233 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=11.42, mean=-0.2649, std=2.577, absmax=12.2 +2025-11-04 13:29:25,592 ERROR: Encountered non-finite generator loss at iter 22240; skipping update. +2025-11-04 13:29:25,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,594 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:25,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.03, mean=-0.1672, std=2.688, absmax=13.01 +2025-11-04 13:29:25,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.09, mean=-0.1881, std=2.443, absmax=11.59 +2025-11-04 13:29:25,955 ERROR: Encountered non-finite generator loss at iter 22241; skipping update. +2025-11-04 13:29:25,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:25,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:25,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.87, mean=0.07261, std=3.332, absmax=13.87 +2025-11-04 13:29:25,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=13.39, mean=0.03171, std=3.229, absmax=13.39 +2025-11-04 13:29:26,319 ERROR: Encountered non-finite generator loss at iter 22242; skipping update. +2025-11-04 13:29:26,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:26,322 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:26,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:26,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:26,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.56, max=14.16, mean=-0.03408, std=3.221, absmax=15.56 +2025-11-04 13:29:26,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=11.45, mean=-0.0465, std=2.935, absmax=12.79 +2025-11-04 13:29:26,685 ERROR: Encountered non-finite generator loss at iter 22243; skipping update. +2025-11-04 13:29:26,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:26,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:26,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:26,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:26,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=17.32, mean=-0.1039, std=3.221, absmax=17.32 +2025-11-04 13:29:26,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=15.73, mean=-0.1166, std=3.044, absmax=15.73 +2025-11-04 13:29:27,048 ERROR: Encountered non-finite generator loss at iter 22244; skipping update. +2025-11-04 13:29:27,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,050 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:27,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.83, mean=-0.2191, std=3.096, absmax=13.83 +2025-11-04 13:29:27,052 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.99, mean=-0.2083, std=2.872, absmax=12.99 +2025-11-04 13:29:27,411 ERROR: Encountered non-finite generator loss at iter 22245; skipping update. +2025-11-04 13:29:27,412 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,413 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,413 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:27,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=15.24, mean=-0.00361, std=3.261, absmax=15.24 +2025-11-04 13:29:27,415 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=13.84, mean=0.03289, std=3.152, absmax=13.84 +2025-11-04 13:29:27,773 ERROR: Encountered non-finite generator loss at iter 22246; skipping update. +2025-11-04 13:29:27,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:27,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:27,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.17, mean=0.0006084, std=3.254, absmax=12.69 +2025-11-04 13:29:27,777 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.1, mean=0.02427, std=2.973, absmax=11.1 +2025-11-04 13:29:28,136 ERROR: Encountered non-finite generator loss at iter 22247; skipping update. +2025-11-04 13:29:28,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:28,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.52, mean=-0.01788, std=3.007, absmax=13.52 +2025-11-04 13:29:28,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=10.87, mean=-0.04327, std=2.894, absmax=10.87 +2025-11-04 13:29:28,499 ERROR: Encountered non-finite generator loss at iter 22248; skipping update. +2025-11-04 13:29:28,500 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,501 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,501 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:28,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=10.56, mean=-0.2423, std=2.621, absmax=11.23 +2025-11-04 13:29:28,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=11.58, mean=-0.2257, std=2.568, absmax=11.76 +2025-11-04 13:29:28,861 ERROR: Encountered non-finite generator loss at iter 22249; skipping update. +2025-11-04 13:29:28,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:28,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:28,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.54, mean=-0.2103, std=2.798, absmax=11.8 +2025-11-04 13:29:28,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=10.25, mean=-0.2317, std=2.625, absmax=10.77 +2025-11-04 13:29:29,226 ERROR: Encountered non-finite generator loss at iter 22250; skipping update. +2025-11-04 13:29:29,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:29,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.83, mean=-0.05427, std=3.109, absmax=13.83 +2025-11-04 13:29:29,231 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.46, mean=-0.05577, std=2.937, absmax=11.46 +2025-11-04 13:29:29,592 ERROR: Encountered non-finite generator loss at iter 22251; skipping update. +2025-11-04 13:29:29,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:29,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.25, max=12.59, mean=-0.285, std=3.081, absmax=16.25 +2025-11-04 13:29:29,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=10.73, mean=-0.2814, std=2.761, absmax=12.18 +2025-11-04 13:29:29,957 ERROR: Encountered non-finite generator loss at iter 22252; skipping update. +2025-11-04 13:29:29,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,959 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:29,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:29,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=14.2, mean=-0.07099, std=2.933, absmax=14.2 +2025-11-04 13:29:29,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=12.82, mean=-0.04527, std=2.709, absmax=12.82 +2025-11-04 13:29:30,324 ERROR: Encountered non-finite generator loss at iter 22253; skipping update. +2025-11-04 13:29:30,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:30,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:30,326 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:30,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:30,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=10.58, mean=-0.2678, std=2.658, absmax=11.77 +2025-11-04 13:29:30,328 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=8.194, mean=-0.304, std=2.432, absmax=10.83 +2025-11-04 13:29:30,691 ERROR: Encountered non-finite generator loss at iter 22254; skipping update. +2025-11-04 13:29:30,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:30,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:30,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:30,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:30,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.59, mean=-0.1907, std=3.155, absmax=13.59 +2025-11-04 13:29:30,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.48, mean=-0.2105, std=2.922, absmax=12.48 +2025-11-04 13:29:31,056 ERROR: Encountered non-finite generator loss at iter 22255; skipping update. +2025-11-04 13:29:31,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:31,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.64, mean=-0.1147, std=3.135, absmax=13.24 +2025-11-04 13:29:31,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.48, mean=-0.06465, std=2.926, absmax=11.48 +2025-11-04 13:29:31,419 ERROR: Encountered non-finite generator loss at iter 22256; skipping update. +2025-11-04 13:29:31,420 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,420 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,421 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,421 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:31,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.51, mean=0.06716, std=3.231, absmax=13.7 +2025-11-04 13:29:31,423 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.4, mean=0.01849, std=2.926, absmax=11.4 +2025-11-04 13:29:31,781 ERROR: Encountered non-finite generator loss at iter 22257; skipping update. +2025-11-04 13:29:31,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:31,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:31,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.11, mean=-0.3064, std=3.143, absmax=13.13 +2025-11-04 13:29:31,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.71, mean=-0.2721, std=3.073, absmax=11.74 +2025-11-04 13:29:32,144 ERROR: Encountered non-finite generator loss at iter 22258; skipping update. +2025-11-04 13:29:32,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,147 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:32,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=12.59, mean=-0.2359, std=2.908, absmax=12.59 +2025-11-04 13:29:32,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=12, mean=-0.2485, std=2.776, absmax=12 +2025-11-04 13:29:32,507 ERROR: Encountered non-finite generator loss at iter 22259; skipping update. +2025-11-04 13:29:32,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:32,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.48, mean=-0.2052, std=3.252, absmax=13.48 +2025-11-04 13:29:32,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.16, mean=-0.2397, std=2.994, absmax=12.16 +2025-11-04 13:29:32,869 ERROR: Encountered non-finite generator loss at iter 22260; skipping update. +2025-11-04 13:29:32,870 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,871 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:32,871 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:32,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=15.14, mean=0.1678, std=3.704, absmax=15.14 +2025-11-04 13:29:32,872 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=13.17, mean=0.1587, std=3.42, absmax=13.17 +2025-11-04 13:29:33,231 ERROR: Encountered non-finite generator loss at iter 22261; skipping update. +2025-11-04 13:29:33,232 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,233 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,233 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:33,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.88, max=13.14, mean=-0.2525, std=3.207, absmax=16.88 +2025-11-04 13:29:33,234 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.08, max=10.21, mean=-0.2235, std=3.044, absmax=14.08 +2025-11-04 13:29:33,592 ERROR: Encountered non-finite generator loss at iter 22262; skipping update. +2025-11-04 13:29:33,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:33,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.18, mean=-0.2546, std=2.897, absmax=13.94 +2025-11-04 13:29:33,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=12.48, mean=-0.2292, std=2.691, absmax=12.92 +2025-11-04 13:29:33,955 ERROR: Encountered non-finite generator loss at iter 22263; skipping update. +2025-11-04 13:29:33,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:33,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:33,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.18, mean=-0.09463, std=2.826, absmax=12.92 +2025-11-04 13:29:33,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=10.03, mean=-0.08961, std=2.637, absmax=11.48 +2025-11-04 13:29:34,317 ERROR: Encountered non-finite generator loss at iter 22264; skipping update. +2025-11-04 13:29:34,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:34,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:34,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:34,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:34,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=17.24, mean=-0.2365, std=2.778, absmax=17.24 +2025-11-04 13:29:34,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=14.85, mean=-0.2508, std=2.561, absmax=14.85 +2025-11-04 13:29:34,679 ERROR: Encountered non-finite generator loss at iter 22265; skipping update. +2025-11-04 13:29:34,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:34,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:34,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:34,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:34,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=12.58, mean=-0.2498, std=2.661, absmax=12.58 +2025-11-04 13:29:34,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.621, max=11.27, mean=-0.2074, std=2.494, absmax=11.27 +2025-11-04 13:29:35,042 ERROR: Encountered non-finite generator loss at iter 22266; skipping update. +2025-11-04 13:29:35,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,045 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:35,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.64, mean=0.1465, std=3.572, absmax=12.72 +2025-11-04 13:29:35,046 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=11.31, mean=0.1243, std=3.31, absmax=12.05 +2025-11-04 13:29:35,405 ERROR: Encountered non-finite generator loss at iter 22267; skipping update. +2025-11-04 13:29:35,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:35,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.87, mean=-0.2205, std=2.573, absmax=13.87 +2025-11-04 13:29:35,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.33, mean=-0.1923, std=2.467, absmax=11.33 +2025-11-04 13:29:35,767 ERROR: Encountered non-finite generator loss at iter 22268; skipping update. +2025-11-04 13:29:35,767 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:35,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:35,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.97, mean=-0.01904, std=2.701, absmax=12.97 +2025-11-04 13:29:35,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.13, mean=0.006472, std=2.513, absmax=11.21 +2025-11-04 13:29:36,128 ERROR: Encountered non-finite generator loss at iter 22269; skipping update. +2025-11-04 13:29:36,129 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:36,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=14.56, mean=-0.1308, std=3.13, absmax=14.93 +2025-11-04 13:29:36,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.16, max=11.47, mean=-0.1084, std=2.821, absmax=14.16 +2025-11-04 13:29:36,489 ERROR: Encountered non-finite generator loss at iter 22270; skipping update. +2025-11-04 13:29:36,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,490 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:36,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.97, mean=-0.1615, std=2.925, absmax=12.26 +2025-11-04 13:29:36,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.04, mean=-0.169, std=2.784, absmax=12.04 +2025-11-04 13:29:36,850 ERROR: Encountered non-finite generator loss at iter 22271; skipping update. +2025-11-04 13:29:36,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,852 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:36,852 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:36,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=10.28, mean=-0.2677, std=2.576, absmax=11.35 +2025-11-04 13:29:36,853 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=9.527, mean=-0.2362, std=2.453, absmax=11.28 +2025-11-04 13:29:37,211 ERROR: Encountered non-finite generator loss at iter 22272; skipping update. +2025-11-04 13:29:37,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,213 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:37,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=15.15, mean=0.1558, std=3.53, absmax=15.15 +2025-11-04 13:29:37,215 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=13.53, mean=0.1379, std=3.282, absmax=13.53 +2025-11-04 13:29:37,574 ERROR: Encountered non-finite generator loss at iter 22273; skipping update. +2025-11-04 13:29:37,575 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:37,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.42, max=12.51, mean=-0.1457, std=3.045, absmax=14.42 +2025-11-04 13:29:37,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=11.25, mean=-0.1394, std=2.842, absmax=11.27 +2025-11-04 13:29:37,937 ERROR: Encountered non-finite generator loss at iter 22274; skipping update. +2025-11-04 13:29:37,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:37,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:37,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=10.42, mean=-0.2513, std=2.674, absmax=12.64 +2025-11-04 13:29:37,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=9.941, mean=-0.2434, std=2.526, absmax=12.13 +2025-11-04 13:29:38,299 ERROR: Encountered non-finite generator loss at iter 22275; skipping update. +2025-11-04 13:29:38,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:38,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:38,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:38,302 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:38,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.77, mean=-0.1916, std=3.134, absmax=13.77 +2025-11-04 13:29:38,303 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=12.96, mean=-0.147, std=2.935, absmax=13.47 +2025-11-04 13:29:38,662 ERROR: Encountered non-finite generator loss at iter 22276; skipping update. +2025-11-04 13:29:38,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:38,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:38,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:38,665 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:38,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.11, mean=-0.06231, std=2.532, absmax=12 +2025-11-04 13:29:38,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=11.03, mean=-0.07719, std=2.482, absmax=11.03 +2025-11-04 13:29:39,025 ERROR: Encountered non-finite generator loss at iter 22277; skipping update. +2025-11-04 13:29:39,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:39,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=16.3, mean=-0.2286, std=2.878, absmax=16.3 +2025-11-04 13:29:39,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=16.13, mean=-0.2001, std=2.683, absmax=16.13 +2025-11-04 13:29:39,387 ERROR: Encountered non-finite generator loss at iter 22278; skipping update. +2025-11-04 13:29:39,389 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,390 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,390 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:39,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.04, mean=-0.009669, std=3.967, absmax=15.04 +2025-11-04 13:29:39,391 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=14.41, mean=-0.006161, std=3.603, absmax=14.41 +2025-11-04 13:29:39,750 ERROR: Encountered non-finite generator loss at iter 22279; skipping update. +2025-11-04 13:29:39,751 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:39,753 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:39,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.71, max=14.83, mean=-0.2736, std=3.302, absmax=14.83 +2025-11-04 13:29:39,754 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=13.8, mean=-0.2989, std=3.094, absmax=13.8 +2025-11-04 13:29:40,113 ERROR: Encountered non-finite generator loss at iter 22280; skipping update. +2025-11-04 13:29:40,114 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,115 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,115 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:40,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=14.85, mean=-0.1344, std=3.047, absmax=14.85 +2025-11-04 13:29:40,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=12.09, mean=-0.1693, std=2.819, absmax=12.09 +2025-11-04 13:29:40,475 ERROR: Encountered non-finite generator loss at iter 22281; skipping update. +2025-11-04 13:29:40,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:40,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.22, max=11.12, mean=-0.2214, std=2.832, absmax=16.22 +2025-11-04 13:29:40,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=9.396, mean=-0.2254, std=2.632, absmax=13.27 +2025-11-04 13:29:40,838 ERROR: Encountered non-finite generator loss at iter 22282; skipping update. +2025-11-04 13:29:40,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:40,841 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:40,842 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=17.3, mean=-0.1379, std=2.646, absmax=17.3 +2025-11-04 13:29:40,842 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=15.16, mean=-0.1491, std=2.485, absmax=15.16 +2025-11-04 13:29:41,201 ERROR: Encountered non-finite generator loss at iter 22283; skipping update. +2025-11-04 13:29:41,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:41,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=16.5, mean=0.1825, std=3.357, absmax=16.5 +2025-11-04 13:29:41,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=15.26, mean=0.1559, std=3.123, absmax=15.26 +2025-11-04 13:29:41,564 ERROR: Encountered non-finite generator loss at iter 22284; skipping update. +2025-11-04 13:29:41,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:41,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.12, mean=-0.1734, std=3.024, absmax=13.81 +2025-11-04 13:29:41,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=9.755, mean=-0.1978, std=2.749, absmax=13.27 +2025-11-04 13:29:41,926 ERROR: Encountered non-finite generator loss at iter 22285; skipping update. +2025-11-04 13:29:41,928 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:41,929 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:41,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.95, mean=-0.132, std=2.849, absmax=14.95 +2025-11-04 13:29:41,930 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=12.52, mean=-0.1202, std=2.572, absmax=12.52 +2025-11-04 13:29:42,288 ERROR: Encountered non-finite generator loss at iter 22286; skipping update. +2025-11-04 13:29:42,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:42,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:42,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:42,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:42,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=15.63, mean=0.02637, std=3.158, absmax=15.63 +2025-11-04 13:29:42,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=14.06, mean=0.03979, std=2.932, absmax=14.06 +2025-11-04 13:29:42,651 ERROR: Encountered non-finite generator loss at iter 22287; skipping update. +2025-11-04 13:29:42,652 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:42,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:42,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:42,653 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:42,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=15.53, mean=-0.151, std=3.056, absmax=15.53 +2025-11-04 13:29:42,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=13.99, mean=-0.1228, std=2.867, absmax=13.99 +2025-11-04 13:29:43,013 ERROR: Encountered non-finite generator loss at iter 22288; skipping update. +2025-11-04 13:29:43,014 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,015 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:43,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=14.14, mean=-0.1151, std=2.637, absmax=14.14 +2025-11-04 13:29:43,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=10.32, mean=-0.09264, std=2.478, absmax=12.88 +2025-11-04 13:29:43,376 ERROR: Encountered non-finite generator loss at iter 22289; skipping update. +2025-11-04 13:29:43,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:43,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11.26, mean=-0.2339, std=3.038, absmax=13.63 +2025-11-04 13:29:43,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=10.03, mean=-0.2217, std=2.86, absmax=12.95 +2025-11-04 13:29:43,738 ERROR: Encountered non-finite generator loss at iter 22290; skipping update. +2025-11-04 13:29:43,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:43,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:43,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=14.43, mean=-0.05804, std=4.179, absmax=14.43 +2025-11-04 13:29:43,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=13.83, mean=-0.0543, std=3.989, absmax=13.83 +2025-11-04 13:29:44,101 ERROR: Encountered non-finite generator loss at iter 22291; skipping update. +2025-11-04 13:29:44,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,104 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:44,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.75, mean=0.05564, std=2.953, absmax=13.75 +2025-11-04 13:29:44,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.453, max=13.25, mean=0.06255, std=2.775, absmax=13.25 +2025-11-04 13:29:44,465 ERROR: Encountered non-finite generator loss at iter 22292; skipping update. +2025-11-04 13:29:44,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:44,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.53, max=14.3, mean=-0.2037, std=2.584, absmax=15.53 +2025-11-04 13:29:44,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=10.84, mean=-0.1753, std=2.335, absmax=12.48 +2025-11-04 13:29:44,828 ERROR: Encountered non-finite generator loss at iter 22293; skipping update. +2025-11-04 13:29:44,830 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:44,831 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:44,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.78, mean=-0.2276, std=3.173, absmax=13.35 +2025-11-04 13:29:44,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.21, max=10.58, mean=-0.2375, std=3.028, absmax=13.21 +2025-11-04 13:29:45,190 ERROR: Encountered non-finite generator loss at iter 22294; skipping update. +2025-11-04 13:29:45,191 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,192 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,193 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:45,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.71, max=12.54, mean=-0.4183, std=3.457, absmax=16.71 +2025-11-04 13:29:45,194 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.11, max=13.94, mean=-0.3737, std=3.369, absmax=14.11 +2025-11-04 13:29:45,553 ERROR: Encountered non-finite generator loss at iter 22295; skipping update. +2025-11-04 13:29:45,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,555 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:45,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.65, mean=-0.01474, std=3.193, absmax=14.65 +2025-11-04 13:29:45,557 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.83, mean=-0.01918, std=2.93, absmax=12.83 +2025-11-04 13:29:45,916 ERROR: Encountered non-finite generator loss at iter 22296; skipping update. +2025-11-04 13:29:45,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,919 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:45,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:45,920 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.74, mean=-0.1651, std=2.684, absmax=13.08 +2025-11-04 13:29:45,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=10.13, mean=-0.1584, std=2.47, absmax=12.85 +2025-11-04 13:29:46,280 ERROR: Encountered non-finite generator loss at iter 22297; skipping update. +2025-11-04 13:29:46,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:46,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:46,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:46,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:46,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.32, mean=-0.2899, std=3.286, absmax=14.32 +2025-11-04 13:29:46,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=12.01, mean=-0.2618, std=3.058, absmax=12.43 +2025-11-04 13:29:46,643 ERROR: Encountered non-finite generator loss at iter 22298; skipping update. +2025-11-04 13:29:46,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:46,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:46,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:46,646 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:46,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=12.02, mean=-0.1467, std=2.836, absmax=14.76 +2025-11-04 13:29:46,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=10.01, mean=-0.08792, std=2.711, absmax=12.25 +2025-11-04 13:29:47,006 ERROR: Encountered non-finite generator loss at iter 22299; skipping update. +2025-11-04 13:29:47,008 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,009 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,009 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:47,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.13, max=15.46, mean=0.043, std=3.73, absmax=16.13 +2025-11-04 13:29:47,010 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=15.24, mean=0.03802, std=3.415, absmax=15.24 +2025-11-04 13:29:47,369 ERROR: Encountered non-finite generator loss at iter 22300; skipping update. +2025-11-04 13:29:47,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,371 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,371 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:47,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=13.13, mean=-0.2039, std=2.795, absmax=13.13 +2025-11-04 13:29:47,373 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=12.15, mean=-0.1782, std=2.593, absmax=12.15 +2025-11-04 13:29:47,374 INFO: [38..][epoch: 0, step: 22,300, lr:(2.000e-04,)] [eta: 1 day, 5:58:34, time (data): 0.361 (0.000)] +2025-11-04 13:29:47,732 ERROR: Encountered non-finite generator loss at iter 22301; skipping update. +2025-11-04 13:29:47,734 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,735 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:47,735 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:47,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.61, mean=-0.1819, std=2.744, absmax=12.03 +2025-11-04 13:29:47,736 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=10.82, mean=-0.1924, std=2.601, absmax=12.53 +2025-11-04 13:29:48,095 ERROR: Encountered non-finite generator loss at iter 22302; skipping update. +2025-11-04 13:29:48,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:48,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=11.64, mean=-0.2644, std=3.067, absmax=13.72 +2025-11-04 13:29:48,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=12.91, mean=-0.2049, std=2.937, absmax=12.91 +2025-11-04 13:29:48,458 ERROR: Encountered non-finite generator loss at iter 22303; skipping update. +2025-11-04 13:29:48,459 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,460 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,461 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:48,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.45, mean=-0.2629, std=3.049, absmax=14.45 +2025-11-04 13:29:48,462 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.27, mean=-0.2236, std=2.768, absmax=12.27 +2025-11-04 13:29:48,821 ERROR: Encountered non-finite generator loss at iter 22304; skipping update. +2025-11-04 13:29:48,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:48,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:48,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=10.12, mean=-0.2666, std=2.708, absmax=11.53 +2025-11-04 13:29:48,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=9.071, mean=-0.2488, std=2.488, absmax=10.59 +2025-11-04 13:29:49,184 ERROR: Encountered non-finite generator loss at iter 22305; skipping update. +2025-11-04 13:29:49,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:49,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.6, mean=-0.1114, std=3.244, absmax=13.6 +2025-11-04 13:29:49,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=12.98, mean=-0.08734, std=3.116, absmax=13.42 +2025-11-04 13:29:49,547 ERROR: Encountered non-finite generator loss at iter 22306; skipping update. +2025-11-04 13:29:49,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,549 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,550 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:49,550 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=16.48, mean=-0.1328, std=3.083, absmax=16.48 +2025-11-04 13:29:49,551 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=13.21, mean=-0.1249, std=2.954, absmax=13.21 +2025-11-04 13:29:49,909 ERROR: Encountered non-finite generator loss at iter 22307; skipping update. +2025-11-04 13:29:49,910 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,911 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:49,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:49,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=14.77, mean=-0.0689, std=3.433, absmax=14.77 +2025-11-04 13:29:49,913 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=12.82, mean=-0.07403, std=3.118, absmax=12.82 +2025-11-04 13:29:50,272 ERROR: Encountered non-finite generator loss at iter 22308; skipping update. +2025-11-04 13:29:50,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:50,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:50,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:50,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:50,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.52, mean=-0.2105, std=3.65, absmax=14.15 +2025-11-04 13:29:50,276 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=11.57, mean=-0.1984, std=3.309, absmax=13.49 +2025-11-04 13:29:50,635 ERROR: Encountered non-finite generator loss at iter 22309; skipping update. +2025-11-04 13:29:50,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:50,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:50,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:50,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:50,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.84, mean=-0.1841, std=2.788, absmax=12.84 +2025-11-04 13:29:50,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=12.43, mean=-0.2325, std=2.628, absmax=12.43 +2025-11-04 13:29:50,999 ERROR: Encountered non-finite generator loss at iter 22310; skipping update. +2025-11-04 13:29:51,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:51,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.67, mean=-0.1544, std=3.03, absmax=13 +2025-11-04 13:29:51,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=11.01, mean=-0.1502, std=2.768, absmax=12.26 +2025-11-04 13:29:51,362 ERROR: Encountered non-finite generator loss at iter 22311; skipping update. +2025-11-04 13:29:51,363 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,364 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:51,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.59, mean=-0.1382, std=2.518, absmax=12.25 +2025-11-04 13:29:51,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.45, mean=-0.1247, std=2.336, absmax=10.51 +2025-11-04 13:29:51,725 ERROR: Encountered non-finite generator loss at iter 22312; skipping update. +2025-11-04 13:29:51,727 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,728 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:51,728 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:51,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.22, mean=-0.2011, std=2.805, absmax=14.23 +2025-11-04 13:29:51,729 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.32, max=10.5, mean=-0.2234, std=2.627, absmax=13.32 +2025-11-04 13:29:52,088 ERROR: Encountered non-finite generator loss at iter 22313; skipping update. +2025-11-04 13:29:52,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,090 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,091 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:52,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=17.67, mean=-0.2522, std=3.242, absmax=17.67 +2025-11-04 13:29:52,092 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=17.2, mean=-0.2458, std=2.961, absmax=17.2 +2025-11-04 13:29:52,451 ERROR: Encountered non-finite generator loss at iter 22314; skipping update. +2025-11-04 13:29:52,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,454 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:52,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=18.73, mean=-0.1822, std=3.347, absmax=18.73 +2025-11-04 13:29:52,455 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=16.81, mean=-0.1904, std=3.144, absmax=16.81 +2025-11-04 13:29:52,814 ERROR: Encountered non-finite generator loss at iter 22315; skipping update. +2025-11-04 13:29:52,815 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,816 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:52,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:52,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.99, mean=0.09839, std=3.268, absmax=13.99 +2025-11-04 13:29:52,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=13.76, mean=0.1248, std=3.159, absmax=13.76 +2025-11-04 13:29:53,177 ERROR: Encountered non-finite generator loss at iter 22316; skipping update. +2025-11-04 13:29:53,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:53,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=14.25, mean=-0.07452, std=3.451, absmax=14.25 +2025-11-04 13:29:53,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=14.17, mean=-0.07394, std=3.316, absmax=14.17 +2025-11-04 13:29:53,541 ERROR: Encountered non-finite generator loss at iter 22317; skipping update. +2025-11-04 13:29:53,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:53,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=15.14, mean=-0.1271, std=3.118, absmax=15.14 +2025-11-04 13:29:53,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=13.24, mean=-0.05564, std=2.93, absmax=13.24 +2025-11-04 13:29:53,907 ERROR: Encountered non-finite generator loss at iter 22318; skipping update. +2025-11-04 13:29:53,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:53,911 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:53,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=17.59, mean=-0.02592, std=3.271, absmax=17.59 +2025-11-04 13:29:53,913 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=13.12, mean=-0.04712, std=3.057, absmax=13.12 +2025-11-04 13:29:54,278 ERROR: Encountered non-finite generator loss at iter 22319; skipping update. +2025-11-04 13:29:54,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:54,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:54,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:54,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:54,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=14.9, mean=-0.06216, std=3.109, absmax=14.9 +2025-11-04 13:29:54,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=13.96, mean=-0.03978, std=2.92, absmax=13.96 +2025-11-04 13:29:54,647 ERROR: Encountered non-finite generator loss at iter 22320; skipping update. +2025-11-04 13:29:54,648 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:54,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:54,650 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:54,651 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:54,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.76, mean=-0.01295, std=3.036, absmax=12.76 +2025-11-04 13:29:54,654 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.29, mean=-0.04086, std=2.856, absmax=12.29 +2025-11-04 13:29:55,017 ERROR: Encountered non-finite generator loss at iter 22321; skipping update. +2025-11-04 13:29:55,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:55,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.52, mean=-0.1929, std=2.665, absmax=12.63 +2025-11-04 13:29:55,022 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.53, mean=-0.2137, std=2.48, absmax=11.69 +2025-11-04 13:29:55,385 ERROR: Encountered non-finite generator loss at iter 22322; skipping update. +2025-11-04 13:29:55,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:55,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.44, mean=-0.2779, std=3.084, absmax=13.44 +2025-11-04 13:29:55,390 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=11.36, mean=-0.2401, std=2.806, absmax=12.09 +2025-11-04 13:29:55,752 ERROR: Encountered non-finite generator loss at iter 22323; skipping update. +2025-11-04 13:29:55,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:55,754 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:55,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=16.61, mean=-0.1451, std=2.945, absmax=16.61 +2025-11-04 13:29:55,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=12.77, mean=-0.1521, std=2.731, absmax=12.77 +2025-11-04 13:29:56,118 ERROR: Encountered non-finite generator loss at iter 22324; skipping update. +2025-11-04 13:29:56,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:56,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.29, mean=-0.3082, std=2.881, absmax=12.51 +2025-11-04 13:29:56,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=8.598, mean=-0.2779, std=2.739, absmax=12.02 +2025-11-04 13:29:56,486 ERROR: Encountered non-finite generator loss at iter 22325; skipping update. +2025-11-04 13:29:56,487 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,488 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,489 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:56,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=17.29, mean=-0.1319, std=3.095, absmax=17.29 +2025-11-04 13:29:56,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=13.72, mean=-0.09896, std=2.929, absmax=13.72 +2025-11-04 13:29:56,855 ERROR: Encountered non-finite generator loss at iter 22326; skipping update. +2025-11-04 13:29:56,856 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:56,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:56,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=10.65, mean=-0.186, std=2.943, absmax=15.07 +2025-11-04 13:29:56,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.15, max=9.086, mean=-0.1885, std=2.809, absmax=14.15 +2025-11-04 13:29:57,224 ERROR: Encountered non-finite generator loss at iter 22327; skipping update. +2025-11-04 13:29:57,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,227 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:57,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.66, mean=-0.2225, std=3.477, absmax=13.68 +2025-11-04 13:29:57,228 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=13.1, mean=-0.2185, std=3.166, absmax=13.1 +2025-11-04 13:29:57,592 ERROR: Encountered non-finite generator loss at iter 22328; skipping update. +2025-11-04 13:29:57,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:57,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=14.51, mean=-0.2197, std=2.579, absmax=14.51 +2025-11-04 13:29:57,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.25, mean=-0.1751, std=2.337, absmax=12.25 +2025-11-04 13:29:57,960 ERROR: Encountered non-finite generator loss at iter 22329; skipping update. +2025-11-04 13:29:57,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:57,962 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:57,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.39, max=15.12, mean=-0.2169, std=2.506, absmax=15.12 +2025-11-04 13:29:57,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=13.06, mean=-0.2142, std=2.257, absmax=13.06 +2025-11-04 13:29:58,328 ERROR: Encountered non-finite generator loss at iter 22330; skipping update. +2025-11-04 13:29:58,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:58,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:58,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:58,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:58,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=14.55, mean=0.1171, std=3.727, absmax=14.55 +2025-11-04 13:29:58,333 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=13.04, mean=0.1202, std=3.402, absmax=13.15 +2025-11-04 13:29:58,695 ERROR: Encountered non-finite generator loss at iter 22331; skipping update. +2025-11-04 13:29:58,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:58,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:58,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:58,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:58,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.07, mean=-0.06343, std=2.746, absmax=13.07 +2025-11-04 13:29:58,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=9.659, mean=-0.07048, std=2.544, absmax=11.44 +2025-11-04 13:29:59,063 ERROR: Encountered non-finite generator loss at iter 22332; skipping update. +2025-11-04 13:29:59,065 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,066 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,067 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:59,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=11.95, mean=-0.2857, std=2.717, absmax=14.43 +2025-11-04 13:29:59,068 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=10.99, mean=-0.2754, std=2.489, absmax=11.77 +2025-11-04 13:29:59,432 ERROR: Encountered non-finite generator loss at iter 22333; skipping update. +2025-11-04 13:29:59,433 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:59,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=11.42, mean=-0.1889, std=2.955, absmax=13.72 +2025-11-04 13:29:59,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=10.82, mean=-0.175, std=2.757, absmax=12.68 +2025-11-04 13:29:59,799 ERROR: Encountered non-finite generator loss at iter 22334; skipping update. +2025-11-04 13:29:59,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:29:59,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:29:59,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.65, mean=-0.217, std=2.525, absmax=12.65 +2025-11-04 13:29:59,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=11.58, mean=-0.1846, std=2.37, absmax=11.58 +2025-11-04 13:30:00,167 ERROR: Encountered non-finite generator loss at iter 22335; skipping update. +2025-11-04 13:30:00,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:00,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.14, max=13.83, mean=-0.2659, std=3.179, absmax=17.14 +2025-11-04 13:30:00,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.18, mean=-0.233, std=2.992, absmax=11.65 +2025-11-04 13:30:00,535 ERROR: Encountered non-finite generator loss at iter 22336; skipping update. +2025-11-04 13:30:00,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:00,539 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=10.8, mean=-0.3331, std=2.568, absmax=12.89 +2025-11-04 13:30:00,540 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.314, mean=-0.2921, std=2.47, absmax=11.27 +2025-11-04 13:30:00,899 ERROR: Encountered non-finite generator loss at iter 22337; skipping update. +2025-11-04 13:30:00,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,901 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:00,902 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:00,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.27, mean=0.04368, std=3.257, absmax=14.27 +2025-11-04 13:30:00,903 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=12.99, mean=0.02498, std=3.037, absmax=12.99 +2025-11-04 13:30:01,263 ERROR: Encountered non-finite generator loss at iter 22338; skipping update. +2025-11-04 13:30:01,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:01,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.26, mean=-0.173, std=3.677, absmax=14.26 +2025-11-04 13:30:01,267 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=12.68, mean=-0.1777, std=3.487, absmax=12.68 +2025-11-04 13:30:01,626 ERROR: Encountered non-finite generator loss at iter 22339; skipping update. +2025-11-04 13:30:01,627 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,628 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:01,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.29, mean=-0.2369, std=3.045, absmax=12.52 +2025-11-04 13:30:01,630 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.09, mean=-0.2263, std=2.782, absmax=11.69 +2025-11-04 13:30:01,989 ERROR: Encountered non-finite generator loss at iter 22340; skipping update. +2025-11-04 13:30:01,990 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,991 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:01,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:01,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=13.89, mean=-0.2241, std=3.275, absmax=13.89 +2025-11-04 13:30:01,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.1, mean=-0.1766, std=3.111, absmax=11.79 +2025-11-04 13:30:02,356 ERROR: Encountered non-finite generator loss at iter 22341; skipping update. +2025-11-04 13:30:02,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:02,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:02,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:02,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:02,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.54, mean=-0.01161, std=3.16, absmax=12.92 +2025-11-04 13:30:02,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.99, mean=0.0209, std=2.877, absmax=11.18 +2025-11-04 13:30:02,720 ERROR: Encountered non-finite generator loss at iter 22342; skipping update. +2025-11-04 13:30:02,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:02,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:02,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:02,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:02,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.92, mean=-0.2004, std=3.188, absmax=13.92 +2025-11-04 13:30:02,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=12.24, mean=-0.2201, std=2.951, absmax=12.24 +2025-11-04 13:30:03,083 ERROR: Encountered non-finite generator loss at iter 22343; skipping update. +2025-11-04 13:30:03,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,086 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:03,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=12.2, mean=-0.2183, std=2.413, absmax=12.2 +2025-11-04 13:30:03,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=12.03, mean=-0.1689, std=2.333, absmax=12.03 +2025-11-04 13:30:03,447 ERROR: Encountered non-finite generator loss at iter 22344; skipping update. +2025-11-04 13:30:03,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,450 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:03,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=11.75, mean=-0.1142, std=3.205, absmax=13.47 +2025-11-04 13:30:03,451 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=9.717, mean=-0.1114, std=2.901, absmax=13.42 +2025-11-04 13:30:03,810 ERROR: Encountered non-finite generator loss at iter 22345; skipping update. +2025-11-04 13:30:03,811 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,812 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:03,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:03,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=15.44, mean=-0.3092, std=3.172, absmax=15.44 +2025-11-04 13:30:03,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=14.32, mean=-0.2692, std=2.954, absmax=14.32 +2025-11-04 13:30:04,173 ERROR: Encountered non-finite generator loss at iter 22346; skipping update. +2025-11-04 13:30:04,174 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:04,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.93, mean=-0.1569, std=3.027, absmax=12.86 +2025-11-04 13:30:04,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.33, mean=-0.158, std=2.805, absmax=12.62 +2025-11-04 13:30:04,537 ERROR: Encountered non-finite generator loss at iter 22347; skipping update. +2025-11-04 13:30:04,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,540 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:04,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=17.08, mean=-0.09264, std=3.218, absmax=17.08 +2025-11-04 13:30:04,542 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.51, mean=-0.08733, std=2.966, absmax=12.51 +2025-11-04 13:30:04,901 ERROR: Encountered non-finite generator loss at iter 22348; skipping update. +2025-11-04 13:30:04,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:04,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:04,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.57, mean=-0.3194, std=2.647, absmax=12.78 +2025-11-04 13:30:04,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=9.394, mean=-0.3269, std=2.438, absmax=11.77 +2025-11-04 13:30:05,264 ERROR: Encountered non-finite generator loss at iter 22349; skipping update. +2025-11-04 13:30:05,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:05,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.6, mean=-0.1416, std=2.906, absmax=11.92 +2025-11-04 13:30:05,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=10.89, mean=-0.07519, std=2.746, absmax=11.15 +2025-11-04 13:30:05,628 ERROR: Encountered non-finite generator loss at iter 22350; skipping update. +2025-11-04 13:30:05,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:05,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=9.686, mean=-0.2909, std=2.748, absmax=12.79 +2025-11-04 13:30:05,632 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=9.518, mean=-0.2877, std=2.626, absmax=11.5 +2025-11-04 13:30:05,990 ERROR: Encountered non-finite generator loss at iter 22351; skipping update. +2025-11-04 13:30:05,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:05,993 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:05,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.76, mean=-0.3644, std=2.466, absmax=12.76 +2025-11-04 13:30:05,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.02, mean=-0.3396, std=2.431, absmax=12.02 +2025-11-04 13:30:06,353 ERROR: Encountered non-finite generator loss at iter 22352; skipping update. +2025-11-04 13:30:06,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:06,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:06,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:06,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:06,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.71, max=13.22, mean=-0.3614, std=3.584, absmax=15.71 +2025-11-04 13:30:06,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.6, max=11.5, mean=-0.3196, std=3.479, absmax=14.6 +2025-11-04 13:30:06,738 ERROR: Encountered non-finite generator loss at iter 22353; skipping update. +2025-11-04 13:30:06,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:06,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:06,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:06,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:06,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=13.92, mean=-0.1585, std=2.559, absmax=14.29 +2025-11-04 13:30:06,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=12.68, mean=-0.1563, std=2.338, absmax=12.68 +2025-11-04 13:30:07,102 ERROR: Encountered non-finite generator loss at iter 22354; skipping update. +2025-11-04 13:30:07,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,104 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:07,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.37, mean=-0.1674, std=2.705, absmax=11.64 +2025-11-04 13:30:07,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=8.909, mean=-0.1696, std=2.4, absmax=10.71 +2025-11-04 13:30:07,465 ERROR: Encountered non-finite generator loss at iter 22355; skipping update. +2025-11-04 13:30:07,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:07,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=14.41, mean=0.02272, std=3.483, absmax=14.41 +2025-11-04 13:30:07,472 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=13.08, mean=0.002329, std=3.134, absmax=13.25 +2025-11-04 13:30:07,850 ERROR: Encountered non-finite generator loss at iter 22356; skipping update. +2025-11-04 13:30:07,852 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:07,853 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:07,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=10.73, mean=-0.3492, std=2.764, absmax=11.76 +2025-11-04 13:30:07,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=9.562, mean=-0.3511, std=2.712, absmax=11.12 +2025-11-04 13:30:08,217 ERROR: Encountered non-finite generator loss at iter 22357; skipping update. +2025-11-04 13:30:08,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,220 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,220 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:08,221 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=14.14, mean=-0.1797, std=3.302, absmax=14.16 +2025-11-04 13:30:08,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=12.1, mean=-0.1721, std=3.069, absmax=13.22 +2025-11-04 13:30:08,581 ERROR: Encountered non-finite generator loss at iter 22358; skipping update. +2025-11-04 13:30:08,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:08,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.62, mean=-0.1773, std=2.834, absmax=13.62 +2025-11-04 13:30:08,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=13.92, mean=-0.2076, std=2.64, absmax=13.92 +2025-11-04 13:30:08,944 ERROR: Encountered non-finite generator loss at iter 22359; skipping update. +2025-11-04 13:30:08,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:08,946 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:08,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=11.69, mean=-0.2066, std=3.026, absmax=12.25 +2025-11-04 13:30:08,947 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=10.82, mean=-0.1943, std=2.815, absmax=11.53 +2025-11-04 13:30:09,307 ERROR: Encountered non-finite generator loss at iter 22360; skipping update. +2025-11-04 13:30:09,308 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:09,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:09,309 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:09,310 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:09,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.31, mean=-0.2377, std=3.481, absmax=13.39 +2025-11-04 13:30:09,311 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=12.83, mean=-0.197, std=3.264, absmax=13.07 +2025-11-04 13:30:09,669 ERROR: Encountered non-finite generator loss at iter 22361; skipping update. +2025-11-04 13:30:09,671 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:09,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:09,672 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:09,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:09,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.1, mean=-0.1091, std=3.108, absmax=14.1 +2025-11-04 13:30:09,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=13, mean=-0.03766, std=2.882, absmax=13 +2025-11-04 13:30:10,032 ERROR: Encountered non-finite generator loss at iter 22362; skipping update. +2025-11-04 13:30:10,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:10,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.37, mean=-0.07059, std=3.191, absmax=14.37 +2025-11-04 13:30:10,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.9, mean=-0.0904, std=3.018, absmax=12.9 +2025-11-04 13:30:10,396 ERROR: Encountered non-finite generator loss at iter 22363; skipping update. +2025-11-04 13:30:10,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:10,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.3, mean=-0.00329, std=3.281, absmax=12.7 +2025-11-04 13:30:10,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.53, mean=-0.01511, std=2.999, absmax=11.53 +2025-11-04 13:30:10,759 ERROR: Encountered non-finite generator loss at iter 22364; skipping update. +2025-11-04 13:30:10,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,761 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:10,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:10,762 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=12.19, mean=-0.204, std=2.868, absmax=15.72 +2025-11-04 13:30:10,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.29, mean=-0.1583, std=2.724, absmax=11.29 +2025-11-04 13:30:11,121 ERROR: Encountered non-finite generator loss at iter 22365; skipping update. +2025-11-04 13:30:11,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:11,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=12.43, mean=-0.2941, std=3.094, absmax=13.69 +2025-11-04 13:30:11,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=9.496, mean=-0.2571, std=2.824, absmax=12.67 +2025-11-04 13:30:11,484 ERROR: Encountered non-finite generator loss at iter 22366; skipping update. +2025-11-04 13:30:11,485 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,486 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,486 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:11,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=10.8, mean=-0.2433, std=2.764, absmax=13.22 +2025-11-04 13:30:11,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=10.41, mean=-0.2652, std=2.635, absmax=12.21 +2025-11-04 13:30:11,847 ERROR: Encountered non-finite generator loss at iter 22367; skipping update. +2025-11-04 13:30:11,848 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,849 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:11,849 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:11,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.52, mean=-0.02288, std=3.422, absmax=13.13 +2025-11-04 13:30:11,850 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=11.52, mean=-0.07394, std=3.163, absmax=12.51 +2025-11-04 13:30:12,209 ERROR: Encountered non-finite generator loss at iter 22368; skipping update. +2025-11-04 13:30:12,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:12,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.88, mean=-0.04496, std=2.729, absmax=12.54 +2025-11-04 13:30:12,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=10.65, mean=-0.03398, std=2.505, absmax=10.65 +2025-11-04 13:30:12,571 ERROR: Encountered non-finite generator loss at iter 22369; skipping update. +2025-11-04 13:30:12,572 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,573 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,574 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:12,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.38, mean=-0.3077, std=2.488, absmax=11.45 +2025-11-04 13:30:12,575 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=10.08, mean=-0.2676, std=2.339, absmax=11.66 +2025-11-04 13:30:12,933 ERROR: Encountered non-finite generator loss at iter 22370; skipping update. +2025-11-04 13:30:12,934 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,935 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:12,935 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:12,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.76, mean=-0.1538, std=3.131, absmax=13.76 +2025-11-04 13:30:12,937 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=12.34, mean=-0.1159, std=2.883, absmax=12.51 +2025-11-04 13:30:13,295 ERROR: Encountered non-finite generator loss at iter 22371; skipping update. +2025-11-04 13:30:13,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:13,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:13,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:13,297 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:13,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.86, mean=-0.1521, std=3.109, absmax=12.86 +2025-11-04 13:30:13,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.99, mean=-0.1269, std=2.848, absmax=11.6 +2025-11-04 13:30:13,657 ERROR: Encountered non-finite generator loss at iter 22372; skipping update. +2025-11-04 13:30:13,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:13,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:13,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:13,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:13,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.87, mean=-0.1521, std=3.308, absmax=14.8 +2025-11-04 13:30:13,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=13.06, mean=-0.1363, std=3.067, absmax=13.06 +2025-11-04 13:30:14,019 ERROR: Encountered non-finite generator loss at iter 22373; skipping update. +2025-11-04 13:30:14,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,021 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,022 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:14,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=12.72, mean=-0.2688, std=2.781, absmax=12.72 +2025-11-04 13:30:14,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.51, mean=-0.3008, std=2.573, absmax=11.51 +2025-11-04 13:30:14,384 ERROR: Encountered non-finite generator loss at iter 22374; skipping update. +2025-11-04 13:30:14,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,387 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:14,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=15.81, mean=0.06931, std=3.604, absmax=15.81 +2025-11-04 13:30:14,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=13.19, mean=0.04274, std=3.231, absmax=13.19 +2025-11-04 13:30:14,748 ERROR: Encountered non-finite generator loss at iter 22375; skipping update. +2025-11-04 13:30:14,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:14,751 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:14,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=10.77, mean=-0.2523, std=2.998, absmax=12.79 +2025-11-04 13:30:14,753 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=8.863, mean=-0.2426, std=2.77, absmax=10.87 +2025-11-04 13:30:15,113 ERROR: Encountered non-finite generator loss at iter 22376; skipping update. +2025-11-04 13:30:15,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,115 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,116 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:15,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.44, mean=-0.1778, std=2.678, absmax=12.44 +2025-11-04 13:30:15,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.55, mean=-0.1635, std=2.582, absmax=11.55 +2025-11-04 13:30:15,477 ERROR: Encountered non-finite generator loss at iter 22377; skipping update. +2025-11-04 13:30:15,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:15,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.66, mean=-0.1853, std=2.684, absmax=12.41 +2025-11-04 13:30:15,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=9.347, mean=-0.152, std=2.567, absmax=11.56 +2025-11-04 13:30:15,840 ERROR: Encountered non-finite generator loss at iter 22378; skipping update. +2025-11-04 13:30:15,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:15,842 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:15,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=10.8, mean=-0.4496, std=3.126, absmax=13.2 +2025-11-04 13:30:15,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=9.668, mean=-0.386, std=3.025, absmax=13.04 +2025-11-04 13:30:16,200 ERROR: Encountered non-finite generator loss at iter 22379; skipping update. +2025-11-04 13:30:16,201 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,202 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,203 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:16,203 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.26, mean=-0.1615, std=3.001, absmax=13.26 +2025-11-04 13:30:16,204 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.42, mean=-0.1351, std=2.853, absmax=12.42 +2025-11-04 13:30:16,560 ERROR: Encountered non-finite generator loss at iter 22380; skipping update. +2025-11-04 13:30:16,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:16,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.98, mean=-0.06082, std=2.601, absmax=12.98 +2025-11-04 13:30:16,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.27, mean=-0.06105, std=2.48, absmax=11.27 +2025-11-04 13:30:16,921 ERROR: Encountered non-finite generator loss at iter 22381; skipping update. +2025-11-04 13:30:16,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:16,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:16,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.01, mean=-0.337, std=2.836, absmax=14.09 +2025-11-04 13:30:16,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=9.824, mean=-0.3184, std=2.696, absmax=12.81 +2025-11-04 13:30:17,280 ERROR: Encountered non-finite generator loss at iter 22382; skipping update. +2025-11-04 13:30:17,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:17,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:17,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:17,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:17,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=13.51, mean=-0.195, std=3.056, absmax=13.51 +2025-11-04 13:30:17,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.52, mean=-0.2122, std=2.857, absmax=11.91 +2025-11-04 13:30:17,640 ERROR: Encountered non-finite generator loss at iter 22383; skipping update. +2025-11-04 13:30:17,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:17,641 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:17,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:17,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:17,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.56, mean=-0.2463, std=2.536, absmax=13.52 +2025-11-04 13:30:17,643 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.849, max=9.893, mean=-0.2415, std=2.426, absmax=9.893 +2025-11-04 13:30:18,000 ERROR: Encountered non-finite generator loss at iter 22384; skipping update. +2025-11-04 13:30:18,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:18,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.63, mean=-0.06483, std=3.051, absmax=14.63 +2025-11-04 13:30:18,003 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=12.04, mean=-0.03141, std=2.813, absmax=12.2 +2025-11-04 13:30:18,360 ERROR: Encountered non-finite generator loss at iter 22385; skipping update. +2025-11-04 13:30:18,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:18,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.43, mean=0.06276, std=3.373, absmax=14.43 +2025-11-04 13:30:18,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.69, mean=0.07359, std=3.055, absmax=11.69 +2025-11-04 13:30:18,720 ERROR: Encountered non-finite generator loss at iter 22386; skipping update. +2025-11-04 13:30:18,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:18,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:18,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.91, mean=-0.1227, std=2.834, absmax=12.91 +2025-11-04 13:30:18,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.79, mean=-0.1157, std=2.522, absmax=11.79 +2025-11-04 13:30:19,080 ERROR: Encountered non-finite generator loss at iter 22387; skipping update. +2025-11-04 13:30:19,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:19,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.54, mean=-0.246, std=3.124, absmax=12.54 +2025-11-04 13:30:19,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.96, max=10.59, mean=-0.2867, std=2.999, absmax=12.96 +2025-11-04 13:30:19,440 ERROR: Encountered non-finite generator loss at iter 22388; skipping update. +2025-11-04 13:30:19,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:19,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.49, max=11.64, mean=-0.1822, std=2.593, absmax=11.64 +2025-11-04 13:30:19,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.698, max=8.542, mean=-0.1799, std=2.34, absmax=9.698 +2025-11-04 13:30:19,799 ERROR: Encountered non-finite generator loss at iter 22389; skipping update. +2025-11-04 13:30:19,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,801 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:19,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:19,802 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.42, mean=-0.1161, std=2.87, absmax=15.42 +2025-11-04 13:30:19,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.89, mean=-0.1079, std=2.665, absmax=12.89 +2025-11-04 13:30:20,159 ERROR: Encountered non-finite generator loss at iter 22390; skipping update. +2025-11-04 13:30:20,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:20,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.03, mean=-0.3064, std=2.503, absmax=12.61 +2025-11-04 13:30:20,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=10.11, mean=-0.3013, std=2.368, absmax=11.72 +2025-11-04 13:30:20,519 ERROR: Encountered non-finite generator loss at iter 22391; skipping update. +2025-11-04 13:30:20,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:20,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=15.13, mean=0.1411, std=3.885, absmax=15.13 +2025-11-04 13:30:20,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=13.43, mean=0.1155, std=3.578, absmax=13.43 +2025-11-04 13:30:20,879 ERROR: Encountered non-finite generator loss at iter 22392; skipping update. +2025-11-04 13:30:20,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:20,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:20,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.39, mean=-0.08874, std=3.204, absmax=15.39 +2025-11-04 13:30:20,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.99, mean=-0.0578, std=2.974, absmax=12.99 +2025-11-04 13:30:21,239 ERROR: Encountered non-finite generator loss at iter 22393; skipping update. +2025-11-04 13:30:21,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:21,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.48, mean=-0.2567, std=2.791, absmax=14.48 +2025-11-04 13:30:21,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.97, mean=-0.2428, std=2.509, absmax=11.97 +2025-11-04 13:30:21,600 ERROR: Encountered non-finite generator loss at iter 22394; skipping update. +2025-11-04 13:30:21,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:21,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.12, mean=-0.1864, std=2.958, absmax=14.12 +2025-11-04 13:30:21,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.97, mean=-0.1479, std=2.7, absmax=11.97 +2025-11-04 13:30:21,959 ERROR: Encountered non-finite generator loss at iter 22395; skipping update. +2025-11-04 13:30:21,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,960 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:21,960 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:21,961 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.24, mean=-0.3547, std=3.835, absmax=14.24 +2025-11-04 13:30:21,961 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=10.55, mean=-0.3392, std=3.554, absmax=12.3 +2025-11-04 13:30:22,318 ERROR: Encountered non-finite generator loss at iter 22396; skipping update. +2025-11-04 13:30:22,319 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:22,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:22,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:22,320 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:22,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.26, mean=-0.0964, std=3.379, absmax=13.36 +2025-11-04 13:30:22,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=11.67, mean=-0.1237, std=3.187, absmax=13.4 +2025-11-04 13:30:22,678 ERROR: Encountered non-finite generator loss at iter 22397; skipping update. +2025-11-04 13:30:22,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:22,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:22,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:22,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:22,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.21, mean=-0.2095, std=3.201, absmax=14.21 +2025-11-04 13:30:22,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=12.04, mean=-0.167, std=3.077, absmax=12.3 +2025-11-04 13:30:23,038 ERROR: Encountered non-finite generator loss at iter 22398; skipping update. +2025-11-04 13:30:23,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:23,041 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.18, mean=-0.3777, std=3.6, absmax=13.18 +2025-11-04 13:30:23,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=11.24, mean=-0.3668, std=3.338, absmax=12.71 +2025-11-04 13:30:23,398 ERROR: Encountered non-finite generator loss at iter 22399; skipping update. +2025-11-04 13:30:23,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:23,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.75, mean=-0.2292, std=3.128, absmax=13.33 +2025-11-04 13:30:23,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.46, mean=-0.1842, std=2.816, absmax=11.46 +2025-11-04 13:30:23,759 ERROR: Encountered non-finite generator loss at iter 22400; skipping update. +2025-11-04 13:30:23,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:23,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:23,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.37, mean=-0.2366, std=2.805, absmax=12.37 +2025-11-04 13:30:23,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=12.22, mean=-0.238, std=2.603, absmax=12.22 +2025-11-04 13:30:23,762 INFO: [38..][epoch: 0, step: 22,400, lr:(2.000e-04,)] [eta: 1 day, 5:51:34, time (data): 0.364 (0.000)] +2025-11-04 13:30:24,119 ERROR: Encountered non-finite generator loss at iter 22401; skipping update. +2025-11-04 13:30:24,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,121 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:24,122 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.09, mean=0.03025, std=3.175, absmax=14.09 +2025-11-04 13:30:24,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=13.36, mean=0.02613, std=3.022, absmax=13.36 +2025-11-04 13:30:24,480 ERROR: Encountered non-finite generator loss at iter 22402; skipping update. +2025-11-04 13:30:24,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:24,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=10.3, mean=-0.1641, std=2.691, absmax=12.93 +2025-11-04 13:30:24,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=9.495, mean=-0.1824, std=2.521, absmax=13.19 +2025-11-04 13:30:24,840 ERROR: Encountered non-finite generator loss at iter 22403; skipping update. +2025-11-04 13:30:24,841 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,842 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:24,842 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:24,843 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.17, mean=0.001223, std=3.394, absmax=14.17 +2025-11-04 13:30:24,843 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=13.45, mean=-0.03817, std=3.078, absmax=13.45 +2025-11-04 13:30:25,201 ERROR: Encountered non-finite generator loss at iter 22404; skipping update. +2025-11-04 13:30:25,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:25,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.8, mean=-0.2405, std=2.641, absmax=11.96 +2025-11-04 13:30:25,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=9.897, mean=-0.2805, std=2.427, absmax=10.32 +2025-11-04 13:30:25,562 ERROR: Encountered non-finite generator loss at iter 22405; skipping update. +2025-11-04 13:30:25,563 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,564 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:25,565 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.84, mean=-0.1209, std=3.249, absmax=13.03 +2025-11-04 13:30:25,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=10.54, mean=-0.1217, std=3.152, absmax=11.41 +2025-11-04 13:30:25,923 ERROR: Encountered non-finite generator loss at iter 22406; skipping update. +2025-11-04 13:30:25,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,924 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:25,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:25,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.41, max=14.48, mean=0.0254, std=3.573, absmax=16.41 +2025-11-04 13:30:25,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.11, max=13.5, mean=0.03073, std=3.234, absmax=14.11 +2025-11-04 13:30:26,283 ERROR: Encountered non-finite generator loss at iter 22407; skipping update. +2025-11-04 13:30:26,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:26,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:26,285 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:26,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:26,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.04, mean=0.173, std=3.022, absmax=14.04 +2025-11-04 13:30:26,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=11.61, mean=0.2076, std=2.94, absmax=13.37 +2025-11-04 13:30:26,643 ERROR: Encountered non-finite generator loss at iter 22408; skipping update. +2025-11-04 13:30:26,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:26,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:26,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:26,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:26,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=14.11, mean=-0.1956, std=2.952, absmax=14.11 +2025-11-04 13:30:26,647 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=12.4, mean=-0.161, std=2.68, absmax=12.4 +2025-11-04 13:30:27,003 ERROR: Encountered non-finite generator loss at iter 22409; skipping update. +2025-11-04 13:30:27,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:27,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.4, mean=-0.2548, std=2.619, absmax=13.44 +2025-11-04 13:30:27,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.29, mean=-0.2301, std=2.409, absmax=11.32 +2025-11-04 13:30:27,363 ERROR: Encountered non-finite generator loss at iter 22410; skipping update. +2025-11-04 13:30:27,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:27,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.11, mean=-0.02937, std=3.012, absmax=13.11 +2025-11-04 13:30:27,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=12.34, mean=-0.03076, std=2.721, absmax=12.34 +2025-11-04 13:30:27,723 ERROR: Encountered non-finite generator loss at iter 22411; skipping update. +2025-11-04 13:30:27,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:27,725 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:27,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.62, mean=-0.03731, std=2.887, absmax=13.62 +2025-11-04 13:30:27,726 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.756, max=12.28, mean=-0.05179, std=2.732, absmax=12.28 +2025-11-04 13:30:28,083 ERROR: Encountered non-finite generator loss at iter 22412; skipping update. +2025-11-04 13:30:28,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:28,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=14.19, mean=0.002335, std=3.504, absmax=14.19 +2025-11-04 13:30:28,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=13.14, mean=0.01387, std=3.296, absmax=13.14 +2025-11-04 13:30:28,443 ERROR: Encountered non-finite generator loss at iter 22413; skipping update. +2025-11-04 13:30:28,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:28,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=16.62, mean=-0.1769, std=3.123, absmax=16.62 +2025-11-04 13:30:28,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=14.69, mean=-0.2623, std=2.982, absmax=14.69 +2025-11-04 13:30:28,803 ERROR: Encountered non-finite generator loss at iter 22414; skipping update. +2025-11-04 13:30:28,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:28,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:28,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=13.04, mean=-0.1768, std=2.959, absmax=13.04 +2025-11-04 13:30:28,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=11.73, mean=-0.1269, std=2.787, absmax=11.73 +2025-11-04 13:30:29,163 ERROR: Encountered non-finite generator loss at iter 22415; skipping update. +2025-11-04 13:30:29,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:29,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.51, mean=-0.2445, std=3.408, absmax=13.56 +2025-11-04 13:30:29,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.11, mean=-0.217, std=3.141, absmax=12.81 +2025-11-04 13:30:29,524 ERROR: Encountered non-finite generator loss at iter 22416; skipping update. +2025-11-04 13:30:29,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:29,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=11.32, mean=-0.3109, std=2.471, absmax=11.32 +2025-11-04 13:30:29,527 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=9.189, mean=-0.3129, std=2.354, absmax=10.73 +2025-11-04 13:30:29,885 ERROR: Encountered non-finite generator loss at iter 22417; skipping update. +2025-11-04 13:30:29,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:29,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:29,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.65, max=14.26, mean=-0.03918, std=3.069, absmax=15.65 +2025-11-04 13:30:29,888 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=13.01, mean=-0.01197, std=2.897, absmax=13.01 +2025-11-04 13:30:30,245 ERROR: Encountered non-finite generator loss at iter 22418; skipping update. +2025-11-04 13:30:30,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,248 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:30,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=13.51, mean=-0.2279, std=3.636, absmax=14.78 +2025-11-04 13:30:30,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.65, max=11.68, mean=-0.1953, std=3.4, absmax=14.65 +2025-11-04 13:30:30,606 ERROR: Encountered non-finite generator loss at iter 22419; skipping update. +2025-11-04 13:30:30,607 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,607 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,608 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:30,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=13.52, mean=-0.03811, std=2.843, absmax=13.52 +2025-11-04 13:30:30,609 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=11.44, mean=-0.03857, std=2.617, absmax=11.44 +2025-11-04 13:30:30,965 ERROR: Encountered non-finite generator loss at iter 22420; skipping update. +2025-11-04 13:30:30,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:30,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:30,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.19, mean=-0.2207, std=3.187, absmax=14.19 +2025-11-04 13:30:30,969 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.02, max=12.85, mean=-0.1876, std=3.018, absmax=15.02 +2025-11-04 13:30:31,325 ERROR: Encountered non-finite generator loss at iter 22421; skipping update. +2025-11-04 13:30:31,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:31,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:31,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:31,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:31,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=11.22, mean=-0.2806, std=3.457, absmax=15.15 +2025-11-04 13:30:31,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=11.22, mean=-0.2551, std=3.223, absmax=13.72 +2025-11-04 13:30:31,685 ERROR: Encountered non-finite generator loss at iter 22422; skipping update. +2025-11-04 13:30:31,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:31,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:31,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:31,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:31,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=15.12, mean=0.05965, std=3.388, absmax=15.12 +2025-11-04 13:30:31,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=12.72, mean=0.08266, std=3.107, absmax=12.72 +2025-11-04 13:30:32,045 ERROR: Encountered non-finite generator loss at iter 22423; skipping update. +2025-11-04 13:30:32,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:32,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=11.46, mean=-0.326, std=2.872, absmax=13.44 +2025-11-04 13:30:32,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=10.07, mean=-0.3062, std=2.704, absmax=12.34 +2025-11-04 13:30:32,406 ERROR: Encountered non-finite generator loss at iter 22424; skipping update. +2025-11-04 13:30:32,407 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,408 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:32,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=12.77, mean=-0.09426, std=2.774, absmax=12.77 +2025-11-04 13:30:32,410 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=11.52, mean=-0.1041, std=2.514, absmax=11.52 +2025-11-04 13:30:32,766 ERROR: Encountered non-finite generator loss at iter 22425; skipping update. +2025-11-04 13:30:32,767 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:32,768 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:32,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14, mean=-0.1452, std=2.845, absmax=14 +2025-11-04 13:30:32,769 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.02, mean=-0.1656, std=2.622, absmax=12.02 +2025-11-04 13:30:33,126 ERROR: Encountered non-finite generator loss at iter 22426; skipping update. +2025-11-04 13:30:33,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,128 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,128 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:33,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=14.68, mean=-0.2292, std=2.812, absmax=14.68 +2025-11-04 13:30:33,129 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=13.7, mean=-0.2119, std=2.607, absmax=13.7 +2025-11-04 13:30:33,485 ERROR: Encountered non-finite generator loss at iter 22427; skipping update. +2025-11-04 13:30:33,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,488 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:33,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.86, mean=-0.149, std=2.84, absmax=13.86 +2025-11-04 13:30:33,489 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.35, mean=-0.1323, std=2.596, absmax=12.35 +2025-11-04 13:30:33,845 ERROR: Encountered non-finite generator loss at iter 22428; skipping update. +2025-11-04 13:30:33,847 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:33,848 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:33,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.69, mean=-0.2274, std=2.655, absmax=12.69 +2025-11-04 13:30:33,849 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.978, max=10.61, mean=-0.1676, std=2.538, absmax=10.61 +2025-11-04 13:30:34,205 ERROR: Encountered non-finite generator loss at iter 22429; skipping update. +2025-11-04 13:30:34,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,207 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:34,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.31, mean=-0.2237, std=3.369, absmax=13.04 +2025-11-04 13:30:34,208 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=11.28, mean=-0.2089, std=3.085, absmax=12.93 +2025-11-04 13:30:34,565 ERROR: Encountered non-finite generator loss at iter 22430; skipping update. +2025-11-04 13:30:34,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,567 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:34,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.35, mean=-0.1089, std=2.951, absmax=13.35 +2025-11-04 13:30:34,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=12.98, mean=-0.1274, std=2.735, absmax=12.98 +2025-11-04 13:30:34,925 ERROR: Encountered non-finite generator loss at iter 22431; skipping update. +2025-11-04 13:30:34,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:34,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:34,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=13.9, mean=-0.2529, std=3.162, absmax=15.06 +2025-11-04 13:30:34,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.04, mean=-0.2027, std=2.953, absmax=12.04 +2025-11-04 13:30:35,285 ERROR: Encountered non-finite generator loss at iter 22432; skipping update. +2025-11-04 13:30:35,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:35,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:35,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:35,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:35,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.42, mean=0.08533, std=3.067, absmax=12.89 +2025-11-04 13:30:35,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=11.97, mean=0.079, std=2.913, absmax=12.18 +2025-11-04 13:30:35,645 ERROR: Encountered non-finite generator loss at iter 22433; skipping update. +2025-11-04 13:30:35,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:35,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:35,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:35,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:35,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.53, mean=0.01933, std=3.725, absmax=13.53 +2025-11-04 13:30:35,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=10.99, mean=0.03329, std=3.422, absmax=12.82 +2025-11-04 13:30:36,005 ERROR: Encountered non-finite generator loss at iter 22434; skipping update. +2025-11-04 13:30:36,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,008 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:36,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=10.64, mean=-0.3274, std=3.257, absmax=14.13 +2025-11-04 13:30:36,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=9.865, mean=-0.3083, std=2.971, absmax=11.6 +2025-11-04 13:30:36,364 ERROR: Encountered non-finite generator loss at iter 22435; skipping update. +2025-11-04 13:30:36,365 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,366 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,366 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:36,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.46, mean=-0.138, std=3.627, absmax=14.46 +2025-11-04 13:30:36,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=13.5, mean=-0.1264, std=3.371, absmax=13.5 +2025-11-04 13:30:36,724 ERROR: Encountered non-finite generator loss at iter 22436; skipping update. +2025-11-04 13:30:36,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:36,726 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:36,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.42, max=12.97, mean=-0.2112, std=3.25, absmax=15.42 +2025-11-04 13:30:36,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=11.93, mean=-0.1795, std=2.999, absmax=11.93 +2025-11-04 13:30:37,084 ERROR: Encountered non-finite generator loss at iter 22437; skipping update. +2025-11-04 13:30:37,085 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,086 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,087 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:37,087 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.45, mean=-0.3452, std=3.203, absmax=12.45 +2025-11-04 13:30:37,088 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=11.37, mean=-0.2934, std=3.024, absmax=11.37 +2025-11-04 13:30:37,444 ERROR: Encountered non-finite generator loss at iter 22438; skipping update. +2025-11-04 13:30:37,445 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,446 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,447 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:37,448 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.99, mean=-0.1287, std=3.308, absmax=13.99 +2025-11-04 13:30:37,448 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.77, mean=-0.1288, std=3.026, absmax=11.77 +2025-11-04 13:30:37,805 ERROR: Encountered non-finite generator loss at iter 22439; skipping update. +2025-11-04 13:30:37,806 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,807 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:37,807 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:37,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.6, max=13.99, mean=-0.08466, std=3.541, absmax=15.6 +2025-11-04 13:30:37,808 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=13.17, mean=-0.1197, std=3.316, absmax=13.17 +2025-11-04 13:30:38,164 ERROR: Encountered non-finite generator loss at iter 22440; skipping update. +2025-11-04 13:30:38,165 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,166 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,166 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:38,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=15.35, mean=-0.1612, std=3.09, absmax=15.35 +2025-11-04 13:30:38,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=14.47, mean=-0.1517, std=2.853, absmax=14.47 +2025-11-04 13:30:38,524 ERROR: Encountered non-finite generator loss at iter 22441; skipping update. +2025-11-04 13:30:38,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:38,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.55, mean=-0.2211, std=2.733, absmax=12.55 +2025-11-04 13:30:38,527 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=12.01, mean=-0.2514, std=2.697, absmax=12.43 +2025-11-04 13:30:38,883 ERROR: Encountered non-finite generator loss at iter 22442; skipping update. +2025-11-04 13:30:38,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:38,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:38,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=11.81, mean=-0.3109, std=2.974, absmax=12.58 +2025-11-04 13:30:38,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.57, mean=-0.2843, std=2.719, absmax=11.6 +2025-11-04 13:30:39,243 ERROR: Encountered non-finite generator loss at iter 22443; skipping update. +2025-11-04 13:30:39,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:39,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=18.47, mean=-0.2545, std=3.259, absmax=18.47 +2025-11-04 13:30:39,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=15.74, mean=-0.2573, std=2.971, absmax=15.74 +2025-11-04 13:30:39,604 ERROR: Encountered non-finite generator loss at iter 22444; skipping update. +2025-11-04 13:30:39,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:39,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=13.81, mean=-0.1283, std=3.629, absmax=13.81 +2025-11-04 13:30:39,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=14.55, mean=-0.09754, std=3.321, absmax=14.55 +2025-11-04 13:30:39,963 ERROR: Encountered non-finite generator loss at iter 22445; skipping update. +2025-11-04 13:30:39,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,965 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:39,966 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:39,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.28, max=15.08, mean=-0.2606, std=2.901, absmax=18.28 +2025-11-04 13:30:39,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.97, max=13.02, mean=-0.2593, std=2.652, absmax=14.97 +2025-11-04 13:30:40,324 ERROR: Encountered non-finite generator loss at iter 22446; skipping update. +2025-11-04 13:30:40,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:40,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:40,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:40,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:40,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.62, mean=-0.1901, std=2.832, absmax=12.62 +2025-11-04 13:30:40,327 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.04, mean=-0.2129, std=2.696, absmax=11.91 +2025-11-04 13:30:40,684 ERROR: Encountered non-finite generator loss at iter 22447; skipping update. +2025-11-04 13:30:40,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:40,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:40,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:40,686 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:40,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.4, mean=-0.1197, std=2.975, absmax=13.4 +2025-11-04 13:30:40,687 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.86, mean=-0.1633, std=2.765, absmax=12.41 +2025-11-04 13:30:41,044 ERROR: Encountered non-finite generator loss at iter 22448; skipping update. +2025-11-04 13:30:41,045 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,046 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,046 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:41,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=14.48, mean=-0.3617, std=3.201, absmax=14.48 +2025-11-04 13:30:41,047 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.95, mean=-0.3283, std=2.948, absmax=12.95 +2025-11-04 13:30:41,405 ERROR: Encountered non-finite generator loss at iter 22449; skipping update. +2025-11-04 13:30:41,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:41,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.76, mean=0.0474, std=3.36, absmax=13.76 +2025-11-04 13:30:41,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=13.39, mean=0.05614, std=3.256, absmax=13.39 +2025-11-04 13:30:41,765 ERROR: Encountered non-finite generator loss at iter 22450; skipping update. +2025-11-04 13:30:41,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,767 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:41,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:41,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=13, mean=-0.2279, std=2.946, absmax=13 +2025-11-04 13:30:41,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=12.19, mean=-0.2181, std=2.726, absmax=12.19 +2025-11-04 13:30:42,125 ERROR: Encountered non-finite generator loss at iter 22451; skipping update. +2025-11-04 13:30:42,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,128 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:42,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.22, mean=-0.08553, std=3.229, absmax=13.38 +2025-11-04 13:30:42,129 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.54, mean=-0.1039, std=2.928, absmax=11.54 +2025-11-04 13:30:42,485 ERROR: Encountered non-finite generator loss at iter 22452; skipping update. +2025-11-04 13:30:42,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:42,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=15.98, mean=-0.09996, std=2.91, absmax=15.98 +2025-11-04 13:30:42,489 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=13.45, mean=-0.05033, std=2.697, absmax=13.45 +2025-11-04 13:30:42,845 ERROR: Encountered non-finite generator loss at iter 22453; skipping update. +2025-11-04 13:30:42,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:42,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:42,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.09, mean=-0.3266, std=2.787, absmax=13.03 +2025-11-04 13:30:42,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=10.14, mean=-0.282, std=2.6, absmax=10.87 +2025-11-04 13:30:43,205 ERROR: Encountered non-finite generator loss at iter 22454; skipping update. +2025-11-04 13:30:43,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,207 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:43,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=13.01, mean=-0.221, std=2.713, absmax=13.01 +2025-11-04 13:30:43,208 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=9.976, mean=-0.2103, std=2.466, absmax=11.19 +2025-11-04 13:30:43,565 ERROR: Encountered non-finite generator loss at iter 22455; skipping update. +2025-11-04 13:30:43,566 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,568 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:43,568 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.47, max=12.26, mean=-0.2603, std=2.975, absmax=15.47 +2025-11-04 13:30:43,569 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.07, mean=-0.2527, std=2.773, absmax=12.58 +2025-11-04 13:30:43,925 ERROR: Encountered non-finite generator loss at iter 22456; skipping update. +2025-11-04 13:30:43,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:43,928 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:43,929 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=14.15, mean=-0.03381, std=2.962, absmax=14.15 +2025-11-04 13:30:43,929 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.44, mean=-0.02729, std=2.803, absmax=12.44 +2025-11-04 13:30:44,286 ERROR: Encountered non-finite generator loss at iter 22457; skipping update. +2025-11-04 13:30:44,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:44,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:44,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:44,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:44,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=15.24, mean=-0.03669, std=3.339, absmax=15.24 +2025-11-04 13:30:44,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=13.63, mean=-0.02189, std=3.117, absmax=13.63 +2025-11-04 13:30:44,645 ERROR: Encountered non-finite generator loss at iter 22458; skipping update. +2025-11-04 13:30:44,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:44,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:44,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:44,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:44,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.45, mean=-0.09768, std=3.066, absmax=14.45 +2025-11-04 13:30:44,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=11.58, mean=-0.0742, std=2.874, absmax=11.58 +2025-11-04 13:30:45,005 ERROR: Encountered non-finite generator loss at iter 22459; skipping update. +2025-11-04 13:30:45,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:45,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.88, mean=-0.2334, std=3.068, absmax=13.27 +2025-11-04 13:30:45,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=11.6, mean=-0.2374, std=3.129, absmax=12.78 +2025-11-04 13:30:45,365 ERROR: Encountered non-finite generator loss at iter 22460; skipping update. +2025-11-04 13:30:45,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:45,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.85, mean=-0.243, std=2.868, absmax=12.29 +2025-11-04 13:30:45,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=10.35, mean=-0.2426, std=2.656, absmax=12.23 +2025-11-04 13:30:45,725 ERROR: Encountered non-finite generator loss at iter 22461; skipping update. +2025-11-04 13:30:45,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:45,728 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:45,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.7, mean=-0.2065, std=2.902, absmax=12.7 +2025-11-04 13:30:45,729 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.37, mean=-0.1979, std=2.718, absmax=12.37 +2025-11-04 13:30:46,085 ERROR: Encountered non-finite generator loss at iter 22462; skipping update. +2025-11-04 13:30:46,087 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,088 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,088 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:46,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=17.67, mean=-0.2155, std=2.786, absmax=17.67 +2025-11-04 13:30:46,089 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=15.85, mean=-0.2035, std=2.592, absmax=15.85 +2025-11-04 13:30:46,446 ERROR: Encountered non-finite generator loss at iter 22463; skipping update. +2025-11-04 13:30:46,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,448 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:46,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=13.39, mean=-0.1891, std=3.115, absmax=13.39 +2025-11-04 13:30:46,449 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=12.11, mean=-0.1732, std=2.943, absmax=12.11 +2025-11-04 13:30:46,806 ERROR: Encountered non-finite generator loss at iter 22464; skipping update. +2025-11-04 13:30:46,807 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,808 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:46,808 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:46,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=11.37, mean=-0.2511, std=2.728, absmax=12.31 +2025-11-04 13:30:46,809 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=10.17, mean=-0.2207, std=2.578, absmax=10.64 +2025-11-04 13:30:47,166 ERROR: Encountered non-finite generator loss at iter 22465; skipping update. +2025-11-04 13:30:47,167 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,168 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:47,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=14.65, mean=-0.1705, std=2.388, absmax=14.65 +2025-11-04 13:30:47,170 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.34, mean=-0.1553, std=2.187, absmax=11.34 +2025-11-04 13:30:47,527 ERROR: Encountered non-finite generator loss at iter 22466; skipping update. +2025-11-04 13:30:47,527 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,529 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:47,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=11.61, mean=-0.1629, std=2.665, absmax=11.61 +2025-11-04 13:30:47,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=10.86, mean=-0.1268, std=2.588, absmax=11.84 +2025-11-04 13:30:47,887 ERROR: Encountered non-finite generator loss at iter 22467; skipping update. +2025-11-04 13:30:47,888 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:47,889 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:47,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=14.62, mean=-0.07844, std=3.334, absmax=14.62 +2025-11-04 13:30:47,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=13.33, mean=-0.08251, std=3.034, absmax=13.33 +2025-11-04 13:30:48,248 ERROR: Encountered non-finite generator loss at iter 22468; skipping update. +2025-11-04 13:30:48,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:48,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=12.54, mean=-0.3337, std=3.227, absmax=14.5 +2025-11-04 13:30:48,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=10.13, mean=-0.3468, std=3.092, absmax=13.12 +2025-11-04 13:30:48,609 ERROR: Encountered non-finite generator loss at iter 22469; skipping update. +2025-11-04 13:30:48,610 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,611 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,611 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:48,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=14.18, mean=-0.08742, std=3.235, absmax=14.18 +2025-11-04 13:30:48,612 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=10.65, mean=-0.03828, std=3.071, absmax=11.45 +2025-11-04 13:30:48,970 ERROR: Encountered non-finite generator loss at iter 22470; skipping update. +2025-11-04 13:30:48,971 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,972 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:48,972 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:48,973 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=15.18, mean=-0.1183, std=2.619, absmax=15.18 +2025-11-04 13:30:48,974 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=13.92, mean=-0.1315, std=2.487, absmax=13.92 +2025-11-04 13:30:49,330 ERROR: Encountered non-finite generator loss at iter 22471; skipping update. +2025-11-04 13:30:49,331 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:49,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:49,332 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:49,333 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:49,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=14.45, mean=0.0876, std=2.933, absmax=14.45 +2025-11-04 13:30:49,334 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.21, mean=0.08059, std=2.775, absmax=12.21 +2025-11-04 13:30:49,691 ERROR: Encountered non-finite generator loss at iter 22472; skipping update. +2025-11-04 13:30:49,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:49,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:49,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:49,693 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:49,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=11.79, mean=-0.3012, std=3.012, absmax=13.49 +2025-11-04 13:30:49,694 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=9.969, mean=-0.2556, std=2.851, absmax=11.31 +2025-11-04 13:30:50,051 ERROR: Encountered non-finite generator loss at iter 22473; skipping update. +2025-11-04 13:30:50,052 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,053 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,053 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:50,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.13, mean=-0.1806, std=2.976, absmax=12.53 +2025-11-04 13:30:50,054 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.33, mean=-0.2027, std=2.802, absmax=11.46 +2025-11-04 13:30:50,411 ERROR: Encountered non-finite generator loss at iter 22474; skipping update. +2025-11-04 13:30:50,412 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,412 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,413 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:50,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=11.13, mean=-0.2288, std=3.056, absmax=13.14 +2025-11-04 13:30:50,414 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=10.75, mean=-0.2101, std=2.846, absmax=12.82 +2025-11-04 13:30:50,770 ERROR: Encountered non-finite generator loss at iter 22475; skipping update. +2025-11-04 13:30:50,770 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,771 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:50,772 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:50,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=10.24, mean=-0.1876, std=2.762, absmax=13.29 +2025-11-04 13:30:50,773 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.44, mean=-0.1115, std=2.575, absmax=12.72 +2025-11-04 13:30:51,129 ERROR: Encountered non-finite generator loss at iter 22476; skipping update. +2025-11-04 13:30:51,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,131 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,132 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:51,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.39, max=14.93, mean=-0.1712, std=2.728, absmax=17.39 +2025-11-04 13:30:51,133 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=13.93, mean=-0.1661, std=2.537, absmax=13.93 +2025-11-04 13:30:51,491 ERROR: Encountered non-finite generator loss at iter 22477; skipping update. +2025-11-04 13:30:51,492 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,493 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,493 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:51,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.07, mean=0.08352, std=3.665, absmax=14.24 +2025-11-04 13:30:51,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=13.67, mean=0.09901, std=3.441, absmax=13.67 +2025-11-04 13:30:51,851 ERROR: Encountered non-finite generator loss at iter 22478; skipping update. +2025-11-04 13:30:51,852 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:51,854 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:51,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.88, max=14.73, mean=-0.1879, std=3.657, absmax=16.88 +2025-11-04 13:30:51,855 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.13, max=11.98, mean=-0.1935, std=3.388, absmax=14.13 +2025-11-04 13:30:52,212 ERROR: Encountered non-finite generator loss at iter 22479; skipping update. +2025-11-04 13:30:52,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,213 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:52,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=9.829, mean=-0.1765, std=2.451, absmax=11.36 +2025-11-04 13:30:52,215 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=8.814, mean=-0.1664, std=2.312, absmax=10.56 +2025-11-04 13:30:52,573 ERROR: Encountered non-finite generator loss at iter 22480; skipping update. +2025-11-04 13:30:52,574 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,575 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,575 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:52,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.08, mean=-0.2981, std=2.828, absmax=12.08 +2025-11-04 13:30:52,576 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.83, mean=-0.2485, std=2.668, absmax=11.37 +2025-11-04 13:30:52,934 ERROR: Encountered non-finite generator loss at iter 22481; skipping update. +2025-11-04 13:30:52,935 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,936 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:52,936 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:52,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=12.35, mean=-0.3489, std=3.138, absmax=13.88 +2025-11-04 13:30:52,937 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.59, max=11.08, mean=-0.3212, std=2.951, absmax=13.59 +2025-11-04 13:30:53,295 ERROR: Encountered non-finite generator loss at iter 22482; skipping update. +2025-11-04 13:30:53,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:53,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:53,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:53,297 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:53,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=10.99, mean=-0.2778, std=2.623, absmax=12.22 +2025-11-04 13:30:53,298 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.01, mean=-0.2745, std=2.515, absmax=11.46 +2025-11-04 13:30:53,655 ERROR: Encountered non-finite generator loss at iter 22483; skipping update. +2025-11-04 13:30:53,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:53,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:53,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:53,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:53,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=10.9, mean=-0.3015, std=3.315, absmax=13.89 +2025-11-04 13:30:53,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=10.31, mean=-0.3065, std=3.16, absmax=13.46 +2025-11-04 13:30:54,017 ERROR: Encountered non-finite generator loss at iter 22484; skipping update. +2025-11-04 13:30:54,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,019 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:54,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=12.53, mean=-0.1432, std=3.075, absmax=14.26 +2025-11-04 13:30:54,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=12.13, mean=-0.134, std=2.923, absmax=12.75 +2025-11-04 13:30:54,378 ERROR: Encountered non-finite generator loss at iter 22485; skipping update. +2025-11-04 13:30:54,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:54,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13, mean=-0.1667, std=3.674, absmax=13.72 +2025-11-04 13:30:54,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=12.16, mean=-0.1722, std=3.39, absmax=12.87 +2025-11-04 13:30:54,739 ERROR: Encountered non-finite generator loss at iter 22486; skipping update. +2025-11-04 13:30:54,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:54,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:54,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=14.22, mean=-0.1492, std=3.09, absmax=14.22 +2025-11-04 13:30:54,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.47, mean=-0.1433, std=2.994, absmax=12.47 +2025-11-04 13:30:55,100 ERROR: Encountered non-finite generator loss at iter 22487; skipping update. +2025-11-04 13:30:55,101 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,102 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,102 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:55,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=13.19, mean=-0.06002, std=3.143, absmax=13.47 +2025-11-04 13:30:55,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=11.8, mean=-0.07635, std=2.921, absmax=13.58 +2025-11-04 13:30:55,461 ERROR: Encountered non-finite generator loss at iter 22488; skipping update. +2025-11-04 13:30:55,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:55,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.79, mean=-0.1716, std=3.64, absmax=14.79 +2025-11-04 13:30:55,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=13.58, mean=-0.1852, std=3.424, absmax=13.58 +2025-11-04 13:30:55,823 ERROR: Encountered non-finite generator loss at iter 22489; skipping update. +2025-11-04 13:30:55,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:55,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:55,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.98, mean=-0.156, std=3.018, absmax=12.98 +2025-11-04 13:30:55,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=10.63, mean=-0.1553, std=2.754, absmax=11.29 +2025-11-04 13:30:56,184 ERROR: Encountered non-finite generator loss at iter 22490; skipping update. +2025-11-04 13:30:56,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:56,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.45, mean=-0.002555, std=3.164, absmax=13.45 +2025-11-04 13:30:56,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.64, mean=-0.0006702, std=2.97, absmax=12.64 +2025-11-04 13:30:56,544 ERROR: Encountered non-finite generator loss at iter 22491; skipping update. +2025-11-04 13:30:56,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:56,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.37, mean=0.009621, std=3.086, absmax=13.67 +2025-11-04 13:30:56,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=11.68, mean=0.0199, std=2.907, absmax=13.25 +2025-11-04 13:30:56,906 ERROR: Encountered non-finite generator loss at iter 22492; skipping update. +2025-11-04 13:30:56,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:56,908 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:56,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.32, mean=-0.1864, std=3.019, absmax=12.32 +2025-11-04 13:30:56,910 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.84, mean=-0.1665, std=2.825, absmax=11.84 +2025-11-04 13:30:57,267 ERROR: Encountered non-finite generator loss at iter 22493; skipping update. +2025-11-04 13:30:57,268 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,269 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,269 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:57,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.44, mean=-0.1151, std=3.13, absmax=12.02 +2025-11-04 13:30:57,270 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=10.49, mean=-0.07413, std=2.981, absmax=12.62 +2025-11-04 13:30:57,627 ERROR: Encountered non-finite generator loss at iter 22494; skipping update. +2025-11-04 13:30:57,628 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,629 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:57,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.46, mean=-0.1544, std=2.836, absmax=11.46 +2025-11-04 13:30:57,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.22, max=9.877, mean=-0.1321, std=2.591, absmax=10.22 +2025-11-04 13:30:57,987 ERROR: Encountered non-finite generator loss at iter 22495; skipping update. +2025-11-04 13:30:57,988 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,989 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:57,989 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:57,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.94, mean=-0.2049, std=2.754, absmax=12.94 +2025-11-04 13:30:57,990 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=11.42, mean=-0.1881, std=2.701, absmax=11.42 +2025-11-04 13:30:58,348 ERROR: Encountered non-finite generator loss at iter 22496; skipping update. +2025-11-04 13:30:58,349 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:58,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:58,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:58,350 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:58,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=16.35, mean=-0.01649, std=3.4, absmax=16.35 +2025-11-04 13:30:58,351 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=13.24, mean=-0.03481, std=3.06, absmax=13.24 +2025-11-04 13:30:58,708 ERROR: Encountered non-finite generator loss at iter 22497; skipping update. +2025-11-04 13:30:58,709 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:58,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:58,710 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:58,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:58,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=14.16, mean=-0.07185, std=3.446, absmax=14.16 +2025-11-04 13:30:58,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=13.26, mean=-0.0402, std=3.292, absmax=13.26 +2025-11-04 13:30:59,068 ERROR: Encountered non-finite generator loss at iter 22498; skipping update. +2025-11-04 13:30:59,069 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,070 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:59,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.01, mean=-0.3493, std=3.268, absmax=13.07 +2025-11-04 13:30:59,072 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=11.14, mean=-0.3073, std=3.121, absmax=11.99 +2025-11-04 13:30:59,429 ERROR: Encountered non-finite generator loss at iter 22499; skipping update. +2025-11-04 13:30:59,430 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,431 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,431 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:59,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.34, mean=-0.2007, std=2.802, absmax=11.81 +2025-11-04 13:30:59,433 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=10.07, mean=-0.2019, std=2.617, absmax=10.4 +2025-11-04 13:30:59,790 ERROR: Encountered non-finite generator loss at iter 22500; skipping update. +2025-11-04 13:30:59,791 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,791 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:30:59,792 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:30:59,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.71, max=11.27, mean=-0.1052, std=2.386, absmax=11.27 +2025-11-04 13:30:59,793 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.443, max=11.4, mean=-0.07515, std=2.388, absmax=11.4 +2025-11-04 13:30:59,794 INFO: [38..][epoch: 0, step: 22,500, lr:(2.000e-04,)] [eta: 1 day, 5:44:36, time (data): 0.362 (0.000)] +2025-11-04 13:31:00,150 ERROR: Encountered non-finite generator loss at iter 22501; skipping update. +2025-11-04 13:31:00,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,153 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:00,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=13.52, mean=-0.1292, std=2.773, absmax=13.52 +2025-11-04 13:31:00,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=12.03, mean=-0.1041, std=2.562, absmax=12.03 +2025-11-04 13:31:00,511 ERROR: Encountered non-finite generator loss at iter 22502; skipping update. +2025-11-04 13:31:00,512 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,513 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,513 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:00,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=15.14, mean=0.1409, std=3.215, absmax=15.14 +2025-11-04 13:31:00,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=14.28, mean=0.1316, std=2.998, absmax=14.28 +2025-11-04 13:31:00,871 ERROR: Encountered non-finite generator loss at iter 22503; skipping update. +2025-11-04 13:31:00,871 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,872 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:00,873 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:00,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.19, mean=-0.1804, std=2.89, absmax=12.19 +2025-11-04 13:31:00,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=10.96, mean=-0.1712, std=2.666, absmax=10.96 +2025-11-04 13:31:01,231 ERROR: Encountered non-finite generator loss at iter 22504; skipping update. +2025-11-04 13:31:01,231 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,233 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:01,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=15.16, mean=-0.002474, std=3.514, absmax=15.16 +2025-11-04 13:31:01,234 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=15.04, mean=0.04481, std=3.392, absmax=15.04 +2025-11-04 13:31:01,590 ERROR: Encountered non-finite generator loss at iter 22505; skipping update. +2025-11-04 13:31:01,591 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,592 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,592 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:01,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.55, mean=-0.3028, std=2.786, absmax=12.57 +2025-11-04 13:31:01,593 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=11.12, mean=-0.2885, std=2.701, absmax=12.98 +2025-11-04 13:31:01,950 ERROR: Encountered non-finite generator loss at iter 22506; skipping update. +2025-11-04 13:31:01,951 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,951 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:01,952 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:01,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.49, mean=-0.2792, std=3.098, absmax=12.98 +2025-11-04 13:31:01,953 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=9.907, mean=-0.3338, std=2.942, absmax=12.03 +2025-11-04 13:31:02,309 ERROR: Encountered non-finite generator loss at iter 22507; skipping update. +2025-11-04 13:31:02,309 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:02,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:02,310 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:02,310 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:02,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=14.18, mean=-0.1201, std=3.5, absmax=14.18 +2025-11-04 13:31:02,311 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=13.37, mean=-0.09803, std=3.189, absmax=13.37 +2025-11-04 13:31:02,668 ERROR: Encountered non-finite generator loss at iter 22508; skipping update. +2025-11-04 13:31:02,668 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:02,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:02,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:02,670 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:02,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=14.64, mean=-0.04854, std=2.951, absmax=14.64 +2025-11-04 13:31:02,671 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=12.83, mean=-0.009211, std=2.794, absmax=12.83 +2025-11-04 13:31:03,028 ERROR: Encountered non-finite generator loss at iter 22509; skipping update. +2025-11-04 13:31:03,029 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,030 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,030 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:03,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.72, mean=-0.1555, std=3.636, absmax=13.72 +2025-11-04 13:31:03,031 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.03, mean=-0.135, std=3.284, absmax=12.22 +2025-11-04 13:31:03,388 ERROR: Encountered non-finite generator loss at iter 22510; skipping update. +2025-11-04 13:31:03,388 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,389 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,389 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:03,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=16.22, mean=-0.1766, std=2.993, absmax=16.22 +2025-11-04 13:31:03,390 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=14.2, mean=-0.1556, std=2.857, absmax=14.2 +2025-11-04 13:31:03,747 ERROR: Encountered non-finite generator loss at iter 22511; skipping update. +2025-11-04 13:31:03,748 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:03,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:03,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=10.77, mean=-0.2628, std=2.756, absmax=11.96 +2025-11-04 13:31:03,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=10.49, mean=-0.2409, std=2.535, absmax=10.59 +2025-11-04 13:31:04,106 ERROR: Encountered non-finite generator loss at iter 22512; skipping update. +2025-11-04 13:31:04,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:04,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=10.52, mean=-0.1553, std=2.61, absmax=11.75 +2025-11-04 13:31:04,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=9.752, mean=-0.1209, std=2.411, absmax=10.53 +2025-11-04 13:31:04,466 ERROR: Encountered non-finite generator loss at iter 22513; skipping update. +2025-11-04 13:31:04,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:04,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=12.59, mean=-0.05594, std=3.155, absmax=12.59 +2025-11-04 13:31:04,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=10.38, mean=-0.0632, std=2.925, absmax=11.42 +2025-11-04 13:31:04,825 ERROR: Encountered non-finite generator loss at iter 22514; skipping update. +2025-11-04 13:31:04,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:04,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:04,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.12, mean=-0.22, std=2.908, absmax=12.55 +2025-11-04 13:31:04,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=9.525, mean=-0.224, std=2.646, absmax=11.57 +2025-11-04 13:31:05,184 ERROR: Encountered non-finite generator loss at iter 22515; skipping update. +2025-11-04 13:31:05,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,186 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:05,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.47, mean=-0.1138, std=3.547, absmax=13.65 +2025-11-04 13:31:05,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=11.98, mean=-0.09496, std=3.376, absmax=12.98 +2025-11-04 13:31:05,544 ERROR: Encountered non-finite generator loss at iter 22516; skipping update. +2025-11-04 13:31:05,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:05,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.59, mean=0.03184, std=2.958, absmax=13.59 +2025-11-04 13:31:05,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.994, max=11.88, mean=0.04723, std=2.714, absmax=11.88 +2025-11-04 13:31:05,904 ERROR: Encountered non-finite generator loss at iter 22517; skipping update. +2025-11-04 13:31:05,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:05,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:05,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.37, mean=-0.2532, std=2.477, absmax=11.93 +2025-11-04 13:31:05,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=9.97, mean=-0.2862, std=2.252, absmax=11.05 +2025-11-04 13:31:06,263 ERROR: Encountered non-finite generator loss at iter 22518; skipping update. +2025-11-04 13:31:06,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:06,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.06, mean=-0.2977, std=2.979, absmax=13.42 +2025-11-04 13:31:06,267 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=11.76, mean=-0.3126, std=2.707, absmax=11.76 +2025-11-04 13:31:06,624 ERROR: Encountered non-finite generator loss at iter 22519; skipping update. +2025-11-04 13:31:06,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:06,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=14.74, mean=-0.2793, std=3.26, absmax=14.74 +2025-11-04 13:31:06,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.66, max=12.58, mean=-0.235, std=2.997, absmax=14.66 +2025-11-04 13:31:06,983 ERROR: Encountered non-finite generator loss at iter 22520; skipping update. +2025-11-04 13:31:06,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:06,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:06,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.07, mean=-0.1152, std=3.116, absmax=14.07 +2025-11-04 13:31:06,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.52, mean=-0.06721, std=2.959, absmax=12.52 +2025-11-04 13:31:07,343 ERROR: Encountered non-finite generator loss at iter 22521; skipping update. +2025-11-04 13:31:07,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:07,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:07,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:07,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:07,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=15.2, mean=0.1593, std=3.242, absmax=15.2 +2025-11-04 13:31:07,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=12.99, mean=0.1499, std=3.028, absmax=12.99 +2025-11-04 13:31:07,703 ERROR: Encountered non-finite generator loss at iter 22522; skipping update. +2025-11-04 13:31:07,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:07,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:07,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:07,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:07,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.64, mean=-0.1558, std=3.151, absmax=13.64 +2025-11-04 13:31:07,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=10.15, mean=-0.1569, std=2.806, absmax=11.06 +2025-11-04 13:31:08,062 ERROR: Encountered non-finite generator loss at iter 22523; skipping update. +2025-11-04 13:31:08,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:08,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=13.34, mean=-0.0949, std=2.559, absmax=13.34 +2025-11-04 13:31:08,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=12.32, mean=-0.08131, std=2.401, absmax=12.32 +2025-11-04 13:31:08,422 ERROR: Encountered non-finite generator loss at iter 22524; skipping update. +2025-11-04 13:31:08,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:08,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=15.23, mean=-0.339, std=3.366, absmax=15.23 +2025-11-04 13:31:08,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=12.03, mean=-0.3548, std=3.199, absmax=12.68 +2025-11-04 13:31:08,782 ERROR: Encountered non-finite generator loss at iter 22525; skipping update. +2025-11-04 13:31:08,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:08,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:08,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.22, mean=-0.202, std=2.722, absmax=12.73 +2025-11-04 13:31:08,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=10.81, mean=-0.2591, std=2.537, absmax=10.88 +2025-11-04 13:31:09,142 ERROR: Encountered non-finite generator loss at iter 22526; skipping update. +2025-11-04 13:31:09,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,144 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:09,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.18, mean=-0.05779, std=2.841, absmax=12.18 +2025-11-04 13:31:09,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=11.03, mean=-0.05117, std=2.681, absmax=11.03 +2025-11-04 13:31:09,502 ERROR: Encountered non-finite generator loss at iter 22527; skipping update. +2025-11-04 13:31:09,503 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,504 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:09,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.37, mean=-0.1589, std=2.727, absmax=13.37 +2025-11-04 13:31:09,506 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=13.6, mean=-0.1764, std=2.637, absmax=13.6 +2025-11-04 13:31:09,862 ERROR: Encountered non-finite generator loss at iter 22528; skipping update. +2025-11-04 13:31:09,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:09,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:09,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.69, mean=0.08416, std=3.685, absmax=13.69 +2025-11-04 13:31:09,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=12.76, mean=0.08308, std=3.413, absmax=12.76 +2025-11-04 13:31:10,222 ERROR: Encountered non-finite generator loss at iter 22529; skipping update. +2025-11-04 13:31:10,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:10,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=15.6, mean=-0.03781, std=3.594, absmax=15.6 +2025-11-04 13:31:10,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=14.36, mean=-0.06791, std=3.354, absmax=14.36 +2025-11-04 13:31:10,581 ERROR: Encountered non-finite generator loss at iter 22530; skipping update. +2025-11-04 13:31:10,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:10,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.18, mean=-0.07235, std=3.453, absmax=13.86 +2025-11-04 13:31:10,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=12.53, mean=-0.06451, std=3.18, absmax=12.53 +2025-11-04 13:31:10,942 ERROR: Encountered non-finite generator loss at iter 22531; skipping update. +2025-11-04 13:31:10,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,944 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:10,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:10,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.41, max=10.97, mean=-0.1893, std=2.524, absmax=10.97 +2025-11-04 13:31:10,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=10.73, mean=-0.1446, std=2.469, absmax=11.21 +2025-11-04 13:31:11,302 ERROR: Encountered non-finite generator loss at iter 22532; skipping update. +2025-11-04 13:31:11,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:11,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:11,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:11,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:11,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=11.56, mean=-0.158, std=3.539, absmax=14.5 +2025-11-04 13:31:11,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.31, mean=-0.1322, std=3.269, absmax=11.9 +2025-11-04 13:31:11,661 ERROR: Encountered non-finite generator loss at iter 22533; skipping update. +2025-11-04 13:31:11,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:11,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:11,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:11,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:11,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.56, mean=-0.4519, std=3.204, absmax=12.9 +2025-11-04 13:31:11,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=11.2, mean=-0.4371, std=3.093, absmax=11.64 +2025-11-04 13:31:12,024 ERROR: Encountered non-finite generator loss at iter 22534; skipping update. +2025-11-04 13:31:12,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:12,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.28, mean=-0.1925, std=2.955, absmax=13.28 +2025-11-04 13:31:12,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=9.959, mean=-0.2029, std=2.753, absmax=10.95 +2025-11-04 13:31:12,384 ERROR: Encountered non-finite generator loss at iter 22535; skipping update. +2025-11-04 13:31:12,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:12,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=11.99, mean=-0.1283, std=2.985, absmax=11.99 +2025-11-04 13:31:12,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=10.61, mean=-0.1222, std=2.737, absmax=11.7 +2025-11-04 13:31:12,744 ERROR: Encountered non-finite generator loss at iter 22536; skipping update. +2025-11-04 13:31:12,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:12,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:12,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.96, mean=-0.1078, std=2.621, absmax=12.29 +2025-11-04 13:31:12,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=10.4, mean=-0.07201, std=2.469, absmax=10.4 +2025-11-04 13:31:13,104 ERROR: Encountered non-finite generator loss at iter 22537; skipping update. +2025-11-04 13:31:13,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:13,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11.58, mean=-0.2399, std=2.662, absmax=12.39 +2025-11-04 13:31:13,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=10.56, mean=-0.2188, std=2.431, absmax=11.72 +2025-11-04 13:31:13,464 ERROR: Encountered non-finite generator loss at iter 22538; skipping update. +2025-11-04 13:31:13,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:13,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=13.4, mean=-0.009673, std=3.498, absmax=14.7 +2025-11-04 13:31:13,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.97, mean=-0.01499, std=3.319, absmax=12.97 +2025-11-04 13:31:13,824 ERROR: Encountered non-finite generator loss at iter 22539; skipping update. +2025-11-04 13:31:13,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:13,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:13,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.94, mean=-0.1235, std=2.854, absmax=14.94 +2025-11-04 13:31:13,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=12.89, mean=-0.09626, std=2.603, absmax=12.89 +2025-11-04 13:31:14,184 ERROR: Encountered non-finite generator loss at iter 22540; skipping update. +2025-11-04 13:31:14,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:14,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.14, mean=-0.1989, std=2.767, absmax=12.14 +2025-11-04 13:31:14,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=10.64, mean=-0.1834, std=2.539, absmax=10.64 +2025-11-04 13:31:14,543 ERROR: Encountered non-finite generator loss at iter 22541; skipping update. +2025-11-04 13:31:14,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:14,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.34, mean=-0.05127, std=3.51, absmax=13.34 +2025-11-04 13:31:14,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=13.25, mean=-0.02969, std=3.374, absmax=13.25 +2025-11-04 13:31:14,904 ERROR: Encountered non-finite generator loss at iter 22542; skipping update. +2025-11-04 13:31:14,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:14,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:14,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.72, max=18.99, mean=0.05699, std=3.112, absmax=18.99 +2025-11-04 13:31:14,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.07, max=16.04, mean=0.03592, std=2.907, absmax=16.04 +2025-11-04 13:31:15,264 ERROR: Encountered non-finite generator loss at iter 22543; skipping update. +2025-11-04 13:31:15,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:15,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.97, mean=-0.002329, std=2.973, absmax=13.67 +2025-11-04 13:31:15,267 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.26, mean=-0.009402, std=2.664, absmax=11.34 +2025-11-04 13:31:15,624 ERROR: Encountered non-finite generator loss at iter 22544; skipping update. +2025-11-04 13:31:15,625 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,626 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,626 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:15,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=12, mean=-0.08369, std=2.976, absmax=12 +2025-11-04 13:31:15,627 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.726, max=11.4, mean=-0.07946, std=2.738, absmax=11.4 +2025-11-04 13:31:15,984 ERROR: Encountered non-finite generator loss at iter 22545; skipping update. +2025-11-04 13:31:15,985 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,986 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:15,986 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:15,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=11.54, mean=-0.2741, std=3.438, absmax=14.46 +2025-11-04 13:31:15,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=11.05, mean=-0.2622, std=3.265, absmax=11.84 +2025-11-04 13:31:16,344 ERROR: Encountered non-finite generator loss at iter 22546; skipping update. +2025-11-04 13:31:16,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:16,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:16,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:16,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:16,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=11.01, mean=-0.1874, std=2.645, absmax=13.31 +2025-11-04 13:31:16,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=9.183, mean=-0.1931, std=2.396, absmax=10.08 +2025-11-04 13:31:16,704 ERROR: Encountered non-finite generator loss at iter 22547; skipping update. +2025-11-04 13:31:16,705 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:16,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:16,706 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:16,706 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:16,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.55, mean=0.07848, std=3.28, absmax=14.55 +2025-11-04 13:31:16,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=14.24, mean=0.08061, std=3.077, absmax=14.24 +2025-11-04 13:31:17,064 ERROR: Encountered non-finite generator loss at iter 22548; skipping update. +2025-11-04 13:31:17,065 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:17,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=16, mean=-0.1353, std=2.833, absmax=16 +2025-11-04 13:31:17,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=12.67, mean=-0.1283, std=2.695, absmax=12.67 +2025-11-04 13:31:17,424 ERROR: Encountered non-finite generator loss at iter 22549; skipping update. +2025-11-04 13:31:17,425 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:17,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.57, mean=-0.06299, std=3.284, absmax=13.5 +2025-11-04 13:31:17,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=10.99, mean=-0.08481, std=3.008, absmax=11.92 +2025-11-04 13:31:17,783 ERROR: Encountered non-finite generator loss at iter 22550; skipping update. +2025-11-04 13:31:17,784 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,785 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:17,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:17,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=14.39, mean=0.06557, std=3.438, absmax=14.39 +2025-11-04 13:31:17,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.93, max=13.47, mean=0.0829, std=3.275, absmax=13.93 +2025-11-04 13:31:18,144 ERROR: Encountered non-finite generator loss at iter 22551; skipping update. +2025-11-04 13:31:18,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:18,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.97, mean=0.02974, std=3.144, absmax=13.97 +2025-11-04 13:31:18,147 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.93, mean=0.08632, std=2.916, absmax=11.93 +2025-11-04 13:31:18,504 ERROR: Encountered non-finite generator loss at iter 22552; skipping update. +2025-11-04 13:31:18,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:18,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=13.13, mean=-0.1807, std=2.82, absmax=14.02 +2025-11-04 13:31:18,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=12.83, mean=-0.1583, std=2.621, absmax=13.41 +2025-11-04 13:31:18,864 ERROR: Encountered non-finite generator loss at iter 22553; skipping update. +2025-11-04 13:31:18,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:18,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:18,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=13.81, mean=-0.1558, std=3.121, absmax=15 +2025-11-04 13:31:18,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=11.96, mean=-0.1351, std=2.859, absmax=12.83 +2025-11-04 13:31:19,224 ERROR: Encountered non-finite generator loss at iter 22554; skipping update. +2025-11-04 13:31:19,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:19,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.03, mean=-0.1173, std=2.953, absmax=14.03 +2025-11-04 13:31:19,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=11.09, mean=-0.1042, std=2.721, absmax=12.92 +2025-11-04 13:31:19,584 ERROR: Encountered non-finite generator loss at iter 22555; skipping update. +2025-11-04 13:31:19,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,585 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,586 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:19,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=18.44, mean=-0.005027, std=3.283, absmax=18.44 +2025-11-04 13:31:19,587 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=14.19, mean=-0.03399, std=3.048, absmax=14.19 +2025-11-04 13:31:19,944 ERROR: Encountered non-finite generator loss at iter 22556; skipping update. +2025-11-04 13:31:19,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:19,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:19,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=10.49, mean=-0.1968, std=2.307, absmax=10.97 +2025-11-04 13:31:19,947 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.673, max=9.449, mean=-0.1915, std=2.248, absmax=9.673 +2025-11-04 13:31:20,303 ERROR: Encountered non-finite generator loss at iter 22557; skipping update. +2025-11-04 13:31:20,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:20,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:20,305 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:20,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:20,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.22, mean=-0.271, std=3.295, absmax=13.22 +2025-11-04 13:31:20,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.8, mean=-0.2762, std=3.11, absmax=11.57 +2025-11-04 13:31:20,662 ERROR: Encountered non-finite generator loss at iter 22558; skipping update. +2025-11-04 13:31:20,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:20,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:20,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:20,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:20,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=15.81, mean=-0.05456, std=3.162, absmax=15.81 +2025-11-04 13:31:20,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=14.21, mean=-0.05757, std=2.971, absmax=14.21 +2025-11-04 13:31:21,022 ERROR: Encountered non-finite generator loss at iter 22559; skipping update. +2025-11-04 13:31:21,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:21,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.24, mean=-0.1104, std=2.956, absmax=13.61 +2025-11-04 13:31:21,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=12.25, mean=-0.1296, std=2.794, absmax=12.25 +2025-11-04 13:31:21,382 ERROR: Encountered non-finite generator loss at iter 22560; skipping update. +2025-11-04 13:31:21,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:21,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=14.1, mean=-0.1293, std=3.329, absmax=14.69 +2025-11-04 13:31:21,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=12.64, mean=-0.1188, std=3.02, absmax=12.99 +2025-11-04 13:31:21,742 ERROR: Encountered non-finite generator loss at iter 22561; skipping update. +2025-11-04 13:31:21,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:21,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:21,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=9.877, mean=-0.2909, std=2.479, absmax=12.29 +2025-11-04 13:31:21,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=8.46, mean=-0.3056, std=2.318, absmax=10.72 +2025-11-04 13:31:22,102 ERROR: Encountered non-finite generator loss at iter 22562; skipping update. +2025-11-04 13:31:22,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:22,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.76, mean=-0.06629, std=3.247, absmax=13.32 +2025-11-04 13:31:22,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=13.71, mean=-0.06779, std=2.97, absmax=13.71 +2025-11-04 13:31:22,462 ERROR: Encountered non-finite generator loss at iter 22563; skipping update. +2025-11-04 13:31:22,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:22,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=14.44, mean=-0.1568, std=2.923, absmax=14.44 +2025-11-04 13:31:22,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=13.01, mean=-0.1949, std=2.699, absmax=13.01 +2025-11-04 13:31:22,823 ERROR: Encountered non-finite generator loss at iter 22564; skipping update. +2025-11-04 13:31:22,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:22,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:22,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.04, max=15.33, mean=-0.06076, std=3.726, absmax=17.04 +2025-11-04 13:31:22,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.12, max=14.56, mean=-0.06797, std=3.537, absmax=16.12 +2025-11-04 13:31:23,182 ERROR: Encountered non-finite generator loss at iter 22565; skipping update. +2025-11-04 13:31:23,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:23,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.48, max=15.14, mean=0.1001, std=3.301, absmax=16.48 +2025-11-04 13:31:23,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=13.74, mean=0.1247, std=3.1, absmax=13.74 +2025-11-04 13:31:23,542 ERROR: Encountered non-finite generator loss at iter 22566; skipping update. +2025-11-04 13:31:23,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:23,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=12.3, mean=-0.08822, std=3.272, absmax=13.7 +2025-11-04 13:31:23,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=10.98, mean=-0.1287, std=3.005, absmax=11.27 +2025-11-04 13:31:23,903 ERROR: Encountered non-finite generator loss at iter 22567; skipping update. +2025-11-04 13:31:23,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:23,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:23,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.58, mean=-0.2111, std=3.074, absmax=13.58 +2025-11-04 13:31:23,906 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=13.04, mean=-0.2023, std=2.836, absmax=13.04 +2025-11-04 13:31:24,263 ERROR: Encountered non-finite generator loss at iter 22568; skipping update. +2025-11-04 13:31:24,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:24,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.61, mean=-0.303, std=2.993, absmax=13.61 +2025-11-04 13:31:24,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=12.71, mean=-0.2557, std=2.833, absmax=12.71 +2025-11-04 13:31:24,623 ERROR: Encountered non-finite generator loss at iter 22569; skipping update. +2025-11-04 13:31:24,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:24,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=10.37, mean=-0.1808, std=2.575, absmax=12.69 +2025-11-04 13:31:24,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=9.728, mean=-0.1662, std=2.386, absmax=12.5 +2025-11-04 13:31:24,983 ERROR: Encountered non-finite generator loss at iter 22570; skipping update. +2025-11-04 13:31:24,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:24,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:24,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=11.92, mean=-0.1207, std=3.188, absmax=14.55 +2025-11-04 13:31:24,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=10.92, mean=-0.06987, std=3.131, absmax=13.05 +2025-11-04 13:31:25,343 ERROR: Encountered non-finite generator loss at iter 22571; skipping update. +2025-11-04 13:31:25,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:25,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:25,345 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:25,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:25,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=12.3, mean=-0.06227, std=4.004, absmax=14.07 +2025-11-04 13:31:25,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=11.72, mean=-0.03128, std=3.806, absmax=13.39 +2025-11-04 13:31:25,703 ERROR: Encountered non-finite generator loss at iter 22572; skipping update. +2025-11-04 13:31:25,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:25,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:25,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:25,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:25,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.11, mean=-0.1655, std=2.673, absmax=12.3 +2025-11-04 13:31:25,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.49, mean=-0.1114, std=2.564, absmax=11.49 +2025-11-04 13:31:26,062 ERROR: Encountered non-finite generator loss at iter 22573; skipping update. +2025-11-04 13:31:26,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:26,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.22, mean=-0.294, std=2.969, absmax=12.22 +2025-11-04 13:31:26,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=9.907, mean=-0.2867, std=2.761, absmax=11.51 +2025-11-04 13:31:26,422 ERROR: Encountered non-finite generator loss at iter 22574; skipping update. +2025-11-04 13:31:26,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,425 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:26,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=18.78, mean=-0.1798, std=3.815, absmax=18.78 +2025-11-04 13:31:26,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.43, max=14.76, mean=-0.1358, std=3.528, absmax=14.76 +2025-11-04 13:31:26,783 ERROR: Encountered non-finite generator loss at iter 22575; skipping update. +2025-11-04 13:31:26,784 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,785 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:26,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:26,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=11.93, mean=-0.1544, std=3.299, absmax=14.5 +2025-11-04 13:31:26,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=9.736, mean=-0.1447, std=3.13, absmax=13.16 +2025-11-04 13:31:27,144 ERROR: Encountered non-finite generator loss at iter 22576; skipping update. +2025-11-04 13:31:27,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:27,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=13.36, mean=-0.139, std=2.571, absmax=13.36 +2025-11-04 13:31:27,147 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=12.94, mean=-0.1292, std=2.452, absmax=12.94 +2025-11-04 13:31:27,504 ERROR: Encountered non-finite generator loss at iter 22577; skipping update. +2025-11-04 13:31:27,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:27,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=12.86, mean=-0.1385, std=3.165, absmax=13.68 +2025-11-04 13:31:27,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=10.71, mean=-0.1685, std=2.873, absmax=12.27 +2025-11-04 13:31:27,864 ERROR: Encountered non-finite generator loss at iter 22578; skipping update. +2025-11-04 13:31:27,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:27,866 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:27,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.06, mean=-0.2396, std=3.212, absmax=14.06 +2025-11-04 13:31:27,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.2, mean=-0.2411, std=2.951, absmax=11.89 +2025-11-04 13:31:28,224 ERROR: Encountered non-finite generator loss at iter 22579; skipping update. +2025-11-04 13:31:28,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:28,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=15.52, mean=-0.1205, std=3.055, absmax=15.52 +2025-11-04 13:31:28,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.47, mean=-0.1038, std=2.947, absmax=12.47 +2025-11-04 13:31:28,584 ERROR: Encountered non-finite generator loss at iter 22580; skipping update. +2025-11-04 13:31:28,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,586 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,586 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:28,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.52, mean=0.1127, std=3.138, absmax=13.07 +2025-11-04 13:31:28,588 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=11.39, mean=0.08298, std=2.891, absmax=11.4 +2025-11-04 13:31:28,945 ERROR: Encountered non-finite generator loss at iter 22581; skipping update. +2025-11-04 13:31:28,946 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,947 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:28,947 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:28,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.29, mean=-0.2074, std=3.183, absmax=13.39 +2025-11-04 13:31:28,948 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=10.97, mean=-0.2323, std=2.912, absmax=12.61 +2025-11-04 13:31:29,305 ERROR: Encountered non-finite generator loss at iter 22582; skipping update. +2025-11-04 13:31:29,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:29,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:29,306 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:29,307 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:29,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.6, mean=-0.1257, std=2.656, absmax=12.69 +2025-11-04 13:31:29,308 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=11.6, mean=-0.06746, std=2.564, absmax=12.97 +2025-11-04 13:31:29,665 ERROR: Encountered non-finite generator loss at iter 22583; skipping update. +2025-11-04 13:31:29,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:29,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:29,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:29,667 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:29,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.59, max=12.65, mean=-0.1517, std=2.781, absmax=12.65 +2025-11-04 13:31:29,668 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.64, mean=-0.1694, std=2.68, absmax=11.64 +2025-11-04 13:31:30,025 ERROR: Encountered non-finite generator loss at iter 22584; skipping update. +2025-11-04 13:31:30,026 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:30,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=13.32, mean=-0.3331, std=3.575, absmax=14.45 +2025-11-04 13:31:30,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.62, max=11.96, mean=-0.28, std=3.4, absmax=14.62 +2025-11-04 13:31:30,386 ERROR: Encountered non-finite generator loss at iter 22585; skipping update. +2025-11-04 13:31:30,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,389 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:30,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.47, max=13.61, mean=-0.2544, std=2.913, absmax=15.47 +2025-11-04 13:31:30,390 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.2, max=10.18, mean=-0.2774, std=2.693, absmax=14.2 +2025-11-04 13:31:30,746 ERROR: Encountered non-finite generator loss at iter 22586; skipping update. +2025-11-04 13:31:30,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:30,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:30,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=16.18, mean=-0.1486, std=3.004, absmax=16.18 +2025-11-04 13:31:30,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=14.3, mean=-0.1816, std=2.736, absmax=14.3 +2025-11-04 13:31:31,105 ERROR: Encountered non-finite generator loss at iter 22587; skipping update. +2025-11-04 13:31:31,106 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,107 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:31,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=12.23, mean=-0.3458, std=3.047, absmax=14.74 +2025-11-04 13:31:31,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.21, max=10.94, mean=-0.2913, std=2.908, absmax=15.21 +2025-11-04 13:31:31,465 ERROR: Encountered non-finite generator loss at iter 22588; skipping update. +2025-11-04 13:31:31,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:31,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=14.18, mean=-0.01887, std=3.33, absmax=14.54 +2025-11-04 13:31:31,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=13.32, mean=-0.03981, std=3.195, absmax=13.32 +2025-11-04 13:31:31,826 ERROR: Encountered non-finite generator loss at iter 22589; skipping update. +2025-11-04 13:31:31,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,828 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:31,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:31,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=14.21, mean=-0.1516, std=3.764, absmax=14.4 +2025-11-04 13:31:31,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=13.32, mean=-0.102, std=3.552, absmax=13.32 +2025-11-04 13:31:32,185 ERROR: Encountered non-finite generator loss at iter 22590; skipping update. +2025-11-04 13:31:32,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:32,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=10.59, mean=-0.08515, std=2.993, absmax=12.45 +2025-11-04 13:31:32,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.13, mean=-0.08099, std=2.656, absmax=11.14 +2025-11-04 13:31:32,545 ERROR: Encountered non-finite generator loss at iter 22591; skipping update. +2025-11-04 13:31:32,546 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,547 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:32,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=16.71, mean=-0.2215, std=2.359, absmax=16.71 +2025-11-04 13:31:32,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=14.05, mean=-0.2078, std=2.277, absmax=14.05 +2025-11-04 13:31:32,905 ERROR: Encountered non-finite generator loss at iter 22592; skipping update. +2025-11-04 13:31:32,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:32,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:32,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.03, max=14.63, mean=-0.3235, std=3.432, absmax=15.03 +2025-11-04 13:31:32,909 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.99, max=12.28, mean=-0.2888, std=3.192, absmax=13.99 +2025-11-04 13:31:33,265 ERROR: Encountered non-finite generator loss at iter 22593; skipping update. +2025-11-04 13:31:33,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:33,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.07, mean=-0.09556, std=2.749, absmax=12.07 +2025-11-04 13:31:33,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.86, mean=-0.08775, std=2.565, absmax=10.9 +2025-11-04 13:31:33,625 ERROR: Encountered non-finite generator loss at iter 22594; skipping update. +2025-11-04 13:31:33,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:33,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.5, mean=-0.08773, std=3.012, absmax=12.5 +2025-11-04 13:31:33,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=10.03, mean=-0.05073, std=2.73, absmax=10.81 +2025-11-04 13:31:33,985 ERROR: Encountered non-finite generator loss at iter 22595; skipping update. +2025-11-04 13:31:33,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:33,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:33,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=16.71, mean=-0.1414, std=3.016, absmax=16.71 +2025-11-04 13:31:33,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=14.05, mean=-0.1195, std=2.815, absmax=14.05 +2025-11-04 13:31:34,346 ERROR: Encountered non-finite generator loss at iter 22596; skipping update. +2025-11-04 13:31:34,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:34,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:34,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:34,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:34,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=12.54, mean=-0.1404, std=2.602, absmax=12.54 +2025-11-04 13:31:34,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.82, mean=-0.1251, std=2.483, absmax=12.82 +2025-11-04 13:31:34,706 ERROR: Encountered non-finite generator loss at iter 22597; skipping update. +2025-11-04 13:31:34,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:34,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:34,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:34,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:34,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.3, max=11.31, mean=-0.2996, std=3.53, absmax=15.3 +2025-11-04 13:31:34,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=10.1, mean=-0.268, std=3.236, absmax=13.61 +2025-11-04 13:31:35,065 ERROR: Encountered non-finite generator loss at iter 22598; skipping update. +2025-11-04 13:31:35,066 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,066 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,067 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,067 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:35,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=15.09, mean=-0.1809, std=3.163, absmax=15.09 +2025-11-04 13:31:35,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=11.47, mean=-0.1503, std=2.953, absmax=12.67 +2025-11-04 13:31:35,426 ERROR: Encountered non-finite generator loss at iter 22599; skipping update. +2025-11-04 13:31:35,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,428 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:35,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.42, mean=-0.135, std=2.848, absmax=13.57 +2025-11-04 13:31:35,429 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.6, mean=-0.1503, std=2.596, absmax=11.57 +2025-11-04 13:31:35,786 ERROR: Encountered non-finite generator loss at iter 22600; skipping update. +2025-11-04 13:31:35,786 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,787 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:35,788 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:35,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.19, mean=-0.1594, std=3.421, absmax=14.19 +2025-11-04 13:31:35,789 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.81, mean=-0.1505, std=3.122, absmax=12.81 +2025-11-04 13:31:35,789 INFO: [38..][epoch: 0, step: 22,600, lr:(2.000e-04,)] [eta: 1 day, 5:37:42, time (data): 0.360 (0.000)] +2025-11-04 13:31:36,146 ERROR: Encountered non-finite generator loss at iter 22601; skipping update. +2025-11-04 13:31:36,147 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,148 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:36,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=12.07, mean=-0.03298, std=2.799, absmax=12.07 +2025-11-04 13:31:36,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.04, mean=0.01599, std=2.647, absmax=11.22 +2025-11-04 13:31:36,506 ERROR: Encountered non-finite generator loss at iter 22602; skipping update. +2025-11-04 13:31:36,507 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:36,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.26, mean=0.1747, std=3.461, absmax=14.26 +2025-11-04 13:31:36,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=13.26, mean=0.1896, std=3.273, absmax=13.26 +2025-11-04 13:31:36,866 ERROR: Encountered non-finite generator loss at iter 22603; skipping update. +2025-11-04 13:31:36,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,867 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:36,868 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:36,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=16.12, mean=-0.141, std=2.86, absmax=16.12 +2025-11-04 13:31:36,869 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=12.46, mean=-0.1459, std=2.679, absmax=12.46 +2025-11-04 13:31:37,225 ERROR: Encountered non-finite generator loss at iter 22604; skipping update. +2025-11-04 13:31:37,226 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,227 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,228 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:37,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.89, mean=0.1224, std=2.952, absmax=13.94 +2025-11-04 13:31:37,229 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=11.47, mean=0.1362, std=2.785, absmax=11.47 +2025-11-04 13:31:37,586 ERROR: Encountered non-finite generator loss at iter 22605; skipping update. +2025-11-04 13:31:37,587 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,587 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,588 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:37,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=15.2, mean=0.02319, std=3.515, absmax=15.2 +2025-11-04 13:31:37,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=14.73, mean=0.04725, std=3.347, absmax=14.73 +2025-11-04 13:31:37,946 ERROR: Encountered non-finite generator loss at iter 22606; skipping update. +2025-11-04 13:31:37,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:37,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:37,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.82, mean=-0.01179, std=2.898, absmax=13.82 +2025-11-04 13:31:37,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=12.35, mean=0.001862, std=2.671, absmax=12.35 +2025-11-04 13:31:38,306 ERROR: Encountered non-finite generator loss at iter 22607; skipping update. +2025-11-04 13:31:38,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:38,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:38,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:38,309 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:38,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.64, mean=-0.07623, std=3.181, absmax=11.75 +2025-11-04 13:31:38,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.82, mean=-0.1014, std=3.015, absmax=11.82 +2025-11-04 13:31:38,667 ERROR: Encountered non-finite generator loss at iter 22608; skipping update. +2025-11-04 13:31:38,668 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:38,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:38,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:38,669 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:38,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=13.9, mean=-0.1505, std=3.589, absmax=14.04 +2025-11-04 13:31:38,670 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=13.06, mean=-0.1384, std=3.365, absmax=13.06 +2025-11-04 13:31:39,028 ERROR: Encountered non-finite generator loss at iter 22609; skipping update. +2025-11-04 13:31:39,030 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,030 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,031 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:39,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=13.6, mean=-0.1343, std=3.495, absmax=14.39 +2025-11-04 13:31:39,032 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.32, max=11.26, mean=-0.1309, std=3.248, absmax=13.32 +2025-11-04 13:31:39,390 ERROR: Encountered non-finite generator loss at iter 22610; skipping update. +2025-11-04 13:31:39,391 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,392 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:39,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=13.31, mean=-0.09926, std=3.197, absmax=13.31 +2025-11-04 13:31:39,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=12.31, mean=-0.0818, std=2.963, absmax=12.31 +2025-11-04 13:31:39,751 ERROR: Encountered non-finite generator loss at iter 22611; skipping update. +2025-11-04 13:31:39,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,753 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:39,753 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:39,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.06, mean=-0.1646, std=2.919, absmax=13.18 +2025-11-04 13:31:39,754 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.744, max=11.89, mean=-0.1426, std=2.715, absmax=11.89 +2025-11-04 13:31:40,112 ERROR: Encountered non-finite generator loss at iter 22612; skipping update. +2025-11-04 13:31:40,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:40,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=15, mean=-0.2063, std=2.744, absmax=15 +2025-11-04 13:31:40,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.741, max=13.04, mean=-0.1871, std=2.609, absmax=13.04 +2025-11-04 13:31:40,473 ERROR: Encountered non-finite generator loss at iter 22613; skipping update. +2025-11-04 13:31:40,474 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,475 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,475 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:40,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.62, max=14.28, mean=0.1705, std=3.237, absmax=15.62 +2025-11-04 13:31:40,476 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=12.24, mean=0.1671, std=2.965, absmax=12.75 +2025-11-04 13:31:40,834 ERROR: Encountered non-finite generator loss at iter 22614; skipping update. +2025-11-04 13:31:40,835 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,836 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:40,836 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:40,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=14.16, mean=-0.09115, std=2.959, absmax=14.16 +2025-11-04 13:31:40,837 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=12.39, mean=-0.0812, std=2.786, absmax=12.39 +2025-11-04 13:31:41,194 ERROR: Encountered non-finite generator loss at iter 22615; skipping update. +2025-11-04 13:31:41,195 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,196 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,196 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:41,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.86, mean=-0.1638, std=2.869, absmax=12.35 +2025-11-04 13:31:41,197 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.12, mean=-0.1194, std=2.713, absmax=11.21 +2025-11-04 13:31:41,554 ERROR: Encountered non-finite generator loss at iter 22616; skipping update. +2025-11-04 13:31:41,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:41,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.62, mean=-0.3233, std=2.743, absmax=12.51 +2025-11-04 13:31:41,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=10.14, mean=-0.3385, std=2.575, absmax=11.94 +2025-11-04 13:31:41,915 ERROR: Encountered non-finite generator loss at iter 22617; skipping update. +2025-11-04 13:31:41,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:41,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:41,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=13.37, mean=-0.09373, std=3.75, absmax=14.29 +2025-11-04 13:31:41,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=12.26, mean=-0.07172, std=3.46, absmax=12.86 +2025-11-04 13:31:42,276 ERROR: Encountered non-finite generator loss at iter 22618; skipping update. +2025-11-04 13:31:42,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:42,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:42,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:42,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:42,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.32, mean=-0.2095, std=3.264, absmax=13.3 +2025-11-04 13:31:42,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=9.674, mean=-0.2131, std=3.102, absmax=11.77 +2025-11-04 13:31:42,637 ERROR: Encountered non-finite generator loss at iter 22619; skipping update. +2025-11-04 13:31:42,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:42,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:42,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:42,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:42,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=14.37, mean=-0.02609, std=3.026, absmax=14.37 +2025-11-04 13:31:42,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=14.44, mean=0.02904, std=2.911, absmax=14.44 +2025-11-04 13:31:42,998 ERROR: Encountered non-finite generator loss at iter 22620; skipping update. +2025-11-04 13:31:42,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:43,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=11.88, mean=-0.2664, std=3.455, absmax=14.41 +2025-11-04 13:31:43,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=10.27, mean=-0.252, std=3.246, absmax=12.69 +2025-11-04 13:31:43,359 ERROR: Encountered non-finite generator loss at iter 22621; skipping update. +2025-11-04 13:31:43,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:43,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=13.6, mean=-0.001206, std=3.646, absmax=13.72 +2025-11-04 13:31:43,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=12.26, mean=-0.02764, std=3.39, absmax=12.37 +2025-11-04 13:31:43,720 ERROR: Encountered non-finite generator loss at iter 22622; skipping update. +2025-11-04 13:31:43,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:43,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:43,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.1, mean=-0.2029, std=2.683, absmax=12.3 +2025-11-04 13:31:43,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=8.555, mean=-0.1798, std=2.498, absmax=11.27 +2025-11-04 13:31:44,080 ERROR: Encountered non-finite generator loss at iter 22623; skipping update. +2025-11-04 13:31:44,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:44,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.14, mean=-0.1514, std=3.079, absmax=13.41 +2025-11-04 13:31:44,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.67, mean=-0.1639, std=2.891, absmax=12.38 +2025-11-04 13:31:44,441 ERROR: Encountered non-finite generator loss at iter 22624; skipping update. +2025-11-04 13:31:44,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:44,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=14.05, mean=-0.2408, std=2.797, absmax=14.05 +2025-11-04 13:31:44,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=11.27, mean=-0.2513, std=2.56, absmax=11.27 +2025-11-04 13:31:44,802 ERROR: Encountered non-finite generator loss at iter 22625; skipping update. +2025-11-04 13:31:44,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:44,804 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:44,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=17.61, mean=-0.121, std=3.178, absmax=17.61 +2025-11-04 13:31:44,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=15.03, mean=-0.1029, std=2.948, absmax=15.03 +2025-11-04 13:31:45,162 ERROR: Encountered non-finite generator loss at iter 22626; skipping update. +2025-11-04 13:31:45,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:45,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.54, mean=-0.3202, std=3.074, absmax=14.54 +2025-11-04 13:31:45,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=11.96, mean=-0.35, std=2.847, absmax=12.42 +2025-11-04 13:31:45,523 ERROR: Encountered non-finite generator loss at iter 22627; skipping update. +2025-11-04 13:31:45,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,526 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:45,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.23, mean=-0.2315, std=3.359, absmax=13 +2025-11-04 13:31:45,527 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=10.69, mean=-0.2328, std=3.073, absmax=12.81 +2025-11-04 13:31:45,884 ERROR: Encountered non-finite generator loss at iter 22628; skipping update. +2025-11-04 13:31:45,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,886 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,886 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:45,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:45,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=14.98, mean=-0.1846, std=3.084, absmax=14.98 +2025-11-04 13:31:45,888 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.75, max=13.41, mean=-0.1699, std=2.895, absmax=13.75 +2025-11-04 13:31:46,245 ERROR: Encountered non-finite generator loss at iter 22629; skipping update. +2025-11-04 13:31:46,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,248 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:46,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=12.72, mean=-0.06766, std=2.767, absmax=12.72 +2025-11-04 13:31:46,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=11.88, mean=-0.1206, std=2.623, absmax=11.88 +2025-11-04 13:31:46,605 ERROR: Encountered non-finite generator loss at iter 22630; skipping update. +2025-11-04 13:31:46,606 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,607 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,607 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:46,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=11.53, mean=-0.2212, std=2.977, absmax=13.28 +2025-11-04 13:31:46,609 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=10.15, mean=-0.1929, std=2.799, absmax=11.98 +2025-11-04 13:31:46,966 ERROR: Encountered non-finite generator loss at iter 22631; skipping update. +2025-11-04 13:31:46,967 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:46,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:46,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=13.03, mean=-0.04815, std=2.831, absmax=13.03 +2025-11-04 13:31:46,969 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=11.34, mean=-0.09717, std=2.613, absmax=11.34 +2025-11-04 13:31:47,326 ERROR: Encountered non-finite generator loss at iter 22632; skipping update. +2025-11-04 13:31:47,327 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:47,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:47,328 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:47,328 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:47,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.57, mean=-0.009398, std=2.816, absmax=12.51 +2025-11-04 13:31:47,330 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=11.14, mean=-0.02014, std=2.628, absmax=12.35 +2025-11-04 13:31:47,686 ERROR: Encountered non-finite generator loss at iter 22633; skipping update. +2025-11-04 13:31:47,687 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:47,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:47,688 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:47,688 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:47,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=12.66, mean=-0.2759, std=3.039, absmax=12.66 +2025-11-04 13:31:47,690 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.79, mean=-0.2119, std=2.94, absmax=11.9 +2025-11-04 13:31:48,047 ERROR: Encountered non-finite generator loss at iter 22634; skipping update. +2025-11-04 13:31:48,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,048 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,049 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:48,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=11.77, mean=-0.2236, std=2.85, absmax=14.3 +2025-11-04 13:31:48,050 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=10.76, mean=-0.203, std=2.646, absmax=13.09 +2025-11-04 13:31:48,406 ERROR: Encountered non-finite generator loss at iter 22635; skipping update. +2025-11-04 13:31:48,407 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,408 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,408 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:48,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.43, mean=-0.3721, std=3.225, absmax=13.43 +2025-11-04 13:31:48,409 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.81, mean=-0.3556, std=3.009, absmax=11.68 +2025-11-04 13:31:48,766 ERROR: Encountered non-finite generator loss at iter 22636; skipping update. +2025-11-04 13:31:48,767 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:48,768 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:48,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=13.28, mean=-0.09198, std=3.032, absmax=14.06 +2025-11-04 13:31:48,769 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=14.35, mean=-0.09787, std=2.788, absmax=14.35 +2025-11-04 13:31:49,127 ERROR: Encountered non-finite generator loss at iter 22637; skipping update. +2025-11-04 13:31:49,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,128 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:49,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.58, mean=-0.05247, std=3.281, absmax=12.58 +2025-11-04 13:31:49,130 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.51, mean=-0.03421, std=3.012, absmax=11.77 +2025-11-04 13:31:49,486 ERROR: Encountered non-finite generator loss at iter 22638; skipping update. +2025-11-04 13:31:49,487 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,488 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,489 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:49,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.78, mean=-0.1075, std=2.763, absmax=12.78 +2025-11-04 13:31:49,490 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=10.64, mean=-0.109, std=2.513, absmax=10.64 +2025-11-04 13:31:49,848 ERROR: Encountered non-finite generator loss at iter 22639; skipping update. +2025-11-04 13:31:49,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:49,850 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:49,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.02, mean=-0.07505, std=3.333, absmax=12.47 +2025-11-04 13:31:49,851 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=10.02, mean=-0.09699, std=3.118, absmax=11.8 +2025-11-04 13:31:50,208 ERROR: Encountered non-finite generator loss at iter 22640; skipping update. +2025-11-04 13:31:50,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:50,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.7, mean=-0.2575, std=2.84, absmax=13.09 +2025-11-04 13:31:50,213 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=10.29, mean=-0.2443, std=2.695, absmax=11.84 +2025-11-04 13:31:50,570 ERROR: Encountered non-finite generator loss at iter 22641; skipping update. +2025-11-04 13:31:50,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,573 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:50,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.45, mean=-0.1251, std=2.967, absmax=12.45 +2025-11-04 13:31:50,574 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=11.1, mean=-0.1098, std=2.786, absmax=11.1 +2025-11-04 13:31:50,932 ERROR: Encountered non-finite generator loss at iter 22642; skipping update. +2025-11-04 13:31:50,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:50,934 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:50,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.84, mean=-0.2595, std=2.62, absmax=12.17 +2025-11-04 13:31:50,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=10.74, mean=-0.1963, std=2.503, absmax=11.62 +2025-11-04 13:31:51,292 ERROR: Encountered non-finite generator loss at iter 22643; skipping update. +2025-11-04 13:31:51,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:51,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:51,294 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:51,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:51,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=11.23, mean=-0.1107, std=2.627, absmax=13.56 +2025-11-04 13:31:51,295 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=9.916, mean=-0.1076, std=2.479, absmax=11.13 +2025-11-04 13:31:51,652 ERROR: Encountered non-finite generator loss at iter 22644; skipping update. +2025-11-04 13:31:51,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:51,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:51,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:51,655 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:51,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.87, mean=-0.2107, std=2.837, absmax=12.87 +2025-11-04 13:31:51,656 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=11.04, mean=-0.2, std=2.599, absmax=12.49 +2025-11-04 13:31:52,013 ERROR: Encountered non-finite generator loss at iter 22645; skipping update. +2025-11-04 13:31:52,014 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,015 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,015 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:52,016 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=12.32, mean=-0.1198, std=2.685, absmax=12.32 +2025-11-04 13:31:52,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=11.44, mean=-0.1125, std=2.558, absmax=11.44 +2025-11-04 13:31:52,373 ERROR: Encountered non-finite generator loss at iter 22646; skipping update. +2025-11-04 13:31:52,374 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:52,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=10.95, mean=-0.2002, std=2.931, absmax=13.45 +2025-11-04 13:31:52,376 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=10.19, mean=-0.1866, std=2.768, absmax=11.56 +2025-11-04 13:31:52,732 ERROR: Encountered non-finite generator loss at iter 22647; skipping update. +2025-11-04 13:31:52,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,734 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:52,734 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:52,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.84, mean=-0.1772, std=2.632, absmax=13.84 +2025-11-04 13:31:52,735 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=12.07, mean=-0.1327, std=2.447, absmax=12.07 +2025-11-04 13:31:53,092 ERROR: Encountered non-finite generator loss at iter 22648; skipping update. +2025-11-04 13:31:53,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,094 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,095 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:53,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.46, mean=0.09901, std=3.565, absmax=13.46 +2025-11-04 13:31:53,096 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=12.23, mean=0.06631, std=3.254, absmax=12.23 +2025-11-04 13:31:53,453 ERROR: Encountered non-finite generator loss at iter 22649; skipping update. +2025-11-04 13:31:53,454 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,455 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,455 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:53,456 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=10.86, mean=-0.2584, std=2.618, absmax=12.13 +2025-11-04 13:31:53,457 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=9.616, mean=-0.2375, std=2.486, absmax=10.16 +2025-11-04 13:31:53,814 ERROR: Encountered non-finite generator loss at iter 22650; skipping update. +2025-11-04 13:31:53,815 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,816 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:53,816 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:53,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=10.55, mean=-0.07653, std=2.714, absmax=12.49 +2025-11-04 13:31:53,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=9.972, mean=-0.1067, std=2.57, absmax=10.99 +2025-11-04 13:31:54,174 ERROR: Encountered non-finite generator loss at iter 22651; skipping update. +2025-11-04 13:31:54,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:54,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.8, mean=-0.259, std=2.949, absmax=12.8 +2025-11-04 13:31:54,177 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.69, mean=-0.234, std=2.641, absmax=11.69 +2025-11-04 13:31:54,534 ERROR: Encountered non-finite generator loss at iter 22652; skipping update. +2025-11-04 13:31:54,535 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,536 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:54,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.7, max=16.02, mean=-0.07862, std=3.598, absmax=16.02 +2025-11-04 13:31:54,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.57, max=15.15, mean=-0.0674, std=3.307, absmax=15.15 +2025-11-04 13:31:54,894 ERROR: Encountered non-finite generator loss at iter 22653; skipping update. +2025-11-04 13:31:54,895 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,896 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:54,897 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:54,897 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=16.57, mean=-0.1397, std=3.809, absmax=16.57 +2025-11-04 13:31:54,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=15.44, mean=-0.09241, std=3.608, absmax=15.44 +2025-11-04 13:31:55,254 ERROR: Encountered non-finite generator loss at iter 22654; skipping update. +2025-11-04 13:31:55,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,257 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:55,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=13.3, mean=-0.12, std=3.107, absmax=14.02 +2025-11-04 13:31:55,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=10.26, mean=-0.1235, std=2.821, absmax=12.52 +2025-11-04 13:31:55,614 ERROR: Encountered non-finite generator loss at iter 22655; skipping update. +2025-11-04 13:31:55,615 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:55,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=16.53, mean=-0.2746, std=2.72, absmax=16.53 +2025-11-04 13:31:55,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=11.69, mean=-0.2738, std=2.461, absmax=12.31 +2025-11-04 13:31:55,974 ERROR: Encountered non-finite generator loss at iter 22656; skipping update. +2025-11-04 13:31:55,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:55,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:55,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=15.21, mean=0.001028, std=2.892, absmax=15.21 +2025-11-04 13:31:55,978 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=14.57, mean=-0.01903, std=2.667, absmax=14.57 +2025-11-04 13:31:56,335 ERROR: Encountered non-finite generator loss at iter 22657; skipping update. +2025-11-04 13:31:56,336 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:56,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:56,337 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:56,337 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:56,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.27, mean=-0.2597, std=2.647, absmax=12.02 +2025-11-04 13:31:56,338 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=9.844, mean=-0.3134, std=2.432, absmax=10.99 +2025-11-04 13:31:56,696 ERROR: Encountered non-finite generator loss at iter 22658; skipping update. +2025-11-04 13:31:56,696 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:56,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:56,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:56,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:56,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=16.3, mean=0.2735, std=3.741, absmax=16.3 +2025-11-04 13:31:56,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=15.99, mean=0.2878, std=3.522, absmax=15.99 +2025-11-04 13:31:57,056 ERROR: Encountered non-finite generator loss at iter 22659; skipping update. +2025-11-04 13:31:57,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:57,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.23, mean=-0.2135, std=2.765, absmax=11.92 +2025-11-04 13:31:57,059 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=9.002, mean=-0.1965, std=2.627, absmax=11.98 +2025-11-04 13:31:57,416 ERROR: Encountered non-finite generator loss at iter 22660; skipping update. +2025-11-04 13:31:57,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:57,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.3, max=13.79, mean=-0.2002, std=2.996, absmax=14.3 +2025-11-04 13:31:57,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=10.48, mean=-0.2004, std=2.742, absmax=10.48 +2025-11-04 13:31:57,777 ERROR: Encountered non-finite generator loss at iter 22661; skipping update. +2025-11-04 13:31:57,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:57,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:57,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=10.93, mean=-0.1839, std=2.369, absmax=11.52 +2025-11-04 13:31:57,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=9.933, mean=-0.18, std=2.177, absmax=10.01 +2025-11-04 13:31:58,137 ERROR: Encountered non-finite generator loss at iter 22662; skipping update. +2025-11-04 13:31:58,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,140 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:58,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=11.21, mean=-0.1242, std=3.112, absmax=13.45 +2025-11-04 13:31:58,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=9.823, mean=-0.1186, std=2.998, absmax=11.5 +2025-11-04 13:31:58,498 ERROR: Encountered non-finite generator loss at iter 22663; skipping update. +2025-11-04 13:31:58,499 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,500 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,500 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:58,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=14.62, mean=-0.2941, std=2.443, absmax=14.62 +2025-11-04 13:31:58,501 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.993, max=10.87, mean=-0.2882, std=2.33, absmax=10.87 +2025-11-04 13:31:58,858 ERROR: Encountered non-finite generator loss at iter 22664; skipping update. +2025-11-04 13:31:58,859 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,860 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,860 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:58,860 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:58,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.04, mean=-0.3233, std=2.909, absmax=13.58 +2025-11-04 13:31:58,862 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=9.546, mean=-0.2938, std=2.671, absmax=11.9 +2025-11-04 13:31:59,219 ERROR: Encountered non-finite generator loss at iter 22665; skipping update. +2025-11-04 13:31:59,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:59,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.23, mean=-0.2004, std=2.711, absmax=12.36 +2025-11-04 13:31:59,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=10.93, mean=-0.182, std=2.494, absmax=10.93 +2025-11-04 13:31:59,579 ERROR: Encountered non-finite generator loss at iter 22666; skipping update. +2025-11-04 13:31:59,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,582 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:59,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=10.5, mean=-0.288, std=2.805, absmax=12.29 +2025-11-04 13:31:59,583 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=9.016, mean=-0.2568, std=2.613, absmax=11.1 +2025-11-04 13:31:59,940 ERROR: Encountered non-finite generator loss at iter 22667; skipping update. +2025-11-04 13:31:59,941 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,942 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:31:59,942 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:31:59,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.32, mean=-0.2172, std=2.836, absmax=13.32 +2025-11-04 13:31:59,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=11.56, mean=-0.2182, std=2.688, absmax=11.56 +2025-11-04 13:32:00,301 ERROR: Encountered non-finite generator loss at iter 22668; skipping update. +2025-11-04 13:32:00,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:00,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:00,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:00,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:00,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.42, mean=-0.1563, std=2.585, absmax=13.42 +2025-11-04 13:32:00,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=11.32, mean=-0.1678, std=2.417, absmax=11.32 +2025-11-04 13:32:00,661 ERROR: Encountered non-finite generator loss at iter 22669; skipping update. +2025-11-04 13:32:00,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:00,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:00,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:00,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:00,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=14.68, mean=-0.286, std=2.851, absmax=14.68 +2025-11-04 13:32:00,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=13.49, mean=-0.2931, std=2.93, absmax=13.49 +2025-11-04 13:32:01,021 ERROR: Encountered non-finite generator loss at iter 22670; skipping update. +2025-11-04 13:32:01,022 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,023 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,023 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:01,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=13.32, mean=-0.2163, std=3.048, absmax=13.34 +2025-11-04 13:32:01,024 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=12.14, mean=-0.1934, std=2.834, absmax=12.14 +2025-11-04 13:32:01,381 ERROR: Encountered non-finite generator loss at iter 22671; skipping update. +2025-11-04 13:32:01,382 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,383 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,383 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:01,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=14.03, mean=-0.2255, std=3.153, absmax=14.03 +2025-11-04 13:32:01,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.51, mean=-0.1966, std=2.911, absmax=12.51 +2025-11-04 13:32:01,742 ERROR: Encountered non-finite generator loss at iter 22672; skipping update. +2025-11-04 13:32:01,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:01,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:01,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.06, mean=-0.2078, std=2.785, absmax=12.27 +2025-11-04 13:32:01,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.39, mean=-0.2004, std=2.637, absmax=11.14 +2025-11-04 13:32:02,104 ERROR: Encountered non-finite generator loss at iter 22673; skipping update. +2025-11-04 13:32:02,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:02,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.4, mean=-0.313, std=2.7, absmax=12.38 +2025-11-04 13:32:02,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=10.31, mean=-0.2715, std=2.518, absmax=11.23 +2025-11-04 13:32:02,464 ERROR: Encountered non-finite generator loss at iter 22674; skipping update. +2025-11-04 13:32:02,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:02,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.69, mean=0.1947, std=3.786, absmax=14.69 +2025-11-04 13:32:02,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=13.24, mean=0.1784, std=3.45, absmax=13.24 +2025-11-04 13:32:02,825 ERROR: Encountered non-finite generator loss at iter 22675; skipping update. +2025-11-04 13:32:02,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:02,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:02,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.84, max=12.41, mean=-0.1945, std=3.283, absmax=14.84 +2025-11-04 13:32:02,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=10.77, mean=-0.1864, std=3.102, absmax=13.47 +2025-11-04 13:32:03,185 ERROR: Encountered non-finite generator loss at iter 22676; skipping update. +2025-11-04 13:32:03,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,188 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:03,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.37, mean=-0.2162, std=3.118, absmax=14.01 +2025-11-04 13:32:03,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.67, mean=-0.2188, std=2.853, absmax=11.67 +2025-11-04 13:32:03,550 ERROR: Encountered non-finite generator loss at iter 22677; skipping update. +2025-11-04 13:32:03,551 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,553 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:03,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=12.34, mean=-0.1984, std=2.793, absmax=12.34 +2025-11-04 13:32:03,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=10.19, mean=-0.1243, std=2.69, absmax=10.87 +2025-11-04 13:32:03,912 ERROR: Encountered non-finite generator loss at iter 22678; skipping update. +2025-11-04 13:32:03,913 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:03,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:03,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.45, mean=-0.2798, std=2.841, absmax=13.45 +2025-11-04 13:32:03,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=10.19, mean=-0.2457, std=2.657, absmax=11.49 +2025-11-04 13:32:04,275 ERROR: Encountered non-finite generator loss at iter 22679; skipping update. +2025-11-04 13:32:04,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:04,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:04,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:04,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:04,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.05, mean=-0.2578, std=2.416, absmax=12.97 +2025-11-04 13:32:04,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.956, mean=-0.246, std=2.3, absmax=11.4 +2025-11-04 13:32:04,638 ERROR: Encountered non-finite generator loss at iter 22680; skipping update. +2025-11-04 13:32:04,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:04,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:04,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:04,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:04,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=14.35, mean=-0.1473, std=3.113, absmax=14.58 +2025-11-04 13:32:04,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.88, max=13.13, mean=-0.1165, std=2.867, absmax=13.88 +2025-11-04 13:32:05,002 ERROR: Encountered non-finite generator loss at iter 22681; skipping update. +2025-11-04 13:32:05,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:05,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.76, mean=-0.2688, std=3.17, absmax=12.89 +2025-11-04 13:32:05,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=11.34, mean=-0.2179, std=2.956, absmax=12.9 +2025-11-04 13:32:05,364 ERROR: Encountered non-finite generator loss at iter 22682; skipping update. +2025-11-04 13:32:05,365 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:05,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=16.21, mean=-0.1587, std=3.029, absmax=16.21 +2025-11-04 13:32:05,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=14.97, mean=-0.1234, std=2.795, absmax=14.97 +2025-11-04 13:32:05,727 ERROR: Encountered non-finite generator loss at iter 22683; skipping update. +2025-11-04 13:32:05,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:05,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:05,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.48, mean=-0.08106, std=2.539, absmax=11.48 +2025-11-04 13:32:05,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.089, max=11.01, mean=-0.06328, std=2.39, absmax=11.01 +2025-11-04 13:32:06,087 ERROR: Encountered non-finite generator loss at iter 22684; skipping update. +2025-11-04 13:32:06,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:06,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=12.85, mean=-0.1042, std=2.805, absmax=13.07 +2025-11-04 13:32:06,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=11.7, mean=-0.08803, std=2.615, absmax=11.7 +2025-11-04 13:32:06,448 ERROR: Encountered non-finite generator loss at iter 22685; skipping update. +2025-11-04 13:32:06,450 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:06,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=13.7, mean=-0.1668, std=3.254, absmax=14.26 +2025-11-04 13:32:06,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=11.29, mean=-0.1743, std=2.97, absmax=12.49 +2025-11-04 13:32:06,809 ERROR: Encountered non-finite generator loss at iter 22686; skipping update. +2025-11-04 13:32:06,810 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:06,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:06,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=14.75, mean=0.004377, std=3.612, absmax=14.75 +2025-11-04 13:32:06,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.76, max=13.39, mean=0.02239, std=3.32, absmax=14.76 +2025-11-04 13:32:07,169 ERROR: Encountered non-finite generator loss at iter 22687; skipping update. +2025-11-04 13:32:07,170 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:07,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=11.45, mean=-0.2112, std=2.769, absmax=12.61 +2025-11-04 13:32:07,173 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=10.78, mean=-0.2196, std=2.635, absmax=11.19 +2025-11-04 13:32:07,530 ERROR: Encountered non-finite generator loss at iter 22688; skipping update. +2025-11-04 13:32:07,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,532 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,532 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:07,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.59, mean=-0.142, std=2.96, absmax=13.59 +2025-11-04 13:32:07,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.12, mean=-0.1265, std=2.914, absmax=12.12 +2025-11-04 13:32:07,890 ERROR: Encountered non-finite generator loss at iter 22689; skipping update. +2025-11-04 13:32:07,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:07,892 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:07,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=15.65, mean=-0.0604, std=3.244, absmax=15.65 +2025-11-04 13:32:07,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.82, mean=-0.05104, std=2.977, absmax=11.82 +2025-11-04 13:32:08,251 ERROR: Encountered non-finite generator loss at iter 22690; skipping update. +2025-11-04 13:32:08,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:08,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.9, mean=-0.2163, std=2.482, absmax=12.3 +2025-11-04 13:32:08,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=10.36, mean=-0.1796, std=2.321, absmax=10.61 +2025-11-04 13:32:08,611 ERROR: Encountered non-finite generator loss at iter 22691; skipping update. +2025-11-04 13:32:08,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:08,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.64, max=12.88, mean=-0.1164, std=3.286, absmax=16.64 +2025-11-04 13:32:08,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.83, max=11.75, mean=-0.1124, std=3.112, absmax=13.83 +2025-11-04 13:32:08,972 ERROR: Encountered non-finite generator loss at iter 22692; skipping update. +2025-11-04 13:32:08,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:08,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:08,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=12.96, mean=-0.03953, std=2.721, absmax=13.25 +2025-11-04 13:32:08,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=12.48, mean=-0.0161, std=2.589, absmax=12.48 +2025-11-04 13:32:09,331 ERROR: Encountered non-finite generator loss at iter 22693; skipping update. +2025-11-04 13:32:09,332 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:09,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:09,333 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:09,333 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:09,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16, max=14.72, mean=-0.2038, std=2.994, absmax=16 +2025-11-04 13:32:09,334 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.13, max=12.56, mean=-0.1751, std=2.682, absmax=14.13 +2025-11-04 13:32:09,691 ERROR: Encountered non-finite generator loss at iter 22694; skipping update. +2025-11-04 13:32:09,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:09,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:09,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:09,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:09,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.66, mean=-0.1216, std=2.784, absmax=12.66 +2025-11-04 13:32:09,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=10.59, mean=-0.1203, std=2.582, absmax=10.66 +2025-11-04 13:32:10,052 ERROR: Encountered non-finite generator loss at iter 22695; skipping update. +2025-11-04 13:32:10,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,054 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:10,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.04, mean=-0.1933, std=2.625, absmax=12.39 +2025-11-04 13:32:10,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=8.863, mean=-0.2285, std=2.454, absmax=11.74 +2025-11-04 13:32:10,412 ERROR: Encountered non-finite generator loss at iter 22696; skipping update. +2025-11-04 13:32:10,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,414 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,414 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:10,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.23, mean=-0.1945, std=2.94, absmax=13.14 +2025-11-04 13:32:10,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=9.312, mean=-0.2238, std=2.736, absmax=11.29 +2025-11-04 13:32:10,772 ERROR: Encountered non-finite generator loss at iter 22697; skipping update. +2025-11-04 13:32:10,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:10,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:10,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=11.51, mean=-0.1815, std=2.913, absmax=12.1 +2025-11-04 13:32:10,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.985, max=10.5, mean=-0.1163, std=2.739, absmax=10.5 +2025-11-04 13:32:11,133 ERROR: Encountered non-finite generator loss at iter 22698; skipping update. +2025-11-04 13:32:11,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,136 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:11,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.4, mean=-0.267, std=2.828, absmax=12.66 +2025-11-04 13:32:11,138 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.18, mean=-0.205, std=2.707, absmax=12.72 +2025-11-04 13:32:11,495 ERROR: Encountered non-finite generator loss at iter 22699; skipping update. +2025-11-04 13:32:11,496 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,497 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:11,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=15.5, mean=-0.005113, std=3.216, absmax=15.5 +2025-11-04 13:32:11,498 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=13.35, mean=-0.02595, std=2.941, absmax=13.35 +2025-11-04 13:32:11,855 ERROR: Encountered non-finite generator loss at iter 22700; skipping update. +2025-11-04 13:32:11,856 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,857 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:11,857 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:11,858 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=14.1, mean=-0.07115, std=3.076, absmax=14.1 +2025-11-04 13:32:11,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=12.37, mean=-0.02661, std=2.912, absmax=12.37 +2025-11-04 13:32:11,859 INFO: [38..][epoch: 0, step: 22,700, lr:(2.000e-04,)] [eta: 1 day, 5:30:51, time (data): 0.360 (0.000)] +2025-11-04 13:32:12,217 ERROR: Encountered non-finite generator loss at iter 22701; skipping update. +2025-11-04 13:32:12,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:12,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.53, mean=-0.2554, std=2.897, absmax=15.53 +2025-11-04 13:32:12,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.53, mean=-0.3094, std=2.628, absmax=12.53 +2025-11-04 13:32:12,577 ERROR: Encountered non-finite generator loss at iter 22702; skipping update. +2025-11-04 13:32:12,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:12,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.01, max=15.67, mean=0.07842, std=3.525, absmax=15.67 +2025-11-04 13:32:12,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=14.54, mean=0.0582, std=3.336, absmax=14.54 +2025-11-04 13:32:12,938 ERROR: Encountered non-finite generator loss at iter 22703; skipping update. +2025-11-04 13:32:12,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,940 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:12,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:12,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.89, mean=-0.0764, std=2.885, absmax=13.89 +2025-11-04 13:32:12,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=12.08, mean=-0.06856, std=2.592, absmax=12.08 +2025-11-04 13:32:13,298 ERROR: Encountered non-finite generator loss at iter 22704; skipping update. +2025-11-04 13:32:13,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:13,300 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:13,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:13,301 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:13,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.74, mean=-0.07024, std=3.468, absmax=13.74 +2025-11-04 13:32:13,302 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=11.45, mean=-0.0715, std=3.235, absmax=11.45 +2025-11-04 13:32:13,659 ERROR: Encountered non-finite generator loss at iter 22705; skipping update. +2025-11-04 13:32:13,660 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:13,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:13,661 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:13,661 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:13,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.83, mean=0.003578, std=3.049, absmax=14.83 +2025-11-04 13:32:13,663 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=13.6, mean=0.01848, std=2.841, absmax=13.6 +2025-11-04 13:32:14,020 ERROR: Encountered non-finite generator loss at iter 22706; skipping update. +2025-11-04 13:32:14,021 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,022 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,022 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:14,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.52, mean=-0.02898, std=3.102, absmax=14.52 +2025-11-04 13:32:14,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.58, mean=-0.02011, std=2.936, absmax=12.58 +2025-11-04 13:32:14,381 ERROR: Encountered non-finite generator loss at iter 22707; skipping update. +2025-11-04 13:32:14,382 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,383 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,383 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:14,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=14.18, mean=-0.08156, std=3.747, absmax=15.27 +2025-11-04 13:32:14,384 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.07, max=13.35, mean=-0.04011, std=3.391, absmax=14.07 +2025-11-04 13:32:14,742 ERROR: Encountered non-finite generator loss at iter 22708; skipping update. +2025-11-04 13:32:14,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,743 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:14,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:14,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.98, mean=-0.3225, std=2.889, absmax=12.98 +2025-11-04 13:32:14,745 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.31, mean=-0.28, std=2.7, absmax=11.31 +2025-11-04 13:32:15,102 ERROR: Encountered non-finite generator loss at iter 22709; skipping update. +2025-11-04 13:32:15,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:15,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=18.38, mean=-0.1275, std=3.609, absmax=18.38 +2025-11-04 13:32:15,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.5, mean=-0.09696, std=3.235, absmax=12.5 +2025-11-04 13:32:15,466 ERROR: Encountered non-finite generator loss at iter 22710; skipping update. +2025-11-04 13:32:15,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:15,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.4, mean=0.02078, std=3.202, absmax=13.4 +2025-11-04 13:32:15,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=11.84, mean=0.01213, std=2.916, absmax=11.84 +2025-11-04 13:32:15,826 ERROR: Encountered non-finite generator loss at iter 22711; skipping update. +2025-11-04 13:32:15,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,828 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:15,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:15,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.31, mean=-0.3321, std=2.822, absmax=14.31 +2025-11-04 13:32:15,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.41, mean=-0.2875, std=2.653, absmax=11.41 +2025-11-04 13:32:16,187 ERROR: Encountered non-finite generator loss at iter 22712; skipping update. +2025-11-04 13:32:16,188 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,189 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:16,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.57, max=15.18, mean=-0.2077, std=3.411, absmax=15.57 +2025-11-04 13:32:16,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.99, max=13.18, mean=-0.2014, std=3.09, absmax=13.99 +2025-11-04 13:32:16,548 ERROR: Encountered non-finite generator loss at iter 22713; skipping update. +2025-11-04 13:32:16,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,550 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:16,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11, mean=-0.3255, std=2.654, absmax=11.88 +2025-11-04 13:32:16,551 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=8.548, mean=-0.2999, std=2.458, absmax=10.78 +2025-11-04 13:32:16,908 ERROR: Encountered non-finite generator loss at iter 22714; skipping update. +2025-11-04 13:32:16,909 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:16,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:16,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.35, mean=-0.3015, std=2.93, absmax=14.15 +2025-11-04 13:32:16,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.86, mean=-0.2383, std=2.717, absmax=11.89 +2025-11-04 13:32:17,268 ERROR: Encountered non-finite generator loss at iter 22715; skipping update. +2025-11-04 13:32:17,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,270 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,271 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:17,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.3, mean=-0.1493, std=2.782, absmax=12.3 +2025-11-04 13:32:17,272 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=12.07, mean=-0.1302, std=2.667, absmax=12.07 +2025-11-04 13:32:17,629 ERROR: Encountered non-finite generator loss at iter 22716; skipping update. +2025-11-04 13:32:17,630 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,631 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,631 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:17,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=10.06, mean=-0.3243, std=2.672, absmax=11.87 +2025-11-04 13:32:17,632 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=9.62, mean=-0.2925, std=2.517, absmax=10.87 +2025-11-04 13:32:17,989 ERROR: Encountered non-finite generator loss at iter 22717; skipping update. +2025-11-04 13:32:17,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,991 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:17,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:17,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.62, mean=0.04398, std=3.58, absmax=13.78 +2025-11-04 13:32:17,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=12.44, mean=0.02249, std=3.247, absmax=12.66 +2025-11-04 13:32:18,350 ERROR: Encountered non-finite generator loss at iter 22718; skipping update. +2025-11-04 13:32:18,351 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:18,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:18,352 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:18,353 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:18,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.45, mean=0.04123, std=3.332, absmax=13.45 +2025-11-04 13:32:18,354 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.62, mean=0.06174, std=3.095, absmax=12.62 +2025-11-04 13:32:18,710 ERROR: Encountered non-finite generator loss at iter 22719; skipping update. +2025-11-04 13:32:18,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:18,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:18,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:18,712 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:18,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=9.516, mean=-0.3167, std=2.873, absmax=12.45 +2025-11-04 13:32:18,713 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=9.272, mean=-0.3108, std=2.648, absmax=10.89 +2025-11-04 13:32:19,069 ERROR: Encountered non-finite generator loss at iter 22720; skipping update. +2025-11-04 13:32:19,070 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,071 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,071 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:19,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.12, mean=0.07677, std=3.086, absmax=13.12 +2025-11-04 13:32:19,072 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.77, mean=0.07288, std=2.939, absmax=12.77 +2025-11-04 13:32:19,429 ERROR: Encountered non-finite generator loss at iter 22721; skipping update. +2025-11-04 13:32:19,430 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,431 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,431 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:19,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=11.36, mean=-0.253, std=2.544, absmax=13.49 +2025-11-04 13:32:19,433 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=9.377, mean=-0.2095, std=2.4, absmax=11.35 +2025-11-04 13:32:19,788 ERROR: Encountered non-finite generator loss at iter 22722; skipping update. +2025-11-04 13:32:19,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:19,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:19,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.33, mean=-0.2074, std=2.982, absmax=13.23 +2025-11-04 13:32:19,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=11.3, mean=-0.2521, std=2.742, absmax=11.58 +2025-11-04 13:32:20,148 ERROR: Encountered non-finite generator loss at iter 22723; skipping update. +2025-11-04 13:32:20,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,151 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:20,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.88, mean=-0.3838, std=3.269, absmax=13.24 +2025-11-04 13:32:20,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=9.762, mean=-0.3462, std=3.167, absmax=12.47 +2025-11-04 13:32:20,509 ERROR: Encountered non-finite generator loss at iter 22724; skipping update. +2025-11-04 13:32:20,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,511 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:20,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=15.04, mean=-0.07643, std=3.483, absmax=15.04 +2025-11-04 13:32:20,512 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=13.69, mean=-0.08922, std=3.279, absmax=13.69 +2025-11-04 13:32:20,869 ERROR: Encountered non-finite generator loss at iter 22725; skipping update. +2025-11-04 13:32:20,870 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,871 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:20,871 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:20,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.22, mean=-0.1343, std=3.081, absmax=13.43 +2025-11-04 13:32:20,873 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.83, mean=-0.1406, std=2.88, absmax=12.02 +2025-11-04 13:32:21,230 ERROR: Encountered non-finite generator loss at iter 22726; skipping update. +2025-11-04 13:32:21,231 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,231 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:21,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.75, mean=-0.09015, std=3.385, absmax=12.75 +2025-11-04 13:32:21,233 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.97, mean=-0.04978, std=3.177, absmax=11.97 +2025-11-04 13:32:21,588 ERROR: Encountered non-finite generator loss at iter 22727; skipping update. +2025-11-04 13:32:21,589 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,590 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,590 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:21,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=11.54, mean=-0.1055, std=2.54, absmax=11.54 +2025-11-04 13:32:21,592 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.489, max=9.444, mean=-0.08783, std=2.332, absmax=9.489 +2025-11-04 13:32:21,948 ERROR: Encountered non-finite generator loss at iter 22728; skipping update. +2025-11-04 13:32:21,949 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,950 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:21,951 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:21,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.28, mean=-0.2311, std=3.292, absmax=14.28 +2025-11-04 13:32:21,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=12.1, mean=-0.2316, std=3.14, absmax=12.22 +2025-11-04 13:32:22,309 ERROR: Encountered non-finite generator loss at iter 22729; skipping update. +2025-11-04 13:32:22,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:22,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:22,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:22,311 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:22,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.12, mean=-0.09259, std=2.918, absmax=13.12 +2025-11-04 13:32:22,312 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.91, mean=-0.02768, std=2.606, absmax=11.91 +2025-11-04 13:32:22,670 ERROR: Encountered non-finite generator loss at iter 22730; skipping update. +2025-11-04 13:32:22,670 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:22,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:22,671 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:22,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:22,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.29, mean=-0.1156, std=3.436, absmax=14.29 +2025-11-04 13:32:22,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=13.2, mean=-0.1398, std=3.186, absmax=13.2 +2025-11-04 13:32:23,029 ERROR: Encountered non-finite generator loss at iter 22731; skipping update. +2025-11-04 13:32:23,030 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,031 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,031 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:23,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=11.93, mean=-0.2793, std=2.993, absmax=14.68 +2025-11-04 13:32:23,033 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=9.245, mean=-0.2419, std=2.813, absmax=12.05 +2025-11-04 13:32:23,389 ERROR: Encountered non-finite generator loss at iter 22732; skipping update. +2025-11-04 13:32:23,390 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,391 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,391 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:23,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.35, mean=-0.07935, std=2.938, absmax=13.35 +2025-11-04 13:32:23,393 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.1, mean=-0.1337, std=2.805, absmax=12.1 +2025-11-04 13:32:23,749 ERROR: Encountered non-finite generator loss at iter 22733; skipping update. +2025-11-04 13:32:23,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:23,751 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:23,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.74, mean=-0.01587, std=3.178, absmax=12.74 +2025-11-04 13:32:23,752 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.06, mean=0.01366, std=2.946, absmax=12.06 +2025-11-04 13:32:24,109 ERROR: Encountered non-finite generator loss at iter 22734; skipping update. +2025-11-04 13:32:24,110 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,110 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:24,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=12.18, mean=-0.2667, std=2.901, absmax=12.26 +2025-11-04 13:32:24,112 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=11.59, mean=-0.2416, std=2.686, absmax=11.59 +2025-11-04 13:32:24,468 ERROR: Encountered non-finite generator loss at iter 22735; skipping update. +2025-11-04 13:32:24,469 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,470 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:24,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.33, max=12.62, mean=-0.3276, std=3.099, absmax=14.33 +2025-11-04 13:32:24,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=11.49, mean=-0.2831, std=2.938, absmax=12.98 +2025-11-04 13:32:24,828 ERROR: Encountered non-finite generator loss at iter 22736; skipping update. +2025-11-04 13:32:24,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:24,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:24,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=15.94, mean=-0.01998, std=3.664, absmax=15.94 +2025-11-04 13:32:24,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=12.76, mean=-0.007783, std=3.474, absmax=12.76 +2025-11-04 13:32:25,188 ERROR: Encountered non-finite generator loss at iter 22737; skipping update. +2025-11-04 13:32:25,189 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,190 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,191 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:25,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=11.29, mean=-0.2913, std=2.805, absmax=14.2 +2025-11-04 13:32:25,192 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=9.144, mean=-0.2834, std=2.641, absmax=13.06 +2025-11-04 13:32:25,549 ERROR: Encountered non-finite generator loss at iter 22738; skipping update. +2025-11-04 13:32:25,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:25,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=14, mean=-0.1708, std=2.949, absmax=14 +2025-11-04 13:32:25,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.86, mean=-0.211, std=2.707, absmax=11.86 +2025-11-04 13:32:25,910 ERROR: Encountered non-finite generator loss at iter 22739; skipping update. +2025-11-04 13:32:25,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:25,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:25,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.59, mean=-0.1901, std=3.171, absmax=14.59 +2025-11-04 13:32:25,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.35, mean=-0.1716, std=2.889, absmax=12.35 +2025-11-04 13:32:26,271 ERROR: Encountered non-finite generator loss at iter 22740; skipping update. +2025-11-04 13:32:26,272 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:26,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.42, mean=-0.1013, std=2.971, absmax=11.62 +2025-11-04 13:32:26,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.34, mean=-0.08687, std=2.887, absmax=10.99 +2025-11-04 13:32:26,633 ERROR: Encountered non-finite generator loss at iter 22741; skipping update. +2025-11-04 13:32:26,634 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,635 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:26,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=14.41, mean=-0.1014, std=3.357, absmax=14.41 +2025-11-04 13:32:26,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=13.72, mean=-0.08385, std=3.092, absmax=13.72 +2025-11-04 13:32:26,994 ERROR: Encountered non-finite generator loss at iter 22742; skipping update. +2025-11-04 13:32:26,995 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:26,996 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:26,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=11.58, mean=-0.2254, std=2.923, absmax=11.89 +2025-11-04 13:32:26,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=9.593, mean=-0.1795, std=2.693, absmax=11.76 +2025-11-04 13:32:27,355 ERROR: Encountered non-finite generator loss at iter 22743; skipping update. +2025-11-04 13:32:27,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:27,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:27,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:27,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:27,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.08, mean=-0.1578, std=3.136, absmax=13.12 +2025-11-04 13:32:27,358 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=9.742, mean=-0.1699, std=2.926, absmax=12.09 +2025-11-04 13:32:27,716 ERROR: Encountered non-finite generator loss at iter 22744; skipping update. +2025-11-04 13:32:27,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:27,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:27,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:27,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:27,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.96, mean=-0.06511, std=2.68, absmax=13.96 +2025-11-04 13:32:27,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.32, mean=-0.1029, std=2.441, absmax=12.32 +2025-11-04 13:32:28,078 ERROR: Encountered non-finite generator loss at iter 22745; skipping update. +2025-11-04 13:32:28,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:28,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=10.82, mean=-0.1028, std=2.976, absmax=14.47 +2025-11-04 13:32:28,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=11.24, mean=-0.09607, std=2.815, absmax=11.24 +2025-11-04 13:32:28,439 ERROR: Encountered non-finite generator loss at iter 22746; skipping update. +2025-11-04 13:32:28,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:28,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.74, mean=-0.01375, std=3.356, absmax=12.74 +2025-11-04 13:32:28,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=12.17, mean=-0.01765, std=3.267, absmax=12.17 +2025-11-04 13:32:28,801 ERROR: Encountered non-finite generator loss at iter 22747; skipping update. +2025-11-04 13:32:28,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:28,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:28,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=13.08, mean=-0.4299, std=3.763, absmax=14.69 +2025-11-04 13:32:28,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=11.63, mean=-0.4021, std=3.626, absmax=13.61 +2025-11-04 13:32:29,162 ERROR: Encountered non-finite generator loss at iter 22748; skipping update. +2025-11-04 13:32:29,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:29,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=10.28, mean=-0.2288, std=2.878, absmax=12.17 +2025-11-04 13:32:29,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=9.824, mean=-0.2329, std=2.802, absmax=12.78 +2025-11-04 13:32:29,524 ERROR: Encountered non-finite generator loss at iter 22749; skipping update. +2025-11-04 13:32:29,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,527 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:29,527 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.72, max=14.7, mean=-0.09043, std=3.124, absmax=16.72 +2025-11-04 13:32:29,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.85, max=14.75, mean=-0.07385, std=2.951, absmax=14.85 +2025-11-04 13:32:29,885 ERROR: Encountered non-finite generator loss at iter 22750; skipping update. +2025-11-04 13:32:29,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:29,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:29,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.26, mean=-0.2585, std=3.053, absmax=14.26 +2025-11-04 13:32:29,889 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=12.65, mean=-0.2514, std=2.765, absmax=12.65 +2025-11-04 13:32:30,246 ERROR: Encountered non-finite generator loss at iter 22751; skipping update. +2025-11-04 13:32:30,247 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,248 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,248 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:30,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14.9, mean=0.08853, std=3.009, absmax=14.9 +2025-11-04 13:32:30,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=13.26, mean=0.08798, std=2.768, absmax=13.26 +2025-11-04 13:32:30,606 ERROR: Encountered non-finite generator loss at iter 22752; skipping update. +2025-11-04 13:32:30,607 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,608 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,609 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:30,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=15.86, mean=-0.1744, std=2.845, absmax=15.86 +2025-11-04 13:32:30,610 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=10.16, mean=-0.1741, std=2.558, absmax=11.71 +2025-11-04 13:32:30,967 ERROR: Encountered non-finite generator loss at iter 22753; skipping update. +2025-11-04 13:32:30,968 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,969 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:30,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:30,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.24, max=13.33, mean=-0.1688, std=3.304, absmax=17.24 +2025-11-04 13:32:30,971 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.92, max=12.43, mean=-0.194, std=3.119, absmax=13.92 +2025-11-04 13:32:31,328 ERROR: Encountered non-finite generator loss at iter 22754; skipping update. +2025-11-04 13:32:31,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:31,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:31,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:31,330 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:31,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=12.08, mean=-0.1941, std=3.066, absmax=12.79 +2025-11-04 13:32:31,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=12.02, mean=-0.1372, std=2.964, absmax=12.02 +2025-11-04 13:32:31,689 ERROR: Encountered non-finite generator loss at iter 22755; skipping update. +2025-11-04 13:32:31,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:31,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:31,691 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:31,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:31,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.6, mean=-0.1693, std=2.536, absmax=12.38 +2025-11-04 13:32:31,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=11.42, mean=-0.1261, std=2.411, absmax=11.42 +2025-11-04 13:32:32,049 ERROR: Encountered non-finite generator loss at iter 22756; skipping update. +2025-11-04 13:32:32,051 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,052 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,052 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:32,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=13.4, mean=-0.303, std=3.461, absmax=14.16 +2025-11-04 13:32:32,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=12.43, mean=-0.3161, std=3.234, absmax=12.91 +2025-11-04 13:32:32,411 ERROR: Encountered non-finite generator loss at iter 22757; skipping update. +2025-11-04 13:32:32,412 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,413 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,413 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:32,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.79, mean=-0.1751, std=2.6, absmax=12.79 +2025-11-04 13:32:32,414 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.42, mean=-0.1538, std=2.473, absmax=11.42 +2025-11-04 13:32:32,772 ERROR: Encountered non-finite generator loss at iter 22758; skipping update. +2025-11-04 13:32:32,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,773 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:32,774 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:32,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=15.26, mean=-0.1725, std=3.066, absmax=15.26 +2025-11-04 13:32:32,775 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=11.68, mean=-0.1697, std=2.818, absmax=11.68 +2025-11-04 13:32:33,132 ERROR: Encountered non-finite generator loss at iter 22759; skipping update. +2025-11-04 13:32:33,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:33,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.1, mean=-0.1673, std=3.013, absmax=13.1 +2025-11-04 13:32:33,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=11.79, mean=-0.1658, std=2.787, absmax=11.79 +2025-11-04 13:32:33,493 ERROR: Encountered non-finite generator loss at iter 22760; skipping update. +2025-11-04 13:32:33,494 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,495 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:33,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=11.41, mean=-0.1582, std=2.584, absmax=13.66 +2025-11-04 13:32:33,496 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=10.69, mean=-0.2019, std=2.476, absmax=11.82 +2025-11-04 13:32:33,853 ERROR: Encountered non-finite generator loss at iter 22761; skipping update. +2025-11-04 13:32:33,854 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,855 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:33,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:33,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.07, mean=-0.2786, std=2.966, absmax=13.73 +2025-11-04 13:32:33,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=13.11, mean=-0.2495, std=2.734, absmax=13.11 +2025-11-04 13:32:34,214 ERROR: Encountered non-finite generator loss at iter 22762; skipping update. +2025-11-04 13:32:34,215 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,216 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,216 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:34,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.5, mean=-0.2349, std=3.198, absmax=13.5 +2025-11-04 13:32:34,217 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.54, mean=-0.2364, std=2.964, absmax=12.38 +2025-11-04 13:32:34,575 ERROR: Encountered non-finite generator loss at iter 22763; skipping update. +2025-11-04 13:32:34,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,576 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,577 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:34,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=12.86, mean=-0.2013, std=2.421, absmax=12.86 +2025-11-04 13:32:34,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.92, max=9.514, mean=-0.1826, std=2.296, absmax=9.92 +2025-11-04 13:32:34,936 ERROR: Encountered non-finite generator loss at iter 22764; skipping update. +2025-11-04 13:32:34,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:34,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:34,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.92, mean=-0.3, std=2.873, absmax=14.92 +2025-11-04 13:32:34,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=13.82, mean=-0.2648, std=2.859, absmax=13.82 +2025-11-04 13:32:35,297 ERROR: Encountered non-finite generator loss at iter 22765; skipping update. +2025-11-04 13:32:35,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:35,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:35,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:35,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:35,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=15.77, mean=-0.1095, std=2.757, absmax=15.77 +2025-11-04 13:32:35,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.96, max=15.19, mean=-0.08126, std=2.53, absmax=15.19 +2025-11-04 13:32:35,658 ERROR: Encountered non-finite generator loss at iter 22766; skipping update. +2025-11-04 13:32:35,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:35,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:35,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:35,661 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:35,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.96, mean=-0.3168, std=2.826, absmax=12.96 +2025-11-04 13:32:35,662 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.15, mean=-0.2782, std=2.718, absmax=12.15 +2025-11-04 13:32:36,019 ERROR: Encountered non-finite generator loss at iter 22767; skipping update. +2025-11-04 13:32:36,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,021 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:36,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.14, mean=-0.1931, std=3.228, absmax=13.36 +2025-11-04 13:32:36,022 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=10.72, mean=-0.1957, std=3.002, absmax=12.72 +2025-11-04 13:32:36,379 ERROR: Encountered non-finite generator loss at iter 22768; skipping update. +2025-11-04 13:32:36,379 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,380 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,380 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:36,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=14.28, mean=0.1232, std=3.016, absmax=14.28 +2025-11-04 13:32:36,381 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=12.87, mean=0.08626, std=2.887, absmax=12.87 +2025-11-04 13:32:36,738 ERROR: Encountered non-finite generator loss at iter 22769; skipping update. +2025-11-04 13:32:36,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:36,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:36,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.98, mean=-0.1562, std=3.145, absmax=13.98 +2025-11-04 13:32:36,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=12.15, mean=-0.1528, std=2.868, absmax=13.37 +2025-11-04 13:32:37,100 ERROR: Encountered non-finite generator loss at iter 22770; skipping update. +2025-11-04 13:32:37,101 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,102 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,102 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:37,103 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.33, mean=-0.1703, std=3.119, absmax=12.87 +2025-11-04 13:32:37,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=11.71, mean=-0.1372, std=2.981, absmax=12.01 +2025-11-04 13:32:37,461 ERROR: Encountered non-finite generator loss at iter 22771; skipping update. +2025-11-04 13:32:37,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:37,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.42, mean=-0.0702, std=3.172, absmax=13.91 +2025-11-04 13:32:37,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.99, mean=-0.06694, std=2.859, absmax=10.99 +2025-11-04 13:32:37,822 ERROR: Encountered non-finite generator loss at iter 22772; skipping update. +2025-11-04 13:32:37,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:37,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:37,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.62, mean=-0.2236, std=2.715, absmax=13.33 +2025-11-04 13:32:37,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=9.98, mean=-0.1745, std=2.581, absmax=10.99 +2025-11-04 13:32:38,183 ERROR: Encountered non-finite generator loss at iter 22773; skipping update. +2025-11-04 13:32:38,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:38,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.2, mean=-0.2228, std=2.663, absmax=11.95 +2025-11-04 13:32:38,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.08, mean=-0.1981, std=2.535, absmax=11.65 +2025-11-04 13:32:38,544 ERROR: Encountered non-finite generator loss at iter 22774; skipping update. +2025-11-04 13:32:38,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:38,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=12.52, mean=-0.1852, std=2.865, absmax=12.52 +2025-11-04 13:32:38,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=9.52, mean=-0.1721, std=2.557, absmax=10.69 +2025-11-04 13:32:38,905 ERROR: Encountered non-finite generator loss at iter 22775; skipping update. +2025-11-04 13:32:38,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:38,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:38,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=13.11, mean=-0.2674, std=2.387, absmax=13.11 +2025-11-04 13:32:38,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=10.3, mean=-0.2961, std=2.275, absmax=10.3 +2025-11-04 13:32:39,265 ERROR: Encountered non-finite generator loss at iter 22776; skipping update. +2025-11-04 13:32:39,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:39,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.14, mean=-0.09201, std=2.901, absmax=14.14 +2025-11-04 13:32:39,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.44, mean=-0.08523, std=2.738, absmax=11.44 +2025-11-04 13:32:39,626 ERROR: Encountered non-finite generator loss at iter 22777; skipping update. +2025-11-04 13:32:39,627 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,628 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:39,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=11.76, mean=-0.1017, std=2.903, absmax=11.76 +2025-11-04 13:32:39,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=11.63, mean=-0.132, std=2.744, absmax=11.63 +2025-11-04 13:32:39,986 ERROR: Encountered non-finite generator loss at iter 22778; skipping update. +2025-11-04 13:32:39,987 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,988 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:39,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:39,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.65, max=11.9, mean=-0.04048, std=2.621, absmax=15.65 +2025-11-04 13:32:39,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=9.84, mean=-0.06248, std=2.518, absmax=13.58 +2025-11-04 13:32:40,346 ERROR: Encountered non-finite generator loss at iter 22779; skipping update. +2025-11-04 13:32:40,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:40,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:40,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:40,349 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:40,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14, mean=-0.1702, std=3.505, absmax=14 +2025-11-04 13:32:40,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=12.55, mean=-0.1384, std=3.271, absmax=12.55 +2025-11-04 13:32:40,706 ERROR: Encountered non-finite generator loss at iter 22780; skipping update. +2025-11-04 13:32:40,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:40,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:40,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:40,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:40,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.95, mean=-0.2793, std=2.792, absmax=12.95 +2025-11-04 13:32:40,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=11.84, mean=-0.2719, std=2.591, absmax=11.84 +2025-11-04 13:32:41,066 ERROR: Encountered non-finite generator loss at iter 22781; skipping update. +2025-11-04 13:32:41,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:41,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=16.74, mean=-0.00755, std=3.205, absmax=16.74 +2025-11-04 13:32:41,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=13.85, mean=-0.02362, std=2.924, absmax=13.85 +2025-11-04 13:32:41,426 ERROR: Encountered non-finite generator loss at iter 22782; skipping update. +2025-11-04 13:32:41,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:41,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.8, mean=-0.2684, std=2.5, absmax=13.11 +2025-11-04 13:32:41,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=9.12, mean=-0.266, std=2.42, absmax=12.2 +2025-11-04 13:32:41,786 ERROR: Encountered non-finite generator loss at iter 22783; skipping update. +2025-11-04 13:32:41,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:41,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:41,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=11.6, mean=-0.2045, std=2.657, absmax=11.6 +2025-11-04 13:32:41,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=10.38, mean=-0.2166, std=2.373, absmax=10.69 +2025-11-04 13:32:42,148 ERROR: Encountered non-finite generator loss at iter 22784; skipping update. +2025-11-04 13:32:42,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:42,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=11.54, mean=-0.4026, std=3.164, absmax=13.68 +2025-11-04 13:32:42,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=9.018, mean=-0.3559, std=2.903, absmax=12.46 +2025-11-04 13:32:42,508 ERROR: Encountered non-finite generator loss at iter 22785; skipping update. +2025-11-04 13:32:42,509 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,510 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,510 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:42,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.72, mean=-0.2323, std=3.164, absmax=13.72 +2025-11-04 13:32:42,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=11.75, mean=-0.2148, std=3.002, absmax=12.63 +2025-11-04 13:32:42,867 ERROR: Encountered non-finite generator loss at iter 22786; skipping update. +2025-11-04 13:32:42,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:42,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:42,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=11.09, mean=-0.296, std=2.564, absmax=13.42 +2025-11-04 13:32:42,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=9.38, mean=-0.3066, std=2.476, absmax=12.39 +2025-11-04 13:32:43,227 ERROR: Encountered non-finite generator loss at iter 22787; skipping update. +2025-11-04 13:32:43,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:43,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=10.84, mean=-0.2255, std=2.95, absmax=13.13 +2025-11-04 13:32:43,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=9.958, mean=-0.2051, std=2.726, absmax=11.81 +2025-11-04 13:32:43,586 ERROR: Encountered non-finite generator loss at iter 22788; skipping update. +2025-11-04 13:32:43,587 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,588 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:43,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.28, mean=-0.09136, std=3.796, absmax=14.28 +2025-11-04 13:32:43,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=13.16, mean=-0.04633, std=3.425, absmax=13.16 +2025-11-04 13:32:43,946 ERROR: Encountered non-finite generator loss at iter 22789; skipping update. +2025-11-04 13:32:43,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:43,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:43,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.9, mean=-0.01697, std=2.836, absmax=13.9 +2025-11-04 13:32:43,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=13.15, mean=-0.01179, std=2.641, absmax=13.15 +2025-11-04 13:32:44,306 ERROR: Encountered non-finite generator loss at iter 22790; skipping update. +2025-11-04 13:32:44,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:44,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:44,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:44,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:44,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=15.93, mean=-0.08278, std=2.808, absmax=15.93 +2025-11-04 13:32:44,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.97, mean=-0.07934, std=2.524, absmax=12.97 +2025-11-04 13:32:44,666 ERROR: Encountered non-finite generator loss at iter 22791; skipping update. +2025-11-04 13:32:44,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:44,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:44,668 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:44,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:44,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=12.89, mean=-0.2093, std=2.803, absmax=14.31 +2025-11-04 13:32:44,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=9.692, mean=-0.198, std=2.611, absmax=13.49 +2025-11-04 13:32:45,026 ERROR: Encountered non-finite generator loss at iter 22792; skipping update. +2025-11-04 13:32:45,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:45,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=16.44, mean=-0.0719, std=2.913, absmax=16.44 +2025-11-04 13:32:45,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=14.17, mean=-0.07195, std=2.698, absmax=14.17 +2025-11-04 13:32:45,385 ERROR: Encountered non-finite generator loss at iter 22793; skipping update. +2025-11-04 13:32:45,386 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,387 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:45,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.74, max=12.23, mean=-0.3354, std=3.094, absmax=15.74 +2025-11-04 13:32:45,388 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.12, max=11.17, mean=-0.2892, std=2.888, absmax=14.12 +2025-11-04 13:32:45,745 ERROR: Encountered non-finite generator loss at iter 22794; skipping update. +2025-11-04 13:32:45,746 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:45,747 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:45,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.37, mean=-0.3102, std=2.955, absmax=13.7 +2025-11-04 13:32:45,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=10.25, mean=-0.3135, std=2.807, absmax=12.36 +2025-11-04 13:32:46,105 ERROR: Encountered non-finite generator loss at iter 22795; skipping update. +2025-11-04 13:32:46,106 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,107 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:46,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.11, mean=-0.07526, std=3.479, absmax=14.11 +2025-11-04 13:32:46,108 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.03, mean=-0.06794, std=3.165, absmax=12.03 +2025-11-04 13:32:46,465 ERROR: Encountered non-finite generator loss at iter 22796; skipping update. +2025-11-04 13:32:46,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:46,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.93, mean=-0.1133, std=2.697, absmax=12.93 +2025-11-04 13:32:46,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.12, mean=-0.1283, std=2.528, absmax=11.12 +2025-11-04 13:32:46,826 ERROR: Encountered non-finite generator loss at iter 22797; skipping update. +2025-11-04 13:32:46,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:46,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:46,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.23, mean=-0.136, std=2.911, absmax=12.41 +2025-11-04 13:32:46,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=10.97, mean=-0.07603, std=2.733, absmax=10.97 +2025-11-04 13:32:47,186 ERROR: Encountered non-finite generator loss at iter 22798; skipping update. +2025-11-04 13:32:47,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,188 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:47,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=16.78, mean=-0.0372, std=2.724, absmax=16.78 +2025-11-04 13:32:47,190 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=12.93, mean=-0.06095, std=2.463, absmax=12.93 +2025-11-04 13:32:47,546 ERROR: Encountered non-finite generator loss at iter 22799; skipping update. +2025-11-04 13:32:47,547 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,548 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:47,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.46, mean=-0.1699, std=2.924, absmax=11.81 +2025-11-04 13:32:47,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.94, mean=-0.1499, std=2.699, absmax=12.42 +2025-11-04 13:32:47,906 ERROR: Encountered non-finite generator loss at iter 22800; skipping update. +2025-11-04 13:32:47,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:47,908 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:47,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.81, max=15.32, mean=0.1249, std=3.618, absmax=15.81 +2025-11-04 13:32:47,910 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=13.99, mean=0.1317, std=3.29, absmax=13.99 +2025-11-04 13:32:47,910 INFO: [38..][epoch: 0, step: 22,800, lr:(2.000e-04,)] [eta: 1 day, 5:24:03, time (data): 0.360 (0.000)] +2025-11-04 13:32:48,266 ERROR: Encountered non-finite generator loss at iter 22801; skipping update. +2025-11-04 13:32:48,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,268 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:48,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.35, mean=-0.3491, std=2.688, absmax=12.35 +2025-11-04 13:32:48,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=12.09, mean=-0.3259, std=2.546, absmax=12.09 +2025-11-04 13:32:48,626 ERROR: Encountered non-finite generator loss at iter 22802; skipping update. +2025-11-04 13:32:48,627 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,628 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:48,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=16.21, mean=0.01075, std=3.425, absmax=16.21 +2025-11-04 13:32:48,630 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=13.88, mean=-0.001045, std=3.245, absmax=13.88 +2025-11-04 13:32:48,986 ERROR: Encountered non-finite generator loss at iter 22803; skipping update. +2025-11-04 13:32:48,987 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,988 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:48,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:48,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=14.26, mean=-0.09476, std=3.34, absmax=14.51 +2025-11-04 13:32:48,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=13, mean=-0.1387, std=3.207, absmax=13.19 +2025-11-04 13:32:49,346 ERROR: Encountered non-finite generator loss at iter 22804; skipping update. +2025-11-04 13:32:49,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:49,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:49,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:49,349 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:49,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=13.01, mean=-0.02741, std=2.487, absmax=13.01 +2025-11-04 13:32:49,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=12.25, mean=-0.01848, std=2.327, absmax=12.25 +2025-11-04 13:32:49,706 ERROR: Encountered non-finite generator loss at iter 22805; skipping update. +2025-11-04 13:32:49,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:49,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:49,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:49,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:49,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=17.62, mean=-0.004613, std=2.805, absmax=17.62 +2025-11-04 13:32:49,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=14.21, mean=-0.004747, std=2.548, absmax=14.21 +2025-11-04 13:32:50,066 ERROR: Encountered non-finite generator loss at iter 22806; skipping update. +2025-11-04 13:32:50,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:50,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.5, mean=-0.1792, std=2.642, absmax=12.5 +2025-11-04 13:32:50,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=11.17, mean=-0.1226, std=2.511, absmax=11.27 +2025-11-04 13:32:50,426 ERROR: Encountered non-finite generator loss at iter 22807; skipping update. +2025-11-04 13:32:50,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,428 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:50,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=12.47, mean=-0.1425, std=3.23, absmax=13.63 +2025-11-04 13:32:50,429 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=10.93, mean=-0.1331, std=3.18, absmax=13.58 +2025-11-04 13:32:50,786 ERROR: Encountered non-finite generator loss at iter 22808; skipping update. +2025-11-04 13:32:50,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:50,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:50,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=10.42, mean=-0.3024, std=3.023, absmax=12.54 +2025-11-04 13:32:50,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.401, mean=-0.2768, std=2.876, absmax=11.27 +2025-11-04 13:32:51,147 ERROR: Encountered non-finite generator loss at iter 22809; skipping update. +2025-11-04 13:32:51,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,149 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:51,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.11, mean=-0.2979, std=2.486, absmax=12.71 +2025-11-04 13:32:51,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.32, mean=-0.255, std=2.471, absmax=11.56 +2025-11-04 13:32:51,507 ERROR: Encountered non-finite generator loss at iter 22810; skipping update. +2025-11-04 13:32:51,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:51,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=15.24, mean=0.01376, std=3.572, absmax=15.24 +2025-11-04 13:32:51,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.81, mean=0.03382, std=3.406, absmax=12.81 +2025-11-04 13:32:51,866 ERROR: Encountered non-finite generator loss at iter 22811; skipping update. +2025-11-04 13:32:51,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:51,868 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:51,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=13.34, mean=-0.2175, std=2.64, absmax=14.09 +2025-11-04 13:32:51,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.12, mean=-0.2308, std=2.435, absmax=12.36 +2025-11-04 13:32:52,227 ERROR: Encountered non-finite generator loss at iter 22812; skipping update. +2025-11-04 13:32:52,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,228 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:52,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.02, mean=-0.09697, std=2.806, absmax=12.02 +2025-11-04 13:32:52,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=11.15, mean=-0.05335, std=2.672, absmax=11.15 +2025-11-04 13:32:52,586 ERROR: Encountered non-finite generator loss at iter 22813; skipping update. +2025-11-04 13:32:52,587 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:52,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=12.67, mean=-0.1885, std=3.007, absmax=14.85 +2025-11-04 13:32:52,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=11.66, mean=-0.1543, std=2.746, absmax=11.66 +2025-11-04 13:32:52,947 ERROR: Encountered non-finite generator loss at iter 22814; skipping update. +2025-11-04 13:32:52,948 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,949 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:52,949 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:52,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.07, mean=-0.358, std=3.078, absmax=12.84 +2025-11-04 13:32:52,950 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=9.397, mean=-0.3209, std=2.899, absmax=12.14 +2025-11-04 13:32:53,307 ERROR: Encountered non-finite generator loss at iter 22815; skipping update. +2025-11-04 13:32:53,308 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:53,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:53,309 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:53,309 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:53,310 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.53, mean=-0.1791, std=2.532, absmax=12.53 +2025-11-04 13:32:53,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=9.861, mean=-0.1908, std=2.365, absmax=11.05 +2025-11-04 13:32:53,668 ERROR: Encountered non-finite generator loss at iter 22816; skipping update. +2025-11-04 13:32:53,669 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:53,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:53,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:53,670 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:53,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.7, mean=-0.1415, std=3.158, absmax=13.7 +2025-11-04 13:32:53,671 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=11.99, mean=-0.1423, std=2.931, absmax=12.27 +2025-11-04 13:32:54,028 ERROR: Encountered non-finite generator loss at iter 22817; skipping update. +2025-11-04 13:32:54,029 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,030 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,030 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:54,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.72, mean=-0.1987, std=3.075, absmax=12.89 +2025-11-04 13:32:54,032 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=11.7, mean=-0.1745, std=2.791, absmax=11.99 +2025-11-04 13:32:54,388 ERROR: Encountered non-finite generator loss at iter 22818; skipping update. +2025-11-04 13:32:54,389 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,390 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,390 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:54,391 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=10.93, mean=-0.2175, std=2.481, absmax=11.26 +2025-11-04 13:32:54,392 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.535, max=9.751, mean=-0.2128, std=2.43, absmax=9.751 +2025-11-04 13:32:54,749 ERROR: Encountered non-finite generator loss at iter 22819; skipping update. +2025-11-04 13:32:54,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:54,751 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:54,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.22, mean=-0.08675, std=2.938, absmax=12.22 +2025-11-04 13:32:54,752 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.48, mean=-0.1181, std=2.86, absmax=11.31 +2025-11-04 13:32:55,109 ERROR: Encountered non-finite generator loss at iter 22820; skipping update. +2025-11-04 13:32:55,110 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,111 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:55,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=15.65, mean=-0.155, std=3.029, absmax=15.65 +2025-11-04 13:32:55,113 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=12.78, mean=-0.172, std=2.884, absmax=12.78 +2025-11-04 13:32:55,471 ERROR: Encountered non-finite generator loss at iter 22821; skipping update. +2025-11-04 13:32:55,472 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,473 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,473 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:55,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.08, mean=-0.1885, std=2.844, absmax=14.08 +2025-11-04 13:32:55,474 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=11.63, mean=-0.2103, std=2.612, absmax=11.63 +2025-11-04 13:32:55,832 ERROR: Encountered non-finite generator loss at iter 22822; skipping update. +2025-11-04 13:32:55,832 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,833 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:55,834 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:55,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.4, mean=-0.1062, std=2.627, absmax=12.79 +2025-11-04 13:32:55,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=10.27, mean=-0.0969, std=2.407, absmax=11.21 +2025-11-04 13:32:56,192 ERROR: Encountered non-finite generator loss at iter 22823; skipping update. +2025-11-04 13:32:56,192 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,193 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:56,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.25, mean=0.09131, std=3.325, absmax=12.43 +2025-11-04 13:32:56,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=11.61, mean=0.09173, std=3.099, absmax=11.61 +2025-11-04 13:32:56,552 ERROR: Encountered non-finite generator loss at iter 22824; skipping update. +2025-11-04 13:32:56,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,554 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:56,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.66, mean=-0.1886, std=3.061, absmax=12.66 +2025-11-04 13:32:56,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.32, mean=-0.1625, std=2.822, absmax=11.32 +2025-11-04 13:32:56,912 ERROR: Encountered non-finite generator loss at iter 22825; skipping update. +2025-11-04 13:32:56,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:56,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:56,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=10.64, mean=-0.2596, std=2.688, absmax=14.11 +2025-11-04 13:32:56,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=9.839, mean=-0.3106, std=2.572, absmax=11.71 +2025-11-04 13:32:57,273 ERROR: Encountered non-finite generator loss at iter 22826; skipping update. +2025-11-04 13:32:57,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,276 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:57,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.71, mean=-0.1745, std=2.979, absmax=14.32 +2025-11-04 13:32:57,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=10.13, mean=-0.1808, std=2.791, absmax=11.75 +2025-11-04 13:32:57,634 ERROR: Encountered non-finite generator loss at iter 22827; skipping update. +2025-11-04 13:32:57,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:57,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.32, mean=-0.3836, std=3.596, absmax=14.04 +2025-11-04 13:32:57,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=10.28, mean=-0.3425, std=3.312, absmax=13.19 +2025-11-04 13:32:57,995 ERROR: Encountered non-finite generator loss at iter 22828; skipping update. +2025-11-04 13:32:57,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:57,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:57,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=14.9, mean=0.02106, std=3.729, absmax=14.9 +2025-11-04 13:32:57,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=14.8, mean=0.03426, std=3.551, absmax=14.8 +2025-11-04 13:32:58,355 ERROR: Encountered non-finite generator loss at iter 22829; skipping update. +2025-11-04 13:32:58,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:58,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:58,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:58,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:58,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.85, mean=-0.2361, std=2.833, absmax=12.85 +2025-11-04 13:32:58,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=9.356, mean=-0.274, std=2.59, absmax=11.14 +2025-11-04 13:32:58,716 ERROR: Encountered non-finite generator loss at iter 22830; skipping update. +2025-11-04 13:32:58,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:58,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:58,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:58,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:58,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.06, mean=-0.1595, std=2.498, absmax=12.08 +2025-11-04 13:32:58,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=10.96, mean=-0.1214, std=2.41, absmax=10.96 +2025-11-04 13:32:59,077 ERROR: Encountered non-finite generator loss at iter 22831; skipping update. +2025-11-04 13:32:59,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:59,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.5, max=11.47, mean=-0.2819, std=2.79, absmax=16.5 +2025-11-04 13:32:59,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=10.32, mean=-0.2348, std=2.615, absmax=12.4 +2025-11-04 13:32:59,438 ERROR: Encountered non-finite generator loss at iter 22832; skipping update. +2025-11-04 13:32:59,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:59,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=13.92, mean=-0.1293, std=2.71, absmax=13.92 +2025-11-04 13:32:59,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=11.71, mean=-0.1217, std=2.595, absmax=11.71 +2025-11-04 13:32:59,798 ERROR: Encountered non-finite generator loss at iter 22833; skipping update. +2025-11-04 13:32:59,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:32:59,801 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:32:59,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.41, mean=-0.2101, std=2.855, absmax=14.41 +2025-11-04 13:32:59,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=12.79, mean=-0.1879, std=2.567, absmax=12.79 +2025-11-04 13:33:00,159 ERROR: Encountered non-finite generator loss at iter 22834; skipping update. +2025-11-04 13:33:00,160 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,161 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:00,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.61, mean=-0.01293, std=2.674, absmax=13.61 +2025-11-04 13:33:00,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.69, mean=-0.03489, std=2.424, absmax=11.69 +2025-11-04 13:33:00,520 ERROR: Encountered non-finite generator loss at iter 22835; skipping update. +2025-11-04 13:33:00,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:00,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.35, mean=-0.3189, std=2.556, absmax=11.61 +2025-11-04 13:33:00,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=9.669, mean=-0.2939, std=2.512, absmax=11.19 +2025-11-04 13:33:00,880 ERROR: Encountered non-finite generator loss at iter 22836; skipping update. +2025-11-04 13:33:00,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,882 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:00,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:00,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.41, mean=-0.3051, std=3.125, absmax=12.97 +2025-11-04 13:33:00,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.7, mean=-0.2597, std=2.88, absmax=10.7 +2025-11-04 13:33:01,241 ERROR: Encountered non-finite generator loss at iter 22837; skipping update. +2025-11-04 13:33:01,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:01,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.43, mean=-0.01902, std=3.259, absmax=13.43 +2025-11-04 13:33:01,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=12.24, mean=-0.01016, std=2.991, absmax=13.09 +2025-11-04 13:33:01,602 ERROR: Encountered non-finite generator loss at iter 22838; skipping update. +2025-11-04 13:33:01,603 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,604 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:01,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.8, mean=-0.281, std=3.339, absmax=14.06 +2025-11-04 13:33:01,605 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.06, mean=-0.2614, std=3.197, absmax=11.89 +2025-11-04 13:33:01,963 ERROR: Encountered non-finite generator loss at iter 22839; skipping update. +2025-11-04 13:33:01,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:01,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:01,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=12.52, mean=-0.2742, std=3.514, absmax=14.81 +2025-11-04 13:33:01,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=11.61, mean=-0.2094, std=3.427, absmax=12.7 +2025-11-04 13:33:02,324 ERROR: Encountered non-finite generator loss at iter 22840; skipping update. +2025-11-04 13:33:02,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:02,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:02,326 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:02,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:02,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.17, mean=-0.047, std=3.494, absmax=13.17 +2025-11-04 13:33:02,327 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.87, mean=-0.07644, std=3.155, absmax=12.37 +2025-11-04 13:33:02,685 ERROR: Encountered non-finite generator loss at iter 22841; skipping update. +2025-11-04 13:33:02,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:02,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:02,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:02,688 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:02,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=11.93, mean=-0.1975, std=3.459, absmax=14.67 +2025-11-04 13:33:02,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.51, max=10.57, mean=-0.1996, std=3.321, absmax=14.51 +2025-11-04 13:33:03,046 ERROR: Encountered non-finite generator loss at iter 22842; skipping update. +2025-11-04 13:33:03,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,048 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,048 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:03,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.73, mean=-0.3189, std=2.93, absmax=13.14 +2025-11-04 13:33:03,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=11.52, mean=-0.2852, std=2.766, absmax=11.71 +2025-11-04 13:33:03,407 ERROR: Encountered non-finite generator loss at iter 22843; skipping update. +2025-11-04 13:33:03,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,410 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:03,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12, mean=-0.1543, std=2.371, absmax=12.82 +2025-11-04 13:33:03,411 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=9.6, mean=-0.139, std=2.207, absmax=10.87 +2025-11-04 13:33:03,767 ERROR: Encountered non-finite generator loss at iter 22844; skipping update. +2025-11-04 13:33:03,769 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,770 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:03,770 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:03,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.03, mean=-0.3487, std=2.916, absmax=13.03 +2025-11-04 13:33:03,771 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=9.162, mean=-0.3718, std=2.778, absmax=11.32 +2025-11-04 13:33:04,128 ERROR: Encountered non-finite generator loss at iter 22845; skipping update. +2025-11-04 13:33:04,129 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,130 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,130 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:04,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.47, mean=-0.235, std=2.73, absmax=13.47 +2025-11-04 13:33:04,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.691, max=10.29, mean=-0.1895, std=2.486, absmax=10.29 +2025-11-04 13:33:04,489 ERROR: Encountered non-finite generator loss at iter 22846; skipping update. +2025-11-04 13:33:04,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,491 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:04,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=11.95, mean=-0.252, std=2.573, absmax=11.95 +2025-11-04 13:33:04,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=9.607, mean=-0.213, std=2.375, absmax=10.25 +2025-11-04 13:33:04,849 ERROR: Encountered non-finite generator loss at iter 22847; skipping update. +2025-11-04 13:33:04,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:04,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:04,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.79, mean=-0.2956, std=2.823, absmax=13.79 +2025-11-04 13:33:04,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=10.49, mean=-0.2578, std=2.578, absmax=10.95 +2025-11-04 13:33:05,209 ERROR: Encountered non-finite generator loss at iter 22848; skipping update. +2025-11-04 13:33:05,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:05,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=13.92, mean=0.02242, std=3.288, absmax=13.92 +2025-11-04 13:33:05,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=13.22, mean=0.05297, std=2.982, absmax=13.22 +2025-11-04 13:33:05,568 ERROR: Encountered non-finite generator loss at iter 22849; skipping update. +2025-11-04 13:33:05,570 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:05,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.25, mean=-0.3744, std=3.005, absmax=12.96 +2025-11-04 13:33:05,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=9.535, mean=-0.3462, std=2.824, absmax=12.62 +2025-11-04 13:33:05,929 ERROR: Encountered non-finite generator loss at iter 22850; skipping update. +2025-11-04 13:33:05,930 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,931 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:05,931 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:05,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=14.74, mean=-0.06798, std=3.059, absmax=14.74 +2025-11-04 13:33:05,932 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.21, mean=-0.1043, std=2.846, absmax=10.71 +2025-11-04 13:33:06,289 ERROR: Encountered non-finite generator loss at iter 22851; skipping update. +2025-11-04 13:33:06,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:06,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:06,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:06,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:06,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=12.6, mean=-0.0967, std=3.138, absmax=13.08 +2025-11-04 13:33:06,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=14.19, mean=-0.08375, std=2.926, absmax=14.19 +2025-11-04 13:33:06,649 ERROR: Encountered non-finite generator loss at iter 22852; skipping update. +2025-11-04 13:33:06,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:06,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:06,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:06,652 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:06,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.95, mean=-0.1765, std=2.984, absmax=13.06 +2025-11-04 13:33:06,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=10.81, mean=-0.2127, std=2.797, absmax=11.92 +2025-11-04 13:33:07,009 ERROR: Encountered non-finite generator loss at iter 22853; skipping update. +2025-11-04 13:33:07,010 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,011 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,011 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:07,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.69, mean=-0.09968, std=3.187, absmax=12.95 +2025-11-04 13:33:07,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.18, mean=-0.1117, std=2.954, absmax=11.18 +2025-11-04 13:33:07,370 ERROR: Encountered non-finite generator loss at iter 22854; skipping update. +2025-11-04 13:33:07,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,371 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:07,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.89, mean=-0.0832, std=2.987, absmax=14.89 +2025-11-04 13:33:07,373 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=13.46, mean=-0.07806, std=2.726, absmax=13.46 +2025-11-04 13:33:07,730 ERROR: Encountered non-finite generator loss at iter 22855; skipping update. +2025-11-04 13:33:07,731 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:07,732 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:07,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=14.65, mean=-0.1315, std=3.109, absmax=14.65 +2025-11-04 13:33:07,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=12.66, mean=-0.1331, std=2.867, absmax=12.66 +2025-11-04 13:33:08,090 ERROR: Encountered non-finite generator loss at iter 22856; skipping update. +2025-11-04 13:33:08,091 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,092 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,092 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:08,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=10.82, mean=-0.251, std=2.991, absmax=12.71 +2025-11-04 13:33:08,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=9.885, mean=-0.2403, std=2.788, absmax=12.61 +2025-11-04 13:33:08,451 ERROR: Encountered non-finite generator loss at iter 22857; skipping update. +2025-11-04 13:33:08,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:08,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.49, max=19.34, mean=-0.219, std=3.007, absmax=19.34 +2025-11-04 13:33:08,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.75, max=16.61, mean=-0.1833, std=2.814, absmax=16.61 +2025-11-04 13:33:08,811 ERROR: Encountered non-finite generator loss at iter 22858; skipping update. +2025-11-04 13:33:08,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:08,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:08,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=11.67, mean=-0.2916, std=3.296, absmax=14.32 +2025-11-04 13:33:08,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=10.12, mean=-0.2659, std=3.088, absmax=12.95 +2025-11-04 13:33:09,170 ERROR: Encountered non-finite generator loss at iter 22859; skipping update. +2025-11-04 13:33:09,171 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,172 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,172 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:09,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=14.97, mean=0.04804, std=3.861, absmax=14.97 +2025-11-04 13:33:09,174 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=14.06, mean=0.02908, std=3.507, absmax=14.06 +2025-11-04 13:33:09,531 ERROR: Encountered non-finite generator loss at iter 22860; skipping update. +2025-11-04 13:33:09,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:09,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.04, mean=-0.07291, std=3.103, absmax=12.68 +2025-11-04 13:33:09,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=13.42, mean=-0.09423, std=3.002, absmax=13.42 +2025-11-04 13:33:09,891 ERROR: Encountered non-finite generator loss at iter 22861; skipping update. +2025-11-04 13:33:09,892 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,893 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:09,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:09,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.63, mean=-0.03907, std=2.785, absmax=13.63 +2025-11-04 13:33:09,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=13.21, mean=-0.05791, std=2.645, absmax=13.21 +2025-11-04 13:33:10,252 ERROR: Encountered non-finite generator loss at iter 22862; skipping update. +2025-11-04 13:33:10,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:10,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=17.41, mean=-0.2565, std=3.094, absmax=17.41 +2025-11-04 13:33:10,255 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=14.06, mean=-0.2239, std=2.84, absmax=14.06 +2025-11-04 13:33:10,613 ERROR: Encountered non-finite generator loss at iter 22863; skipping update. +2025-11-04 13:33:10,614 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,615 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,615 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:10,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=11.71, mean=-0.05006, std=2.832, absmax=15.15 +2025-11-04 13:33:10,617 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=9.809, mean=-0.07344, std=2.573, absmax=13.3 +2025-11-04 13:33:10,974 ERROR: Encountered non-finite generator loss at iter 22864; skipping update. +2025-11-04 13:33:10,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:10,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:10,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.48, mean=-0.186, std=2.721, absmax=12.82 +2025-11-04 13:33:10,977 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=9.892, mean=-0.1555, std=2.51, absmax=11 +2025-11-04 13:33:11,334 ERROR: Encountered non-finite generator loss at iter 22865; skipping update. +2025-11-04 13:33:11,335 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:11,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:11,336 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:11,337 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:11,337 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=11.12, mean=-0.02733, std=2.656, absmax=11.21 +2025-11-04 13:33:11,338 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=11.59, mean=0.0006227, std=2.562, absmax=11.59 +2025-11-04 13:33:11,694 ERROR: Encountered non-finite generator loss at iter 22866; skipping update. +2025-11-04 13:33:11,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:11,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:11,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:11,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:11,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-9.979, max=10.28, mean=-0.3485, std=2.359, absmax=10.28 +2025-11-04 13:33:11,698 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=8.861, mean=-0.3513, std=2.339, absmax=10.2 +2025-11-04 13:33:12,054 ERROR: Encountered non-finite generator loss at iter 22867; skipping update. +2025-11-04 13:33:12,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,057 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:12,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=13.27, mean=-0.1168, std=3.176, absmax=13.27 +2025-11-04 13:33:12,058 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=11.7, mean=-0.09759, std=2.885, absmax=11.7 +2025-11-04 13:33:12,415 ERROR: Encountered non-finite generator loss at iter 22868; skipping update. +2025-11-04 13:33:12,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:12,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.82, mean=-0.3063, std=3.321, absmax=13.82 +2025-11-04 13:33:12,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=12.58, mean=-0.2391, std=3.095, absmax=12.58 +2025-11-04 13:33:12,775 ERROR: Encountered non-finite generator loss at iter 22869; skipping update. +2025-11-04 13:33:12,776 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:12,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:12,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=15.68, mean=-0.1036, std=3.323, absmax=15.68 +2025-11-04 13:33:12,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=15.47, mean=-0.08023, std=3.098, absmax=15.47 +2025-11-04 13:33:13,136 ERROR: Encountered non-finite generator loss at iter 22870; skipping update. +2025-11-04 13:33:13,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:13,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=11.61, mean=-0.2261, std=3.074, absmax=12.07 +2025-11-04 13:33:13,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=10.69, mean=-0.2198, std=2.932, absmax=11.22 +2025-11-04 13:33:13,497 ERROR: Encountered non-finite generator loss at iter 22871; skipping update. +2025-11-04 13:33:13,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:13,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.19, mean=-0.1325, std=2.728, absmax=13.54 +2025-11-04 13:33:13,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=11.21, mean=-0.1307, std=2.506, absmax=12.15 +2025-11-04 13:33:13,856 ERROR: Encountered non-finite generator loss at iter 22872; skipping update. +2025-11-04 13:33:13,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:13,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:13,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=11.93, mean=-0.2489, std=3.685, absmax=15.4 +2025-11-04 13:33:13,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.02, max=12.12, mean=-0.2102, std=3.373, absmax=15.02 +2025-11-04 13:33:14,216 ERROR: Encountered non-finite generator loss at iter 22873; skipping update. +2025-11-04 13:33:14,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:14,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=15.95, mean=-0.1375, std=2.969, absmax=15.95 +2025-11-04 13:33:14,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=15.07, mean=-0.1596, std=2.728, absmax=15.07 +2025-11-04 13:33:14,577 ERROR: Encountered non-finite generator loss at iter 22874; skipping update. +2025-11-04 13:33:14,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,579 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:14,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=14.22, mean=-0.0798, std=3.038, absmax=14.58 +2025-11-04 13:33:14,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=12.65, mean=-0.07642, std=2.85, absmax=12.65 +2025-11-04 13:33:14,936 ERROR: Encountered non-finite generator loss at iter 22875; skipping update. +2025-11-04 13:33:14,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:14,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:14,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=11.37, mean=-0.2106, std=2.957, absmax=12.47 +2025-11-04 13:33:14,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=9.794, mean=-0.195, std=2.76, absmax=12.55 +2025-11-04 13:33:15,296 ERROR: Encountered non-finite generator loss at iter 22876; skipping update. +2025-11-04 13:33:15,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:15,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:15,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:15,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:15,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=15.16, mean=0.01588, std=3.585, absmax=15.16 +2025-11-04 13:33:15,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=15.04, mean=0.03331, std=3.4, absmax=15.04 +2025-11-04 13:33:15,655 ERROR: Encountered non-finite generator loss at iter 22877; skipping update. +2025-11-04 13:33:15,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:15,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:15,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:15,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:15,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.27, max=12.82, mean=0.05056, std=2.783, absmax=12.82 +2025-11-04 13:33:15,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=12, mean=0.046, std=2.565, absmax=12 +2025-11-04 13:33:16,016 ERROR: Encountered non-finite generator loss at iter 22878; skipping update. +2025-11-04 13:33:16,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:16,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=13.95, mean=-0.1347, std=2.824, absmax=13.95 +2025-11-04 13:33:16,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=12.63, mean=-0.1523, std=2.643, absmax=12.63 +2025-11-04 13:33:16,376 ERROR: Encountered non-finite generator loss at iter 22879; skipping update. +2025-11-04 13:33:16,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:16,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.84, mean=-0.15, std=2.657, absmax=12.84 +2025-11-04 13:33:16,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.38, mean=-0.1435, std=2.462, absmax=11.49 +2025-11-04 13:33:16,736 ERROR: Encountered non-finite generator loss at iter 22880; skipping update. +2025-11-04 13:33:16,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:16,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:16,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=16.47, mean=-0.1146, std=3.151, absmax=16.47 +2025-11-04 13:33:16,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=15.65, mean=-0.1168, std=2.95, absmax=15.65 +2025-11-04 13:33:17,095 ERROR: Encountered non-finite generator loss at iter 22881; skipping update. +2025-11-04 13:33:17,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:17,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=10.82, mean=-0.2882, std=2.581, absmax=13.1 +2025-11-04 13:33:17,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=9.699, mean=-0.2832, std=2.45, absmax=12.02 +2025-11-04 13:33:17,455 ERROR: Encountered non-finite generator loss at iter 22882; skipping update. +2025-11-04 13:33:17,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:17,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.27, mean=-0.1266, std=2.763, absmax=13.27 +2025-11-04 13:33:17,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=11.53, mean=-0.123, std=2.529, absmax=11.53 +2025-11-04 13:33:17,815 ERROR: Encountered non-finite generator loss at iter 22883; skipping update. +2025-11-04 13:33:17,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:17,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:17,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=14.71, mean=-0.175, std=3.443, absmax=14.71 +2025-11-04 13:33:17,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=11.74, mean=-0.1329, std=3.238, absmax=13.49 +2025-11-04 13:33:18,174 ERROR: Encountered non-finite generator loss at iter 22884; skipping update. +2025-11-04 13:33:18,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:18,177 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.89, mean=-0.122, std=2.992, absmax=12.36 +2025-11-04 13:33:18,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=11.24, mean=-0.1254, std=2.88, absmax=11.24 +2025-11-04 13:33:18,534 ERROR: Encountered non-finite generator loss at iter 22885; skipping update. +2025-11-04 13:33:18,535 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,536 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,536 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:18,537 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=15.27, mean=-0.06792, std=2.805, absmax=15.27 +2025-11-04 13:33:18,537 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.01, mean=-0.06802, std=2.658, absmax=12.01 +2025-11-04 13:33:18,893 ERROR: Encountered non-finite generator loss at iter 22886; skipping update. +2025-11-04 13:33:18,895 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:18,898 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:18,899 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=11.83, mean=-0.1508, std=2.838, absmax=13.14 +2025-11-04 13:33:18,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=9.988, mean=-0.1621, std=2.655, absmax=12.97 +2025-11-04 13:33:19,256 ERROR: Encountered non-finite generator loss at iter 22887; skipping update. +2025-11-04 13:33:19,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:19,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=11.69, mean=-0.1862, std=2.737, absmax=13.7 +2025-11-04 13:33:19,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=10.38, mean=-0.1299, std=2.473, absmax=10.38 +2025-11-04 13:33:19,617 ERROR: Encountered non-finite generator loss at iter 22888; skipping update. +2025-11-04 13:33:19,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,619 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:19,620 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=10.19, mean=-0.2726, std=3.166, absmax=13.67 +2025-11-04 13:33:19,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.16, mean=-0.2667, std=2.885, absmax=12.03 +2025-11-04 13:33:19,977 ERROR: Encountered non-finite generator loss at iter 22889; skipping update. +2025-11-04 13:33:19,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:19,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:19,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=13.76, mean=-0.08088, std=3.205, absmax=13.76 +2025-11-04 13:33:19,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=12.33, mean=-0.1245, std=3.017, absmax=12.33 +2025-11-04 13:33:20,337 ERROR: Encountered non-finite generator loss at iter 22890; skipping update. +2025-11-04 13:33:20,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:20,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:20,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:20,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:20,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=16.65, mean=0.127, std=3.535, absmax=16.65 +2025-11-04 13:33:20,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=13.09, mean=0.09325, std=3.242, absmax=13.09 +2025-11-04 13:33:20,697 ERROR: Encountered non-finite generator loss at iter 22891; skipping update. +2025-11-04 13:33:20,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:20,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:20,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:20,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:20,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=15.79, mean=-0.2202, std=3.737, absmax=15.79 +2025-11-04 13:33:20,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=12.72, mean=-0.221, std=3.473, absmax=13.17 +2025-11-04 13:33:21,058 ERROR: Encountered non-finite generator loss at iter 22892; skipping update. +2025-11-04 13:33:21,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:21,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.2, mean=0.01539, std=3.042, absmax=12.2 +2025-11-04 13:33:21,061 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.37, mean=-0.003961, std=2.896, absmax=11.66 +2025-11-04 13:33:21,418 ERROR: Encountered non-finite generator loss at iter 22893; skipping update. +2025-11-04 13:33:21,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,420 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:21,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=14.63, mean=0.1025, std=3.467, absmax=14.63 +2025-11-04 13:33:21,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=13.4, mean=0.1084, std=3.331, absmax=13.4 +2025-11-04 13:33:21,777 ERROR: Encountered non-finite generator loss at iter 22894; skipping update. +2025-11-04 13:33:21,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:21,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:21,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.68, mean=-0.2556, std=2.949, absmax=13.68 +2025-11-04 13:33:21,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=13.39, mean=-0.2432, std=2.84, absmax=13.39 +2025-11-04 13:33:22,137 ERROR: Encountered non-finite generator loss at iter 22895; skipping update. +2025-11-04 13:33:22,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:22,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.5, mean=-0.1166, std=3.546, absmax=13.5 +2025-11-04 13:33:22,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=12.38, mean=-0.1058, std=3.216, absmax=12.38 +2025-11-04 13:33:22,497 ERROR: Encountered non-finite generator loss at iter 22896; skipping update. +2025-11-04 13:33:22,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:22,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=16.55, mean=-0.05009, std=2.818, absmax=16.55 +2025-11-04 13:33:22,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=14.25, mean=-0.04239, std=2.667, absmax=14.25 +2025-11-04 13:33:22,857 ERROR: Encountered non-finite generator loss at iter 22897; skipping update. +2025-11-04 13:33:22,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:22,859 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:22,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.7, mean=-0.0224, std=2.835, absmax=12.7 +2025-11-04 13:33:22,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=10.11, mean=-0.03761, std=2.603, absmax=10.54 +2025-11-04 13:33:23,217 ERROR: Encountered non-finite generator loss at iter 22898; skipping update. +2025-11-04 13:33:23,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:23,219 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.77, mean=-0.2452, std=2.881, absmax=12.77 +2025-11-04 13:33:23,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=13.62, mean=-0.2714, std=2.801, absmax=13.62 +2025-11-04 13:33:23,576 ERROR: Encountered non-finite generator loss at iter 22899; skipping update. +2025-11-04 13:33:23,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,578 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:23,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.86, mean=-0.3506, std=3.408, absmax=12.76 +2025-11-04 13:33:23,580 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=10.57, mean=-0.3133, std=3.193, absmax=13.15 +2025-11-04 13:33:23,936 ERROR: Encountered non-finite generator loss at iter 22900; skipping update. +2025-11-04 13:33:23,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:23,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:23,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=16.08, mean=0.1034, std=3.644, absmax=16.08 +2025-11-04 13:33:23,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=14.64, mean=0.1115, std=3.462, absmax=14.64 +2025-11-04 13:33:23,940 INFO: [38..][epoch: 0, step: 22,900, lr:(2.000e-04,)] [eta: 1 day, 5:17:18, time (data): 0.360 (0.000)] +2025-11-04 13:33:24,296 ERROR: Encountered non-finite generator loss at iter 22901; skipping update. +2025-11-04 13:33:24,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:24,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:24,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:24,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:24,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=14.88, mean=-0.1558, std=2.491, absmax=14.88 +2025-11-04 13:33:24,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=11.07, mean=-0.1297, std=2.324, absmax=11.07 +2025-11-04 13:33:24,656 ERROR: Encountered non-finite generator loss at iter 22902; skipping update. +2025-11-04 13:33:24,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:24,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:24,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:24,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:24,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.69, max=12.63, mean=-0.0695, std=2.723, absmax=12.63 +2025-11-04 13:33:24,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=12.21, mean=-0.0673, std=2.601, absmax=12.21 +2025-11-04 13:33:25,016 ERROR: Encountered non-finite generator loss at iter 22903; skipping update. +2025-11-04 13:33:25,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,018 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:25,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=14.63, mean=0.07445, std=3.656, absmax=14.63 +2025-11-04 13:33:25,020 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.82, max=13.2, mean=0.121, std=3.415, absmax=13.82 +2025-11-04 13:33:25,376 ERROR: Encountered non-finite generator loss at iter 22904; skipping update. +2025-11-04 13:33:25,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:25,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=15.75, mean=-0.00885, std=2.845, absmax=15.75 +2025-11-04 13:33:25,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=13.11, mean=-0.01482, std=2.621, absmax=13.11 +2025-11-04 13:33:25,736 ERROR: Encountered non-finite generator loss at iter 22905; skipping update. +2025-11-04 13:33:25,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:25,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:25,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.89, mean=-0.0288, std=2.766, absmax=13.89 +2025-11-04 13:33:25,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=11.83, mean=-0.06245, std=2.467, absmax=11.83 +2025-11-04 13:33:26,096 ERROR: Encountered non-finite generator loss at iter 22906; skipping update. +2025-11-04 13:33:26,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:26,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.15, mean=-0.3422, std=3.361, absmax=14.15 +2025-11-04 13:33:26,099 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.83, max=11.76, mean=-0.3896, std=3.24, absmax=13.83 +2025-11-04 13:33:26,456 ERROR: Encountered non-finite generator loss at iter 22907; skipping update. +2025-11-04 13:33:26,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:26,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=8.88, mean=-0.3126, std=2.668, absmax=11.14 +2025-11-04 13:33:26,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=8.379, mean=-0.3108, std=2.545, absmax=10.2 +2025-11-04 13:33:26,815 ERROR: Encountered non-finite generator loss at iter 22908; skipping update. +2025-11-04 13:33:26,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:26,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:26,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.44, mean=-0.2421, std=3.006, absmax=14.44 +2025-11-04 13:33:26,819 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=13.86, mean=-0.2342, std=2.804, absmax=13.86 +2025-11-04 13:33:27,175 ERROR: Encountered non-finite generator loss at iter 22909; skipping update. +2025-11-04 13:33:27,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,177 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:27,178 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.84, mean=-0.2421, std=2.579, absmax=12.84 +2025-11-04 13:33:27,178 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=8.725, mean=-0.2287, std=2.368, absmax=11.57 +2025-11-04 13:33:27,535 ERROR: Encountered non-finite generator loss at iter 22910; skipping update. +2025-11-04 13:33:27,536 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,536 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,537 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,537 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:27,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.36, mean=-0.3264, std=2.825, absmax=12.74 +2025-11-04 13:33:27,538 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=9.568, mean=-0.2517, std=2.735, absmax=12.99 +2025-11-04 13:33:27,894 ERROR: Encountered non-finite generator loss at iter 22911; skipping update. +2025-11-04 13:33:27,895 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:27,896 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:27,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.12, mean=-0.006014, std=3.326, absmax=14.12 +2025-11-04 13:33:27,897 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=13.62, mean=0.01908, std=3.027, absmax=13.62 +2025-11-04 13:33:28,254 ERROR: Encountered non-finite generator loss at iter 22912; skipping update. +2025-11-04 13:33:28,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,255 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:28,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=14.66, mean=-0.1796, std=3.326, absmax=14.66 +2025-11-04 13:33:28,257 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.94, mean=-0.2125, std=3.088, absmax=12.94 +2025-11-04 13:33:28,613 ERROR: Encountered non-finite generator loss at iter 22913; skipping update. +2025-11-04 13:33:28,614 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,615 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,615 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:28,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.48, mean=-0.06586, std=3.389, absmax=12.86 +2025-11-04 13:33:28,617 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.87, mean=-0.06521, std=3.178, absmax=11.87 +2025-11-04 13:33:28,974 ERROR: Encountered non-finite generator loss at iter 22914; skipping update. +2025-11-04 13:33:28,974 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,975 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:28,975 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:28,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.06, mean=-0.1495, std=3.089, absmax=14.06 +2025-11-04 13:33:28,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=12.31, mean=-0.104, std=2.874, absmax=12.31 +2025-11-04 13:33:29,333 ERROR: Encountered non-finite generator loss at iter 22915; skipping update. +2025-11-04 13:33:29,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:29,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:29,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:29,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:29,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=15.71, mean=0.0805, std=3.374, absmax=15.71 +2025-11-04 13:33:29,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=14.59, mean=0.08341, std=3.125, absmax=14.59 +2025-11-04 13:33:29,693 ERROR: Encountered non-finite generator loss at iter 22916; skipping update. +2025-11-04 13:33:29,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:29,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:29,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:29,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:29,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.48, mean=-0.2414, std=2.476, absmax=13.3 +2025-11-04 13:33:29,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.04, mean=-0.2218, std=2.427, absmax=11.31 +2025-11-04 13:33:30,053 ERROR: Encountered non-finite generator loss at iter 22917; skipping update. +2025-11-04 13:33:30,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:30,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=15.8, mean=-0.09711, std=3.156, absmax=15.8 +2025-11-04 13:33:30,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=14.71, mean=-0.0767, std=2.94, absmax=14.71 +2025-11-04 13:33:30,413 ERROR: Encountered non-finite generator loss at iter 22918; skipping update. +2025-11-04 13:33:30,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:30,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.18, max=13.37, mean=-0.009537, std=3.039, absmax=16.18 +2025-11-04 13:33:30,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.7, mean=-0.03687, std=2.758, absmax=12.44 +2025-11-04 13:33:30,773 ERROR: Encountered non-finite generator loss at iter 22919; skipping update. +2025-11-04 13:33:30,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:30,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:30,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=14.09, mean=-0.2075, std=3.083, absmax=14.09 +2025-11-04 13:33:30,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=11.33, mean=-0.2168, std=2.764, absmax=11.33 +2025-11-04 13:33:31,132 ERROR: Encountered non-finite generator loss at iter 22920; skipping update. +2025-11-04 13:33:31,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,134 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:31,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.7, mean=-0.1282, std=2.731, absmax=13.47 +2025-11-04 13:33:31,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=11.03, mean=-0.1256, std=2.486, absmax=12.86 +2025-11-04 13:33:31,492 ERROR: Encountered non-finite generator loss at iter 22921; skipping update. +2025-11-04 13:33:31,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:31,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=11.13, mean=-0.2133, std=2.584, absmax=13.48 +2025-11-04 13:33:31,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=9.745, mean=-0.2304, std=2.411, absmax=12.03 +2025-11-04 13:33:31,851 ERROR: Encountered non-finite generator loss at iter 22922; skipping update. +2025-11-04 13:33:31,852 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:31,853 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:31,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.34, mean=-0.01527, std=3.425, absmax=14.34 +2025-11-04 13:33:31,854 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=12.24, mean=-0.02301, std=3.15, absmax=12.24 +2025-11-04 13:33:32,211 ERROR: Encountered non-finite generator loss at iter 22923; skipping update. +2025-11-04 13:33:32,212 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,213 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,213 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:32,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=13.4, mean=-0.02881, std=3.373, absmax=13.4 +2025-11-04 13:33:32,214 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=13.82, mean=-0.02741, std=3.261, absmax=13.82 +2025-11-04 13:33:32,571 ERROR: Encountered non-finite generator loss at iter 22924; skipping update. +2025-11-04 13:33:32,572 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,573 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,573 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:32,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.01, mean=-0.3345, std=2.808, absmax=13.24 +2025-11-04 13:33:32,574 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=9.36, mean=-0.373, std=2.642, absmax=11.41 +2025-11-04 13:33:32,931 ERROR: Encountered non-finite generator loss at iter 22925; skipping update. +2025-11-04 13:33:32,932 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,933 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:32,933 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:32,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=11.55, mean=-0.1623, std=2.537, absmax=13.05 +2025-11-04 13:33:32,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=12.99, mean=-0.1812, std=2.461, absmax=12.99 +2025-11-04 13:33:33,290 ERROR: Encountered non-finite generator loss at iter 22926; skipping update. +2025-11-04 13:33:33,291 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:33,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:33,292 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:33,292 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:33,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=14.13, mean=-0.1285, std=3.167, absmax=14.13 +2025-11-04 13:33:33,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.83, mean=-0.08719, std=2.863, absmax=11.65 +2025-11-04 13:33:33,649 ERROR: Encountered non-finite generator loss at iter 22927; skipping update. +2025-11-04 13:33:33,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:33,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:33,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:33,651 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:33,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=11.45, mean=-0.3672, std=3.268, absmax=14.96 +2025-11-04 13:33:33,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.67, max=10.47, mean=-0.3109, std=3.131, absmax=14.67 +2025-11-04 13:33:34,009 ERROR: Encountered non-finite generator loss at iter 22928; skipping update. +2025-11-04 13:33:34,010 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,011 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,011 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:34,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=10.2, mean=-0.1961, std=2.409, absmax=11.84 +2025-11-04 13:33:34,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=9.286, mean=-0.2093, std=2.236, absmax=10.9 +2025-11-04 13:33:34,369 ERROR: Encountered non-finite generator loss at iter 22929; skipping update. +2025-11-04 13:33:34,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,371 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,371 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:34,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=17.43, mean=-0.1641, std=3.452, absmax=17.43 +2025-11-04 13:33:34,372 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=14.72, mean=-0.1364, std=3.235, absmax=14.72 +2025-11-04 13:33:34,729 ERROR: Encountered non-finite generator loss at iter 22930; skipping update. +2025-11-04 13:33:34,730 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,730 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:34,731 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:34,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.7, mean=-0.05629, std=2.897, absmax=13.18 +2025-11-04 13:33:34,732 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=10.22, mean=-0.0473, std=2.6, absmax=11.42 +2025-11-04 13:33:35,088 ERROR: Encountered non-finite generator loss at iter 22931; skipping update. +2025-11-04 13:33:35,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,090 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:35,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=9.187, mean=-0.317, std=2.363, absmax=10.97 +2025-11-04 13:33:35,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.973, max=7.522, mean=-0.3209, std=2.183, absmax=9.973 +2025-11-04 13:33:35,448 ERROR: Encountered non-finite generator loss at iter 22932; skipping update. +2025-11-04 13:33:35,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,450 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:35,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.64, mean=-0.0143, std=3.236, absmax=13.64 +2025-11-04 13:33:35,451 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=11.56, mean=-0.01104, std=2.92, absmax=11.85 +2025-11-04 13:33:35,807 ERROR: Encountered non-finite generator loss at iter 22933; skipping update. +2025-11-04 13:33:35,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:35,810 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:35,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=13.23, mean=-0.1161, std=2.645, absmax=13.23 +2025-11-04 13:33:35,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=10.85, mean=-0.1053, std=2.495, absmax=10.85 +2025-11-04 13:33:36,167 ERROR: Encountered non-finite generator loss at iter 22934; skipping update. +2025-11-04 13:33:36,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:36,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.95, mean=0.0915, std=3.436, absmax=14.95 +2025-11-04 13:33:36,170 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=14.38, mean=0.1171, std=3.196, absmax=14.38 +2025-11-04 13:33:36,526 ERROR: Encountered non-finite generator loss at iter 22935; skipping update. +2025-11-04 13:33:36,527 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,528 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:36,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.02, mean=-0.08654, std=2.785, absmax=12.51 +2025-11-04 13:33:36,529 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=9.774, mean=-0.09294, std=2.508, absmax=10.89 +2025-11-04 13:33:36,885 ERROR: Encountered non-finite generator loss at iter 22936; skipping update. +2025-11-04 13:33:36,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:36,887 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:36,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=13.57, mean=-0.09586, std=2.809, absmax=13.57 +2025-11-04 13:33:36,888 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=11.65, mean=-0.162, std=2.664, absmax=11.65 +2025-11-04 13:33:37,245 ERROR: Encountered non-finite generator loss at iter 22937; skipping update. +2025-11-04 13:33:37,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,247 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:37,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=15.29, mean=-0.2616, std=3.588, absmax=15.29 +2025-11-04 13:33:37,248 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=13.95, mean=-0.2022, std=3.381, absmax=13.95 +2025-11-04 13:33:37,605 ERROR: Encountered non-finite generator loss at iter 22938; skipping update. +2025-11-04 13:33:37,606 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,607 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,607 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:37,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=17.52, mean=-0.1543, std=3.136, absmax=17.52 +2025-11-04 13:33:37,608 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=16.41, mean=-0.1864, std=3.045, absmax=16.41 +2025-11-04 13:33:37,965 ERROR: Encountered non-finite generator loss at iter 22939; skipping update. +2025-11-04 13:33:37,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:37,967 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:37,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=10.73, mean=-0.2992, std=2.974, absmax=12.91 +2025-11-04 13:33:37,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=9.392, mean=-0.2821, std=2.769, absmax=11.65 +2025-11-04 13:33:38,325 ERROR: Encountered non-finite generator loss at iter 22940; skipping update. +2025-11-04 13:33:38,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:38,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:38,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:38,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:38,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.52, mean=-0.1938, std=2.36, absmax=12.08 +2025-11-04 13:33:38,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.881, max=10.01, mean=-0.1677, std=2.224, absmax=10.01 +2025-11-04 13:33:38,685 ERROR: Encountered non-finite generator loss at iter 22941; skipping update. +2025-11-04 13:33:38,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:38,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:38,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:38,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:38,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=11.21, mean=-0.1487, std=2.545, absmax=11.21 +2025-11-04 13:33:38,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.361, mean=-0.1519, std=2.519, absmax=11.4 +2025-11-04 13:33:39,045 ERROR: Encountered non-finite generator loss at iter 22942; skipping update. +2025-11-04 13:33:39,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:39,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=16.73, mean=-0.2223, std=3.185, absmax=16.73 +2025-11-04 13:33:39,048 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=16.22, mean=-0.2155, std=3.018, absmax=16.22 +2025-11-04 13:33:39,405 ERROR: Encountered non-finite generator loss at iter 22943; skipping update. +2025-11-04 13:33:39,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:39,408 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=15.8, mean=-0.1372, std=3.426, absmax=15.8 +2025-11-04 13:33:39,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=14.31, mean=-0.09901, std=3.157, absmax=14.31 +2025-11-04 13:33:39,765 ERROR: Encountered non-finite generator loss at iter 22944; skipping update. +2025-11-04 13:33:39,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,767 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:39,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:39,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=12.24, mean=-0.2007, std=2.939, absmax=13.05 +2025-11-04 13:33:39,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=12.57, mean=-0.2121, std=2.697, absmax=12.57 +2025-11-04 13:33:40,125 ERROR: Encountered non-finite generator loss at iter 22945; skipping update. +2025-11-04 13:33:40,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,127 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:40,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.75, mean=-0.2471, std=3.039, absmax=13.75 +2025-11-04 13:33:40,128 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=12.26, mean=-0.2195, std=2.855, absmax=12.26 +2025-11-04 13:33:40,485 ERROR: Encountered non-finite generator loss at iter 22946; skipping update. +2025-11-04 13:33:40,486 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,487 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:40,488 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.11, mean=-0.2328, std=2.83, absmax=13.15 +2025-11-04 13:33:40,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=10.39, mean=-0.2239, std=2.506, absmax=11.93 +2025-11-04 13:33:40,845 ERROR: Encountered non-finite generator loss at iter 22947; skipping update. +2025-11-04 13:33:40,845 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,846 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:40,846 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:40,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.97, mean=-0.2233, std=2.657, absmax=11.97 +2025-11-04 13:33:40,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=11.43, mean=-0.2303, std=2.516, absmax=11.43 +2025-11-04 13:33:41,204 ERROR: Encountered non-finite generator loss at iter 22948; skipping update. +2025-11-04 13:33:41,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:41,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.01, mean=-0.0527, std=2.931, absmax=13.16 +2025-11-04 13:33:41,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=10.15, mean=-0.02554, std=2.715, absmax=12.01 +2025-11-04 13:33:41,563 ERROR: Encountered non-finite generator loss at iter 22949; skipping update. +2025-11-04 13:33:41,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:41,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.2, mean=-0.1164, std=3.008, absmax=13.2 +2025-11-04 13:33:41,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.23, mean=-0.1086, std=2.821, absmax=12.23 +2025-11-04 13:33:41,923 ERROR: Encountered non-finite generator loss at iter 22950; skipping update. +2025-11-04 13:33:41,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,924 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,925 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:41,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:41,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.39, mean=-0.208, std=3.482, absmax=14.39 +2025-11-04 13:33:41,926 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=10.78, mean=-0.2219, std=3.169, absmax=12.12 +2025-11-04 13:33:42,283 ERROR: Encountered non-finite generator loss at iter 22951; skipping update. +2025-11-04 13:33:42,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:42,284 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:42,285 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:42,285 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:42,286 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.35, max=18.02, mean=-0.2273, std=3.326, absmax=18.02 +2025-11-04 13:33:42,286 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=15.96, mean=-0.2266, std=2.984, absmax=15.96 +2025-11-04 13:33:42,643 ERROR: Encountered non-finite generator loss at iter 22952; skipping update. +2025-11-04 13:33:42,644 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:42,645 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:42,645 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:42,645 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:42,646 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.68, mean=-0.1678, std=2.441, absmax=14 +2025-11-04 13:33:42,646 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.79, max=10.36, mean=-0.1812, std=2.334, absmax=13.79 +2025-11-04 13:33:43,003 ERROR: Encountered non-finite generator loss at iter 22953; skipping update. +2025-11-04 13:33:43,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,006 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:43,006 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=12.04, mean=-0.2456, std=2.856, absmax=12.41 +2025-11-04 13:33:43,007 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=11.04, mean=-0.1892, std=2.67, absmax=11.04 +2025-11-04 13:33:43,363 ERROR: Encountered non-finite generator loss at iter 22954; skipping update. +2025-11-04 13:33:43,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:43,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.14, mean=-0.1171, std=3.032, absmax=14.14 +2025-11-04 13:33:43,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=13.52, mean=-0.1574, std=2.865, absmax=13.52 +2025-11-04 13:33:43,723 ERROR: Encountered non-finite generator loss at iter 22955; skipping update. +2025-11-04 13:33:43,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,725 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:43,725 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:43,726 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.05, mean=-0.1764, std=2.53, absmax=12.26 +2025-11-04 13:33:43,726 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=10.55, mean=-0.1342, std=2.409, absmax=11.11 +2025-11-04 13:33:44,083 ERROR: Encountered non-finite generator loss at iter 22956; skipping update. +2025-11-04 13:33:44,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:44,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.38, max=12.5, mean=-0.1431, std=3.146, absmax=16.38 +2025-11-04 13:33:44,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.14, max=11.77, mean=-0.1322, std=3.046, absmax=15.14 +2025-11-04 13:33:44,443 ERROR: Encountered non-finite generator loss at iter 22957; skipping update. +2025-11-04 13:33:44,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:44,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.06, mean=0.0369, std=3.34, absmax=14.06 +2025-11-04 13:33:44,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=12.77, mean=0.01544, std=3.077, absmax=12.77 +2025-11-04 13:33:44,803 ERROR: Encountered non-finite generator loss at iter 22958; skipping update. +2025-11-04 13:33:44,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,805 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:44,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:44,806 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11.55, mean=-0.2334, std=2.865, absmax=11.67 +2025-11-04 13:33:44,807 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=11.95, mean=-0.2219, std=2.699, absmax=11.95 +2025-11-04 13:33:45,163 ERROR: Encountered non-finite generator loss at iter 22959; skipping update. +2025-11-04 13:33:45,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:45,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=12.05, mean=-0.167, std=2.863, absmax=13.92 +2025-11-04 13:33:45,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.78, mean=-0.1252, std=2.652, absmax=12.03 +2025-11-04 13:33:45,523 ERROR: Encountered non-finite generator loss at iter 22960; skipping update. +2025-11-04 13:33:45,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:45,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=16.59, mean=-0.143, std=3.073, absmax=16.59 +2025-11-04 13:33:45,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=14.54, mean=-0.1363, std=2.78, absmax=14.54 +2025-11-04 13:33:45,883 ERROR: Encountered non-finite generator loss at iter 22961; skipping update. +2025-11-04 13:33:45,883 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,884 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:45,884 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:45,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.4, mean=-0.2826, std=3.086, absmax=14.4 +2025-11-04 13:33:45,885 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=13.12, mean=-0.2554, std=2.82, absmax=13.12 +2025-11-04 13:33:46,242 ERROR: Encountered non-finite generator loss at iter 22962; skipping update. +2025-11-04 13:33:46,243 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,244 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,244 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:46,245 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=12.2, mean=-0.2551, std=3.206, absmax=14.36 +2025-11-04 13:33:46,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=10.13, mean=-0.2263, std=2.99, absmax=11.94 +2025-11-04 13:33:46,602 ERROR: Encountered non-finite generator loss at iter 22963; skipping update. +2025-11-04 13:33:46,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:46,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.54, mean=-0.2344, std=2.665, absmax=13.54 +2025-11-04 13:33:46,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=11.49, mean=-0.2192, std=2.516, absmax=11.57 +2025-11-04 13:33:46,962 ERROR: Encountered non-finite generator loss at iter 22964; skipping update. +2025-11-04 13:33:46,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:46,964 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:46,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=16.48, mean=-0.3337, std=3.353, absmax=16.48 +2025-11-04 13:33:46,965 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=13.53, mean=-0.2664, std=3.107, absmax=13.53 +2025-11-04 13:33:47,322 ERROR: Encountered non-finite generator loss at iter 22965; skipping update. +2025-11-04 13:33:47,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:47,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:47,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:47,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:47,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=13.57, mean=-0.1825, std=2.706, absmax=13.57 +2025-11-04 13:33:47,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.31, mean=-0.08619, std=2.624, absmax=11.31 +2025-11-04 13:33:47,682 ERROR: Encountered non-finite generator loss at iter 22966; skipping update. +2025-11-04 13:33:47,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:47,683 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:47,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:47,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:47,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=14.15, mean=-0.2831, std=3.414, absmax=15.72 +2025-11-04 13:33:47,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=10.88, mean=-0.2497, std=3.089, absmax=12.36 +2025-11-04 13:33:48,042 ERROR: Encountered non-finite generator loss at iter 22967; skipping update. +2025-11-04 13:33:48,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:48,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.66, mean=-0.02358, std=3.048, absmax=13.66 +2025-11-04 13:33:48,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=13.13, mean=-0.02745, std=2.862, absmax=13.13 +2025-11-04 13:33:48,402 ERROR: Encountered non-finite generator loss at iter 22968; skipping update. +2025-11-04 13:33:48,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:48,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=14.63, mean=-0.06752, std=2.961, absmax=14.63 +2025-11-04 13:33:48,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.988, max=12.9, mean=-0.07596, std=2.736, absmax=12.9 +2025-11-04 13:33:48,762 ERROR: Encountered non-finite generator loss at iter 22969; skipping update. +2025-11-04 13:33:48,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,763 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:48,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:48,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.59, mean=-0.1946, std=3.009, absmax=13.96 +2025-11-04 13:33:48,765 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.33, mean=-0.1553, std=2.812, absmax=12.34 +2025-11-04 13:33:49,122 ERROR: Encountered non-finite generator loss at iter 22970; skipping update. +2025-11-04 13:33:49,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:49,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.34, mean=-0.2441, std=3.009, absmax=13.13 +2025-11-04 13:33:49,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=10.55, mean=-0.2694, std=2.855, absmax=12.67 +2025-11-04 13:33:49,481 ERROR: Encountered non-finite generator loss at iter 22971; skipping update. +2025-11-04 13:33:49,482 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,483 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,483 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:49,484 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.71, mean=-0.06157, std=3.458, absmax=12.75 +2025-11-04 13:33:49,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=11.78, mean=-0.07924, std=3.142, absmax=11.78 +2025-11-04 13:33:49,841 ERROR: Encountered non-finite generator loss at iter 22972; skipping update. +2025-11-04 13:33:49,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:49,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:49,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.28, mean=-0.08239, std=3.174, absmax=14.28 +2025-11-04 13:33:49,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=13.4, mean=-0.06824, std=3.041, absmax=13.4 +2025-11-04 13:33:50,201 ERROR: Encountered non-finite generator loss at iter 22973; skipping update. +2025-11-04 13:33:50,202 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,203 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:50,204 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.95, mean=-0.2412, std=3.531, absmax=13.95 +2025-11-04 13:33:50,205 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=13.28, mean=-0.2281, std=3.303, absmax=13.28 +2025-11-04 13:33:50,561 ERROR: Encountered non-finite generator loss at iter 22974; skipping update. +2025-11-04 13:33:50,562 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,562 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,562 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,563 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:50,563 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.82, max=16.87, mean=-0.3182, std=3.491, absmax=16.87 +2025-11-04 13:33:50,564 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=15.35, mean=-0.3109, std=3.197, absmax=15.35 +2025-11-04 13:33:50,920 ERROR: Encountered non-finite generator loss at iter 22975; skipping update. +2025-11-04 13:33:50,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:50,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:50,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.34, mean=-0.1932, std=2.815, absmax=13.34 +2025-11-04 13:33:50,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=10.85, mean=-0.2364, std=2.593, absmax=10.85 +2025-11-04 13:33:51,280 ERROR: Encountered non-finite generator loss at iter 22976; skipping update. +2025-11-04 13:33:51,281 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:51,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:51,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:51,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:51,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=16.54, mean=-0.09854, std=2.984, absmax=16.54 +2025-11-04 13:33:51,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=14, mean=-0.08342, std=2.823, absmax=14 +2025-11-04 13:33:51,640 ERROR: Encountered non-finite generator loss at iter 22977; skipping update. +2025-11-04 13:33:51,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:51,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:51,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:51,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:51,643 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.09, mean=-0.1428, std=3.938, absmax=13.86 +2025-11-04 13:33:51,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=12.93, mean=-0.1354, std=3.668, absmax=13.7 +2025-11-04 13:33:52,000 ERROR: Encountered non-finite generator loss at iter 22978; skipping update. +2025-11-04 13:33:52,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,002 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:52,003 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=10.85, mean=-0.1694, std=2.629, absmax=11.4 +2025-11-04 13:33:52,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.31, max=9.593, mean=-0.1952, std=2.459, absmax=10.31 +2025-11-04 13:33:52,360 ERROR: Encountered non-finite generator loss at iter 22979; skipping update. +2025-11-04 13:33:52,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,362 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:52,363 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=16.89, mean=-0.2583, std=2.702, absmax=16.89 +2025-11-04 13:33:52,364 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=14.54, mean=-0.2304, std=2.533, absmax=14.54 +2025-11-04 13:33:52,720 ERROR: Encountered non-finite generator loss at iter 22980; skipping update. +2025-11-04 13:33:52,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:52,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:52,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.53, mean=-0.115, std=3.189, absmax=12.81 +2025-11-04 13:33:52,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.55, mean=-0.0846, std=2.892, absmax=11.55 +2025-11-04 13:33:53,080 ERROR: Encountered non-finite generator loss at iter 22981; skipping update. +2025-11-04 13:33:53,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:53,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=12.9, mean=-0.2851, std=3.007, absmax=13.37 +2025-11-04 13:33:53,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=13.63, mean=-0.2782, std=2.917, absmax=13.63 +2025-11-04 13:33:53,440 ERROR: Encountered non-finite generator loss at iter 22982; skipping update. +2025-11-04 13:33:53,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,442 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:53,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=10.59, mean=-0.2532, std=2.535, absmax=11.32 +2025-11-04 13:33:53,443 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=8.759, mean=-0.2406, std=2.392, absmax=10.35 +2025-11-04 13:33:53,800 ERROR: Encountered non-finite generator loss at iter 22983; skipping update. +2025-11-04 13:33:53,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:53,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:53,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.32, mean=-0.1968, std=2.547, absmax=12.32 +2025-11-04 13:33:53,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=11.67, mean=-0.1971, std=2.364, absmax=11.67 +2025-11-04 13:33:54,160 ERROR: Encountered non-finite generator loss at iter 22984; skipping update. +2025-11-04 13:33:54,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,161 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:54,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.76, mean=-0.1674, std=3.209, absmax=13.76 +2025-11-04 13:33:54,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.28, mean=-0.1503, std=2.898, absmax=12.28 +2025-11-04 13:33:54,520 ERROR: Encountered non-finite generator loss at iter 22985; skipping update. +2025-11-04 13:33:54,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:54,523 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=11.19, mean=-0.2629, std=2.685, absmax=14.73 +2025-11-04 13:33:54,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=8.791, mean=-0.242, std=2.575, absmax=12.58 +2025-11-04 13:33:54,880 ERROR: Encountered non-finite generator loss at iter 22986; skipping update. +2025-11-04 13:33:54,881 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:54,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:54,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=10.84, mean=-0.3891, std=2.907, absmax=11.94 +2025-11-04 13:33:54,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=9.798, mean=-0.3848, std=2.729, absmax=11.79 +2025-11-04 13:33:55,239 ERROR: Encountered non-finite generator loss at iter 22987; skipping update. +2025-11-04 13:33:55,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:55,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=15.82, mean=-0.1652, std=3.243, absmax=15.82 +2025-11-04 13:33:55,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=13.91, mean=-0.2398, std=3.064, absmax=13.91 +2025-11-04 13:33:55,599 ERROR: Encountered non-finite generator loss at iter 22988; skipping update. +2025-11-04 13:33:55,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:55,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.5, mean=-0.2407, std=2.699, absmax=12.5 +2025-11-04 13:33:55,603 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=9.93, mean=-0.2099, std=2.457, absmax=10.13 +2025-11-04 13:33:55,959 ERROR: Encountered non-finite generator loss at iter 22989; skipping update. +2025-11-04 13:33:55,960 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,960 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:55,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:55,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.07, mean=-0.236, std=2.628, absmax=13.07 +2025-11-04 13:33:55,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.962, max=11.5, mean=-0.1939, std=2.44, absmax=11.5 +2025-11-04 13:33:56,319 ERROR: Encountered non-finite generator loss at iter 22990; skipping update. +2025-11-04 13:33:56,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:56,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:56,321 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:56,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:56,322 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.99, mean=-0.2509, std=2.475, absmax=12.99 +2025-11-04 13:33:56,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=10.66, mean=-0.2787, std=2.3, absmax=11.81 +2025-11-04 13:33:56,678 ERROR: Encountered non-finite generator loss at iter 22991; skipping update. +2025-11-04 13:33:56,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:56,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:56,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:56,681 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:56,681 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=15.55, mean=0.06166, std=3.699, absmax=15.55 +2025-11-04 13:33:56,682 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=12.91, mean=0.05172, std=3.41, absmax=12.91 +2025-11-04 13:33:57,039 ERROR: Encountered non-finite generator loss at iter 22992; skipping update. +2025-11-04 13:33:57,040 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,041 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:57,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=11.83, mean=-0.2267, std=3.289, absmax=14.76 +2025-11-04 13:33:57,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.28, max=10.92, mean=-0.2583, std=3.191, absmax=14.28 +2025-11-04 13:33:57,399 ERROR: Encountered non-finite generator loss at iter 22993; skipping update. +2025-11-04 13:33:57,400 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,401 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:57,402 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=13.66, mean=-0.3165, std=3.718, absmax=14.18 +2025-11-04 13:33:57,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=12.15, mean=-0.3294, std=3.445, absmax=12.91 +2025-11-04 13:33:57,758 ERROR: Encountered non-finite generator loss at iter 22994; skipping update. +2025-11-04 13:33:57,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:57,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:57,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.74, mean=-0.1778, std=3.219, absmax=13.74 +2025-11-04 13:33:57,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=11.72, mean=-0.1751, std=3.02, absmax=13.28 +2025-11-04 13:33:58,118 ERROR: Encountered non-finite generator loss at iter 22995; skipping update. +2025-11-04 13:33:58,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,120 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:58,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.96, mean=-0.1189, std=2.997, absmax=14.96 +2025-11-04 13:33:58,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=13.13, mean=-0.1565, std=2.806, absmax=13.13 +2025-11-04 13:33:58,478 ERROR: Encountered non-finite generator loss at iter 22996; skipping update. +2025-11-04 13:33:58,479 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,480 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,480 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,480 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:58,481 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=11.44, mean=-0.3567, std=3.09, absmax=13.52 +2025-11-04 13:33:58,481 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=10.92, mean=-0.3229, std=2.889, absmax=12.25 +2025-11-04 13:33:58,838 ERROR: Encountered non-finite generator loss at iter 22997; skipping update. +2025-11-04 13:33:58,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:58,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:58,841 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=11.71, mean=-0.2586, std=2.474, absmax=11.71 +2025-11-04 13:33:58,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=9.768, mean=-0.2547, std=2.313, absmax=11.18 +2025-11-04 13:33:59,198 ERROR: Encountered non-finite generator loss at iter 22998; skipping update. +2025-11-04 13:33:59,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:59,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.5, mean=-0.08861, std=2.836, absmax=13.12 +2025-11-04 13:33:59,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=11.68, mean=-0.07195, std=2.604, absmax=11.68 +2025-11-04 13:33:59,558 ERROR: Encountered non-finite generator loss at iter 22999; skipping update. +2025-11-04 13:33:59,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:59,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=12.41, mean=-0.3214, std=2.347, absmax=12.41 +2025-11-04 13:33:59,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.18, mean=-0.2866, std=2.26, absmax=11.18 +2025-11-04 13:33:59,918 ERROR: Encountered non-finite generator loss at iter 23000; skipping update. +2025-11-04 13:33:59,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:33:59,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:33:59,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.68, max=12.63, mean=0.01348, std=2.931, absmax=12.63 +2025-11-04 13:33:59,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=10.67, mean=-0.001146, std=2.833, absmax=11.03 +2025-11-04 13:33:59,922 INFO: [38..][epoch: 0, step: 23,000, lr:(2.000e-04,)] [eta: 1 day, 5:10:36, time (data): 0.360 (0.000)] +2025-11-04 13:34:00,278 ERROR: Encountered non-finite generator loss at iter 23001; skipping update. +2025-11-04 13:34:00,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:00,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:00,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:00,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:00,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.27, mean=-0.2262, std=2.729, absmax=14.27 +2025-11-04 13:34:00,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.2, mean=-0.2217, std=2.494, absmax=11.77 +2025-11-04 13:34:00,638 ERROR: Encountered non-finite generator loss at iter 23002; skipping update. +2025-11-04 13:34:00,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:00,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:00,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:00,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:00,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.17, mean=-0.1446, std=3.016, absmax=12.17 +2025-11-04 13:34:00,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=11.52, mean=-0.179, std=2.933, absmax=12.29 +2025-11-04 13:34:00,998 ERROR: Encountered non-finite generator loss at iter 23003; skipping update. +2025-11-04 13:34:00,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:01,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.09, mean=-0.004875, std=3.643, absmax=14.09 +2025-11-04 13:34:01,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.2, max=13.03, mean=-0.002759, std=3.342, absmax=13.2 +2025-11-04 13:34:01,358 ERROR: Encountered non-finite generator loss at iter 23004; skipping update. +2025-11-04 13:34:01,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:01,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.44, mean=-0.2659, std=2.679, absmax=12.34 +2025-11-04 13:34:01,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.621, mean=-0.2835, std=2.507, absmax=11.67 +2025-11-04 13:34:01,718 ERROR: Encountered non-finite generator loss at iter 23005; skipping update. +2025-11-04 13:34:01,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:01,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:01,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.07, max=10.97, mean=-0.1964, std=2.418, absmax=11.07 +2025-11-04 13:34:01,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.612, max=9.65, mean=-0.1567, std=2.245, absmax=9.65 +2025-11-04 13:34:02,078 ERROR: Encountered non-finite generator loss at iter 23006; skipping update. +2025-11-04 13:34:02,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:02,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.81, mean=-0.1947, std=2.911, absmax=13.3 +2025-11-04 13:34:02,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=10.62, mean=-0.1402, std=2.761, absmax=11.08 +2025-11-04 13:34:02,438 ERROR: Encountered non-finite generator loss at iter 23007; skipping update. +2025-11-04 13:34:02,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:02,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=12.28, mean=-0.07742, std=2.893, absmax=12.59 +2025-11-04 13:34:02,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=11.15, mean=-0.06246, std=2.655, absmax=11.15 +2025-11-04 13:34:02,797 ERROR: Encountered non-finite generator loss at iter 23008; skipping update. +2025-11-04 13:34:02,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:02,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:02,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.41, mean=0.0203, std=3.448, absmax=13.41 +2025-11-04 13:34:02,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=12.34, mean=0.04105, std=3.305, absmax=13.07 +2025-11-04 13:34:03,157 ERROR: Encountered non-finite generator loss at iter 23009; skipping update. +2025-11-04 13:34:03,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:03,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=11.3, mean=-0.2532, std=2.729, absmax=13.23 +2025-11-04 13:34:03,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=9.978, mean=-0.2584, std=2.526, absmax=12.14 +2025-11-04 13:34:03,517 ERROR: Encountered non-finite generator loss at iter 23010; skipping update. +2025-11-04 13:34:03,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:03,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.09, mean=-0.2806, std=2.732, absmax=12.73 +2025-11-04 13:34:03,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=9.363, mean=-0.2607, std=2.507, absmax=11.54 +2025-11-04 13:34:03,877 ERROR: Encountered non-finite generator loss at iter 23011; skipping update. +2025-11-04 13:34:03,878 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,879 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:03,879 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:03,880 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=14.97, mean=-0.006577, std=3.585, absmax=14.97 +2025-11-04 13:34:03,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=12.73, mean=-0.00119, std=3.254, absmax=12.73 +2025-11-04 13:34:04,237 ERROR: Encountered non-finite generator loss at iter 23012; skipping update. +2025-11-04 13:34:04,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:04,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=14.64, mean=-0.1689, std=3.802, absmax=14.64 +2025-11-04 13:34:04,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=13.78, mean=-0.1807, std=3.494, absmax=13.78 +2025-11-04 13:34:04,597 ERROR: Encountered non-finite generator loss at iter 23013; skipping update. +2025-11-04 13:34:04,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:04,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14, mean=-0.2267, std=3.228, absmax=14 +2025-11-04 13:34:04,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.66, mean=-0.2198, std=3.034, absmax=12.5 +2025-11-04 13:34:04,956 ERROR: Encountered non-finite generator loss at iter 23014; skipping update. +2025-11-04 13:34:04,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:04,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:04,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.29, mean=0.01689, std=3.149, absmax=13.56 +2025-11-04 13:34:04,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=12.28, mean=0.05342, std=2.967, absmax=12.28 +2025-11-04 13:34:05,316 ERROR: Encountered non-finite generator loss at iter 23015; skipping update. +2025-11-04 13:34:05,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:05,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:05,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:05,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:05,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.46, mean=-0.08617, std=3.27, absmax=13.28 +2025-11-04 13:34:05,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.82, mean=-0.1199, std=2.949, absmax=12.29 +2025-11-04 13:34:05,676 ERROR: Encountered non-finite generator loss at iter 23016; skipping update. +2025-11-04 13:34:05,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:05,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:05,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:05,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:05,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=12.56, mean=-0.232, std=2.799, absmax=12.56 +2025-11-04 13:34:05,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.59, mean=-0.2088, std=2.719, absmax=11.6 +2025-11-04 13:34:06,036 ERROR: Encountered non-finite generator loss at iter 23017; skipping update. +2025-11-04 13:34:06,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:06,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=12.42, mean=-0.1816, std=3.54, absmax=13.48 +2025-11-04 13:34:06,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=12.24, mean=-0.1043, std=3.38, absmax=12.92 +2025-11-04 13:34:06,396 ERROR: Encountered non-finite generator loss at iter 23018; skipping update. +2025-11-04 13:34:06,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:06,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.39, mean=-0.1802, std=2.864, absmax=12.32 +2025-11-04 13:34:06,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=10.73, mean=-0.172, std=2.721, absmax=10.73 +2025-11-04 13:34:06,756 ERROR: Encountered non-finite generator loss at iter 23019; skipping update. +2025-11-04 13:34:06,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:06,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:06,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=13.56, mean=-0.1863, std=3.554, absmax=14.41 +2025-11-04 13:34:06,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=12.22, mean=-0.1721, std=3.308, absmax=12.35 +2025-11-04 13:34:07,116 ERROR: Encountered non-finite generator loss at iter 23020; skipping update. +2025-11-04 13:34:07,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:07,118 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=13.14, mean=-0.2036, std=2.812, absmax=13.14 +2025-11-04 13:34:07,119 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.9, mean=-0.1646, std=2.618, absmax=11.9 +2025-11-04 13:34:07,475 ERROR: Encountered non-finite generator loss at iter 23021; skipping update. +2025-11-04 13:34:07,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:07,478 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=14.66, mean=-0.09379, std=3.267, absmax=14.66 +2025-11-04 13:34:07,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=13.88, mean=-0.08767, std=2.995, absmax=13.88 +2025-11-04 13:34:07,836 ERROR: Encountered non-finite generator loss at iter 23022; skipping update. +2025-11-04 13:34:07,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:07,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:07,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.17, mean=-0.1218, std=2.952, absmax=14.17 +2025-11-04 13:34:07,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=13.76, mean=-0.1359, std=2.656, absmax=13.76 +2025-11-04 13:34:08,196 ERROR: Encountered non-finite generator loss at iter 23023; skipping update. +2025-11-04 13:34:08,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:08,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.04, max=10.86, mean=-0.3, std=2.403, absmax=11.04 +2025-11-04 13:34:08,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=11.03, mean=-0.3237, std=2.314, absmax=11.03 +2025-11-04 13:34:08,556 ERROR: Encountered non-finite generator loss at iter 23024; skipping update. +2025-11-04 13:34:08,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:08,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.52, mean=-0.1638, std=2.732, absmax=13.52 +2025-11-04 13:34:08,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=10.9, mean=-0.1538, std=2.56, absmax=10.9 +2025-11-04 13:34:08,916 ERROR: Encountered non-finite generator loss at iter 23025; skipping update. +2025-11-04 13:34:08,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:08,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:08,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.41, mean=-0.06243, std=2.802, absmax=11.81 +2025-11-04 13:34:08,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.22, mean=-0.05099, std=2.71, absmax=10.9 +2025-11-04 13:34:09,276 ERROR: Encountered non-finite generator loss at iter 23026; skipping update. +2025-11-04 13:34:09,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:09,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.64, mean=-0.2396, std=3.056, absmax=12.93 +2025-11-04 13:34:09,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=10.28, mean=-0.2058, std=2.871, absmax=10.75 +2025-11-04 13:34:09,636 ERROR: Encountered non-finite generator loss at iter 23027; skipping update. +2025-11-04 13:34:09,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:09,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.38, mean=-0.2202, std=3.284, absmax=12.38 +2025-11-04 13:34:09,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=12.3, mean=-0.2097, std=3.104, absmax=12.54 +2025-11-04 13:34:09,996 ERROR: Encountered non-finite generator loss at iter 23028; skipping update. +2025-11-04 13:34:09,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,997 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:09,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:09,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.14, mean=-0.1011, std=2.914, absmax=13.14 +2025-11-04 13:34:09,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.79, mean=-0.08065, std=2.745, absmax=11.79 +2025-11-04 13:34:10,356 ERROR: Encountered non-finite generator loss at iter 23029; skipping update. +2025-11-04 13:34:10,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:10,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:10,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:10,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:10,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=13.32, mean=-0.2883, std=2.928, absmax=13.32 +2025-11-04 13:34:10,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=11.46, mean=-0.3075, std=2.67, absmax=12.55 +2025-11-04 13:34:10,716 ERROR: Encountered non-finite generator loss at iter 23030; skipping update. +2025-11-04 13:34:10,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:10,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:10,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:10,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:10,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=11.63, mean=-0.1069, std=3.084, absmax=12.1 +2025-11-04 13:34:10,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=10.31, mean=-0.09694, std=2.89, absmax=11.99 +2025-11-04 13:34:11,074 ERROR: Encountered non-finite generator loss at iter 23031; skipping update. +2025-11-04 13:34:11,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:11,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.24, mean=-0.2208, std=3.461, absmax=14.24 +2025-11-04 13:34:11,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=13.06, mean=-0.1844, std=3.171, absmax=13.06 +2025-11-04 13:34:11,434 ERROR: Encountered non-finite generator loss at iter 23032; skipping update. +2025-11-04 13:34:11,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:11,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=11.84, mean=-0.1308, std=2.912, absmax=11.84 +2025-11-04 13:34:11,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.733, max=10.65, mean=-0.09469, std=2.653, absmax=10.65 +2025-11-04 13:34:11,793 ERROR: Encountered non-finite generator loss at iter 23033; skipping update. +2025-11-04 13:34:11,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,795 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:11,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:11,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.55, mean=-0.09078, std=3.154, absmax=13.55 +2025-11-04 13:34:11,797 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=13.14, mean=-0.07117, std=2.98, absmax=13.14 +2025-11-04 13:34:12,153 ERROR: Encountered non-finite generator loss at iter 23034; skipping update. +2025-11-04 13:34:12,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:12,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.64, max=13.91, mean=-0.2023, std=2.992, absmax=16.64 +2025-11-04 13:34:12,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.33, max=12.31, mean=-0.1554, std=2.765, absmax=13.33 +2025-11-04 13:34:12,514 ERROR: Encountered non-finite generator loss at iter 23035; skipping update. +2025-11-04 13:34:12,514 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,515 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,515 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:12,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.58, mean=-0.1609, std=2.89, absmax=13.57 +2025-11-04 13:34:12,517 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=11.72, mean=-0.1438, std=2.934, absmax=12.39 +2025-11-04 13:34:12,873 ERROR: Encountered non-finite generator loss at iter 23036; skipping update. +2025-11-04 13:34:12,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:12,876 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:12,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.02, mean=-0.1936, std=2.939, absmax=13.35 +2025-11-04 13:34:12,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=12.19, mean=-0.1963, std=2.714, absmax=12.19 +2025-11-04 13:34:13,234 ERROR: Encountered non-finite generator loss at iter 23037; skipping update. +2025-11-04 13:34:13,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,236 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:13,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=17.67, mean=-0.1657, std=2.859, absmax=17.67 +2025-11-04 13:34:13,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=15.03, mean=-0.1885, std=2.662, absmax=15.03 +2025-11-04 13:34:13,594 ERROR: Encountered non-finite generator loss at iter 23038; skipping update. +2025-11-04 13:34:13,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:13,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=13.79, mean=-0.4498, std=3.4, absmax=13.85 +2025-11-04 13:34:13,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.88, max=12.83, mean=-0.3721, std=3.154, absmax=13.88 +2025-11-04 13:34:13,955 ERROR: Encountered non-finite generator loss at iter 23039; skipping update. +2025-11-04 13:34:13,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:13,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:13,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.97, mean=-0.1973, std=2.781, absmax=12.97 +2025-11-04 13:34:13,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=12.06, mean=-0.1664, std=2.6, absmax=12.06 +2025-11-04 13:34:14,315 ERROR: Encountered non-finite generator loss at iter 23040; skipping update. +2025-11-04 13:34:14,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:14,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:14,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:14,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:14,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.99, mean=-0.1471, std=2.916, absmax=12.27 +2025-11-04 13:34:14,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=10.71, mean=-0.1414, std=2.656, absmax=12.74 +2025-11-04 13:34:14,675 ERROR: Encountered non-finite generator loss at iter 23041; skipping update. +2025-11-04 13:34:14,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:14,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:14,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:14,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:14,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=12.55, mean=-0.2623, std=3.896, absmax=15.29 +2025-11-04 13:34:14,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=11.77, mean=-0.2828, std=3.639, absmax=13.47 +2025-11-04 13:34:15,035 ERROR: Encountered non-finite generator loss at iter 23042; skipping update. +2025-11-04 13:34:15,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:15,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=12.06, mean=-0.02892, std=2.754, absmax=12.06 +2025-11-04 13:34:15,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.921, max=11.64, mean=-0.01146, std=2.664, absmax=11.64 +2025-11-04 13:34:15,396 ERROR: Encountered non-finite generator loss at iter 23043; skipping update. +2025-11-04 13:34:15,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:15,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.69, mean=-0.1744, std=3.115, absmax=12.22 +2025-11-04 13:34:15,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=9.512, mean=-0.1886, std=2.928, absmax=12.05 +2025-11-04 13:34:15,756 ERROR: Encountered non-finite generator loss at iter 23044; skipping update. +2025-11-04 13:34:15,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:15,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:15,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=13.86, mean=-0.1459, std=2.808, absmax=13.86 +2025-11-04 13:34:15,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.2, mean=-0.1591, std=2.534, absmax=12.2 +2025-11-04 13:34:16,117 ERROR: Encountered non-finite generator loss at iter 23045; skipping update. +2025-11-04 13:34:16,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:16,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=11.9, mean=-0.1401, std=2.916, absmax=13.83 +2025-11-04 13:34:16,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10.68, mean=-0.09311, std=2.714, absmax=11.35 +2025-11-04 13:34:16,477 ERROR: Encountered non-finite generator loss at iter 23046; skipping update. +2025-11-04 13:34:16,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:16,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.48, mean=-0.09449, std=2.862, absmax=12.48 +2025-11-04 13:34:16,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=11.61, mean=-0.1152, std=2.58, absmax=11.61 +2025-11-04 13:34:16,838 ERROR: Encountered non-finite generator loss at iter 23047; skipping update. +2025-11-04 13:34:16,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:16,840 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:16,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.29, mean=-0.07714, std=3.594, absmax=13.29 +2025-11-04 13:34:16,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.47, mean=-0.1129, std=3.298, absmax=12.47 +2025-11-04 13:34:17,198 ERROR: Encountered non-finite generator loss at iter 23048; skipping update. +2025-11-04 13:34:17,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,201 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:17,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.9, mean=-0.242, std=3.015, absmax=12.9 +2025-11-04 13:34:17,202 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=10.96, mean=-0.2367, std=2.896, absmax=10.96 +2025-11-04 13:34:17,559 ERROR: Encountered non-finite generator loss at iter 23049; skipping update. +2025-11-04 13:34:17,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:17,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=15.42, mean=-0.1228, std=3.434, absmax=15.42 +2025-11-04 13:34:17,563 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=15.34, mean=-0.1171, std=3.236, absmax=15.34 +2025-11-04 13:34:17,920 ERROR: Encountered non-finite generator loss at iter 23050; skipping update. +2025-11-04 13:34:17,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:17,922 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:17,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=9.855, mean=-0.2515, std=2.958, absmax=13.83 +2025-11-04 13:34:17,923 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=9.478, mean=-0.2505, std=2.787, absmax=11.93 +2025-11-04 13:34:18,280 ERROR: Encountered non-finite generator loss at iter 23051; skipping update. +2025-11-04 13:34:18,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:18,282 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:18,282 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:18,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:18,283 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=12.06, mean=-0.1317, std=2.911, absmax=12.06 +2025-11-04 13:34:18,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=10.35, mean=-0.09416, std=2.726, absmax=10.95 +2025-11-04 13:34:18,641 ERROR: Encountered non-finite generator loss at iter 23052; skipping update. +2025-11-04 13:34:18,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:18,642 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:18,642 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:18,643 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:18,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.69, mean=-0.07933, std=3.041, absmax=14.69 +2025-11-04 13:34:18,644 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=12.84, mean=-0.04494, std=2.804, absmax=13.02 +2025-11-04 13:34:19,001 ERROR: Encountered non-finite generator loss at iter 23053; skipping update. +2025-11-04 13:34:19,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,003 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:19,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.72, mean=0.05892, std=3.403, absmax=13.72 +2025-11-04 13:34:19,004 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.28, mean=0.07661, std=3.169, absmax=11.18 +2025-11-04 13:34:19,361 ERROR: Encountered non-finite generator loss at iter 23054; skipping update. +2025-11-04 13:34:19,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,363 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:19,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.06, mean=-0.009864, std=3.249, absmax=13.06 +2025-11-04 13:34:19,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=13.37, mean=0.00914, std=3.01, absmax=13.37 +2025-11-04 13:34:19,722 ERROR: Encountered non-finite generator loss at iter 23055; skipping update. +2025-11-04 13:34:19,723 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,724 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,724 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:19,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:19,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=13.85, mean=-0.2468, std=2.788, absmax=13.85 +2025-11-04 13:34:19,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=12.12, mean=-0.2431, std=2.562, absmax=12.12 +2025-11-04 13:34:20,083 ERROR: Encountered non-finite generator loss at iter 23056; skipping update. +2025-11-04 13:34:20,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:20,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=13.98, mean=-0.04957, std=3.773, absmax=15.1 +2025-11-04 13:34:20,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=13.03, mean=-0.01725, std=3.538, absmax=13.03 +2025-11-04 13:34:20,444 ERROR: Encountered non-finite generator loss at iter 23057; skipping update. +2025-11-04 13:34:20,445 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,446 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,446 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:20,447 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.49, max=12.41, mean=-0.1828, std=2.859, absmax=15.49 +2025-11-04 13:34:20,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.35, mean=-0.1885, std=2.614, absmax=12.37 +2025-11-04 13:34:20,805 ERROR: Encountered non-finite generator loss at iter 23058; skipping update. +2025-11-04 13:34:20,806 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,807 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:20,807 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:20,808 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.44, mean=-0.1607, std=2.4, absmax=11.95 +2025-11-04 13:34:20,808 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.032, max=9.623, mean=-0.1574, std=2.221, absmax=9.623 +2025-11-04 13:34:21,165 ERROR: Encountered non-finite generator loss at iter 23059; skipping update. +2025-11-04 13:34:21,166 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,167 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,167 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:21,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=14.25, mean=-0.007496, std=3.382, absmax=14.25 +2025-11-04 13:34:21,169 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.4, max=13.38, mean=0.02396, std=3.312, absmax=14.4 +2025-11-04 13:34:21,526 ERROR: Encountered non-finite generator loss at iter 23060; skipping update. +2025-11-04 13:34:21,527 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,529 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,529 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:21,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.06, mean=0.002265, std=3.206, absmax=13.06 +2025-11-04 13:34:21,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.65, mean=0.05498, std=2.952, absmax=11.65 +2025-11-04 13:34:21,887 ERROR: Encountered non-finite generator loss at iter 23061; skipping update. +2025-11-04 13:34:21,888 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:21,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:21,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=16.56, mean=-0.2037, std=2.706, absmax=16.56 +2025-11-04 13:34:21,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=14.76, mean=-0.1897, std=2.525, absmax=14.76 +2025-11-04 13:34:22,248 ERROR: Encountered non-finite generator loss at iter 23062; skipping update. +2025-11-04 13:34:22,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:22,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.9, mean=0.1929, std=3.366, absmax=12.97 +2025-11-04 13:34:22,252 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=11.7, mean=0.2145, std=3.213, absmax=12.24 +2025-11-04 13:34:22,611 ERROR: Encountered non-finite generator loss at iter 23063; skipping update. +2025-11-04 13:34:22,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:22,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=11.04, mean=-0.1709, std=3.257, absmax=14.63 +2025-11-04 13:34:22,614 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.64, max=11.11, mean=-0.1907, std=3.142, absmax=14.64 +2025-11-04 13:34:22,971 ERROR: Encountered non-finite generator loss at iter 23064; skipping update. +2025-11-04 13:34:22,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:22,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:22,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=16.46, mean=-0.1463, std=2.556, absmax=16.46 +2025-11-04 13:34:22,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=14.36, mean=-0.1372, std=2.386, absmax=14.36 +2025-11-04 13:34:23,332 ERROR: Encountered non-finite generator loss at iter 23065; skipping update. +2025-11-04 13:34:23,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:23,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:23,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:23,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:23,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.67, mean=-0.04102, std=2.84, absmax=13 +2025-11-04 13:34:23,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=12.45, mean=-0.03031, std=2.641, absmax=12.57 +2025-11-04 13:34:23,693 ERROR: Encountered non-finite generator loss at iter 23066; skipping update. +2025-11-04 13:34:23,694 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:23,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:23,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:23,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:23,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.53, mean=-0.05858, std=2.948, absmax=14.53 +2025-11-04 13:34:23,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=13.01, mean=-0.03976, std=2.729, absmax=13.01 +2025-11-04 13:34:24,054 ERROR: Encountered non-finite generator loss at iter 23067; skipping update. +2025-11-04 13:34:24,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:24,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=15.63, mean=-0.1191, std=2.748, absmax=15.63 +2025-11-04 13:34:24,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=11.8, mean=-0.1574, std=2.531, absmax=11.8 +2025-11-04 13:34:24,415 ERROR: Encountered non-finite generator loss at iter 23068; skipping update. +2025-11-04 13:34:24,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,417 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:24,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=11.09, mean=-0.2953, std=2.845, absmax=14.21 +2025-11-04 13:34:24,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=10.82, mean=-0.2826, std=2.619, absmax=12.79 +2025-11-04 13:34:24,775 ERROR: Encountered non-finite generator loss at iter 23069; skipping update. +2025-11-04 13:34:24,776 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:24,777 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:24,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=16.37, mean=-0.1266, std=3.092, absmax=16.37 +2025-11-04 13:34:24,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=15.36, mean=-0.1257, std=2.759, absmax=15.36 +2025-11-04 13:34:25,136 ERROR: Encountered non-finite generator loss at iter 23070; skipping update. +2025-11-04 13:34:25,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:25,139 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.78, mean=-0.2524, std=3.429, absmax=13.06 +2025-11-04 13:34:25,140 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.25, mean=-0.2232, std=3.144, absmax=11.25 +2025-11-04 13:34:25,496 ERROR: Encountered non-finite generator loss at iter 23071; skipping update. +2025-11-04 13:34:25,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,498 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:25,499 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.2, max=12.15, mean=-0.04581, std=2.794, absmax=16.2 +2025-11-04 13:34:25,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=10.68, mean=-0.05323, std=2.52, absmax=12.44 +2025-11-04 13:34:25,857 ERROR: Encountered non-finite generator loss at iter 23072; skipping update. +2025-11-04 13:34:25,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,860 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:25,860 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:25,861 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.39, mean=-0.1888, std=2.968, absmax=13.39 +2025-11-04 13:34:25,861 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=11.91, mean=-0.22, std=2.717, absmax=11.91 +2025-11-04 13:34:26,219 ERROR: Encountered non-finite generator loss at iter 23073; skipping update. +2025-11-04 13:34:26,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:26,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.64, mean=-0.1802, std=3.327, absmax=13.64 +2025-11-04 13:34:26,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=12.08, mean=-0.1563, std=3.104, absmax=13.17 +2025-11-04 13:34:26,580 ERROR: Encountered non-finite generator loss at iter 23074; skipping update. +2025-11-04 13:34:26,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,582 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:26,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.79, mean=-0.1324, std=3.327, absmax=13.79 +2025-11-04 13:34:26,583 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.48, mean=-0.1373, std=3.069, absmax=12.48 +2025-11-04 13:34:26,941 ERROR: Encountered non-finite generator loss at iter 23075; skipping update. +2025-11-04 13:34:26,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:26,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:26,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=12.59, mean=-0.2483, std=3.224, absmax=13.77 +2025-11-04 13:34:26,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=12, mean=-0.2164, std=3.089, absmax=12.93 +2025-11-04 13:34:27,302 ERROR: Encountered non-finite generator loss at iter 23076; skipping update. +2025-11-04 13:34:27,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:27,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:27,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:27,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:27,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.04, mean=-0.06054, std=3.018, absmax=12.25 +2025-11-04 13:34:27,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.78, mean=-0.04057, std=2.964, absmax=11.78 +2025-11-04 13:34:27,663 ERROR: Encountered non-finite generator loss at iter 23077; skipping update. +2025-11-04 13:34:27,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:27,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:27,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:27,665 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:27,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.39, mean=0.02703, std=3.14, absmax=14.17 +2025-11-04 13:34:27,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=12.26, mean=0.02403, std=2.878, absmax=12.26 +2025-11-04 13:34:28,024 ERROR: Encountered non-finite generator loss at iter 23078; skipping update. +2025-11-04 13:34:28,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:28,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=16.17, mean=-0.01635, std=3.174, absmax=16.17 +2025-11-04 13:34:28,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=13.09, mean=-0.01013, std=2.922, absmax=13.09 +2025-11-04 13:34:28,385 ERROR: Encountered non-finite generator loss at iter 23079; skipping update. +2025-11-04 13:34:28,386 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:28,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.94, mean=-0.144, std=2.803, absmax=12.94 +2025-11-04 13:34:28,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=11.47, mean=-0.1271, std=2.651, absmax=11.47 +2025-11-04 13:34:28,746 ERROR: Encountered non-finite generator loss at iter 23080; skipping update. +2025-11-04 13:34:28,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:28,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:28,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.15, mean=-0.09771, std=2.966, absmax=12.88 +2025-11-04 13:34:28,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=10.69, mean=-0.1236, std=2.721, absmax=12.29 +2025-11-04 13:34:29,107 ERROR: Encountered non-finite generator loss at iter 23081; skipping update. +2025-11-04 13:34:29,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:29,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=13.54, mean=-0.1392, std=2.611, absmax=13.54 +2025-11-04 13:34:29,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.92, mean=-0.1518, std=2.496, absmax=12.02 +2025-11-04 13:34:29,467 ERROR: Encountered non-finite generator loss at iter 23082; skipping update. +2025-11-04 13:34:29,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:29,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=14.89, mean=0.0275, std=3.152, absmax=14.89 +2025-11-04 13:34:29,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=13.66, mean=0.03466, std=2.941, absmax=13.66 +2025-11-04 13:34:29,828 ERROR: Encountered non-finite generator loss at iter 23083; skipping update. +2025-11-04 13:34:29,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:29,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:29,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.75, mean=-0.05886, std=3.241, absmax=12.2 +2025-11-04 13:34:29,831 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=11.87, mean=-0.03399, std=3.136, absmax=12.49 +2025-11-04 13:34:30,188 ERROR: Encountered non-finite generator loss at iter 23084; skipping update. +2025-11-04 13:34:30,189 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,190 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,190 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:30,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.91, mean=-0.1843, std=3.102, absmax=13.24 +2025-11-04 13:34:30,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=9.672, mean=-0.1469, std=2.813, absmax=12.4 +2025-11-04 13:34:30,548 ERROR: Encountered non-finite generator loss at iter 23085; skipping update. +2025-11-04 13:34:30,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,550 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:30,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=10.34, mean=-0.2744, std=2.572, absmax=11.69 +2025-11-04 13:34:30,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=10.37, mean=-0.257, std=2.37, absmax=10.37 +2025-11-04 13:34:30,908 ERROR: Encountered non-finite generator loss at iter 23086; skipping update. +2025-11-04 13:34:30,909 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:30,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:30,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=15.96, mean=-0.149, std=3.308, absmax=15.96 +2025-11-04 13:34:30,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.83, max=13.68, mean=-0.1764, std=3.073, absmax=13.83 +2025-11-04 13:34:31,268 ERROR: Encountered non-finite generator loss at iter 23087; skipping update. +2025-11-04 13:34:31,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,270 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,270 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:31,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=14.24, mean=-0.3499, std=2.953, absmax=14.24 +2025-11-04 13:34:31,271 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.08, mean=-0.335, std=2.712, absmax=11.76 +2025-11-04 13:34:31,628 ERROR: Encountered non-finite generator loss at iter 23088; skipping update. +2025-11-04 13:34:31,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:31,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.73, mean=-0.2356, std=2.609, absmax=13.02 +2025-11-04 13:34:31,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=12.89, mean=-0.2102, std=2.455, absmax=12.89 +2025-11-04 13:34:31,988 ERROR: Encountered non-finite generator loss at iter 23089; skipping update. +2025-11-04 13:34:31,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:31,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:31,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=15.11, mean=0.07779, std=3.354, absmax=15.11 +2025-11-04 13:34:31,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.973, max=14.6, mean=0.08766, std=3.143, absmax=14.6 +2025-11-04 13:34:32,348 ERROR: Encountered non-finite generator loss at iter 23090; skipping update. +2025-11-04 13:34:32,349 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:32,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:32,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:32,350 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:32,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=13.36, mean=-0.2798, std=2.986, absmax=14.58 +2025-11-04 13:34:32,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=11.7, mean=-0.2896, std=2.794, absmax=13.12 +2025-11-04 13:34:32,708 ERROR: Encountered non-finite generator loss at iter 23091; skipping update. +2025-11-04 13:34:32,709 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:32,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:32,710 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:32,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:32,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.44, mean=0.03739, std=3.598, absmax=14.44 +2025-11-04 13:34:32,712 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=13.56, mean=0.06962, std=3.376, absmax=13.56 +2025-11-04 13:34:33,068 ERROR: Encountered non-finite generator loss at iter 23092; skipping update. +2025-11-04 13:34:33,069 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,070 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:33,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.14, max=13.54, mean=-0.158, std=3.185, absmax=18.14 +2025-11-04 13:34:33,071 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.96, max=13.19, mean=-0.1694, std=2.86, absmax=13.96 +2025-11-04 13:34:33,428 ERROR: Encountered non-finite generator loss at iter 23093; skipping update. +2025-11-04 13:34:33,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,430 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:33,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.07, mean=-0.06333, std=2.771, absmax=12.66 +2025-11-04 13:34:33,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=11.51, mean=-0.01491, std=2.75, absmax=11.51 +2025-11-04 13:34:33,788 ERROR: Encountered non-finite generator loss at iter 23094; skipping update. +2025-11-04 13:34:33,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:33,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:33,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.39, mean=-0.2019, std=2.651, absmax=14.39 +2025-11-04 13:34:33,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=12.04, mean=-0.1822, std=2.42, absmax=12.54 +2025-11-04 13:34:34,148 ERROR: Encountered non-finite generator loss at iter 23095; skipping update. +2025-11-04 13:34:34,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,151 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:34,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.58, mean=-0.1414, std=2.711, absmax=12.58 +2025-11-04 13:34:34,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.73, mean=-0.1129, std=2.488, absmax=11.73 +2025-11-04 13:34:34,508 ERROR: Encountered non-finite generator loss at iter 23096; skipping update. +2025-11-04 13:34:34,509 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,510 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,510 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:34,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=11.59, mean=-0.0602, std=2.84, absmax=13.38 +2025-11-04 13:34:34,512 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=11.74, mean=-0.04181, std=2.745, absmax=13.46 +2025-11-04 13:34:34,868 ERROR: Encountered non-finite generator loss at iter 23097; skipping update. +2025-11-04 13:34:34,869 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,870 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:34,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:34,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=12.63, mean=-0.2649, std=3.284, absmax=14.22 +2025-11-04 13:34:34,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=12.08, mean=-0.2603, std=2.995, absmax=12.08 +2025-11-04 13:34:35,228 ERROR: Encountered non-finite generator loss at iter 23098; skipping update. +2025-11-04 13:34:35,229 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,230 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,230 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:35,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.34, mean=-0.1392, std=3.12, absmax=12.76 +2025-11-04 13:34:35,231 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=9.746, mean=-0.1869, std=2.963, absmax=13.07 +2025-11-04 13:34:35,588 ERROR: Encountered non-finite generator loss at iter 23099; skipping update. +2025-11-04 13:34:35,588 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,589 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,590 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:35,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=12.8, mean=-0.2061, std=2.661, absmax=12.8 +2025-11-04 13:34:35,591 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=11.92, mean=-0.2034, std=2.407, absmax=11.92 +2025-11-04 13:34:35,948 ERROR: Encountered non-finite generator loss at iter 23100; skipping update. +2025-11-04 13:34:35,949 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,950 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:35,950 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:35,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.06, mean=-0.2342, std=3.03, absmax=14.06 +2025-11-04 13:34:35,951 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=10.37, mean=-0.2199, std=2.71, absmax=11.25 +2025-11-04 13:34:35,952 INFO: [38..][epoch: 0, step: 23,100, lr:(2.000e-04,)] [eta: 1 day, 5:03:58, time (data): 0.360 (0.000)] +2025-11-04 13:34:36,309 ERROR: Encountered non-finite generator loss at iter 23101; skipping update. +2025-11-04 13:34:36,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:36,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:36,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:36,312 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:36,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=17.46, mean=-0.2739, std=3.031, absmax=17.46 +2025-11-04 13:34:36,313 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=13.6, mean=-0.2424, std=2.869, absmax=13.6 +2025-11-04 13:34:36,670 ERROR: Encountered non-finite generator loss at iter 23102; skipping update. +2025-11-04 13:34:36,671 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:36,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:36,672 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:36,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:36,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=16.27, mean=-0.005202, std=3.417, absmax=16.27 +2025-11-04 13:34:36,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=13.15, mean=-0.01067, std=3.095, absmax=13.15 +2025-11-04 13:34:37,031 ERROR: Encountered non-finite generator loss at iter 23103; skipping update. +2025-11-04 13:34:37,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:37,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.57, mean=-0.09254, std=3.461, absmax=13.47 +2025-11-04 13:34:37,034 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=11.72, mean=-0.07583, std=3.146, absmax=12.13 +2025-11-04 13:34:37,391 ERROR: Encountered non-finite generator loss at iter 23104; skipping update. +2025-11-04 13:34:37,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:37,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=11.82, mean=-0.2052, std=2.797, absmax=11.82 +2025-11-04 13:34:37,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=9.607, mean=-0.2132, std=2.601, absmax=10.51 +2025-11-04 13:34:37,752 ERROR: Encountered non-finite generator loss at iter 23105; skipping update. +2025-11-04 13:34:37,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:37,754 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:37,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=14.28, mean=-0.19, std=3.147, absmax=14.28 +2025-11-04 13:34:37,755 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=12.55, mean=-0.1953, std=2.855, absmax=12.55 +2025-11-04 13:34:38,112 ERROR: Encountered non-finite generator loss at iter 23106; skipping update. +2025-11-04 13:34:38,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:38,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.22, mean=-0.0574, std=3.407, absmax=13.22 +2025-11-04 13:34:38,115 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.37, mean=-0.05532, std=3.135, absmax=12.37 +2025-11-04 13:34:38,472 ERROR: Encountered non-finite generator loss at iter 23107; skipping update. +2025-11-04 13:34:38,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:38,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.58, mean=-0.2014, std=3.02, absmax=13.14 +2025-11-04 13:34:38,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=11.3, mean=-0.2315, std=2.769, absmax=12.04 +2025-11-04 13:34:38,832 ERROR: Encountered non-finite generator loss at iter 23108; skipping update. +2025-11-04 13:34:38,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,833 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:38,834 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:38,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=10.87, mean=-0.1301, std=2.903, absmax=11.62 +2025-11-04 13:34:38,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=9.856, mean=-0.1292, std=2.683, absmax=12.77 +2025-11-04 13:34:39,192 ERROR: Encountered non-finite generator loss at iter 23109; skipping update. +2025-11-04 13:34:39,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,193 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:39,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.5, mean=-0.1237, std=2.94, absmax=12.5 +2025-11-04 13:34:39,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=11.52, mean=-0.1529, std=2.744, absmax=11.98 +2025-11-04 13:34:39,551 ERROR: Encountered non-finite generator loss at iter 23110; skipping update. +2025-11-04 13:34:39,552 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,553 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,553 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:39,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=11.42, mean=-0.2358, std=2.778, absmax=13.85 +2025-11-04 13:34:39,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=9.936, mean=-0.2848, std=2.537, absmax=11.97 +2025-11-04 13:34:39,911 ERROR: Encountered non-finite generator loss at iter 23111; skipping update. +2025-11-04 13:34:39,912 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,913 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:39,914 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:39,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.52, mean=-0.1614, std=2.622, absmax=11.74 +2025-11-04 13:34:39,915 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=10.14, mean=-0.2143, std=2.389, absmax=10.89 +2025-11-04 13:34:40,271 ERROR: Encountered non-finite generator loss at iter 23112; skipping update. +2025-11-04 13:34:40,272 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:40,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=15.42, mean=0.3743, std=4.063, absmax=15.42 +2025-11-04 13:34:40,275 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=14.31, mean=0.382, std=3.796, absmax=14.31 +2025-11-04 13:34:40,632 ERROR: Encountered non-finite generator loss at iter 23113; skipping update. +2025-11-04 13:34:40,633 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:40,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=10.51, mean=-0.2914, std=3.204, absmax=12.56 +2025-11-04 13:34:40,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=9.158, mean=-0.2779, std=3.089, absmax=11.9 +2025-11-04 13:34:40,992 ERROR: Encountered non-finite generator loss at iter 23114; skipping update. +2025-11-04 13:34:40,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:40,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:40,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.51, mean=-0.09266, std=3.176, absmax=13.51 +2025-11-04 13:34:40,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.65, mean=-0.1082, std=2.913, absmax=11.65 +2025-11-04 13:34:41,352 ERROR: Encountered non-finite generator loss at iter 23115; skipping update. +2025-11-04 13:34:41,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:41,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:41,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:41,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:41,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.3, mean=-0.153, std=2.95, absmax=12.9 +2025-11-04 13:34:41,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.86, mean=-0.1712, std=2.757, absmax=11.86 +2025-11-04 13:34:41,712 ERROR: Encountered non-finite generator loss at iter 23116; skipping update. +2025-11-04 13:34:41,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:41,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:41,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:41,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:41,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.47, mean=-0.31, std=2.697, absmax=12.51 +2025-11-04 13:34:41,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=9.107, mean=-0.2805, std=2.622, absmax=10.98 +2025-11-04 13:34:42,073 ERROR: Encountered non-finite generator loss at iter 23117; skipping update. +2025-11-04 13:34:42,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,075 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:42,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.39, mean=-0.07315, std=2.986, absmax=13.39 +2025-11-04 13:34:42,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=13.55, mean=-0.02641, std=2.872, absmax=13.55 +2025-11-04 13:34:42,434 ERROR: Encountered non-finite generator loss at iter 23118; skipping update. +2025-11-04 13:34:42,436 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,436 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,437 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,437 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:42,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=16.13, mean=-0.2902, std=2.979, absmax=16.13 +2025-11-04 13:34:42,438 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=14.54, mean=-0.2715, std=2.754, absmax=14.54 +2025-11-04 13:34:42,796 ERROR: Encountered non-finite generator loss at iter 23119; skipping update. +2025-11-04 13:34:42,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:42,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:42,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=12.11, mean=-0.1633, std=3.025, absmax=12.11 +2025-11-04 13:34:42,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=12.03, mean=-0.1499, std=2.721, absmax=12.03 +2025-11-04 13:34:43,157 ERROR: Encountered non-finite generator loss at iter 23120; skipping update. +2025-11-04 13:34:43,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:43,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=14.94, mean=-0.2089, std=3.126, absmax=14.94 +2025-11-04 13:34:43,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=14.43, mean=-0.1895, std=2.828, absmax=14.43 +2025-11-04 13:34:43,517 ERROR: Encountered non-finite generator loss at iter 23121; skipping update. +2025-11-04 13:34:43,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:43,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=11.64, mean=-0.1962, std=2.926, absmax=13.79 +2025-11-04 13:34:43,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.82, max=10.52, mean=-0.2053, std=2.745, absmax=13.82 +2025-11-04 13:34:43,878 ERROR: Encountered non-finite generator loss at iter 23122; skipping update. +2025-11-04 13:34:43,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:43,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:43,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=17.18, mean=0.03476, std=3.934, absmax=17.18 +2025-11-04 13:34:43,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=16.56, mean=0.04172, std=3.685, absmax=16.56 +2025-11-04 13:34:44,239 ERROR: Encountered non-finite generator loss at iter 23123; skipping update. +2025-11-04 13:34:44,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:44,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.71, mean=-0.002036, std=2.992, absmax=12.71 +2025-11-04 13:34:44,243 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=12.12, mean=-0.008095, std=2.695, absmax=12.12 +2025-11-04 13:34:44,600 ERROR: Encountered non-finite generator loss at iter 23124; skipping update. +2025-11-04 13:34:44,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:44,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=15.91, mean=0.06179, std=3.725, absmax=15.91 +2025-11-04 13:34:44,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.57, max=14.6, mean=0.07692, std=3.502, absmax=14.6 +2025-11-04 13:34:44,961 ERROR: Encountered non-finite generator loss at iter 23125; skipping update. +2025-11-04 13:34:44,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:44,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:44,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.86, mean=-0.2616, std=3.193, absmax=13.86 +2025-11-04 13:34:44,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=11.59, mean=-0.2821, std=2.958, absmax=12.82 +2025-11-04 13:34:45,322 ERROR: Encountered non-finite generator loss at iter 23126; skipping update. +2025-11-04 13:34:45,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:45,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:45,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:45,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:45,325 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.7, max=15.71, mean=-0.1131, std=2.604, absmax=15.71 +2025-11-04 13:34:45,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=14.31, mean=-0.114, std=2.504, absmax=14.31 +2025-11-04 13:34:45,682 ERROR: Encountered non-finite generator loss at iter 23127; skipping update. +2025-11-04 13:34:45,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:45,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:45,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:45,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:45,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.37, max=14.05, mean=-0.3373, std=3.649, absmax=14.37 +2025-11-04 13:34:45,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=12.49, mean=-0.3262, std=3.363, absmax=12.49 +2025-11-04 13:34:46,043 ERROR: Encountered non-finite generator loss at iter 23128; skipping update. +2025-11-04 13:34:46,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,046 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:46,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=11.84, mean=-0.266, std=2.591, absmax=11.84 +2025-11-04 13:34:46,047 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=10.75, mean=-0.2594, std=2.466, absmax=11.07 +2025-11-04 13:34:46,404 ERROR: Encountered non-finite generator loss at iter 23129; skipping update. +2025-11-04 13:34:46,406 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,406 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,406 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,407 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:46,407 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.71, mean=-0.09007, std=3.182, absmax=13.09 +2025-11-04 13:34:46,408 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.45, mean=-0.0774, std=2.801, absmax=11.65 +2025-11-04 13:34:46,765 ERROR: Encountered non-finite generator loss at iter 23130; skipping update. +2025-11-04 13:34:46,766 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,767 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,767 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:46,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:46,768 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=10.41, mean=-0.1094, std=2.7, absmax=11.41 +2025-11-04 13:34:46,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=11, mean=-0.08584, std=2.532, absmax=11 +2025-11-04 13:34:47,126 ERROR: Encountered non-finite generator loss at iter 23131; skipping update. +2025-11-04 13:34:47,127 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,128 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,128 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:47,129 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.72, max=16.03, mean=-0.05561, std=2.982, absmax=16.03 +2025-11-04 13:34:47,129 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.887, max=14.73, mean=-0.08483, std=2.746, absmax=14.73 +2025-11-04 13:34:47,486 ERROR: Encountered non-finite generator loss at iter 23132; skipping update. +2025-11-04 13:34:47,487 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,488 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,488 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,488 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:47,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=12.64, mean=-0.2086, std=3.313, absmax=13.32 +2025-11-04 13:34:47,490 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.89, mean=-0.2237, std=3.079, absmax=12.89 +2025-11-04 13:34:47,847 ERROR: Encountered non-finite generator loss at iter 23133; skipping update. +2025-11-04 13:34:47,848 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,848 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,849 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:47,849 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:47,849 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=12.81, mean=-0.2151, std=2.99, absmax=12.81 +2025-11-04 13:34:47,850 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=11.94, mean=-0.1998, std=2.742, absmax=12.84 +2025-11-04 13:34:48,206 ERROR: Encountered non-finite generator loss at iter 23134; skipping update. +2025-11-04 13:34:48,207 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,208 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,209 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:48,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=15.54, mean=0.03579, std=3.993, absmax=15.54 +2025-11-04 13:34:48,210 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=15.24, mean=-0.006866, std=3.855, absmax=15.24 +2025-11-04 13:34:48,567 ERROR: Encountered non-finite generator loss at iter 23135; skipping update. +2025-11-04 13:34:48,568 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,569 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,569 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:48,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=14.19, mean=-0.2232, std=2.63, absmax=14.19 +2025-11-04 13:34:48,570 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=12.32, mean=-0.2316, std=2.508, absmax=12.32 +2025-11-04 13:34:48,927 ERROR: Encountered non-finite generator loss at iter 23136; skipping update. +2025-11-04 13:34:48,928 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:48,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:48,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=14.02, mean=-0.1122, std=3.458, absmax=14.02 +2025-11-04 13:34:48,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=14.21, mean=-0.1332, std=3.437, absmax=14.21 +2025-11-04 13:34:49,288 ERROR: Encountered non-finite generator loss at iter 23137; skipping update. +2025-11-04 13:34:49,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:49,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:49,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:49,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:49,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=12.01, mean=-0.08784, std=3.217, absmax=13.93 +2025-11-04 13:34:49,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=9.802, mean=-0.1443, std=2.968, absmax=12.6 +2025-11-04 13:34:49,649 ERROR: Encountered non-finite generator loss at iter 23138; skipping update. +2025-11-04 13:34:49,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:49,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:49,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:49,651 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:49,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.66, mean=-0.1495, std=3.51, absmax=14.66 +2025-11-04 13:34:49,652 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=13.34, mean=-0.1359, std=3.315, absmax=13.34 +2025-11-04 13:34:50,009 ERROR: Encountered non-finite generator loss at iter 23139; skipping update. +2025-11-04 13:34:50,010 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,011 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,012 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:50,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=15.13, mean=-0.2614, std=3.382, absmax=15.13 +2025-11-04 13:34:50,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=12.5, mean=-0.245, std=3.127, absmax=12.5 +2025-11-04 13:34:50,370 ERROR: Encountered non-finite generator loss at iter 23140; skipping update. +2025-11-04 13:34:50,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:50,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.36, mean=-0.3144, std=2.97, absmax=14.36 +2025-11-04 13:34:50,374 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=13.14, mean=-0.3023, std=2.873, absmax=13.14 +2025-11-04 13:34:50,731 ERROR: Encountered non-finite generator loss at iter 23141; skipping update. +2025-11-04 13:34:50,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:50,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:50,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=10.28, mean=-0.2505, std=2.957, absmax=12.77 +2025-11-04 13:34:50,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=9.318, mean=-0.2506, std=2.798, absmax=11.47 +2025-11-04 13:34:51,090 ERROR: Encountered non-finite generator loss at iter 23142; skipping update. +2025-11-04 13:34:51,091 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,092 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,092 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:51,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=14.19, mean=-0.1078, std=3.408, absmax=14.19 +2025-11-04 13:34:51,093 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=12.83, mean=-0.08094, std=3.19, absmax=12.83 +2025-11-04 13:34:51,450 ERROR: Encountered non-finite generator loss at iter 23143; skipping update. +2025-11-04 13:34:51,451 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,452 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:51,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.87, mean=-0.00227, std=3.305, absmax=13.87 +2025-11-04 13:34:51,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=12.61, mean=0.007248, std=3.029, absmax=12.61 +2025-11-04 13:34:51,811 ERROR: Encountered non-finite generator loss at iter 23144; skipping update. +2025-11-04 13:34:51,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:51,814 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:51,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.64, mean=-0.04933, std=3.24, absmax=14.64 +2025-11-04 13:34:51,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.47, mean=-0.08292, std=3.01, absmax=12.47 +2025-11-04 13:34:52,172 ERROR: Encountered non-finite generator loss at iter 23145; skipping update. +2025-11-04 13:34:52,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,174 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:52,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=11.98, mean=-0.2231, std=2.631, absmax=13.1 +2025-11-04 13:34:52,176 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=9.889, mean=-0.2224, std=2.316, absmax=10.81 +2025-11-04 13:34:52,533 ERROR: Encountered non-finite generator loss at iter 23146; skipping update. +2025-11-04 13:34:52,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:52,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.27, max=13.49, mean=-0.2308, std=2.855, absmax=16.27 +2025-11-04 13:34:52,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=13.53, mean=-0.2286, std=2.75, absmax=13.53 +2025-11-04 13:34:52,893 ERROR: Encountered non-finite generator loss at iter 23147; skipping update. +2025-11-04 13:34:52,894 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:52,896 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:52,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.76, mean=-0.2032, std=2.977, absmax=12.76 +2025-11-04 13:34:52,897 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=11.65, mean=-0.2113, std=2.752, absmax=11.65 +2025-11-04 13:34:53,254 ERROR: Encountered non-finite generator loss at iter 23148; skipping update. +2025-11-04 13:34:53,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:53,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=16.02, mean=-0.07775, std=3.047, absmax=16.02 +2025-11-04 13:34:53,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=14.05, mean=-0.07351, std=2.785, absmax=14.05 +2025-11-04 13:34:53,615 ERROR: Encountered non-finite generator loss at iter 23149; skipping update. +2025-11-04 13:34:53,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,617 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:53,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=14.04, mean=-0.01973, std=3.018, absmax=14.04 +2025-11-04 13:34:53,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=11.93, mean=-0.009182, std=2.74, absmax=11.93 +2025-11-04 13:34:53,975 ERROR: Encountered non-finite generator loss at iter 23150; skipping update. +2025-11-04 13:34:53,976 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:53,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:53,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=15.24, mean=-0.0268, std=3.404, absmax=15.24 +2025-11-04 13:34:53,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.85, mean=-0.03371, std=3.21, absmax=12.85 +2025-11-04 13:34:54,337 ERROR: Encountered non-finite generator loss at iter 23151; skipping update. +2025-11-04 13:34:54,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:54,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:54,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:54,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:54,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.29, mean=0.06429, std=3.059, absmax=13.18 +2025-11-04 13:34:54,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=11.52, mean=0.05126, std=2.816, absmax=12.21 +2025-11-04 13:34:54,698 ERROR: Encountered non-finite generator loss at iter 23152; skipping update. +2025-11-04 13:34:54,699 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:54,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:54,700 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:54,700 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:54,701 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=15.05, mean=-0.07251, std=3.418, absmax=15.05 +2025-11-04 13:34:54,701 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=13.7, mean=-0.02966, std=3.291, absmax=13.7 +2025-11-04 13:34:55,059 ERROR: Encountered non-finite generator loss at iter 23153; skipping update. +2025-11-04 13:34:55,060 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,061 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:55,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.24, mean=-0.1762, std=2.77, absmax=12.7 +2025-11-04 13:34:55,062 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=10.4, mean=-0.1687, std=2.552, absmax=11.48 +2025-11-04 13:34:55,419 ERROR: Encountered non-finite generator loss at iter 23154; skipping update. +2025-11-04 13:34:55,420 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,421 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,422 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:55,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=15.59, mean=-0.1123, std=3.256, absmax=15.59 +2025-11-04 13:34:55,423 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.05, max=14.4, mean=-0.09956, std=3.182, absmax=14.4 +2025-11-04 13:34:55,780 ERROR: Encountered non-finite generator loss at iter 23155; skipping update. +2025-11-04 13:34:55,781 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,782 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:55,782 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:55,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=10.66, mean=-0.2359, std=2.689, absmax=12.76 +2025-11-04 13:34:55,783 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=10.11, mean=-0.2489, std=2.496, absmax=11.05 +2025-11-04 13:34:56,141 ERROR: Encountered non-finite generator loss at iter 23156; skipping update. +2025-11-04 13:34:56,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,142 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:56,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.25, mean=-0.1826, std=2.786, absmax=12.72 +2025-11-04 13:34:56,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.61, mean=-0.1447, std=2.657, absmax=11.89 +2025-11-04 13:34:56,501 ERROR: Encountered non-finite generator loss at iter 23157; skipping update. +2025-11-04 13:34:56,502 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:56,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=10.17, mean=-0.2138, std=2.738, absmax=13.48 +2025-11-04 13:34:56,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=10.05, mean=-0.2252, std=2.593, absmax=10.57 +2025-11-04 13:34:56,862 ERROR: Encountered non-finite generator loss at iter 23158; skipping update. +2025-11-04 13:34:56,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:56,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:56,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.43, mean=-0.3378, std=2.899, absmax=13.51 +2025-11-04 13:34:56,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=11.1, mean=-0.3511, std=2.775, absmax=12.85 +2025-11-04 13:34:57,223 ERROR: Encountered non-finite generator loss at iter 23159; skipping update. +2025-11-04 13:34:57,224 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,225 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:57,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.39, mean=-0.1337, std=2.901, absmax=13.39 +2025-11-04 13:34:57,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=10.59, mean=-0.09785, std=2.747, absmax=12.28 +2025-11-04 13:34:57,585 ERROR: Encountered non-finite generator loss at iter 23160; skipping update. +2025-11-04 13:34:57,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,587 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,587 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:57,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=10.8, mean=-0.2048, std=2.473, absmax=11.48 +2025-11-04 13:34:57,588 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=9.063, mean=-0.1847, std=2.352, absmax=10.69 +2025-11-04 13:34:57,946 ERROR: Encountered non-finite generator loss at iter 23161; skipping update. +2025-11-04 13:34:57,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:57,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:57,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=18.57, mean=-0.287, std=2.91, absmax=18.57 +2025-11-04 13:34:57,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=16.27, mean=-0.3468, std=2.834, absmax=16.27 +2025-11-04 13:34:58,306 ERROR: Encountered non-finite generator loss at iter 23162; skipping update. +2025-11-04 13:34:58,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:58,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:58,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:58,309 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:58,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=13.63, mean=-0.114, std=2.591, absmax=14.55 +2025-11-04 13:34:58,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=10.55, mean=-0.1175, std=2.416, absmax=12.28 +2025-11-04 13:34:58,667 ERROR: Encountered non-finite generator loss at iter 23163; skipping update. +2025-11-04 13:34:58,668 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:58,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:58,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:58,669 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:58,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=14.69, mean=-0.04044, std=3.484, absmax=14.69 +2025-11-04 13:34:58,670 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=13.28, mean=-0.02794, std=3.252, absmax=13.28 +2025-11-04 13:34:59,027 ERROR: Encountered non-finite generator loss at iter 23164; skipping update. +2025-11-04 13:34:59,028 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,029 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,029 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:59,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=12.86, mean=-0.3077, std=3.482, absmax=14.09 +2025-11-04 13:34:59,031 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=11.74, mean=-0.2755, std=3.336, absmax=13.66 +2025-11-04 13:34:59,387 ERROR: Encountered non-finite generator loss at iter 23165; skipping update. +2025-11-04 13:34:59,388 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,389 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,390 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:59,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=14.46, mean=-0.1279, std=2.761, absmax=14.46 +2025-11-04 13:34:59,391 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.26, mean=-0.1232, std=2.489, absmax=11.26 +2025-11-04 13:34:59,748 ERROR: Encountered non-finite generator loss at iter 23166; skipping update. +2025-11-04 13:34:59,749 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:34:59,750 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:34:59,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.65, mean=0.1567, std=2.955, absmax=13.75 +2025-11-04 13:34:59,751 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=12.38, mean=0.1244, std=2.787, absmax=12.38 +2025-11-04 13:35:00,107 ERROR: Encountered non-finite generator loss at iter 23167; skipping update. +2025-11-04 13:35:00,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:00,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=11.34, mean=-0.07435, std=3.291, absmax=14.35 +2025-11-04 13:35:00,111 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.85, max=9.868, mean=-0.04573, std=3.08, absmax=14.85 +2025-11-04 13:35:00,467 ERROR: Encountered non-finite generator loss at iter 23168; skipping update. +2025-11-04 13:35:00,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,469 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:00,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=18.04, mean=0.132, std=3.232, absmax=18.04 +2025-11-04 13:35:00,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=15.61, mean=0.1582, std=3.055, absmax=15.61 +2025-11-04 13:35:00,828 ERROR: Encountered non-finite generator loss at iter 23169; skipping update. +2025-11-04 13:35:00,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:00,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:00,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=15.52, mean=-0.2074, std=2.833, absmax=15.52 +2025-11-04 13:35:00,831 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=14.95, mean=-0.1735, std=2.575, absmax=14.95 +2025-11-04 13:35:01,187 ERROR: Encountered non-finite generator loss at iter 23170; skipping update. +2025-11-04 13:35:01,189 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,189 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,190 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:01,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.14, mean=-0.1074, std=2.958, absmax=13.1 +2025-11-04 13:35:01,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=10.81, mean=-0.09948, std=2.753, absmax=12.87 +2025-11-04 13:35:01,548 ERROR: Encountered non-finite generator loss at iter 23171; skipping update. +2025-11-04 13:35:01,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:01,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=11.68, mean=-0.2793, std=2.903, absmax=14.09 +2025-11-04 13:35:01,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=10.07, mean=-0.286, std=2.709, absmax=12.43 +2025-11-04 13:35:01,909 ERROR: Encountered non-finite generator loss at iter 23172; skipping update. +2025-11-04 13:35:01,910 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,911 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:01,911 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:01,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.79, max=12.02, mean=-0.3428, std=3.473, absmax=15.79 +2025-11-04 13:35:01,912 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.01, max=10.57, mean=-0.2976, std=3.266, absmax=14.01 +2025-11-04 13:35:02,269 ERROR: Encountered non-finite generator loss at iter 23173; skipping update. +2025-11-04 13:35:02,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,271 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,271 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:02,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=10.36, mean=-0.3489, std=2.959, absmax=13.65 +2025-11-04 13:35:02,272 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=9.712, mean=-0.3747, std=2.899, absmax=12.4 +2025-11-04 13:35:02,630 ERROR: Encountered non-finite generator loss at iter 23174; skipping update. +2025-11-04 13:35:02,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:02,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.05, mean=-0.193, std=2.75, absmax=12.97 +2025-11-04 13:35:02,633 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=9.556, mean=-0.1935, std=2.556, absmax=10.88 +2025-11-04 13:35:02,989 ERROR: Encountered non-finite generator loss at iter 23175; skipping update. +2025-11-04 13:35:02,990 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,991 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:02,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:02,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.77, mean=-0.06763, std=3.31, absmax=13.98 +2025-11-04 13:35:02,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=12.25, mean=-0.07969, std=3.011, absmax=13.02 +2025-11-04 13:35:03,350 ERROR: Encountered non-finite generator loss at iter 23176; skipping update. +2025-11-04 13:35:03,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:03,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:03,351 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:03,352 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:03,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.13, mean=-0.2659, std=3.014, absmax=13.13 +2025-11-04 13:35:03,353 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=11.47, mean=-0.2686, std=2.81, absmax=11.71 +2025-11-04 13:35:03,710 ERROR: Encountered non-finite generator loss at iter 23177; skipping update. +2025-11-04 13:35:03,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:03,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:03,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:03,713 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:03,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.73, mean=-0.0719, std=2.923, absmax=13.33 +2025-11-04 13:35:03,714 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=10.26, mean=-0.0519, std=2.702, absmax=10.89 +2025-11-04 13:35:04,070 ERROR: Encountered non-finite generator loss at iter 23178; skipping update. +2025-11-04 13:35:04,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,072 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,072 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:04,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.8, mean=0.0531, std=3.393, absmax=14.8 +2025-11-04 13:35:04,074 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=13.51, mean=0.04292, std=3.094, absmax=13.51 +2025-11-04 13:35:04,431 ERROR: Encountered non-finite generator loss at iter 23179; skipping update. +2025-11-04 13:35:04,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:04,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.42, mean=-0.2049, std=3.162, absmax=13.42 +2025-11-04 13:35:04,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.58, mean=-0.2042, std=2.986, absmax=12.58 +2025-11-04 13:35:04,791 ERROR: Encountered non-finite generator loss at iter 23180; skipping update. +2025-11-04 13:35:04,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,793 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:04,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:04,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=16.36, mean=-0.03965, std=2.97, absmax=16.36 +2025-11-04 13:35:04,794 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14, max=13.83, mean=0.0005848, std=2.778, absmax=14 +2025-11-04 13:35:05,151 ERROR: Encountered non-finite generator loss at iter 23181; skipping update. +2025-11-04 13:35:05,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,153 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:05,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.98, mean=-0.01613, std=2.87, absmax=13.01 +2025-11-04 13:35:05,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=12.66, mean=-0.02673, std=2.599, absmax=12.66 +2025-11-04 13:35:05,511 ERROR: Encountered non-finite generator loss at iter 23182; skipping update. +2025-11-04 13:35:05,512 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:05,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=15.42, mean=-0.0273, std=3.464, absmax=15.42 +2025-11-04 13:35:05,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=15.27, mean=0.0007645, std=3.282, absmax=15.27 +2025-11-04 13:35:05,872 ERROR: Encountered non-finite generator loss at iter 23183; skipping update. +2025-11-04 13:35:05,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:05,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:05,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=11.21, mean=-0.1724, std=3.237, absmax=13.83 +2025-11-04 13:35:05,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=9.849, mean=-0.2212, std=2.912, absmax=12.87 +2025-11-04 13:35:06,232 ERROR: Encountered non-finite generator loss at iter 23184; skipping update. +2025-11-04 13:35:06,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,233 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:06,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=12.74, mean=-0.3489, std=3.269, absmax=12.74 +2025-11-04 13:35:06,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=12.05, mean=-0.3017, std=3.168, absmax=12.31 +2025-11-04 13:35:06,591 ERROR: Encountered non-finite generator loss at iter 23185; skipping update. +2025-11-04 13:35:06,592 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:06,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.99, mean=-0.1645, std=2.785, absmax=12.99 +2025-11-04 13:35:06,594 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.884, max=11.58, mean=-0.1231, std=2.53, absmax=11.58 +2025-11-04 13:35:06,951 ERROR: Encountered non-finite generator loss at iter 23186; skipping update. +2025-11-04 13:35:06,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:06,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:06,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=11.78, mean=-0.2092, std=3.116, absmax=14.32 +2025-11-04 13:35:06,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=10.43, mean=-0.2334, std=2.909, absmax=13.58 +2025-11-04 13:35:07,311 ERROR: Encountered non-finite generator loss at iter 23187; skipping update. +2025-11-04 13:35:07,312 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:07,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:07,313 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:07,313 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:07,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=15.76, mean=-0.1861, std=2.984, absmax=15.76 +2025-11-04 13:35:07,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=13.52, mean=-0.1609, std=2.824, absmax=13.52 +2025-11-04 13:35:07,671 ERROR: Encountered non-finite generator loss at iter 23188; skipping update. +2025-11-04 13:35:07,672 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:07,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:07,673 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:07,673 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:07,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.34, mean=-0.1467, std=2.764, absmax=13.34 +2025-11-04 13:35:07,674 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.9, mean=-0.1315, std=2.629, absmax=11.9 +2025-11-04 13:35:08,031 ERROR: Encountered non-finite generator loss at iter 23189; skipping update. +2025-11-04 13:35:08,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:08,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=12.71, mean=-0.2766, std=2.713, absmax=12.71 +2025-11-04 13:35:08,034 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.53, mean=-0.2761, std=2.572, absmax=10.96 +2025-11-04 13:35:08,391 ERROR: Encountered non-finite generator loss at iter 23190; skipping update. +2025-11-04 13:35:08,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,392 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:08,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.05, mean=-0.1244, std=2.922, absmax=13.38 +2025-11-04 13:35:08,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=10.03, mean=-0.09284, std=2.699, absmax=12.08 +2025-11-04 13:35:08,750 ERROR: Encountered non-finite generator loss at iter 23191; skipping update. +2025-11-04 13:35:08,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:08,752 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:08,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.65, max=14.17, mean=-0.007548, std=3.756, absmax=16.65 +2025-11-04 13:35:08,753 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=13.21, mean=-0.002387, std=3.506, absmax=13.21 +2025-11-04 13:35:09,110 ERROR: Encountered non-finite generator loss at iter 23192; skipping update. +2025-11-04 13:35:09,110 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,111 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:09,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.92, mean=-0.2109, std=3.068, absmax=12.8 +2025-11-04 13:35:09,112 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.07, mean=-0.2139, std=2.829, absmax=12.22 +2025-11-04 13:35:09,469 ERROR: Encountered non-finite generator loss at iter 23193; skipping update. +2025-11-04 13:35:09,470 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,471 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,471 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:09,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=14.69, mean=-0.3042, std=3.392, absmax=14.69 +2025-11-04 13:35:09,472 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=12.55, mean=-0.3105, std=3.098, absmax=12.67 +2025-11-04 13:35:09,829 ERROR: Encountered non-finite generator loss at iter 23194; skipping update. +2025-11-04 13:35:09,830 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,831 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:09,832 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:09,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=15.27, mean=-0.1854, std=3.24, absmax=15.27 +2025-11-04 13:35:09,833 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=13.84, mean=-0.1832, std=2.919, absmax=13.84 +2025-11-04 13:35:10,189 ERROR: Encountered non-finite generator loss at iter 23195; skipping update. +2025-11-04 13:35:10,190 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,191 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,191 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:10,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.01, mean=-0.1219, std=3.047, absmax=13.5 +2025-11-04 13:35:10,193 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=12.27, mean=-0.1047, std=2.831, absmax=12.27 +2025-11-04 13:35:10,549 ERROR: Encountered non-finite generator loss at iter 23196; skipping update. +2025-11-04 13:35:10,551 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,552 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:10,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=13.25, mean=-0.08222, std=3.32, absmax=13.65 +2025-11-04 13:35:10,553 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=11.89, mean=-0.08637, std=3.105, absmax=12.19 +2025-11-04 13:35:10,909 ERROR: Encountered non-finite generator loss at iter 23197; skipping update. +2025-11-04 13:35:10,910 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,911 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:10,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:10,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.44, mean=-0.1221, std=3.009, absmax=13.42 +2025-11-04 13:35:10,913 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=12.62, mean=-0.1263, std=2.804, absmax=12.62 +2025-11-04 13:35:11,269 ERROR: Encountered non-finite generator loss at iter 23198; skipping update. +2025-11-04 13:35:11,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,271 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,272 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:11,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.11, max=12.08, mean=-0.07997, std=3.199, absmax=16.11 +2025-11-04 13:35:11,273 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.34, max=11.39, mean=-0.06247, std=3.021, absmax=14.34 +2025-11-04 13:35:11,630 ERROR: Encountered non-finite generator loss at iter 23199; skipping update. +2025-11-04 13:35:11,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:11,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.23, mean=-0.1546, std=3.081, absmax=12.23 +2025-11-04 13:35:11,633 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=12.01, mean=-0.1183, std=3.053, absmax=12.01 +2025-11-04 13:35:11,990 ERROR: Encountered non-finite generator loss at iter 23200; skipping update. +2025-11-04 13:35:11,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:11,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:11,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=16.36, mean=-0.3261, std=3.264, absmax=16.36 +2025-11-04 13:35:11,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=13.22, mean=-0.3333, std=3.051, absmax=13.22 +2025-11-04 13:35:11,994 INFO: [38..][epoch: 0, step: 23,200, lr:(2.000e-04,)] [eta: 1 day, 4:57:23, time (data): 0.360 (0.000)] +2025-11-04 13:35:12,351 ERROR: Encountered non-finite generator loss at iter 23201; skipping update. +2025-11-04 13:35:12,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:12,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:12,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:12,353 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:12,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=17.78, mean=-0.06216, std=3.257, absmax=17.78 +2025-11-04 13:35:12,355 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=14.72, mean=-0.04822, std=3.059, absmax=14.72 +2025-11-04 13:35:12,711 ERROR: Encountered non-finite generator loss at iter 23202; skipping update. +2025-11-04 13:35:12,712 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:12,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:12,713 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:12,714 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:12,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.06, mean=-0.02733, std=3.415, absmax=13.06 +2025-11-04 13:35:12,715 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=12.61, mean=-0.02967, std=3.177, absmax=12.61 +2025-11-04 13:35:13,072 ERROR: Encountered non-finite generator loss at iter 23203; skipping update. +2025-11-04 13:35:13,073 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,074 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:13,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=13.19, mean=-0.2465, std=2.507, absmax=13.19 +2025-11-04 13:35:13,075 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=9.808, mean=-0.2222, std=2.342, absmax=10.89 +2025-11-04 13:35:13,432 ERROR: Encountered non-finite generator loss at iter 23204; skipping update. +2025-11-04 13:35:13,433 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:13,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=14.05, mean=0.1247, std=3.781, absmax=14.05 +2025-11-04 13:35:13,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=13.32, mean=0.06387, std=3.509, absmax=13.32 +2025-11-04 13:35:13,791 ERROR: Encountered non-finite generator loss at iter 23205; skipping update. +2025-11-04 13:35:13,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,793 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:13,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:13,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=13.06, mean=-0.1279, std=3.505, absmax=14.02 +2025-11-04 13:35:13,795 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.46, max=11.69, mean=-0.1522, std=3.295, absmax=15.46 +2025-11-04 13:35:14,151 ERROR: Encountered non-finite generator loss at iter 23206; skipping update. +2025-11-04 13:35:14,152 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,153 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,153 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:14,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=15.53, mean=-0.2066, std=3.894, absmax=15.53 +2025-11-04 13:35:14,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.51, max=12.06, mean=-0.2258, std=3.509, absmax=13.51 +2025-11-04 13:35:14,511 ERROR: Encountered non-finite generator loss at iter 23207; skipping update. +2025-11-04 13:35:14,512 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,513 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,513 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:14,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.02, mean=-0.04163, std=3.412, absmax=13.69 +2025-11-04 13:35:14,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=12.49, mean=0.021, std=3.195, absmax=12.72 +2025-11-04 13:35:14,871 ERROR: Encountered non-finite generator loss at iter 23208; skipping update. +2025-11-04 13:35:14,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:14,873 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:14,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.69, mean=-0.06201, std=3.419, absmax=13.69 +2025-11-04 13:35:14,875 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=13.02, mean=-0.08986, std=3.151, absmax=13.02 +2025-11-04 13:35:15,232 ERROR: Encountered non-finite generator loss at iter 23209; skipping update. +2025-11-04 13:35:15,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:15,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=12.71, mean=-0.03461, std=3.141, absmax=12.71 +2025-11-04 13:35:15,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.794, max=11.81, mean=0.01688, std=3.004, absmax=11.81 +2025-11-04 13:35:15,591 ERROR: Encountered non-finite generator loss at iter 23210; skipping update. +2025-11-04 13:35:15,592 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:15,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=16.38, mean=-0.09769, std=3.023, absmax=16.38 +2025-11-04 13:35:15,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=14.23, mean=-0.09152, std=2.898, absmax=14.23 +2025-11-04 13:35:15,951 ERROR: Encountered non-finite generator loss at iter 23211; skipping update. +2025-11-04 13:35:15,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:15,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:15,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.39, mean=-0.3578, std=3.123, absmax=13.58 +2025-11-04 13:35:15,955 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=13.54, mean=-0.3109, std=2.99, absmax=13.54 +2025-11-04 13:35:16,311 ERROR: Encountered non-finite generator loss at iter 23212; skipping update. +2025-11-04 13:35:16,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:16,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:16,313 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:16,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:16,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=14.01, mean=0.01325, std=3.486, absmax=14.6 +2025-11-04 13:35:16,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.47, max=13.64, mean=-0.00507, std=3.326, absmax=14.47 +2025-11-04 13:35:16,671 ERROR: Encountered non-finite generator loss at iter 23213; skipping update. +2025-11-04 13:35:16,672 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:16,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:16,673 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:16,673 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:16,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.71, mean=-0.06753, std=3.134, absmax=13.71 +2025-11-04 13:35:16,674 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=13.77, mean=-0.06829, std=3.014, absmax=13.77 +2025-11-04 13:35:17,031 ERROR: Encountered non-finite generator loss at iter 23214; skipping update. +2025-11-04 13:35:17,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:17,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.03, max=13.65, mean=-0.2762, std=3.37, absmax=16.03 +2025-11-04 13:35:17,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=11.64, mean=-0.2292, std=3.003, absmax=13.61 +2025-11-04 13:35:17,391 ERROR: Encountered non-finite generator loss at iter 23215; skipping update. +2025-11-04 13:35:17,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:17,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=14.59, mean=-0.1097, std=2.778, absmax=14.59 +2025-11-04 13:35:17,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=12.55, mean=-0.09697, std=2.546, absmax=12.55 +2025-11-04 13:35:17,751 ERROR: Encountered non-finite generator loss at iter 23216; skipping update. +2025-11-04 13:35:17,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:17,753 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:17,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.97, mean=-0.2342, std=3.189, absmax=13.97 +2025-11-04 13:35:17,754 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=11.86, mean=-0.2232, std=2.855, absmax=11.86 +2025-11-04 13:35:18,111 ERROR: Encountered non-finite generator loss at iter 23217; skipping update. +2025-11-04 13:35:18,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,113 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:18,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.55, mean=0.03824, std=2.964, absmax=13.55 +2025-11-04 13:35:18,115 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=12.24, mean=0.02239, std=2.767, absmax=12.85 +2025-11-04 13:35:18,472 ERROR: Encountered non-finite generator loss at iter 23218; skipping update. +2025-11-04 13:35:18,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:18,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=13.18, mean=-0.1528, std=3.013, absmax=13.4 +2025-11-04 13:35:18,476 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=12.06, mean=-0.1446, std=2.77, absmax=12.43 +2025-11-04 13:35:18,832 ERROR: Encountered non-finite generator loss at iter 23219; skipping update. +2025-11-04 13:35:18,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:18,835 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:18,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=12.28, mean=-0.256, std=3.091, absmax=14.2 +2025-11-04 13:35:18,836 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=11.21, mean=-0.2443, std=2.923, absmax=13.49 +2025-11-04 13:35:19,192 ERROR: Encountered non-finite generator loss at iter 23220; skipping update. +2025-11-04 13:35:19,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:19,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.05, mean=-0.1534, std=2.913, absmax=13.79 +2025-11-04 13:35:19,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=11.03, mean=-0.1286, std=2.74, absmax=13.04 +2025-11-04 13:35:19,553 ERROR: Encountered non-finite generator loss at iter 23221; skipping update. +2025-11-04 13:35:19,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,555 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:19,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=11.79, mean=-0.0979, std=2.568, absmax=11.79 +2025-11-04 13:35:19,557 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=12.09, mean=-0.0947, std=2.418, absmax=12.09 +2025-11-04 13:35:19,914 ERROR: Encountered non-finite generator loss at iter 23222; skipping update. +2025-11-04 13:35:19,915 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:19,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:19,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.78, mean=-0.04741, std=3.065, absmax=13.78 +2025-11-04 13:35:19,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=12.29, mean=-0.04673, std=2.822, absmax=12.74 +2025-11-04 13:35:20,274 ERROR: Encountered non-finite generator loss at iter 23223; skipping update. +2025-11-04 13:35:20,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:20,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.72, mean=-0.04244, std=2.977, absmax=13.72 +2025-11-04 13:35:20,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=12.09, mean=-0.04367, std=2.742, absmax=12.09 +2025-11-04 13:35:20,636 ERROR: Encountered non-finite generator loss at iter 23224; skipping update. +2025-11-04 13:35:20,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:20,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.05, mean=-0.06084, std=2.714, absmax=12.05 +2025-11-04 13:35:20,639 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=11.17, mean=-0.06908, std=2.546, absmax=11.17 +2025-11-04 13:35:20,997 ERROR: Encountered non-finite generator loss at iter 23225; skipping update. +2025-11-04 13:35:20,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:20,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:21,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.74, mean=-0.09949, std=2.779, absmax=13.74 +2025-11-04 13:35:21,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=11.86, mean=-0.09653, std=2.498, absmax=12.14 +2025-11-04 13:35:21,358 ERROR: Encountered non-finite generator loss at iter 23226; skipping update. +2025-11-04 13:35:21,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:21,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:21,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:21,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:21,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=12.31, mean=-0.09501, std=3, absmax=12.31 +2025-11-04 13:35:21,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10.65, mean=-0.06144, std=2.81, absmax=12.05 +2025-11-04 13:35:21,719 ERROR: Encountered non-finite generator loss at iter 23227; skipping update. +2025-11-04 13:35:21,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:21,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:21,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:21,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:21,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.73, max=14.35, mean=-0.3294, std=3.204, absmax=15.73 +2025-11-04 13:35:21,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=13.54, mean=-0.3454, std=2.921, absmax=13.7 +2025-11-04 13:35:22,080 ERROR: Encountered non-finite generator loss at iter 23228; skipping update. +2025-11-04 13:35:22,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:22,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=14.89, mean=-0.2707, std=2.892, absmax=14.89 +2025-11-04 13:35:22,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=9.384, mean=-0.2753, std=2.58, absmax=11.5 +2025-11-04 13:35:22,440 ERROR: Encountered non-finite generator loss at iter 23229; skipping update. +2025-11-04 13:35:22,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:22,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.44, mean=-0.1741, std=3.337, absmax=13.22 +2025-11-04 13:35:22,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=11.44, mean=-0.2001, std=3.155, absmax=13.69 +2025-11-04 13:35:22,801 ERROR: Encountered non-finite generator loss at iter 23230; skipping update. +2025-11-04 13:35:22,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,803 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,803 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:22,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:22,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.61, mean=-0.2228, std=2.657, absmax=12.61 +2025-11-04 13:35:22,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.15, mean=-0.2051, std=2.583, absmax=12.15 +2025-11-04 13:35:23,161 ERROR: Encountered non-finite generator loss at iter 23231; skipping update. +2025-11-04 13:35:23,162 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:23,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.27, mean=-0.327, std=2.831, absmax=12.7 +2025-11-04 13:35:23,165 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.29, max=9.931, mean=-0.3089, std=2.54, absmax=13.29 +2025-11-04 13:35:23,523 ERROR: Encountered non-finite generator loss at iter 23232; skipping update. +2025-11-04 13:35:23,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:23,526 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=14.21, mean=-0.297, std=2.638, absmax=14.21 +2025-11-04 13:35:23,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=13.91, mean=-0.2957, std=2.527, absmax=13.91 +2025-11-04 13:35:23,884 ERROR: Encountered non-finite generator loss at iter 23233; skipping update. +2025-11-04 13:35:23,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,886 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:23,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:23,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.08, mean=-0.2582, std=2.756, absmax=13.33 +2025-11-04 13:35:23,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=10.7, mean=-0.2677, std=2.613, absmax=12.11 +2025-11-04 13:35:24,245 ERROR: Encountered non-finite generator loss at iter 23234; skipping update. +2025-11-04 13:35:24,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,247 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:24,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.65, mean=-0.02503, std=2.959, absmax=13.65 +2025-11-04 13:35:24,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.643, max=12.54, mean=-0.08736, std=2.688, absmax=12.54 +2025-11-04 13:35:24,606 ERROR: Encountered non-finite generator loss at iter 23235; skipping update. +2025-11-04 13:35:24,607 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,608 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,608 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:24,609 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=15.34, mean=-0.2397, std=3.27, absmax=15.34 +2025-11-04 13:35:24,609 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=13.71, mean=-0.2181, std=2.998, absmax=13.71 +2025-11-04 13:35:24,966 ERROR: Encountered non-finite generator loss at iter 23236; skipping update. +2025-11-04 13:35:24,967 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,968 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:24,969 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:24,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.94, mean=-0.1673, std=2.898, absmax=13.09 +2025-11-04 13:35:24,970 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.85, mean=-0.182, std=2.671, absmax=10.85 +2025-11-04 13:35:25,327 ERROR: Encountered non-finite generator loss at iter 23237; skipping update. +2025-11-04 13:35:25,328 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:25,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:25,329 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:25,330 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:25,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.88, mean=-0.2226, std=2.946, absmax=12.99 +2025-11-04 13:35:25,331 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=11.08, mean=-0.2022, std=2.773, absmax=12.19 +2025-11-04 13:35:25,687 ERROR: Encountered non-finite generator loss at iter 23238; skipping update. +2025-11-04 13:35:25,688 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:25,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:25,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:25,690 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:25,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=11.41, mean=-0.353, std=2.635, absmax=12.09 +2025-11-04 13:35:25,691 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=10.38, mean=-0.3187, std=2.549, absmax=11.98 +2025-11-04 13:35:26,048 ERROR: Encountered non-finite generator loss at iter 23239; skipping update. +2025-11-04 13:35:26,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,053 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:26,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.53, mean=-0.126, std=2.966, absmax=14.53 +2025-11-04 13:35:26,054 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=13.14, mean=-0.1291, std=2.727, absmax=13.14 +2025-11-04 13:35:26,411 ERROR: Encountered non-finite generator loss at iter 23240; skipping update. +2025-11-04 13:35:26,412 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,413 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,413 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:26,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=14.19, mean=-0.2682, std=3.371, absmax=14.19 +2025-11-04 13:35:26,414 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.17, max=10.65, mean=-0.234, std=3.132, absmax=14.17 +2025-11-04 13:35:26,772 ERROR: Encountered non-finite generator loss at iter 23241; skipping update. +2025-11-04 13:35:26,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:26,774 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:26,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.11, mean=-0.3551, std=3.366, absmax=13.67 +2025-11-04 13:35:26,775 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=10.92, mean=-0.3184, std=3.057, absmax=12.76 +2025-11-04 13:35:27,133 ERROR: Encountered non-finite generator loss at iter 23242; skipping update. +2025-11-04 13:35:27,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:27,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=10.61, mean=-0.2733, std=2.95, absmax=13.57 +2025-11-04 13:35:27,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=10.02, mean=-0.2497, std=2.724, absmax=12.81 +2025-11-04 13:35:27,493 ERROR: Encountered non-finite generator loss at iter 23243; skipping update. +2025-11-04 13:35:27,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:27,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=12.4, mean=-0.1555, std=3.009, absmax=13.8 +2025-11-04 13:35:27,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=11.11, mean=-0.1464, std=2.912, absmax=11.11 +2025-11-04 13:35:27,854 ERROR: Encountered non-finite generator loss at iter 23244; skipping update. +2025-11-04 13:35:27,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:27,857 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:27,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.57, mean=-0.09095, std=3.004, absmax=12.2 +2025-11-04 13:35:27,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.51, mean=-0.09805, std=2.856, absmax=11.66 +2025-11-04 13:35:28,215 ERROR: Encountered non-finite generator loss at iter 23245; skipping update. +2025-11-04 13:35:28,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,217 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,218 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:28,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.92, mean=-0.04314, std=2.802, absmax=14.92 +2025-11-04 13:35:28,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=13.56, mean=-0.03845, std=2.643, absmax=13.56 +2025-11-04 13:35:28,576 ERROR: Encountered non-finite generator loss at iter 23246; skipping update. +2025-11-04 13:35:28,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:28,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.52, max=13.65, mean=-0.1141, std=3.147, absmax=15.52 +2025-11-04 13:35:28,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=12.5, mean=-0.1303, std=3.158, absmax=13.13 +2025-11-04 13:35:28,936 ERROR: Encountered non-finite generator loss at iter 23247; skipping update. +2025-11-04 13:35:28,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:28,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:28,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.17, mean=-0.0713, std=3.132, absmax=13.51 +2025-11-04 13:35:28,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=11.06, mean=-0.05389, std=2.923, absmax=11.21 +2025-11-04 13:35:29,297 ERROR: Encountered non-finite generator loss at iter 23248; skipping update. +2025-11-04 13:35:29,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:29,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:29,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:29,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:29,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.57, mean=-0.1471, std=3.222, absmax=12.94 +2025-11-04 13:35:29,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=13.08, mean=-0.1614, std=3.018, absmax=13.08 +2025-11-04 13:35:29,658 ERROR: Encountered non-finite generator loss at iter 23249; skipping update. +2025-11-04 13:35:29,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:29,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:29,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:29,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:29,661 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.45, mean=-0.07854, std=3.108, absmax=13.45 +2025-11-04 13:35:29,661 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=10.38, mean=-0.05756, std=2.944, absmax=12.2 +2025-11-04 13:35:30,019 ERROR: Encountered non-finite generator loss at iter 23250; skipping update. +2025-11-04 13:35:30,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,020 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,021 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:30,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.05, mean=-0.1217, std=2.55, absmax=13.05 +2025-11-04 13:35:30,022 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=12.58, mean=-0.1207, std=2.45, absmax=12.58 +2025-11-04 13:35:30,379 ERROR: Encountered non-finite generator loss at iter 23251; skipping update. +2025-11-04 13:35:30,380 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,381 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:30,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.67, mean=-0.1558, std=2.807, absmax=12.67 +2025-11-04 13:35:30,382 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=12.87, mean=-0.09949, std=2.562, absmax=12.87 +2025-11-04 13:35:30,740 ERROR: Encountered non-finite generator loss at iter 23252; skipping update. +2025-11-04 13:35:30,741 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,742 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:30,742 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:30,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=10.95, mean=-0.2345, std=2.524, absmax=13.46 +2025-11-04 13:35:30,743 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.19, mean=-0.236, std=2.358, absmax=10.9 +2025-11-04 13:35:31,100 ERROR: Encountered non-finite generator loss at iter 23253; skipping update. +2025-11-04 13:35:31,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,102 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:31,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=14.32, mean=0.0725, std=3.39, absmax=14.32 +2025-11-04 13:35:31,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=12.67, mean=0.01679, std=3.018, absmax=12.67 +2025-11-04 13:35:31,461 ERROR: Encountered non-finite generator loss at iter 23254; skipping update. +2025-11-04 13:35:31,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:31,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.04, mean=-0.1156, std=2.769, absmax=12.32 +2025-11-04 13:35:31,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=10.47, mean=-0.1662, std=2.567, absmax=10.72 +2025-11-04 13:35:31,822 ERROR: Encountered non-finite generator loss at iter 23255; skipping update. +2025-11-04 13:35:31,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:31,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:31,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.27, mean=-0.1029, std=3.099, absmax=14.27 +2025-11-04 13:35:31,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=12.84, mean=-0.1208, std=2.818, absmax=12.84 +2025-11-04 13:35:32,183 ERROR: Encountered non-finite generator loss at iter 23256; skipping update. +2025-11-04 13:35:32,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:32,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=12.53, mean=-0.1463, std=3.002, absmax=14.87 +2025-11-04 13:35:32,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=10.09, mean=-0.1724, std=2.705, absmax=12.18 +2025-11-04 13:35:32,543 ERROR: Encountered non-finite generator loss at iter 23257; skipping update. +2025-11-04 13:35:32,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:32,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.53, mean=-0.08475, std=3.175, absmax=12.77 +2025-11-04 13:35:32,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.85, mean=-0.09537, std=2.886, absmax=11.85 +2025-11-04 13:35:32,904 ERROR: Encountered non-finite generator loss at iter 23258; skipping update. +2025-11-04 13:35:32,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:32,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:32,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.1, max=14.86, mean=-0.07831, std=3.459, absmax=17.1 +2025-11-04 13:35:32,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.78, max=12.07, mean=-0.01949, std=3.275, absmax=14.78 +2025-11-04 13:35:33,264 ERROR: Encountered non-finite generator loss at iter 23259; skipping update. +2025-11-04 13:35:33,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:33,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.2, mean=-0.131, std=2.478, absmax=12.37 +2025-11-04 13:35:33,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.454, max=10.25, mean=-0.1287, std=2.289, absmax=10.25 +2025-11-04 13:35:33,625 ERROR: Encountered non-finite generator loss at iter 23260; skipping update. +2025-11-04 13:35:33,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:33,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.99, mean=0.03622, std=3.202, absmax=12.99 +2025-11-04 13:35:33,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=11.02, mean=-0.01844, std=2.935, absmax=11.02 +2025-11-04 13:35:33,985 ERROR: Encountered non-finite generator loss at iter 23261; skipping update. +2025-11-04 13:35:33,987 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,988 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:33,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:33,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=15.69, mean=-0.03802, std=3.356, absmax=15.69 +2025-11-04 13:35:33,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=15.95, mean=-0.009878, std=3.049, absmax=15.95 +2025-11-04 13:35:34,346 ERROR: Encountered non-finite generator loss at iter 23262; skipping update. +2025-11-04 13:35:34,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:34,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:34,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:34,349 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:34,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=8.934, mean=-0.1645, std=2.416, absmax=12.87 +2025-11-04 13:35:34,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=8.542, mean=-0.1515, std=2.238, absmax=10.3 +2025-11-04 13:35:34,707 ERROR: Encountered non-finite generator loss at iter 23263; skipping update. +2025-11-04 13:35:34,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:34,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:34,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:34,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:34,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.73, mean=-0.1317, std=3.39, absmax=13.65 +2025-11-04 13:35:34,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.37, mean=-0.1862, std=3.139, absmax=12.5 +2025-11-04 13:35:35,067 ERROR: Encountered non-finite generator loss at iter 23264; skipping update. +2025-11-04 13:35:35,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:35,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=10.55, mean=-0.1768, std=2.479, absmax=12.81 +2025-11-04 13:35:35,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=10.47, mean=-0.2191, std=2.328, absmax=12.68 +2025-11-04 13:35:35,427 ERROR: Encountered non-finite generator loss at iter 23265; skipping update. +2025-11-04 13:35:35,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:35,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.25, mean=-0.1061, std=2.729, absmax=13.25 +2025-11-04 13:35:35,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=12.08, mean=-0.1361, std=2.486, absmax=12.08 +2025-11-04 13:35:35,786 ERROR: Encountered non-finite generator loss at iter 23266; skipping update. +2025-11-04 13:35:35,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:35,788 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:35,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.68, mean=-0.2276, std=2.895, absmax=13.68 +2025-11-04 13:35:35,789 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.46, mean=-0.1797, std=2.663, absmax=11.46 +2025-11-04 13:35:36,146 ERROR: Encountered non-finite generator loss at iter 23267; skipping update. +2025-11-04 13:35:36,147 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,148 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:36,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=13.96, mean=-0.05678, std=3.004, absmax=13.96 +2025-11-04 13:35:36,149 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=13.71, mean=-0.05196, std=2.846, absmax=13.71 +2025-11-04 13:35:36,506 ERROR: Encountered non-finite generator loss at iter 23268; skipping update. +2025-11-04 13:35:36,506 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,507 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,507 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:36,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=13.52, mean=-0.008359, std=3.326, absmax=13.52 +2025-11-04 13:35:36,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.97, mean=0.004213, std=3.141, absmax=12.97 +2025-11-04 13:35:36,865 ERROR: Encountered non-finite generator loss at iter 23269; skipping update. +2025-11-04 13:35:36,866 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,867 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:36,867 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:36,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.55, mean=-0.1369, std=2.971, absmax=13.13 +2025-11-04 13:35:36,868 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.24, mean=-0.1253, std=2.702, absmax=11.24 +2025-11-04 13:35:37,225 ERROR: Encountered non-finite generator loss at iter 23270; skipping update. +2025-11-04 13:35:37,226 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,227 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:37,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=11.22, mean=-0.3439, std=3.148, absmax=13.07 +2025-11-04 13:35:37,228 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=9.334, mean=-0.3225, std=2.946, absmax=12.54 +2025-11-04 13:35:37,585 ERROR: Encountered non-finite generator loss at iter 23271; skipping update. +2025-11-04 13:35:37,586 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,586 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,586 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,587 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:37,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=11.48, mean=0.08537, std=2.735, absmax=11.48 +2025-11-04 13:35:37,588 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=10.1, mean=0.03578, std=2.574, absmax=10.26 +2025-11-04 13:35:37,944 ERROR: Encountered non-finite generator loss at iter 23272; skipping update. +2025-11-04 13:35:37,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:37,946 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:37,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=15.03, mean=-0.1162, std=3.035, absmax=15.03 +2025-11-04 13:35:37,948 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=11.26, mean=-0.1032, std=2.809, absmax=11.26 +2025-11-04 13:35:38,304 ERROR: Encountered non-finite generator loss at iter 23273; skipping update. +2025-11-04 13:35:38,305 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:38,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:38,306 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:38,306 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:38,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=13.76, mean=-0.1484, std=2.771, absmax=14.88 +2025-11-04 13:35:38,307 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.9, max=12.58, mean=-0.1197, std=2.577, absmax=12.9 +2025-11-04 13:35:38,663 ERROR: Encountered non-finite generator loss at iter 23274; skipping update. +2025-11-04 13:35:38,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:38,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:38,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:38,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:38,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=15.16, mean=-0.3068, std=3.389, absmax=15.16 +2025-11-04 13:35:38,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=12.79, mean=-0.2632, std=3.065, absmax=13.06 +2025-11-04 13:35:39,023 ERROR: Encountered non-finite generator loss at iter 23275; skipping update. +2025-11-04 13:35:39,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:39,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.05, mean=-0.1704, std=2.929, absmax=12.15 +2025-11-04 13:35:39,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.42, mean=-0.1678, std=2.691, absmax=10.42 +2025-11-04 13:35:39,383 ERROR: Encountered non-finite generator loss at iter 23276; skipping update. +2025-11-04 13:35:39,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:39,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.85, mean=-0.2716, std=2.783, absmax=13.85 +2025-11-04 13:35:39,386 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=12.57, mean=-0.2426, std=2.641, absmax=12.61 +2025-11-04 13:35:39,743 ERROR: Encountered non-finite generator loss at iter 23277; skipping update. +2025-11-04 13:35:39,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:39,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:39,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=15.36, mean=0.08806, std=3.707, absmax=15.36 +2025-11-04 13:35:39,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=14.26, mean=0.08517, std=3.39, absmax=14.26 +2025-11-04 13:35:40,103 ERROR: Encountered non-finite generator loss at iter 23278; skipping update. +2025-11-04 13:35:40,104 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:40,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=12.06, mean=-0.1821, std=3.28, absmax=13.16 +2025-11-04 13:35:40,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=11.82, mean=-0.1584, std=3.133, absmax=11.82 +2025-11-04 13:35:40,463 ERROR: Encountered non-finite generator loss at iter 23279; skipping update. +2025-11-04 13:35:40,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:40,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=11.15, mean=-0.2564, std=2.616, absmax=12.88 +2025-11-04 13:35:40,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.07, mean=-0.2352, std=2.483, absmax=11.59 +2025-11-04 13:35:40,823 ERROR: Encountered non-finite generator loss at iter 23280; skipping update. +2025-11-04 13:35:40,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:40,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:40,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.79, mean=-0.1553, std=2.926, absmax=13.79 +2025-11-04 13:35:40,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.38, mean=-0.1248, std=2.631, absmax=12.52 +2025-11-04 13:35:41,182 ERROR: Encountered non-finite generator loss at iter 23281; skipping update. +2025-11-04 13:35:41,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:41,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=10.28, mean=-0.0964, std=2.677, absmax=11.86 +2025-11-04 13:35:41,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=9.626, mean=-0.08576, std=2.547, absmax=10.94 +2025-11-04 13:35:41,542 ERROR: Encountered non-finite generator loss at iter 23282; skipping update. +2025-11-04 13:35:41,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:41,545 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.21, mean=-0.0262, std=2.978, absmax=13.21 +2025-11-04 13:35:41,546 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.05, mean=-0.03323, std=2.803, absmax=12.05 +2025-11-04 13:35:41,902 ERROR: Encountered non-finite generator loss at iter 23283; skipping update. +2025-11-04 13:35:41,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:41,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:41,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=10.36, mean=-0.2998, std=2.798, absmax=11.85 +2025-11-04 13:35:41,906 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=9.617, mean=-0.2834, std=2.629, absmax=11.03 +2025-11-04 13:35:42,262 ERROR: Encountered non-finite generator loss at iter 23284; skipping update. +2025-11-04 13:35:42,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:42,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.14, mean=-0.09098, std=3.207, absmax=14.14 +2025-11-04 13:35:42,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.35, mean=-0.07425, std=2.882, absmax=12.35 +2025-11-04 13:35:42,622 ERROR: Encountered non-finite generator loss at iter 23285; skipping update. +2025-11-04 13:35:42,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,624 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:42,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=13.75, mean=-0.01059, std=3.661, absmax=14.51 +2025-11-04 13:35:42,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.99, max=13.01, mean=0.009915, std=3.45, absmax=14.99 +2025-11-04 13:35:42,983 ERROR: Encountered non-finite generator loss at iter 23286; skipping update. +2025-11-04 13:35:42,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:42,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:42,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11.76, mean=-0.2108, std=2.698, absmax=11.76 +2025-11-04 13:35:42,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=9.916, mean=-0.2181, std=2.516, absmax=10.41 +2025-11-04 13:35:43,342 ERROR: Encountered non-finite generator loss at iter 23287; skipping update. +2025-11-04 13:35:43,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:43,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:43,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:43,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:43,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=15.03, mean=-0.3407, std=3.284, absmax=15.03 +2025-11-04 13:35:43,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=13.76, mean=-0.3235, std=3.087, absmax=13.76 +2025-11-04 13:35:43,703 ERROR: Encountered non-finite generator loss at iter 23288; skipping update. +2025-11-04 13:35:43,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:43,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:43,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:43,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:43,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=14.02, mean=-0.1329, std=3.058, absmax=14.02 +2025-11-04 13:35:43,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=11.25, mean=-0.129, std=2.762, absmax=11.25 +2025-11-04 13:35:44,062 ERROR: Encountered non-finite generator loss at iter 23289; skipping update. +2025-11-04 13:35:44,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,065 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:44,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=12.59, mean=-0.1967, std=2.793, absmax=12.59 +2025-11-04 13:35:44,066 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=10.65, mean=-0.1569, std=2.572, absmax=10.65 +2025-11-04 13:35:44,422 ERROR: Encountered non-finite generator loss at iter 23290; skipping update. +2025-11-04 13:35:44,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:44,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=11.48, mean=-0.1087, std=2.761, absmax=13.91 +2025-11-04 13:35:44,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=10.59, mean=-0.09246, std=2.618, absmax=12.89 +2025-11-04 13:35:44,782 ERROR: Encountered non-finite generator loss at iter 23291; skipping update. +2025-11-04 13:35:44,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:44,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:44,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=12.59, mean=-0.1235, std=3.044, absmax=13.72 +2025-11-04 13:35:44,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=12.06, mean=-0.1094, std=2.849, absmax=12.06 +2025-11-04 13:35:45,142 ERROR: Encountered non-finite generator loss at iter 23292; skipping update. +2025-11-04 13:35:45,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:45,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=14.44, mean=-0.1032, std=3.171, absmax=14.44 +2025-11-04 13:35:45,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=12.34, mean=-0.1317, std=2.927, absmax=12.34 +2025-11-04 13:35:45,501 ERROR: Encountered non-finite generator loss at iter 23293; skipping update. +2025-11-04 13:35:45,502 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,504 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:45,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.19, mean=-0.2762, std=2.717, absmax=12.21 +2025-11-04 13:35:45,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=9.783, mean=-0.3058, std=2.536, absmax=11.92 +2025-11-04 13:35:45,861 ERROR: Encountered non-finite generator loss at iter 23294; skipping update. +2025-11-04 13:35:45,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,863 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:45,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:45,864 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.07, mean=-0.1703, std=3.102, absmax=13.02 +2025-11-04 13:35:45,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=10.99, mean=-0.1453, std=2.869, absmax=11.96 +2025-11-04 13:35:46,221 ERROR: Encountered non-finite generator loss at iter 23295; skipping update. +2025-11-04 13:35:46,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:46,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.81, max=9.981, mean=-0.1411, std=2.451, absmax=10.81 +2025-11-04 13:35:46,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=8.826, mean=-0.1639, std=2.328, absmax=10.32 +2025-11-04 13:35:46,581 ERROR: Encountered non-finite generator loss at iter 23296; skipping update. +2025-11-04 13:35:46,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:46,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.32, mean=0.1567, std=3.564, absmax=13.32 +2025-11-04 13:35:46,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=12.65, mean=0.1755, std=3.359, absmax=12.65 +2025-11-04 13:35:46,941 ERROR: Encountered non-finite generator loss at iter 23297; skipping update. +2025-11-04 13:35:46,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:46,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:46,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.42, mean=-0.1848, std=3.055, absmax=13.45 +2025-11-04 13:35:46,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=12, mean=-0.2106, std=2.842, absmax=12.39 +2025-11-04 13:35:47,302 ERROR: Encountered non-finite generator loss at iter 23298; skipping update. +2025-11-04 13:35:47,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:47,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:47,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:47,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:47,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.75, mean=-0.09832, std=2.989, absmax=13.75 +2025-11-04 13:35:47,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.971, max=11.3, mean=-0.09986, std=2.739, absmax=11.3 +2025-11-04 13:35:47,662 ERROR: Encountered non-finite generator loss at iter 23299; skipping update. +2025-11-04 13:35:47,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:47,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:47,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:47,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:47,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.12, max=16.38, mean=-0.229, std=3.357, absmax=16.38 +2025-11-04 13:35:47,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.01, max=13.54, mean=-0.2195, std=3.05, absmax=14.01 +2025-11-04 13:35:48,022 ERROR: Encountered non-finite generator loss at iter 23300; skipping update. +2025-11-04 13:35:48,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:48,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=12.44, mean=0.1661, std=3.209, absmax=13.43 +2025-11-04 13:35:48,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.6, mean=0.1324, std=2.936, absmax=12.6 +2025-11-04 13:35:48,026 INFO: [38..][epoch: 0, step: 23,300, lr:(2.000e-04,)] [eta: 1 day, 4:50:51, time (data): 0.360 (0.000)] +2025-11-04 13:35:48,384 ERROR: Encountered non-finite generator loss at iter 23301; skipping update. +2025-11-04 13:35:48,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:48,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=11.28, mean=-0.3058, std=2.525, absmax=11.29 +2025-11-04 13:35:48,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=9.763, mean=-0.329, std=2.485, absmax=10.65 +2025-11-04 13:35:48,745 ERROR: Encountered non-finite generator loss at iter 23302; skipping update. +2025-11-04 13:35:48,746 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:48,747 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:48,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.38, mean=-0.3145, std=2.619, absmax=13.38 +2025-11-04 13:35:48,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=14.54, mean=-0.3187, std=2.509, absmax=14.54 +2025-11-04 13:35:49,106 ERROR: Encountered non-finite generator loss at iter 23303; skipping update. +2025-11-04 13:35:49,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:49,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=10.89, mean=-0.2254, std=2.369, absmax=11.43 +2025-11-04 13:35:49,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.523, max=9.928, mean=-0.2064, std=2.2, absmax=9.928 +2025-11-04 13:35:49,466 ERROR: Encountered non-finite generator loss at iter 23304; skipping update. +2025-11-04 13:35:49,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:49,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=10.86, mean=-0.3238, std=3.082, absmax=13.16 +2025-11-04 13:35:49,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=9.938, mean=-0.3268, std=2.857, absmax=12.02 +2025-11-04 13:35:49,826 ERROR: Encountered non-finite generator loss at iter 23305; skipping update. +2025-11-04 13:35:49,828 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,829 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:49,829 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:49,830 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.84, mean=0.06824, std=3.17, absmax=13.84 +2025-11-04 13:35:49,830 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.77, mean=0.06325, std=2.934, absmax=12.77 +2025-11-04 13:35:50,187 ERROR: Encountered non-finite generator loss at iter 23306; skipping update. +2025-11-04 13:35:50,188 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,189 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:50,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.32, mean=-0.09016, std=2.714, absmax=14.32 +2025-11-04 13:35:50,190 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.23, mean=-0.08769, std=2.476, absmax=11.23 +2025-11-04 13:35:50,547 ERROR: Encountered non-finite generator loss at iter 23307; skipping update. +2025-11-04 13:35:50,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,549 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:50,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13, mean=-0.02393, std=3.017, absmax=13.61 +2025-11-04 13:35:50,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=10.39, mean=-0.03689, std=2.829, absmax=12.74 +2025-11-04 13:35:50,906 ERROR: Encountered non-finite generator loss at iter 23308; skipping update. +2025-11-04 13:35:50,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:50,909 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:50,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.8, mean=-0.194, std=2.577, absmax=11.8 +2025-11-04 13:35:50,910 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=10.66, mean=-0.1586, std=2.378, absmax=10.66 +2025-11-04 13:35:51,266 ERROR: Encountered non-finite generator loss at iter 23309; skipping update. +2025-11-04 13:35:51,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,268 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:51,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.62, mean=-0.1393, std=3.082, absmax=13.62 +2025-11-04 13:35:51,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.85, mean=-0.09882, std=2.89, absmax=11.85 +2025-11-04 13:35:51,627 ERROR: Encountered non-finite generator loss at iter 23310; skipping update. +2025-11-04 13:35:51,627 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,628 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:51,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.24, mean=-0.05345, std=3.04, absmax=12.44 +2025-11-04 13:35:51,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.53, mean=-0.04737, std=2.762, absmax=12.53 +2025-11-04 13:35:51,985 ERROR: Encountered non-finite generator loss at iter 23311; skipping update. +2025-11-04 13:35:51,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:51,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:51,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.6, mean=0.06178, std=3.266, absmax=14.6 +2025-11-04 13:35:51,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.46, mean=0.02557, std=3.022, absmax=13.46 +2025-11-04 13:35:52,346 ERROR: Encountered non-finite generator loss at iter 23312; skipping update. +2025-11-04 13:35:52,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:52,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:52,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:52,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:52,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=14.09, mean=-0.1814, std=2.885, absmax=14.09 +2025-11-04 13:35:52,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=12.69, mean=-0.1755, std=2.664, absmax=12.69 +2025-11-04 13:35:52,706 ERROR: Encountered non-finite generator loss at iter 23313; skipping update. +2025-11-04 13:35:52,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:52,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:52,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:52,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:52,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=16.23, mean=-0.1829, std=3.174, absmax=16.23 +2025-11-04 13:35:52,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=11.62, mean=-0.1737, std=3.002, absmax=11.75 +2025-11-04 13:35:53,067 ERROR: Encountered non-finite generator loss at iter 23314; skipping update. +2025-11-04 13:35:53,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:53,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=14.22, mean=-0.1675, std=3.187, absmax=14.22 +2025-11-04 13:35:53,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.94, mean=-0.1613, std=2.898, absmax=12.94 +2025-11-04 13:35:53,426 ERROR: Encountered non-finite generator loss at iter 23315; skipping update. +2025-11-04 13:35:53,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:53,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=13.43, mean=-0.2548, std=2.552, absmax=13.43 +2025-11-04 13:35:53,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=11.23, mean=-0.2437, std=2.422, absmax=11.23 +2025-11-04 13:35:53,787 ERROR: Encountered non-finite generator loss at iter 23316; skipping update. +2025-11-04 13:35:53,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:53,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:53,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=13.49, mean=-0.2031, std=3.558, absmax=13.71 +2025-11-04 13:35:53,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=11.28, mean=-0.2088, std=3.267, absmax=12.21 +2025-11-04 13:35:54,147 ERROR: Encountered non-finite generator loss at iter 23317; skipping update. +2025-11-04 13:35:54,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,149 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:54,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.61, mean=-0.03143, std=2.81, absmax=13.61 +2025-11-04 13:35:54,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=12.98, mean=-0.03113, std=2.641, absmax=12.98 +2025-11-04 13:35:54,507 ERROR: Encountered non-finite generator loss at iter 23318; skipping update. +2025-11-04 13:35:54,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:54,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=13.13, mean=-0.2204, std=3.153, absmax=13.13 +2025-11-04 13:35:54,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=12.21, mean=-0.1675, std=2.998, absmax=12.24 +2025-11-04 13:35:54,867 ERROR: Encountered non-finite generator loss at iter 23319; skipping update. +2025-11-04 13:35:54,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:54,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:54,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.23, mean=-0.1134, std=3.388, absmax=13.23 +2025-11-04 13:35:54,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=12.53, mean=-0.118, std=3.199, absmax=12.86 +2025-11-04 13:35:55,228 ERROR: Encountered non-finite generator loss at iter 23320; skipping update. +2025-11-04 13:35:55,229 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,230 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,230 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:55,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.05, mean=-0.2912, std=2.954, absmax=13.44 +2025-11-04 13:35:55,231 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.17, max=11.49, mean=-0.2393, std=2.81, absmax=14.17 +2025-11-04 13:35:55,588 ERROR: Encountered non-finite generator loss at iter 23321; skipping update. +2025-11-04 13:35:55,589 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,590 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,590 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:55,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.16, mean=-0.2274, std=3.168, absmax=13 +2025-11-04 13:35:55,591 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.37, mean=-0.1667, std=2.967, absmax=12.37 +2025-11-04 13:35:55,948 ERROR: Encountered non-finite generator loss at iter 23322; skipping update. +2025-11-04 13:35:55,949 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,949 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:55,950 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:55,950 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=10.9, mean=-0.1369, std=2.83, absmax=13.43 +2025-11-04 13:35:55,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=9.974, mean=-0.119, std=2.655, absmax=12.35 +2025-11-04 13:35:56,308 ERROR: Encountered non-finite generator loss at iter 23323; skipping update. +2025-11-04 13:35:56,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:56,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:56,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:56,311 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:56,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=12.47, mean=-0.02691, std=2.986, absmax=12.47 +2025-11-04 13:35:56,312 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=11.41, mean=-0.0442, std=2.771, absmax=11.41 +2025-11-04 13:35:56,668 ERROR: Encountered non-finite generator loss at iter 23324; skipping update. +2025-11-04 13:35:56,669 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:56,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:56,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:56,670 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:56,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=14.71, mean=-0.08822, std=2.863, absmax=14.71 +2025-11-04 13:35:56,672 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=11.93, mean=-0.08466, std=2.655, absmax=11.93 +2025-11-04 13:35:57,028 ERROR: Encountered non-finite generator loss at iter 23325; skipping update. +2025-11-04 13:35:57,030 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,031 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,031 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:57,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=11.51, mean=-0.2201, std=2.663, absmax=13.28 +2025-11-04 13:35:57,032 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.18, mean=-0.2048, std=2.533, absmax=12.81 +2025-11-04 13:35:57,389 ERROR: Encountered non-finite generator loss at iter 23326; skipping update. +2025-11-04 13:35:57,390 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,391 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,391 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:57,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.8, mean=-0.0875, std=2.82, absmax=13.35 +2025-11-04 13:35:57,392 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=11.35, mean=-0.08493, std=2.716, absmax=13.16 +2025-11-04 13:35:57,749 ERROR: Encountered non-finite generator loss at iter 23327; skipping update. +2025-11-04 13:35:57,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:57,751 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:57,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.01, mean=-0.1371, std=3.421, absmax=14.01 +2025-11-04 13:35:57,753 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=12.9, mean=-0.1361, std=3.212, absmax=12.9 +2025-11-04 13:35:58,110 ERROR: Encountered non-finite generator loss at iter 23328; skipping update. +2025-11-04 13:35:58,111 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,112 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,113 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:58,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=15.42, mean=0.08396, std=3.756, absmax=15.42 +2025-11-04 13:35:58,114 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=14.8, mean=0.1122, std=3.499, absmax=14.8 +2025-11-04 13:35:58,471 ERROR: Encountered non-finite generator loss at iter 23329; skipping update. +2025-11-04 13:35:58,472 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,473 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:58,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=12.84, mean=-0.2517, std=2.559, absmax=14.74 +2025-11-04 13:35:58,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=12.19, mean=-0.2686, std=2.467, absmax=12.99 +2025-11-04 13:35:58,832 ERROR: Encountered non-finite generator loss at iter 23330; skipping update. +2025-11-04 13:35:58,834 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,835 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:58,835 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:58,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.79, mean=-0.1252, std=3.061, absmax=12.18 +2025-11-04 13:35:58,836 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=11.46, mean=-0.1408, std=2.86, absmax=11.95 +2025-11-04 13:35:59,193 ERROR: Encountered non-finite generator loss at iter 23331; skipping update. +2025-11-04 13:35:59,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:59,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=11.51, mean=-0.1875, std=2.686, absmax=13.88 +2025-11-04 13:35:59,197 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.58, max=9.963, mean=-0.1421, std=2.477, absmax=9.963 +2025-11-04 13:35:59,554 ERROR: Encountered non-finite generator loss at iter 23332; skipping update. +2025-11-04 13:35:59,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:59,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.93, mean=-0.006474, std=3.345, absmax=13.93 +2025-11-04 13:35:59,557 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=13.52, mean=0.02981, std=3.122, absmax=13.52 +2025-11-04 13:35:59,915 ERROR: Encountered non-finite generator loss at iter 23333; skipping update. +2025-11-04 13:35:59,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:35:59,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:35:59,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=11.95, mean=-0.07507, std=2.971, absmax=13.76 +2025-11-04 13:35:59,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=10.16, mean=-0.04606, std=2.738, absmax=12.21 +2025-11-04 13:36:00,275 ERROR: Encountered non-finite generator loss at iter 23334; skipping update. +2025-11-04 13:36:00,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:00,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.04, mean=-0.1985, std=2.92, absmax=11.62 +2025-11-04 13:36:00,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=12.82, mean=-0.1456, std=2.984, absmax=12.82 +2025-11-04 13:36:00,636 ERROR: Encountered non-finite generator loss at iter 23335; skipping update. +2025-11-04 13:36:00,637 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,638 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,638 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:00,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=14.19, mean=-0.05909, std=2.941, absmax=14.19 +2025-11-04 13:36:00,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=12.76, mean=-0.06036, std=2.784, absmax=12.76 +2025-11-04 13:36:00,997 ERROR: Encountered non-finite generator loss at iter 23336; skipping update. +2025-11-04 13:36:00,998 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,999 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:00,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:01,000 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=17.64, mean=-0.3994, std=3.287, absmax=17.64 +2025-11-04 13:36:01,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=14.98, mean=-0.3732, std=3.168, absmax=14.98 +2025-11-04 13:36:01,357 ERROR: Encountered non-finite generator loss at iter 23337; skipping update. +2025-11-04 13:36:01,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:01,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:01,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:01,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:01,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.6, mean=-0.1522, std=2.818, absmax=12.6 +2025-11-04 13:36:01,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=10.75, mean=-0.1305, std=2.598, absmax=11.48 +2025-11-04 13:36:01,719 ERROR: Encountered non-finite generator loss at iter 23338; skipping update. +2025-11-04 13:36:01,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:01,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:01,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:01,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:01,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=11.81, mean=-0.2887, std=3.376, absmax=12.93 +2025-11-04 13:36:01,722 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=11.4, mean=-0.3098, std=3.156, absmax=12.65 +2025-11-04 13:36:02,080 ERROR: Encountered non-finite generator loss at iter 23339; skipping update. +2025-11-04 13:36:02,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,081 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,082 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:02,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.44, mean=-0.1148, std=2.828, absmax=13.11 +2025-11-04 13:36:02,083 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=12.13, mean=-0.06847, std=2.749, absmax=12.37 +2025-11-04 13:36:02,441 ERROR: Encountered non-finite generator loss at iter 23340; skipping update. +2025-11-04 13:36:02,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,443 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,443 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:02,444 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.15, mean=-0.1025, std=2.658, absmax=12.15 +2025-11-04 13:36:02,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.35, mean=-0.07288, std=2.427, absmax=10.63 +2025-11-04 13:36:02,802 ERROR: Encountered non-finite generator loss at iter 23341; skipping update. +2025-11-04 13:36:02,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:02,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:02,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.43, mean=-0.2475, std=2.761, absmax=12.98 +2025-11-04 13:36:02,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=10.27, mean=-0.2387, std=2.589, absmax=10.65 +2025-11-04 13:36:03,163 ERROR: Encountered non-finite generator loss at iter 23342; skipping update. +2025-11-04 13:36:03,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,165 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,165 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,166 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:03,166 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.53, mean=-0.1153, std=3.716, absmax=13.59 +2025-11-04 13:36:03,167 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.29, mean=-0.106, std=3.377, absmax=12.29 +2025-11-04 13:36:03,524 ERROR: Encountered non-finite generator loss at iter 23343; skipping update. +2025-11-04 13:36:03,526 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,527 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,527 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:03,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=10.74, mean=-0.327, std=2.743, absmax=13.64 +2025-11-04 13:36:03,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=9.389, mean=-0.3296, std=2.636, absmax=11.47 +2025-11-04 13:36:03,885 ERROR: Encountered non-finite generator loss at iter 23344; skipping update. +2025-11-04 13:36:03,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:03,888 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:03,888 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.45, mean=0.03947, std=3.775, absmax=13.88 +2025-11-04 13:36:03,889 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=12.23, mean=0.08067, std=3.413, absmax=12.84 +2025-11-04 13:36:04,246 ERROR: Encountered non-finite generator loss at iter 23345; skipping update. +2025-11-04 13:36:04,247 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,248 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,249 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:04,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=15.16, mean=-0.05645, std=3.482, absmax=15.16 +2025-11-04 13:36:04,250 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=15.04, mean=-0.01171, std=3.328, absmax=15.04 +2025-11-04 13:36:04,607 ERROR: Encountered non-finite generator loss at iter 23346; skipping update. +2025-11-04 13:36:04,608 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,609 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,609 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:04,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=13.52, mean=-0.3164, std=2.892, absmax=13.52 +2025-11-04 13:36:04,610 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.79, mean=-0.2586, std=2.716, absmax=12.79 +2025-11-04 13:36:04,967 ERROR: Encountered non-finite generator loss at iter 23347; skipping update. +2025-11-04 13:36:04,968 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,969 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:04,969 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:04,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.43, mean=-0.1527, std=2.594, absmax=11.76 +2025-11-04 13:36:04,970 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=10.03, mean=-0.1115, std=2.5, absmax=10.05 +2025-11-04 13:36:05,327 ERROR: Encountered non-finite generator loss at iter 23348; skipping update. +2025-11-04 13:36:05,328 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:05,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:05,329 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:05,330 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:05,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.36, mean=-0.2242, std=2.649, absmax=12.36 +2025-11-04 13:36:05,331 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=11.82, mean=-0.2585, std=2.505, absmax=12.16 +2025-11-04 13:36:05,688 ERROR: Encountered non-finite generator loss at iter 23349; skipping update. +2025-11-04 13:36:05,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:05,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:05,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:05,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:05,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.59, mean=-0.1425, std=2.896, absmax=12.94 +2025-11-04 13:36:05,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=12.75, mean=-0.1279, std=2.659, absmax=12.75 +2025-11-04 13:36:06,049 ERROR: Encountered non-finite generator loss at iter 23350; skipping update. +2025-11-04 13:36:06,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:06,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=10.02, mean=-0.05288, std=2.388, absmax=12.03 +2025-11-04 13:36:06,052 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=9.744, mean=-0.02876, std=2.291, absmax=10.4 +2025-11-04 13:36:06,408 ERROR: Encountered non-finite generator loss at iter 23351; skipping update. +2025-11-04 13:36:06,410 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,411 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:06,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.01, mean=-0.1917, std=2.964, absmax=15.01 +2025-11-04 13:36:06,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=14.88, mean=-0.1737, std=2.797, absmax=14.88 +2025-11-04 13:36:06,769 ERROR: Encountered non-finite generator loss at iter 23352; skipping update. +2025-11-04 13:36:06,770 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,771 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:06,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:06,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.64, mean=-0.1327, std=2.793, absmax=13.64 +2025-11-04 13:36:06,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.31, mean=-0.1059, std=2.539, absmax=11.37 +2025-11-04 13:36:07,129 ERROR: Encountered non-finite generator loss at iter 23353; skipping update. +2025-11-04 13:36:07,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,130 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,131 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:07,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.23, mean=0.1219, std=2.999, absmax=13.23 +2025-11-04 13:36:07,132 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=12.28, mean=0.06169, std=2.8, absmax=12.28 +2025-11-04 13:36:07,488 ERROR: Encountered non-finite generator loss at iter 23354; skipping update. +2025-11-04 13:36:07,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:07,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=16.54, mean=-0.1307, std=3.041, absmax=16.54 +2025-11-04 13:36:07,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=12.86, mean=-0.1655, std=2.875, absmax=12.86 +2025-11-04 13:36:07,849 ERROR: Encountered non-finite generator loss at iter 23355; skipping update. +2025-11-04 13:36:07,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:07,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:07,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.47, mean=0.04888, std=3.237, absmax=12.47 +2025-11-04 13:36:07,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=11, mean=0.04283, std=2.921, absmax=11 +2025-11-04 13:36:08,209 ERROR: Encountered non-finite generator loss at iter 23356; skipping update. +2025-11-04 13:36:08,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:08,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.8, mean=-0.09156, std=2.769, absmax=12.56 +2025-11-04 13:36:08,213 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=11.74, mean=-0.1142, std=2.584, absmax=12 +2025-11-04 13:36:08,570 ERROR: Encountered non-finite generator loss at iter 23357; skipping update. +2025-11-04 13:36:08,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:08,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=12.91, mean=-0.1175, std=2.781, absmax=12.91 +2025-11-04 13:36:08,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=12.22, mean=-0.1019, std=2.514, absmax=12.22 +2025-11-04 13:36:08,931 ERROR: Encountered non-finite generator loss at iter 23358; skipping update. +2025-11-04 13:36:08,932 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,933 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:08,933 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:08,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.93, mean=0.02062, std=3.049, absmax=13.42 +2025-11-04 13:36:08,934 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.93, mean=0.03935, std=2.948, absmax=11.93 +2025-11-04 13:36:09,291 ERROR: Encountered non-finite generator loss at iter 23359; skipping update. +2025-11-04 13:36:09,292 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:09,292 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:09,292 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:09,293 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:09,293 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=14.98, mean=-0.04353, std=3.228, absmax=14.98 +2025-11-04 13:36:09,294 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.01, mean=-0.0742, std=2.831, absmax=11.96 +2025-11-04 13:36:09,651 ERROR: Encountered non-finite generator loss at iter 23360; skipping update. +2025-11-04 13:36:09,652 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:09,652 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:09,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:09,653 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:09,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=13.58, mean=-0.3251, std=3.492, absmax=14.21 +2025-11-04 13:36:09,654 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.62, mean=-0.285, std=3.227, absmax=12.58 +2025-11-04 13:36:10,011 ERROR: Encountered non-finite generator loss at iter 23361; skipping update. +2025-11-04 13:36:10,012 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,012 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,013 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:10,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=18.27, mean=-0.02578, std=3.018, absmax=18.27 +2025-11-04 13:36:10,014 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=16.56, mean=-0.04382, std=2.807, absmax=16.56 +2025-11-04 13:36:10,371 ERROR: Encountered non-finite generator loss at iter 23362; skipping update. +2025-11-04 13:36:10,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,373 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:10,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=13.01, mean=-0.2698, std=3.151, absmax=14.76 +2025-11-04 13:36:10,374 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=10.98, mean=-0.235, std=2.937, absmax=12.24 +2025-11-04 13:36:10,731 ERROR: Encountered non-finite generator loss at iter 23363; skipping update. +2025-11-04 13:36:10,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:10,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:10,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=9.954, mean=-0.2878, std=2.829, absmax=12.93 +2025-11-04 13:36:10,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=8.839, mean=-0.2702, std=2.844, absmax=12.41 +2025-11-04 13:36:11,091 ERROR: Encountered non-finite generator loss at iter 23364; skipping update. +2025-11-04 13:36:11,091 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,093 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:11,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.1, max=13.32, mean=-0.03933, std=3.095, absmax=13.32 +2025-11-04 13:36:11,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=11.88, mean=0.03502, std=2.992, absmax=11.88 +2025-11-04 13:36:11,451 ERROR: Encountered non-finite generator loss at iter 23365; skipping update. +2025-11-04 13:36:11,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,452 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:11,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=12.09, mean=-0.1733, std=2.37, absmax=12.09 +2025-11-04 13:36:11,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=10.13, mean=-0.1547, std=2.099, absmax=11.19 +2025-11-04 13:36:11,811 ERROR: Encountered non-finite generator loss at iter 23366; skipping update. +2025-11-04 13:36:11,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:11,815 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:11,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.21, mean=-0.1247, std=2.684, absmax=12.21 +2025-11-04 13:36:11,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.898, max=10.98, mean=-0.1388, std=2.463, absmax=10.98 +2025-11-04 13:36:12,176 ERROR: Encountered non-finite generator loss at iter 23367; skipping update. +2025-11-04 13:36:12,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:12,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=10.99, mean=-0.2521, std=2.602, absmax=11.83 +2025-11-04 13:36:12,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=8.839, mean=-0.2347, std=2.463, absmax=12.85 +2025-11-04 13:36:12,540 ERROR: Encountered non-finite generator loss at iter 23368; skipping update. +2025-11-04 13:36:12,541 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,542 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,542 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:12,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.46, mean=-0.183, std=2.696, absmax=13.46 +2025-11-04 13:36:12,544 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=10.68, mean=-0.1559, std=2.569, absmax=10.8 +2025-11-04 13:36:12,903 ERROR: Encountered non-finite generator loss at iter 23369; skipping update. +2025-11-04 13:36:12,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:12,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:12,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=12.12, mean=-0.2671, std=3.009, absmax=13.33 +2025-11-04 13:36:12,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=12.04, mean=-0.2816, std=2.834, absmax=12.04 +2025-11-04 13:36:13,265 ERROR: Encountered non-finite generator loss at iter 23370; skipping update. +2025-11-04 13:36:13,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:13,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=15.31, mean=-0.2673, std=2.981, absmax=15.31 +2025-11-04 13:36:13,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=13.59, mean=-0.2429, std=2.801, absmax=13.59 +2025-11-04 13:36:13,627 ERROR: Encountered non-finite generator loss at iter 23371; skipping update. +2025-11-04 13:36:13,628 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,629 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,629 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:13,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=9.895, mean=-0.3074, std=2.598, absmax=12.38 +2025-11-04 13:36:13,630 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=8.479, mean=-0.3109, std=2.409, absmax=11.82 +2025-11-04 13:36:13,988 ERROR: Encountered non-finite generator loss at iter 23372; skipping update. +2025-11-04 13:36:13,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:13,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:13,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=10.96, mean=-0.2694, std=2.701, absmax=11.87 +2025-11-04 13:36:13,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=8.91, mean=-0.2459, std=2.451, absmax=10.85 +2025-11-04 13:36:14,348 ERROR: Encountered non-finite generator loss at iter 23373; skipping update. +2025-11-04 13:36:14,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:14,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:14,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:14,351 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:14,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.68, max=12.76, mean=-0.1715, std=3.454, absmax=17.68 +2025-11-04 13:36:14,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-17.55, max=12.45, mean=-0.1208, std=3.072, absmax=17.55 +2025-11-04 13:36:14,709 ERROR: Encountered non-finite generator loss at iter 23374; skipping update. +2025-11-04 13:36:14,710 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:14,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:14,711 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:14,711 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:14,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.01, mean=-0.2376, std=2.975, absmax=13.01 +2025-11-04 13:36:14,713 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.46, mean=-0.1792, std=2.738, absmax=11.46 +2025-11-04 13:36:15,070 ERROR: Encountered non-finite generator loss at iter 23375; skipping update. +2025-11-04 13:36:15,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,072 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,072 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:15,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=13.74, mean=-0.1863, std=3.138, absmax=14.62 +2025-11-04 13:36:15,073 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=10.9, mean=-0.1741, std=2.861, absmax=11.74 +2025-11-04 13:36:15,431 ERROR: Encountered non-finite generator loss at iter 23376; skipping update. +2025-11-04 13:36:15,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:15,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.66, mean=-0.01501, std=3.605, absmax=13.82 +2025-11-04 13:36:15,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.81, max=12.29, mean=-0.03103, std=3.358, absmax=14.81 +2025-11-04 13:36:15,791 ERROR: Encountered non-finite generator loss at iter 23377; skipping update. +2025-11-04 13:36:15,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,793 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:15,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:15,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=16.79, mean=-0.1868, std=2.33, absmax=16.79 +2025-11-04 13:36:15,794 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=11.75, mean=-0.1546, std=2.192, absmax=11.75 +2025-11-04 13:36:16,151 ERROR: Encountered non-finite generator loss at iter 23378; skipping update. +2025-11-04 13:36:16,152 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,153 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:16,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=10.18, mean=-0.2504, std=2.63, absmax=12.34 +2025-11-04 13:36:16,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=9.397, mean=-0.2258, std=2.438, absmax=11.01 +2025-11-04 13:36:16,511 ERROR: Encountered non-finite generator loss at iter 23379; skipping update. +2025-11-04 13:36:16,512 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,513 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,513 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:16,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.05, mean=-0.2697, std=3.156, absmax=13.73 +2025-11-04 13:36:16,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=10.82, mean=-0.2825, std=3.019, absmax=12.57 +2025-11-04 13:36:16,876 ERROR: Encountered non-finite generator loss at iter 23380; skipping update. +2025-11-04 13:36:16,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,878 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:16,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:16,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=11.67, mean=-0.3072, std=2.646, absmax=11.67 +2025-11-04 13:36:16,880 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=9.676, mean=-0.3119, std=2.569, absmax=12.34 +2025-11-04 13:36:17,239 ERROR: Encountered non-finite generator loss at iter 23381; skipping update. +2025-11-04 13:36:17,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,241 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,242 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:17,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.03, mean=-0.1177, std=2.656, absmax=12.69 +2025-11-04 13:36:17,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.904, max=10.37, mean=-0.1096, std=2.447, absmax=10.37 +2025-11-04 13:36:17,602 ERROR: Encountered non-finite generator loss at iter 23382; skipping update. +2025-11-04 13:36:17,603 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,605 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:17,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.43, mean=0.0468, std=3.107, absmax=13.43 +2025-11-04 13:36:17,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=11.69, mean=0.06626, std=2.809, absmax=11.69 +2025-11-04 13:36:17,965 ERROR: Encountered non-finite generator loss at iter 23383; skipping update. +2025-11-04 13:36:17,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:17,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:17,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=15.02, mean=-0.1525, std=2.865, absmax=15.02 +2025-11-04 13:36:17,969 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=13.9, mean=-0.1673, std=2.766, absmax=13.9 +2025-11-04 13:36:18,328 ERROR: Encountered non-finite generator loss at iter 23384; skipping update. +2025-11-04 13:36:18,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:18,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:18,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:18,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:18,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=16.41, mean=0.2943, std=4.342, absmax=16.41 +2025-11-04 13:36:18,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=15.57, mean=0.2921, std=4.005, absmax=15.57 +2025-11-04 13:36:18,690 ERROR: Encountered non-finite generator loss at iter 23385; skipping update. +2025-11-04 13:36:18,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:18,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:18,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:18,693 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:18,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.44, mean=-0.02553, std=2.956, absmax=13.81 +2025-11-04 13:36:18,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.53, max=12.4, mean=-0.04155, std=2.754, absmax=14.53 +2025-11-04 13:36:19,053 ERROR: Encountered non-finite generator loss at iter 23386; skipping update. +2025-11-04 13:36:19,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:19,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=15.22, mean=-0.1107, std=2.861, absmax=15.22 +2025-11-04 13:36:19,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=12.22, mean=-0.1379, std=2.685, absmax=12.22 +2025-11-04 13:36:19,413 ERROR: Encountered non-finite generator loss at iter 23387; skipping update. +2025-11-04 13:36:19,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:19,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.92, mean=-0.173, std=3.086, absmax=12.92 +2025-11-04 13:36:19,417 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=11.92, mean=-0.1978, std=2.833, absmax=12.52 +2025-11-04 13:36:19,773 ERROR: Encountered non-finite generator loss at iter 23388; skipping update. +2025-11-04 13:36:19,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:19,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:19,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=13.74, mean=-0.2596, std=3.04, absmax=13.88 +2025-11-04 13:36:19,777 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=10.14, mean=-0.2398, std=2.887, absmax=13.67 +2025-11-04 13:36:20,135 ERROR: Encountered non-finite generator loss at iter 23389; skipping update. +2025-11-04 13:36:20,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,136 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,137 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:20,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.31, mean=-0.3712, std=2.495, absmax=12.29 +2025-11-04 13:36:20,138 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=9.863, mean=-0.35, std=2.331, absmax=10.98 +2025-11-04 13:36:20,495 ERROR: Encountered non-finite generator loss at iter 23390; skipping update. +2025-11-04 13:36:20,496 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,497 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,498 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:20,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.56, mean=-0.002813, std=2.641, absmax=13.56 +2025-11-04 13:36:20,499 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=10.61, mean=-0.02626, std=2.475, absmax=11.22 +2025-11-04 13:36:20,856 ERROR: Encountered non-finite generator loss at iter 23391; skipping update. +2025-11-04 13:36:20,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,858 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:20,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:20,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=14.2, mean=-0.2702, std=3.369, absmax=14.45 +2025-11-04 13:36:20,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.56, mean=-0.2738, std=3.133, absmax=13.03 +2025-11-04 13:36:21,217 ERROR: Encountered non-finite generator loss at iter 23392; skipping update. +2025-11-04 13:36:21,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,219 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:21,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=14.81, mean=-0.1125, std=3.624, absmax=14.81 +2025-11-04 13:36:21,220 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=12.3, mean=-0.1409, std=3.358, absmax=12.86 +2025-11-04 13:36:21,577 ERROR: Encountered non-finite generator loss at iter 23393; skipping update. +2025-11-04 13:36:21,578 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,580 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:21,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=14.09, mean=-0.001377, std=3.205, absmax=14.09 +2025-11-04 13:36:21,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=12.57, mean=-0.01582, std=2.923, absmax=12.62 +2025-11-04 13:36:21,939 ERROR: Encountered non-finite generator loss at iter 23394; skipping update. +2025-11-04 13:36:21,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:21,941 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:21,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.51, mean=-0.03177, std=3.244, absmax=14.51 +2025-11-04 13:36:21,942 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.46, mean=-0.01073, std=2.981, absmax=12.46 +2025-11-04 13:36:22,300 ERROR: Encountered non-finite generator loss at iter 23395; skipping update. +2025-11-04 13:36:22,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:22,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:22,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:22,302 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:22,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.54, mean=-0.06578, std=3.437, absmax=14.54 +2025-11-04 13:36:22,303 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.93, mean=-0.02447, std=3.191, absmax=12.93 +2025-11-04 13:36:22,660 ERROR: Encountered non-finite generator loss at iter 23396; skipping update. +2025-11-04 13:36:22,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:22,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:22,662 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:22,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:22,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.77, mean=-0.2709, std=2.733, absmax=14.01 +2025-11-04 13:36:22,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=10.55, mean=-0.2405, std=2.483, absmax=11.9 +2025-11-04 13:36:23,022 ERROR: Encountered non-finite generator loss at iter 23397; skipping update. +2025-11-04 13:36:23,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:23,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=11.26, mean=-0.08757, std=2.565, absmax=11.49 +2025-11-04 13:36:23,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=11.03, mean=-0.05818, std=2.454, absmax=11.03 +2025-11-04 13:36:23,382 ERROR: Encountered non-finite generator loss at iter 23398; skipping update. +2025-11-04 13:36:23,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:23,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=12.86, mean=-0.01072, std=2.957, absmax=15.27 +2025-11-04 13:36:23,386 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.44, max=11.15, mean=-0.03167, std=2.793, absmax=13.44 +2025-11-04 13:36:23,743 ERROR: Encountered non-finite generator loss at iter 23399; skipping update. +2025-11-04 13:36:23,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:23,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:23,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.25, mean=-0.216, std=3.403, absmax=13.46 +2025-11-04 13:36:23,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=11.55, mean=-0.2375, std=3.106, absmax=11.57 +2025-11-04 13:36:24,104 ERROR: Encountered non-finite generator loss at iter 23400; skipping update. +2025-11-04 13:36:24,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:24,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.38, max=16.58, mean=0.08159, std=3.327, absmax=18.38 +2025-11-04 13:36:24,108 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.57, max=12.22, mean=0.06593, std=3.026, absmax=16.57 +2025-11-04 13:36:24,108 INFO: [38..][epoch: 0, step: 23,400, lr:(2.000e-04,)] [eta: 1 day, 4:44:22, time (data): 0.361 (0.000)] +2025-11-04 13:36:24,464 ERROR: Encountered non-finite generator loss at iter 23401; skipping update. +2025-11-04 13:36:24,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:24,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.82, mean=-0.3092, std=2.859, absmax=13.82 +2025-11-04 13:36:24,468 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=12.54, mean=-0.2938, std=2.632, absmax=12.57 +2025-11-04 13:36:24,826 ERROR: Encountered non-finite generator loss at iter 23402; skipping update. +2025-11-04 13:36:24,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,828 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:24,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:24,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.61, mean=-0.266, std=2.841, absmax=12.84 +2025-11-04 13:36:24,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=13.25, mean=-0.2092, std=2.685, absmax=13.25 +2025-11-04 13:36:25,186 ERROR: Encountered non-finite generator loss at iter 23403; skipping update. +2025-11-04 13:36:25,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,188 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:25,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=15.19, mean=0.09294, std=3.377, absmax=15.19 +2025-11-04 13:36:25,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=14.77, mean=0.1276, std=3.267, absmax=14.77 +2025-11-04 13:36:25,546 ERROR: Encountered non-finite generator loss at iter 23404; skipping update. +2025-11-04 13:36:25,547 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,548 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:25,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.41, mean=-0.2766, std=2.993, absmax=13.41 +2025-11-04 13:36:25,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=13.03, mean=-0.2663, std=2.909, absmax=13.03 +2025-11-04 13:36:25,907 ERROR: Encountered non-finite generator loss at iter 23405; skipping update. +2025-11-04 13:36:25,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,909 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:25,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:25,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.74, mean=-0.04663, std=2.833, absmax=11.74 +2025-11-04 13:36:25,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=11.14, mean=-0.03106, std=2.596, absmax=11.14 +2025-11-04 13:36:26,267 ERROR: Encountered non-finite generator loss at iter 23406; skipping update. +2025-11-04 13:36:26,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,269 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,270 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:26,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.07, mean=-0.1497, std=2.94, absmax=14.07 +2025-11-04 13:36:26,271 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=13.14, mean=-0.135, std=2.701, absmax=13.14 +2025-11-04 13:36:26,628 ERROR: Encountered non-finite generator loss at iter 23407; skipping update. +2025-11-04 13:36:26,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:26,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.23, max=12.28, mean=-0.1677, std=3.167, absmax=15.23 +2025-11-04 13:36:26,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=10.52, mean=-0.1664, std=2.96, absmax=13.03 +2025-11-04 13:36:26,987 ERROR: Encountered non-finite generator loss at iter 23408; skipping update. +2025-11-04 13:36:26,988 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,989 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:26,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:26,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.54, mean=-0.1311, std=3.375, absmax=14.54 +2025-11-04 13:36:26,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=12.44, mean=-0.143, std=3.118, absmax=12.44 +2025-11-04 13:36:27,348 ERROR: Encountered non-finite generator loss at iter 23409; skipping update. +2025-11-04 13:36:27,349 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:27,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:27,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:27,350 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:27,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.95, mean=-0.05493, std=2.695, absmax=11.95 +2025-11-04 13:36:27,351 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=11.08, mean=-0.07234, std=2.553, absmax=11.08 +2025-11-04 13:36:27,708 ERROR: Encountered non-finite generator loss at iter 23410; skipping update. +2025-11-04 13:36:27,709 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:27,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:27,710 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:27,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:27,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.33, mean=-0.01305, std=3.369, absmax=13.33 +2025-11-04 13:36:27,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.76, mean=-0.02306, std=3.074, absmax=11.76 +2025-11-04 13:36:28,067 ERROR: Encountered non-finite generator loss at iter 23411; skipping update. +2025-11-04 13:36:28,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:28,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.09, mean=-0.1491, std=2.841, absmax=13.09 +2025-11-04 13:36:28,071 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=11.36, mean=-0.1559, std=2.596, absmax=11.36 +2025-11-04 13:36:28,427 ERROR: Encountered non-finite generator loss at iter 23412; skipping update. +2025-11-04 13:36:28,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,430 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:28,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.4, mean=-0.1787, std=2.602, absmax=12.4 +2025-11-04 13:36:28,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=9.937, mean=-0.1523, std=2.401, absmax=10.82 +2025-11-04 13:36:28,788 ERROR: Encountered non-finite generator loss at iter 23413; skipping update. +2025-11-04 13:36:28,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:28,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:28,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=10.57, mean=-0.2242, std=2.623, absmax=12.37 +2025-11-04 13:36:28,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=10, mean=-0.2271, std=2.429, absmax=11.35 +2025-11-04 13:36:29,149 ERROR: Encountered non-finite generator loss at iter 23414; skipping update. +2025-11-04 13:36:29,150 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,151 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,151 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:29,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.33, mean=-0.04752, std=3.45, absmax=14.05 +2025-11-04 13:36:29,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.38, mean=-0.03519, std=3.165, absmax=12.38 +2025-11-04 13:36:29,509 ERROR: Encountered non-finite generator loss at iter 23415; skipping update. +2025-11-04 13:36:29,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,511 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:29,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.34, max=14, mean=-0.1731, std=3.226, absmax=16.34 +2025-11-04 13:36:29,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.77, max=12.31, mean=-0.1821, std=2.952, absmax=14.77 +2025-11-04 13:36:29,872 ERROR: Encountered non-finite generator loss at iter 23416; skipping update. +2025-11-04 13:36:29,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:29,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:29,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.11, mean=-0.1403, std=2.847, absmax=12.17 +2025-11-04 13:36:29,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=12.45, mean=-0.1674, std=2.689, absmax=12.45 +2025-11-04 13:36:30,233 ERROR: Encountered non-finite generator loss at iter 23417; skipping update. +2025-11-04 13:36:30,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:30,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.42, mean=-0.3014, std=2.929, absmax=13.27 +2025-11-04 13:36:30,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.13, mean=-0.3111, std=2.813, absmax=11.91 +2025-11-04 13:36:30,593 ERROR: Encountered non-finite generator loss at iter 23418; skipping update. +2025-11-04 13:36:30,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,596 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:30,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12, mean=-0.3043, std=3.521, absmax=12.82 +2025-11-04 13:36:30,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.27, mean=-0.2516, std=3.3, absmax=11.91 +2025-11-04 13:36:30,954 ERROR: Encountered non-finite generator loss at iter 23419; skipping update. +2025-11-04 13:36:30,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:30,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:30,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=13.7, mean=-0.01797, std=3.295, absmax=13.7 +2025-11-04 13:36:30,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=12.9, mean=-0.04693, std=3.171, absmax=12.9 +2025-11-04 13:36:31,315 ERROR: Encountered non-finite generator loss at iter 23420; skipping update. +2025-11-04 13:36:31,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:31,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:31,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:31,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:31,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=16.73, mean=-0.077, std=3.161, absmax=16.73 +2025-11-04 13:36:31,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=10.59, mean=-0.06331, std=2.824, absmax=10.59 +2025-11-04 13:36:31,675 ERROR: Encountered non-finite generator loss at iter 23421; skipping update. +2025-11-04 13:36:31,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:31,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:31,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:31,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:31,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=14.36, mean=-0.227, std=3.56, absmax=14.55 +2025-11-04 13:36:31,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=10.2, mean=-0.2568, std=3.266, absmax=12.34 +2025-11-04 13:36:32,037 ERROR: Encountered non-finite generator loss at iter 23422; skipping update. +2025-11-04 13:36:32,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:32,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.71, mean=-0.2906, std=3.074, absmax=11.8 +2025-11-04 13:36:32,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=11.38, mean=-0.2108, std=2.88, absmax=11.38 +2025-11-04 13:36:32,398 ERROR: Encountered non-finite generator loss at iter 23423; skipping update. +2025-11-04 13:36:32,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:32,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=11.74, mean=-0.1796, std=2.933, absmax=11.74 +2025-11-04 13:36:32,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=11.61, mean=-0.1056, std=2.83, absmax=11.61 +2025-11-04 13:36:32,759 ERROR: Encountered non-finite generator loss at iter 23424; skipping update. +2025-11-04 13:36:32,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,761 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:32,761 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:32,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.36, mean=-0.0901, std=3.385, absmax=13.86 +2025-11-04 13:36:32,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=13.15, mean=-0.07364, std=3.186, absmax=13.15 +2025-11-04 13:36:33,122 ERROR: Encountered non-finite generator loss at iter 23425; skipping update. +2025-11-04 13:36:33,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,124 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:33,125 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=14.58, mean=-0.1166, std=2.456, absmax=14.58 +2025-11-04 13:36:33,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=12.81, mean=-0.1025, std=2.407, absmax=12.81 +2025-11-04 13:36:33,483 ERROR: Encountered non-finite generator loss at iter 23426; skipping update. +2025-11-04 13:36:33,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,485 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:33,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=12.94, mean=-0.3035, std=2.899, absmax=14.39 +2025-11-04 13:36:33,487 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=9.813, mean=-0.3109, std=2.653, absmax=12.42 +2025-11-04 13:36:33,844 ERROR: Encountered non-finite generator loss at iter 23427; skipping update. +2025-11-04 13:36:33,845 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,846 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,846 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:33,846 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:33,847 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.18, mean=0.1836, std=3.499, absmax=14.18 +2025-11-04 13:36:33,848 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=12.59, mean=0.1727, std=3.218, absmax=12.59 +2025-11-04 13:36:34,205 ERROR: Encountered non-finite generator loss at iter 23428; skipping update. +2025-11-04 13:36:34,206 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,207 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,208 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:34,208 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=10.13, mean=-0.3029, std=2.674, absmax=12.44 +2025-11-04 13:36:34,209 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=9.033, mean=-0.2971, std=2.569, absmax=11.38 +2025-11-04 13:36:34,566 ERROR: Encountered non-finite generator loss at iter 23429; skipping update. +2025-11-04 13:36:34,567 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,568 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,569 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:34,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.48, mean=-0.1777, std=3.035, absmax=12.48 +2025-11-04 13:36:34,570 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.06, mean=-0.1513, std=2.821, absmax=11.06 +2025-11-04 13:36:34,927 ERROR: Encountered non-finite generator loss at iter 23430; skipping update. +2025-11-04 13:36:34,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:34,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:34,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=15.48, mean=-0.13, std=3.258, absmax=15.48 +2025-11-04 13:36:34,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.29, mean=-0.1731, std=3.009, absmax=12.29 +2025-11-04 13:36:35,288 ERROR: Encountered non-finite generator loss at iter 23431; skipping update. +2025-11-04 13:36:35,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:35,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:35,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:35,290 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:35,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.67, mean=-0.2927, std=2.792, absmax=12.04 +2025-11-04 13:36:35,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=10.64, mean=-0.2553, std=2.545, absmax=11.27 +2025-11-04 13:36:35,649 ERROR: Encountered non-finite generator loss at iter 23432; skipping update. +2025-11-04 13:36:35,651 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:35,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:35,652 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:35,652 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:35,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=12.11, mean=-0.211, std=2.914, absmax=12.11 +2025-11-04 13:36:35,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.36, mean=-0.2531, std=2.767, absmax=11.38 +2025-11-04 13:36:36,010 ERROR: Encountered non-finite generator loss at iter 23433; skipping update. +2025-11-04 13:36:36,012 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,012 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,013 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:36,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.03, mean=-0.02871, std=3.667, absmax=14.03 +2025-11-04 13:36:36,014 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=13, mean=-0.06401, std=3.387, absmax=13 +2025-11-04 13:36:36,372 ERROR: Encountered non-finite generator loss at iter 23434; skipping update. +2025-11-04 13:36:36,373 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:36,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=10.48, mean=-0.1855, std=2.53, absmax=11.43 +2025-11-04 13:36:36,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.774, max=10.84, mean=-0.1569, std=2.34, absmax=10.84 +2025-11-04 13:36:36,733 ERROR: Encountered non-finite generator loss at iter 23435; skipping update. +2025-11-04 13:36:36,734 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,735 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:36,735 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:36,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=15.45, mean=-0.3041, std=2.827, absmax=15.45 +2025-11-04 13:36:36,737 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=13.13, mean=-0.2934, std=2.618, absmax=13.13 +2025-11-04 13:36:37,094 ERROR: Encountered non-finite generator loss at iter 23436; skipping update. +2025-11-04 13:36:37,095 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,096 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,096 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:37,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.17, mean=0.17, std=3.756, absmax=13.17 +2025-11-04 13:36:37,097 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=12.53, mean=0.1889, std=3.425, absmax=12.53 +2025-11-04 13:36:37,455 ERROR: Encountered non-finite generator loss at iter 23437; skipping update. +2025-11-04 13:36:37,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:37,459 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=9.441, mean=-0.1375, std=2.889, absmax=11.87 +2025-11-04 13:36:37,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=10.17, mean=-0.08491, std=2.695, absmax=10.8 +2025-11-04 13:36:37,816 ERROR: Encountered non-finite generator loss at iter 23438; skipping update. +2025-11-04 13:36:37,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,818 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:37,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:37,819 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.1, max=13.82, mean=-0.154, std=3.15, absmax=16.1 +2025-11-04 13:36:37,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=10.95, mean=-0.1819, std=2.767, absmax=12.76 +2025-11-04 13:36:38,177 ERROR: Encountered non-finite generator loss at iter 23439; skipping update. +2025-11-04 13:36:38,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:38,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=12.23, mean=0.02907, std=3.185, absmax=12.23 +2025-11-04 13:36:38,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.608, max=11.26, mean=0.07314, std=2.99, absmax=11.26 +2025-11-04 13:36:38,538 ERROR: Encountered non-finite generator loss at iter 23440; skipping update. +2025-11-04 13:36:38,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,540 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:38,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=12.8, mean=-0.04316, std=3.568, absmax=13.38 +2025-11-04 13:36:38,542 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.74, mean=-0.04519, std=3.226, absmax=12.74 +2025-11-04 13:36:38,900 ERROR: Encountered non-finite generator loss at iter 23441; skipping update. +2025-11-04 13:36:38,901 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,902 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:38,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:38,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.94, max=11.84, mean=-0.05663, std=2.866, absmax=11.84 +2025-11-04 13:36:38,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=11.81, mean=-0.03826, std=2.666, absmax=11.81 +2025-11-04 13:36:39,261 ERROR: Encountered non-finite generator loss at iter 23442; skipping update. +2025-11-04 13:36:39,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,263 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,263 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:39,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.88, mean=-0.2323, std=3.184, absmax=13.88 +2025-11-04 13:36:39,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=12.13, mean=-0.2225, std=3.011, absmax=12.13 +2025-11-04 13:36:39,623 ERROR: Encountered non-finite generator loss at iter 23443; skipping update. +2025-11-04 13:36:39,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:39,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=10.65, mean=-0.2078, std=2.797, absmax=12.82 +2025-11-04 13:36:39,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=9.826, mean=-0.1829, std=2.598, absmax=10.09 +2025-11-04 13:36:39,984 ERROR: Encountered non-finite generator loss at iter 23444; skipping update. +2025-11-04 13:36:39,985 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,986 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:39,986 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:39,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.98, mean=-0.05492, std=3.105, absmax=11.98 +2025-11-04 13:36:39,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=11.15, mean=-0.04337, std=3.037, absmax=11.16 +2025-11-04 13:36:40,345 ERROR: Encountered non-finite generator loss at iter 23445; skipping update. +2025-11-04 13:36:40,346 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:40,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:40,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:40,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:40,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=10.61, mean=-0.2613, std=2.044, absmax=10.67 +2025-11-04 13:36:40,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=10.08, mean=-0.242, std=2.031, absmax=10.69 +2025-11-04 13:36:40,706 ERROR: Encountered non-finite generator loss at iter 23446; skipping update. +2025-11-04 13:36:40,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:40,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:40,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:40,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:40,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=10.61, mean=-0.2589, std=2.959, absmax=14.41 +2025-11-04 13:36:40,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.77, max=10.03, mean=-0.2383, std=2.77, absmax=13.77 +2025-11-04 13:36:41,067 ERROR: Encountered non-finite generator loss at iter 23447; skipping update. +2025-11-04 13:36:41,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:41,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.77, max=13.18, mean=-0.002565, std=2.953, absmax=13.18 +2025-11-04 13:36:41,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.22, max=12.02, mean=-0.04086, std=2.753, absmax=12.02 +2025-11-04 13:36:41,428 ERROR: Encountered non-finite generator loss at iter 23448; skipping update. +2025-11-04 13:36:41,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,430 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:41,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=9.76, mean=-0.1206, std=2.768, absmax=11.08 +2025-11-04 13:36:41,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.42, mean=-0.1348, std=2.654, absmax=11.42 +2025-11-04 13:36:41,788 ERROR: Encountered non-finite generator loss at iter 23449; skipping update. +2025-11-04 13:36:41,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:41,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:41,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.84, mean=-0.2634, std=2.923, absmax=13.04 +2025-11-04 13:36:41,792 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=10.7, mean=-0.2343, std=2.657, absmax=10.82 +2025-11-04 13:36:42,148 ERROR: Encountered non-finite generator loss at iter 23450; skipping update. +2025-11-04 13:36:42,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,151 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:42,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=20.94, mean=-0.3153, std=3.037, absmax=20.94 +2025-11-04 13:36:42,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=18.42, mean=-0.3067, std=2.861, absmax=18.42 +2025-11-04 13:36:42,509 ERROR: Encountered non-finite generator loss at iter 23451; skipping update. +2025-11-04 13:36:42,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,511 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:42,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.46, mean=-0.007915, std=3.292, absmax=13.46 +2025-11-04 13:36:42,512 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.54, max=11.9, mean=0.0002092, std=3.007, absmax=12.54 +2025-11-04 13:36:42,869 ERROR: Encountered non-finite generator loss at iter 23452; skipping update. +2025-11-04 13:36:42,870 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,871 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:42,871 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:42,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=13.98, mean=-0.09411, std=3.572, absmax=14.06 +2025-11-04 13:36:42,873 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=11.95, mean=-0.0224, std=3.393, absmax=13.04 +2025-11-04 13:36:43,230 ERROR: Encountered non-finite generator loss at iter 23453; skipping update. +2025-11-04 13:36:43,231 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:43,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=11.17, mean=-0.2587, std=2.335, absmax=11.17 +2025-11-04 13:36:43,234 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.466, max=9.438, mean=-0.2491, std=2.242, absmax=9.466 +2025-11-04 13:36:43,590 ERROR: Encountered non-finite generator loss at iter 23454; skipping update. +2025-11-04 13:36:43,591 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,592 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:43,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=16.83, mean=0.2186, std=3.684, absmax=16.83 +2025-11-04 13:36:43,594 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=15.64, mean=0.1807, std=3.339, absmax=15.64 +2025-11-04 13:36:43,951 ERROR: Encountered non-finite generator loss at iter 23455; skipping update. +2025-11-04 13:36:43,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:43,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:43,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.41, mean=-0.1998, std=3.183, absmax=12.41 +2025-11-04 13:36:43,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=11.98, mean=-0.1946, std=3.066, absmax=11.98 +2025-11-04 13:36:44,311 ERROR: Encountered non-finite generator loss at iter 23456; skipping update. +2025-11-04 13:36:44,312 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:44,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:44,313 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:44,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:44,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=12.32, mean=-0.2707, std=2.673, absmax=12.32 +2025-11-04 13:36:44,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.434, max=9.895, mean=-0.2581, std=2.474, absmax=9.895 +2025-11-04 13:36:44,672 ERROR: Encountered non-finite generator loss at iter 23457; skipping update. +2025-11-04 13:36:44,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:44,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:44,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:44,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:44,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.78, mean=0.1099, std=3.477, absmax=12.78 +2025-11-04 13:36:44,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=12.19, mean=0.06235, std=3.175, absmax=12.31 +2025-11-04 13:36:45,032 ERROR: Encountered non-finite generator loss at iter 23458; skipping update. +2025-11-04 13:36:45,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:45,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=10.56, mean=-0.2504, std=2.83, absmax=14.73 +2025-11-04 13:36:45,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.19, max=10.47, mean=-0.2383, std=2.785, absmax=14.19 +2025-11-04 13:36:45,393 ERROR: Encountered non-finite generator loss at iter 23459; skipping update. +2025-11-04 13:36:45,394 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,395 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:45,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=15.04, mean=-0.1293, std=3.053, absmax=15.04 +2025-11-04 13:36:45,396 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=13.12, mean=-0.08931, std=2.825, absmax=13.12 +2025-11-04 13:36:45,753 ERROR: Encountered non-finite generator loss at iter 23460; skipping update. +2025-11-04 13:36:45,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:45,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:45,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=15.73, mean=0.05548, std=3.145, absmax=15.73 +2025-11-04 13:36:45,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=14.89, mean=0.07256, std=2.927, absmax=14.89 +2025-11-04 13:36:46,114 ERROR: Encountered non-finite generator loss at iter 23461; skipping update. +2025-11-04 13:36:46,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,116 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:46,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=17.64, mean=-0.01174, std=3.689, absmax=17.64 +2025-11-04 13:36:46,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=14.35, mean=-0.01614, std=3.49, absmax=14.35 +2025-11-04 13:36:46,474 ERROR: Encountered non-finite generator loss at iter 23462; skipping update. +2025-11-04 13:36:46,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,477 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:46,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.35, mean=-0.1694, std=2.911, absmax=13.35 +2025-11-04 13:36:46,478 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.99, mean=-0.171, std=2.727, absmax=11.99 +2025-11-04 13:36:46,835 ERROR: Encountered non-finite generator loss at iter 23463; skipping update. +2025-11-04 13:36:46,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:46,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:46,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.89, mean=0.09137, std=3.483, absmax=14.89 +2025-11-04 13:36:46,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=13.7, mean=0.1204, std=3.24, absmax=13.7 +2025-11-04 13:36:47,196 ERROR: Encountered non-finite generator loss at iter 23464; skipping update. +2025-11-04 13:36:47,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:47,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=10.56, mean=-0.2872, std=2.338, absmax=11.8 +2025-11-04 13:36:47,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=8.827, mean=-0.2565, std=2.22, absmax=10.5 +2025-11-04 13:36:47,557 ERROR: Encountered non-finite generator loss at iter 23465; skipping update. +2025-11-04 13:36:47,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:47,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=14.21, mean=-0.158, std=3.418, absmax=14.21 +2025-11-04 13:36:47,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=14.05, mean=-0.1234, std=3.259, absmax=14.05 +2025-11-04 13:36:47,918 ERROR: Encountered non-finite generator loss at iter 23466; skipping update. +2025-11-04 13:36:47,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:47,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:47,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=18.04, mean=-0.1557, std=2.651, absmax=18.04 +2025-11-04 13:36:47,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.498, max=16.7, mean=-0.1485, std=2.453, absmax=16.7 +2025-11-04 13:36:48,279 ERROR: Encountered non-finite generator loss at iter 23467; skipping update. +2025-11-04 13:36:48,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:48,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:48,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:48,282 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:48,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.81, mean=-0.05346, std=2.798, absmax=12.18 +2025-11-04 13:36:48,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=11.23, mean=-0.07917, std=2.663, absmax=11.23 +2025-11-04 13:36:48,641 ERROR: Encountered non-finite generator loss at iter 23468; skipping update. +2025-11-04 13:36:48,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:48,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:48,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:48,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:48,644 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.16, max=8.94, mean=-0.2208, std=2.009, absmax=10.16 +2025-11-04 13:36:48,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.841, max=8.648, mean=-0.2515, std=1.908, absmax=8.841 +2025-11-04 13:36:49,003 ERROR: Encountered non-finite generator loss at iter 23469; skipping update. +2025-11-04 13:36:49,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,005 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:49,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=15.86, mean=-0.1754, std=2.847, absmax=15.86 +2025-11-04 13:36:49,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=14.67, mean=-0.1737, std=2.717, absmax=14.67 +2025-11-04 13:36:49,363 ERROR: Encountered non-finite generator loss at iter 23470; skipping update. +2025-11-04 13:36:49,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,365 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:49,366 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.27, mean=-0.1769, std=2.768, absmax=13.27 +2025-11-04 13:36:49,366 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=12.54, mean=-0.1355, std=2.559, absmax=12.54 +2025-11-04 13:36:49,724 ERROR: Encountered non-finite generator loss at iter 23471; skipping update. +2025-11-04 13:36:49,725 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:49,727 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:49,727 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=14.84, mean=-0.1046, std=2.762, absmax=14.84 +2025-11-04 13:36:49,728 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=12.58, mean=-0.06307, std=2.606, absmax=12.58 +2025-11-04 13:36:50,085 ERROR: Encountered non-finite generator loss at iter 23472; skipping update. +2025-11-04 13:36:50,087 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,088 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,088 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:50,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=9.993, mean=-0.1129, std=2.582, absmax=11.08 +2025-11-04 13:36:50,089 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=9.708, mean=-0.1053, std=2.517, absmax=10.35 +2025-11-04 13:36:50,446 ERROR: Encountered non-finite generator loss at iter 23473; skipping update. +2025-11-04 13:36:50,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:50,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=10.4, mean=-0.2778, std=2.47, absmax=12.58 +2025-11-04 13:36:50,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=8.62, mean=-0.2418, std=2.418, absmax=10.92 +2025-11-04 13:36:50,807 ERROR: Encountered non-finite generator loss at iter 23474; skipping update. +2025-11-04 13:36:50,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:50,809 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:50,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=10.69, mean=-0.338, std=2.933, absmax=14.52 +2025-11-04 13:36:50,810 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=9.55, mean=-0.3057, std=2.83, absmax=12.92 +2025-11-04 13:36:51,167 ERROR: Encountered non-finite generator loss at iter 23475; skipping update. +2025-11-04 13:36:51,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:51,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=11.27, mean=-0.3054, std=2.577, absmax=11.27 +2025-11-04 13:36:51,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=10.68, mean=-0.3262, std=2.458, absmax=10.68 +2025-11-04 13:36:51,528 ERROR: Encountered non-finite generator loss at iter 23476; skipping update. +2025-11-04 13:36:51,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,530 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:51,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=15.95, mean=-0.1004, std=2.82, absmax=15.95 +2025-11-04 13:36:51,531 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=14.64, mean=-0.0599, std=2.621, absmax=14.64 +2025-11-04 13:36:51,888 ERROR: Encountered non-finite generator loss at iter 23477; skipping update. +2025-11-04 13:36:51,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:51,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:51,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=14.93, mean=-0.2849, std=3.209, absmax=14.93 +2025-11-04 13:36:51,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.79, mean=-0.2619, std=3.007, absmax=12.79 +2025-11-04 13:36:52,248 ERROR: Encountered non-finite generator loss at iter 23478; skipping update. +2025-11-04 13:36:52,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,251 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:52,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.38, max=12.62, mean=-0.1976, std=3.187, absmax=17.38 +2025-11-04 13:36:52,252 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.14, max=12.22, mean=-0.153, std=2.97, absmax=13.14 +2025-11-04 13:36:52,608 ERROR: Encountered non-finite generator loss at iter 23479; skipping update. +2025-11-04 13:36:52,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,611 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:52,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=10.86, mean=-0.1377, std=2.71, absmax=12.43 +2025-11-04 13:36:52,612 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=9.997, mean=-0.1707, std=2.503, absmax=11.47 +2025-11-04 13:36:52,969 ERROR: Encountered non-finite generator loss at iter 23480; skipping update. +2025-11-04 13:36:52,970 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:52,971 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:52,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=16.24, mean=-0.1827, std=3.296, absmax=16.24 +2025-11-04 13:36:52,972 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=14.47, mean=-0.1471, std=3.049, absmax=14.47 +2025-11-04 13:36:53,328 ERROR: Encountered non-finite generator loss at iter 23481; skipping update. +2025-11-04 13:36:53,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:53,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:53,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:53,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:53,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.21, mean=-0.2314, std=3.127, absmax=13.22 +2025-11-04 13:36:53,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=9.349, mean=-0.208, std=2.932, absmax=11.95 +2025-11-04 13:36:53,688 ERROR: Encountered non-finite generator loss at iter 23482; skipping update. +2025-11-04 13:36:53,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:53,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:53,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:53,690 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:53,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.36, max=11.52, mean=-0.2423, std=2.432, absmax=11.52 +2025-11-04 13:36:53,691 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.918, max=10.92, mean=-0.2083, std=2.284, absmax=10.92 +2025-11-04 13:36:54,047 ERROR: Encountered non-finite generator loss at iter 23483; skipping update. +2025-11-04 13:36:54,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,050 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:54,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=11.13, mean=-0.3701, std=3.016, absmax=14.28 +2025-11-04 13:36:54,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=8.919, mean=-0.3255, std=2.76, absmax=12.17 +2025-11-04 13:36:54,408 ERROR: Encountered non-finite generator loss at iter 23484; skipping update. +2025-11-04 13:36:54,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,410 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:54,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=14.87, mean=-0.2673, std=3.038, absmax=14.87 +2025-11-04 13:36:54,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=14.04, mean=-0.2284, std=2.796, absmax=14.04 +2025-11-04 13:36:54,768 ERROR: Encountered non-finite generator loss at iter 23485; skipping update. +2025-11-04 13:36:54,769 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,770 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:54,770 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:54,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.22, mean=-0.3673, std=3.397, absmax=14.22 +2025-11-04 13:36:54,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=12.43, mean=-0.3476, std=3.345, absmax=13.26 +2025-11-04 13:36:55,128 ERROR: Encountered non-finite generator loss at iter 23486; skipping update. +2025-11-04 13:36:55,129 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,130 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,130 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:55,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.89, mean=-0.2944, std=3.164, absmax=13.89 +2025-11-04 13:36:55,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=13.52, mean=-0.2656, std=2.862, absmax=13.52 +2025-11-04 13:36:55,488 ERROR: Encountered non-finite generator loss at iter 23487; skipping update. +2025-11-04 13:36:55,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,490 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:55,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=10.93, mean=-0.1907, std=3.064, absmax=12.9 +2025-11-04 13:36:55,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=9.269, mean=-0.1819, std=2.937, absmax=12.1 +2025-11-04 13:36:55,849 ERROR: Encountered non-finite generator loss at iter 23488; skipping update. +2025-11-04 13:36:55,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:55,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:55,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=16.38, mean=-0.1965, std=3.416, absmax=16.38 +2025-11-04 13:36:55,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=15.44, mean=-0.2081, std=3.152, absmax=15.44 +2025-11-04 13:36:56,209 ERROR: Encountered non-finite generator loss at iter 23489; skipping update. +2025-11-04 13:36:56,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:56,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.02, mean=-0.1869, std=2.431, absmax=13.02 +2025-11-04 13:36:56,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=10.7, mean=-0.1645, std=2.186, absmax=10.7 +2025-11-04 13:36:56,568 ERROR: Encountered non-finite generator loss at iter 23490; skipping update. +2025-11-04 13:36:56,570 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:56,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=10.91, mean=-0.1866, std=3.318, absmax=13.42 +2025-11-04 13:36:56,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=10.28, mean=-0.1831, std=3.108, absmax=12.71 +2025-11-04 13:36:56,928 ERROR: Encountered non-finite generator loss at iter 23491; skipping update. +2025-11-04 13:36:56,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:56,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:56,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.87, max=11.18, mean=-0.3153, std=2.967, absmax=15.87 +2025-11-04 13:36:56,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.89, max=10.47, mean=-0.3725, std=2.898, absmax=13.89 +2025-11-04 13:36:57,288 ERROR: Encountered non-finite generator loss at iter 23492; skipping update. +2025-11-04 13:36:57,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:57,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:57,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:57,290 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:57,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=14.22, mean=-0.0728, std=3.22, absmax=14.22 +2025-11-04 13:36:57,291 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=13.27, mean=-0.06871, std=3.101, absmax=13.27 +2025-11-04 13:36:57,648 ERROR: Encountered non-finite generator loss at iter 23493; skipping update. +2025-11-04 13:36:57,648 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:57,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:57,650 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:57,650 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:57,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.07, mean=-0.1052, std=3.213, absmax=13.87 +2025-11-04 13:36:57,651 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=12.23, mean=-0.1254, std=3.087, absmax=12.37 +2025-11-04 13:36:58,008 ERROR: Encountered non-finite generator loss at iter 23494; skipping update. +2025-11-04 13:36:58,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,010 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:58,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=13.15, mean=-0.1912, std=3.071, absmax=13.15 +2025-11-04 13:36:58,011 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=13.02, mean=-0.2209, std=2.946, absmax=13.02 +2025-11-04 13:36:58,367 ERROR: Encountered non-finite generator loss at iter 23495; skipping update. +2025-11-04 13:36:58,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:58,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=16.18, mean=0.1145, std=3.565, absmax=16.18 +2025-11-04 13:36:58,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=14.32, mean=0.1016, std=3.231, absmax=14.32 +2025-11-04 13:36:58,728 ERROR: Encountered non-finite generator loss at iter 23496; skipping update. +2025-11-04 13:36:58,729 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,730 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:58,731 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:58,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=14.18, mean=-0.1102, std=2.838, absmax=14.18 +2025-11-04 13:36:58,732 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=12.4, mean=-0.08695, std=2.666, absmax=12.4 +2025-11-04 13:36:59,089 ERROR: Encountered non-finite generator loss at iter 23497; skipping update. +2025-11-04 13:36:59,090 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,091 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,092 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:59,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.81, mean=-0.2465, std=2.732, absmax=12.12 +2025-11-04 13:36:59,093 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=10.61, mean=-0.227, std=2.585, absmax=10.61 +2025-11-04 13:36:59,449 ERROR: Encountered non-finite generator loss at iter 23498; skipping update. +2025-11-04 13:36:59,450 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,451 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,452 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:59,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.17, mean=-0.1774, std=2.916, absmax=13.17 +2025-11-04 13:36:59,453 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.65, mean=-0.1811, std=2.618, absmax=11.65 +2025-11-04 13:36:59,810 ERROR: Encountered non-finite generator loss at iter 23499; skipping update. +2025-11-04 13:36:59,811 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,812 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:36:59,812 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:36:59,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.32, mean=-0.1736, std=2.687, absmax=12.27 +2025-11-04 13:36:59,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=10.14, mean=-0.2058, std=2.521, absmax=10.14 +2025-11-04 13:37:00,172 ERROR: Encountered non-finite generator loss at iter 23500; skipping update. +2025-11-04 13:37:00,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,174 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:00,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.85, max=15.49, mean=0.1416, std=3.983, absmax=16.85 +2025-11-04 13:37:00,175 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-17.69, max=15.21, mean=0.2015, std=3.892, absmax=17.69 +2025-11-04 13:37:00,176 INFO: [38..][epoch: 0, step: 23,500, lr:(2.000e-04,)] [eta: 1 day, 4:37:56, time (data): 0.361 (0.000)] +2025-11-04 13:37:00,533 ERROR: Encountered non-finite generator loss at iter 23501; skipping update. +2025-11-04 13:37:00,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:00,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.69, max=13.63, mean=-0.08946, std=3.197, absmax=14.69 +2025-11-04 13:37:00,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.78, max=12.25, mean=-0.07472, std=3.069, absmax=13.78 +2025-11-04 13:37:00,893 ERROR: Encountered non-finite generator loss at iter 23502; skipping update. +2025-11-04 13:37:00,894 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:00,895 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:00,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.92, mean=-0.1466, std=2.965, absmax=12.92 +2025-11-04 13:37:00,897 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.44, mean=-0.1696, std=2.695, absmax=11.44 +2025-11-04 13:37:01,254 ERROR: Encountered non-finite generator loss at iter 23503; skipping update. +2025-11-04 13:37:01,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:01,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.79, mean=-0.19, std=2.879, absmax=13.75 +2025-11-04 13:37:01,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=11.06, mean=-0.2233, std=2.711, absmax=12.5 +2025-11-04 13:37:01,615 ERROR: Encountered non-finite generator loss at iter 23504; skipping update. +2025-11-04 13:37:01,616 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,617 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,617 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,618 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:01,618 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.44, mean=-0.1635, std=2.861, absmax=13.44 +2025-11-04 13:37:01,619 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=15.31, mean=-0.1775, std=2.789, absmax=15.31 +2025-11-04 13:37:01,975 ERROR: Encountered non-finite generator loss at iter 23505; skipping update. +2025-11-04 13:37:01,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:01,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:01,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.74, max=12.37, mean=-0.2305, std=2.701, absmax=17.74 +2025-11-04 13:37:01,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-16.4, max=11.78, mean=-0.2245, std=2.535, absmax=16.4 +2025-11-04 13:37:02,336 ERROR: Encountered non-finite generator loss at iter 23506; skipping update. +2025-11-04 13:37:02,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:02,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:02,338 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:02,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:02,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.62, mean=-0.1114, std=2.919, absmax=12.62 +2025-11-04 13:37:02,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=13.02, mean=-0.058, std=2.858, absmax=13.02 +2025-11-04 13:37:02,697 ERROR: Encountered non-finite generator loss at iter 23507; skipping update. +2025-11-04 13:37:02,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:02,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:02,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:02,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:02,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=14.06, mean=-0.1162, std=3.236, absmax=14.06 +2025-11-04 13:37:02,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=12.41, mean=-0.0855, std=3.096, absmax=12.41 +2025-11-04 13:37:03,057 ERROR: Encountered non-finite generator loss at iter 23508; skipping update. +2025-11-04 13:37:03,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:03,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=16.49, mean=0.1146, std=3.133, absmax=16.49 +2025-11-04 13:37:03,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=13, mean=0.09221, std=2.873, absmax=13 +2025-11-04 13:37:03,417 ERROR: Encountered non-finite generator loss at iter 23509; skipping update. +2025-11-04 13:37:03,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:03,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.45, mean=-0.1594, std=3.162, absmax=12.45 +2025-11-04 13:37:03,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=11.21, mean=-0.1801, std=2.923, absmax=12.06 +2025-11-04 13:37:03,777 ERROR: Encountered non-finite generator loss at iter 23510; skipping update. +2025-11-04 13:37:03,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:03,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:03,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=13.55, mean=-0.09935, std=2.684, absmax=13.55 +2025-11-04 13:37:03,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=12.56, mean=-0.1358, std=2.573, absmax=12.56 +2025-11-04 13:37:04,138 ERROR: Encountered non-finite generator loss at iter 23511; skipping update. +2025-11-04 13:37:04,139 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,140 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,140 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:04,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=14.3, mean=-0.1474, std=2.835, absmax=14.3 +2025-11-04 13:37:04,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.13, mean=-0.164, std=2.714, absmax=12.13 +2025-11-04 13:37:04,498 ERROR: Encountered non-finite generator loss at iter 23512; skipping update. +2025-11-04 13:37:04,499 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,500 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,500 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:04,501 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.16, mean=-0.0004684, std=3.461, absmax=15.16 +2025-11-04 13:37:04,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=15.04, mean=-0.0247, std=3.298, absmax=15.04 +2025-11-04 13:37:04,859 ERROR: Encountered non-finite generator loss at iter 23513; skipping update. +2025-11-04 13:37:04,860 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,861 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:04,861 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:04,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=14.23, mean=-0.05016, std=2.618, absmax=14.23 +2025-11-04 13:37:04,862 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.57, mean=-0.04698, std=2.44, absmax=12.57 +2025-11-04 13:37:05,220 ERROR: Encountered non-finite generator loss at iter 23514; skipping update. +2025-11-04 13:37:05,221 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,222 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,222 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:05,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.07, mean=-0.1461, std=2.874, absmax=12.56 +2025-11-04 13:37:05,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=9.633, mean=-0.09787, std=2.639, absmax=10.48 +2025-11-04 13:37:05,580 ERROR: Encountered non-finite generator loss at iter 23515; skipping update. +2025-11-04 13:37:05,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,582 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:05,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=12.03, mean=-0.2446, std=3.165, absmax=14.9 +2025-11-04 13:37:05,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.88, max=10.57, mean=-0.2728, std=2.918, absmax=14.88 +2025-11-04 13:37:05,941 ERROR: Encountered non-finite generator loss at iter 23516; skipping update. +2025-11-04 13:37:05,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:05,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:05,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.78, mean=-0.02973, std=3.284, absmax=14.78 +2025-11-04 13:37:05,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=12.65, mean=-0.02741, std=3.035, absmax=12.65 +2025-11-04 13:37:06,302 ERROR: Encountered non-finite generator loss at iter 23517; skipping update. +2025-11-04 13:37:06,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:06,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:06,304 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:06,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:06,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=14.37, mean=-0.1669, std=3.516, absmax=14.37 +2025-11-04 13:37:06,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=13.51, mean=-0.1912, std=3.312, absmax=13.51 +2025-11-04 13:37:06,662 ERROR: Encountered non-finite generator loss at iter 23518; skipping update. +2025-11-04 13:37:06,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:06,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:06,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:06,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:06,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=12.1, mean=-0.2434, std=2.955, absmax=14.78 +2025-11-04 13:37:06,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=11.31, mean=-0.2283, std=2.733, absmax=12.47 +2025-11-04 13:37:07,022 ERROR: Encountered non-finite generator loss at iter 23519; skipping update. +2025-11-04 13:37:07,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:07,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=12.93, mean=0.07283, std=3.241, absmax=15.07 +2025-11-04 13:37:07,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.25, mean=0.001884, std=3.015, absmax=12.25 +2025-11-04 13:37:07,384 ERROR: Encountered non-finite generator loss at iter 23520; skipping update. +2025-11-04 13:37:07,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:07,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.49, mean=-0.2518, std=3.108, absmax=12.87 +2025-11-04 13:37:07,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.87, mean=-0.22, std=2.878, absmax=11.39 +2025-11-04 13:37:07,745 ERROR: Encountered non-finite generator loss at iter 23521; skipping update. +2025-11-04 13:37:07,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:07,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:07,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.37, mean=-0.206, std=3.399, absmax=13.94 +2025-11-04 13:37:07,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=11.42, mean=-0.2177, std=3.207, absmax=12.84 +2025-11-04 13:37:08,104 ERROR: Encountered non-finite generator loss at iter 23522; skipping update. +2025-11-04 13:37:08,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:08,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.32, mean=-0.1907, std=3.351, absmax=13.32 +2025-11-04 13:37:08,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.6, mean=-0.1732, std=3.083, absmax=11.6 +2025-11-04 13:37:08,464 ERROR: Encountered non-finite generator loss at iter 23523; skipping update. +2025-11-04 13:37:08,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:08,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=15.12, mean=-0.1141, std=3.225, absmax=15.12 +2025-11-04 13:37:08,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=13.28, mean=-0.1054, std=3.017, absmax=13.28 +2025-11-04 13:37:08,825 ERROR: Encountered non-finite generator loss at iter 23524; skipping update. +2025-11-04 13:37:08,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:08,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:08,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=15.76, mean=-0.1822, std=3.319, absmax=15.76 +2025-11-04 13:37:08,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.72, mean=-0.1725, std=3.01, absmax=12.95 +2025-11-04 13:37:09,186 ERROR: Encountered non-finite generator loss at iter 23525; skipping update. +2025-11-04 13:37:09,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,188 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:09,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=15.42, mean=-0.2192, std=3.109, absmax=15.42 +2025-11-04 13:37:09,190 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.92, mean=-0.1917, std=2.813, absmax=11.92 +2025-11-04 13:37:09,547 ERROR: Encountered non-finite generator loss at iter 23526; skipping update. +2025-11-04 13:37:09,547 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,548 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,548 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:09,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.46, max=10.93, mean=-0.2084, std=2.323, absmax=10.93 +2025-11-04 13:37:09,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.478, max=10.7, mean=-0.1717, std=2.193, absmax=10.7 +2025-11-04 13:37:09,906 ERROR: Encountered non-finite generator loss at iter 23527; skipping update. +2025-11-04 13:37:09,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:09,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:09,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.72, mean=0.0149, std=3.056, absmax=12.63 +2025-11-04 13:37:09,909 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=11.88, mean=0.03617, std=2.862, absmax=11.88 +2025-11-04 13:37:10,267 ERROR: Encountered non-finite generator loss at iter 23528; skipping update. +2025-11-04 13:37:10,268 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,269 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,269 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:10,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=10.61, mean=-0.278, std=2.671, absmax=13.04 +2025-11-04 13:37:10,270 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=8.914, mean=-0.3109, std=2.469, absmax=11.89 +2025-11-04 13:37:10,628 ERROR: Encountered non-finite generator loss at iter 23529; skipping update. +2025-11-04 13:37:10,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:10,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.49, mean=-0.2143, std=2.982, absmax=13.5 +2025-11-04 13:37:10,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.05, mean=-0.2012, std=2.81, absmax=11.68 +2025-11-04 13:37:10,988 ERROR: Encountered non-finite generator loss at iter 23530; skipping update. +2025-11-04 13:37:10,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:10,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:10,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=11.74, mean=-0.236, std=2.888, absmax=14.08 +2025-11-04 13:37:10,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=9.94, mean=-0.2014, std=2.687, absmax=11.77 +2025-11-04 13:37:11,348 ERROR: Encountered non-finite generator loss at iter 23531; skipping update. +2025-11-04 13:37:11,349 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:11,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:11,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:11,350 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:11,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.62, max=11.43, mean=-0.3039, std=2.83, absmax=15.62 +2025-11-04 13:37:11,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=10.14, mean=-0.2981, std=2.659, absmax=13.02 +2025-11-04 13:37:11,709 ERROR: Encountered non-finite generator loss at iter 23532; skipping update. +2025-11-04 13:37:11,710 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:11,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:11,711 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:11,711 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:11,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=12.2, mean=-0.05631, std=2.977, absmax=12.2 +2025-11-04 13:37:11,712 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=12.2, mean=-0.05904, std=2.816, absmax=12.2 +2025-11-04 13:37:12,069 ERROR: Encountered non-finite generator loss at iter 23533; skipping update. +2025-11-04 13:37:12,070 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,071 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,072 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:12,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=14.62, mean=-0.2, std=2.962, absmax=14.62 +2025-11-04 13:37:12,073 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=13.22, mean=-0.152, std=2.789, absmax=13.22 +2025-11-04 13:37:12,429 ERROR: Encountered non-finite generator loss at iter 23534; skipping update. +2025-11-04 13:37:12,430 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,431 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:12,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.76, max=13.99, mean=0.01937, std=2.793, absmax=13.99 +2025-11-04 13:37:12,432 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=13.68, mean=0.02239, std=2.673, absmax=13.68 +2025-11-04 13:37:12,788 ERROR: Encountered non-finite generator loss at iter 23535; skipping update. +2025-11-04 13:37:12,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:12,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:12,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.04, mean=-0.2282, std=3.24, absmax=13.63 +2025-11-04 13:37:12,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=11.78, mean=-0.2304, std=2.886, absmax=12.51 +2025-11-04 13:37:13,149 ERROR: Encountered non-finite generator loss at iter 23536; skipping update. +2025-11-04 13:37:13,150 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,150 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,151 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,151 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:13,152 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.64, mean=-0.2689, std=2.229, absmax=11.3 +2025-11-04 13:37:13,152 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=9.325, mean=-0.2742, std=2.098, absmax=10.08 +2025-11-04 13:37:13,509 ERROR: Encountered non-finite generator loss at iter 23537; skipping update. +2025-11-04 13:37:13,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,511 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:13,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=14.9, mean=-0.1726, std=2.766, absmax=14.9 +2025-11-04 13:37:13,513 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=14.66, mean=-0.1349, std=2.545, absmax=14.66 +2025-11-04 13:37:13,869 ERROR: Encountered non-finite generator loss at iter 23538; skipping update. +2025-11-04 13:37:13,870 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,871 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:13,871 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:13,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.08, max=15.95, mean=-0.1937, std=3.358, absmax=15.95 +2025-11-04 13:37:13,872 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.47, max=14.51, mean=-0.1737, std=3.201, absmax=14.51 +2025-11-04 13:37:14,228 ERROR: Encountered non-finite generator loss at iter 23539; skipping update. +2025-11-04 13:37:14,229 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,230 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,231 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:14,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.95, mean=-0.2229, std=3.037, absmax=12.95 +2025-11-04 13:37:14,232 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.87, mean=-0.1707, std=2.804, absmax=12.87 +2025-11-04 13:37:14,589 ERROR: Encountered non-finite generator loss at iter 23540; skipping update. +2025-11-04 13:37:14,590 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,591 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,591 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:14,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=12.4, mean=-0.04705, std=2.864, absmax=12.68 +2025-11-04 13:37:14,592 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=11.56, mean=-0.01945, std=2.67, absmax=11.56 +2025-11-04 13:37:14,948 ERROR: Encountered non-finite generator loss at iter 23541; skipping update. +2025-11-04 13:37:14,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,951 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:14,951 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:14,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=17.62, mean=-0.2584, std=2.838, absmax=17.62 +2025-11-04 13:37:14,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=15.88, mean=-0.2273, std=2.736, absmax=15.88 +2025-11-04 13:37:15,309 ERROR: Encountered non-finite generator loss at iter 23542; skipping update. +2025-11-04 13:37:15,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:15,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:15,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:15,312 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:15,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=11.87, mean=-0.08369, std=3.084, absmax=12.2 +2025-11-04 13:37:15,313 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=10.79, mean=-0.139, std=2.79, absmax=11.66 +2025-11-04 13:37:15,669 ERROR: Encountered non-finite generator loss at iter 23543; skipping update. +2025-11-04 13:37:15,670 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:15,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:15,671 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:15,671 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:15,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=9.361, mean=-0.2446, std=2.284, absmax=11.53 +2025-11-04 13:37:15,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=8.327, mean=-0.2269, std=2.134, absmax=10.34 +2025-11-04 13:37:16,031 ERROR: Encountered non-finite generator loss at iter 23544; skipping update. +2025-11-04 13:37:16,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:16,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.61, mean=-0.1354, std=3.282, absmax=13.61 +2025-11-04 13:37:16,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.16, mean=-0.1277, std=3.04, absmax=12.16 +2025-11-04 13:37:16,391 ERROR: Encountered non-finite generator loss at iter 23545; skipping update. +2025-11-04 13:37:16,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,394 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:16,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.49, max=12.49, mean=-0.2845, std=3.346, absmax=16.49 +2025-11-04 13:37:16,396 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.17, max=12.22, mean=-0.3058, std=3.138, absmax=15.17 +2025-11-04 13:37:16,753 ERROR: Encountered non-finite generator loss at iter 23546; skipping update. +2025-11-04 13:37:16,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:16,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:16,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.59, mean=-0.1402, std=3.351, absmax=14.59 +2025-11-04 13:37:16,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=13.11, mean=-0.1545, std=3.196, absmax=13.11 +2025-11-04 13:37:17,114 ERROR: Encountered non-finite generator loss at iter 23547; skipping update. +2025-11-04 13:37:17,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:17,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=11.73, mean=-0.4294, std=3.58, absmax=14.12 +2025-11-04 13:37:17,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=11.24, mean=-0.4109, std=3.297, absmax=12.31 +2025-11-04 13:37:17,476 ERROR: Encountered non-finite generator loss at iter 23548; skipping update. +2025-11-04 13:37:17,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:17,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=15.26, mean=-0.02439, std=2.805, absmax=15.26 +2025-11-04 13:37:17,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=14.89, mean=-0.04126, std=2.626, absmax=14.89 +2025-11-04 13:37:17,837 ERROR: Encountered non-finite generator loss at iter 23549; skipping update. +2025-11-04 13:37:17,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:17,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:17,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=14.24, mean=-0.2311, std=2.979, absmax=14.24 +2025-11-04 13:37:17,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.29, mean=-0.2536, std=2.768, absmax=12.29 +2025-11-04 13:37:18,198 ERROR: Encountered non-finite generator loss at iter 23550; skipping update. +2025-11-04 13:37:18,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:18,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=12.44, mean=-0.1718, std=2.981, absmax=15.25 +2025-11-04 13:37:18,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=11.66, mean=-0.1484, std=2.955, absmax=14.03 +2025-11-04 13:37:18,558 ERROR: Encountered non-finite generator loss at iter 23551; skipping update. +2025-11-04 13:37:18,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:18,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=16.34, mean=-0.2537, std=2.411, absmax=16.34 +2025-11-04 13:37:18,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=13.15, mean=-0.2432, std=2.465, absmax=13.15 +2025-11-04 13:37:18,920 ERROR: Encountered non-finite generator loss at iter 23552; skipping update. +2025-11-04 13:37:18,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,922 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:18,923 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:18,923 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=11.93, mean=-0.02603, std=3.096, absmax=12.6 +2025-11-04 13:37:18,924 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.74, mean=-0.0227, std=2.811, absmax=11.13 +2025-11-04 13:37:19,281 ERROR: Encountered non-finite generator loss at iter 23553; skipping update. +2025-11-04 13:37:19,282 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:19,283 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:19,283 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:19,283 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:19,284 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.72, mean=0.03483, std=2.815, absmax=13.72 +2025-11-04 13:37:19,284 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.62, mean=0.03974, std=2.662, absmax=12.62 +2025-11-04 13:37:19,642 ERROR: Encountered non-finite generator loss at iter 23554; skipping update. +2025-11-04 13:37:19,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:19,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:19,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:19,644 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:19,645 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.7, mean=-0.2621, std=2.937, absmax=12.7 +2025-11-04 13:37:19,645 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=12.18, mean=-0.2437, std=2.725, absmax=12.18 +2025-11-04 13:37:20,002 ERROR: Encountered non-finite generator loss at iter 23555; skipping update. +2025-11-04 13:37:20,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:20,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=16.57, mean=0.0671, std=3.027, absmax=16.57 +2025-11-04 13:37:20,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=13.63, mean=0.0543, std=2.847, absmax=13.63 +2025-11-04 13:37:20,362 ERROR: Encountered non-finite generator loss at iter 23556; skipping update. +2025-11-04 13:37:20,363 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,364 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:20,364 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=15.16, mean=-0.03381, std=3.903, absmax=15.16 +2025-11-04 13:37:20,365 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=15.06, mean=0.02214, std=3.747, absmax=15.06 +2025-11-04 13:37:20,722 ERROR: Encountered non-finite generator loss at iter 23557; skipping update. +2025-11-04 13:37:20,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,723 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:20,723 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:20,724 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=13.96, mean=-0.142, std=2.839, absmax=13.96 +2025-11-04 13:37:20,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=13.49, mean=-0.1857, std=2.657, absmax=13.49 +2025-11-04 13:37:21,081 ERROR: Encountered non-finite generator loss at iter 23558; skipping update. +2025-11-04 13:37:21,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,083 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:21,083 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=15.13, mean=0.05464, std=3.569, absmax=15.13 +2025-11-04 13:37:21,084 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=14.47, mean=0.05253, std=3.291, absmax=14.47 +2025-11-04 13:37:21,441 ERROR: Encountered non-finite generator loss at iter 23559; skipping update. +2025-11-04 13:37:21,442 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,443 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:21,443 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.99, mean=-0.2385, std=2.382, absmax=11.99 +2025-11-04 13:37:21,444 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.79, mean=-0.2473, std=2.243, absmax=12.79 +2025-11-04 13:37:21,801 ERROR: Encountered non-finite generator loss at iter 23560; skipping update. +2025-11-04 13:37:21,802 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,802 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:21,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:21,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=12.97, mean=-0.028, std=2.81, absmax=12.97 +2025-11-04 13:37:21,804 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.29, mean=-0.03627, std=2.654, absmax=11.29 +2025-11-04 13:37:22,161 ERROR: Encountered non-finite generator loss at iter 23561; skipping update. +2025-11-04 13:37:22,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,162 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:22,163 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.49, mean=-0.08053, std=3.58, absmax=14.49 +2025-11-04 13:37:22,164 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.97, mean=-0.08945, std=3.313, absmax=11.97 +2025-11-04 13:37:22,520 ERROR: Encountered non-finite generator loss at iter 23562; skipping update. +2025-11-04 13:37:22,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:22,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=15.86, mean=0.02872, std=3.416, absmax=15.86 +2025-11-04 13:37:22,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.96, max=14.3, mean=0.05349, std=3.076, absmax=14.3 +2025-11-04 13:37:22,879 ERROR: Encountered non-finite generator loss at iter 23563; skipping update. +2025-11-04 13:37:22,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:22,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:22,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=12.26, mean=-0.1733, std=3.163, absmax=14.59 +2025-11-04 13:37:22,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.2, mean=-0.1526, std=2.959, absmax=12.62 +2025-11-04 13:37:23,239 ERROR: Encountered non-finite generator loss at iter 23564; skipping update. +2025-11-04 13:37:23,239 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,240 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,240 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:23,241 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.95, mean=0.1598, std=3.5, absmax=13.95 +2025-11-04 13:37:23,241 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=13.47, mean=0.1272, std=3.296, absmax=13.47 +2025-11-04 13:37:23,598 ERROR: Encountered non-finite generator loss at iter 23565; skipping update. +2025-11-04 13:37:23,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:23,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=10.86, mean=-0.1175, std=2.274, absmax=11.39 +2025-11-04 13:37:23,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.427, max=9.549, mean=-0.1194, std=2.145, absmax=9.549 +2025-11-04 13:37:23,957 ERROR: Encountered non-finite generator loss at iter 23566; skipping update. +2025-11-04 13:37:23,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:23,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:23,960 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=12.89, mean=-0.1605, std=3.016, absmax=14.83 +2025-11-04 13:37:23,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=12.91, mean=-0.1587, std=2.776, absmax=12.91 +2025-11-04 13:37:24,317 ERROR: Encountered non-finite generator loss at iter 23567; skipping update. +2025-11-04 13:37:24,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:24,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:24,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:24,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:24,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.98, max=14.61, mean=-0.04555, std=3.655, absmax=14.98 +2025-11-04 13:37:24,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.56, max=14.56, mean=-0.03713, std=3.587, absmax=14.56 +2025-11-04 13:37:24,677 ERROR: Encountered non-finite generator loss at iter 23568; skipping update. +2025-11-04 13:37:24,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:24,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:24,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:24,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:24,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=12.81, mean=-0.2205, std=3.124, absmax=14.29 +2025-11-04 13:37:24,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.74, mean=-0.2347, std=2.874, absmax=12.34 +2025-11-04 13:37:25,036 ERROR: Encountered non-finite generator loss at iter 23569; skipping update. +2025-11-04 13:37:25,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:25,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=15.52, mean=-0.2457, std=3.11, absmax=15.52 +2025-11-04 13:37:25,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=14.45, mean=-0.2349, std=2.893, absmax=14.45 +2025-11-04 13:37:25,396 ERROR: Encountered non-finite generator loss at iter 23570; skipping update. +2025-11-04 13:37:25,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:25,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=12.96, mean=-0.3104, std=2.998, absmax=12.96 +2025-11-04 13:37:25,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=11.47, mean=-0.3146, std=2.879, absmax=12.01 +2025-11-04 13:37:25,756 ERROR: Encountered non-finite generator loss at iter 23571; skipping update. +2025-11-04 13:37:25,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,757 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:25,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:25,758 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=14.87, mean=-0.109, std=3.05, absmax=14.87 +2025-11-04 13:37:25,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=13.13, mean=-0.05619, std=2.873, absmax=13.13 +2025-11-04 13:37:26,115 ERROR: Encountered non-finite generator loss at iter 23572; skipping update. +2025-11-04 13:37:26,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,117 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:26,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=17.29, mean=-0.0944, std=3.064, absmax=17.29 +2025-11-04 13:37:26,118 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.5, max=12.66, mean=-0.1086, std=2.847, absmax=14.5 +2025-11-04 13:37:26,475 ERROR: Encountered non-finite generator loss at iter 23573; skipping update. +2025-11-04 13:37:26,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,476 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:26,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.22, mean=-0.1127, std=2.901, absmax=13.65 +2025-11-04 13:37:26,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=11.39, mean=-0.1462, std=2.716, absmax=13.67 +2025-11-04 13:37:26,834 ERROR: Encountered non-finite generator loss at iter 23574; skipping update. +2025-11-04 13:37:26,835 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,835 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:26,836 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:26,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=15.37, mean=-0.1749, std=3.263, absmax=15.37 +2025-11-04 13:37:26,837 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.86, max=14.59, mean=-0.1958, std=2.959, absmax=14.59 +2025-11-04 13:37:27,194 ERROR: Encountered non-finite generator loss at iter 23575; skipping update. +2025-11-04 13:37:27,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:27,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=14.78, mean=-0.07001, std=3.308, absmax=14.78 +2025-11-04 13:37:27,197 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=14.92, mean=-0.09457, std=3.133, absmax=14.92 +2025-11-04 13:37:27,553 ERROR: Encountered non-finite generator loss at iter 23576; skipping update. +2025-11-04 13:37:27,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:27,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.88, mean=-0.0009211, std=3.322, absmax=12.88 +2025-11-04 13:37:27,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.81, mean=0.01992, std=3.143, absmax=11.81 +2025-11-04 13:37:27,913 ERROR: Encountered non-finite generator loss at iter 23577; skipping update. +2025-11-04 13:37:27,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:27,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:27,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.92, mean=-0.07371, std=3.025, absmax=13.92 +2025-11-04 13:37:27,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.3, mean=-0.05675, std=3.015, absmax=12.3 +2025-11-04 13:37:28,272 ERROR: Encountered non-finite generator loss at iter 23578; skipping update. +2025-11-04 13:37:28,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,274 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:28,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=12.46, mean=-0.3062, std=2.667, absmax=12.46 +2025-11-04 13:37:28,275 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.31, max=9.503, mean=-0.3103, std=2.458, absmax=10.31 +2025-11-04 13:37:28,631 ERROR: Encountered non-finite generator loss at iter 23579; skipping update. +2025-11-04 13:37:28,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:28,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.56, mean=-0.05993, std=3.1, absmax=13.56 +2025-11-04 13:37:28,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.42, mean=-0.1092, std=2.853, absmax=11.69 +2025-11-04 13:37:28,990 ERROR: Encountered non-finite generator loss at iter 23580; skipping update. +2025-11-04 13:37:28,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,991 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:28,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:28,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.65, mean=-0.03724, std=2.935, absmax=12.65 +2025-11-04 13:37:28,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=13.11, mean=0.0006703, std=2.773, absmax=13.11 +2025-11-04 13:37:29,350 ERROR: Encountered non-finite generator loss at iter 23581; skipping update. +2025-11-04 13:37:29,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:29,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:29,351 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:29,351 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:29,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.57, mean=-0.155, std=3.536, absmax=14.57 +2025-11-04 13:37:29,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=14.35, mean=-0.1444, std=3.356, absmax=14.35 +2025-11-04 13:37:29,709 ERROR: Encountered non-finite generator loss at iter 23582; skipping update. +2025-11-04 13:37:29,710 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:29,710 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:29,710 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:29,711 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:29,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.28, mean=-0.1888, std=2.937, absmax=13.41 +2025-11-04 13:37:29,712 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=10.93, mean=-0.1739, std=2.699, absmax=12.58 +2025-11-04 13:37:30,068 ERROR: Encountered non-finite generator loss at iter 23583; skipping update. +2025-11-04 13:37:30,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:30,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.48, mean=-0.03684, std=3.014, absmax=13.48 +2025-11-04 13:37:30,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.89, mean=-0.04723, std=2.757, absmax=10.99 +2025-11-04 13:37:30,427 ERROR: Encountered non-finite generator loss at iter 23584; skipping update. +2025-11-04 13:37:30,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:30,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=12.4, mean=-0.1781, std=3.329, absmax=13.79 +2025-11-04 13:37:30,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=11.28, mean=-0.152, std=3.172, absmax=14.03 +2025-11-04 13:37:30,786 ERROR: Encountered non-finite generator loss at iter 23585; skipping update. +2025-11-04 13:37:30,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,787 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:30,787 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:30,788 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=16.91, mean=-0.1274, std=3.32, absmax=16.91 +2025-11-04 13:37:30,789 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=15.14, mean=-0.1247, std=3.057, absmax=15.14 +2025-11-04 13:37:31,146 ERROR: Encountered non-finite generator loss at iter 23586; skipping update. +2025-11-04 13:37:31,146 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,147 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,147 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:31,148 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.43, mean=-0.2515, std=2.72, absmax=13.57 +2025-11-04 13:37:31,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=10.33, mean=-0.2332, std=2.519, absmax=12.16 +2025-11-04 13:37:31,505 ERROR: Encountered non-finite generator loss at iter 23587; skipping update. +2025-11-04 13:37:31,506 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,507 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,507 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:31,508 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.43, mean=-0.04382, std=3.324, absmax=13.43 +2025-11-04 13:37:31,508 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.3, mean=-0.03323, std=3.024, absmax=12.3 +2025-11-04 13:37:31,865 ERROR: Encountered non-finite generator loss at iter 23588; skipping update. +2025-11-04 13:37:31,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:31,866 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:31,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.85, mean=-0.2291, std=2.645, absmax=12.53 +2025-11-04 13:37:31,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=10.62, mean=-0.2054, std=2.414, absmax=11.32 +2025-11-04 13:37:32,224 ERROR: Encountered non-finite generator loss at iter 23589; skipping update. +2025-11-04 13:37:32,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:32,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.79, mean=-0.1927, std=3.039, absmax=13.54 +2025-11-04 13:37:32,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=12.28, mean=-0.1629, std=2.76, absmax=12.88 +2025-11-04 13:37:32,584 ERROR: Encountered non-finite generator loss at iter 23590; skipping update. +2025-11-04 13:37:32,584 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,585 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,585 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:32,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=13.16, mean=-0.2391, std=2.488, absmax=13.16 +2025-11-04 13:37:32,586 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.597, max=10.75, mean=-0.2177, std=2.289, absmax=10.75 +2025-11-04 13:37:32,943 ERROR: Encountered non-finite generator loss at iter 23591; skipping update. +2025-11-04 13:37:32,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:32,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:32,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=10.71, mean=-0.232, std=3.122, absmax=14.04 +2025-11-04 13:37:32,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=9.586, mean=-0.2031, std=2.903, absmax=11.76 +2025-11-04 13:37:33,304 ERROR: Encountered non-finite generator loss at iter 23592; skipping update. +2025-11-04 13:37:33,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:33,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:33,305 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:33,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:33,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.1, mean=-0.1861, std=2.847, absmax=14.1 +2025-11-04 13:37:33,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.23, mean=-0.1668, std=2.595, absmax=11.77 +2025-11-04 13:37:33,666 ERROR: Encountered non-finite generator loss at iter 23593; skipping update. +2025-11-04 13:37:33,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:33,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:33,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:33,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:33,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=11.05, mean=-0.1627, std=2.635, absmax=11.33 +2025-11-04 13:37:33,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=10.3, mean=-0.1537, std=2.489, absmax=10.33 +2025-11-04 13:37:34,026 ERROR: Encountered non-finite generator loss at iter 23594; skipping update. +2025-11-04 13:37:34,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:34,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.12, max=13.75, mean=-0.2153, std=3.673, absmax=15.12 +2025-11-04 13:37:34,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.01, max=11.82, mean=-0.1973, std=3.514, absmax=14.01 +2025-11-04 13:37:34,386 ERROR: Encountered non-finite generator loss at iter 23595; skipping update. +2025-11-04 13:37:34,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:34,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.67, mean=-0.163, std=3.49, absmax=13.41 +2025-11-04 13:37:34,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=11.27, mean=-0.1466, std=3.168, absmax=12.09 +2025-11-04 13:37:34,746 ERROR: Encountered non-finite generator loss at iter 23596; skipping update. +2025-11-04 13:37:34,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:34,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:34,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.26, mean=-0.2362, std=2.956, absmax=12.5 +2025-11-04 13:37:34,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=9.763, mean=-0.2043, std=2.738, absmax=11.94 +2025-11-04 13:37:35,107 ERROR: Encountered non-finite generator loss at iter 23597; skipping update. +2025-11-04 13:37:35,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:35,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.25, mean=-0.2087, std=3.207, absmax=14.25 +2025-11-04 13:37:35,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=12.79, mean=-0.2097, std=2.927, absmax=13.04 +2025-11-04 13:37:35,466 ERROR: Encountered non-finite generator loss at iter 23598; skipping update. +2025-11-04 13:37:35,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:35,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.71, mean=-0.2874, std=3.076, absmax=13.71 +2025-11-04 13:37:35,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=13.17, mean=-0.2456, std=2.927, absmax=13.17 +2025-11-04 13:37:35,826 ERROR: Encountered non-finite generator loss at iter 23599; skipping update. +2025-11-04 13:37:35,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:35,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:35,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.31, mean=-0.211, std=3.21, absmax=12.95 +2025-11-04 13:37:35,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=10.18, mean=-0.2098, std=2.794, absmax=12.27 +2025-11-04 13:37:36,186 ERROR: Encountered non-finite generator loss at iter 23600; skipping update. +2025-11-04 13:37:36,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:36,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.23, max=14.02, mean=-0.186, std=2.945, absmax=16.23 +2025-11-04 13:37:36,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14, max=11.75, mean=-0.2047, std=2.739, absmax=14 +2025-11-04 13:37:36,189 INFO: [38..][epoch: 0, step: 23,600, lr:(2.000e-04,)] [eta: 1 day, 4:31:33, time (data): 0.360 (0.000)] +2025-11-04 13:37:36,546 ERROR: Encountered non-finite generator loss at iter 23601; skipping update. +2025-11-04 13:37:36,547 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,547 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,548 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:36,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=14.46, mean=0.07058, std=3.357, absmax=14.74 +2025-11-04 13:37:36,549 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.85, mean=0.08035, std=3.083, absmax=12.97 +2025-11-04 13:37:36,906 ERROR: Encountered non-finite generator loss at iter 23602; skipping update. +2025-11-04 13:37:36,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:36,908 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:36,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.63, mean=-0.09673, std=3.539, absmax=12.67 +2025-11-04 13:37:36,909 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.41, mean=-0.106, std=3.281, absmax=11.41 +2025-11-04 13:37:37,266 ERROR: Encountered non-finite generator loss at iter 23603; skipping update. +2025-11-04 13:37:37,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:37,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=13.47, mean=-0.1188, std=2.839, absmax=13.47 +2025-11-04 13:37:37,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=11.82, mean=-0.1098, std=2.598, absmax=11.82 +2025-11-04 13:37:37,626 ERROR: Encountered non-finite generator loss at iter 23604; skipping update. +2025-11-04 13:37:37,627 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:37,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=14.3, mean=-0.168, std=2.643, absmax=14.3 +2025-11-04 13:37:37,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=12.94, mean=-0.1999, std=2.449, absmax=12.94 +2025-11-04 13:37:37,986 ERROR: Encountered non-finite generator loss at iter 23605; skipping update. +2025-11-04 13:37:37,987 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:37,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:37,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=11.92, mean=-0.2606, std=2.403, absmax=14.48 +2025-11-04 13:37:37,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.56, mean=-0.252, std=2.321, absmax=11.6 +2025-11-04 13:37:38,346 ERROR: Encountered non-finite generator loss at iter 23606; skipping update. +2025-11-04 13:37:38,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:38,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:38,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:38,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:38,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=12.9, mean=-0.1517, std=2.948, absmax=12.9 +2025-11-04 13:37:38,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=9.817, mean=-0.117, std=2.663, absmax=12.25 +2025-11-04 13:37:38,706 ERROR: Encountered non-finite generator loss at iter 23607; skipping update. +2025-11-04 13:37:38,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:38,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:38,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:38,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:38,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.28, mean=-0.3183, std=3.107, absmax=13.01 +2025-11-04 13:37:38,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=9.298, mean=-0.2961, std=2.888, absmax=12.05 +2025-11-04 13:37:39,066 ERROR: Encountered non-finite generator loss at iter 23608; skipping update. +2025-11-04 13:37:39,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:39,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.26, mean=-0.1635, std=2.572, absmax=12.26 +2025-11-04 13:37:39,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.21, mean=-0.1399, std=2.41, absmax=11.56 +2025-11-04 13:37:39,427 ERROR: Encountered non-finite generator loss at iter 23609; skipping update. +2025-11-04 13:37:39,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,428 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:39,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.35, mean=0.1982, std=3.348, absmax=13.35 +2025-11-04 13:37:39,429 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.39, mean=0.1565, std=3.009, absmax=11.77 +2025-11-04 13:37:39,787 ERROR: Encountered non-finite generator loss at iter 23610; skipping update. +2025-11-04 13:37:39,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:39,788 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:39,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=14.53, mean=-0.2704, std=2.715, absmax=14.53 +2025-11-04 13:37:39,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=12.31, mean=-0.2504, std=2.615, absmax=12.31 +2025-11-04 13:37:40,147 ERROR: Encountered non-finite generator loss at iter 23611; skipping update. +2025-11-04 13:37:40,147 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,148 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:40,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=17.49, mean=-0.2589, std=2.975, absmax=17.49 +2025-11-04 13:37:40,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=15.04, mean=-0.244, std=2.723, absmax=15.04 +2025-11-04 13:37:40,506 ERROR: Encountered non-finite generator loss at iter 23612; skipping update. +2025-11-04 13:37:40,507 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:40,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.59, mean=-0.05165, std=3.563, absmax=14.12 +2025-11-04 13:37:40,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.11, max=12.18, mean=-0.07258, std=3.355, absmax=14.11 +2025-11-04 13:37:40,866 ERROR: Encountered non-finite generator loss at iter 23613; skipping update. +2025-11-04 13:37:40,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,867 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:40,868 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:40,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.29, mean=-0.1035, std=2.582, absmax=13.29 +2025-11-04 13:37:40,869 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=11.84, mean=-0.04341, std=2.431, absmax=12.21 +2025-11-04 13:37:41,226 ERROR: Encountered non-finite generator loss at iter 23614; skipping update. +2025-11-04 13:37:41,227 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,227 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,228 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:41,228 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.3, mean=-0.2426, std=3.266, absmax=12.3 +2025-11-04 13:37:41,229 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=10.06, mean=-0.2137, std=3.043, absmax=11.83 +2025-11-04 13:37:41,586 ERROR: Encountered non-finite generator loss at iter 23615; skipping update. +2025-11-04 13:37:41,586 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,587 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,587 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:41,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=12.37, mean=-0.133, std=3.052, absmax=12.9 +2025-11-04 13:37:41,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.18, mean=-0.1466, std=2.746, absmax=12.18 +2025-11-04 13:37:41,946 ERROR: Encountered non-finite generator loss at iter 23616; skipping update. +2025-11-04 13:37:41,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,947 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:41,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:41,948 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.41, mean=-0.1991, std=3.187, absmax=13.41 +2025-11-04 13:37:41,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.56, mean=-0.1646, std=2.892, absmax=11.82 +2025-11-04 13:37:42,306 ERROR: Encountered non-finite generator loss at iter 23617; skipping update. +2025-11-04 13:37:42,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:42,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:42,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:42,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:42,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.11, mean=-0.3386, std=3.464, absmax=14.24 +2025-11-04 13:37:42,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=11.14, mean=-0.3273, std=3.224, absmax=13.72 +2025-11-04 13:37:42,666 ERROR: Encountered non-finite generator loss at iter 23618; skipping update. +2025-11-04 13:37:42,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:42,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:42,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:42,667 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:42,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.01, mean=0.02246, std=3.115, absmax=13.01 +2025-11-04 13:37:42,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=13.1, mean=0.01093, std=3.027, absmax=13.1 +2025-11-04 13:37:43,026 ERROR: Encountered non-finite generator loss at iter 23619; skipping update. +2025-11-04 13:37:43,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,027 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:43,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=11.31, mean=-0.1801, std=2.732, absmax=11.31 +2025-11-04 13:37:43,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=10.86, mean=-0.1455, std=2.58, absmax=11.14 +2025-11-04 13:37:43,386 ERROR: Encountered non-finite generator loss at iter 23620; skipping update. +2025-11-04 13:37:43,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:43,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.54, max=10.65, mean=-0.2077, std=2.323, absmax=10.65 +2025-11-04 13:37:43,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.87, max=9.212, mean=-0.186, std=2.2, absmax=9.87 +2025-11-04 13:37:43,746 ERROR: Encountered non-finite generator loss at iter 23621; skipping update. +2025-11-04 13:37:43,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:43,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:43,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=14.34, mean=-0.2163, std=2.348, absmax=14.34 +2025-11-04 13:37:43,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=12.32, mean=-0.1979, std=2.186, absmax=12.32 +2025-11-04 13:37:44,107 ERROR: Encountered non-finite generator loss at iter 23622; skipping update. +2025-11-04 13:37:44,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:44,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=11.36, mean=-0.1193, std=2.678, absmax=11.36 +2025-11-04 13:37:44,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=9.69, mean=-0.1338, std=2.477, absmax=10.52 +2025-11-04 13:37:44,466 ERROR: Encountered non-finite generator loss at iter 23623; skipping update. +2025-11-04 13:37:44,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:44,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=11.61, mean=-0.4132, std=2.893, absmax=13.99 +2025-11-04 13:37:44,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=9.698, mean=-0.3572, std=2.733, absmax=11.96 +2025-11-04 13:37:44,826 ERROR: Encountered non-finite generator loss at iter 23624; skipping update. +2025-11-04 13:37:44,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,828 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:44,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:44,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=15.37, mean=-0.09989, std=3.331, absmax=15.37 +2025-11-04 13:37:44,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=14.45, mean=-0.09735, std=3.081, absmax=14.45 +2025-11-04 13:37:45,186 ERROR: Encountered non-finite generator loss at iter 23625; skipping update. +2025-11-04 13:37:45,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:45,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=15.97, mean=0.09919, std=3.163, absmax=15.97 +2025-11-04 13:37:45,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=14.04, mean=0.1225, std=2.911, absmax=14.04 +2025-11-04 13:37:45,547 ERROR: Encountered non-finite generator loss at iter 23626; skipping update. +2025-11-04 13:37:45,547 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,548 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,548 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:45,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=13.42, mean=-0.0974, std=3.631, absmax=14.46 +2025-11-04 13:37:45,549 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=11.83, mean=-0.06935, std=3.453, absmax=13.31 +2025-11-04 13:37:45,907 ERROR: Encountered non-finite generator loss at iter 23627; skipping update. +2025-11-04 13:37:45,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:45,908 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:45,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.1, mean=-0.2262, std=2.904, absmax=13.95 +2025-11-04 13:37:45,909 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=10.27, mean=-0.2466, std=2.707, absmax=12.18 +2025-11-04 13:37:46,266 ERROR: Encountered non-finite generator loss at iter 23628; skipping update. +2025-11-04 13:37:46,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:46,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=11.2, mean=-0.153, std=2.459, absmax=12.95 +2025-11-04 13:37:46,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=9.906, mean=-0.2084, std=2.367, absmax=12.49 +2025-11-04 13:37:46,626 ERROR: Encountered non-finite generator loss at iter 23629; skipping update. +2025-11-04 13:37:46,627 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,628 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:46,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.12, mean=-0.05949, std=3.104, absmax=14.12 +2025-11-04 13:37:46,629 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=13.2, mean=-0.03555, std=2.881, absmax=13.2 +2025-11-04 13:37:46,986 ERROR: Encountered non-finite generator loss at iter 23630; skipping update. +2025-11-04 13:37:46,987 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,988 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:46,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:46,989 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.18, mean=-0.2752, std=2.817, absmax=12.64 +2025-11-04 13:37:46,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10, mean=-0.308, std=2.706, absmax=12.05 +2025-11-04 13:37:47,347 ERROR: Encountered non-finite generator loss at iter 23631; skipping update. +2025-11-04 13:37:47,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:47,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:47,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:47,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:47,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=12.98, mean=0.1068, std=3.353, absmax=14.07 +2025-11-04 13:37:47,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=11.46, mean=0.055, std=3.052, absmax=11.74 +2025-11-04 13:37:47,707 ERROR: Encountered non-finite generator loss at iter 23632; skipping update. +2025-11-04 13:37:47,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:47,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:47,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:47,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:47,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=10.73, mean=-0.2346, std=3.11, absmax=13.86 +2025-11-04 13:37:47,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.21, max=10.23, mean=-0.2545, std=2.942, absmax=14.21 +2025-11-04 13:37:48,067 ERROR: Encountered non-finite generator loss at iter 23633; skipping update. +2025-11-04 13:37:48,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:48,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=15.14, mean=-0.05157, std=3.334, absmax=15.14 +2025-11-04 13:37:48,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=12.44, mean=-0.05672, std=3.07, absmax=12.56 +2025-11-04 13:37:48,427 ERROR: Encountered non-finite generator loss at iter 23634; skipping update. +2025-11-04 13:37:48,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:48,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.61, mean=-0.1795, std=2.768, absmax=12.61 +2025-11-04 13:37:48,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=10.97, mean=-0.1442, std=2.529, absmax=10.97 +2025-11-04 13:37:48,787 ERROR: Encountered non-finite generator loss at iter 23635; skipping update. +2025-11-04 13:37:48,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:48,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:48,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.62, mean=-0.1543, std=2.658, absmax=11.62 +2025-11-04 13:37:48,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=9.462, mean=-0.14, std=2.428, absmax=10.24 +2025-11-04 13:37:49,147 ERROR: Encountered non-finite generator loss at iter 23636; skipping update. +2025-11-04 13:37:49,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,149 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:49,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.86, mean=-0.2089, std=3.716, absmax=14 +2025-11-04 13:37:49,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=10.59, mean=-0.2128, std=3.423, absmax=12.24 +2025-11-04 13:37:49,507 ERROR: Encountered non-finite generator loss at iter 23637; skipping update. +2025-11-04 13:37:49,507 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:49,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.57, mean=0.09194, std=3.818, absmax=14.57 +2025-11-04 13:37:49,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=13.8, mean=0.09844, std=3.588, absmax=13.8 +2025-11-04 13:37:49,866 ERROR: Encountered non-finite generator loss at iter 23638; skipping update. +2025-11-04 13:37:49,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:49,868 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:49,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=10.82, mean=-0.03385, std=3.202, absmax=13.04 +2025-11-04 13:37:49,869 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=10.83, mean=-0.06509, std=3.068, absmax=11.92 +2025-11-04 13:37:50,227 ERROR: Encountered non-finite generator loss at iter 23639; skipping update. +2025-11-04 13:37:50,227 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,228 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,228 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:50,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.82, mean=-0.2379, std=2.998, absmax=12.82 +2025-11-04 13:37:50,229 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=10.31, mean=-0.2077, std=2.757, absmax=12.61 +2025-11-04 13:37:50,587 ERROR: Encountered non-finite generator loss at iter 23640; skipping update. +2025-11-04 13:37:50,588 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,589 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:50,590 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.7, mean=-0.1018, std=2.898, absmax=12.7 +2025-11-04 13:37:50,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=11.36, mean=-0.08364, std=2.575, absmax=11.36 +2025-11-04 13:37:50,947 ERROR: Encountered non-finite generator loss at iter 23641; skipping update. +2025-11-04 13:37:50,948 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:50,949 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:50,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=14.16, mean=-0.1887, std=3.2, absmax=14.16 +2025-11-04 13:37:50,950 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=12.68, mean=-0.1619, std=3.007, absmax=12.68 +2025-11-04 13:37:51,308 ERROR: Encountered non-finite generator loss at iter 23642; skipping update. +2025-11-04 13:37:51,309 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:51,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:51,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:51,312 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:51,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.31, mean=-0.01504, std=3.189, absmax=11.76 +2025-11-04 13:37:51,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=11.15, mean=0.01505, std=2.95, absmax=11.15 +2025-11-04 13:37:51,674 ERROR: Encountered non-finite generator loss at iter 23643; skipping update. +2025-11-04 13:37:51,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:51,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:51,676 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:51,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:51,677 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=17.15, mean=0.07858, std=3.243, absmax=17.15 +2025-11-04 13:37:51,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=14.99, mean=0.08505, std=3.045, absmax=14.99 +2025-11-04 13:37:52,038 ERROR: Encountered non-finite generator loss at iter 23644; skipping update. +2025-11-04 13:37:52,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:52,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=11.37, mean=-0.1596, std=2.658, absmax=11.37 +2025-11-04 13:37:52,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=10.11, mean=-0.1624, std=2.542, absmax=10.51 +2025-11-04 13:37:52,401 ERROR: Encountered non-finite generator loss at iter 23645; skipping update. +2025-11-04 13:37:52,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,403 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:52,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.35, mean=-0.09146, std=3.207, absmax=13.85 +2025-11-04 13:37:52,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=12.85, mean=-0.04732, std=3.057, absmax=12.88 +2025-11-04 13:37:52,764 ERROR: Encountered non-finite generator loss at iter 23646; skipping update. +2025-11-04 13:37:52,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:52,767 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:52,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=15.55, mean=0.08544, std=3.33, absmax=15.55 +2025-11-04 13:37:52,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=13.34, mean=0.1101, std=3.084, absmax=13.34 +2025-11-04 13:37:53,127 ERROR: Encountered non-finite generator loss at iter 23647; skipping update. +2025-11-04 13:37:53,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:53,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=13.08, mean=-0.1605, std=3.508, absmax=13.64 +2025-11-04 13:37:53,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.59, max=11.81, mean=-0.1573, std=3.263, absmax=13.59 +2025-11-04 13:37:53,495 ERROR: Encountered non-finite generator loss at iter 23648; skipping update. +2025-11-04 13:37:53,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,500 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:53,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=15.95, mean=-0.1989, std=2.799, absmax=15.95 +2025-11-04 13:37:53,503 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=14.39, mean=-0.161, std=2.644, absmax=14.39 +2025-11-04 13:37:53,863 ERROR: Encountered non-finite generator loss at iter 23649; skipping update. +2025-11-04 13:37:53,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:53,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:53,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=11.9, mean=-0.3181, std=2.628, absmax=11.9 +2025-11-04 13:37:53,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=9.57, mean=-0.3179, std=2.58, absmax=10.68 +2025-11-04 13:37:54,223 ERROR: Encountered non-finite generator loss at iter 23650; skipping update. +2025-11-04 13:37:54,224 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,225 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:54,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=10.95, mean=-0.3428, std=2.875, absmax=13.78 +2025-11-04 13:37:54,226 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.1, max=9.883, mean=-0.3116, std=2.723, absmax=14.1 +2025-11-04 13:37:54,582 ERROR: Encountered non-finite generator loss at iter 23651; skipping update. +2025-11-04 13:37:54,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,584 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:54,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=11.66, mean=-0.2102, std=2.631, absmax=12.59 +2025-11-04 13:37:54,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=9.578, mean=-0.2047, std=2.484, absmax=11.86 +2025-11-04 13:37:54,943 ERROR: Encountered non-finite generator loss at iter 23652; skipping update. +2025-11-04 13:37:54,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:54,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:54,946 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.26, max=11.74, mean=-0.1126, std=3.404, absmax=14.26 +2025-11-04 13:37:54,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=11.26, mean=-0.09279, std=3.115, absmax=11.64 +2025-11-04 13:37:55,304 ERROR: Encountered non-finite generator loss at iter 23653; skipping update. +2025-11-04 13:37:55,305 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:55,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:55,306 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:55,307 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:55,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=16.14, mean=-0.09761, std=3.223, absmax=16.14 +2025-11-04 13:37:55,308 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=14.69, mean=-0.1042, std=3.032, absmax=14.69 +2025-11-04 13:37:55,665 ERROR: Encountered non-finite generator loss at iter 23654; skipping update. +2025-11-04 13:37:55,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:55,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:55,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:55,667 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:55,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=16.71, mean=0.2334, std=4.241, absmax=16.71 +2025-11-04 13:37:55,668 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=13.89, mean=0.2524, std=3.978, absmax=13.89 +2025-11-04 13:37:56,025 ERROR: Encountered non-finite generator loss at iter 23655; skipping update. +2025-11-04 13:37:56,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:56,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=10.92, mean=-0.2762, std=2.572, absmax=11.74 +2025-11-04 13:37:56,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.41, mean=-0.2396, std=2.459, absmax=11.37 +2025-11-04 13:37:56,386 ERROR: Encountered non-finite generator loss at iter 23656; skipping update. +2025-11-04 13:37:56,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,389 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:56,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.51, max=18.41, mean=0.09766, std=3.032, absmax=18.41 +2025-11-04 13:37:56,390 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.98, max=13.27, mean=0.07376, std=2.809, absmax=13.98 +2025-11-04 13:37:56,747 ERROR: Encountered non-finite generator loss at iter 23657; skipping update. +2025-11-04 13:37:56,748 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:56,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:56,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=14.79, mean=0.03235, std=3.396, absmax=14.79 +2025-11-04 13:37:56,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.99, mean=0.0305, std=3.126, absmax=11.99 +2025-11-04 13:37:57,107 ERROR: Encountered non-finite generator loss at iter 23658; skipping update. +2025-11-04 13:37:57,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:57,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=12.19, mean=-0.2031, std=2.788, absmax=12.19 +2025-11-04 13:37:57,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.26, mean=-0.1939, std=2.727, absmax=10.99 +2025-11-04 13:37:57,467 ERROR: Encountered non-finite generator loss at iter 23659; skipping update. +2025-11-04 13:37:57,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:57,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=11.76, mean=-0.3597, std=3.126, absmax=14.93 +2025-11-04 13:37:57,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=9.89, mean=-0.3311, std=2.99, absmax=13.5 +2025-11-04 13:37:57,829 ERROR: Encountered non-finite generator loss at iter 23660; skipping update. +2025-11-04 13:37:57,830 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:57,831 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:57,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=13.56, mean=-0.2935, std=2.926, absmax=13.56 +2025-11-04 13:37:57,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=11.48, mean=-0.3129, std=2.787, absmax=11.48 +2025-11-04 13:37:58,189 ERROR: Encountered non-finite generator loss at iter 23661; skipping update. +2025-11-04 13:37:58,190 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,191 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,191 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:58,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.11, mean=-0.01371, std=3.323, absmax=14.11 +2025-11-04 13:37:58,192 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=12.99, mean=-0.04942, std=3.076, absmax=12.99 +2025-11-04 13:37:58,549 ERROR: Encountered non-finite generator loss at iter 23662; skipping update. +2025-11-04 13:37:58,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:58,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=10.67, mean=-0.3103, std=2.918, absmax=13.8 +2025-11-04 13:37:58,553 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=10.08, mean=-0.3206, std=2.811, absmax=12.84 +2025-11-04 13:37:58,910 ERROR: Encountered non-finite generator loss at iter 23663; skipping update. +2025-11-04 13:37:58,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:58,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:58,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.55, mean=-0.1703, std=2.703, absmax=12.33 +2025-11-04 13:37:58,913 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=10.32, mean=-0.1661, std=2.541, absmax=10.79 +2025-11-04 13:37:59,270 ERROR: Encountered non-finite generator loss at iter 23664; skipping update. +2025-11-04 13:37:59,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,272 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:59,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.22, max=10.09, mean=-0.1392, std=2.426, absmax=10.22 +2025-11-04 13:37:59,273 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.595, max=8.837, mean=-0.1526, std=2.222, absmax=9.595 +2025-11-04 13:37:59,631 ERROR: Encountered non-finite generator loss at iter 23665; skipping update. +2025-11-04 13:37:59,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:59,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.31, max=13.81, mean=-0.2711, std=2.602, absmax=13.81 +2025-11-04 13:37:59,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=9.926, mean=-0.1991, std=2.403, absmax=11.33 +2025-11-04 13:37:59,991 ERROR: Encountered non-finite generator loss at iter 23666; skipping update. +2025-11-04 13:37:59,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:37:59,993 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:37:59,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.3, mean=-0.008645, std=3.041, absmax=12.3 +2025-11-04 13:37:59,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=10.6, mean=0.0004912, std=2.741, absmax=11.4 +2025-11-04 13:38:00,352 ERROR: Encountered non-finite generator loss at iter 23667; skipping update. +2025-11-04 13:38:00,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:00,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:00,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:00,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:00,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.33, max=15.53, mean=0.1387, std=3.92, absmax=17.33 +2025-11-04 13:38:00,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=14.52, mean=0.1696, std=3.662, absmax=14.52 +2025-11-04 13:38:00,713 ERROR: Encountered non-finite generator loss at iter 23668; skipping update. +2025-11-04 13:38:00,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:00,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:00,715 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:00,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:00,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.99, mean=-0.02617, std=3.209, absmax=12.99 +2025-11-04 13:38:00,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.98, max=12.21, mean=0.0127, std=2.942, absmax=12.21 +2025-11-04 13:38:01,072 ERROR: Encountered non-finite generator loss at iter 23669; skipping update. +2025-11-04 13:38:01,073 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,074 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:01,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.93, max=12.26, mean=-0.1282, std=3.06, absmax=14.93 +2025-11-04 13:38:01,075 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=10.55, mean=-0.108, std=2.778, absmax=13.49 +2025-11-04 13:38:01,431 ERROR: Encountered non-finite generator loss at iter 23670; skipping update. +2025-11-04 13:38:01,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:01,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=15.75, mean=-0.2167, std=2.422, absmax=15.75 +2025-11-04 13:38:01,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=10.85, mean=-0.1955, std=2.271, absmax=10.85 +2025-11-04 13:38:01,790 ERROR: Encountered non-finite generator loss at iter 23671; skipping update. +2025-11-04 13:38:01,791 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,792 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:01,792 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:01,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.66, mean=-0.2653, std=2.636, absmax=12.13 +2025-11-04 13:38:01,794 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.2, mean=-0.2193, std=2.533, absmax=11.22 +2025-11-04 13:38:02,150 ERROR: Encountered non-finite generator loss at iter 23672; skipping update. +2025-11-04 13:38:02,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,152 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:02,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=14.49, mean=-0.2043, std=3.004, absmax=14.49 +2025-11-04 13:38:02,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=12.6, mean=-0.1889, std=2.688, absmax=12.6 +2025-11-04 13:38:02,509 ERROR: Encountered non-finite generator loss at iter 23673; skipping update. +2025-11-04 13:38:02,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,511 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:02,512 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=12.06, mean=-0.1544, std=3.073, absmax=13.4 +2025-11-04 13:38:02,512 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=10.21, mean=-0.15, std=2.811, absmax=12.49 +2025-11-04 13:38:02,870 ERROR: Encountered non-finite generator loss at iter 23674; skipping update. +2025-11-04 13:38:02,871 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:02,873 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:02,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=13.42, mean=0.05075, std=3.114, absmax=13.42 +2025-11-04 13:38:02,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.726, max=13.48, mean=0.07865, std=2.947, absmax=13.48 +2025-11-04 13:38:03,232 ERROR: Encountered non-finite generator loss at iter 23675; skipping update. +2025-11-04 13:38:03,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:03,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=17.41, mean=-0.04379, std=3.013, absmax=17.41 +2025-11-04 13:38:03,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=15.16, mean=-0.05507, std=2.701, absmax=15.16 +2025-11-04 13:38:03,591 ERROR: Encountered non-finite generator loss at iter 23676; skipping update. +2025-11-04 13:38:03,592 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,594 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:03,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.52, mean=-0.2129, std=2.461, absmax=11.6 +2025-11-04 13:38:03,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=10.6, mean=-0.1906, std=2.384, absmax=10.6 +2025-11-04 13:38:03,951 ERROR: Encountered non-finite generator loss at iter 23677; skipping update. +2025-11-04 13:38:03,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:03,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:03,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=14.84, mean=0.05057, std=4.039, absmax=15.04 +2025-11-04 13:38:03,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=13.69, mean=0.06777, std=3.762, absmax=13.69 +2025-11-04 13:38:04,311 ERROR: Encountered non-finite generator loss at iter 23678; skipping update. +2025-11-04 13:38:04,312 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:04,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:04,313 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:04,313 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:04,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.83, mean=-0.1642, std=3.491, absmax=13.14 +2025-11-04 13:38:04,314 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.14, max=11.82, mean=-0.1759, std=3.231, absmax=13.14 +2025-11-04 13:38:04,671 ERROR: Encountered non-finite generator loss at iter 23679; skipping update. +2025-11-04 13:38:04,672 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:04,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:04,673 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:04,673 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:04,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.29, mean=-0.1694, std=3.183, absmax=13.29 +2025-11-04 13:38:04,674 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=11.7, mean=-0.1502, std=2.932, absmax=11.7 +2025-11-04 13:38:05,031 ERROR: Encountered non-finite generator loss at iter 23680; skipping update. +2025-11-04 13:38:05,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:05,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.95, mean=-0.02212, std=2.947, absmax=13.12 +2025-11-04 13:38:05,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.55, mean=0.03046, std=2.793, absmax=12.44 +2025-11-04 13:38:05,391 ERROR: Encountered non-finite generator loss at iter 23681; skipping update. +2025-11-04 13:38:05,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:05,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=13.52, mean=0.01445, std=3.242, absmax=13.52 +2025-11-04 13:38:05,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=11.26, mean=0.06806, std=3.064, absmax=11.52 +2025-11-04 13:38:05,751 ERROR: Encountered non-finite generator loss at iter 23682; skipping update. +2025-11-04 13:38:05,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:05,753 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:05,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.35, mean=-0.07379, std=2.989, absmax=12.73 +2025-11-04 13:38:05,754 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=11.23, mean=-0.05406, std=2.76, absmax=12.48 +2025-11-04 13:38:06,110 ERROR: Encountered non-finite generator loss at iter 23683; skipping update. +2025-11-04 13:38:06,111 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,112 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,112 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:06,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=14.02, mean=-0.1778, std=3.044, absmax=14.02 +2025-11-04 13:38:06,113 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=12.98, mean=-0.1851, std=2.819, absmax=12.98 +2025-11-04 13:38:06,470 ERROR: Encountered non-finite generator loss at iter 23684; skipping update. +2025-11-04 13:38:06,470 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,471 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,472 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:06,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.12, mean=0.008868, std=3.303, absmax=14.27 +2025-11-04 13:38:06,473 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=12.07, mean=-0.003337, std=3.101, absmax=13.58 +2025-11-04 13:38:06,830 ERROR: Encountered non-finite generator loss at iter 23685; skipping update. +2025-11-04 13:38:06,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,832 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:06,832 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:06,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=13.11, mean=-0.1584, std=2.725, absmax=13.11 +2025-11-04 13:38:06,833 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=12.5, mean=-0.1328, std=2.516, absmax=12.5 +2025-11-04 13:38:07,190 ERROR: Encountered non-finite generator loss at iter 23686; skipping update. +2025-11-04 13:38:07,191 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,192 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,192 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:07,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.11, mean=-0.1578, std=2.492, absmax=12.03 +2025-11-04 13:38:07,193 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=9.664, mean=-0.1382, std=2.41, absmax=10.94 +2025-11-04 13:38:07,549 ERROR: Encountered non-finite generator loss at iter 23687; skipping update. +2025-11-04 13:38:07,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:07,552 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=10.8, mean=-0.07778, std=2.662, absmax=11.88 +2025-11-04 13:38:07,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=9.943, mean=-0.04589, std=2.5, absmax=10.04 +2025-11-04 13:38:07,908 ERROR: Encountered non-finite generator loss at iter 23688; skipping update. +2025-11-04 13:38:07,909 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:07,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:07,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11.6, mean=-0.262, std=2.746, absmax=11.67 +2025-11-04 13:38:07,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=10.58, mean=-0.2481, std=2.576, absmax=11.43 +2025-11-04 13:38:08,268 ERROR: Encountered non-finite generator loss at iter 23689; skipping update. +2025-11-04 13:38:08,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,270 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,270 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:08,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.63, max=14.06, mean=-0.01894, std=3.593, absmax=15.63 +2025-11-04 13:38:08,271 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.99, max=13.83, mean=-0.005138, std=3.452, absmax=13.99 +2025-11-04 13:38:08,628 ERROR: Encountered non-finite generator loss at iter 23690; skipping update. +2025-11-04 13:38:08,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:08,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=16.44, mean=-0.206, std=2.924, absmax=16.44 +2025-11-04 13:38:08,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=15.82, mean=-0.179, std=2.805, absmax=15.82 +2025-11-04 13:38:08,987 ERROR: Encountered non-finite generator loss at iter 23691; skipping update. +2025-11-04 13:38:08,988 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,989 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:08,989 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:08,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=15.43, mean=-0.137, std=3.043, absmax=15.43 +2025-11-04 13:38:08,990 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=13.9, mean=-0.1453, std=2.903, absmax=13.9 +2025-11-04 13:38:09,346 ERROR: Encountered non-finite generator loss at iter 23692; skipping update. +2025-11-04 13:38:09,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:09,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:09,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:09,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:09,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.48, mean=-0.1484, std=2.718, absmax=14.48 +2025-11-04 13:38:09,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.88, mean=-0.1569, std=2.469, absmax=11.13 +2025-11-04 13:38:09,707 ERROR: Encountered non-finite generator loss at iter 23693; skipping update. +2025-11-04 13:38:09,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:09,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:09,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:09,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:09,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.86, mean=-0.3042, std=3.579, absmax=14.86 +2025-11-04 13:38:09,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.67, max=14.25, mean=-0.2725, std=3.358, absmax=14.67 +2025-11-04 13:38:10,067 ERROR: Encountered non-finite generator loss at iter 23694; skipping update. +2025-11-04 13:38:10,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:10,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=12.57, mean=-0.2012, std=2.542, absmax=15 +2025-11-04 13:38:10,071 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=11.2, mean=-0.191, std=2.299, absmax=12.61 +2025-11-04 13:38:10,427 ERROR: Encountered non-finite generator loss at iter 23695; skipping update. +2025-11-04 13:38:10,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:10,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=11.77, mean=-0.1347, std=3.185, absmax=13.48 +2025-11-04 13:38:10,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=10.71, mean=-0.08127, std=2.972, absmax=11.48 +2025-11-04 13:38:10,798 ERROR: Encountered non-finite generator loss at iter 23696; skipping update. +2025-11-04 13:38:10,800 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:10,803 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:10,804 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=12.95, mean=-0.235, std=3.666, absmax=13.15 +2025-11-04 13:38:10,805 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=12.36, mean=-0.1976, std=3.524, absmax=12.72 +2025-11-04 13:38:11,162 ERROR: Encountered non-finite generator loss at iter 23697; skipping update. +2025-11-04 13:38:11,163 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:11,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=15.37, mean=-0.2656, std=3.526, absmax=15.37 +2025-11-04 13:38:11,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.73, max=12.97, mean=-0.2457, std=3.229, absmax=13.73 +2025-11-04 13:38:11,522 ERROR: Encountered non-finite generator loss at iter 23698; skipping update. +2025-11-04 13:38:11,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,524 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:11,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.18, mean=-0.2272, std=2.78, absmax=14.18 +2025-11-04 13:38:11,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=11.82, mean=-0.1999, std=2.603, absmax=11.88 +2025-11-04 13:38:11,883 ERROR: Encountered non-finite generator loss at iter 23699; skipping update. +2025-11-04 13:38:11,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:11,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:11,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.27, mean=-0.09002, std=2.944, absmax=14.27 +2025-11-04 13:38:11,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=11.63, mean=-0.08722, std=2.743, absmax=12.26 +2025-11-04 13:38:12,244 ERROR: Encountered non-finite generator loss at iter 23700; skipping update. +2025-11-04 13:38:12,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:12,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=9.937, mean=-0.2832, std=3.13, absmax=14.32 +2025-11-04 13:38:12,248 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=9.769, mean=-0.2363, std=2.919, absmax=13.19 +2025-11-04 13:38:12,248 INFO: [38..][epoch: 0, step: 23,700, lr:(2.000e-04,)] [eta: 1 day, 4:25:13, time (data): 0.360 (0.000)] +2025-11-04 13:38:12,606 ERROR: Encountered non-finite generator loss at iter 23701; skipping update. +2025-11-04 13:38:12,607 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,608 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,608 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:12,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.2, mean=-0.004184, std=3.004, absmax=11.52 +2025-11-04 13:38:12,609 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=10.14, mean=-0.0124, std=2.801, absmax=10.76 +2025-11-04 13:38:12,966 ERROR: Encountered non-finite generator loss at iter 23702; skipping update. +2025-11-04 13:38:12,967 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,968 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:12,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:12,968 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.65, mean=-0.2729, std=3.217, absmax=12.7 +2025-11-04 13:38:12,969 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=9.541, mean=-0.2654, std=3.078, absmax=12.8 +2025-11-04 13:38:13,326 ERROR: Encountered non-finite generator loss at iter 23703; skipping update. +2025-11-04 13:38:13,327 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:13,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:13,328 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:13,329 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:13,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=13.06, mean=-0.01331, std=3.085, absmax=13.09 +2025-11-04 13:38:13,330 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=12.02, mean=-0.0291, std=2.796, absmax=12.02 +2025-11-04 13:38:13,687 ERROR: Encountered non-finite generator loss at iter 23704; skipping update. +2025-11-04 13:38:13,688 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:13,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:13,689 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:13,689 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:13,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.18, mean=-0.306, std=3.552, absmax=13.51 +2025-11-04 13:38:13,690 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=11.77, mean=-0.2647, std=3.364, absmax=13.01 +2025-11-04 13:38:14,060 ERROR: Encountered non-finite generator loss at iter 23705; skipping update. +2025-11-04 13:38:14,062 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:14,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14.22, mean=0.02652, std=3.337, absmax=14.22 +2025-11-04 13:38:14,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=11.97, mean=0.0165, std=3.039, absmax=11.97 +2025-11-04 13:38:14,515 ERROR: Encountered non-finite generator loss at iter 23706; skipping update. +2025-11-04 13:38:14,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:14,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.11, max=12.37, mean=-0.121, std=2.372, absmax=12.37 +2025-11-04 13:38:14,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=10.9, mean=-0.1568, std=2.251, absmax=10.9 +2025-11-04 13:38:14,892 ERROR: Encountered non-finite generator loss at iter 23707; skipping update. +2025-11-04 13:38:14,899 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:14,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:14,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=11.25, mean=-0.1523, std=2.896, absmax=12.08 +2025-11-04 13:38:14,915 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=9.874, mean=-0.1308, std=2.672, absmax=10.16 +2025-11-04 13:38:15,435 ERROR: Encountered non-finite generator loss at iter 23708; skipping update. +2025-11-04 13:38:15,436 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:15,437 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:15,437 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:15,437 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:15,438 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.82, mean=-0.1351, std=3.423, absmax=13 +2025-11-04 13:38:15,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=12.04, mean=-0.1227, std=3.263, absmax=12.89 +2025-11-04 13:38:15,796 ERROR: Encountered non-finite generator loss at iter 23709; skipping update. +2025-11-04 13:38:15,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:15,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:15,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:15,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:15,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=13.75, mean=-0.1825, std=2.84, absmax=13.75 +2025-11-04 13:38:15,799 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=12.5, mean=-0.1824, std=2.615, absmax=12.5 +2025-11-04 13:38:16,156 ERROR: Encountered non-finite generator loss at iter 23710; skipping update. +2025-11-04 13:38:16,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:16,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.08, max=13.07, mean=-0.1194, std=3.409, absmax=16.08 +2025-11-04 13:38:16,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=11.38, mean=-0.04423, std=3.285, absmax=13.19 +2025-11-04 13:38:16,516 ERROR: Encountered non-finite generator loss at iter 23711; skipping update. +2025-11-04 13:38:16,517 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:16,519 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.47, mean=0.3256, std=3.791, absmax=14.47 +2025-11-04 13:38:16,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=13.2, mean=0.2892, std=3.443, absmax=13.2 +2025-11-04 13:38:16,876 ERROR: Encountered non-finite generator loss at iter 23712; skipping update. +2025-11-04 13:38:16,877 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,878 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:16,878 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:16,879 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.68, mean=-0.006096, std=3.115, absmax=12.67 +2025-11-04 13:38:16,879 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=11.19, mean=-0.0283, std=2.987, absmax=11.19 +2025-11-04 13:38:17,236 ERROR: Encountered non-finite generator loss at iter 23713; skipping update. +2025-11-04 13:38:17,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:17,239 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=11.74, mean=-0.1676, std=3.019, absmax=12.13 +2025-11-04 13:38:17,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=11.66, mean=-0.163, std=2.857, absmax=12.11 +2025-11-04 13:38:17,596 ERROR: Encountered non-finite generator loss at iter 23714; skipping update. +2025-11-04 13:38:17,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:17,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.78, max=12.38, mean=-0.0367, std=2.441, absmax=12.38 +2025-11-04 13:38:17,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.487, max=10.65, mean=-0.04141, std=2.303, absmax=10.65 +2025-11-04 13:38:17,956 ERROR: Encountered non-finite generator loss at iter 23715; skipping update. +2025-11-04 13:38:17,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:17,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:17,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.18, mean=-0.005561, std=3.6, absmax=14.18 +2025-11-04 13:38:17,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.74, mean=-0.033, std=3.256, absmax=12.74 +2025-11-04 13:38:18,316 ERROR: Encountered non-finite generator loss at iter 23716; skipping update. +2025-11-04 13:38:18,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:18,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:18,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:18,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:18,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=15.21, mean=0.09772, std=3.444, absmax=15.21 +2025-11-04 13:38:18,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=14.68, mean=0.08595, std=3.221, absmax=14.68 +2025-11-04 13:38:18,676 ERROR: Encountered non-finite generator loss at iter 23717; skipping update. +2025-11-04 13:38:18,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:18,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:18,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:18,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:18,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=15.16, mean=-0.07017, std=3.66, absmax=15.16 +2025-11-04 13:38:18,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=15.04, mean=-0.02897, std=3.472, absmax=15.04 +2025-11-04 13:38:19,036 ERROR: Encountered non-finite generator loss at iter 23718; skipping update. +2025-11-04 13:38:19,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:19,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=12.36, mean=-0.2508, std=3.315, absmax=14.25 +2025-11-04 13:38:19,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=12.33, mean=-0.2272, std=3.083, absmax=13.61 +2025-11-04 13:38:19,396 ERROR: Encountered non-finite generator loss at iter 23719; skipping update. +2025-11-04 13:38:19,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:19,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=15.86, mean=-0.1099, std=2.845, absmax=15.86 +2025-11-04 13:38:19,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=11.61, mean=-0.1078, std=2.629, absmax=11.61 +2025-11-04 13:38:19,757 ERROR: Encountered non-finite generator loss at iter 23720; skipping update. +2025-11-04 13:38:19,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:19,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:19,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.54, max=13.72, mean=-0.2085, std=3.554, absmax=17.54 +2025-11-04 13:38:19,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.88, max=11.96, mean=-0.21, std=3.209, absmax=15.88 +2025-11-04 13:38:20,118 ERROR: Encountered non-finite generator loss at iter 23721; skipping update. +2025-11-04 13:38:20,119 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,120 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,121 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:20,121 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.92, mean=0.01946, std=3.36, absmax=13.92 +2025-11-04 13:38:20,122 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=12.61, mean=0.03877, std=3.097, absmax=12.61 +2025-11-04 13:38:20,479 ERROR: Encountered non-finite generator loss at iter 23722; skipping update. +2025-11-04 13:38:20,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,481 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:20,482 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=11.63, mean=-0.2502, std=3.748, absmax=14.34 +2025-11-04 13:38:20,482 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.8, max=11.15, mean=-0.2149, std=3.613, absmax=13.8 +2025-11-04 13:38:20,840 ERROR: Encountered non-finite generator loss at iter 23723; skipping update. +2025-11-04 13:38:20,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:20,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:20,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=11.7, mean=-0.1675, std=2.923, absmax=12.05 +2025-11-04 13:38:20,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=10.31, mean=-0.1724, std=2.692, absmax=10.78 +2025-11-04 13:38:21,202 ERROR: Encountered non-finite generator loss at iter 23724; skipping update. +2025-11-04 13:38:21,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,205 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:21,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=10.26, mean=-0.1667, std=2.733, absmax=13.26 +2025-11-04 13:38:21,206 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=9.082, mean=-0.1664, std=2.509, absmax=11.81 +2025-11-04 13:38:21,563 ERROR: Encountered non-finite generator loss at iter 23725; skipping update. +2025-11-04 13:38:21,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,564 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,565 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:21,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.61, mean=0.1604, std=3.288, absmax=14.61 +2025-11-04 13:38:21,566 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=13.03, mean=0.1417, std=3.07, absmax=13.03 +2025-11-04 13:38:21,923 ERROR: Encountered non-finite generator loss at iter 23726; skipping update. +2025-11-04 13:38:21,924 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,925 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:21,925 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:21,926 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.11, max=10.7, mean=-0.1897, std=2.561, absmax=10.7 +2025-11-04 13:38:21,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=10.72, mean=-0.1542, std=2.513, absmax=10.72 +2025-11-04 13:38:22,283 ERROR: Encountered non-finite generator loss at iter 23727; skipping update. +2025-11-04 13:38:22,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:22,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:22,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:22,286 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:22,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.06, mean=-0.09703, std=2.944, absmax=13.06 +2025-11-04 13:38:22,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=10.9, mean=-0.1077, std=2.864, absmax=12.32 +2025-11-04 13:38:22,645 ERROR: Encountered non-finite generator loss at iter 23728; skipping update. +2025-11-04 13:38:22,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:22,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:22,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:22,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:22,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=16.88, mean=-0.05887, std=2.93, absmax=16.88 +2025-11-04 13:38:22,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=15.24, mean=-0.01659, std=2.768, absmax=15.24 +2025-11-04 13:38:23,005 ERROR: Encountered non-finite generator loss at iter 23729; skipping update. +2025-11-04 13:38:23,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,008 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:23,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.24, mean=-0.09008, std=3.188, absmax=12.58 +2025-11-04 13:38:23,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=10.66, mean=-0.06772, std=2.924, absmax=11.54 +2025-11-04 13:38:23,366 ERROR: Encountered non-finite generator loss at iter 23730; skipping update. +2025-11-04 13:38:23,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:23,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.38, mean=0.002667, std=3.659, absmax=13.38 +2025-11-04 13:38:23,369 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=11.79, mean=0.01126, std=3.294, absmax=11.79 +2025-11-04 13:38:23,726 ERROR: Encountered non-finite generator loss at iter 23731; skipping update. +2025-11-04 13:38:23,727 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,728 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:23,728 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:23,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.44, mean=-0.3117, std=2.973, absmax=12.82 +2025-11-04 13:38:23,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=9.816, mean=-0.2932, std=2.743, absmax=12.34 +2025-11-04 13:38:24,087 ERROR: Encountered non-finite generator loss at iter 23732; skipping update. +2025-11-04 13:38:24,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:24,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=14.46, mean=-0.09977, std=3.447, absmax=14.46 +2025-11-04 13:38:24,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=12.84, mean=-0.1048, std=3.156, absmax=12.84 +2025-11-04 13:38:24,447 ERROR: Encountered non-finite generator loss at iter 23733; skipping update. +2025-11-04 13:38:24,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:24,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.2, mean=0.06444, std=3.429, absmax=14.2 +2025-11-04 13:38:24,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=12.82, mean=0.03848, std=3.18, absmax=12.82 +2025-11-04 13:38:24,807 ERROR: Encountered non-finite generator loss at iter 23734; skipping update. +2025-11-04 13:38:24,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:24,809 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:24,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.33, mean=-0.0001077, std=3.027, absmax=12.8 +2025-11-04 13:38:24,810 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=11.75, mean=0.002838, std=2.787, absmax=12.65 +2025-11-04 13:38:25,167 ERROR: Encountered non-finite generator loss at iter 23735; skipping update. +2025-11-04 13:38:25,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:25,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=12.34, mean=-0.319, std=3.337, absmax=14.97 +2025-11-04 13:38:25,170 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.44, max=10.56, mean=-0.3463, std=3.145, absmax=13.44 +2025-11-04 13:38:25,528 ERROR: Encountered non-finite generator loss at iter 23736; skipping update. +2025-11-04 13:38:25,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,530 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:25,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=12.24, mean=-0.1695, std=3.037, absmax=13.2 +2025-11-04 13:38:25,532 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=10.44, mean=-0.1313, std=2.776, absmax=11.99 +2025-11-04 13:38:25,888 ERROR: Encountered non-finite generator loss at iter 23737; skipping update. +2025-11-04 13:38:25,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:25,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:25,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=14.11, mean=-0.2413, std=2.676, absmax=14.11 +2025-11-04 13:38:25,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.24, mean=-0.2494, std=2.519, absmax=12.97 +2025-11-04 13:38:26,248 ERROR: Encountered non-finite generator loss at iter 23738; skipping update. +2025-11-04 13:38:26,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:26,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=14.06, mean=-0.1094, std=2.618, absmax=14.06 +2025-11-04 13:38:26,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=12.39, mean=-0.07966, std=2.439, absmax=12.44 +2025-11-04 13:38:26,608 ERROR: Encountered non-finite generator loss at iter 23739; skipping update. +2025-11-04 13:38:26,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:26,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.36, mean=-0.1836, std=3.212, absmax=13.36 +2025-11-04 13:38:26,612 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=12.66, mean=-0.1491, std=3.021, absmax=12.66 +2025-11-04 13:38:26,968 ERROR: Encountered non-finite generator loss at iter 23740; skipping update. +2025-11-04 13:38:26,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:26,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:26,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=10.14, mean=-0.2036, std=2.958, absmax=12.72 +2025-11-04 13:38:26,972 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=9.118, mean=-0.1864, std=2.715, absmax=11.85 +2025-11-04 13:38:27,328 ERROR: Encountered non-finite generator loss at iter 23741; skipping update. +2025-11-04 13:38:27,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:27,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:27,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:27,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:27,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=13.08, mean=-0.28, std=3.111, absmax=14.52 +2025-11-04 13:38:27,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.86, mean=-0.2754, std=2.992, absmax=12.86 +2025-11-04 13:38:27,689 ERROR: Encountered non-finite generator loss at iter 23742; skipping update. +2025-11-04 13:38:27,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:27,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:27,691 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:27,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:27,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=14.62, mean=-0.2014, std=3.042, absmax=14.62 +2025-11-04 13:38:27,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=13.51, mean=-0.1545, std=2.709, absmax=13.51 +2025-11-04 13:38:28,050 ERROR: Encountered non-finite generator loss at iter 23743; skipping update. +2025-11-04 13:38:28,052 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,053 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,053 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:28,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=16.49, mean=0.2112, std=3.811, absmax=16.49 +2025-11-04 13:38:28,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=15.86, mean=0.2561, std=3.613, absmax=15.86 +2025-11-04 13:38:28,414 ERROR: Encountered non-finite generator loss at iter 23744; skipping update. +2025-11-04 13:38:28,415 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,417 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:28,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=14.67, mean=-0.1814, std=2.884, absmax=14.67 +2025-11-04 13:38:28,418 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=10.85, mean=-0.1509, std=2.594, absmax=10.98 +2025-11-04 13:38:28,777 ERROR: Encountered non-finite generator loss at iter 23745; skipping update. +2025-11-04 13:38:28,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,778 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:28,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:28,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.62, mean=-0.1723, std=2.934, absmax=13.3 +2025-11-04 13:38:28,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=11.08, mean=-0.1622, std=2.766, absmax=11.93 +2025-11-04 13:38:29,140 ERROR: Encountered non-finite generator loss at iter 23746; skipping update. +2025-11-04 13:38:29,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:29,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=9.557, mean=-0.1974, std=2.43, absmax=11.88 +2025-11-04 13:38:29,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=9.356, mean=-0.1764, std=2.391, absmax=10.4 +2025-11-04 13:38:29,504 ERROR: Encountered non-finite generator loss at iter 23747; skipping update. +2025-11-04 13:38:29,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,507 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:29,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=14.76, mean=0.005022, std=2.829, absmax=14.76 +2025-11-04 13:38:29,508 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=12.59, mean=-0.0002293, std=2.601, absmax=12.59 +2025-11-04 13:38:29,868 ERROR: Encountered non-finite generator loss at iter 23748; skipping update. +2025-11-04 13:38:29,869 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:29,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:29,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=11.44, mean=-0.1419, std=2.942, absmax=11.91 +2025-11-04 13:38:29,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=10.9, mean=-0.09765, std=2.731, absmax=11.02 +2025-11-04 13:38:30,231 ERROR: Encountered non-finite generator loss at iter 23749; skipping update. +2025-11-04 13:38:30,232 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,233 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,233 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:30,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=11.78, mean=-0.2516, std=2.952, absmax=12.24 +2025-11-04 13:38:30,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.24, mean=-0.2253, std=2.807, absmax=12.56 +2025-11-04 13:38:30,593 ERROR: Encountered non-finite generator loss at iter 23750; skipping update. +2025-11-04 13:38:30,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:30,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=16.54, mean=-0.1253, std=3.285, absmax=16.54 +2025-11-04 13:38:30,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=14.63, mean=-0.1253, std=3.09, absmax=14.63 +2025-11-04 13:38:30,953 ERROR: Encountered non-finite generator loss at iter 23751; skipping update. +2025-11-04 13:38:30,954 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,955 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:30,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:30,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.2, mean=-0.01578, std=3.511, absmax=15.2 +2025-11-04 13:38:30,957 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=14.58, mean=-0.02882, std=3.332, absmax=14.58 +2025-11-04 13:38:31,315 ERROR: Encountered non-finite generator loss at iter 23752; skipping update. +2025-11-04 13:38:31,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:31,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:31,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:31,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:31,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=12.82, mean=-0.1438, std=2.563, absmax=13.04 +2025-11-04 13:38:31,318 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=11.27, mean=-0.1642, std=2.378, absmax=11.27 +2025-11-04 13:38:31,676 ERROR: Encountered non-finite generator loss at iter 23753; skipping update. +2025-11-04 13:38:31,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:31,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:31,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:31,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:31,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=11.3, mean=-0.08074, std=3.09, absmax=12.34 +2025-11-04 13:38:31,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=10.58, mean=-0.06797, std=2.899, absmax=10.58 +2025-11-04 13:38:32,037 ERROR: Encountered non-finite generator loss at iter 23754; skipping update. +2025-11-04 13:38:32,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:32,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=15.16, mean=0.15, std=3.7, absmax=15.16 +2025-11-04 13:38:32,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=15.04, mean=0.1517, std=3.506, absmax=15.04 +2025-11-04 13:38:32,398 ERROR: Encountered non-finite generator loss at iter 23755; skipping update. +2025-11-04 13:38:32,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:32,401 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=16.1, mean=-0.09938, std=2.552, absmax=16.1 +2025-11-04 13:38:32,402 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=13.88, mean=-0.1074, std=2.356, absmax=13.88 +2025-11-04 13:38:32,760 ERROR: Encountered non-finite generator loss at iter 23756; skipping update. +2025-11-04 13:38:32,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:32,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:32,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.61, mean=0.01425, std=2.902, absmax=12.92 +2025-11-04 13:38:32,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=10.83, mean=0.000891, std=2.693, absmax=11.98 +2025-11-04 13:38:33,122 ERROR: Encountered non-finite generator loss at iter 23757; skipping update. +2025-11-04 13:38:33,123 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,124 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:33,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.61, mean=-0.12, std=2.651, absmax=12.61 +2025-11-04 13:38:33,125 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=10.45, mean=-0.08368, std=2.39, absmax=10.94 +2025-11-04 13:38:33,487 ERROR: Encountered non-finite generator loss at iter 23758; skipping update. +2025-11-04 13:38:33,488 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,489 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,489 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:33,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.49, mean=-0.1631, std=2.879, absmax=12.49 +2025-11-04 13:38:33,490 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=10.19, mean=-0.1677, std=2.656, absmax=11.1 +2025-11-04 13:38:33,851 ERROR: Encountered non-finite generator loss at iter 23759; skipping update. +2025-11-04 13:38:33,852 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:33,853 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:33,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.25, mean=0.04504, std=3.403, absmax=14.25 +2025-11-04 13:38:33,854 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=13.67, mean=0.00575, std=3.156, absmax=13.67 +2025-11-04 13:38:34,212 ERROR: Encountered non-finite generator loss at iter 23760; skipping update. +2025-11-04 13:38:34,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,214 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:34,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=12.88, mean=-0.2355, std=2.979, absmax=12.88 +2025-11-04 13:38:34,215 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.35, mean=-0.2175, std=2.737, absmax=12.35 +2025-11-04 13:38:34,572 ERROR: Encountered non-finite generator loss at iter 23761; skipping update. +2025-11-04 13:38:34,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,575 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,576 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:34,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.18, mean=0.0839, std=3.341, absmax=14.18 +2025-11-04 13:38:34,577 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=12.89, mean=0.08017, std=3.215, absmax=12.89 +2025-11-04 13:38:34,936 ERROR: Encountered non-finite generator loss at iter 23762; skipping update. +2025-11-04 13:38:34,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:34,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:34,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=15.72, mean=-0.3072, std=2.875, absmax=15.72 +2025-11-04 13:38:34,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=13.02, mean=-0.2932, std=2.652, absmax=13.02 +2025-11-04 13:38:35,301 ERROR: Encountered non-finite generator loss at iter 23763; skipping update. +2025-11-04 13:38:35,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:35,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:35,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:35,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:35,305 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.1, mean=-0.01351, std=3.423, absmax=13.46 +2025-11-04 13:38:35,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=12.05, mean=-0.05831, std=3.214, absmax=12.1 +2025-11-04 13:38:35,666 ERROR: Encountered non-finite generator loss at iter 23764; skipping update. +2025-11-04 13:38:35,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:35,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:35,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:35,670 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:35,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=15.18, mean=0.02996, std=3.407, absmax=15.18 +2025-11-04 13:38:35,671 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=14.27, mean=0.08067, std=3.148, absmax=14.27 +2025-11-04 13:38:36,032 ERROR: Encountered non-finite generator loss at iter 23765; skipping update. +2025-11-04 13:38:36,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:36,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=11.99, mean=-0.1345, std=2.954, absmax=12.38 +2025-11-04 13:38:36,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.99, mean=-0.1216, std=2.7, absmax=11.57 +2025-11-04 13:38:36,396 ERROR: Encountered non-finite generator loss at iter 23766; skipping update. +2025-11-04 13:38:36,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,399 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:36,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.14, mean=-0.1137, std=2.738, absmax=13.14 +2025-11-04 13:38:36,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=11.39, mean=-0.09414, std=2.456, absmax=11.39 +2025-11-04 13:38:36,760 ERROR: Encountered non-finite generator loss at iter 23767; skipping update. +2025-11-04 13:38:36,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:36,763 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:36,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=14.96, mean=-0.1994, std=2.938, absmax=14.96 +2025-11-04 13:38:36,764 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=14.64, mean=-0.1813, std=2.792, absmax=14.64 +2025-11-04 13:38:37,127 ERROR: Encountered non-finite generator loss at iter 23768; skipping update. +2025-11-04 13:38:37,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,128 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:37,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=11.91, mean=-0.1444, std=2.598, absmax=12.21 +2025-11-04 13:38:37,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.17, mean=-0.1755, std=2.49, absmax=11.41 +2025-11-04 13:38:37,493 ERROR: Encountered non-finite generator loss at iter 23769; skipping update. +2025-11-04 13:38:37,494 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,495 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,495 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:37,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.56, mean=-0.041, std=3.221, absmax=14.56 +2025-11-04 13:38:37,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=14.07, mean=-0.01222, std=3.06, absmax=14.07 +2025-11-04 13:38:37,856 ERROR: Encountered non-finite generator loss at iter 23770; skipping update. +2025-11-04 13:38:37,857 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,857 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,858 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:37,858 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:37,859 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.96, mean=0.06357, std=3.092, absmax=13.96 +2025-11-04 13:38:37,860 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.14, mean=0.04699, std=2.898, absmax=12.14 +2025-11-04 13:38:38,219 ERROR: Encountered non-finite generator loss at iter 23771; skipping update. +2025-11-04 13:38:38,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,222 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:38,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.49, mean=-0.08204, std=3.186, absmax=13.74 +2025-11-04 13:38:38,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.67, mean=0.01626, std=3.118, absmax=12.07 +2025-11-04 13:38:38,581 ERROR: Encountered non-finite generator loss at iter 23772; skipping update. +2025-11-04 13:38:38,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:38,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=15.89, mean=0.211, std=3.446, absmax=15.89 +2025-11-04 13:38:38,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=16.12, mean=0.1907, std=3.136, absmax=16.12 +2025-11-04 13:38:38,941 ERROR: Encountered non-finite generator loss at iter 23773; skipping update. +2025-11-04 13:38:38,942 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:38,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:38,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.23, mean=-0.4318, std=3.256, absmax=13.2 +2025-11-04 13:38:38,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=9.121, mean=-0.3658, std=2.994, absmax=13.01 +2025-11-04 13:38:39,303 ERROR: Encountered non-finite generator loss at iter 23774; skipping update. +2025-11-04 13:38:39,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:39,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:39,305 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:39,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:39,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=15.21, mean=-0.04808, std=3.693, absmax=15.21 +2025-11-04 13:38:39,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.62, max=13.92, mean=-0.0409, std=3.569, absmax=13.92 +2025-11-04 13:38:39,664 ERROR: Encountered non-finite generator loss at iter 23775; skipping update. +2025-11-04 13:38:39,665 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:39,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:39,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:39,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:39,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=15.81, mean=-0.1939, std=3.327, absmax=15.81 +2025-11-04 13:38:39,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=12.41, mean=-0.1597, std=3.054, absmax=12.41 +2025-11-04 13:38:40,025 ERROR: Encountered non-finite generator loss at iter 23776; skipping update. +2025-11-04 13:38:40,026 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,027 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:40,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=12.65, mean=-0.04017, std=3.446, absmax=14.77 +2025-11-04 13:38:40,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.52, max=11.25, mean=-0.02997, std=3.231, absmax=14.52 +2025-11-04 13:38:40,386 ERROR: Encountered non-finite generator loss at iter 23777; skipping update. +2025-11-04 13:38:40,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:40,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=12.11, mean=-0.228, std=3.207, absmax=14.39 +2025-11-04 13:38:40,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=10.57, mean=-0.2657, std=2.958, absmax=13.28 +2025-11-04 13:38:40,747 ERROR: Encountered non-finite generator loss at iter 23778; skipping update. +2025-11-04 13:38:40,748 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:40,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:40,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.13, mean=-0.2047, std=2.807, absmax=12.98 +2025-11-04 13:38:40,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=10.29, mean=-0.1641, std=2.734, absmax=11.74 +2025-11-04 13:38:41,108 ERROR: Encountered non-finite generator loss at iter 23779; skipping update. +2025-11-04 13:38:41,110 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,110 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:41,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=10.15, mean=-0.3428, std=2.939, absmax=13.38 +2025-11-04 13:38:41,112 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=9.706, mean=-0.3132, std=2.725, absmax=10.74 +2025-11-04 13:38:41,469 ERROR: Encountered non-finite generator loss at iter 23780; skipping update. +2025-11-04 13:38:41,470 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,471 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,472 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:41,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.95, mean=-0.1259, std=3.423, absmax=13.95 +2025-11-04 13:38:41,473 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.33, mean=-0.1217, std=3.121, absmax=11.59 +2025-11-04 13:38:41,830 ERROR: Encountered non-finite generator loss at iter 23781; skipping update. +2025-11-04 13:38:41,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,832 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:41,833 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:41,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.66, mean=-0.1693, std=2.906, absmax=12.66 +2025-11-04 13:38:41,834 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=12.23, mean=-0.1303, std=2.615, absmax=12.23 +2025-11-04 13:38:42,191 ERROR: Encountered non-finite generator loss at iter 23782; skipping update. +2025-11-04 13:38:42,192 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,193 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,193 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:42,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.44, mean=-0.07632, std=3.283, absmax=13.44 +2025-11-04 13:38:42,194 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.16, mean=-0.1096, std=3.037, absmax=12.16 +2025-11-04 13:38:42,551 ERROR: Encountered non-finite generator loss at iter 23783; skipping update. +2025-11-04 13:38:42,552 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,553 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,554 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:42,554 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.06, mean=-0.1539, std=3.001, absmax=12.17 +2025-11-04 13:38:42,555 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=10.82, mean=-0.1457, std=2.845, absmax=10.91 +2025-11-04 13:38:42,913 ERROR: Encountered non-finite generator loss at iter 23784; skipping update. +2025-11-04 13:38:42,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:42,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:42,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.47, mean=-0.3536, std=2.766, absmax=12.94 +2025-11-04 13:38:42,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=10.57, mean=-0.3534, std=2.646, absmax=11.93 +2025-11-04 13:38:43,273 ERROR: Encountered non-finite generator loss at iter 23785; skipping update. +2025-11-04 13:38:43,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:43,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=14.4, mean=-0.213, std=3.411, absmax=14.4 +2025-11-04 13:38:43,276 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=12.1, mean=-0.2366, std=3.194, absmax=12.73 +2025-11-04 13:38:43,634 ERROR: Encountered non-finite generator loss at iter 23786; skipping update. +2025-11-04 13:38:43,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:43,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.59, mean=-0.1979, std=2.74, absmax=15.59 +2025-11-04 13:38:43,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=11.33, mean=-0.1623, std=2.573, absmax=11.41 +2025-11-04 13:38:43,996 ERROR: Encountered non-finite generator loss at iter 23787; skipping update. +2025-11-04 13:38:43,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:43,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:43,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.49, mean=-0.1704, std=3.214, absmax=13.49 +2025-11-04 13:38:44,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=13.04, mean=-0.1712, std=3.027, absmax=13.04 +2025-11-04 13:38:44,358 ERROR: Encountered non-finite generator loss at iter 23788; skipping update. +2025-11-04 13:38:44,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:44,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:44,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:44,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:44,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=14.12, mean=-0.1786, std=2.961, absmax=14.12 +2025-11-04 13:38:44,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.4, mean=-0.2437, std=2.772, absmax=12.4 +2025-11-04 13:38:44,720 ERROR: Encountered non-finite generator loss at iter 23789; skipping update. +2025-11-04 13:38:44,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:44,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:44,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:44,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:44,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.26, max=11.88, mean=-0.2646, std=2.977, absmax=12.26 +2025-11-04 13:38:44,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=10.54, mean=-0.2229, std=2.779, absmax=10.54 +2025-11-04 13:38:45,082 ERROR: Encountered non-finite generator loss at iter 23790; skipping update. +2025-11-04 13:38:45,083 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,084 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:45,085 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.27, mean=-0.1294, std=2.986, absmax=13.19 +2025-11-04 13:38:45,085 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=10.12, mean=-0.09569, std=2.706, absmax=11.02 +2025-11-04 13:38:45,443 ERROR: Encountered non-finite generator loss at iter 23791; skipping update. +2025-11-04 13:38:45,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:45,446 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=14.79, mean=0.07465, std=3.446, absmax=14.79 +2025-11-04 13:38:45,447 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=13.66, mean=0.09359, std=3.325, absmax=13.66 +2025-11-04 13:38:45,806 ERROR: Encountered non-finite generator loss at iter 23792; skipping update. +2025-11-04 13:38:45,807 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,808 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:45,808 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:45,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=13.35, mean=-0.0175, std=2.918, absmax=13.35 +2025-11-04 13:38:45,809 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=11.44, mean=-0.02063, std=2.74, absmax=12.94 +2025-11-04 13:38:46,167 ERROR: Encountered non-finite generator loss at iter 23793; skipping update. +2025-11-04 13:38:46,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:46,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.26, mean=-0.02954, std=3.161, absmax=14.19 +2025-11-04 13:38:46,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=11.52, mean=-0.004312, std=2.795, absmax=12.55 +2025-11-04 13:38:46,528 ERROR: Encountered non-finite generator loss at iter 23794; skipping update. +2025-11-04 13:38:46,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,530 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:46,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=15.76, mean=-0.01305, std=2.963, absmax=15.76 +2025-11-04 13:38:46,532 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.58, mean=-0.04279, std=2.857, absmax=12.58 +2025-11-04 13:38:46,890 ERROR: Encountered non-finite generator loss at iter 23795; skipping update. +2025-11-04 13:38:46,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:46,892 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:46,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=14.3, mean=0.02227, std=3.012, absmax=14.3 +2025-11-04 13:38:46,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=12.03, mean=0.0301, std=2.817, absmax=12.03 +2025-11-04 13:38:47,254 ERROR: Encountered non-finite generator loss at iter 23796; skipping update. +2025-11-04 13:38:47,256 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,257 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,257 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:47,258 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=12.25, mean=0.08463, std=3.612, absmax=13.36 +2025-11-04 13:38:47,259 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.74, mean=0.0997, std=3.341, absmax=11.74 +2025-11-04 13:38:47,617 ERROR: Encountered non-finite generator loss at iter 23797; skipping update. +2025-11-04 13:38:47,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:47,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=15.48, mean=-0.03372, std=3.446, absmax=15.48 +2025-11-04 13:38:47,622 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=14.91, mean=-0.01549, std=3.282, absmax=14.91 +2025-11-04 13:38:47,981 ERROR: Encountered non-finite generator loss at iter 23798; skipping update. +2025-11-04 13:38:47,982 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,983 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:47,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:47,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=15.04, mean=-0.03459, std=3.554, absmax=15.04 +2025-11-04 13:38:47,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=13.14, mean=-0.02854, std=3.256, absmax=13.14 +2025-11-04 13:38:48,344 ERROR: Encountered non-finite generator loss at iter 23799; skipping update. +2025-11-04 13:38:48,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:48,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:48,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:48,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:48,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.6, mean=-0.1104, std=3.048, absmax=13.6 +2025-11-04 13:38:48,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=12.6, mean=-0.1135, std=2.821, absmax=12.6 +2025-11-04 13:38:48,707 ERROR: Encountered non-finite generator loss at iter 23800; skipping update. +2025-11-04 13:38:48,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:48,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:48,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:48,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:48,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=14.03, mean=-0.2765, std=3.004, absmax=14.03 +2025-11-04 13:38:48,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.01, mean=-0.2707, std=2.744, absmax=11.01 +2025-11-04 13:38:48,711 INFO: [38..][epoch: 0, step: 23,800, lr:(2.000e-04,)] [eta: 1 day, 4:18:58, time (data): 0.362 (0.000)] +2025-11-04 13:38:49,068 ERROR: Encountered non-finite generator loss at iter 23801; skipping update. +2025-11-04 13:38:49,069 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,070 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:49,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=11.78, mean=-0.3014, std=2.913, absmax=13.21 +2025-11-04 13:38:49,072 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.03, mean=-0.3207, std=2.781, absmax=11.28 +2025-11-04 13:38:49,428 ERROR: Encountered non-finite generator loss at iter 23802; skipping update. +2025-11-04 13:38:49,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,431 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:49,431 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=16.82, mean=0.08459, std=3.629, absmax=16.82 +2025-11-04 13:38:49,432 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=14.74, mean=0.0578, std=3.35, absmax=14.74 +2025-11-04 13:38:49,788 ERROR: Encountered non-finite generator loss at iter 23803; skipping update. +2025-11-04 13:38:49,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:49,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:49,791 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=15.22, mean=0.04219, std=3.581, absmax=15.22 +2025-11-04 13:38:49,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=14.58, mean=0.07441, std=3.33, absmax=14.58 +2025-11-04 13:38:50,148 ERROR: Encountered non-finite generator loss at iter 23804; skipping update. +2025-11-04 13:38:50,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:50,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.46, mean=-0.2628, std=2.671, absmax=11.54 +2025-11-04 13:38:50,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=11.19, mean=-0.2404, std=2.576, absmax=13.06 +2025-11-04 13:38:50,507 ERROR: Encountered non-finite generator loss at iter 23805; skipping update. +2025-11-04 13:38:50,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,510 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:50,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.57, mean=0.06194, std=2.996, absmax=14.57 +2025-11-04 13:38:50,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=12.27, mean=0.02454, std=2.706, absmax=12.27 +2025-11-04 13:38:50,867 ERROR: Encountered non-finite generator loss at iter 23806; skipping update. +2025-11-04 13:38:50,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:50,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:50,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=15.16, mean=-0.247, std=2.483, absmax=15.16 +2025-11-04 13:38:50,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=12.43, mean=-0.2555, std=2.34, absmax=12.43 +2025-11-04 13:38:51,227 ERROR: Encountered non-finite generator loss at iter 23807; skipping update. +2025-11-04 13:38:51,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:51,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.27, mean=-0.3039, std=2.767, absmax=13.27 +2025-11-04 13:38:51,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=12.28, mean=-0.3099, std=2.695, absmax=13.03 +2025-11-04 13:38:51,586 ERROR: Encountered non-finite generator loss at iter 23808; skipping update. +2025-11-04 13:38:51,587 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,588 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:51,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.91, mean=-0.2434, std=3.636, absmax=14.91 +2025-11-04 13:38:51,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.89, max=12.74, mean=-0.2287, std=3.379, absmax=13.89 +2025-11-04 13:38:51,946 ERROR: Encountered non-finite generator loss at iter 23809; skipping update. +2025-11-04 13:38:51,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:51,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:51,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=14.01, mean=-0.07717, std=3.029, absmax=14.01 +2025-11-04 13:38:51,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=12.47, mean=-0.124, std=2.775, absmax=12.47 +2025-11-04 13:38:52,306 ERROR: Encountered non-finite generator loss at iter 23810; skipping update. +2025-11-04 13:38:52,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:52,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:52,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:52,309 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:52,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=13.43, mean=-0.1332, std=3.686, absmax=13.43 +2025-11-04 13:38:52,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=12.36, mean=-0.1265, std=3.344, absmax=12.51 +2025-11-04 13:38:52,667 ERROR: Encountered non-finite generator loss at iter 23811; skipping update. +2025-11-04 13:38:52,668 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:52,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:52,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:52,669 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:52,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.01, mean=0.05121, std=2.943, absmax=13.01 +2025-11-04 13:38:52,670 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=12.04, mean=0.05585, std=2.692, absmax=12.04 +2025-11-04 13:38:53,027 ERROR: Encountered non-finite generator loss at iter 23812; skipping update. +2025-11-04 13:38:53,028 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,029 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,030 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:53,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.08, mean=-0.1341, std=2.768, absmax=12.51 +2025-11-04 13:38:53,031 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.29, mean=-0.08291, std=2.66, absmax=11.29 +2025-11-04 13:38:53,387 ERROR: Encountered non-finite generator loss at iter 23813; skipping update. +2025-11-04 13:38:53,388 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,389 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,390 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:53,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.09, mean=-0.1712, std=2.782, absmax=11.87 +2025-11-04 13:38:53,391 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.31, mean=-0.1809, std=2.607, absmax=11.18 +2025-11-04 13:38:53,747 ERROR: Encountered non-finite generator loss at iter 23814; skipping update. +2025-11-04 13:38:53,749 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:53,750 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:53,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.81, mean=-0.2539, std=3.284, absmax=12.81 +2025-11-04 13:38:53,751 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.84, mean=-0.2512, std=3.045, absmax=12.84 +2025-11-04 13:38:54,107 ERROR: Encountered non-finite generator loss at iter 23815; skipping update. +2025-11-04 13:38:54,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:54,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=10.43, mean=-0.1879, std=2.56, absmax=11.29 +2025-11-04 13:38:54,111 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=9.381, mean=-0.1513, std=2.362, absmax=11.09 +2025-11-04 13:38:54,467 ERROR: Encountered non-finite generator loss at iter 23816; skipping update. +2025-11-04 13:38:54,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,469 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:54,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=12.94, mean=-0.151, std=3.317, absmax=15.76 +2025-11-04 13:38:54,470 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=12.34, mean=-0.1087, std=3.05, absmax=13.39 +2025-11-04 13:38:54,830 ERROR: Encountered non-finite generator loss at iter 23817; skipping update. +2025-11-04 13:38:54,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,831 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:54,832 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:54,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=14.73, mean=0.1485, std=3.439, absmax=14.73 +2025-11-04 13:38:54,833 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=13.31, mean=0.1146, std=3.193, absmax=13.31 +2025-11-04 13:38:55,189 ERROR: Encountered non-finite generator loss at iter 23818; skipping update. +2025-11-04 13:38:55,190 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,191 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,192 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:55,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=15.1, mean=-0.4728, std=3.572, absmax=15.1 +2025-11-04 13:38:55,193 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=11.36, mean=-0.4204, std=3.44, absmax=13 +2025-11-04 13:38:55,549 ERROR: Encountered non-finite generator loss at iter 23819; skipping update. +2025-11-04 13:38:55,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:55,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.19, mean=-0.192, std=2.593, absmax=12.77 +2025-11-04 13:38:55,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=11.15, mean=-0.2025, std=2.46, absmax=12.17 +2025-11-04 13:38:55,908 ERROR: Encountered non-finite generator loss at iter 23820; skipping update. +2025-11-04 13:38:55,909 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:55,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:55,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=17.01, mean=-0.2092, std=2.692, absmax=17.01 +2025-11-04 13:38:55,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=14.95, mean=-0.2206, std=2.414, absmax=14.95 +2025-11-04 13:38:56,267 ERROR: Encountered non-finite generator loss at iter 23821; skipping update. +2025-11-04 13:38:56,268 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,269 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,270 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:56,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=14.74, mean=-0.09583, std=3.034, absmax=14.74 +2025-11-04 13:38:56,271 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=14.58, mean=-0.07309, std=2.887, absmax=14.58 +2025-11-04 13:38:56,628 ERROR: Encountered non-finite generator loss at iter 23822; skipping update. +2025-11-04 13:38:56,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:56,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.41, mean=-0.2731, std=2.77, absmax=13.29 +2025-11-04 13:38:56,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=11.44, mean=-0.2435, std=2.661, absmax=12.25 +2025-11-04 13:38:56,987 ERROR: Encountered non-finite generator loss at iter 23823; skipping update. +2025-11-04 13:38:56,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,989 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:56,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:56,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.42, mean=-0.02575, std=3.312, absmax=13.42 +2025-11-04 13:38:56,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=11.93, mean=0.02239, std=3.111, absmax=11.98 +2025-11-04 13:38:57,348 ERROR: Encountered non-finite generator loss at iter 23824; skipping update. +2025-11-04 13:38:57,349 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:57,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:57,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:57,350 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:57,350 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.94, mean=-0.2233, std=3.009, absmax=13.94 +2025-11-04 13:38:57,351 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.78, mean=-0.1629, std=2.787, absmax=12.78 +2025-11-04 13:38:57,707 ERROR: Encountered non-finite generator loss at iter 23825; skipping update. +2025-11-04 13:38:57,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:57,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:57,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:57,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:57,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=11.76, mean=-0.3351, std=2.705, absmax=12.52 +2025-11-04 13:38:57,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=10.79, mean=-0.3313, std=2.534, absmax=11.88 +2025-11-04 13:38:58,067 ERROR: Encountered non-finite generator loss at iter 23826; skipping update. +2025-11-04 13:38:58,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:58,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=13.76, mean=-0.06585, std=2.817, absmax=13.76 +2025-11-04 13:38:58,071 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.66, mean=-0.05818, std=2.689, absmax=12.66 +2025-11-04 13:38:58,427 ERROR: Encountered non-finite generator loss at iter 23827; skipping update. +2025-11-04 13:38:58,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:58,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=11.2, mean=-0.1841, std=2.52, absmax=12.92 +2025-11-04 13:38:58,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=8.908, mean=-0.166, std=2.301, absmax=10.61 +2025-11-04 13:38:58,787 ERROR: Encountered non-finite generator loss at iter 23828; skipping update. +2025-11-04 13:38:58,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:58,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:58,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=14.74, mean=-0.1067, std=2.901, absmax=14.76 +2025-11-04 13:38:58,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.62, max=11.5, mean=-0.08132, std=2.634, absmax=13.62 +2025-11-04 13:38:59,147 ERROR: Encountered non-finite generator loss at iter 23829; skipping update. +2025-11-04 13:38:59,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,149 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:59,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.87, mean=-0.1149, std=2.712, absmax=13.87 +2025-11-04 13:38:59,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=11.51, mean=-0.1006, std=2.691, absmax=12.6 +2025-11-04 13:38:59,507 ERROR: Encountered non-finite generator loss at iter 23830; skipping update. +2025-11-04 13:38:59,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:59,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.34, mean=-0.2936, std=2.716, absmax=12.34 +2025-11-04 13:38:59,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=11.71, mean=-0.2521, std=2.544, absmax=11.71 +2025-11-04 13:38:59,867 ERROR: Encountered non-finite generator loss at iter 23831; skipping update. +2025-11-04 13:38:59,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,869 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:38:59,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:38:59,870 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=16.75, mean=-0.3143, std=3.599, absmax=16.75 +2025-11-04 13:38:59,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=15.04, mean=-0.2922, std=3.346, absmax=15.04 +2025-11-04 13:39:00,227 ERROR: Encountered non-finite generator loss at iter 23832; skipping update. +2025-11-04 13:39:00,229 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,230 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:00,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=14.54, mean=-0.3298, std=2.541, absmax=14.54 +2025-11-04 13:39:00,231 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=12.42, mean=-0.2985, std=2.524, absmax=12.42 +2025-11-04 13:39:00,588 ERROR: Encountered non-finite generator loss at iter 23833; skipping update. +2025-11-04 13:39:00,590 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,591 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,591 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:00,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=14.61, mean=-0.07603, std=3.814, absmax=15.31 +2025-11-04 13:39:00,592 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.62, max=13, mean=-0.05778, std=3.618, absmax=15.62 +2025-11-04 13:39:00,950 ERROR: Encountered non-finite generator loss at iter 23834; skipping update. +2025-11-04 13:39:00,951 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,952 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:00,952 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:00,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.99, mean=-0.07406, std=2.971, absmax=13.99 +2025-11-04 13:39:00,953 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=11.66, mean=-0.0499, std=2.676, absmax=11.66 +2025-11-04 13:39:01,310 ERROR: Encountered non-finite generator loss at iter 23835; skipping update. +2025-11-04 13:39:01,311 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:01,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:01,312 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:01,312 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:01,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.46, mean=-0.1678, std=3.024, absmax=13.46 +2025-11-04 13:39:01,313 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.92, mean=-0.1392, std=2.787, absmax=11.92 +2025-11-04 13:39:01,670 ERROR: Encountered non-finite generator loss at iter 23836; skipping update. +2025-11-04 13:39:01,671 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:01,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:01,671 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:01,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:01,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=13.22, mean=-0.2321, std=2.838, absmax=13.22 +2025-11-04 13:39:01,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=10.48, mean=-0.2096, std=2.69, absmax=10.48 +2025-11-04 13:39:02,030 ERROR: Encountered non-finite generator loss at iter 23837; skipping update. +2025-11-04 13:39:02,031 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,031 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,032 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,032 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:02,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=13.67, mean=-0.1284, std=3.588, absmax=14.65 +2025-11-04 13:39:02,033 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=12.16, mean=-0.1003, std=3.299, absmax=12.33 +2025-11-04 13:39:02,390 ERROR: Encountered non-finite generator loss at iter 23838; skipping update. +2025-11-04 13:39:02,391 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,392 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,392 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:02,393 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=14.58, mean=-0.09095, std=3.446, absmax=14.58 +2025-11-04 13:39:02,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=13.77, mean=-0.04057, std=3.251, absmax=13.77 +2025-11-04 13:39:02,751 ERROR: Encountered non-finite generator loss at iter 23839; skipping update. +2025-11-04 13:39:02,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,753 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:02,753 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:02,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.45, max=12.36, mean=-0.1969, std=2.545, absmax=12.36 +2025-11-04 13:39:02,754 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=11.73, mean=-0.2105, std=2.386, absmax=11.73 +2025-11-04 13:39:03,112 ERROR: Encountered non-finite generator loss at iter 23840; skipping update. +2025-11-04 13:39:03,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:03,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=17.92, mean=0.07166, std=3.357, absmax=17.92 +2025-11-04 13:39:03,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=16, mean=0.09859, std=3.033, absmax=16 +2025-11-04 13:39:03,472 ERROR: Encountered non-finite generator loss at iter 23841; skipping update. +2025-11-04 13:39:03,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:03,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=10.36, mean=-0.247, std=2.298, absmax=11.79 +2025-11-04 13:39:03,476 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=9.69, mean=-0.2477, std=2.22, absmax=10.77 +2025-11-04 13:39:03,833 ERROR: Encountered non-finite generator loss at iter 23842; skipping update. +2025-11-04 13:39:03,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:03,835 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:03,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=10.06, mean=-0.3437, std=3.106, absmax=13.8 +2025-11-04 13:39:03,836 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=8.698, mean=-0.3103, std=2.855, absmax=11.91 +2025-11-04 13:39:04,192 ERROR: Encountered non-finite generator loss at iter 23843; skipping update. +2025-11-04 13:39:04,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:04,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=10.81, mean=-0.1593, std=2.367, absmax=11.26 +2025-11-04 13:39:04,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=10.41, mean=-0.1388, std=2.229, absmax=11.29 +2025-11-04 13:39:04,552 ERROR: Encountered non-finite generator loss at iter 23844; skipping update. +2025-11-04 13:39:04,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:04,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.57, max=10.8, mean=-0.02641, std=2.755, absmax=10.8 +2025-11-04 13:39:04,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=9.686, mean=-0.03086, std=2.568, absmax=10.38 +2025-11-04 13:39:04,913 ERROR: Encountered non-finite generator loss at iter 23845; skipping update. +2025-11-04 13:39:04,915 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:04,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:04,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=15.24, mean=-0.2535, std=3.457, absmax=15.24 +2025-11-04 13:39:04,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=11.62, mean=-0.2233, std=3.249, absmax=13.04 +2025-11-04 13:39:05,276 ERROR: Encountered non-finite generator loss at iter 23846; skipping update. +2025-11-04 13:39:05,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:05,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:05,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:05,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:05,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.97, mean=-0.1008, std=2.987, absmax=12.97 +2025-11-04 13:39:05,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.5, mean=-0.1041, std=2.71, absmax=10.9 +2025-11-04 13:39:05,638 ERROR: Encountered non-finite generator loss at iter 23847; skipping update. +2025-11-04 13:39:05,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:05,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:05,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:05,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:05,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=18.6, mean=-0.1517, std=3.421, absmax=18.6 +2025-11-04 13:39:05,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=17.94, mean=-0.1673, std=3.213, absmax=17.94 +2025-11-04 13:39:05,998 ERROR: Encountered non-finite generator loss at iter 23848; skipping update. +2025-11-04 13:39:05,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:05,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:06,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.54, mean=-0.1987, std=2.749, absmax=14.54 +2025-11-04 13:39:06,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.77, mean=-0.2008, std=2.635, absmax=12.77 +2025-11-04 13:39:06,358 ERROR: Encountered non-finite generator loss at iter 23849; skipping update. +2025-11-04 13:39:06,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:06,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=14.04, mean=-0.03354, std=3.064, absmax=15.1 +2025-11-04 13:39:06,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.24, max=12.86, mean=-0.0515, std=2.935, absmax=14.24 +2025-11-04 13:39:06,718 ERROR: Encountered non-finite generator loss at iter 23850; skipping update. +2025-11-04 13:39:06,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:06,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:06,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=13.74, mean=-0.2147, std=2.98, absmax=13.74 +2025-11-04 13:39:06,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.37, mean=-0.2196, std=2.83, absmax=11.37 +2025-11-04 13:39:07,077 ERROR: Encountered non-finite generator loss at iter 23851; skipping update. +2025-11-04 13:39:07,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:07,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=14.01, mean=0.007703, std=3.042, absmax=14.01 +2025-11-04 13:39:07,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=11.69, mean=0.009398, std=2.81, absmax=11.69 +2025-11-04 13:39:07,437 ERROR: Encountered non-finite generator loss at iter 23852; skipping update. +2025-11-04 13:39:07,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:07,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=15.8, mean=-0.3114, std=3.02, absmax=15.8 +2025-11-04 13:39:07,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.34, mean=-0.2888, std=2.812, absmax=12.34 +2025-11-04 13:39:07,797 ERROR: Encountered non-finite generator loss at iter 23853; skipping update. +2025-11-04 13:39:07,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:07,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:07,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=13.02, mean=-0.09464, std=3.071, absmax=13.02 +2025-11-04 13:39:07,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=11.69, mean=-0.0644, std=2.788, absmax=11.72 +2025-11-04 13:39:08,158 ERROR: Encountered non-finite generator loss at iter 23854; skipping update. +2025-11-04 13:39:08,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:08,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.02, mean=-0.2499, std=2.761, absmax=12.04 +2025-11-04 13:39:08,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=9.95, mean=-0.2146, std=2.613, absmax=10.95 +2025-11-04 13:39:08,518 ERROR: Encountered non-finite generator loss at iter 23855; skipping update. +2025-11-04 13:39:08,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:08,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=10.27, mean=-0.3685, std=2.858, absmax=13.81 +2025-11-04 13:39:08,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=9.358, mean=-0.3374, std=2.607, absmax=10.82 +2025-11-04 13:39:08,878 ERROR: Encountered non-finite generator loss at iter 23856; skipping update. +2025-11-04 13:39:08,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,879 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:08,880 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:08,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.98, mean=-0.3077, std=3.043, absmax=13.27 +2025-11-04 13:39:08,881 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=11.39, mean=-0.2819, std=2.867, absmax=12.86 +2025-11-04 13:39:09,237 ERROR: Encountered non-finite generator loss at iter 23857; skipping update. +2025-11-04 13:39:09,238 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,239 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:09,240 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=18.33, mean=0.2197, std=3.601, absmax=18.33 +2025-11-04 13:39:09,240 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.11, max=16.21, mean=0.233, std=3.444, absmax=16.21 +2025-11-04 13:39:09,597 ERROR: Encountered non-finite generator loss at iter 23858; skipping update. +2025-11-04 13:39:09,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,599 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:09,600 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=15.54, mean=-0.1818, std=2.897, absmax=15.54 +2025-11-04 13:39:09,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=15.45, mean=-0.1463, std=2.7, absmax=15.45 +2025-11-04 13:39:09,956 ERROR: Encountered non-finite generator loss at iter 23859; skipping update. +2025-11-04 13:39:09,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:09,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:09,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=10.75, mean=-0.3011, std=2.877, absmax=13.32 +2025-11-04 13:39:09,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=10.03, mean=-0.2335, std=2.691, absmax=11.64 +2025-11-04 13:39:10,316 ERROR: Encountered non-finite generator loss at iter 23860; skipping update. +2025-11-04 13:39:10,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:10,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:10,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:10,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:10,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=9.804, mean=-0.2465, std=2.697, absmax=12.48 +2025-11-04 13:39:10,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=8.737, mean=-0.2691, std=2.641, absmax=10.51 +2025-11-04 13:39:10,676 ERROR: Encountered non-finite generator loss at iter 23861; skipping update. +2025-11-04 13:39:10,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:10,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:10,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:10,678 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:10,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.44, mean=-0.2177, std=2.877, absmax=13.44 +2025-11-04 13:39:10,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.76, mean=-0.214, std=2.607, absmax=11.65 +2025-11-04 13:39:11,035 ERROR: Encountered non-finite generator loss at iter 23862; skipping update. +2025-11-04 13:39:11,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,037 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:11,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=14.48, mean=0.04156, std=3.931, absmax=14.48 +2025-11-04 13:39:11,038 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=13.08, mean=0.04166, std=3.64, absmax=13.39 +2025-11-04 13:39:11,396 ERROR: Encountered non-finite generator loss at iter 23863; skipping update. +2025-11-04 13:39:11,396 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,397 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,397 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,397 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:11,398 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=14.52, mean=0.04178, std=3.657, absmax=14.52 +2025-11-04 13:39:11,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=13.45, mean=0.03326, std=3.393, absmax=13.45 +2025-11-04 13:39:11,756 ERROR: Encountered non-finite generator loss at iter 23864; skipping update. +2025-11-04 13:39:11,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,757 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:11,758 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:11,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.77, mean=-0.2593, std=2.702, absmax=12.84 +2025-11-04 13:39:11,759 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=8.803, mean=-0.2637, std=2.453, absmax=11.63 +2025-11-04 13:39:12,116 ERROR: Encountered non-finite generator loss at iter 23865; skipping update. +2025-11-04 13:39:12,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:12,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.26, mean=-0.08359, std=3.174, absmax=13.26 +2025-11-04 13:39:12,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=11.47, mean=-0.09686, std=2.869, absmax=11.8 +2025-11-04 13:39:12,476 ERROR: Encountered non-finite generator loss at iter 23866; skipping update. +2025-11-04 13:39:12,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:12,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=13.48, mean=-0.1725, std=2.878, absmax=13.48 +2025-11-04 13:39:12,479 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.37, mean=-0.165, std=2.655, absmax=11.37 +2025-11-04 13:39:12,836 ERROR: Encountered non-finite generator loss at iter 23867; skipping update. +2025-11-04 13:39:12,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:12,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:12,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.68, mean=-0.2872, std=2.804, absmax=11.94 +2025-11-04 13:39:12,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=10.62, mean=-0.2724, std=2.52, absmax=11.6 +2025-11-04 13:39:13,196 ERROR: Encountered non-finite generator loss at iter 23868; skipping update. +2025-11-04 13:39:13,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:13,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.24, max=15.18, mean=-0.05351, std=3.406, absmax=17.24 +2025-11-04 13:39:13,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.53, max=13, mean=-0.0458, std=3.195, absmax=14.53 +2025-11-04 13:39:13,557 ERROR: Encountered non-finite generator loss at iter 23869; skipping update. +2025-11-04 13:39:13,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,559 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:13,560 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=16.5, mean=-0.02163, std=2.965, absmax=16.5 +2025-11-04 13:39:13,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=14.33, mean=-0.004217, std=2.679, absmax=14.33 +2025-11-04 13:39:13,918 ERROR: Encountered non-finite generator loss at iter 23870; skipping update. +2025-11-04 13:39:13,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,919 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:13,920 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:13,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=11.1, mean=-0.1785, std=2.926, absmax=15 +2025-11-04 13:39:13,921 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=9.897, mean=-0.1694, std=2.742, absmax=12.93 +2025-11-04 13:39:14,278 ERROR: Encountered non-finite generator loss at iter 23871; skipping update. +2025-11-04 13:39:14,279 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:14,279 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:14,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:14,280 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:14,281 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=14.68, mean=-0.03724, std=2.995, absmax=14.68 +2025-11-04 13:39:14,281 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.65, mean=-0.05779, std=2.638, absmax=12.65 +2025-11-04 13:39:14,638 ERROR: Encountered non-finite generator loss at iter 23872; skipping update. +2025-11-04 13:39:14,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:14,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:14,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:14,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:14,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.68, max=10.28, mean=-0.1526, std=2.726, absmax=10.68 +2025-11-04 13:39:14,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=11.35, mean=-0.1507, std=2.507, absmax=11.35 +2025-11-04 13:39:14,998 ERROR: Encountered non-finite generator loss at iter 23873; skipping update. +2025-11-04 13:39:14,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,000 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:15,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.39, mean=-0.173, std=2.9, absmax=13.55 +2025-11-04 13:39:15,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.28, max=11.02, mean=-0.186, std=2.7, absmax=14.28 +2025-11-04 13:39:15,359 ERROR: Encountered non-finite generator loss at iter 23874; skipping update. +2025-11-04 13:39:15,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,362 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:15,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.7, mean=-0.3112, std=2.689, absmax=12.9 +2025-11-04 13:39:15,363 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=9.557, mean=-0.2809, std=2.623, absmax=11.92 +2025-11-04 13:39:15,719 ERROR: Encountered non-finite generator loss at iter 23875; skipping update. +2025-11-04 13:39:15,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:15,721 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:15,722 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=11.43, mean=-0.04019, std=2.833, absmax=11.43 +2025-11-04 13:39:15,723 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.85, max=9.807, mean=-0.04286, std=2.611, absmax=9.85 +2025-11-04 13:39:16,079 ERROR: Encountered non-finite generator loss at iter 23876; skipping update. +2025-11-04 13:39:16,080 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,081 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:16,082 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=11.38, mean=-0.2048, std=3.024, absmax=13.6 +2025-11-04 13:39:16,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=9.474, mean=-0.2254, std=2.798, absmax=11.73 +2025-11-04 13:39:16,438 ERROR: Encountered non-finite generator loss at iter 23877; skipping update. +2025-11-04 13:39:16,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:16,441 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.08, mean=-0.05666, std=3.586, absmax=13.26 +2025-11-04 13:39:16,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=10.34, mean=-0.08298, std=3.283, absmax=13.25 +2025-11-04 13:39:16,797 ERROR: Encountered non-finite generator loss at iter 23878; skipping update. +2025-11-04 13:39:16,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:16,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:16,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.27, mean=-0.3128, std=3.126, absmax=12.79 +2025-11-04 13:39:16,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.68, max=10.07, mean=-0.3023, std=2.848, absmax=13.68 +2025-11-04 13:39:17,156 ERROR: Encountered non-finite generator loss at iter 23879; skipping update. +2025-11-04 13:39:17,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:17,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=14.04, mean=-0.2599, std=3.335, absmax=14.04 +2025-11-04 13:39:17,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=12.21, mean=-0.2822, std=3.2, absmax=12.21 +2025-11-04 13:39:17,515 ERROR: Encountered non-finite generator loss at iter 23880; skipping update. +2025-11-04 13:39:17,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,518 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:17,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=11.89, mean=-0.279, std=3.32, absmax=13.9 +2025-11-04 13:39:17,519 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.87, max=10.07, mean=-0.2743, std=3.081, absmax=14.87 +2025-11-04 13:39:17,875 ERROR: Encountered non-finite generator loss at iter 23881; skipping update. +2025-11-04 13:39:17,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:17,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:17,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=11.82, mean=-0.1968, std=2.588, absmax=11.82 +2025-11-04 13:39:17,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=8.948, mean=-0.2248, std=2.467, absmax=11.34 +2025-11-04 13:39:18,234 ERROR: Encountered non-finite generator loss at iter 23882; skipping update. +2025-11-04 13:39:18,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:18,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.03, mean=-0.04467, std=3.111, absmax=13.03 +2025-11-04 13:39:18,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=12.27, mean=-0.08015, std=2.931, absmax=12.27 +2025-11-04 13:39:18,593 ERROR: Encountered non-finite generator loss at iter 23883; skipping update. +2025-11-04 13:39:18,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,594 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:18,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=10.87, mean=-0.004093, std=2.855, absmax=10.9 +2025-11-04 13:39:18,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.531, max=10.12, mean=0.01143, std=2.676, absmax=10.12 +2025-11-04 13:39:18,951 ERROR: Encountered non-finite generator loss at iter 23884; skipping update. +2025-11-04 13:39:18,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:18,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:18,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.12, mean=-0.1384, std=3.088, absmax=14.12 +2025-11-04 13:39:18,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=13.4, mean=-0.1452, std=2.829, absmax=13.4 +2025-11-04 13:39:19,310 ERROR: Encountered non-finite generator loss at iter 23885; skipping update. +2025-11-04 13:39:19,311 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:19,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:19,312 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:19,312 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:19,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.35, mean=-0.103, std=2.604, absmax=12.35 +2025-11-04 13:39:19,313 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=10.93, mean=-0.1011, std=2.46, absmax=10.93 +2025-11-04 13:39:19,669 ERROR: Encountered non-finite generator loss at iter 23886; skipping update. +2025-11-04 13:39:19,669 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:19,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:19,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:19,671 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:19,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=15.52, mean=-0.1628, std=3.165, absmax=15.52 +2025-11-04 13:39:19,672 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=14.51, mean=-0.1609, std=2.846, absmax=14.51 +2025-11-04 13:39:20,028 ERROR: Encountered non-finite generator loss at iter 23887; skipping update. +2025-11-04 13:39:20,028 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,029 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,029 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:20,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=15.12, mean=-0.1227, std=3.616, absmax=15.12 +2025-11-04 13:39:20,030 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=13.95, mean=-0.09278, std=3.377, absmax=13.95 +2025-11-04 13:39:20,387 ERROR: Encountered non-finite generator loss at iter 23888; skipping update. +2025-11-04 13:39:20,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:20,389 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.59, mean=-0.08714, std=3.191, absmax=12.84 +2025-11-04 13:39:20,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.8, mean=-0.06913, std=2.923, absmax=11.2 +2025-11-04 13:39:20,747 ERROR: Encountered non-finite generator loss at iter 23889; skipping update. +2025-11-04 13:39:20,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:20,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:20,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=11.21, mean=-0.2004, std=3.206, absmax=13.28 +2025-11-04 13:39:20,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.54, mean=-0.187, std=2.914, absmax=11.57 +2025-11-04 13:39:21,106 ERROR: Encountered non-finite generator loss at iter 23890; skipping update. +2025-11-04 13:39:21,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:21,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=10.41, mean=-0.08601, std=2.694, absmax=12.14 +2025-11-04 13:39:21,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=10.44, mean=-0.05617, std=2.562, absmax=10.93 +2025-11-04 13:39:21,467 ERROR: Encountered non-finite generator loss at iter 23891; skipping update. +2025-11-04 13:39:21,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,469 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:21,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=12.22, mean=-0.07015, std=3.39, absmax=13.46 +2025-11-04 13:39:21,470 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.77, max=11.59, mean=-0.03412, std=3.13, absmax=13.77 +2025-11-04 13:39:21,828 ERROR: Encountered non-finite generator loss at iter 23892; skipping update. +2025-11-04 13:39:21,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,829 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:21,830 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:21,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=14.64, mean=-0.2109, std=3.1, absmax=14.64 +2025-11-04 13:39:21,831 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=13.66, mean=-0.2095, std=2.874, absmax=13.66 +2025-11-04 13:39:22,188 ERROR: Encountered non-finite generator loss at iter 23893; skipping update. +2025-11-04 13:39:22,189 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,190 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,191 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:22,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=11.47, mean=0.04805, std=2.949, absmax=12.76 +2025-11-04 13:39:22,192 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=10.69, mean=0.02949, std=2.656, absmax=10.92 +2025-11-04 13:39:22,549 ERROR: Encountered non-finite generator loss at iter 23894; skipping update. +2025-11-04 13:39:22,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,551 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:22,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.81, mean=-0.1256, std=3.043, absmax=12.81 +2025-11-04 13:39:22,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=11.22, mean=-0.1243, std=2.733, absmax=11.47 +2025-11-04 13:39:22,908 ERROR: Encountered non-finite generator loss at iter 23895; skipping update. +2025-11-04 13:39:22,910 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,911 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:22,911 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:22,912 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=13.54, mean=-0.03607, std=2.964, absmax=13.54 +2025-11-04 13:39:22,912 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=12.43, mean=-0.05005, std=2.824, absmax=12.43 +2025-11-04 13:39:23,269 ERROR: Encountered non-finite generator loss at iter 23896; skipping update. +2025-11-04 13:39:23,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,271 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,271 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:23,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=10.16, mean=-0.1797, std=3.031, absmax=13.01 +2025-11-04 13:39:23,273 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=9.509, mean=-0.1793, std=2.883, absmax=12.37 +2025-11-04 13:39:23,629 ERROR: Encountered non-finite generator loss at iter 23897; skipping update. +2025-11-04 13:39:23,630 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,631 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:23,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.41, mean=-0.06923, std=3.124, absmax=12.41 +2025-11-04 13:39:23,633 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.04, mean=-0.06063, std=2.932, absmax=11.54 +2025-11-04 13:39:23,989 ERROR: Encountered non-finite generator loss at iter 23898; skipping update. +2025-11-04 13:39:23,990 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,991 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:23,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:23,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=15.26, mean=-0.3148, std=2.911, absmax=15.26 +2025-11-04 13:39:23,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=11.31, mean=-0.2875, std=2.641, absmax=12.76 +2025-11-04 13:39:24,353 ERROR: Encountered non-finite generator loss at iter 23899; skipping update. +2025-11-04 13:39:24,354 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:24,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:24,355 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:24,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:24,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.65, mean=-0.01261, std=3.551, absmax=14.65 +2025-11-04 13:39:24,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.31, max=11.63, mean=-0.008398, std=3.285, absmax=14.31 +2025-11-04 13:39:24,715 ERROR: Encountered non-finite generator loss at iter 23900; skipping update. +2025-11-04 13:39:24,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:24,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:24,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:24,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:24,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=14.14, mean=-0.1221, std=3.195, absmax=14.14 +2025-11-04 13:39:24,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=12.4, mean=-0.105, std=2.966, absmax=12.4 +2025-11-04 13:39:24,720 INFO: [38..][epoch: 0, step: 23,900, lr:(2.000e-04,)] [eta: 1 day, 4:12:43, time (data): 0.361 (0.000)] +2025-11-04 13:39:25,076 ERROR: Encountered non-finite generator loss at iter 23901; skipping update. +2025-11-04 13:39:25,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:25,079 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=10.88, mean=-0.09974, std=2.816, absmax=12.49 +2025-11-04 13:39:25,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=10.76, mean=-0.1036, std=2.604, absmax=12.15 +2025-11-04 13:39:25,437 ERROR: Encountered non-finite generator loss at iter 23902; skipping update. +2025-11-04 13:39:25,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:25,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=13.61, mean=-0.1102, std=3.237, absmax=13.61 +2025-11-04 13:39:25,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=10.61, mean=-0.1192, std=2.909, absmax=11.62 +2025-11-04 13:39:25,797 ERROR: Encountered non-finite generator loss at iter 23903; skipping update. +2025-11-04 13:39:25,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:25,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:25,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=11.71, mean=-0.411, std=3.251, absmax=14.23 +2025-11-04 13:39:25,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=9.426, mean=-0.3858, std=3.123, absmax=13.69 +2025-11-04 13:39:26,157 ERROR: Encountered non-finite generator loss at iter 23904; skipping update. +2025-11-04 13:39:26,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,159 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:26,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.33, max=15.7, mean=-0.1433, std=3.574, absmax=15.7 +2025-11-04 13:39:26,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=14.12, mean=-0.125, std=3.258, absmax=14.12 +2025-11-04 13:39:26,517 ERROR: Encountered non-finite generator loss at iter 23905; skipping update. +2025-11-04 13:39:26,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:26,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.06, mean=-0.1508, std=2.763, absmax=13.07 +2025-11-04 13:39:26,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.07, mean=-0.1123, std=2.58, absmax=11.07 +2025-11-04 13:39:26,878 ERROR: Encountered non-finite generator loss at iter 23906; skipping update. +2025-11-04 13:39:26,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:26,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:26,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=15.68, mean=-0.2885, std=3.474, absmax=15.68 +2025-11-04 13:39:26,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.05, max=13.63, mean=-0.308, std=3.278, absmax=14.05 +2025-11-04 13:39:27,241 ERROR: Encountered non-finite generator loss at iter 23907; skipping update. +2025-11-04 13:39:27,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:27,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=11.68, mean=-0.2416, std=3.192, absmax=14.59 +2025-11-04 13:39:27,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=10.2, mean=-0.2531, std=2.923, absmax=11.36 +2025-11-04 13:39:27,602 ERROR: Encountered non-finite generator loss at iter 23908; skipping update. +2025-11-04 13:39:27,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,603 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:27,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.67, mean=-0.2616, std=3.031, absmax=12.67 +2025-11-04 13:39:27,605 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=11.28, mean=-0.2244, std=2.803, absmax=11.28 +2025-11-04 13:39:27,962 ERROR: Encountered non-finite generator loss at iter 23909; skipping update. +2025-11-04 13:39:27,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:27,966 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:27,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.72, mean=-0.08026, std=3.306, absmax=14.72 +2025-11-04 13:39:27,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=13.18, mean=-0.08079, std=3.06, absmax=13.18 +2025-11-04 13:39:28,324 ERROR: Encountered non-finite generator loss at iter 23910; skipping update. +2025-11-04 13:39:28,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:28,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:28,328 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:28,329 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:28,329 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.55, mean=-0.2484, std=3.221, absmax=13.78 +2025-11-04 13:39:28,330 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=11.85, mean=-0.214, std=2.995, absmax=11.98 +2025-11-04 13:39:28,687 ERROR: Encountered non-finite generator loss at iter 23911; skipping update. +2025-11-04 13:39:28,688 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:28,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:28,689 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:28,689 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:28,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=11.38, mean=-0.2374, std=2.836, absmax=11.84 +2025-11-04 13:39:28,690 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=10.45, mean=-0.2173, std=2.76, absmax=11.02 +2025-11-04 13:39:29,047 ERROR: Encountered non-finite generator loss at iter 23912; skipping update. +2025-11-04 13:39:29,048 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,049 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,050 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:29,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=11.48, mean=-0.2788, std=3.128, absmax=14 +2025-11-04 13:39:29,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=9.098, mean=-0.2501, std=2.867, absmax=12.55 +2025-11-04 13:39:29,409 ERROR: Encountered non-finite generator loss at iter 23913; skipping update. +2025-11-04 13:39:29,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,410 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:29,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.58, max=11.56, mean=-0.1156, std=2.622, absmax=11.56 +2025-11-04 13:39:29,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.984, max=10.53, mean=-0.08887, std=2.486, absmax=10.53 +2025-11-04 13:39:29,768 ERROR: Encountered non-finite generator loss at iter 23914; skipping update. +2025-11-04 13:39:29,769 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,770 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:29,770 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:29,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=13.47, mean=-0.1868, std=3.365, absmax=13.76 +2025-11-04 13:39:29,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=13.73, mean=-0.1622, std=3.121, absmax=13.73 +2025-11-04 13:39:30,129 ERROR: Encountered non-finite generator loss at iter 23915; skipping update. +2025-11-04 13:39:30,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,131 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,131 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:30,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=15, mean=-0.113, std=3.303, absmax=15 +2025-11-04 13:39:30,133 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.25, mean=-0.08537, std=2.946, absmax=12.34 +2025-11-04 13:39:30,489 ERROR: Encountered non-finite generator loss at iter 23916; skipping update. +2025-11-04 13:39:30,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:30,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.83, mean=-0.3613, std=3.217, absmax=13.83 +2025-11-04 13:39:30,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=12.55, mean=-0.3155, std=2.96, absmax=12.55 +2025-11-04 13:39:30,848 ERROR: Encountered non-finite generator loss at iter 23917; skipping update. +2025-11-04 13:39:30,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:30,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:30,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=11.86, mean=-0.3479, std=3.059, absmax=12.02 +2025-11-04 13:39:30,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=11.23, mean=-0.3108, std=2.764, absmax=11.23 +2025-11-04 13:39:31,208 ERROR: Encountered non-finite generator loss at iter 23918; skipping update. +2025-11-04 13:39:31,209 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,210 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:31,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.75, mean=-0.0742, std=2.969, absmax=12.75 +2025-11-04 13:39:31,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.02, mean=-0.07938, std=2.748, absmax=12.02 +2025-11-04 13:39:31,567 ERROR: Encountered non-finite generator loss at iter 23919; skipping update. +2025-11-04 13:39:31,568 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,569 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,570 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:31,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.42, mean=0.02134, std=2.979, absmax=13.42 +2025-11-04 13:39:31,571 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=11.46, mean=0.05868, std=2.829, absmax=11.46 +2025-11-04 13:39:31,928 ERROR: Encountered non-finite generator loss at iter 23920; skipping update. +2025-11-04 13:39:31,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:31,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:31,930 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=14.17, mean=-0.2561, std=2.693, absmax=14.17 +2025-11-04 13:39:31,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=12.63, mean=-0.2417, std=2.575, absmax=12.63 +2025-11-04 13:39:32,287 ERROR: Encountered non-finite generator loss at iter 23921; skipping update. +2025-11-04 13:39:32,288 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:32,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:32,289 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:32,290 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:32,290 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.16, mean=-0.2295, std=2.675, absmax=12.16 +2025-11-04 13:39:32,291 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=11.4, mean=-0.2457, std=2.574, absmax=11.4 +2025-11-04 13:39:32,647 ERROR: Encountered non-finite generator loss at iter 23922; skipping update. +2025-11-04 13:39:32,648 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:32,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:32,649 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:32,649 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:32,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.21, mean=-0.2008, std=2.845, absmax=12.43 +2025-11-04 13:39:32,650 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=12.18, mean=-0.2042, std=2.628, absmax=12.18 +2025-11-04 13:39:33,007 ERROR: Encountered non-finite generator loss at iter 23923; skipping update. +2025-11-04 13:39:33,008 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,009 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,009 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:33,010 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=13.26, mean=-0.2623, std=3.045, absmax=13.26 +2025-11-04 13:39:33,010 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=13.06, mean=-0.2399, std=2.852, absmax=13.06 +2025-11-04 13:39:33,367 ERROR: Encountered non-finite generator loss at iter 23924; skipping update. +2025-11-04 13:39:33,368 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,369 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,369 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:33,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.06, mean=-0.0672, std=3.017, absmax=12.33 +2025-11-04 13:39:33,370 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=11.9, mean=-0.09998, std=2.92, absmax=11.9 +2025-11-04 13:39:33,728 ERROR: Encountered non-finite generator loss at iter 23925; skipping update. +2025-11-04 13:39:33,729 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,730 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:33,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:33,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=11.47, mean=-0.2911, std=2.952, absmax=12.86 +2025-11-04 13:39:33,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=9.634, mean=-0.2674, std=2.739, absmax=11.14 +2025-11-04 13:39:34,088 ERROR: Encountered non-finite generator loss at iter 23926; skipping update. +2025-11-04 13:39:34,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,090 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:34,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=12.21, mean=-0.2093, std=2.896, absmax=12.5 +2025-11-04 13:39:34,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=10.66, mean=-0.205, std=2.643, absmax=11.66 +2025-11-04 13:39:34,448 ERROR: Encountered non-finite generator loss at iter 23927; skipping update. +2025-11-04 13:39:34,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,450 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:34,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.35, mean=-0.1276, std=3.264, absmax=12.35 +2025-11-04 13:39:34,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=10.59, mean=-0.1694, std=3.019, absmax=11.92 +2025-11-04 13:39:34,808 ERROR: Encountered non-finite generator loss at iter 23928; skipping update. +2025-11-04 13:39:34,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:34,810 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:34,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=12.77, mean=-0.2806, std=2.618, absmax=13.9 +2025-11-04 13:39:34,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=10.04, mean=-0.2688, std=2.453, absmax=11.45 +2025-11-04 13:39:35,168 ERROR: Encountered non-finite generator loss at iter 23929; skipping update. +2025-11-04 13:39:35,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:35,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.27, mean=-0.08562, std=3.17, absmax=12.49 +2025-11-04 13:39:35,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=11.08, mean=-0.1086, std=3.088, absmax=11.89 +2025-11-04 13:39:35,528 ERROR: Encountered non-finite generator loss at iter 23930; skipping update. +2025-11-04 13:39:35,528 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,529 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:35,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=10.35, mean=-0.2104, std=2.499, absmax=13.66 +2025-11-04 13:39:35,531 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=9.486, mean=-0.1674, std=2.381, absmax=11.3 +2025-11-04 13:39:35,888 ERROR: Encountered non-finite generator loss at iter 23931; skipping update. +2025-11-04 13:39:35,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:35,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:35,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.72, mean=0.1193, std=3.373, absmax=14.72 +2025-11-04 13:39:35,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=14.29, mean=0.08743, std=3.105, absmax=14.29 +2025-11-04 13:39:36,248 ERROR: Encountered non-finite generator loss at iter 23932; skipping update. +2025-11-04 13:39:36,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:36,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.75, mean=-0.2667, std=2.756, absmax=12.75 +2025-11-04 13:39:36,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=11.28, mean=-0.2527, std=2.599, absmax=12.82 +2025-11-04 13:39:36,608 ERROR: Encountered non-finite generator loss at iter 23933; skipping update. +2025-11-04 13:39:36,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:36,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=15.3, mean=0.1783, std=3.643, absmax=15.3 +2025-11-04 13:39:36,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=15.51, mean=0.1904, std=3.5, absmax=15.51 +2025-11-04 13:39:36,968 ERROR: Encountered non-finite generator loss at iter 23934; skipping update. +2025-11-04 13:39:36,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:36,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:36,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.44, mean=0.1649, std=3.146, absmax=13.44 +2025-11-04 13:39:36,971 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.1, mean=0.1496, std=2.906, absmax=12.21 +2025-11-04 13:39:37,328 ERROR: Encountered non-finite generator loss at iter 23935; skipping update. +2025-11-04 13:39:37,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:37,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:37,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:37,330 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:37,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=10.32, mean=-0.1048, std=2.883, absmax=12.91 +2025-11-04 13:39:37,331 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.581, mean=-0.08825, std=2.551, absmax=11.4 +2025-11-04 13:39:37,689 ERROR: Encountered non-finite generator loss at iter 23936; skipping update. +2025-11-04 13:39:37,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:37,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:37,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:37,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:37,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.59, mean=-0.01315, std=2.75, absmax=12.59 +2025-11-04 13:39:37,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=11.79, mean=-0.02537, std=2.527, absmax=11.79 +2025-11-04 13:39:38,049 ERROR: Encountered non-finite generator loss at iter 23937; skipping update. +2025-11-04 13:39:38,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,051 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,052 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:38,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=14.07, mean=-0.1484, std=3.525, absmax=14.07 +2025-11-04 13:39:38,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=12.8, mean=-0.1226, std=3.446, absmax=12.87 +2025-11-04 13:39:38,410 ERROR: Encountered non-finite generator loss at iter 23938; skipping update. +2025-11-04 13:39:38,411 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,412 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,412 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:38,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.71, mean=-0.1263, std=3.114, absmax=12.71 +2025-11-04 13:39:38,413 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.07, mean=-0.1255, std=2.85, absmax=11.3 +2025-11-04 13:39:38,770 ERROR: Encountered non-finite generator loss at iter 23939; skipping update. +2025-11-04 13:39:38,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,772 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:38,772 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:38,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.71, mean=-0.2858, std=2.958, absmax=13.71 +2025-11-04 13:39:38,773 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=11.09, mean=-0.2687, std=2.799, absmax=11.63 +2025-11-04 13:39:39,130 ERROR: Encountered non-finite generator loss at iter 23940; skipping update. +2025-11-04 13:39:39,131 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,132 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,133 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:39,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=11.91, mean=-0.168, std=3.078, absmax=12.28 +2025-11-04 13:39:39,134 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.04, mean=-0.1653, std=2.716, absmax=10.85 +2025-11-04 13:39:39,491 ERROR: Encountered non-finite generator loss at iter 23941; skipping update. +2025-11-04 13:39:39,492 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,492 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,492 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:39,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.81, mean=-0.2494, std=2.741, absmax=12.77 +2025-11-04 13:39:39,493 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=10.23, mean=-0.2061, std=2.498, absmax=11.02 +2025-11-04 13:39:39,850 ERROR: Encountered non-finite generator loss at iter 23942; skipping update. +2025-11-04 13:39:39,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,852 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:39,853 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:39,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.45, mean=-0.2534, std=2.499, absmax=12.62 +2025-11-04 13:39:39,854 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=10.79, mean=-0.2505, std=2.356, absmax=12.32 +2025-11-04 13:39:40,210 ERROR: Encountered non-finite generator loss at iter 23943; skipping update. +2025-11-04 13:39:40,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,212 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:40,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=11.08, mean=-0.2444, std=2.509, absmax=13.33 +2025-11-04 13:39:40,214 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=8.584, mean=-0.2738, std=2.349, absmax=11.12 +2025-11-04 13:39:40,570 ERROR: Encountered non-finite generator loss at iter 23944; skipping update. +2025-11-04 13:39:40,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:40,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=14.51, mean=-0.1488, std=2.745, absmax=14.51 +2025-11-04 13:39:40,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=12.69, mean=-0.1313, std=2.478, absmax=12.69 +2025-11-04 13:39:40,930 ERROR: Encountered non-finite generator loss at iter 23945; skipping update. +2025-11-04 13:39:40,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:40,934 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:40,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19.26, max=14.53, mean=-0.123, std=3.008, absmax=19.26 +2025-11-04 13:39:40,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.99, max=12.85, mean=-0.07301, std=2.826, absmax=14.99 +2025-11-04 13:39:41,292 ERROR: Encountered non-finite generator loss at iter 23946; skipping update. +2025-11-04 13:39:41,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:41,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:41,294 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:41,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:41,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=13.73, mean=-0.006313, std=3.546, absmax=13.73 +2025-11-04 13:39:41,295 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=13.29, mean=-0.008885, std=3.246, absmax=13.29 +2025-11-04 13:39:41,652 ERROR: Encountered non-finite generator loss at iter 23947; skipping update. +2025-11-04 13:39:41,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:41,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:41,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:41,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:41,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.26, max=12.36, mean=-0.04552, std=2.671, absmax=15.26 +2025-11-04 13:39:41,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.74, max=12.04, mean=-0.06788, std=2.456, absmax=13.74 +2025-11-04 13:39:42,012 ERROR: Encountered non-finite generator loss at iter 23948; skipping update. +2025-11-04 13:39:42,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,013 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:42,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.2, mean=-0.049, std=2.993, absmax=14.2 +2025-11-04 13:39:42,015 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.98, mean=-0.0937, std=2.805, absmax=11.98 +2025-11-04 13:39:42,371 ERROR: Encountered non-finite generator loss at iter 23949; skipping update. +2025-11-04 13:39:42,372 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,373 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,373 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:42,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=12.04, mean=-0.01982, std=3.395, absmax=14.34 +2025-11-04 13:39:42,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=12.28, mean=-0.05191, std=3.147, absmax=12.28 +2025-11-04 13:39:42,731 ERROR: Encountered non-finite generator loss at iter 23950; skipping update. +2025-11-04 13:39:42,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:42,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:42,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=18.03, mean=0.2205, std=4.077, absmax=18.03 +2025-11-04 13:39:42,735 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=15.96, mean=0.2055, std=3.819, absmax=15.96 +2025-11-04 13:39:43,090 ERROR: Encountered non-finite generator loss at iter 23951; skipping update. +2025-11-04 13:39:43,091 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,092 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,093 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:43,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.86, mean=0.1772, std=3.456, absmax=13.06 +2025-11-04 13:39:43,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=12.14, mean=0.183, std=3.14, absmax=13.23 +2025-11-04 13:39:43,450 ERROR: Encountered non-finite generator loss at iter 23952; skipping update. +2025-11-04 13:39:43,451 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,451 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,452 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:43,452 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=15.09, mean=0.01153, std=3.712, absmax=15.09 +2025-11-04 13:39:43,453 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=14.83, mean=0.05471, std=3.475, absmax=14.83 +2025-11-04 13:39:43,809 ERROR: Encountered non-finite generator loss at iter 23953; skipping update. +2025-11-04 13:39:43,810 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:43,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:43,812 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=15, mean=-0.03342, std=3.759, absmax=15 +2025-11-04 13:39:43,813 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=14.89, mean=-0.002898, std=3.527, absmax=14.89 +2025-11-04 13:39:44,168 ERROR: Encountered non-finite generator loss at iter 23954; skipping update. +2025-11-04 13:39:44,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:44,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.57, mean=-0.2417, std=2.87, absmax=12.57 +2025-11-04 13:39:44,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.88, mean=-0.2829, std=2.74, absmax=11.88 +2025-11-04 13:39:44,528 ERROR: Encountered non-finite generator loss at iter 23955; skipping update. +2025-11-04 13:39:44,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,530 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:44,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.88, max=11.87, mean=-0.1088, std=3.068, absmax=11.88 +2025-11-04 13:39:44,531 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=10.87, mean=-0.06443, std=2.835, absmax=10.87 +2025-11-04 13:39:44,888 ERROR: Encountered non-finite generator loss at iter 23956; skipping update. +2025-11-04 13:39:44,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:44,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:44,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.04, mean=-0.1887, std=3.273, absmax=13.74 +2025-11-04 13:39:44,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=13.67, mean=-0.2167, std=3.024, absmax=13.67 +2025-11-04 13:39:45,248 ERROR: Encountered non-finite generator loss at iter 23957; skipping update. +2025-11-04 13:39:45,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,251 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:45,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.38, mean=-0.107, std=3.118, absmax=13.38 +2025-11-04 13:39:45,252 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.29, max=12.85, mean=-0.1099, std=2.959, absmax=13.29 +2025-11-04 13:39:45,608 ERROR: Encountered non-finite generator loss at iter 23958; skipping update. +2025-11-04 13:39:45,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:45,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.64, max=11.36, mean=-0.1923, std=2.486, absmax=15.64 +2025-11-04 13:39:45,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.24, mean=-0.1872, std=2.293, absmax=11.5 +2025-11-04 13:39:45,968 ERROR: Encountered non-finite generator loss at iter 23959; skipping update. +2025-11-04 13:39:45,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:45,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:45,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=13.31, mean=-0.1292, std=3.392, absmax=13.31 +2025-11-04 13:39:45,971 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=13.02, mean=-0.1396, std=3.088, absmax=13.02 +2025-11-04 13:39:46,329 ERROR: Encountered non-finite generator loss at iter 23960; skipping update. +2025-11-04 13:39:46,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:46,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:46,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:46,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:46,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.25, mean=-0.3883, std=3.049, absmax=13.14 +2025-11-04 13:39:46,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=9.574, mean=-0.3884, std=2.89, absmax=12.3 +2025-11-04 13:39:46,689 ERROR: Encountered non-finite generator loss at iter 23961; skipping update. +2025-11-04 13:39:46,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:46,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:46,692 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:46,693 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:46,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=15.8, mean=-0.09047, std=2.862, absmax=15.8 +2025-11-04 13:39:46,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=14.17, mean=-0.1068, std=2.526, absmax=14.17 +2025-11-04 13:39:47,053 ERROR: Encountered non-finite generator loss at iter 23962; skipping update. +2025-11-04 13:39:47,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:47,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.81, mean=-0.02095, std=3.294, absmax=13.81 +2025-11-04 13:39:47,058 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=13.6, mean=-0.02323, std=3.107, absmax=13.6 +2025-11-04 13:39:47,416 ERROR: Encountered non-finite generator loss at iter 23963; skipping update. +2025-11-04 13:39:47,417 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:47,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=14.41, mean=-0.01507, std=3.262, absmax=14.41 +2025-11-04 13:39:47,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.85, mean=-0.01169, std=2.89, absmax=11.39 +2025-11-04 13:39:47,779 ERROR: Encountered non-finite generator loss at iter 23964; skipping update. +2025-11-04 13:39:47,780 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,781 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:47,782 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:47,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.34, max=13.75, mean=-0.05519, std=3.442, absmax=15.34 +2025-11-04 13:39:47,783 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.59, max=12.9, mean=-0.06085, std=3.204, absmax=14.59 +2025-11-04 13:39:48,142 ERROR: Encountered non-finite generator loss at iter 23965; skipping update. +2025-11-04 13:39:48,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,144 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:48,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=18.1, mean=-0.1279, std=2.864, absmax=18.1 +2025-11-04 13:39:48,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=16.91, mean=-0.09973, std=2.804, absmax=16.91 +2025-11-04 13:39:48,503 ERROR: Encountered non-finite generator loss at iter 23966; skipping update. +2025-11-04 13:39:48,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:48,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.63, mean=-0.1455, std=2.899, absmax=12.63 +2025-11-04 13:39:48,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.08, mean=-0.1527, std=2.759, absmax=12.08 +2025-11-04 13:39:48,864 ERROR: Encountered non-finite generator loss at iter 23967; skipping update. +2025-11-04 13:39:48,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:48,866 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:48,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=12.56, mean=-0.06447, std=2.415, absmax=12.56 +2025-11-04 13:39:48,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.929, max=11.36, mean=-0.05585, std=2.293, absmax=11.36 +2025-11-04 13:39:49,224 ERROR: Encountered non-finite generator loss at iter 23968; skipping update. +2025-11-04 13:39:49,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:49,227 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=16.02, mean=-0.1621, std=3.077, absmax=16.02 +2025-11-04 13:39:49,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=13.29, mean=-0.1086, std=2.833, absmax=13.29 +2025-11-04 13:39:49,584 ERROR: Encountered non-finite generator loss at iter 23969; skipping update. +2025-11-04 13:39:49,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,586 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,586 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:49,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=13.56, mean=-0.1152, std=2.849, absmax=14.31 +2025-11-04 13:39:49,587 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=10.59, mean=-0.08128, std=2.605, absmax=10.59 +2025-11-04 13:39:49,944 ERROR: Encountered non-finite generator loss at iter 23970; skipping update. +2025-11-04 13:39:49,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:49,947 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:49,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.95, mean=-0.06769, std=3.228, absmax=13.95 +2025-11-04 13:39:49,948 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=13.27, mean=-0.07662, std=3.043, absmax=13.27 +2025-11-04 13:39:50,305 ERROR: Encountered non-finite generator loss at iter 23971; skipping update. +2025-11-04 13:39:50,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:50,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:50,307 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:50,307 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:50,308 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.64, max=14.74, mean=-0.1878, std=3.035, absmax=18.64 +2025-11-04 13:39:50,308 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.35, max=13.25, mean=-0.1782, std=2.898, absmax=15.35 +2025-11-04 13:39:50,665 ERROR: Encountered non-finite generator loss at iter 23972; skipping update. +2025-11-04 13:39:50,665 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:50,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:50,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:50,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:50,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=14.74, mean=-0.05225, std=3.572, absmax=14.74 +2025-11-04 13:39:50,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=13.39, mean=-0.06469, std=3.356, absmax=13.39 +2025-11-04 13:39:51,024 ERROR: Encountered non-finite generator loss at iter 23973; skipping update. +2025-11-04 13:39:51,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:51,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.42, mean=-0.1581, std=2.767, absmax=13.35 +2025-11-04 13:39:51,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.16, mean=-0.1606, std=2.561, absmax=12.16 +2025-11-04 13:39:51,384 ERROR: Encountered non-finite generator loss at iter 23974; skipping update. +2025-11-04 13:39:51,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:51,387 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.72, mean=-0.1343, std=2.678, absmax=12.8 +2025-11-04 13:39:51,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=10.55, mean=-0.1359, std=2.409, absmax=10.55 +2025-11-04 13:39:51,744 ERROR: Encountered non-finite generator loss at iter 23975; skipping update. +2025-11-04 13:39:51,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:51,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:51,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=15.73, mean=-0.1055, std=2.906, absmax=15.73 +2025-11-04 13:39:51,747 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=14.31, mean=-0.04238, std=2.839, absmax=14.31 +2025-11-04 13:39:52,104 ERROR: Encountered non-finite generator loss at iter 23976; skipping update. +2025-11-04 13:39:52,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:52,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.35, mean=-0.186, std=2.707, absmax=12.35 +2025-11-04 13:39:52,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=10.39, mean=-0.1905, std=2.507, absmax=11.04 +2025-11-04 13:39:52,463 ERROR: Encountered non-finite generator loss at iter 23977; skipping update. +2025-11-04 13:39:52,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:52,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.64, mean=-0.09629, std=3.33, absmax=13.64 +2025-11-04 13:39:52,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=12.16, mean=-0.07784, std=3.121, absmax=12.16 +2025-11-04 13:39:52,823 ERROR: Encountered non-finite generator loss at iter 23978; skipping update. +2025-11-04 13:39:52,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:52,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:52,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.29, mean=-0.2531, std=3.024, absmax=14.29 +2025-11-04 13:39:52,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.2, mean=-0.2237, std=2.782, absmax=11.56 +2025-11-04 13:39:53,182 ERROR: Encountered non-finite generator loss at iter 23979; skipping update. +2025-11-04 13:39:53,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,184 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:53,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=13.32, mean=-0.194, std=3.288, absmax=13.51 +2025-11-04 13:39:53,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=11.91, mean=-0.1548, std=3.082, absmax=11.91 +2025-11-04 13:39:53,542 ERROR: Encountered non-finite generator loss at iter 23980; skipping update. +2025-11-04 13:39:53,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,544 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:53,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=11.81, mean=-0.2307, std=2.762, absmax=13.81 +2025-11-04 13:39:53,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=9.564, mean=-0.2164, std=2.588, absmax=13.27 +2025-11-04 13:39:53,902 ERROR: Encountered non-finite generator loss at iter 23981; skipping update. +2025-11-04 13:39:53,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:53,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:53,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=10.3, mean=-0.2564, std=2.549, absmax=13.33 +2025-11-04 13:39:53,906 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=9.077, mean=-0.2377, std=2.384, absmax=13.76 +2025-11-04 13:39:54,263 ERROR: Encountered non-finite generator loss at iter 23982; skipping update. +2025-11-04 13:39:54,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:54,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.26, mean=-0.1543, std=2.426, absmax=13.75 +2025-11-04 13:39:54,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=10.81, mean=-0.1598, std=2.368, absmax=10.81 +2025-11-04 13:39:54,623 ERROR: Encountered non-finite generator loss at iter 23983; skipping update. +2025-11-04 13:39:54,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:54,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.9, mean=-0.1203, std=3.057, absmax=13.9 +2025-11-04 13:39:54,627 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=12.9, mean=-0.1632, std=2.825, absmax=12.9 +2025-11-04 13:39:54,984 ERROR: Encountered non-finite generator loss at iter 23984; skipping update. +2025-11-04 13:39:54,985 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:54,986 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:54,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=10.12, mean=-0.2468, std=2.574, absmax=11.94 +2025-11-04 13:39:54,987 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=8.4, mean=-0.2623, std=2.377, absmax=10.58 +2025-11-04 13:39:55,344 ERROR: Encountered non-finite generator loss at iter 23985; skipping update. +2025-11-04 13:39:55,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:55,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:55,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:55,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:55,346 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=10.7, mean=-0.1459, std=2.607, absmax=13.3 +2025-11-04 13:39:55,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.237, mean=-0.1705, std=2.416, absmax=11.27 +2025-11-04 13:39:55,703 ERROR: Encountered non-finite generator loss at iter 23986; skipping update. +2025-11-04 13:39:55,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:55,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:55,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:55,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:55,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.4, mean=-0.1599, std=3.593, absmax=12.4 +2025-11-04 13:39:55,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=11.52, mean=-0.1361, std=3.336, absmax=12.25 +2025-11-04 13:39:56,062 ERROR: Encountered non-finite generator loss at iter 23987; skipping update. +2025-11-04 13:39:56,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,063 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:56,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.9, max=15.04, mean=-0.01729, std=2.984, absmax=15.04 +2025-11-04 13:39:56,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.03, mean=-0.07699, std=2.71, absmax=12.03 +2025-11-04 13:39:56,423 ERROR: Encountered non-finite generator loss at iter 23988; skipping update. +2025-11-04 13:39:56,425 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,425 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:56,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=14.7, mean=-0.04239, std=3.173, absmax=14.7 +2025-11-04 13:39:56,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=14.45, mean=-0.04078, std=3.025, absmax=14.45 +2025-11-04 13:39:56,783 ERROR: Encountered non-finite generator loss at iter 23989; skipping update. +2025-11-04 13:39:56,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,785 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:56,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:56,786 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.94, max=14.09, mean=-0.06296, std=3.336, absmax=15.94 +2025-11-04 13:39:56,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.54, max=12.9, mean=-0.08655, std=3.103, absmax=15.54 +2025-11-04 13:39:57,143 ERROR: Encountered non-finite generator loss at iter 23990; skipping update. +2025-11-04 13:39:57,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,145 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:57,146 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.36, mean=-0.3061, std=2.629, absmax=12.22 +2025-11-04 13:39:57,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=10.7, mean=-0.3252, std=2.444, absmax=12.01 +2025-11-04 13:39:57,503 ERROR: Encountered non-finite generator loss at iter 23991; skipping update. +2025-11-04 13:39:57,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:57,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=10.61, mean=-0.1734, std=2.948, absmax=12.36 +2025-11-04 13:39:57,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=9.578, mean=-0.1611, std=2.764, absmax=11.18 +2025-11-04 13:39:57,863 ERROR: Encountered non-finite generator loss at iter 23992; skipping update. +2025-11-04 13:39:57,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,864 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:57,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:57,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.95, mean=-0.1712, std=2.48, absmax=12.95 +2025-11-04 13:39:57,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.668, max=11.23, mean=-0.1677, std=2.271, absmax=11.23 +2025-11-04 13:39:58,223 ERROR: Encountered non-finite generator loss at iter 23993; skipping update. +2025-11-04 13:39:58,224 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,225 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,225 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:58,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=20.01, mean=-0.2148, std=3.337, absmax=20.01 +2025-11-04 13:39:58,226 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=18.4, mean=-0.2288, std=3.101, absmax=18.4 +2025-11-04 13:39:58,582 ERROR: Encountered non-finite generator loss at iter 23994; skipping update. +2025-11-04 13:39:58,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,584 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,585 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:58,586 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=13.26, mean=-0.09377, std=2.982, absmax=13.34 +2025-11-04 13:39:58,586 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=12.37, mean=-0.1033, std=2.801, absmax=12.37 +2025-11-04 13:39:58,943 ERROR: Encountered non-finite generator loss at iter 23995; skipping update. +2025-11-04 13:39:58,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:58,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:58,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.26, mean=-0.101, std=2.808, absmax=14.26 +2025-11-04 13:39:58,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=13.74, mean=-0.1008, std=2.725, absmax=13.74 +2025-11-04 13:39:59,303 ERROR: Encountered non-finite generator loss at iter 23996; skipping update. +2025-11-04 13:39:59,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:59,304 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:59,305 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:59,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:59,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=12.57, mean=-0.02804, std=2.843, absmax=12.57 +2025-11-04 13:39:59,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=11.06, mean=-0.006631, std=2.663, absmax=11.06 +2025-11-04 13:39:59,663 ERROR: Encountered non-finite generator loss at iter 23997; skipping update. +2025-11-04 13:39:59,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:59,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:39:59,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:39:59,665 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:39:59,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.71, mean=-0.1547, std=2.932, absmax=12 +2025-11-04 13:39:59,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=10.63, mean=-0.1399, std=2.698, absmax=11.12 +2025-11-04 13:40:00,023 ERROR: Encountered non-finite generator loss at iter 23998; skipping update. +2025-11-04 13:40:00,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,025 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,026 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:00,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.1, mean=-0.2119, std=2.629, absmax=12.34 +2025-11-04 13:40:00,027 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=10.52, mean=-0.2071, std=2.413, absmax=11.74 +2025-11-04 13:40:00,383 ERROR: Encountered non-finite generator loss at iter 23999; skipping update. +2025-11-04 13:40:00,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:00,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.33, max=18.15, mean=0.0483, std=3.436, absmax=18.15 +2025-11-04 13:40:00,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=14.98, mean=0.02753, std=3.106, absmax=14.98 +2025-11-04 13:40:00,743 ERROR: Encountered non-finite generator loss at iter 24000; skipping update. +2025-11-04 13:40:00,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:00,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:00,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.34, mean=-0.1165, std=2.89, absmax=12.52 +2025-11-04 13:40:00,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=11.49, mean=-0.0944, std=2.706, absmax=11.69 +2025-11-04 13:40:00,747 INFO: [38..][epoch: 0, step: 24,000, lr:(2.000e-04,)] [eta: 1 day, 4:06:32, time (data): 0.360 (0.000)] +2025-11-04 13:40:01,104 ERROR: Encountered non-finite generator loss at iter 24001; skipping update. +2025-11-04 13:40:01,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,105 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,106 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:01,106 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.59, mean=-0.2684, std=3.382, absmax=14.59 +2025-11-04 13:40:01,107 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=13.67, mean=-0.2627, std=3.168, absmax=13.67 +2025-11-04 13:40:01,463 ERROR: Encountered non-finite generator loss at iter 24002; skipping update. +2025-11-04 13:40:01,464 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,465 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:01,466 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=13.63, mean=-0.09107, std=3.315, absmax=13.63 +2025-11-04 13:40:01,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.13, mean=-0.08734, std=3.021, absmax=12.13 +2025-11-04 13:40:01,823 ERROR: Encountered non-finite generator loss at iter 24003; skipping update. +2025-11-04 13:40:01,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:01,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:01,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.05, mean=-0.1233, std=2.847, absmax=12.17 +2025-11-04 13:40:01,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=11.25, mean=-0.1306, std=2.667, absmax=11.25 +2025-11-04 13:40:02,184 ERROR: Encountered non-finite generator loss at iter 24004; skipping update. +2025-11-04 13:40:02,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,186 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:02,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=14.53, mean=0.1286, std=3.205, absmax=14.53 +2025-11-04 13:40:02,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.5, mean=0.1259, std=2.872, absmax=12.5 +2025-11-04 13:40:02,544 ERROR: Encountered non-finite generator loss at iter 24005; skipping update. +2025-11-04 13:40:02,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:02,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.27, mean=-0.07411, std=3.958, absmax=14.27 +2025-11-04 13:40:02,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=13.64, mean=-0.04616, std=3.7, absmax=13.64 +2025-11-04 13:40:02,906 ERROR: Encountered non-finite generator loss at iter 24006; skipping update. +2025-11-04 13:40:02,907 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,908 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:02,908 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:02,909 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=14.82, mean=0.1504, std=4.484, absmax=14.82 +2025-11-04 13:40:02,910 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=14.67, mean=0.1638, std=4.271, absmax=14.67 +2025-11-04 13:40:03,266 ERROR: Encountered non-finite generator loss at iter 24007; skipping update. +2025-11-04 13:40:03,267 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,268 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,269 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:03,269 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=11.55, mean=0.009498, std=3.206, absmax=11.77 +2025-11-04 13:40:03,270 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=11.89, mean=0.04185, std=2.927, absmax=11.89 +2025-11-04 13:40:03,627 ERROR: Encountered non-finite generator loss at iter 24008; skipping update. +2025-11-04 13:40:03,628 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,628 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,629 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,629 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:03,629 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=11.7, mean=-0.2225, std=2.728, absmax=12.06 +2025-11-04 13:40:03,630 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=10.31, mean=-0.1812, std=2.504, absmax=10.31 +2025-11-04 13:40:03,987 ERROR: Encountered non-finite generator loss at iter 24009; skipping update. +2025-11-04 13:40:03,988 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,988 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,989 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:03,989 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:03,990 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=11, mean=-0.05485, std=2.89, absmax=13.55 +2025-11-04 13:40:03,990 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=10.3, mean=-0.04128, std=2.726, absmax=12.14 +2025-11-04 13:40:04,347 ERROR: Encountered non-finite generator loss at iter 24010; skipping update. +2025-11-04 13:40:04,348 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:04,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:04,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:04,349 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:04,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=11.09, mean=-0.3788, std=3.51, absmax=13.47 +2025-11-04 13:40:04,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=9.213, mean=-0.3521, std=3.176, absmax=12.72 +2025-11-04 13:40:04,707 ERROR: Encountered non-finite generator loss at iter 24011; skipping update. +2025-11-04 13:40:04,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:04,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:04,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:04,709 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:04,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.67, mean=-0.2188, std=2.957, absmax=13.67 +2025-11-04 13:40:04,710 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=9.981, mean=-0.1923, std=2.72, absmax=11.3 +2025-11-04 13:40:05,067 ERROR: Encountered non-finite generator loss at iter 24012; skipping update. +2025-11-04 13:40:05,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:05,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.95, mean=-0.2891, std=2.792, absmax=12.95 +2025-11-04 13:40:05,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.37, mean=-0.2649, std=2.659, absmax=11.37 +2025-11-04 13:40:05,427 ERROR: Encountered non-finite generator loss at iter 24013; skipping update. +2025-11-04 13:40:05,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:05,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=10.69, mean=-0.2523, std=2.427, absmax=11.69 +2025-11-04 13:40:05,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=9.383, mean=-0.2579, std=2.256, absmax=10.8 +2025-11-04 13:40:05,787 ERROR: Encountered non-finite generator loss at iter 24014; skipping update. +2025-11-04 13:40:05,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:05,788 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:05,789 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=16.65, mean=-0.02378, std=3.09, absmax=16.65 +2025-11-04 13:40:05,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=14.29, mean=0.005252, std=2.856, absmax=14.29 +2025-11-04 13:40:06,146 ERROR: Encountered non-finite generator loss at iter 24015; skipping update. +2025-11-04 13:40:06,147 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,148 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:06,149 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.38, max=13.82, mean=0.05091, std=3.201, absmax=15.38 +2025-11-04 13:40:06,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.87, mean=0.02764, std=2.983, absmax=12.87 +2025-11-04 13:40:06,506 ERROR: Encountered non-finite generator loss at iter 24016; skipping update. +2025-11-04 13:40:06,507 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,508 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:06,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=12.3, mean=-0.1431, std=2.696, absmax=12.3 +2025-11-04 13:40:06,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=10.73, mean=-0.1255, std=2.451, absmax=10.73 +2025-11-04 13:40:06,866 ERROR: Encountered non-finite generator loss at iter 24017; skipping update. +2025-11-04 13:40:06,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,867 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:06,868 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:06,868 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=11.4, mean=-0.2064, std=2.923, absmax=12.35 +2025-11-04 13:40:06,869 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=9.87, mean=-0.1982, std=2.694, absmax=12.48 +2025-11-04 13:40:07,226 ERROR: Encountered non-finite generator loss at iter 24018; skipping update. +2025-11-04 13:40:07,227 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,227 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,228 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,228 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:07,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=12.1, mean=-0.09584, std=2.653, absmax=12.1 +2025-11-04 13:40:07,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.845, max=10.32, mean=-0.0865, std=2.396, absmax=10.32 +2025-11-04 13:40:07,586 ERROR: Encountered non-finite generator loss at iter 24019; skipping update. +2025-11-04 13:40:07,588 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:07,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=13.91, mean=-0.117, std=2.731, absmax=13.91 +2025-11-04 13:40:07,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=11.73, mean=-0.1417, std=2.479, absmax=11.73 +2025-11-04 13:40:07,946 ERROR: Encountered non-finite generator loss at iter 24020; skipping update. +2025-11-04 13:40:07,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:07,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:07,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=12.78, mean=-0.1281, std=3.218, absmax=14.81 +2025-11-04 13:40:07,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=11.07, mean=-0.09884, std=2.947, absmax=12.79 +2025-11-04 13:40:08,306 ERROR: Encountered non-finite generator loss at iter 24021; skipping update. +2025-11-04 13:40:08,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:08,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:08,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:08,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:08,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=12.09, mean=-0.1372, std=2.902, absmax=13.99 +2025-11-04 13:40:08,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=10.9, mean=-0.1266, std=2.677, absmax=11.57 +2025-11-04 13:40:08,666 ERROR: Encountered non-finite generator loss at iter 24022; skipping update. +2025-11-04 13:40:08,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:08,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:08,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:08,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:08,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.63, mean=-0.1976, std=3.106, absmax=13.63 +2025-11-04 13:40:08,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.45, mean=-0.1688, std=2.898, absmax=11.45 +2025-11-04 13:40:09,025 ERROR: Encountered non-finite generator loss at iter 24023; skipping update. +2025-11-04 13:40:09,026 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,027 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:09,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=12.59, mean=-0.1258, std=3.09, absmax=12.59 +2025-11-04 13:40:09,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.86, mean=-0.1287, std=2.755, absmax=11.91 +2025-11-04 13:40:09,386 ERROR: Encountered non-finite generator loss at iter 24024; skipping update. +2025-11-04 13:40:09,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:09,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=10.6, mean=-0.2288, std=2.906, absmax=12.81 +2025-11-04 13:40:09,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=10.62, mean=-0.2483, std=2.831, absmax=11.9 +2025-11-04 13:40:09,745 ERROR: Encountered non-finite generator loss at iter 24025; skipping update. +2025-11-04 13:40:09,746 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:09,747 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:09,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.65, mean=-0.2198, std=2.933, absmax=13.31 +2025-11-04 13:40:09,748 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.43, mean=-0.2021, std=2.646, absmax=11.18 +2025-11-04 13:40:10,105 ERROR: Encountered non-finite generator loss at iter 24026; skipping update. +2025-11-04 13:40:10,106 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,107 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,107 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:10,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.78, max=11.66, mean=-0.2466, std=2.554, absmax=14.78 +2025-11-04 13:40:10,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=11.21, mean=-0.2081, std=2.464, absmax=11.46 +2025-11-04 13:40:10,465 ERROR: Encountered non-finite generator loss at iter 24027; skipping update. +2025-11-04 13:40:10,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:10,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=11.6, mean=-0.309, std=3.106, absmax=13.47 +2025-11-04 13:40:10,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.99, mean=-0.2762, std=2.892, absmax=12.56 +2025-11-04 13:40:10,825 ERROR: Encountered non-finite generator loss at iter 24028; skipping update. +2025-11-04 13:40:10,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:10,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:10,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.47, mean=-0.01641, std=2.982, absmax=13.47 +2025-11-04 13:40:10,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.38, max=11.66, mean=-0.04494, std=2.786, absmax=13.38 +2025-11-04 13:40:11,185 ERROR: Encountered non-finite generator loss at iter 24029; skipping update. +2025-11-04 13:40:11,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:11,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=11.34, mean=-0.1451, std=2.647, absmax=14.81 +2025-11-04 13:40:11,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=10.73, mean=-0.09731, std=2.444, absmax=10.73 +2025-11-04 13:40:11,545 ERROR: Encountered non-finite generator loss at iter 24030; skipping update. +2025-11-04 13:40:11,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:11,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.26, mean=-0.09864, std=2.868, absmax=12.26 +2025-11-04 13:40:11,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.99, max=11.58, mean=-0.06904, std=2.663, absmax=11.58 +2025-11-04 13:40:11,904 ERROR: Encountered non-finite generator loss at iter 24031; skipping update. +2025-11-04 13:40:11,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:11,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:11,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=14.88, mean=-0.1, std=3.148, absmax=14.88 +2025-11-04 13:40:11,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.93, mean=-0.07571, std=2.911, absmax=12.93 +2025-11-04 13:40:12,264 ERROR: Encountered non-finite generator loss at iter 24032; skipping update. +2025-11-04 13:40:12,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,266 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:12,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.95, mean=-0.07933, std=3.073, absmax=12.95 +2025-11-04 13:40:12,267 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=11.61, mean=-0.06105, std=2.842, absmax=11.61 +2025-11-04 13:40:12,623 ERROR: Encountered non-finite generator loss at iter 24033; skipping update. +2025-11-04 13:40:12,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:12,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=10.87, mean=-0.2024, std=2.56, absmax=13 +2025-11-04 13:40:12,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=8.943, mean=-0.1596, std=2.35, absmax=10.55 +2025-11-04 13:40:12,983 ERROR: Encountered non-finite generator loss at iter 24034; skipping update. +2025-11-04 13:40:12,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,985 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:12,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:12,986 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=20.76, mean=-0.1836, std=2.495, absmax=20.76 +2025-11-04 13:40:12,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=19.23, mean=-0.1573, std=2.306, absmax=19.23 +2025-11-04 13:40:13,343 ERROR: Encountered non-finite generator loss at iter 24035; skipping update. +2025-11-04 13:40:13,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:13,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:13,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:13,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:13,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=17.03, mean=-0.1199, std=2.687, absmax=17.03 +2025-11-04 13:40:13,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.43, max=15.04, mean=-0.06118, std=2.583, absmax=15.04 +2025-11-04 13:40:13,702 ERROR: Encountered non-finite generator loss at iter 24036; skipping update. +2025-11-04 13:40:13,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:13,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:13,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:13,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:13,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=11.3, mean=-0.3163, std=2.392, absmax=12.19 +2025-11-04 13:40:13,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=9.474, mean=-0.2986, std=2.29, absmax=11.45 +2025-11-04 13:40:14,062 ERROR: Encountered non-finite generator loss at iter 24037; skipping update. +2025-11-04 13:40:14,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:14,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.72, mean=-0.07831, std=2.601, absmax=12.72 +2025-11-04 13:40:14,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.969, max=11.13, mean=-0.08899, std=2.342, absmax=11.13 +2025-11-04 13:40:14,421 ERROR: Encountered non-finite generator loss at iter 24038; skipping update. +2025-11-04 13:40:14,422 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,423 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:14,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=13.9, mean=-0.2057, std=2.968, absmax=13.9 +2025-11-04 13:40:14,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=11.23, mean=-0.1688, std=2.697, absmax=11.23 +2025-11-04 13:40:14,781 ERROR: Encountered non-finite generator loss at iter 24039; skipping update. +2025-11-04 13:40:14,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:14,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:14,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=11.67, mean=-0.1044, std=2.791, absmax=11.67 +2025-11-04 13:40:14,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.58, mean=-0.1119, std=2.487, absmax=10.71 +2025-11-04 13:40:15,141 ERROR: Encountered non-finite generator loss at iter 24040; skipping update. +2025-11-04 13:40:15,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:15,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.44, mean=-0.2237, std=2.752, absmax=12.44 +2025-11-04 13:40:15,144 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=12.25, mean=-0.1945, std=2.56, absmax=12.25 +2025-11-04 13:40:15,500 ERROR: Encountered non-finite generator loss at iter 24041; skipping update. +2025-11-04 13:40:15,501 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,502 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:15,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=12.98, mean=-0.164, std=3.07, absmax=12.98 +2025-11-04 13:40:15,504 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.59, mean=-0.1131, std=2.976, absmax=11.66 +2025-11-04 13:40:15,860 ERROR: Encountered non-finite generator loss at iter 24042; skipping update. +2025-11-04 13:40:15,861 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,861 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:15,862 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:15,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=15.13, mean=0.1051, std=4.052, absmax=15.13 +2025-11-04 13:40:15,863 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=14.21, mean=0.09757, std=3.796, absmax=14.21 +2025-11-04 13:40:16,219 ERROR: Encountered non-finite generator loss at iter 24043; skipping update. +2025-11-04 13:40:16,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,221 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:16,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=15.75, mean=-0.004279, std=3.729, absmax=15.75 +2025-11-04 13:40:16,222 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=12.38, mean=-0.006552, std=3.499, absmax=12.38 +2025-11-04 13:40:16,579 ERROR: Encountered non-finite generator loss at iter 24044; skipping update. +2025-11-04 13:40:16,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,581 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:16,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=16.01, mean=-0.2671, std=2.584, absmax=16.01 +2025-11-04 13:40:16,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=12.86, mean=-0.2275, std=2.394, absmax=12.86 +2025-11-04 13:40:16,939 ERROR: Encountered non-finite generator loss at iter 24045; skipping update. +2025-11-04 13:40:16,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:16,942 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:16,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=13.3, mean=-0.04764, std=2.987, absmax=13.3 +2025-11-04 13:40:16,943 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.763, max=12, mean=-0.02185, std=2.754, absmax=12 +2025-11-04 13:40:17,300 ERROR: Encountered non-finite generator loss at iter 24046; skipping update. +2025-11-04 13:40:17,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:17,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:17,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:17,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:17,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.75, mean=-0.06728, std=3.581, absmax=14.75 +2025-11-04 13:40:17,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=13.77, mean=-0.01715, std=3.3, absmax=13.77 +2025-11-04 13:40:17,661 ERROR: Encountered non-finite generator loss at iter 24047; skipping update. +2025-11-04 13:40:17,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:17,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:17,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:17,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:17,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.11, mean=-0.2548, std=3.204, absmax=13.01 +2025-11-04 13:40:17,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=9.443, mean=-0.2125, std=2.954, absmax=12.04 +2025-11-04 13:40:18,021 ERROR: Encountered non-finite generator loss at iter 24048; skipping update. +2025-11-04 13:40:18,022 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,023 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:18,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=13.37, mean=-0.1057, std=2.934, absmax=13.37 +2025-11-04 13:40:18,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.89, mean=-0.1011, std=2.699, absmax=10.89 +2025-11-04 13:40:18,382 ERROR: Encountered non-finite generator loss at iter 24049; skipping update. +2025-11-04 13:40:18,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:18,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.87, mean=-0.2004, std=2.737, absmax=11.97 +2025-11-04 13:40:18,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=11.58, mean=-0.1568, std=2.622, absmax=11.58 +2025-11-04 13:40:18,743 ERROR: Encountered non-finite generator loss at iter 24050; skipping update. +2025-11-04 13:40:18,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,745 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,745 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:18,745 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:18,746 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=14.06, mean=-0.164, std=3.095, absmax=14.06 +2025-11-04 13:40:18,746 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=11.06, mean=-0.1468, std=2.833, absmax=11.76 +2025-11-04 13:40:19,104 ERROR: Encountered non-finite generator loss at iter 24051; skipping update. +2025-11-04 13:40:19,105 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,106 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,107 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:19,107 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=10.56, mean=-0.282, std=2.78, absmax=12.72 +2025-11-04 13:40:19,108 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=8.95, mean=-0.2707, std=2.609, absmax=10.49 +2025-11-04 13:40:19,465 ERROR: Encountered non-finite generator loss at iter 24052; skipping update. +2025-11-04 13:40:19,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:19,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.14, mean=-0.181, std=3.119, absmax=14.14 +2025-11-04 13:40:19,468 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.13, mean=-0.1684, std=2.866, absmax=12.13 +2025-11-04 13:40:19,825 ERROR: Encountered non-finite generator loss at iter 24053; skipping update. +2025-11-04 13:40:19,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:19,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:19,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.76, mean=-0.242, std=3.019, absmax=13.76 +2025-11-04 13:40:19,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=12.98, mean=-0.2352, std=2.772, absmax=12.98 +2025-11-04 13:40:20,185 ERROR: Encountered non-finite generator loss at iter 24054; skipping update. +2025-11-04 13:40:20,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:20,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=11.81, mean=-0.1879, std=2.445, absmax=11.81 +2025-11-04 13:40:20,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.798, max=10.67, mean=-0.1819, std=2.29, absmax=10.67 +2025-11-04 13:40:20,545 ERROR: Encountered non-finite generator loss at iter 24055; skipping update. +2025-11-04 13:40:20,546 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,547 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:20,548 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.65, mean=-0.264, std=2.861, absmax=13.65 +2025-11-04 13:40:20,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=13.28, mean=-0.238, std=2.651, absmax=13.28 +2025-11-04 13:40:20,905 ERROR: Encountered non-finite generator loss at iter 24056; skipping update. +2025-11-04 13:40:20,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:20,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:20,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=15.86, mean=0.07925, std=3.528, absmax=15.86 +2025-11-04 13:40:20,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=15.29, mean=0.1016, std=3.284, absmax=15.29 +2025-11-04 13:40:21,265 ERROR: Encountered non-finite generator loss at iter 24057; skipping update. +2025-11-04 13:40:21,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:21,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=12.54, mean=-0.145, std=3.209, absmax=13.26 +2025-11-04 13:40:21,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=11.1, mean=-0.1382, std=2.965, absmax=11.1 +2025-11-04 13:40:21,625 ERROR: Encountered non-finite generator loss at iter 24058; skipping update. +2025-11-04 13:40:21,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:21,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.18, mean=-0.1634, std=2.807, absmax=12.54 +2025-11-04 13:40:21,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.16, mean=-0.1946, std=2.605, absmax=10.83 +2025-11-04 13:40:21,985 ERROR: Encountered non-finite generator loss at iter 24059; skipping update. +2025-11-04 13:40:21,985 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,986 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:21,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:21,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.76, mean=-0.1429, std=3.43, absmax=14.76 +2025-11-04 13:40:21,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=13.69, mean=-0.1266, std=3.356, absmax=13.69 +2025-11-04 13:40:22,345 ERROR: Encountered non-finite generator loss at iter 24060; skipping update. +2025-11-04 13:40:22,346 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:22,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:22,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:22,346 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:22,347 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=13.29, mean=-0.08237, std=3.113, absmax=14 +2025-11-04 13:40:22,347 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=12.65, mean=-0.1238, std=2.843, absmax=12.77 +2025-11-04 13:40:22,704 ERROR: Encountered non-finite generator loss at iter 24061; skipping update. +2025-11-04 13:40:22,705 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:22,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:22,706 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:22,706 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:22,707 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.84, max=11.76, mean=-0.1649, std=2.513, absmax=11.76 +2025-11-04 13:40:22,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=10.97, mean=-0.1085, std=2.434, absmax=11.25 +2025-11-04 13:40:23,063 ERROR: Encountered non-finite generator loss at iter 24062; skipping update. +2025-11-04 13:40:23,064 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,065 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:23,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=12.73, mean=-0.2551, std=3.082, absmax=12.81 +2025-11-04 13:40:23,066 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=11.17, mean=-0.2559, std=2.885, absmax=11.7 +2025-11-04 13:40:23,422 ERROR: Encountered non-finite generator loss at iter 24063; skipping update. +2025-11-04 13:40:23,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,425 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:23,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=12.08, mean=-0.2946, std=2.885, absmax=13.24 +2025-11-04 13:40:23,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=10.14, mean=-0.2587, std=2.613, absmax=11.71 +2025-11-04 13:40:23,781 ERROR: Encountered non-finite generator loss at iter 24064; skipping update. +2025-11-04 13:40:23,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:23,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:23,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=11, mean=-0.3677, std=2.797, absmax=14.94 +2025-11-04 13:40:23,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=10.6, mean=-0.3829, std=2.661, absmax=13.46 +2025-11-04 13:40:24,141 ERROR: Encountered non-finite generator loss at iter 24065; skipping update. +2025-11-04 13:40:24,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:24,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=11.59, mean=-0.2569, std=3.476, absmax=13.87 +2025-11-04 13:40:24,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.05, max=10.97, mean=-0.2408, std=3.234, absmax=14.05 +2025-11-04 13:40:24,502 ERROR: Encountered non-finite generator loss at iter 24066; skipping update. +2025-11-04 13:40:24,503 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,504 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,504 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:24,505 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.65, max=11.31, mean=-0.1849, std=2.754, absmax=11.31 +2025-11-04 13:40:24,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=10.68, mean=-0.2493, std=2.698, absmax=10.68 +2025-11-04 13:40:24,862 ERROR: Encountered non-finite generator loss at iter 24067; skipping update. +2025-11-04 13:40:24,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:24,864 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:24,865 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.31, max=11.86, mean=-0.06853, std=3.432, absmax=15.31 +2025-11-04 13:40:24,865 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=11.2, mean=-0.05236, std=3.159, absmax=12.47 +2025-11-04 13:40:25,222 ERROR: Encountered non-finite generator loss at iter 24068; skipping update. +2025-11-04 13:40:25,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,223 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:25,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.14, mean=-0.1839, std=2.519, absmax=12.14 +2025-11-04 13:40:25,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=11.07, mean=-0.162, std=2.246, absmax=11.07 +2025-11-04 13:40:25,581 ERROR: Encountered non-finite generator loss at iter 24069; skipping update. +2025-11-04 13:40:25,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:25,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=11.17, mean=-0.03881, std=3.406, absmax=11.7 +2025-11-04 13:40:25,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=10.33, mean=-0.002925, std=3.182, absmax=11.11 +2025-11-04 13:40:25,942 ERROR: Encountered non-finite generator loss at iter 24070; skipping update. +2025-11-04 13:40:25,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,944 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:25,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:25,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.15, mean=-0.04721, std=3.289, absmax=13.81 +2025-11-04 13:40:25,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=11, mean=-0.04288, std=3.139, absmax=12.91 +2025-11-04 13:40:26,302 ERROR: Encountered non-finite generator loss at iter 24071; skipping update. +2025-11-04 13:40:26,303 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:26,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:26,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:26,304 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:26,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.06, mean=-0.2649, std=2.472, absmax=13.06 +2025-11-04 13:40:26,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=9.869, mean=-0.2569, std=2.235, absmax=10.12 +2025-11-04 13:40:26,662 ERROR: Encountered non-finite generator loss at iter 24072; skipping update. +2025-11-04 13:40:26,663 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:26,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:26,664 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:26,664 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:26,665 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.2, max=13.28, mean=-0.2233, std=2.536, absmax=13.28 +2025-11-04 13:40:26,665 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.649, max=15.11, mean=-0.2013, std=2.497, absmax=15.11 +2025-11-04 13:40:27,022 ERROR: Encountered non-finite generator loss at iter 24073; skipping update. +2025-11-04 13:40:27,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,024 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:27,025 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.42, mean=-0.2209, std=2.727, absmax=13.42 +2025-11-04 13:40:27,025 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=11.02, mean=-0.2045, std=2.514, absmax=12.58 +2025-11-04 13:40:27,382 ERROR: Encountered non-finite generator loss at iter 24074; skipping update. +2025-11-04 13:40:27,383 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,384 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,384 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:27,385 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=10.54, mean=-0.2554, std=2.564, absmax=11.29 +2025-11-04 13:40:27,385 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=9.795, mean=-0.2566, std=2.437, absmax=10.08 +2025-11-04 13:40:27,742 ERROR: Encountered non-finite generator loss at iter 24075; skipping update. +2025-11-04 13:40:27,743 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,744 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,744 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:27,744 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:27,745 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.06, mean=-0.2506, std=2.846, absmax=13.06 +2025-11-04 13:40:27,745 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=10.87, mean=-0.2055, std=2.694, absmax=12.11 +2025-11-04 13:40:28,102 ERROR: Encountered non-finite generator loss at iter 24076; skipping update. +2025-11-04 13:40:28,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,105 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:28,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=15.22, mean=-0.1591, std=3.078, absmax=15.22 +2025-11-04 13:40:28,106 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.17, mean=-0.1417, std=2.737, absmax=12.17 +2025-11-04 13:40:28,462 ERROR: Encountered non-finite generator loss at iter 24077; skipping update. +2025-11-04 13:40:28,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:28,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.89, mean=-0.1523, std=3.057, absmax=12.89 +2025-11-04 13:40:28,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=9.934, mean=-0.14, std=2.671, absmax=10.26 +2025-11-04 13:40:28,821 ERROR: Encountered non-finite generator loss at iter 24078; skipping update. +2025-11-04 13:40:28,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:28,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:28,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=13.6, mean=-0.1999, std=2.738, absmax=13.6 +2025-11-04 13:40:28,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.23, mean=-0.1726, std=2.464, absmax=11.23 +2025-11-04 13:40:29,181 ERROR: Encountered non-finite generator loss at iter 24079; skipping update. +2025-11-04 13:40:29,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:29,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=14.54, mean=-0.2431, std=3.174, absmax=14.54 +2025-11-04 13:40:29,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.49, mean=-0.2463, std=2.942, absmax=12.95 +2025-11-04 13:40:29,541 ERROR: Encountered non-finite generator loss at iter 24080; skipping update. +2025-11-04 13:40:29,541 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,542 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,543 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:29,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=14.27, mean=-0.2058, std=2.972, absmax=14.27 +2025-11-04 13:40:29,544 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=11.11, mean=-0.2415, std=2.806, absmax=11.6 +2025-11-04 13:40:29,901 ERROR: Encountered non-finite generator loss at iter 24081; skipping update. +2025-11-04 13:40:29,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,902 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:29,903 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:29,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.92, mean=-0.03426, std=3.432, absmax=14.92 +2025-11-04 13:40:29,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=11.39, mean=-0.05097, std=3.103, absmax=12.49 +2025-11-04 13:40:30,261 ERROR: Encountered non-finite generator loss at iter 24082; skipping update. +2025-11-04 13:40:30,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,263 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:30,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.22, max=16.53, mean=-0.2045, std=3.04, absmax=16.53 +2025-11-04 13:40:30,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.77, max=13.96, mean=-0.2443, std=2.785, absmax=14.77 +2025-11-04 13:40:30,621 ERROR: Encountered non-finite generator loss at iter 24083; skipping update. +2025-11-04 13:40:30,622 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:30,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.65, mean=-0.08092, std=3.192, absmax=13.82 +2025-11-04 13:40:30,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=12.04, mean=-0.06971, std=2.975, absmax=12.62 +2025-11-04 13:40:30,981 ERROR: Encountered non-finite generator loss at iter 24084; skipping update. +2025-11-04 13:40:30,982 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,983 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:30,983 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:30,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=11.81, mean=-0.1813, std=2.797, absmax=11.98 +2025-11-04 13:40:30,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=10.7, mean=-0.1245, std=2.69, absmax=11.63 +2025-11-04 13:40:31,341 ERROR: Encountered non-finite generator loss at iter 24085; skipping update. +2025-11-04 13:40:31,342 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:31,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:31,343 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:31,343 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:31,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.23, mean=-0.02496, std=3.236, absmax=13.23 +2025-11-04 13:40:31,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.38, mean=-0.05171, std=3.039, absmax=11.38 +2025-11-04 13:40:31,701 ERROR: Encountered non-finite generator loss at iter 24086; skipping update. +2025-11-04 13:40:31,702 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:31,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:31,703 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:31,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:31,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=16.93, mean=0.165, std=3.692, absmax=16.93 +2025-11-04 13:40:31,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=15.65, mean=0.1351, std=3.447, absmax=15.65 +2025-11-04 13:40:32,062 ERROR: Encountered non-finite generator loss at iter 24087; skipping update. +2025-11-04 13:40:32,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:32,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-20.75, max=15.95, mean=-0.3029, std=3.034, absmax=20.75 +2025-11-04 13:40:32,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-17.26, max=15, mean=-0.2558, std=2.813, absmax=17.26 +2025-11-04 13:40:32,423 ERROR: Encountered non-finite generator loss at iter 24088; skipping update. +2025-11-04 13:40:32,424 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,424 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:32,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.97, max=12.11, mean=-0.3529, std=3.038, absmax=14.97 +2025-11-04 13:40:32,426 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=9.729, mean=-0.3538, std=2.809, absmax=11.75 +2025-11-04 13:40:32,782 ERROR: Encountered non-finite generator loss at iter 24089; skipping update. +2025-11-04 13:40:32,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:32,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:32,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.47, mean=-0.2319, std=2.606, absmax=12.9 +2025-11-04 13:40:32,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=11.29, mean=-0.1866, std=2.481, absmax=11.29 +2025-11-04 13:40:33,142 ERROR: Encountered non-finite generator loss at iter 24090; skipping update. +2025-11-04 13:40:33,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:33,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=12.04, mean=-0.1127, std=2.61, absmax=12.04 +2025-11-04 13:40:33,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.57, mean=-0.1311, std=2.363, absmax=11.57 +2025-11-04 13:40:33,502 ERROR: Encountered non-finite generator loss at iter 24091; skipping update. +2025-11-04 13:40:33,502 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,503 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,504 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:33,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=11.43, mean=-0.1803, std=3.029, absmax=13.19 +2025-11-04 13:40:33,505 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=10.57, mean=-0.1411, std=2.801, absmax=13.08 +2025-11-04 13:40:33,861 ERROR: Encountered non-finite generator loss at iter 24092; skipping update. +2025-11-04 13:40:33,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,863 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:33,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:33,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=14.5, mean=-0.06928, std=3.609, absmax=14.5 +2025-11-04 13:40:33,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=13.36, mean=-0.06985, std=3.361, absmax=13.36 +2025-11-04 13:40:34,220 ERROR: Encountered non-finite generator loss at iter 24093; skipping update. +2025-11-04 13:40:34,221 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,222 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:34,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=18.52, mean=-0.2041, std=3.185, absmax=18.52 +2025-11-04 13:40:34,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=16.81, mean=-0.1817, std=2.859, absmax=16.81 +2025-11-04 13:40:34,581 ERROR: Encountered non-finite generator loss at iter 24094; skipping update. +2025-11-04 13:40:34,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:34,583 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=19.46, mean=-0.2913, std=3.37, absmax=19.46 +2025-11-04 13:40:34,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=19.46, mean=-0.2705, std=3.109, absmax=19.46 +2025-11-04 13:40:34,940 ERROR: Encountered non-finite generator loss at iter 24095; skipping update. +2025-11-04 13:40:34,941 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,942 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:34,943 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:34,943 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=11.09, mean=-0.1515, std=3.2, absmax=13.44 +2025-11-04 13:40:34,944 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=10.58, mean=-0.1698, std=3.035, absmax=12.82 +2025-11-04 13:40:35,300 ERROR: Encountered non-finite generator loss at iter 24096; skipping update. +2025-11-04 13:40:35,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:35,302 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:35,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:35,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:35,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=13.3, mean=-0.08359, std=3.238, absmax=14.31 +2025-11-04 13:40:35,304 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=11.37, mean=-0.04615, std=3.023, absmax=11.63 +2025-11-04 13:40:35,661 ERROR: Encountered non-finite generator loss at iter 24097; skipping update. +2025-11-04 13:40:35,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:35,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:35,662 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:35,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:35,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=11.3, mean=-0.1478, std=2.946, absmax=11.41 +2025-11-04 13:40:35,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=11.74, mean=-0.1256, std=2.838, absmax=11.74 +2025-11-04 13:40:36,020 ERROR: Encountered non-finite generator loss at iter 24098; skipping update. +2025-11-04 13:40:36,021 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,022 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,023 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:36,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.33, mean=-0.1305, std=3.25, absmax=13.57 +2025-11-04 13:40:36,024 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.8, mean=-0.1529, std=3.075, absmax=12.75 +2025-11-04 13:40:36,380 ERROR: Encountered non-finite generator loss at iter 24099; skipping update. +2025-11-04 13:40:36,381 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,382 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,382 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:36,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=16.03, mean=-0.1297, std=2.862, absmax=16.03 +2025-11-04 13:40:36,383 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.983, max=12.09, mean=-0.1037, std=2.622, absmax=12.09 +2025-11-04 13:40:36,740 ERROR: Encountered non-finite generator loss at iter 24100; skipping update. +2025-11-04 13:40:36,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:36,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:36,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=12.48, mean=-0.06387, std=3.03, absmax=12.62 +2025-11-04 13:40:36,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12, mean=-0.05814, std=2.747, absmax=12 +2025-11-04 13:40:36,743 INFO: [38..][epoch: 0, step: 24,100, lr:(2.000e-04,)] [eta: 1 day, 4:00:23, time (data): 0.360 (0.000)] +2025-11-04 13:40:37,099 ERROR: Encountered non-finite generator loss at iter 24101; skipping update. +2025-11-04 13:40:37,100 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,101 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:37,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=12.68, mean=-0.1455, std=2.716, absmax=13.02 +2025-11-04 13:40:37,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=11.45, mean=-0.09533, std=2.511, absmax=11.45 +2025-11-04 13:40:37,459 ERROR: Encountered non-finite generator loss at iter 24102; skipping update. +2025-11-04 13:40:37,460 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,461 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,461 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:37,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.06, mean=-0.2624, std=2.756, absmax=12.8 +2025-11-04 13:40:37,462 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=10.09, mean=-0.2406, std=2.589, absmax=11.37 +2025-11-04 13:40:37,819 ERROR: Encountered non-finite generator loss at iter 24103; skipping update. +2025-11-04 13:40:37,820 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,821 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:37,821 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:37,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=15.62, mean=-0.2015, std=3.042, absmax=15.62 +2025-11-04 13:40:37,823 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.34, mean=-0.1803, std=2.742, absmax=12.34 +2025-11-04 13:40:38,179 ERROR: Encountered non-finite generator loss at iter 24104; skipping update. +2025-11-04 13:40:38,180 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,181 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,181 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,181 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:38,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.45, mean=-0.2072, std=2.953, absmax=12.54 +2025-11-04 13:40:38,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=12.42, mean=-0.1793, std=2.676, absmax=12.42 +2025-11-04 13:40:38,539 ERROR: Encountered non-finite generator loss at iter 24105; skipping update. +2025-11-04 13:40:38,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,540 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:38,541 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.13, mean=-0.0158, std=3.107, absmax=12.13 +2025-11-04 13:40:38,542 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=12.26, mean=0.0003297, std=2.998, absmax=12.26 +2025-11-04 13:40:38,899 ERROR: Encountered non-finite generator loss at iter 24106; skipping update. +2025-11-04 13:40:38,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,901 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:38,901 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:38,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=11.2, mean=-0.3303, std=3.008, absmax=12.83 +2025-11-04 13:40:38,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=10.44, mean=-0.2903, std=2.713, absmax=11.84 +2025-11-04 13:40:39,259 ERROR: Encountered non-finite generator loss at iter 24107; skipping update. +2025-11-04 13:40:39,260 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,261 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,261 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,261 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:39,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=8.892, mean=-0.3821, std=2.538, absmax=12.69 +2025-11-04 13:40:39,263 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=8.984, mean=-0.3697, std=2.515, absmax=10.92 +2025-11-04 13:40:39,620 ERROR: Encountered non-finite generator loss at iter 24108; skipping update. +2025-11-04 13:40:39,620 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,621 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,621 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:39,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=10.75, mean=-0.2578, std=2.791, absmax=13.32 +2025-11-04 13:40:39,623 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=8.869, mean=-0.2188, std=2.577, absmax=10.93 +2025-11-04 13:40:39,979 ERROR: Encountered non-finite generator loss at iter 24109; skipping update. +2025-11-04 13:40:39,980 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,981 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:39,981 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:39,982 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.86, mean=-0.2986, std=3.086, absmax=12.95 +2025-11-04 13:40:39,982 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=12.07, mean=-0.2513, std=2.899, absmax=12.71 +2025-11-04 13:40:40,339 ERROR: Encountered non-finite generator loss at iter 24110; skipping update. +2025-11-04 13:40:40,340 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:40,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:40,341 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:40,341 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:40,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.91, mean=-0.06488, std=3.424, absmax=14.91 +2025-11-04 13:40:40,343 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=13.22, mean=-0.04499, std=3.182, absmax=13.22 +2025-11-04 13:40:40,700 ERROR: Encountered non-finite generator loss at iter 24111; skipping update. +2025-11-04 13:40:40,701 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:40,702 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:40,702 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:40,702 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:40,703 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=10.62, mean=-0.09632, std=2.707, absmax=12.51 +2025-11-04 13:40:40,703 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=11.74, mean=-0.1253, std=2.676, absmax=13.46 +2025-11-04 13:40:41,061 ERROR: Encountered non-finite generator loss at iter 24112; skipping update. +2025-11-04 13:40:41,061 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,062 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,063 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:41,063 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=13.78, mean=0.05572, std=3.613, absmax=14.55 +2025-11-04 13:40:41,064 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=12.69, mean=0.05613, std=3.384, absmax=13.6 +2025-11-04 13:40:41,421 ERROR: Encountered non-finite generator loss at iter 24113; skipping update. +2025-11-04 13:40:41,422 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,422 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,423 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,423 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:41,423 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.09, mean=-0.1515, std=2.842, absmax=12.82 +2025-11-04 13:40:41,424 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=11.39, mean=-0.1675, std=2.66, absmax=11.69 +2025-11-04 13:40:41,780 ERROR: Encountered non-finite generator loss at iter 24114; skipping update. +2025-11-04 13:40:41,781 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,782 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:41,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:41,783 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12, mean=-0.3247, std=3.173, absmax=13.76 +2025-11-04 13:40:41,784 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=10.99, mean=-0.3105, std=3.001, absmax=12.11 +2025-11-04 13:40:42,140 ERROR: Encountered non-finite generator loss at iter 24115; skipping update. +2025-11-04 13:40:42,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,142 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:42,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=14.14, mean=-0.1595, std=3.951, absmax=14.5 +2025-11-04 13:40:42,143 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=13.27, mean=-0.1164, std=3.698, absmax=13.66 +2025-11-04 13:40:42,500 ERROR: Encountered non-finite generator loss at iter 24116; skipping update. +2025-11-04 13:40:42,501 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,501 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,502 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,502 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:42,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=14.64, mean=-0.09128, std=3.954, absmax=14.64 +2025-11-04 13:40:42,503 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=14.16, mean=-0.07928, std=3.704, absmax=14.16 +2025-11-04 13:40:42,860 ERROR: Encountered non-finite generator loss at iter 24117; skipping update. +2025-11-04 13:40:42,860 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,861 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:42,862 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:42,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=11.94, mean=-0.2212, std=3.129, absmax=13.7 +2025-11-04 13:40:42,863 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.5, max=9.984, mean=-0.2344, std=2.871, absmax=12.5 +2025-11-04 13:40:43,220 ERROR: Encountered non-finite generator loss at iter 24118; skipping update. +2025-11-04 13:40:43,221 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,222 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:43,222 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=11.42, mean=-0.2352, std=2.559, absmax=12.04 +2025-11-04 13:40:43,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=10.09, mean=-0.2038, std=2.375, absmax=10.93 +2025-11-04 13:40:43,579 ERROR: Encountered non-finite generator loss at iter 24119; skipping update. +2025-11-04 13:40:43,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,581 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:43,581 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=15.66, mean=-0.2109, std=3.156, absmax=15.66 +2025-11-04 13:40:43,582 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=12.97, mean=-0.1891, std=2.874, absmax=12.97 +2025-11-04 13:40:43,938 ERROR: Encountered non-finite generator loss at iter 24120; skipping update. +2025-11-04 13:40:43,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,940 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:43,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:43,941 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.85, mean=-0.1104, std=2.888, absmax=14.32 +2025-11-04 13:40:43,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=10.43, mean=-0.08904, std=2.704, absmax=12.97 +2025-11-04 13:40:44,298 ERROR: Encountered non-finite generator loss at iter 24121; skipping update. +2025-11-04 13:40:44,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:44,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:44,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:44,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:44,301 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=14.18, mean=-0.09237, std=3.303, absmax=14.18 +2025-11-04 13:40:44,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=13.14, mean=-0.1255, std=2.99, absmax=13.58 +2025-11-04 13:40:44,661 ERROR: Encountered non-finite generator loss at iter 24122; skipping update. +2025-11-04 13:40:44,661 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:44,662 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:44,662 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:44,662 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:44,663 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=11.71, mean=-0.05268, std=3.207, absmax=13.56 +2025-11-04 13:40:44,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=10.81, mean=-0.01563, std=2.991, absmax=12.31 +2025-11-04 13:40:45,020 ERROR: Encountered non-finite generator loss at iter 24123; skipping update. +2025-11-04 13:40:45,021 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,022 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,022 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:45,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.84, mean=-0.1454, std=2.916, absmax=11.92 +2025-11-04 13:40:45,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.33, mean=-0.1063, std=2.774, absmax=11.34 +2025-11-04 13:40:45,381 ERROR: Encountered non-finite generator loss at iter 24124; skipping update. +2025-11-04 13:40:45,382 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,382 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,382 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,383 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:45,383 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=14.48, mean=0.09898, std=2.893, absmax=14.48 +2025-11-04 13:40:45,384 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=12.63, mean=0.08387, std=2.71, absmax=12.63 +2025-11-04 13:40:45,740 ERROR: Encountered non-finite generator loss at iter 24125; skipping update. +2025-11-04 13:40:45,741 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,742 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:45,742 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:45,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=10.35, mean=-0.2566, std=2.573, absmax=13.08 +2025-11-04 13:40:45,743 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=9.154, mean=-0.2726, std=2.448, absmax=12.07 +2025-11-04 13:40:46,100 ERROR: Encountered non-finite generator loss at iter 24126; skipping update. +2025-11-04 13:40:46,101 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,101 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,102 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:46,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=12.13, mean=-0.1192, std=3.109, absmax=14.83 +2025-11-04 13:40:46,103 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=11.68, mean=-0.06422, std=2.884, absmax=12.2 +2025-11-04 13:40:46,460 ERROR: Encountered non-finite generator loss at iter 24127; skipping update. +2025-11-04 13:40:46,460 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,461 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,462 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:46,463 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.62, mean=-0.3708, std=2.72, absmax=12.4 +2025-11-04 13:40:46,463 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=13.66, mean=-0.35, std=2.603, absmax=13.66 +2025-11-04 13:40:46,820 ERROR: Encountered non-finite generator loss at iter 24128; skipping update. +2025-11-04 13:40:46,821 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,822 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:46,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:46,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=15.45, mean=0.001562, std=3.154, absmax=15.45 +2025-11-04 13:40:46,824 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=12.62, mean=-0.00178, std=2.914, absmax=12.62 +2025-11-04 13:40:47,181 ERROR: Encountered non-finite generator loss at iter 24129; skipping update. +2025-11-04 13:40:47,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:47,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=14.05, mean=-0.05211, std=3.11, absmax=14.05 +2025-11-04 13:40:47,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=13.1, mean=-0.04655, std=2.88, absmax=13.1 +2025-11-04 13:40:47,541 ERROR: Encountered non-finite generator loss at iter 24130; skipping update. +2025-11-04 13:40:47,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:47,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.56, mean=-0.2469, std=2.774, absmax=12.56 +2025-11-04 13:40:47,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.66, mean=-0.2088, std=2.605, absmax=10.66 +2025-11-04 13:40:47,902 ERROR: Encountered non-finite generator loss at iter 24131; skipping update. +2025-11-04 13:40:47,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,903 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:47,904 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:47,904 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=16.95, mean=-0.08388, std=3.149, absmax=16.95 +2025-11-04 13:40:47,905 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=14.39, mean=-0.06281, std=2.902, absmax=14.39 +2025-11-04 13:40:48,262 ERROR: Encountered non-finite generator loss at iter 24132; skipping update. +2025-11-04 13:40:48,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:48,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.05, max=14.47, mean=-0.08942, std=3.364, absmax=15.05 +2025-11-04 13:40:48,265 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.47, max=13.64, mean=-0.05402, std=3.131, absmax=14.47 +2025-11-04 13:40:48,623 ERROR: Encountered non-finite generator loss at iter 24133; skipping update. +2025-11-04 13:40:48,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,626 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:48,626 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.89, mean=-0.1961, std=3.047, absmax=14.89 +2025-11-04 13:40:48,627 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=12.39, mean=-0.1504, std=2.829, absmax=12.39 +2025-11-04 13:40:48,985 ERROR: Encountered non-finite generator loss at iter 24134; skipping update. +2025-11-04 13:40:48,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,986 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:48,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:48,987 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=15.16, mean=-0.04937, std=4.055, absmax=15.16 +2025-11-04 13:40:48,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=15.04, mean=-0.04714, std=3.903, absmax=15.04 +2025-11-04 13:40:49,345 ERROR: Encountered non-finite generator loss at iter 24135; skipping update. +2025-11-04 13:40:49,346 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:49,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:49,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:49,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:49,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.27, mean=-0.2049, std=3.471, absmax=13.38 +2025-11-04 13:40:49,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=13.2, mean=-0.1342, std=3.299, absmax=13.2 +2025-11-04 13:40:49,706 ERROR: Encountered non-finite generator loss at iter 24136; skipping update. +2025-11-04 13:40:49,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:49,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:49,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:49,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:49,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.11, mean=-0.01315, std=3.13, absmax=13.11 +2025-11-04 13:40:49,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.76, mean=-0.01704, std=2.905, absmax=10.99 +2025-11-04 13:40:50,066 ERROR: Encountered non-finite generator loss at iter 24137; skipping update. +2025-11-04 13:40:50,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:50,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.48, mean=-0.1858, std=2.399, absmax=11.95 +2025-11-04 13:40:50,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=9.978, mean=-0.1628, std=2.253, absmax=12.22 +2025-11-04 13:40:50,427 ERROR: Encountered non-finite generator loss at iter 24138; skipping update. +2025-11-04 13:40:50,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,430 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:50,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=12.09, mean=-0.2483, std=2.706, absmax=12.32 +2025-11-04 13:40:50,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=9.223, mean=-0.2153, std=2.44, absmax=10.83 +2025-11-04 13:40:50,788 ERROR: Encountered non-finite generator loss at iter 24139; skipping update. +2025-11-04 13:40:50,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:50,790 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:50,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=11.5, mean=-0.06101, std=2.844, absmax=11.63 +2025-11-04 13:40:50,791 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=10.6, mean=-0.07111, std=2.598, absmax=10.6 +2025-11-04 13:40:51,148 ERROR: Encountered non-finite generator loss at iter 24140; skipping update. +2025-11-04 13:40:51,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:51,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=15.33, mean=-0.3419, std=3.115, absmax=15.33 +2025-11-04 13:40:51,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.66, mean=-0.2823, std=2.769, absmax=12.66 +2025-11-04 13:40:51,508 ERROR: Encountered non-finite generator loss at iter 24141; skipping update. +2025-11-04 13:40:51,509 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,510 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:51,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.51, mean=-0.1965, std=3, absmax=12.99 +2025-11-04 13:40:51,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.03, mean=-0.1577, std=2.692, absmax=11.55 +2025-11-04 13:40:51,868 ERROR: Encountered non-finite generator loss at iter 24142; skipping update. +2025-11-04 13:40:51,869 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,869 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,870 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:51,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:51,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=11.8, mean=-0.09154, std=2.649, absmax=11.8 +2025-11-04 13:40:51,871 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=9.453, mean=-0.08275, std=2.362, absmax=10.65 +2025-11-04 13:40:52,229 ERROR: Encountered non-finite generator loss at iter 24143; skipping update. +2025-11-04 13:40:52,229 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,230 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,231 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:52,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.44, mean=0.01341, std=3.429, absmax=14.44 +2025-11-04 13:40:52,232 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.59, mean=0.03241, std=3.22, absmax=12.59 +2025-11-04 13:40:52,589 ERROR: Encountered non-finite generator loss at iter 24144; skipping update. +2025-11-04 13:40:52,590 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,590 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,591 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:52,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=13.17, mean=-0.04701, std=2.542, absmax=13.17 +2025-11-04 13:40:52,592 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.983, max=11.44, mean=-0.1196, std=2.452, absmax=11.44 +2025-11-04 13:40:52,949 ERROR: Encountered non-finite generator loss at iter 24145; skipping update. +2025-11-04 13:40:52,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,950 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:52,951 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:52,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=12.03, mean=-0.313, std=2.722, absmax=13.18 +2025-11-04 13:40:52,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12, mean=-0.3321, std=2.702, absmax=12 +2025-11-04 13:40:53,309 ERROR: Encountered non-finite generator loss at iter 24146; skipping update. +2025-11-04 13:40:53,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:53,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:53,310 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:53,311 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:53,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.44, mean=-0.2532, std=2.94, absmax=13.44 +2025-11-04 13:40:53,312 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=11.83, mean=-0.1997, std=2.676, absmax=11.83 +2025-11-04 13:40:53,669 ERROR: Encountered non-finite generator loss at iter 24147; skipping update. +2025-11-04 13:40:53,670 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:53,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:53,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:53,671 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:53,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.39, mean=-0.3607, std=3.231, absmax=13.69 +2025-11-04 13:40:53,672 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=11.95, mean=-0.305, std=3.028, absmax=12.17 +2025-11-04 13:40:54,029 ERROR: Encountered non-finite generator loss at iter 24148; skipping update. +2025-11-04 13:40:54,030 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,031 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,031 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:54,032 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=14.8, mean=-0.2939, std=3.094, absmax=14.8 +2025-11-04 13:40:54,032 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=14.51, mean=-0.2762, std=2.821, absmax=14.51 +2025-11-04 13:40:54,389 ERROR: Encountered non-finite generator loss at iter 24149; skipping update. +2025-11-04 13:40:54,390 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,391 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,391 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:54,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=13.56, mean=-0.1391, std=2.455, absmax=13.56 +2025-11-04 13:40:54,392 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=11.91, mean=-0.1296, std=2.352, absmax=11.91 +2025-11-04 13:40:54,749 ERROR: Encountered non-finite generator loss at iter 24150; skipping update. +2025-11-04 13:40:54,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:54,752 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:54,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.44, mean=-0.2581, std=3, absmax=12.88 +2025-11-04 13:40:54,753 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=10.86, mean=-0.2428, std=2.777, absmax=11.41 +2025-11-04 13:40:55,110 ERROR: Encountered non-finite generator loss at iter 24151; skipping update. +2025-11-04 13:40:55,111 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,112 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,112 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,112 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:55,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=12.76, mean=-0.08063, std=2.939, absmax=12.76 +2025-11-04 13:40:55,114 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.95, mean=-0.07187, std=2.73, absmax=11.95 +2025-11-04 13:40:55,470 ERROR: Encountered non-finite generator loss at iter 24152; skipping update. +2025-11-04 13:40:55,471 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,472 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,472 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:55,473 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.62, max=11.33, mean=-0.2788, std=2.694, absmax=11.62 +2025-11-04 13:40:55,474 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.14, mean=-0.2378, std=2.579, absmax=11.18 +2025-11-04 13:40:55,830 ERROR: Encountered non-finite generator loss at iter 24153; skipping update. +2025-11-04 13:40:55,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,832 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:55,832 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:55,833 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.32, max=14.17, mean=-0.23, std=3.186, absmax=15.32 +2025-11-04 13:40:55,834 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=11.7, mean=-0.215, std=2.936, absmax=13.5 +2025-11-04 13:40:56,190 ERROR: Encountered non-finite generator loss at iter 24154; skipping update. +2025-11-04 13:40:56,191 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,192 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,192 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:56,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=12.21, mean=-0.1277, std=2.716, absmax=13.62 +2025-11-04 13:40:56,193 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.61, mean=-0.08812, std=2.482, absmax=11.38 +2025-11-04 13:40:56,550 ERROR: Encountered non-finite generator loss at iter 24155; skipping update. +2025-11-04 13:40:56,551 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,552 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:56,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.65, mean=-0.0816, std=3.117, absmax=13.65 +2025-11-04 13:40:56,553 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=11.65, mean=-0.06878, std=2.875, absmax=12.21 +2025-11-04 13:40:56,910 ERROR: Encountered non-finite generator loss at iter 24156; skipping update. +2025-11-04 13:40:56,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,911 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:56,912 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:56,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.22, mean=-0.1776, std=2.777, absmax=13.22 +2025-11-04 13:40:56,913 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=10.04, mean=-0.1593, std=2.534, absmax=10.7 +2025-11-04 13:40:57,270 ERROR: Encountered non-finite generator loss at iter 24157; skipping update. +2025-11-04 13:40:57,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,271 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,272 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:57,272 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.28, mean=-0.283, std=3.175, absmax=13.86 +2025-11-04 13:40:57,273 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=10.1, mean=-0.2996, std=3.085, absmax=13.19 +2025-11-04 13:40:57,629 ERROR: Encountered non-finite generator loss at iter 24158; skipping update. +2025-11-04 13:40:57,630 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,631 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:57,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.35, mean=-0.2137, std=2.79, absmax=13.54 +2025-11-04 13:40:57,633 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.45, max=11.71, mean=-0.1737, std=2.712, absmax=13.45 +2025-11-04 13:40:57,990 ERROR: Encountered non-finite generator loss at iter 24159; skipping update. +2025-11-04 13:40:57,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:57,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:57,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.83, mean=-0.2613, std=3.418, absmax=13.83 +2025-11-04 13:40:57,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=12.48, mean=-0.2883, std=3.087, absmax=12.48 +2025-11-04 13:40:58,351 ERROR: Encountered non-finite generator loss at iter 24160; skipping update. +2025-11-04 13:40:58,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:58,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:58,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:58,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:58,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=11.91, mean=-0.1312, std=2.629, absmax=13.61 +2025-11-04 13:40:58,355 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=10.8, mean=-0.1128, std=2.41, absmax=10.8 +2025-11-04 13:40:58,713 ERROR: Encountered non-finite generator loss at iter 24161; skipping update. +2025-11-04 13:40:58,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:58,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:58,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:58,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:58,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=15.71, mean=-0.2339, std=3.486, absmax=15.71 +2025-11-04 13:40:58,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=13.8, mean=-0.2327, std=3.202, absmax=13.8 +2025-11-04 13:40:59,073 ERROR: Encountered non-finite generator loss at iter 24162; skipping update. +2025-11-04 13:40:59,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:59,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=17.37, mean=-0.03225, std=2.952, absmax=17.37 +2025-11-04 13:40:59,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=12.2, mean=-0.04825, std=2.781, absmax=12.2 +2025-11-04 13:40:59,433 ERROR: Encountered non-finite generator loss at iter 24163; skipping update. +2025-11-04 13:40:59,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:59,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=11.84, mean=0.02689, std=2.855, absmax=11.84 +2025-11-04 13:40:59,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=11.81, mean=0.04374, std=2.751, absmax=11.81 +2025-11-04 13:40:59,793 ERROR: Encountered non-finite generator loss at iter 24164; skipping update. +2025-11-04 13:40:59,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,795 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:40:59,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:40:59,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.77, mean=-0.328, std=3.098, absmax=13.29 +2025-11-04 13:40:59,797 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=11.01, mean=-0.2868, std=2.914, absmax=12.33 +2025-11-04 13:41:00,154 ERROR: Encountered non-finite generator loss at iter 24165; skipping update. +2025-11-04 13:41:00,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:00,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=15.15, mean=-0.1949, std=3.711, absmax=15.15 +2025-11-04 13:41:00,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=13.55, mean=-0.2085, std=3.418, absmax=13.55 +2025-11-04 13:41:00,514 ERROR: Encountered non-finite generator loss at iter 24166; skipping update. +2025-11-04 13:41:00,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:00,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.3, mean=-0.1486, std=3.891, absmax=13.79 +2025-11-04 13:41:00,517 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.32, max=12.49, mean=-0.1133, std=3.671, absmax=13.32 +2025-11-04 13:41:00,874 ERROR: Encountered non-finite generator loss at iter 24167; skipping update. +2025-11-04 13:41:00,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:00,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:00,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=11.28, mean=-0.1082, std=2.688, absmax=14.19 +2025-11-04 13:41:00,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=10.73, mean=-0.08098, std=2.487, absmax=12.1 +2025-11-04 13:41:01,235 ERROR: Encountered non-finite generator loss at iter 24168; skipping update. +2025-11-04 13:41:01,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:01,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12, mean=0.004399, std=3.552, absmax=13.13 +2025-11-04 13:41:01,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=10.98, mean=-0.005295, std=3.308, absmax=12.59 +2025-11-04 13:41:01,596 ERROR: Encountered non-finite generator loss at iter 24169; skipping update. +2025-11-04 13:41:01,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,598 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,598 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:01,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=12.17, mean=-0.2446, std=2.466, absmax=12.17 +2025-11-04 13:41:01,599 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=8.862, mean=-0.2842, std=2.303, absmax=11.58 +2025-11-04 13:41:01,957 ERROR: Encountered non-finite generator loss at iter 24170; skipping update. +2025-11-04 13:41:01,958 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,959 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:01,959 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:01,959 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=13.79, mean=-0.1387, std=2.541, absmax=13.79 +2025-11-04 13:41:01,960 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=11.73, mean=-0.1483, std=2.342, absmax=11.73 +2025-11-04 13:41:02,317 ERROR: Encountered non-finite generator loss at iter 24171; skipping update. +2025-11-04 13:41:02,318 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:02,319 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:02,319 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:02,319 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:02,320 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.74, mean=-0.09278, std=3.753, absmax=14.74 +2025-11-04 13:41:02,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=14.67, mean=-0.06689, std=3.634, absmax=14.67 +2025-11-04 13:41:02,677 ERROR: Encountered non-finite generator loss at iter 24172; skipping update. +2025-11-04 13:41:02,678 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:02,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:02,679 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:02,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:02,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=12.07, mean=-0.237, std=2.497, absmax=13.6 +2025-11-04 13:41:02,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.01, max=11.29, mean=-0.2289, std=2.337, absmax=14.01 +2025-11-04 13:41:03,038 ERROR: Encountered non-finite generator loss at iter 24173; skipping update. +2025-11-04 13:41:03,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,041 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:03,042 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=16.02, mean=-0.2542, std=3.187, absmax=16.02 +2025-11-04 13:41:03,042 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=13.96, mean=-0.2189, std=3.017, absmax=13.96 +2025-11-04 13:41:03,400 ERROR: Encountered non-finite generator loss at iter 24174; skipping update. +2025-11-04 13:41:03,401 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,401 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,402 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,402 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:03,403 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.87, mean=-0.2476, std=2.881, absmax=13.87 +2025-11-04 13:41:03,403 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=13.23, mean=-0.2624, std=2.676, absmax=13.23 +2025-11-04 13:41:03,761 ERROR: Encountered non-finite generator loss at iter 24175; skipping update. +2025-11-04 13:41:03,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:03,762 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:03,763 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.48, max=11.5, mean=-0.2765, std=2.589, absmax=11.5 +2025-11-04 13:41:03,763 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=9.352, mean=-0.2605, std=2.416, absmax=11.08 +2025-11-04 13:41:04,121 ERROR: Encountered non-finite generator loss at iter 24176; skipping update. +2025-11-04 13:41:04,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,123 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:04,124 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=11.92, mean=-0.2994, std=2.765, absmax=11.95 +2025-11-04 13:41:04,124 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=10.75, mean=-0.2766, std=2.578, absmax=11.22 +2025-11-04 13:41:04,482 ERROR: Encountered non-finite generator loss at iter 24177; skipping update. +2025-11-04 13:41:04,483 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,483 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,484 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,484 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:04,485 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.14, mean=-0.06354, std=2.977, absmax=12.61 +2025-11-04 13:41:04,485 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=12.13, mean=-0.01183, std=2.84, absmax=12.13 +2025-11-04 13:41:04,842 ERROR: Encountered non-finite generator loss at iter 24178; skipping update. +2025-11-04 13:41:04,843 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,844 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:04,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:04,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=15.16, mean=0.004601, std=3.851, absmax=15.16 +2025-11-04 13:41:04,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=15.04, mean=0.008224, std=3.628, absmax=15.04 +2025-11-04 13:41:05,203 ERROR: Encountered non-finite generator loss at iter 24179; skipping update. +2025-11-04 13:41:05,204 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,204 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,205 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,205 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:05,206 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=13.39, mean=-0.09192, std=3.154, absmax=13.39 +2025-11-04 13:41:05,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=12.63, mean=-0.09242, std=3.069, absmax=12.63 +2025-11-04 13:41:05,564 ERROR: Encountered non-finite generator loss at iter 24180; skipping update. +2025-11-04 13:41:05,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:05,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=15.27, mean=-0.3761, std=3.112, absmax=15.27 +2025-11-04 13:41:05,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=13.51, mean=-0.3537, std=2.926, absmax=13.51 +2025-11-04 13:41:05,925 ERROR: Encountered non-finite generator loss at iter 24181; skipping update. +2025-11-04 13:41:05,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:05,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:05,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.99, mean=0.02217, std=3.123, absmax=13.99 +2025-11-04 13:41:05,929 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.84, mean=0.02955, std=2.859, absmax=12.84 +2025-11-04 13:41:06,286 ERROR: Encountered non-finite generator loss at iter 24182; skipping update. +2025-11-04 13:41:06,287 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:06,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:06,288 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:06,288 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:06,289 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=11.81, mean=-0.07522, std=2.976, absmax=13.02 +2025-11-04 13:41:06,289 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=11.08, mean=-0.08429, std=2.782, absmax=11.45 +2025-11-04 13:41:06,647 ERROR: Encountered non-finite generator loss at iter 24183; skipping update. +2025-11-04 13:41:06,648 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:06,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:06,649 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:06,649 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:06,650 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.69, mean=-0.1937, std=2.773, absmax=13.03 +2025-11-04 13:41:06,650 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=11.66, mean=-0.1636, std=2.575, absmax=12.67 +2025-11-04 13:41:07,008 ERROR: Encountered non-finite generator loss at iter 24184; skipping update. +2025-11-04 13:41:07,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,011 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:07,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.25, mean=-0.1671, std=2.944, absmax=14.25 +2025-11-04 13:41:07,012 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=13.12, mean=-0.1505, std=2.678, absmax=13.12 +2025-11-04 13:41:07,369 ERROR: Encountered non-finite generator loss at iter 24185; skipping update. +2025-11-04 13:41:07,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,371 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:07,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=10.65, mean=-0.1887, std=2.749, absmax=12.28 +2025-11-04 13:41:07,373 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=8.77, mean=-0.193, std=2.557, absmax=12 +2025-11-04 13:41:07,730 ERROR: Encountered non-finite generator loss at iter 24186; skipping update. +2025-11-04 13:41:07,731 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:07,732 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:07,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.54, mean=-0.2004, std=2.629, absmax=12.54 +2025-11-04 13:41:07,733 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=11.17, mean=-0.1533, std=2.444, absmax=11.17 +2025-11-04 13:41:08,091 ERROR: Encountered non-finite generator loss at iter 24187; skipping update. +2025-11-04 13:41:08,091 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,092 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,092 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:08,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=12.9, mean=-0.2993, std=2.763, absmax=12.9 +2025-11-04 13:41:08,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=11.07, mean=-0.2827, std=2.569, absmax=11.07 +2025-11-04 13:41:08,460 ERROR: Encountered non-finite generator loss at iter 24188; skipping update. +2025-11-04 13:41:08,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:08,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=9.663, mean=-0.1636, std=2.53, absmax=12.36 +2025-11-04 13:41:08,470 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=8.351, mean=-0.184, std=2.395, absmax=10.57 +2025-11-04 13:41:08,835 ERROR: Encountered non-finite generator loss at iter 24189; skipping update. +2025-11-04 13:41:08,840 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,842 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:08,844 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:08,845 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.98, mean=-0.3057, std=3.11, absmax=13 +2025-11-04 13:41:08,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.75, mean=-0.2898, std=2.842, absmax=11.75 +2025-11-04 13:41:09,222 ERROR: Encountered non-finite generator loss at iter 24190; skipping update. +2025-11-04 13:41:09,223 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,224 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:09,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.16, mean=-0.2165, std=3.135, absmax=13.29 +2025-11-04 13:41:09,225 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.01, mean=-0.2178, std=2.854, absmax=12.01 +2025-11-04 13:41:09,584 ERROR: Encountered non-finite generator loss at iter 24191; skipping update. +2025-11-04 13:41:09,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,586 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,587 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:09,588 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=12.03, mean=-0.1626, std=2.779, absmax=12.28 +2025-11-04 13:41:09,589 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=12.24, mean=-0.1151, std=2.674, absmax=12.81 +2025-11-04 13:41:09,971 ERROR: Encountered non-finite generator loss at iter 24192; skipping update. +2025-11-04 13:41:09,972 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:09,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:09,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=12.9, mean=0.06279, std=3.426, absmax=12.9 +2025-11-04 13:41:09,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=12.14, mean=0.08143, std=3.187, absmax=12.14 +2025-11-04 13:41:10,344 ERROR: Encountered non-finite generator loss at iter 24193; skipping update. +2025-11-04 13:41:10,345 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:10,346 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:10,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:10,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:10,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=12.53, mean=-0.04385, std=3.291, absmax=13.73 +2025-11-04 13:41:10,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.32, mean=-0.04518, std=3.081, absmax=11.9 +2025-11-04 13:41:10,719 ERROR: Encountered non-finite generator loss at iter 24194; skipping update. +2025-11-04 13:41:10,721 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:10,722 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:10,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:10,722 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:10,723 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=16.54, mean=-0.1718, std=2.991, absmax=16.54 +2025-11-04 13:41:10,724 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=12.35, mean=-0.1248, std=2.799, absmax=12.44 +2025-11-04 13:41:11,083 ERROR: Encountered non-finite generator loss at iter 24195; skipping update. +2025-11-04 13:41:11,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,085 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,086 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:11,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.9, mean=-0.2085, std=3.386, absmax=13.9 +2025-11-04 13:41:11,087 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.96, max=12.48, mean=-0.1869, std=3.129, absmax=12.96 +2025-11-04 13:41:11,446 ERROR: Encountered non-finite generator loss at iter 24196; skipping update. +2025-11-04 13:41:11,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:11,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13, mean=-0.2182, std=2.718, absmax=13 +2025-11-04 13:41:11,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.16, mean=-0.2056, std=2.457, absmax=11.68 +2025-11-04 13:41:11,817 ERROR: Encountered non-finite generator loss at iter 24197; skipping update. +2025-11-04 13:41:11,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:11,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:11,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.71, mean=-0.09266, std=3.001, absmax=12.71 +2025-11-04 13:41:11,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=12.41, mean=-0.09892, std=2.826, absmax=12.41 +2025-11-04 13:41:12,181 ERROR: Encountered non-finite generator loss at iter 24198; skipping update. +2025-11-04 13:41:12,181 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,183 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:12,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.76, mean=-0.08401, std=3.182, absmax=13.76 +2025-11-04 13:41:12,185 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=13.46, mean=-0.06099, std=2.967, absmax=13.46 +2025-11-04 13:41:12,544 ERROR: Encountered non-finite generator loss at iter 24199; skipping update. +2025-11-04 13:41:12,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,546 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,547 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:12,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=15.77, mean=-0.08729, std=3.466, absmax=15.77 +2025-11-04 13:41:12,548 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=13.48, mean=-0.06833, std=3.188, absmax=13.48 +2025-11-04 13:41:12,907 ERROR: Encountered non-finite generator loss at iter 24200; skipping update. +2025-11-04 13:41:12,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:12,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:12,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=16.05, mean=-0.0669, std=3.393, absmax=16.05 +2025-11-04 13:41:12,912 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=14.26, mean=-0.07001, std=3.196, absmax=14.26 +2025-11-04 13:41:12,912 INFO: [38..][epoch: 0, step: 24,200, lr:(2.000e-04,)] [eta: 1 day, 3:54:17, time (data): 0.362 (0.000)] +2025-11-04 13:41:13,270 ERROR: Encountered non-finite generator loss at iter 24201; skipping update. +2025-11-04 13:41:13,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,272 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:13,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.33, mean=-0.06283, std=3.382, absmax=13.33 +2025-11-04 13:41:13,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.53, mean=-0.09254, std=3.155, absmax=12.53 +2025-11-04 13:41:13,630 ERROR: Encountered non-finite generator loss at iter 24202; skipping update. +2025-11-04 13:41:13,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,631 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:13,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.38, mean=-0.1787, std=2.976, absmax=13.38 +2025-11-04 13:41:13,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.36, mean=-0.1999, std=2.71, absmax=12.3 +2025-11-04 13:41:13,990 ERROR: Encountered non-finite generator loss at iter 24203; skipping update. +2025-11-04 13:41:13,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:13,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:13,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.64, max=13.9, mean=0.006903, std=3.284, absmax=17.64 +2025-11-04 13:41:13,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.77, max=12.77, mean=0.01446, std=2.96, absmax=15.77 +2025-11-04 13:41:14,350 ERROR: Encountered non-finite generator loss at iter 24204; skipping update. +2025-11-04 13:41:14,351 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:14,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:14,352 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:14,353 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:14,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=12.45, mean=-0.04007, std=3.091, absmax=13.57 +2025-11-04 13:41:14,354 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=12.15, mean=-0.02696, std=2.839, absmax=12.15 +2025-11-04 13:41:14,710 ERROR: Encountered non-finite generator loss at iter 24205; skipping update. +2025-11-04 13:41:14,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:14,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:14,713 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:14,713 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:14,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.73, mean=-0.2232, std=3.339, absmax=13.01 +2025-11-04 13:41:14,714 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=11.45, mean=-0.2103, std=3.033, absmax=11.81 +2025-11-04 13:41:15,070 ERROR: Encountered non-finite generator loss at iter 24206; skipping update. +2025-11-04 13:41:15,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,072 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,072 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:15,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=17.47, mean=-0.09946, std=2.813, absmax=17.47 +2025-11-04 13:41:15,073 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=13.42, mean=-0.05971, std=2.681, absmax=13.42 +2025-11-04 13:41:15,430 ERROR: Encountered non-finite generator loss at iter 24207; skipping update. +2025-11-04 13:41:15,431 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,432 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,432 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:15,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=12.98, mean=-0.1576, std=3.486, absmax=12.98 +2025-11-04 13:41:15,433 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.81, max=11.12, mean=-0.1607, std=3.285, absmax=13.81 +2025-11-04 13:41:15,790 ERROR: Encountered non-finite generator loss at iter 24208; skipping update. +2025-11-04 13:41:15,791 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,791 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:15,792 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:15,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=13.69, mean=-0.2346, std=2.862, absmax=13.69 +2025-11-04 13:41:15,793 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=11.34, mean=-0.2273, std=2.642, absmax=11.34 +2025-11-04 13:41:16,150 ERROR: Encountered non-finite generator loss at iter 24209; skipping update. +2025-11-04 13:41:16,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,152 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:16,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=15.1, mean=-0.1622, std=3.346, absmax=15.1 +2025-11-04 13:41:16,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=11.48, mean=-0.1482, std=3.111, absmax=12.39 +2025-11-04 13:41:16,511 ERROR: Encountered non-finite generator loss at iter 24210; skipping update. +2025-11-04 13:41:16,512 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,513 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,513 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:16,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=10.03, mean=-0.234, std=2.458, absmax=12.34 +2025-11-04 13:41:16,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=8.139, mean=-0.258, std=2.357, absmax=10.28 +2025-11-04 13:41:16,871 ERROR: Encountered non-finite generator loss at iter 24211; skipping update. +2025-11-04 13:41:16,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:16,873 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:16,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=11.73, mean=-0.3774, std=3.576, absmax=13.69 +2025-11-04 13:41:16,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.11, mean=-0.3915, std=3.257, absmax=12.11 +2025-11-04 13:41:17,232 ERROR: Encountered non-finite generator loss at iter 24212; skipping update. +2025-11-04 13:41:17,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,233 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:17,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.15, mean=-0.15, std=2.782, absmax=14.15 +2025-11-04 13:41:17,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=14.05, mean=-0.1823, std=2.592, absmax=14.05 +2025-11-04 13:41:17,591 ERROR: Encountered non-finite generator loss at iter 24213; skipping update. +2025-11-04 13:41:17,592 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:17,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=10.77, mean=-0.2114, std=2.567, absmax=13.78 +2025-11-04 13:41:17,594 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=8.95, mean=-0.2097, std=2.465, absmax=12.93 +2025-11-04 13:41:17,950 ERROR: Encountered non-finite generator loss at iter 24214; skipping update. +2025-11-04 13:41:17,951 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,952 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:17,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:17,953 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.39, mean=-0.05585, std=3.082, absmax=13.39 +2025-11-04 13:41:17,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=13.6, mean=-0.01345, std=2.981, absmax=13.6 +2025-11-04 13:41:18,310 ERROR: Encountered non-finite generator loss at iter 24215; skipping update. +2025-11-04 13:41:18,311 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:18,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:18,312 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:18,313 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:18,313 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.56, mean=-0.236, std=3.627, absmax=14.86 +2025-11-04 13:41:18,314 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=12.04, mean=-0.2755, std=3.449, absmax=12.94 +2025-11-04 13:41:18,670 ERROR: Encountered non-finite generator loss at iter 24216; skipping update. +2025-11-04 13:41:18,671 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:18,672 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:18,672 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:18,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:18,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.95, mean=-0.2547, std=2.97, absmax=14.95 +2025-11-04 13:41:18,674 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=11.22, mean=-0.2593, std=2.802, absmax=11.73 +2025-11-04 13:41:19,031 ERROR: Encountered non-finite generator loss at iter 24217; skipping update. +2025-11-04 13:41:19,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:19,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=15.12, mean=-0.1493, std=3.1, absmax=15.12 +2025-11-04 13:41:19,034 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=14.1, mean=-0.1545, std=2.935, absmax=14.1 +2025-11-04 13:41:19,391 ERROR: Encountered non-finite generator loss at iter 24218; skipping update. +2025-11-04 13:41:19,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:19,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12.46, mean=-0.2075, std=3.145, absmax=14.06 +2025-11-04 13:41:19,395 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=10.89, mean=-0.214, std=2.916, absmax=12.6 +2025-11-04 13:41:19,752 ERROR: Encountered non-finite generator loss at iter 24219; skipping update. +2025-11-04 13:41:19,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:19,754 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:19,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.62, mean=0.05957, std=2.942, absmax=12.62 +2025-11-04 13:41:19,755 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=11.41, mean=0.07437, std=2.745, absmax=11.49 +2025-11-04 13:41:20,112 ERROR: Encountered non-finite generator loss at iter 24220; skipping update. +2025-11-04 13:41:20,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:20,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14.78, mean=-0.2137, std=3.303, absmax=14.78 +2025-11-04 13:41:20,115 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.96, mean=-0.1835, std=2.952, absmax=12.96 +2025-11-04 13:41:20,472 ERROR: Encountered non-finite generator loss at iter 24221; skipping update. +2025-11-04 13:41:20,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:20,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=13.02, mean=-0.2036, std=2.785, absmax=13.02 +2025-11-04 13:41:20,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.27, mean=-0.1777, std=2.701, absmax=12.27 +2025-11-04 13:41:20,832 ERROR: Encountered non-finite generator loss at iter 24222; skipping update. +2025-11-04 13:41:20,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:20,834 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:20,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=14.2, mean=0.09528, std=3.431, absmax=14.2 +2025-11-04 13:41:20,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=12.92, mean=0.07852, std=3.175, absmax=12.92 +2025-11-04 13:41:21,192 ERROR: Encountered non-finite generator loss at iter 24223; skipping update. +2025-11-04 13:41:21,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:21,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.48, mean=-0.01214, std=3.253, absmax=12.48 +2025-11-04 13:41:21,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.05, mean=-0.0484, std=3.071, absmax=12.05 +2025-11-04 13:41:21,552 ERROR: Encountered non-finite generator loss at iter 24224; skipping update. +2025-11-04 13:41:21,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:21,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.32, mean=-0.2221, std=2.889, absmax=11.99 +2025-11-04 13:41:21,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=9.961, mean=-0.1924, std=2.712, absmax=11.11 +2025-11-04 13:41:21,912 ERROR: Encountered non-finite generator loss at iter 24225; skipping update. +2025-11-04 13:41:21,913 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:21,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:21,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=15.09, mean=-0.05423, std=3.043, absmax=15.09 +2025-11-04 13:41:21,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.74, mean=-0.05096, std=2.769, absmax=13.74 +2025-11-04 13:41:22,273 ERROR: Encountered non-finite generator loss at iter 24226; skipping update. +2025-11-04 13:41:22,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:22,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:22,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:22,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:22,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=15.25, mean=-0.1935, std=3.204, absmax=15.25 +2025-11-04 13:41:22,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.45, mean=-0.2001, std=2.896, absmax=11.45 +2025-11-04 13:41:22,634 ERROR: Encountered non-finite generator loss at iter 24227; skipping update. +2025-11-04 13:41:22,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:22,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:22,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:22,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:22,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.03, mean=-0.2512, std=2.818, absmax=12.73 +2025-11-04 13:41:22,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=11.52, mean=-0.2487, std=2.77, absmax=12.68 +2025-11-04 13:41:23,001 ERROR: Encountered non-finite generator loss at iter 24228; skipping update. +2025-11-04 13:41:23,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:23,005 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=10.65, mean=-0.1721, std=2.908, absmax=12.6 +2025-11-04 13:41:23,006 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=9.339, mean=-0.1967, std=2.643, absmax=11.01 +2025-11-04 13:41:23,366 ERROR: Encountered non-finite generator loss at iter 24229; skipping update. +2025-11-04 13:41:23,367 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,369 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:23,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.58, mean=-0.02504, std=3.3, absmax=12.58 +2025-11-04 13:41:23,370 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.67, mean=-0.00205, std=3.131, absmax=12.67 +2025-11-04 13:41:23,727 ERROR: Encountered non-finite generator loss at iter 24230; skipping update. +2025-11-04 13:41:23,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:23,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:23,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.16, mean=-0.158, std=3.514, absmax=14.16 +2025-11-04 13:41:23,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=10.93, mean=-0.1433, std=3.312, absmax=12.48 +2025-11-04 13:41:24,088 ERROR: Encountered non-finite generator loss at iter 24231; skipping update. +2025-11-04 13:41:24,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,090 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:24,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.87, max=11.7, mean=-0.2617, std=2.816, absmax=14.87 +2025-11-04 13:41:24,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=10.28, mean=-0.2374, std=2.52, absmax=13.28 +2025-11-04 13:41:24,448 ERROR: Encountered non-finite generator loss at iter 24232; skipping update. +2025-11-04 13:41:24,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,450 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:24,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.34, mean=-0.1122, std=3.268, absmax=13.34 +2025-11-04 13:41:24,451 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=12.37, mean=-0.0915, std=2.946, absmax=12.37 +2025-11-04 13:41:24,808 ERROR: Encountered non-finite generator loss at iter 24233; skipping update. +2025-11-04 13:41:24,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:24,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:24,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=14.08, mean=-0.1603, std=3.423, absmax=14.08 +2025-11-04 13:41:24,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=12.1, mean=-0.1376, std=3.286, absmax=13.27 +2025-11-04 13:41:25,169 ERROR: Encountered non-finite generator loss at iter 24234; skipping update. +2025-11-04 13:41:25,170 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,171 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:25,172 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=14.32, mean=0.2423, std=3.528, absmax=14.38 +2025-11-04 13:41:25,172 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=13.35, mean=0.2484, std=3.263, absmax=13.35 +2025-11-04 13:41:25,529 ERROR: Encountered non-finite generator loss at iter 24235; skipping update. +2025-11-04 13:41:25,530 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,531 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,531 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:25,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=10.41, mean=-0.2655, std=2.737, absmax=14.36 +2025-11-04 13:41:25,532 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=9.336, mean=-0.2305, std=2.622, absmax=13.7 +2025-11-04 13:41:25,889 ERROR: Encountered non-finite generator loss at iter 24236; skipping update. +2025-11-04 13:41:25,890 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:25,891 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:25,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=11.77, mean=-0.1718, std=2.664, absmax=14.83 +2025-11-04 13:41:25,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.49, max=10.21, mean=-0.1847, std=2.417, absmax=12.49 +2025-11-04 13:41:26,249 ERROR: Encountered non-finite generator loss at iter 24237; skipping update. +2025-11-04 13:41:26,250 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,251 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:26,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=15.75, mean=0.273, std=4.118, absmax=15.75 +2025-11-04 13:41:26,252 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.09, max=14.73, mean=0.2511, std=3.877, absmax=14.73 +2025-11-04 13:41:26,608 ERROR: Encountered non-finite generator loss at iter 24238; skipping update. +2025-11-04 13:41:26,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:26,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=16.82, mean=-0.2123, std=3.027, absmax=16.82 +2025-11-04 13:41:26,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=13.95, mean=-0.2059, std=2.814, absmax=13.95 +2025-11-04 13:41:26,968 ERROR: Encountered non-finite generator loss at iter 24239; skipping update. +2025-11-04 13:41:26,968 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,969 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,969 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:26,969 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:26,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=13.74, mean=-0.004858, std=3.04, absmax=14.02 +2025-11-04 13:41:26,970 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.34, mean=-0.003051, std=2.863, absmax=12.34 +2025-11-04 13:41:27,327 ERROR: Encountered non-finite generator loss at iter 24240; skipping update. +2025-11-04 13:41:27,328 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:27,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:27,329 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:27,330 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:27,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.93, mean=-0.2158, std=2.531, absmax=12.49 +2025-11-04 13:41:27,331 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.95, mean=-0.2341, std=2.353, absmax=11.2 +2025-11-04 13:41:27,688 ERROR: Encountered non-finite generator loss at iter 24241; skipping update. +2025-11-04 13:41:27,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:27,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:27,689 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:27,690 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:27,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=15.56, mean=-0.1164, std=3.711, absmax=15.72 +2025-11-04 13:41:27,691 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=13.64, mean=-0.112, std=3.491, absmax=13.64 +2025-11-04 13:41:28,048 ERROR: Encountered non-finite generator loss at iter 24242; skipping update. +2025-11-04 13:41:28,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,050 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:28,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=10.07, mean=-0.3323, std=2.612, absmax=11.63 +2025-11-04 13:41:28,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=9.765, mean=-0.3299, std=2.55, absmax=10.32 +2025-11-04 13:41:28,408 ERROR: Encountered non-finite generator loss at iter 24243; skipping update. +2025-11-04 13:41:28,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,410 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:28,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=10.68, mean=-0.3029, std=3.135, absmax=12.25 +2025-11-04 13:41:28,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=9.577, mean=-0.2919, std=2.989, absmax=11.95 +2025-11-04 13:41:28,768 ERROR: Encountered non-finite generator loss at iter 24244; skipping update. +2025-11-04 13:41:28,769 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,770 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:28,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:28,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=10.96, mean=-0.1662, std=3.069, absmax=13.8 +2025-11-04 13:41:28,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.19, max=9.921, mean=-0.1939, std=2.876, absmax=14.19 +2025-11-04 13:41:29,129 ERROR: Encountered non-finite generator loss at iter 24245; skipping update. +2025-11-04 13:41:29,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,131 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,131 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:29,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.46, mean=-0.2027, std=2.608, absmax=13.46 +2025-11-04 13:41:29,133 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=11.53, mean=-0.1878, std=2.42, absmax=11.53 +2025-11-04 13:41:29,489 ERROR: Encountered non-finite generator loss at iter 24246; skipping update. +2025-11-04 13:41:29,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:29,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.13, mean=-0.2465, std=2.807, absmax=12.18 +2025-11-04 13:41:29,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=10.84, mean=-0.2227, std=2.762, absmax=11.01 +2025-11-04 13:41:29,848 ERROR: Encountered non-finite generator loss at iter 24247; skipping update. +2025-11-04 13:41:29,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:29,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:29,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.16, mean=-0.0977, std=2.814, absmax=14.75 +2025-11-04 13:41:29,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=13.51, mean=-0.07001, std=2.666, absmax=13.51 +2025-11-04 13:41:30,209 ERROR: Encountered non-finite generator loss at iter 24248; skipping update. +2025-11-04 13:41:30,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:30,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=11.89, mean=-0.2136, std=3.083, absmax=13.92 +2025-11-04 13:41:30,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=11.29, mean=-0.1752, std=2.876, absmax=13.18 +2025-11-04 13:41:30,569 ERROR: Encountered non-finite generator loss at iter 24249; skipping update. +2025-11-04 13:41:30,570 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,571 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:30,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.35, mean=-0.1415, std=3.152, absmax=13.35 +2025-11-04 13:41:30,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=12.47, mean=-0.1321, std=2.819, absmax=12.47 +2025-11-04 13:41:30,930 ERROR: Encountered non-finite generator loss at iter 24250; skipping update. +2025-11-04 13:41:30,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,932 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:30,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:30,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.09, mean=-0.186, std=2.874, absmax=13.09 +2025-11-04 13:41:30,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=11.46, mean=-0.1779, std=2.665, absmax=11.77 +2025-11-04 13:41:31,291 ERROR: Encountered non-finite generator loss at iter 24251; skipping update. +2025-11-04 13:41:31,292 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:31,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:31,293 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:31,293 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:31,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.39, mean=-0.2818, std=2.978, absmax=14.39 +2025-11-04 13:41:31,294 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=12.21, mean=-0.2637, std=2.831, absmax=13.37 +2025-11-04 13:41:31,651 ERROR: Encountered non-finite generator loss at iter 24252; skipping update. +2025-11-04 13:41:31,652 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:31,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:31,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:31,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:31,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.97, mean=-0.02467, std=2.693, absmax=12.97 +2025-11-04 13:41:31,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.871, max=11.75, mean=-0.05606, std=2.43, absmax=11.75 +2025-11-04 13:41:32,011 ERROR: Encountered non-finite generator loss at iter 24253; skipping update. +2025-11-04 13:41:32,012 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,013 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:32,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.06, mean=0.1411, std=3.141, absmax=13.39 +2025-11-04 13:41:32,015 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=11.58, mean=0.1441, std=2.878, absmax=12.51 +2025-11-04 13:41:32,371 ERROR: Encountered non-finite generator loss at iter 24254; skipping update. +2025-11-04 13:41:32,372 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,373 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,373 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:32,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.41, max=15.19, mean=-0.08004, std=3.242, absmax=15.41 +2025-11-04 13:41:32,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=13.01, mean=-0.04281, std=2.967, absmax=13.28 +2025-11-04 13:41:32,732 ERROR: Encountered non-finite generator loss at iter 24255; skipping update. +2025-11-04 13:41:32,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:32,734 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:32,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.85, mean=-0.1678, std=2.709, absmax=13.34 +2025-11-04 13:41:32,735 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.24, mean=-0.2142, std=2.664, absmax=12.12 +2025-11-04 13:41:33,092 ERROR: Encountered non-finite generator loss at iter 24256; skipping update. +2025-11-04 13:41:33,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:33,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=11.71, mean=-0.185, std=2.934, absmax=12.99 +2025-11-04 13:41:33,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=9.744, mean=-0.1654, std=2.645, absmax=11.52 +2025-11-04 13:41:33,452 ERROR: Encountered non-finite generator loss at iter 24257; skipping update. +2025-11-04 13:41:33,453 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,454 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,454 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:33,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.45, mean=-0.0689, std=2.936, absmax=12.82 +2025-11-04 13:41:33,455 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=11.2, mean=-0.08958, std=2.688, absmax=11.2 +2025-11-04 13:41:33,812 ERROR: Encountered non-finite generator loss at iter 24258; skipping update. +2025-11-04 13:41:33,813 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:33,815 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:33,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.05, mean=-0.1873, std=2.493, absmax=12.56 +2025-11-04 13:41:33,816 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.925, max=11.39, mean=-0.1826, std=2.267, absmax=11.39 +2025-11-04 13:41:34,172 ERROR: Encountered non-finite generator loss at iter 24259; skipping update. +2025-11-04 13:41:34,174 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,175 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:34,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.59, max=10.12, mean=-0.279, std=2.543, absmax=10.59 +2025-11-04 13:41:34,176 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=8.614, mean=-0.3372, std=2.449, absmax=10.73 +2025-11-04 13:41:34,532 ERROR: Encountered non-finite generator loss at iter 24260; skipping update. +2025-11-04 13:41:34,533 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,534 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,534 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:34,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=12.39, mean=-0.2243, std=2.511, absmax=12.39 +2025-11-04 13:41:34,535 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.955, max=11.56, mean=-0.2179, std=2.343, absmax=11.56 +2025-11-04 13:41:34,892 ERROR: Encountered non-finite generator loss at iter 24261; skipping update. +2025-11-04 13:41:34,893 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:34,894 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:34,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=9.695, mean=-0.2759, std=2.985, absmax=12.16 +2025-11-04 13:41:34,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=9.34, mean=-0.2507, std=2.845, absmax=12.03 +2025-11-04 13:41:35,252 ERROR: Encountered non-finite generator loss at iter 24262; skipping update. +2025-11-04 13:41:35,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:35,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=13.44, mean=-0.0666, std=2.944, absmax=14.67 +2025-11-04 13:41:35,256 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=11.53, mean=-0.02884, std=2.769, absmax=13.06 +2025-11-04 13:41:35,612 ERROR: Encountered non-finite generator loss at iter 24263; skipping update. +2025-11-04 13:41:35,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,615 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:35,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=16.96, mean=-0.4071, std=3.37, absmax=16.96 +2025-11-04 13:41:35,616 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.45, max=14.06, mean=-0.3931, std=3.148, absmax=14.06 +2025-11-04 13:41:35,973 ERROR: Encountered non-finite generator loss at iter 24264; skipping update. +2025-11-04 13:41:35,974 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,975 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:35,975 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:35,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=15.2, mean=0.07008, std=3.287, absmax=15.2 +2025-11-04 13:41:35,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.43, max=15.13, mean=0.07078, std=3.057, absmax=15.13 +2025-11-04 13:41:36,333 ERROR: Encountered non-finite generator loss at iter 24265; skipping update. +2025-11-04 13:41:36,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:36,335 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:36,335 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:36,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:36,336 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.62, mean=-0.1404, std=3.028, absmax=12.99 +2025-11-04 13:41:36,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=11.12, mean=-0.1276, std=2.878, absmax=12.48 +2025-11-04 13:41:36,693 ERROR: Encountered non-finite generator loss at iter 24266; skipping update. +2025-11-04 13:41:36,694 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:36,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:36,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:36,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:36,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=11.84, mean=0.02842, std=2.614, absmax=11.84 +2025-11-04 13:41:36,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=10.57, mean=0.02125, std=2.524, absmax=10.57 +2025-11-04 13:41:37,052 ERROR: Encountered non-finite generator loss at iter 24267; skipping update. +2025-11-04 13:41:37,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:37,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=13.25, mean=-0.09897, std=2.883, absmax=13.25 +2025-11-04 13:41:37,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.909, max=12.27, mean=-0.07168, std=2.723, absmax=12.27 +2025-11-04 13:41:37,412 ERROR: Encountered non-finite generator loss at iter 24268; skipping update. +2025-11-04 13:41:37,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,414 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:37,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=15.64, mean=-0.2781, std=2.999, absmax=15.64 +2025-11-04 13:41:37,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=10.75, mean=-0.2801, std=2.904, absmax=13.65 +2025-11-04 13:41:37,773 ERROR: Encountered non-finite generator loss at iter 24269; skipping update. +2025-11-04 13:41:37,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:37,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:37,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=11.11, mean=-0.1507, std=2.724, absmax=11.75 +2025-11-04 13:41:37,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.27, mean=-0.1406, std=2.59, absmax=11.13 +2025-11-04 13:41:38,133 ERROR: Encountered non-finite generator loss at iter 24270; skipping update. +2025-11-04 13:41:38,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:38,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=11.77, mean=-0.2429, std=2.944, absmax=12.65 +2025-11-04 13:41:38,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=11.91, mean=-0.2297, std=2.732, absmax=12.39 +2025-11-04 13:41:38,494 ERROR: Encountered non-finite generator loss at iter 24271; skipping update. +2025-11-04 13:41:38,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:38,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.55, mean=0.1216, std=3.348, absmax=13.29 +2025-11-04 13:41:38,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.61, mean=0.09784, std=3.067, absmax=11.61 +2025-11-04 13:41:38,854 ERROR: Encountered non-finite generator loss at iter 24272; skipping update. +2025-11-04 13:41:38,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:38,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:38,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.01, mean=-0.2237, std=2.666, absmax=12.92 +2025-11-04 13:41:38,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=10.97, mean=-0.1679, std=2.473, absmax=11.08 +2025-11-04 13:41:39,214 ERROR: Encountered non-finite generator loss at iter 24273; skipping update. +2025-11-04 13:41:39,215 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,216 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,216 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:39,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=12.82, mean=-0.1122, std=2.986, absmax=13.87 +2025-11-04 13:41:39,217 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=10.93, mean=-0.1362, std=2.8, absmax=13.41 +2025-11-04 13:41:39,573 ERROR: Encountered non-finite generator loss at iter 24274; skipping update. +2025-11-04 13:41:39,574 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,575 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,575 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:39,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.6, mean=-0.1479, std=2.939, absmax=13.58 +2025-11-04 13:41:39,577 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=10.39, mean=-0.14, std=2.71, absmax=11.48 +2025-11-04 13:41:39,933 ERROR: Encountered non-finite generator loss at iter 24275; skipping update. +2025-11-04 13:41:39,934 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,935 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:39,936 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:39,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=12.72, mean=-0.1168, std=2.986, absmax=12.72 +2025-11-04 13:41:39,937 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=13.08, mean=-0.1231, std=2.881, absmax=13.08 +2025-11-04 13:41:40,294 ERROR: Encountered non-finite generator loss at iter 24276; skipping update. +2025-11-04 13:41:40,295 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:40,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:40,296 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:40,296 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:40,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=14.23, mean=-0.08289, std=3.372, absmax=14.23 +2025-11-04 13:41:40,297 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=13.33, mean=-0.08957, std=3.099, absmax=13.33 +2025-11-04 13:41:40,654 ERROR: Encountered non-finite generator loss at iter 24277; skipping update. +2025-11-04 13:41:40,655 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:40,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:40,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:40,656 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:40,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.57, mean=-0.09899, std=3.174, absmax=13.57 +2025-11-04 13:41:40,657 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=10.55, mean=-0.09202, std=2.902, absmax=10.99 +2025-11-04 13:41:41,014 ERROR: Encountered non-finite generator loss at iter 24278; skipping update. +2025-11-04 13:41:41,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:41,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.77, max=13.4, mean=-0.1774, std=3.527, absmax=13.77 +2025-11-04 13:41:41,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=12.62, mean=-0.1745, std=3.269, absmax=12.62 +2025-11-04 13:41:41,373 ERROR: Encountered non-finite generator loss at iter 24279; skipping update. +2025-11-04 13:41:41,375 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,375 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,376 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:41,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.96, mean=-0.2278, std=3.449, absmax=13.96 +2025-11-04 13:41:41,377 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=13.34, mean=-0.2166, std=3.186, absmax=13.53 +2025-11-04 13:41:41,733 ERROR: Encountered non-finite generator loss at iter 24280; skipping update. +2025-11-04 13:41:41,735 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,735 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:41,736 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:41,736 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.5, mean=-0.2049, std=3.368, absmax=14.5 +2025-11-04 13:41:41,737 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=13.16, mean=-0.1981, std=3.121, absmax=13.16 +2025-11-04 13:41:42,092 ERROR: Encountered non-finite generator loss at iter 24281; skipping update. +2025-11-04 13:41:42,094 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,094 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,095 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:42,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.25, mean=-0.105, std=2.695, absmax=14.25 +2025-11-04 13:41:42,096 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=12.2, mean=-0.04551, std=2.55, absmax=12.99 +2025-11-04 13:41:42,452 ERROR: Encountered non-finite generator loss at iter 24282; skipping update. +2025-11-04 13:41:42,453 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,454 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:42,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.57, mean=-0.1349, std=2.972, absmax=13.57 +2025-11-04 13:41:42,455 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.89, mean=-0.135, std=2.788, absmax=12.89 +2025-11-04 13:41:42,811 ERROR: Encountered non-finite generator loss at iter 24283; skipping update. +2025-11-04 13:41:42,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:42,814 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:42,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=12.42, mean=-0.1935, std=3.585, absmax=14.85 +2025-11-04 13:41:42,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=11.69, mean=-0.1854, std=3.281, absmax=12.85 +2025-11-04 13:41:43,171 ERROR: Encountered non-finite generator loss at iter 24284; skipping update. +2025-11-04 13:41:43,172 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,173 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,173 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:43,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=10.4, mean=-0.1547, std=2.581, absmax=10.9 +2025-11-04 13:41:43,174 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=9.393, mean=-0.1618, std=2.375, absmax=10.09 +2025-11-04 13:41:43,531 ERROR: Encountered non-finite generator loss at iter 24285; skipping update. +2025-11-04 13:41:43,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:43,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=13.18, mean=-0.1032, std=3.756, absmax=14.75 +2025-11-04 13:41:43,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.36, max=11.8, mean=-0.06403, std=3.474, absmax=14.36 +2025-11-04 13:41:43,890 ERROR: Encountered non-finite generator loss at iter 24286; skipping update. +2025-11-04 13:41:43,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:43,892 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:43,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=12.27, mean=-0.1727, std=2.487, absmax=12.27 +2025-11-04 13:41:43,893 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.962, max=10.73, mean=-0.1967, std=2.365, absmax=10.73 +2025-11-04 13:41:44,249 ERROR: Encountered non-finite generator loss at iter 24287; skipping update. +2025-11-04 13:41:44,250 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,251 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,252 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:44,252 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.55, mean=0.008616, std=2.988, absmax=13.83 +2025-11-04 13:41:44,253 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=12.16, mean=-0.02577, std=2.85, absmax=12.16 +2025-11-04 13:41:44,609 ERROR: Encountered non-finite generator loss at iter 24288; skipping update. +2025-11-04 13:41:44,610 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,611 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,611 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:44,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=13.61, mean=-0.1811, std=2.968, absmax=15.11 +2025-11-04 13:41:44,612 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.88, max=12.93, mean=-0.1394, std=2.684, absmax=13.88 +2025-11-04 13:41:44,969 ERROR: Encountered non-finite generator loss at iter 24289; skipping update. +2025-11-04 13:41:44,970 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:44,971 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:44,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.42, mean=-0.2986, std=2.438, absmax=12.45 +2025-11-04 13:41:44,972 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=9.855, mean=-0.2635, std=2.353, absmax=11.05 +2025-11-04 13:41:45,329 ERROR: Encountered non-finite generator loss at iter 24290; skipping update. +2025-11-04 13:41:45,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:45,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:45,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:45,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:45,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.37, mean=-0.2131, std=2.803, absmax=14.37 +2025-11-04 13:41:45,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=11.33, mean=-0.244, std=2.488, absmax=11.57 +2025-11-04 13:41:45,703 ERROR: Encountered non-finite generator loss at iter 24291; skipping update. +2025-11-04 13:41:45,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:45,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:45,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:45,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:45,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=11.87, mean=-0.298, std=3.355, absmax=12.89 +2025-11-04 13:41:45,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=11.58, mean=-0.2708, std=3.079, absmax=12.66 +2025-11-04 13:41:46,063 ERROR: Encountered non-finite generator loss at iter 24292; skipping update. +2025-11-04 13:41:46,064 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,065 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:46,066 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=10.35, mean=-0.251, std=3.182, absmax=12.14 +2025-11-04 13:41:46,067 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=10.35, mean=-0.2091, std=3.015, absmax=11.75 +2025-11-04 13:41:46,424 ERROR: Encountered non-finite generator loss at iter 24293; skipping update. +2025-11-04 13:41:46,425 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,426 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:46,427 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=15.17, mean=-0.088, std=3.214, absmax=15.17 +2025-11-04 13:41:46,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=12.42, mean=-0.0936, std=3.038, absmax=12.42 +2025-11-04 13:41:46,784 ERROR: Encountered non-finite generator loss at iter 24294; skipping update. +2025-11-04 13:41:46,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:46,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:46,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.86, mean=0.07914, std=2.95, absmax=12.86 +2025-11-04 13:41:46,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.13, max=12.77, mean=0.1212, std=2.835, absmax=12.77 +2025-11-04 13:41:47,144 ERROR: Encountered non-finite generator loss at iter 24295; skipping update. +2025-11-04 13:41:47,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:47,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.52, max=13.22, mean=-0.1039, std=2.876, absmax=17.52 +2025-11-04 13:41:47,147 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=11.51, mean=-0.1143, std=2.617, absmax=12.29 +2025-11-04 13:41:47,504 ERROR: Encountered non-finite generator loss at iter 24296; skipping update. +2025-11-04 13:41:47,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,507 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:47,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.36, mean=-0.202, std=2.858, absmax=14.36 +2025-11-04 13:41:47,508 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=9.644, mean=-0.1917, std=2.587, absmax=10.48 +2025-11-04 13:41:47,864 ERROR: Encountered non-finite generator loss at iter 24297; skipping update. +2025-11-04 13:41:47,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:47,867 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:47,867 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=10.01, mean=-0.2981, std=2.895, absmax=13.59 +2025-11-04 13:41:47,868 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=9.899, mean=-0.268, std=2.7, absmax=12.77 +2025-11-04 13:41:48,225 ERROR: Encountered non-finite generator loss at iter 24298; skipping update. +2025-11-04 13:41:48,226 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,227 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,230 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:48,231 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.22, max=11.37, mean=-0.2803, std=2.547, absmax=11.37 +2025-11-04 13:41:48,231 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=10.63, mean=-0.2577, std=2.408, absmax=10.63 +2025-11-04 13:41:48,588 ERROR: Encountered non-finite generator loss at iter 24299; skipping update. +2025-11-04 13:41:48,589 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,590 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,590 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:48,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.32, mean=-0.2544, std=2.659, absmax=13 +2025-11-04 13:41:48,592 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=11.79, mean=-0.2346, std=2.449, absmax=12.38 +2025-11-04 13:41:48,948 ERROR: Encountered non-finite generator loss at iter 24300; skipping update. +2025-11-04 13:41:48,949 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,949 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,950 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:48,950 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:48,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=15.46, mean=-0.2388, std=3.436, absmax=15.46 +2025-11-04 13:41:48,951 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=13.09, mean=-0.1994, std=3.219, absmax=13.09 +2025-11-04 13:41:48,952 INFO: [38..][epoch: 0, step: 24,300, lr:(2.000e-04,)] [eta: 1 day, 3:48:14, time (data): 0.361 (0.000)] +2025-11-04 13:41:49,308 ERROR: Encountered non-finite generator loss at iter 24301; skipping update. +2025-11-04 13:41:49,309 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:49,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:49,310 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:49,310 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:49,311 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=14.21, mean=0.08768, std=3.708, absmax=14.21 +2025-11-04 13:41:49,311 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=12.97, mean=0.0857, std=3.384, absmax=12.97 +2025-11-04 13:41:49,667 ERROR: Encountered non-finite generator loss at iter 24302; skipping update. +2025-11-04 13:41:49,668 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:49,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:49,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:49,670 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:49,670 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.12, mean=-0.3373, std=3.072, absmax=13.12 +2025-11-04 13:41:49,671 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.38, mean=-0.3036, std=2.892, absmax=12.38 +2025-11-04 13:41:50,027 ERROR: Encountered non-finite generator loss at iter 24303; skipping update. +2025-11-04 13:41:50,029 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,029 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,030 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:50,030 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.32, mean=-0.1769, std=2.671, absmax=11.52 +2025-11-04 13:41:50,031 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.76, max=9.738, mean=-0.1475, std=2.454, absmax=9.76 +2025-11-04 13:41:50,387 ERROR: Encountered non-finite generator loss at iter 24304; skipping update. +2025-11-04 13:41:50,388 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,389 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,390 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:50,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=12.78, mean=-0.2386, std=2.907, absmax=14.11 +2025-11-04 13:41:50,391 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=11.23, mean=-0.2447, std=2.753, absmax=12.63 +2025-11-04 13:41:50,747 ERROR: Encountered non-finite generator loss at iter 24305; skipping update. +2025-11-04 13:41:50,748 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,749 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:50,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:50,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.69, mean=-0.07957, std=3.193, absmax=14.69 +2025-11-04 13:41:50,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=13.58, mean=-0.05876, std=2.973, absmax=13.58 +2025-11-04 13:41:51,107 ERROR: Encountered non-finite generator loss at iter 24306; skipping update. +2025-11-04 13:41:51,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:51,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=15.42, mean=0.0643, std=2.99, absmax=15.42 +2025-11-04 13:41:51,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=11.06, mean=0.07787, std=2.66, absmax=11.69 +2025-11-04 13:41:51,467 ERROR: Encountered non-finite generator loss at iter 24307; skipping update. +2025-11-04 13:41:51,468 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,469 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,469 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:51,470 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.74, mean=-0.1052, std=2.945, absmax=14.74 +2025-11-04 13:41:51,470 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=10.79, mean=-0.1043, std=2.613, absmax=10.79 +2025-11-04 13:41:51,827 ERROR: Encountered non-finite generator loss at iter 24308; skipping update. +2025-11-04 13:41:51,828 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,829 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:51,829 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:51,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=15.54, mean=-0.2531, std=2.761, absmax=15.54 +2025-11-04 13:41:51,830 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=13.33, mean=-0.2444, std=2.605, absmax=13.33 +2025-11-04 13:41:52,186 ERROR: Encountered non-finite generator loss at iter 24309; skipping update. +2025-11-04 13:41:52,188 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,189 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:52,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.03, mean=-0.1426, std=3.172, absmax=13.29 +2025-11-04 13:41:52,190 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=13.16, mean=-0.1386, std=3.13, absmax=13.16 +2025-11-04 13:41:52,547 ERROR: Encountered non-finite generator loss at iter 24310; skipping update. +2025-11-04 13:41:52,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,549 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:52,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=14.91, mean=-0.09327, std=3.107, absmax=14.91 +2025-11-04 13:41:52,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=13.85, mean=-0.09287, std=2.966, absmax=13.85 +2025-11-04 13:41:52,907 ERROR: Encountered non-finite generator loss at iter 24311; skipping update. +2025-11-04 13:41:52,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,909 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:52,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:52,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.8, mean=-0.1654, std=2.769, absmax=11.8 +2025-11-04 13:41:52,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=9.806, mean=-0.2145, std=2.729, absmax=11.22 +2025-11-04 13:41:53,269 ERROR: Encountered non-finite generator loss at iter 24312; skipping update. +2025-11-04 13:41:53,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,270 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,271 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:53,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=11.4, mean=-0.2859, std=2.88, absmax=13.24 +2025-11-04 13:41:53,272 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.39, max=9.296, mean=-0.2624, std=2.862, absmax=13.39 +2025-11-04 13:41:53,630 ERROR: Encountered non-finite generator loss at iter 24313; skipping update. +2025-11-04 13:41:53,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:53,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.32, mean=-0.1738, std=3.318, absmax=12.75 +2025-11-04 13:41:53,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.28, mean=-0.1435, std=2.969, absmax=11.39 +2025-11-04 13:41:53,990 ERROR: Encountered non-finite generator loss at iter 24314; skipping update. +2025-11-04 13:41:53,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:53,993 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:53,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=12.89, mean=-0.2666, std=3.474, absmax=13.55 +2025-11-04 13:41:53,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=12.24, mean=-0.2509, std=3.133, absmax=12.8 +2025-11-04 13:41:54,350 ERROR: Encountered non-finite generator loss at iter 24315; skipping update. +2025-11-04 13:41:54,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:54,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:54,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:54,353 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:54,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=10.03, mean=-0.2592, std=2.85, absmax=12.78 +2025-11-04 13:41:54,354 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=9.533, mean=-0.2754, std=2.697, absmax=12.11 +2025-11-04 13:41:54,711 ERROR: Encountered non-finite generator loss at iter 24316; skipping update. +2025-11-04 13:41:54,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:54,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:54,713 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:54,714 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:54,714 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=14.42, mean=-0.1008, std=3.382, absmax=14.42 +2025-11-04 13:41:54,715 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.04, max=13.41, mean=-0.09507, std=3.185, absmax=13.41 +2025-11-04 13:41:55,071 ERROR: Encountered non-finite generator loss at iter 24317; skipping update. +2025-11-04 13:41:55,073 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,073 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,074 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:55,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=13.57, mean=-0.07765, std=2.738, absmax=13.57 +2025-11-04 13:41:55,075 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.78, mean=-0.06213, std=2.515, absmax=11.78 +2025-11-04 13:41:55,432 ERROR: Encountered non-finite generator loss at iter 24318; skipping update. +2025-11-04 13:41:55,433 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:55,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=9.726, mean=-0.2635, std=2.471, absmax=11.52 +2025-11-04 13:41:55,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=8.573, mean=-0.29, std=2.338, absmax=11.1 +2025-11-04 13:41:55,792 ERROR: Encountered non-finite generator loss at iter 24319; skipping update. +2025-11-04 13:41:55,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:55,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:55,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=12.54, mean=0.0002167, std=2.695, absmax=12.54 +2025-11-04 13:41:55,795 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.262, max=9.337, mean=-0.0339, std=2.45, absmax=9.337 +2025-11-04 13:41:56,152 ERROR: Encountered non-finite generator loss at iter 24320; skipping update. +2025-11-04 13:41:56,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,155 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:56,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=14.02, mean=-0.1105, std=2.776, absmax=14.02 +2025-11-04 13:41:56,156 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=11.85, mean=-0.1489, std=2.487, absmax=11.85 +2025-11-04 13:41:56,512 ERROR: Encountered non-finite generator loss at iter 24321; skipping update. +2025-11-04 13:41:56,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:56,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.19, mean=-0.2217, std=3.173, absmax=12.85 +2025-11-04 13:41:56,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.33, max=11.34, mean=-0.1994, std=2.916, absmax=13.33 +2025-11-04 13:41:56,871 ERROR: Encountered non-finite generator loss at iter 24322; skipping update. +2025-11-04 13:41:56,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:56,874 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:56,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=12.6, mean=-0.1962, std=3.057, absmax=12.6 +2025-11-04 13:41:56,875 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.35, mean=-0.1754, std=2.844, absmax=11.35 +2025-11-04 13:41:57,232 ERROR: Encountered non-finite generator loss at iter 24323; skipping update. +2025-11-04 13:41:57,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:57,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=13.85, mean=-0.09092, std=2.841, absmax=14.15 +2025-11-04 13:41:57,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.53, max=12.13, mean=-0.1164, std=2.614, absmax=14.53 +2025-11-04 13:41:57,592 ERROR: Encountered non-finite generator loss at iter 24324; skipping update. +2025-11-04 13:41:57,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:57,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=15.33, mean=-0.1429, std=2.817, absmax=15.33 +2025-11-04 13:41:57,594 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=14.45, mean=-0.1166, std=2.682, absmax=14.45 +2025-11-04 13:41:57,952 ERROR: Encountered non-finite generator loss at iter 24325; skipping update. +2025-11-04 13:41:57,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:57,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:57,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.79, mean=-0.2963, std=2.633, absmax=13.79 +2025-11-04 13:41:57,955 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=12.26, mean=-0.3061, std=2.49, absmax=12.26 +2025-11-04 13:41:58,311 ERROR: Encountered non-finite generator loss at iter 24326; skipping update. +2025-11-04 13:41:58,312 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:58,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:58,313 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:58,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:58,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.95, mean=-0.08574, std=3.114, absmax=12.95 +2025-11-04 13:41:58,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.98, mean=-0.05893, std=2.804, absmax=11.46 +2025-11-04 13:41:58,672 ERROR: Encountered non-finite generator loss at iter 24327; skipping update. +2025-11-04 13:41:58,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:58,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:58,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:58,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:58,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=15.05, mean=-0.2116, std=2.996, absmax=15.05 +2025-11-04 13:41:58,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.85, mean=-0.185, std=2.791, absmax=12.85 +2025-11-04 13:41:59,032 ERROR: Encountered non-finite generator loss at iter 24328; skipping update. +2025-11-04 13:41:59,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:59,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=13.07, mean=-0.07079, std=2.943, absmax=13.07 +2025-11-04 13:41:59,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=12.25, mean=-0.1207, std=2.715, absmax=12.25 +2025-11-04 13:41:59,392 ERROR: Encountered non-finite generator loss at iter 24329; skipping update. +2025-11-04 13:41:59,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,394 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,395 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:59,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.97, max=13.66, mean=-0.1787, std=3.307, absmax=16.97 +2025-11-04 13:41:59,396 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.76, max=13.89, mean=-0.181, std=3.186, absmax=15.76 +2025-11-04 13:41:59,752 ERROR: Encountered non-finite generator loss at iter 24330; skipping update. +2025-11-04 13:41:59,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:41:59,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:41:59,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=14.55, mean=-0.01434, std=3.485, absmax=14.55 +2025-11-04 13:41:59,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=13.45, mean=-0.02355, std=3.384, absmax=13.45 +2025-11-04 13:42:00,113 ERROR: Encountered non-finite generator loss at iter 24331; skipping update. +2025-11-04 13:42:00,114 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,115 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,116 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:00,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.53, mean=-0.1381, std=3.064, absmax=12.53 +2025-11-04 13:42:00,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=11.85, mean=-0.1777, std=2.808, absmax=12.35 +2025-11-04 13:42:00,474 ERROR: Encountered non-finite generator loss at iter 24332; skipping update. +2025-11-04 13:42:00,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,476 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,476 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:00,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=14.31, mean=-0.3838, std=3.116, absmax=14.31 +2025-11-04 13:42:00,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=13.44, mean=-0.3304, std=2.992, absmax=13.44 +2025-11-04 13:42:00,835 ERROR: Encountered non-finite generator loss at iter 24333; skipping update. +2025-11-04 13:42:00,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,836 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:00,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:00,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=12.37, mean=-0.2086, std=3.53, absmax=13.85 +2025-11-04 13:42:00,838 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.4, max=10.9, mean=-0.1924, std=3.323, absmax=13.4 +2025-11-04 13:42:01,196 ERROR: Encountered non-finite generator loss at iter 24334; skipping update. +2025-11-04 13:42:01,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,199 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:01,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.76, max=11.76, mean=-0.2614, std=2.943, absmax=14.76 +2025-11-04 13:42:01,200 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.75, max=10.6, mean=-0.2585, std=2.779, absmax=13.75 +2025-11-04 13:42:01,556 ERROR: Encountered non-finite generator loss at iter 24335; skipping update. +2025-11-04 13:42:01,558 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,559 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:01,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=15.17, mean=-0.168, std=3.208, absmax=15.17 +2025-11-04 13:42:01,560 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.56, max=11.58, mean=-0.1664, std=2.874, absmax=13.56 +2025-11-04 13:42:01,916 ERROR: Encountered non-finite generator loss at iter 24336; skipping update. +2025-11-04 13:42:01,918 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:01,919 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:01,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.07, mean=-0.04581, std=2.919, absmax=13.07 +2025-11-04 13:42:01,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.5, mean=-0.008004, std=2.679, absmax=11.5 +2025-11-04 13:42:02,276 ERROR: Encountered non-finite generator loss at iter 24337; skipping update. +2025-11-04 13:42:02,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:02,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.52, max=14.21, mean=-0.1156, std=2.77, absmax=15.52 +2025-11-04 13:42:02,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=13.87, mean=-0.1001, std=2.601, absmax=13.87 +2025-11-04 13:42:02,637 ERROR: Encountered non-finite generator loss at iter 24338; skipping update. +2025-11-04 13:42:02,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:02,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=11.25, mean=-0.2002, std=3.083, absmax=12.78 +2025-11-04 13:42:02,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=10.29, mean=-0.2116, std=2.884, absmax=11.95 +2025-11-04 13:42:02,996 ERROR: Encountered non-finite generator loss at iter 24339; skipping update. +2025-11-04 13:42:02,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:02,999 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:02,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=15.02, mean=-0.09603, std=3.765, absmax=15.02 +2025-11-04 13:42:03,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=13.76, mean=-0.09389, std=3.495, absmax=13.76 +2025-11-04 13:42:03,357 ERROR: Encountered non-finite generator loss at iter 24340; skipping update. +2025-11-04 13:42:03,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:03,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:03,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:03,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:03,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=14.18, mean=-0.08974, std=3.109, absmax=14.18 +2025-11-04 13:42:03,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=14.45, mean=-0.04721, std=2.917, absmax=14.45 +2025-11-04 13:42:03,717 ERROR: Encountered non-finite generator loss at iter 24341; skipping update. +2025-11-04 13:42:03,718 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:03,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:03,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:03,719 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:03,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.68, max=15.72, mean=-0.316, std=3.374, absmax=16.68 +2025-11-04 13:42:03,720 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=11.17, mean=-0.2902, std=3.054, absmax=13.26 +2025-11-04 13:42:04,077 ERROR: Encountered non-finite generator loss at iter 24342; skipping update. +2025-11-04 13:42:04,078 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,078 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:04,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.96, mean=0.04286, std=3.184, absmax=12.96 +2025-11-04 13:42:04,080 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=12.04, mean=0.04752, std=2.91, absmax=12.04 +2025-11-04 13:42:04,436 ERROR: Encountered non-finite generator loss at iter 24343; skipping update. +2025-11-04 13:42:04,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,439 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:04,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=16.8, mean=-0.3234, std=2.922, absmax=16.8 +2025-11-04 13:42:04,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=12.94, mean=-0.2894, std=2.794, absmax=12.94 +2025-11-04 13:42:04,796 ERROR: Encountered non-finite generator loss at iter 24344; skipping update. +2025-11-04 13:42:04,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:04,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:04,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=14.67, mean=-0.3722, std=2.895, absmax=14.67 +2025-11-04 13:42:04,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=12.64, mean=-0.3752, std=2.739, absmax=12.64 +2025-11-04 13:42:05,156 ERROR: Encountered non-finite generator loss at iter 24345; skipping update. +2025-11-04 13:42:05,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,158 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:05,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=11.94, mean=-0.1188, std=3.118, absmax=12.71 +2025-11-04 13:42:05,159 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=10.75, mean=-0.1189, std=2.828, absmax=11.15 +2025-11-04 13:42:05,520 ERROR: Encountered non-finite generator loss at iter 24346; skipping update. +2025-11-04 13:42:05,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,522 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,522 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:05,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=15.06, mean=0.1246, std=3.811, absmax=15.06 +2025-11-04 13:42:05,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=15.01, mean=0.1568, std=3.654, absmax=15.01 +2025-11-04 13:42:05,883 ERROR: Encountered non-finite generator loss at iter 24347; skipping update. +2025-11-04 13:42:05,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:05,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:05,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=17.36, mean=0.001201, std=3.394, absmax=17.36 +2025-11-04 13:42:05,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=14.82, mean=-0.01502, std=3.136, absmax=14.82 +2025-11-04 13:42:06,245 ERROR: Encountered non-finite generator loss at iter 24348; skipping update. +2025-11-04 13:42:06,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,247 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:06,248 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=15.13, mean=-0.0005258, std=2.938, absmax=15.13 +2025-11-04 13:42:06,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=12.58, mean=0.01644, std=2.691, absmax=12.58 +2025-11-04 13:42:06,606 ERROR: Encountered non-finite generator loss at iter 24349; skipping update. +2025-11-04 13:42:06,607 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,607 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,608 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,608 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:06,608 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=14.74, mean=0.4059, std=4.105, absmax=14.74 +2025-11-04 13:42:06,609 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.62, max=13.55, mean=0.3797, std=3.759, absmax=15.62 +2025-11-04 13:42:06,966 ERROR: Encountered non-finite generator loss at iter 24350; skipping update. +2025-11-04 13:42:06,967 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,968 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:06,968 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:06,969 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.33, mean=-0.06955, std=3.211, absmax=14.12 +2025-11-04 13:42:06,969 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=12.82, mean=-0.02045, std=3.029, absmax=12.82 +2025-11-04 13:42:07,327 ERROR: Encountered non-finite generator loss at iter 24351; skipping update. +2025-11-04 13:42:07,328 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:07,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:07,329 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:07,329 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:07,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.98, max=12.48, mean=-0.2618, std=3.126, absmax=12.48 +2025-11-04 13:42:07,330 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=10.81, mean=-0.2367, std=2.931, absmax=11.85 +2025-11-04 13:42:07,687 ERROR: Encountered non-finite generator loss at iter 24352; skipping update. +2025-11-04 13:42:07,688 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:07,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:07,689 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:07,689 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:07,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=15.05, mean=0.02821, std=3.607, absmax=15.05 +2025-11-04 13:42:07,690 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=13.88, mean=0.03781, std=3.344, absmax=13.88 +2025-11-04 13:42:08,048 ERROR: Encountered non-finite generator loss at iter 24353; skipping update. +2025-11-04 13:42:08,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,050 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:08,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=11.2, mean=-0.1588, std=2.854, absmax=11.73 +2025-11-04 13:42:08,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=10.79, mean=-0.1324, std=2.762, absmax=10.88 +2025-11-04 13:42:08,408 ERROR: Encountered non-finite generator loss at iter 24354; skipping update. +2025-11-04 13:42:08,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,410 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,410 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:08,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=12.82, mean=-0.2799, std=3.315, absmax=13.62 +2025-11-04 13:42:08,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.55, mean=-0.2585, std=3.06, absmax=12.42 +2025-11-04 13:42:08,768 ERROR: Encountered non-finite generator loss at iter 24355; skipping update. +2025-11-04 13:42:08,770 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,770 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:08,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:08,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=11.77, mean=-0.161, std=2.685, absmax=11.77 +2025-11-04 13:42:08,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=10.9, mean=-0.139, std=2.515, absmax=10.9 +2025-11-04 13:42:09,129 ERROR: Encountered non-finite generator loss at iter 24356; skipping update. +2025-11-04 13:42:09,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,131 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,131 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:09,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.23, mean=-0.08056, std=2.774, absmax=13.23 +2025-11-04 13:42:09,132 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=11.24, mean=-0.08554, std=2.482, absmax=11.24 +2025-11-04 13:42:09,489 ERROR: Encountered non-finite generator loss at iter 24357; skipping update. +2025-11-04 13:42:09,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,491 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:09,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=13.98, mean=-0.1414, std=3.204, absmax=13.98 +2025-11-04 13:42:09,493 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=12.19, mean=-0.1495, std=2.932, absmax=12.19 +2025-11-04 13:42:09,849 ERROR: Encountered non-finite generator loss at iter 24358; skipping update. +2025-11-04 13:42:09,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:09,850 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:09,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.05, mean=-0.005992, std=3.105, absmax=14.22 +2025-11-04 13:42:09,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=11.55, mean=-0.0003906, std=3.054, absmax=13.66 +2025-11-04 13:42:10,208 ERROR: Encountered non-finite generator loss at iter 24359; skipping update. +2025-11-04 13:42:10,209 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,210 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:10,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.89, max=15.17, mean=-0.02532, std=3.835, absmax=15.17 +2025-11-04 13:42:10,211 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.31, max=13.45, mean=-0.03119, std=3.476, absmax=14.31 +2025-11-04 13:42:10,568 ERROR: Encountered non-finite generator loss at iter 24360; skipping update. +2025-11-04 13:42:10,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:10,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.86, mean=-0.2203, std=3.014, absmax=14.86 +2025-11-04 13:42:10,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=13.46, mean=-0.1694, std=2.791, absmax=13.46 +2025-11-04 13:42:10,928 ERROR: Encountered non-finite generator loss at iter 24361; skipping update. +2025-11-04 13:42:10,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:10,931 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:10,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=9.785, mean=-0.252, std=2.429, absmax=11.77 +2025-11-04 13:42:10,932 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=9.105, mean=-0.2218, std=2.301, absmax=10.44 +2025-11-04 13:42:11,288 ERROR: Encountered non-finite generator loss at iter 24362; skipping update. +2025-11-04 13:42:11,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:11,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:11,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:11,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:11,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.81, mean=-0.02256, std=2.69, absmax=14.81 +2025-11-04 13:42:11,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=11.74, mean=-0.05278, std=2.459, absmax=11.84 +2025-11-04 13:42:11,648 ERROR: Encountered non-finite generator loss at iter 24363; skipping update. +2025-11-04 13:42:11,649 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:11,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:11,650 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:11,650 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:11,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.52, mean=-0.09696, std=2.806, absmax=12.52 +2025-11-04 13:42:11,651 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=10.83, mean=-0.07733, std=2.603, absmax=11.4 +2025-11-04 13:42:12,008 ERROR: Encountered non-finite generator loss at iter 24364; skipping update. +2025-11-04 13:42:12,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,010 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:12,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.51, mean=-0.1379, std=2.972, absmax=13.51 +2025-11-04 13:42:12,011 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=13.11, mean=-0.127, std=2.795, absmax=13.11 +2025-11-04 13:42:12,368 ERROR: Encountered non-finite generator loss at iter 24365; skipping update. +2025-11-04 13:42:12,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,369 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:12,370 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.85, mean=-0.08638, std=3.582, absmax=13.85 +2025-11-04 13:42:12,371 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=13.44, mean=-0.08075, std=3.342, absmax=13.44 +2025-11-04 13:42:12,728 ERROR: Encountered non-finite generator loss at iter 24366; skipping update. +2025-11-04 13:42:12,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:12,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:12,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=13.21, mean=-0.05487, std=3.234, absmax=14.08 +2025-11-04 13:42:12,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.38, max=10.47, mean=-0.05203, std=3.014, absmax=13.38 +2025-11-04 13:42:13,087 ERROR: Encountered non-finite generator loss at iter 24367; skipping update. +2025-11-04 13:42:13,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:13,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.6, mean=-0.1503, std=2.464, absmax=12.6 +2025-11-04 13:42:13,091 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=10.58, mean=-0.1447, std=2.26, absmax=11.19 +2025-11-04 13:42:13,448 ERROR: Encountered non-finite generator loss at iter 24368; skipping update. +2025-11-04 13:42:13,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,449 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,450 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:13,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.69, mean=-0.1043, std=3.485, absmax=13.84 +2025-11-04 13:42:13,451 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.42, max=12.35, mean=-0.07548, std=3.307, absmax=13.42 +2025-11-04 13:42:13,808 ERROR: Encountered non-finite generator loss at iter 24369; skipping update. +2025-11-04 13:42:13,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:13,810 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:13,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.46, mean=-0.2764, std=2.835, absmax=13.46 +2025-11-04 13:42:13,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.39, mean=-0.2868, std=2.669, absmax=11.28 +2025-11-04 13:42:14,168 ERROR: Encountered non-finite generator loss at iter 24370; skipping update. +2025-11-04 13:42:14,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:14,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.14, mean=-0.1347, std=2.992, absmax=14.77 +2025-11-04 13:42:14,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.27, mean=-0.1117, std=2.756, absmax=12.27 +2025-11-04 13:42:14,528 ERROR: Encountered non-finite generator loss at iter 24371; skipping update. +2025-11-04 13:42:14,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,529 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:14,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=15.94, mean=-0.2807, std=2.927, absmax=15.94 +2025-11-04 13:42:14,531 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=15.26, mean=-0.2255, std=2.788, absmax=15.26 +2025-11-04 13:42:14,887 ERROR: Encountered non-finite generator loss at iter 24372; skipping update. +2025-11-04 13:42:14,888 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:14,889 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:14,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.76, max=13.75, mean=-0.09035, std=3.218, absmax=15.76 +2025-11-04 13:42:14,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14, max=12.94, mean=-0.09444, std=3.045, absmax=14 +2025-11-04 13:42:15,248 ERROR: Encountered non-finite generator loss at iter 24373; skipping update. +2025-11-04 13:42:15,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,249 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:15,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.17, mean=-0.00626, std=3.235, absmax=13.17 +2025-11-04 13:42:15,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.64, mean=-0.02697, std=3.001, absmax=12.64 +2025-11-04 13:42:15,624 ERROR: Encountered non-finite generator loss at iter 24374; skipping update. +2025-11-04 13:42:15,625 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,626 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,626 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:15,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=12.55, mean=-0.1076, std=3.444, absmax=13.99 +2025-11-04 13:42:15,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=11.39, mean=-0.1029, std=3.056, absmax=11.44 +2025-11-04 13:42:15,988 ERROR: Encountered non-finite generator loss at iter 24375; skipping update. +2025-11-04 13:42:15,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:15,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:15,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=11.42, mean=-0.1199, std=2.898, absmax=14.16 +2025-11-04 13:42:16,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=10.05, mean=-0.1154, std=2.672, absmax=11.12 +2025-11-04 13:42:16,385 ERROR: Encountered non-finite generator loss at iter 24376; skipping update. +2025-11-04 13:42:16,386 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:16,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:16,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:16,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:16,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=18.67, mean=-0.1085, std=3.225, absmax=18.67 +2025-11-04 13:42:16,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=16.88, mean=-0.1149, std=3.047, absmax=16.88 +2025-11-04 13:42:16,752 ERROR: Encountered non-finite generator loss at iter 24377; skipping update. +2025-11-04 13:42:16,760 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:16,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:16,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:16,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:16,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=10.54, mean=-0.1424, std=2.785, absmax=11.16 +2025-11-04 13:42:16,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=10.22, mean=-0.09335, std=2.605, absmax=10.54 +2025-11-04 13:42:17,177 ERROR: Encountered non-finite generator loss at iter 24378; skipping update. +2025-11-04 13:42:17,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:17,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:17,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:17,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:17,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=14.91, mean=-0.1799, std=2.946, absmax=14.91 +2025-11-04 13:42:17,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=13.63, mean=-0.1958, std=2.678, absmax=13.63 +2025-11-04 13:42:17,542 ERROR: Encountered non-finite generator loss at iter 24379; skipping update. +2025-11-04 13:42:17,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:17,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:17,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:17,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:17,562 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.22, mean=-0.1553, std=3.333, absmax=13.29 +2025-11-04 13:42:17,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=10.48, mean=-0.1654, std=3.051, absmax=11.42 +2025-11-04 13:42:18,101 ERROR: Encountered non-finite generator loss at iter 24380; skipping update. +2025-11-04 13:42:18,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:18,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.25, mean=-0.2196, std=3.111, absmax=13.25 +2025-11-04 13:42:18,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.79, mean=-0.202, std=2.747, absmax=11.2 +2025-11-04 13:42:18,461 ERROR: Encountered non-finite generator loss at iter 24381; skipping update. +2025-11-04 13:42:18,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,463 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,464 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:18,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=10.72, mean=-0.2668, std=2.557, absmax=12.3 +2025-11-04 13:42:18,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=11.23, mean=-0.2312, std=2.445, absmax=11.23 +2025-11-04 13:42:18,822 ERROR: Encountered non-finite generator loss at iter 24382; skipping update. +2025-11-04 13:42:18,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:18,824 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:18,825 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=13.67, mean=-0.1993, std=3.065, absmax=13.67 +2025-11-04 13:42:18,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.14, mean=-0.1969, std=2.818, absmax=12.14 +2025-11-04 13:42:19,183 ERROR: Encountered non-finite generator loss at iter 24383; skipping update. +2025-11-04 13:42:19,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:19,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=11.31, mean=-0.1058, std=2.657, absmax=11.72 +2025-11-04 13:42:19,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=9.807, mean=-0.09225, std=2.421, absmax=10.01 +2025-11-04 13:42:19,543 ERROR: Encountered non-finite generator loss at iter 24384; skipping update. +2025-11-04 13:42:19,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:19,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=14.32, mean=-0.1296, std=3.082, absmax=14.32 +2025-11-04 13:42:19,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=12.75, mean=-0.1459, std=2.709, absmax=12.75 +2025-11-04 13:42:19,904 ERROR: Encountered non-finite generator loss at iter 24385; skipping update. +2025-11-04 13:42:19,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:19,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:19,907 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=10.57, mean=-0.2592, std=2.61, absmax=12.36 +2025-11-04 13:42:19,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=9.864, mean=-0.221, std=2.46, absmax=11.48 +2025-11-04 13:42:20,264 ERROR: Encountered non-finite generator loss at iter 24386; skipping update. +2025-11-04 13:42:20,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:20,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.12, mean=-0.2536, std=3.041, absmax=13.29 +2025-11-04 13:42:20,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=11.54, mean=-0.2214, std=2.774, absmax=12.26 +2025-11-04 13:42:20,625 ERROR: Encountered non-finite generator loss at iter 24387; skipping update. +2025-11-04 13:42:20,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,627 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:20,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.49, mean=-0.04273, std=2.949, absmax=13.49 +2025-11-04 13:42:20,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=11.22, mean=-0.006841, std=2.718, absmax=11.22 +2025-11-04 13:42:20,985 ERROR: Encountered non-finite generator loss at iter 24388; skipping update. +2025-11-04 13:42:20,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:20,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:20,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=12.01, mean=-0.2155, std=2.964, absmax=13.22 +2025-11-04 13:42:20,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=11.8, mean=-0.2388, std=2.636, absmax=12.77 +2025-11-04 13:42:21,345 ERROR: Encountered non-finite generator loss at iter 24389; skipping update. +2025-11-04 13:42:21,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:21,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:21,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:21,348 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:21,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=19.15, mean=-0.09696, std=3.132, absmax=19.15 +2025-11-04 13:42:21,349 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=15.64, mean=-0.1365, std=2.917, absmax=15.64 +2025-11-04 13:42:21,706 ERROR: Encountered non-finite generator loss at iter 24390; skipping update. +2025-11-04 13:42:21,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:21,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:21,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:21,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:21,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=12.5, mean=-0.2236, std=3.15, absmax=14.24 +2025-11-04 13:42:21,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=8.879, mean=-0.2196, std=2.997, absmax=12.32 +2025-11-04 13:42:22,066 ERROR: Encountered non-finite generator loss at iter 24391; skipping update. +2025-11-04 13:42:22,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,068 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:22,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=15.52, mean=-0.1238, std=3.024, absmax=15.52 +2025-11-04 13:42:22,069 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=14.16, mean=-0.117, std=2.793, absmax=14.16 +2025-11-04 13:42:22,426 ERROR: Encountered non-finite generator loss at iter 24392; skipping update. +2025-11-04 13:42:22,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:22,429 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.94, mean=-0.0983, std=3.195, absmax=13.94 +2025-11-04 13:42:22,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=13.9, mean=-0.111, std=3.12, absmax=13.9 +2025-11-04 13:42:22,787 ERROR: Encountered non-finite generator loss at iter 24393; skipping update. +2025-11-04 13:42:22,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:22,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:22,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=11.69, mean=-0.02922, std=2.95, absmax=11.69 +2025-11-04 13:42:22,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.388, max=9.702, mean=-0.0541, std=2.678, absmax=9.702 +2025-11-04 13:42:23,147 ERROR: Encountered non-finite generator loss at iter 24394; skipping update. +2025-11-04 13:42:23,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:23,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=14.36, mean=0.07894, std=3.488, absmax=14.36 +2025-11-04 13:42:23,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=13.65, mean=0.06204, std=3.179, absmax=13.65 +2025-11-04 13:42:23,508 ERROR: Encountered non-finite generator loss at iter 24395; skipping update. +2025-11-04 13:42:23,509 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,510 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,510 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:23,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=10.42, mean=-0.2087, std=2.855, absmax=13.55 +2025-11-04 13:42:23,511 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=10.22, mean=-0.2077, std=2.603, absmax=12.04 +2025-11-04 13:42:23,868 ERROR: Encountered non-finite generator loss at iter 24396; skipping update. +2025-11-04 13:42:23,869 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,870 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:23,870 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:23,871 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.2, mean=-0.2307, std=3.06, absmax=13.26 +2025-11-04 13:42:23,872 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=12.15, mean=-0.2333, std=2.889, absmax=12.15 +2025-11-04 13:42:24,229 ERROR: Encountered non-finite generator loss at iter 24397; skipping update. +2025-11-04 13:42:24,230 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,231 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,231 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:24,232 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.54, max=11.37, mean=-0.412, std=3.06, absmax=14.54 +2025-11-04 13:42:24,232 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=9.709, mean=-0.403, std=2.841, absmax=13.24 +2025-11-04 13:42:24,589 ERROR: Encountered non-finite generator loss at iter 24398; skipping update. +2025-11-04 13:42:24,590 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,590 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,591 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,591 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:24,592 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=11.84, mean=-0.3726, std=3.304, absmax=13.32 +2025-11-04 13:42:24,592 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=10.7, mean=-0.4087, std=3.157, absmax=12.56 +2025-11-04 13:42:24,949 ERROR: Encountered non-finite generator loss at iter 24399; skipping update. +2025-11-04 13:42:24,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,951 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:24,951 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:24,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.06, mean=-0.2333, std=3.335, absmax=13.27 +2025-11-04 13:42:24,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=10.66, mean=-0.2302, std=3.136, absmax=12.33 +2025-11-04 13:42:25,310 ERROR: Encountered non-finite generator loss at iter 24400; skipping update. +2025-11-04 13:42:25,311 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:25,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:25,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:25,312 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:25,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.21, mean=-0.01955, std=2.802, absmax=13.21 +2025-11-04 13:42:25,313 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=10.92, mean=-0.01598, std=2.594, absmax=11.1 +2025-11-04 13:42:25,314 INFO: [38..][epoch: 0, step: 24,400, lr:(2.000e-04,)] [eta: 1 day, 3:42:15, time (data): 0.365 (0.000)] +2025-11-04 13:42:25,669 ERROR: Encountered non-finite generator loss at iter 24401; skipping update. +2025-11-04 13:42:25,671 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:25,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:25,671 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:25,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:25,672 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=11.77, mean=-0.08216, std=2.838, absmax=13.66 +2025-11-04 13:42:25,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=9.795, mean=-0.0467, std=2.572, absmax=12.01 +2025-11-04 13:42:26,030 ERROR: Encountered non-finite generator loss at iter 24402; skipping update. +2025-11-04 13:42:26,031 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,032 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,032 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:26,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=15.59, mean=0.07678, std=3.722, absmax=15.59 +2025-11-04 13:42:26,033 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=15.1, mean=0.08714, std=3.529, absmax=15.1 +2025-11-04 13:42:26,390 ERROR: Encountered non-finite generator loss at iter 24403; skipping update. +2025-11-04 13:42:26,391 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,391 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,392 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,392 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:26,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=13.75, mean=-0.07501, std=3.425, absmax=13.75 +2025-11-04 13:42:26,393 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.52, max=13.06, mean=-0.03848, std=3.283, absmax=13.06 +2025-11-04 13:42:26,750 ERROR: Encountered non-finite generator loss at iter 24404; skipping update. +2025-11-04 13:42:26,751 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:26,752 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:26,753 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=16.51, mean=-0.3323, std=2.671, absmax=16.51 +2025-11-04 13:42:26,753 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.39, mean=-0.3114, std=2.457, absmax=12.39 +2025-11-04 13:42:27,109 ERROR: Encountered non-finite generator loss at iter 24405; skipping update. +2025-11-04 13:42:27,111 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,111 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,112 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:27,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.97, max=12.72, mean=0.007211, std=2.999, absmax=12.72 +2025-11-04 13:42:27,113 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=12.1, mean=0.02637, std=2.86, absmax=12.1 +2025-11-04 13:42:27,469 ERROR: Encountered non-finite generator loss at iter 24406; skipping update. +2025-11-04 13:42:27,470 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,471 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,471 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:27,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=12.67, mean=-0.281, std=2.976, absmax=12.67 +2025-11-04 13:42:27,472 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=11.11, mean=-0.3152, std=3.001, absmax=11.19 +2025-11-04 13:42:27,828 ERROR: Encountered non-finite generator loss at iter 24407; skipping update. +2025-11-04 13:42:27,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,830 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:27,831 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:27,831 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=15.63, mean=-0.3098, std=3.194, absmax=15.63 +2025-11-04 13:42:27,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=12.69, mean=-0.3143, std=2.915, absmax=12.69 +2025-11-04 13:42:28,188 ERROR: Encountered non-finite generator loss at iter 24408; skipping update. +2025-11-04 13:42:28,189 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,190 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,190 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:28,191 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.92, mean=-0.1167, std=2.905, absmax=12.92 +2025-11-04 13:42:28,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.65, mean=-0.1088, std=2.723, absmax=11.31 +2025-11-04 13:42:28,548 ERROR: Encountered non-finite generator loss at iter 24409; skipping update. +2025-11-04 13:42:28,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,550 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:28,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=11.42, mean=-0.1739, std=2.608, absmax=11.42 +2025-11-04 13:42:28,551 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=10.71, mean=-0.1552, std=2.455, absmax=11.39 +2025-11-04 13:42:28,908 ERROR: Encountered non-finite generator loss at iter 24410; skipping update. +2025-11-04 13:42:28,909 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:28,911 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:28,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=13.53, mean=-0.2632, std=3.534, absmax=14.96 +2025-11-04 13:42:28,912 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.31, max=10.75, mean=-0.2554, std=3.281, absmax=13.31 +2025-11-04 13:42:29,268 ERROR: Encountered non-finite generator loss at iter 24411; skipping update. +2025-11-04 13:42:29,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,270 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,270 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:29,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=13.77, mean=-0.0136, std=3.327, absmax=13.83 +2025-11-04 13:42:29,272 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=11.78, mean=-0.08376, std=3.042, absmax=12.06 +2025-11-04 13:42:29,628 ERROR: Encountered non-finite generator loss at iter 24412; skipping update. +2025-11-04 13:42:29,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,631 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:29,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.98, mean=-0.2332, std=2.687, absmax=13.12 +2025-11-04 13:42:29,632 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=12.22, mean=-0.2299, std=2.569, absmax=12.22 +2025-11-04 13:42:29,988 ERROR: Encountered non-finite generator loss at iter 24413; skipping update. +2025-11-04 13:42:29,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:29,991 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:29,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=13.66, mean=-0.2655, std=3.111, absmax=14.14 +2025-11-04 13:42:29,992 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.94, max=11.33, mean=-0.2582, std=2.919, absmax=14.94 +2025-11-04 13:42:30,348 ERROR: Encountered non-finite generator loss at iter 24414; skipping update. +2025-11-04 13:42:30,349 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:30,349 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:30,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:30,350 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:30,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=15.58, mean=-0.05382, std=3.461, absmax=15.58 +2025-11-04 13:42:30,351 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.61, max=15.02, mean=-0.05051, std=3.284, absmax=15.02 +2025-11-04 13:42:30,707 ERROR: Encountered non-finite generator loss at iter 24415; skipping update. +2025-11-04 13:42:30,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:30,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:30,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:30,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:30,710 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.48, mean=-0.1247, std=3.099, absmax=14.48 +2025-11-04 13:42:30,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=13.05, mean=-0.1129, std=2.817, absmax=13.05 +2025-11-04 13:42:31,067 ERROR: Encountered non-finite generator loss at iter 24416; skipping update. +2025-11-04 13:42:31,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:31,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.18, max=15.34, mean=0.05258, std=3.521, absmax=15.34 +2025-11-04 13:42:31,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=14.3, mean=0.04056, std=3.211, absmax=14.3 +2025-11-04 13:42:31,427 ERROR: Encountered non-finite generator loss at iter 24417; skipping update. +2025-11-04 13:42:31,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:31,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=13.4, mean=-0.1292, std=3.018, absmax=13.4 +2025-11-04 13:42:31,430 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=11.19, mean=-0.1681, std=2.802, absmax=11.19 +2025-11-04 13:42:31,787 ERROR: Encountered non-finite generator loss at iter 24418; skipping update. +2025-11-04 13:42:31,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:31,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:31,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=13.67, mean=-0.1783, std=2.429, absmax=13.89 +2025-11-04 13:42:31,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.92, mean=-0.2311, std=2.292, absmax=10.92 +2025-11-04 13:42:32,147 ERROR: Encountered non-finite generator loss at iter 24419; skipping update. +2025-11-04 13:42:32,148 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,149 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:32,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.46, mean=-0.1357, std=2.885, absmax=13.46 +2025-11-04 13:42:32,150 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.11, max=13.05, mean=-0.1117, std=2.727, absmax=13.05 +2025-11-04 13:42:32,507 ERROR: Encountered non-finite generator loss at iter 24420; skipping update. +2025-11-04 13:42:32,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:32,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.86, mean=-0.2468, std=2.715, absmax=13.86 +2025-11-04 13:42:32,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.49, max=13.2, mean=-0.2462, std=2.62, absmax=14.49 +2025-11-04 13:42:32,866 ERROR: Encountered non-finite generator loss at iter 24421; skipping update. +2025-11-04 13:42:32,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:32,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:32,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=12.55, mean=-0.05781, std=2.953, absmax=12.67 +2025-11-04 13:42:32,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.23, mean=-0.03839, std=2.68, absmax=11.23 +2025-11-04 13:42:33,227 ERROR: Encountered non-finite generator loss at iter 24422; skipping update. +2025-11-04 13:42:33,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:33,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=15.26, mean=-0.1785, std=3.147, absmax=15.26 +2025-11-04 13:42:33,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=13.58, mean=-0.2022, std=2.897, absmax=13.58 +2025-11-04 13:42:33,587 ERROR: Encountered non-finite generator loss at iter 24423; skipping update. +2025-11-04 13:42:33,588 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:33,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.34, mean=-0.2787, std=2.889, absmax=11.87 +2025-11-04 13:42:33,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=10.23, mean=-0.2898, std=2.731, absmax=11.38 +2025-11-04 13:42:33,947 ERROR: Encountered non-finite generator loss at iter 24424; skipping update. +2025-11-04 13:42:33,948 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,949 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:33,949 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:33,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.9, mean=-0.02114, std=3.385, absmax=14.9 +2025-11-04 13:42:33,950 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=13.96, mean=0.01803, std=3.158, absmax=13.96 +2025-11-04 13:42:34,306 ERROR: Encountered non-finite generator loss at iter 24425; skipping update. +2025-11-04 13:42:34,308 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:34,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:34,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:34,309 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:34,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=12.42, mean=-0.1967, std=3.288, absmax=14.08 +2025-11-04 13:42:34,310 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=9.552, mean=-0.1897, std=3.047, absmax=12.94 +2025-11-04 13:42:34,666 ERROR: Encountered non-finite generator loss at iter 24426; skipping update. +2025-11-04 13:42:34,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:34,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:34,668 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:34,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:34,669 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=12.78, mean=-0.09047, std=3.217, absmax=12.78 +2025-11-04 13:42:34,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=12.4, mean=-0.06954, std=3.092, absmax=12.68 +2025-11-04 13:42:35,026 ERROR: Encountered non-finite generator loss at iter 24427; skipping update. +2025-11-04 13:42:35,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:35,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=12.19, mean=-0.1281, std=2.506, absmax=12.19 +2025-11-04 13:42:35,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.351, max=10.81, mean=-0.1336, std=2.328, absmax=10.81 +2025-11-04 13:42:35,386 ERROR: Encountered non-finite generator loss at iter 24428; skipping update. +2025-11-04 13:42:35,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:35,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.81, max=14.11, mean=-0.1823, std=3.51, absmax=14.81 +2025-11-04 13:42:35,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=12.5, mean=-0.1603, std=3.188, absmax=12.5 +2025-11-04 13:42:35,746 ERROR: Encountered non-finite generator loss at iter 24429; skipping update. +2025-11-04 13:42:35,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:35,748 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:35,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=12.44, mean=-0.1881, std=3.382, absmax=13.53 +2025-11-04 13:42:35,749 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=9.813, mean=-0.1522, std=3.144, absmax=13.24 +2025-11-04 13:42:36,106 ERROR: Encountered non-finite generator loss at iter 24430; skipping update. +2025-11-04 13:42:36,107 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,108 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:36,109 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=13.21, mean=-0.2205, std=2.668, absmax=13.21 +2025-11-04 13:42:36,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=12.09, mean=-0.1687, std=2.562, absmax=12.09 +2025-11-04 13:42:36,465 ERROR: Encountered non-finite generator loss at iter 24431; skipping update. +2025-11-04 13:42:36,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:36,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.04, mean=-0.1846, std=3.013, absmax=14.04 +2025-11-04 13:42:36,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.35, mean=-0.2037, std=2.835, absmax=11.55 +2025-11-04 13:42:36,825 ERROR: Encountered non-finite generator loss at iter 24432; skipping update. +2025-11-04 13:42:36,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,826 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:36,827 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:36,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.23, mean=-0.1148, std=2.945, absmax=12.23 +2025-11-04 13:42:36,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.966, max=11.2, mean=-0.1312, std=2.628, absmax=11.2 +2025-11-04 13:42:37,185 ERROR: Encountered non-finite generator loss at iter 24433; skipping update. +2025-11-04 13:42:37,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,186 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,187 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:37,187 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.38, mean=-0.1468, std=3.153, absmax=12.65 +2025-11-04 13:42:37,188 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=10.79, mean=-0.183, std=2.986, absmax=10.82 +2025-11-04 13:42:37,544 ERROR: Encountered non-finite generator loss at iter 24434; skipping update. +2025-11-04 13:42:37,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:37,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=10.89, mean=-0.2286, std=2.61, absmax=13.4 +2025-11-04 13:42:37,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=9.188, mean=-0.1969, std=2.46, absmax=12.75 +2025-11-04 13:42:37,903 ERROR: Encountered non-finite generator loss at iter 24435; skipping update. +2025-11-04 13:42:37,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,905 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:37,906 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:37,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=8.123, mean=-0.2263, std=2.412, absmax=11.91 +2025-11-04 13:42:37,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=7.573, mean=-0.257, std=2.302, absmax=10.78 +2025-11-04 13:42:38,262 ERROR: Encountered non-finite generator loss at iter 24436; skipping update. +2025-11-04 13:42:38,263 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,264 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,264 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:38,265 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=10.73, mean=-0.2652, std=2.894, absmax=12.66 +2025-11-04 13:42:38,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=10.24, mean=-0.2029, std=2.761, absmax=12.17 +2025-11-04 13:42:38,621 ERROR: Encountered non-finite generator loss at iter 24437; skipping update. +2025-11-04 13:42:38,622 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,623 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,624 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:38,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.35, mean=-0.1825, std=3.072, absmax=12.85 +2025-11-04 13:42:38,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.05, mean=-0.1876, std=2.862, absmax=11.05 +2025-11-04 13:42:38,980 ERROR: Encountered non-finite generator loss at iter 24438; skipping update. +2025-11-04 13:42:38,981 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,982 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:38,983 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:38,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=12.49, mean=-0.0006295, std=2.872, absmax=12.49 +2025-11-04 13:42:38,984 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=11.51, mean=-0.007677, std=2.736, absmax=11.51 +2025-11-04 13:42:39,339 ERROR: Encountered non-finite generator loss at iter 24439; skipping update. +2025-11-04 13:42:39,340 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:39,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:39,341 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:39,342 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:39,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.47, mean=0.07915, std=3.836, absmax=14.47 +2025-11-04 13:42:39,343 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.51, mean=0.05936, std=3.554, absmax=12.97 +2025-11-04 13:42:39,699 ERROR: Encountered non-finite generator loss at iter 24440; skipping update. +2025-11-04 13:42:39,700 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:39,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:39,701 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:39,701 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:39,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=15.24, mean=-0.0996, std=2.883, absmax=15.24 +2025-11-04 13:42:39,702 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=13.95, mean=-0.07079, std=2.606, absmax=13.95 +2025-11-04 13:42:40,058 ERROR: Encountered non-finite generator loss at iter 24441; skipping update. +2025-11-04 13:42:40,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,059 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,060 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:40,061 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=11.43, mean=-0.1356, std=2.829, absmax=12.11 +2025-11-04 13:42:40,061 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=11.48, mean=-0.1062, std=2.709, absmax=11.48 +2025-11-04 13:42:40,417 ERROR: Encountered non-finite generator loss at iter 24442; skipping update. +2025-11-04 13:42:40,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,418 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:40,419 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=14.13, mean=-0.08292, std=3.775, absmax=14.85 +2025-11-04 13:42:40,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.82, mean=-0.05022, std=3.477, absmax=12.82 +2025-11-04 13:42:40,775 ERROR: Encountered non-finite generator loss at iter 24443; skipping update. +2025-11-04 13:42:40,777 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:40,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:40,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=16.11, mean=-0.19, std=3.118, absmax=16.11 +2025-11-04 13:42:40,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=14.79, mean=-0.1862, std=2.922, absmax=14.79 +2025-11-04 13:42:41,135 ERROR: Encountered non-finite generator loss at iter 24444; skipping update. +2025-11-04 13:42:41,136 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,137 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,137 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:41,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=11.91, mean=-0.234, std=2.963, absmax=11.91 +2025-11-04 13:42:41,138 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.24, mean=-0.2373, std=2.678, absmax=10.63 +2025-11-04 13:42:41,494 ERROR: Encountered non-finite generator loss at iter 24445; skipping update. +2025-11-04 13:42:41,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:41,497 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.25, mean=-0.173, std=2.79, absmax=13.25 +2025-11-04 13:42:41,498 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=10.64, mean=-0.2118, std=2.7, absmax=12.17 +2025-11-04 13:42:41,854 ERROR: Encountered non-finite generator loss at iter 24446; skipping update. +2025-11-04 13:42:41,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:41,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:41,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=10.28, mean=-0.2512, std=2.699, absmax=12.43 +2025-11-04 13:42:41,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=9.448, mean=-0.285, std=2.443, absmax=11.28 +2025-11-04 13:42:42,214 ERROR: Encountered non-finite generator loss at iter 24447; skipping update. +2025-11-04 13:42:42,215 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,216 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,217 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:42,217 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=13.01, mean=-0.1532, std=2.863, absmax=13.78 +2025-11-04 13:42:42,218 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=11.88, mean=-0.1414, std=2.622, absmax=11.88 +2025-11-04 13:42:42,575 ERROR: Encountered non-finite generator loss at iter 24448; skipping update. +2025-11-04 13:42:42,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,577 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:42,578 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=16.99, mean=-0.07246, std=3.281, absmax=16.99 +2025-11-04 13:42:42,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.2, max=12.78, mean=-0.06148, std=2.994, absmax=13.2 +2025-11-04 13:42:42,935 ERROR: Encountered non-finite generator loss at iter 24449; skipping update. +2025-11-04 13:42:42,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:42,939 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:42,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=14.58, mean=-0.1765, std=3.011, absmax=14.58 +2025-11-04 13:42:42,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.75, max=12.68, mean=-0.1321, std=2.835, absmax=13.75 +2025-11-04 13:42:43,299 ERROR: Encountered non-finite generator loss at iter 24450; skipping update. +2025-11-04 13:42:43,300 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:43,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:43,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:43,302 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:43,303 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=14.02, mean=-0.1923, std=3.662, absmax=14.02 +2025-11-04 13:42:43,303 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=12.89, mean=-0.2148, std=3.373, absmax=12.89 +2025-11-04 13:42:43,663 ERROR: Encountered non-finite generator loss at iter 24451; skipping update. +2025-11-04 13:42:43,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:43,665 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:43,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:43,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:43,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.74, mean=-0.1236, std=3.528, absmax=13.74 +2025-11-04 13:42:43,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=12.85, mean=-0.1365, std=3.221, absmax=12.85 +2025-11-04 13:42:44,026 ERROR: Encountered non-finite generator loss at iter 24452; skipping update. +2025-11-04 13:42:44,027 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,028 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,028 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,029 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:44,029 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.57, mean=-0.209, std=2.65, absmax=13.12 +2025-11-04 13:42:44,030 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=11.85, mean=-0.2279, std=2.526, absmax=12.16 +2025-11-04 13:42:44,387 ERROR: Encountered non-finite generator loss at iter 24453; skipping update. +2025-11-04 13:42:44,388 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,389 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,390 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:44,390 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.22, mean=-0.09696, std=3.205, absmax=13.22 +2025-11-04 13:42:44,391 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=12.35, mean=-0.129, std=2.945, absmax=12.35 +2025-11-04 13:42:44,748 ERROR: Encountered non-finite generator loss at iter 24454; skipping update. +2025-11-04 13:42:44,749 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,750 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:44,751 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:44,751 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.2, mean=-0.2831, std=2.973, absmax=14.61 +2025-11-04 13:42:44,752 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=12.57, mean=-0.2231, std=2.781, absmax=12.57 +2025-11-04 13:42:45,108 ERROR: Encountered non-finite generator loss at iter 24455; skipping update. +2025-11-04 13:42:45,110 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,110 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,110 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:45,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.83, mean=-0.3116, std=3.465, absmax=13.83 +2025-11-04 13:42:45,112 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=12.99, mean=-0.2683, std=3.157, absmax=13.37 +2025-11-04 13:42:45,468 ERROR: Encountered non-finite generator loss at iter 24456; skipping update. +2025-11-04 13:42:45,470 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,470 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,470 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,471 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:45,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.84, mean=-0.1752, std=2.964, absmax=11.84 +2025-11-04 13:42:45,472 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.957, max=10.14, mean=-0.1576, std=2.646, absmax=10.14 +2025-11-04 13:42:45,829 ERROR: Encountered non-finite generator loss at iter 24457; skipping update. +2025-11-04 13:42:45,830 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,831 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:45,831 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:45,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.36, mean=-0.1503, std=3.363, absmax=13.36 +2025-11-04 13:42:45,833 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=13.03, mean=-0.1136, std=3.099, absmax=13.03 +2025-11-04 13:42:46,189 ERROR: Encountered non-finite generator loss at iter 24458; skipping update. +2025-11-04 13:42:46,190 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,191 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,191 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,192 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:46,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.89, mean=-0.08571, std=3.422, absmax=13.89 +2025-11-04 13:42:46,193 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=12.18, mean=-0.1099, std=3.161, absmax=12.47 +2025-11-04 13:42:46,550 ERROR: Encountered non-finite generator loss at iter 24459; skipping update. +2025-11-04 13:42:46,551 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,552 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:46,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=21.24, mean=-0.01038, std=3.298, absmax=21.24 +2025-11-04 13:42:46,553 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=19.38, mean=0.001032, std=3.044, absmax=19.38 +2025-11-04 13:42:46,910 ERROR: Encountered non-finite generator loss at iter 24460; skipping update. +2025-11-04 13:42:46,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:46,913 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:46,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.04, max=10.64, mean=-0.2156, std=2.318, absmax=10.64 +2025-11-04 13:42:46,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=10.03, mean=-0.256, std=2.297, absmax=10.03 +2025-11-04 13:42:47,270 ERROR: Encountered non-finite generator loss at iter 24461; skipping update. +2025-11-04 13:42:47,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:47,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.81, mean=-0.1285, std=2.731, absmax=13.81 +2025-11-04 13:42:47,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=12.27, mean=-0.08443, std=2.551, absmax=12.27 +2025-11-04 13:42:47,631 ERROR: Encountered non-finite generator loss at iter 24462; skipping update. +2025-11-04 13:42:47,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:47,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=13.69, mean=-0.1061, std=3.364, absmax=13.69 +2025-11-04 13:42:47,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=13.08, mean=-0.1082, std=3.157, absmax=13.08 +2025-11-04 13:42:47,990 ERROR: Encountered non-finite generator loss at iter 24463; skipping update. +2025-11-04 13:42:47,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:47,993 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:47,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=14.25, mean=-0.03925, std=3.065, absmax=14.25 +2025-11-04 13:42:47,994 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=11.73, mean=-0.03447, std=2.778, absmax=11.73 +2025-11-04 13:42:48,351 ERROR: Encountered non-finite generator loss at iter 24464; skipping update. +2025-11-04 13:42:48,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:48,352 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:48,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:48,353 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:48,354 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=11.49, mean=-0.2098, std=2.942, absmax=13.61 +2025-11-04 13:42:48,355 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=11.42, mean=-0.2084, std=2.762, absmax=13.3 +2025-11-04 13:42:48,712 ERROR: Encountered non-finite generator loss at iter 24465; skipping update. +2025-11-04 13:42:48,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:48,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:48,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:48,714 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:48,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=14.36, mean=-0.3495, std=2.924, absmax=14.36 +2025-11-04 13:42:48,715 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=13, mean=-0.3207, std=2.866, absmax=13 +2025-11-04 13:42:49,072 ERROR: Encountered non-finite generator loss at iter 24466; skipping update. +2025-11-04 13:42:49,073 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:49,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=14.31, mean=-0.02771, std=3.116, absmax=14.31 +2025-11-04 13:42:49,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=13.19, mean=-0.01329, std=2.943, absmax=13.19 +2025-11-04 13:42:49,433 ERROR: Encountered non-finite generator loss at iter 24467; skipping update. +2025-11-04 13:42:49,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:49,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.64, mean=-0.296, std=2.982, absmax=12.64 +2025-11-04 13:42:49,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=11.17, mean=-0.322, std=2.77, absmax=11.17 +2025-11-04 13:42:49,793 ERROR: Encountered non-finite generator loss at iter 24468; skipping update. +2025-11-04 13:42:49,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,795 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:49,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:49,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.8, mean=0.006979, std=2.836, absmax=13.8 +2025-11-04 13:42:49,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=12.57, mean=-0.002093, std=2.632, absmax=12.57 +2025-11-04 13:42:50,154 ERROR: Encountered non-finite generator loss at iter 24469; skipping update. +2025-11-04 13:42:50,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:50,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=12.08, mean=-0.2036, std=2.651, absmax=12.47 +2025-11-04 13:42:50,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=10.38, mean=-0.1557, std=2.463, absmax=10.5 +2025-11-04 13:42:50,514 ERROR: Encountered non-finite generator loss at iter 24470; skipping update. +2025-11-04 13:42:50,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:50,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=16.78, mean=-0.2143, std=3.014, absmax=16.78 +2025-11-04 13:42:50,517 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=12.35, mean=-0.2015, std=2.794, absmax=12.35 +2025-11-04 13:42:50,874 ERROR: Encountered non-finite generator loss at iter 24471; skipping update. +2025-11-04 13:42:50,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,876 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:50,876 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:50,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=10.7, mean=-0.3021, std=2.984, absmax=12.5 +2025-11-04 13:42:50,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=9.154, mean=-0.2899, std=2.87, absmax=12.23 +2025-11-04 13:42:51,235 ERROR: Encountered non-finite generator loss at iter 24472; skipping update. +2025-11-04 13:42:51,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,236 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,237 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:51,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.08, mean=-0.1214, std=2.998, absmax=13.38 +2025-11-04 13:42:51,238 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.65, mean=-0.08002, std=2.833, absmax=12.03 +2025-11-04 13:42:51,595 ERROR: Encountered non-finite generator loss at iter 24473; skipping update. +2025-11-04 13:42:51,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,597 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:51,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.48, mean=-0.1187, std=2.987, absmax=13.8 +2025-11-04 13:42:51,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.11, max=11.96, mean=-0.09806, std=2.688, absmax=13.11 +2025-11-04 13:42:51,955 ERROR: Encountered non-finite generator loss at iter 24474; skipping update. +2025-11-04 13:42:51,957 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:51,958 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:51,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=10.77, mean=-0.2257, std=2.373, absmax=12.36 +2025-11-04 13:42:51,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=9.587, mean=-0.2593, std=2.287, absmax=10.52 +2025-11-04 13:42:52,318 ERROR: Encountered non-finite generator loss at iter 24475; skipping update. +2025-11-04 13:42:52,320 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:52,320 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:52,320 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:52,321 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:52,321 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=12.43, mean=-0.2915, std=3.249, absmax=14.56 +2025-11-04 13:42:52,322 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.08, max=12.02, mean=-0.2799, std=3.133, absmax=14.08 +2025-11-04 13:42:52,678 ERROR: Encountered non-finite generator loss at iter 24476; skipping update. +2025-11-04 13:42:52,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:52,679 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:52,679 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:52,680 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:52,680 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=10.56, mean=-0.3176, std=3.362, absmax=13.57 +2025-11-04 13:42:52,681 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=10.64, mean=-0.2994, std=3.143, absmax=13.6 +2025-11-04 13:42:53,038 ERROR: Encountered non-finite generator loss at iter 24477; skipping update. +2025-11-04 13:42:53,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,039 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,040 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:53,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.38, mean=-0.1969, std=3.136, absmax=13.49 +2025-11-04 13:42:53,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=10.69, mean=-0.1467, std=2.939, absmax=12.13 +2025-11-04 13:42:53,398 ERROR: Encountered non-finite generator loss at iter 24478; skipping update. +2025-11-04 13:42:53,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:53,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=13.44, mean=-0.3537, std=3.237, absmax=13.44 +2025-11-04 13:42:53,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.67, mean=-0.3228, std=3.001, absmax=12.67 +2025-11-04 13:42:53,758 ERROR: Encountered non-finite generator loss at iter 24479; skipping update. +2025-11-04 13:42:53,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,759 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,759 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:53,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:53,760 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.72, mean=-0.1724, std=3.02, absmax=12.97 +2025-11-04 13:42:53,761 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=10.24, mean=-0.1623, std=2.739, absmax=11.29 +2025-11-04 13:42:54,117 ERROR: Encountered non-finite generator loss at iter 24480; skipping update. +2025-11-04 13:42:54,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:54,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=13.21, mean=0.02743, std=3.654, absmax=14.29 +2025-11-04 13:42:54,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=13.73, mean=0.05045, std=3.492, absmax=13.73 +2025-11-04 13:42:54,477 ERROR: Encountered non-finite generator loss at iter 24481; skipping update. +2025-11-04 13:42:54,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,478 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:54,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=12.24, mean=-0.2716, std=2.672, absmax=14.22 +2025-11-04 13:42:54,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=10.02, mean=-0.2679, std=2.614, absmax=12.67 +2025-11-04 13:42:54,837 ERROR: Encountered non-finite generator loss at iter 24482; skipping update. +2025-11-04 13:42:54,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:54,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:54,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=10.44, mean=-0.1734, std=2.959, absmax=12.39 +2025-11-04 13:42:54,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=9.854, mean=-0.1524, std=2.695, absmax=10.81 +2025-11-04 13:42:55,197 ERROR: Encountered non-finite generator loss at iter 24483; skipping update. +2025-11-04 13:42:55,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:55,200 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=15.89, mean=0.07888, std=3.022, absmax=15.89 +2025-11-04 13:42:55,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=13.45, mean=0.08803, std=2.801, absmax=13.45 +2025-11-04 13:42:55,558 ERROR: Encountered non-finite generator loss at iter 24484; skipping update. +2025-11-04 13:42:55,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,559 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,560 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:55,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.53, max=11.67, mean=-0.03571, std=2.528, absmax=11.67 +2025-11-04 13:42:55,561 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=9.482, mean=-0.0255, std=2.43, absmax=10.93 +2025-11-04 13:42:55,918 ERROR: Encountered non-finite generator loss at iter 24485; skipping update. +2025-11-04 13:42:55,919 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,920 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,920 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:55,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:55,921 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=10.53, mean=-0.191, std=2.97, absmax=13.42 +2025-11-04 13:42:55,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=10.4, mean=-0.1747, std=2.815, absmax=13.13 +2025-11-04 13:42:56,279 ERROR: Encountered non-finite generator loss at iter 24486; skipping update. +2025-11-04 13:42:56,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:56,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:56,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:56,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:56,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.71, mean=-0.2156, std=2.941, absmax=13.71 +2025-11-04 13:42:56,282 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=12.32, mean=-0.2412, std=2.806, absmax=12.32 +2025-11-04 13:42:56,639 ERROR: Encountered non-finite generator loss at iter 24487; skipping update. +2025-11-04 13:42:56,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:56,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:56,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:56,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:56,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=14.07, mean=-0.08661, std=3.108, absmax=14.07 +2025-11-04 13:42:56,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.83, mean=-0.1277, std=2.878, absmax=12.83 +2025-11-04 13:42:56,999 ERROR: Encountered non-finite generator loss at iter 24488; skipping update. +2025-11-04 13:42:57,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,001 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,001 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:57,002 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.49, max=14.24, mean=-0.1986, std=2.743, absmax=14.49 +2025-11-04 13:42:57,002 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=12.9, mean=-0.1812, std=2.541, absmax=12.9 +2025-11-04 13:42:57,359 ERROR: Encountered non-finite generator loss at iter 24489; skipping update. +2025-11-04 13:42:57,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,360 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,361 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:57,362 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=14.1, mean=-0.2067, std=3.475, absmax=14.1 +2025-11-04 13:42:57,362 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=12.79, mean=-0.1784, std=3.33, absmax=12.79 +2025-11-04 13:42:57,721 ERROR: Encountered non-finite generator loss at iter 24490; skipping update. +2025-11-04 13:42:57,723 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,724 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:57,724 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:57,725 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=14.13, mean=0.02351, std=2.998, absmax=14.13 +2025-11-04 13:42:57,725 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=12.13, mean=-0.005566, std=2.763, absmax=12.13 +2025-11-04 13:42:58,083 ERROR: Encountered non-finite generator loss at iter 24491; skipping update. +2025-11-04 13:42:58,084 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,084 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,085 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,085 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:58,086 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=15.85, mean=0.03062, std=3.426, absmax=15.85 +2025-11-04 13:42:58,086 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=13.49, mean=0.01547, std=3.111, absmax=13.49 +2025-11-04 13:42:58,443 ERROR: Encountered non-finite generator loss at iter 24492; skipping update. +2025-11-04 13:42:58,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,445 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:58,445 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.54, mean=-0.02422, std=2.967, absmax=13.54 +2025-11-04 13:42:58,446 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.76, mean=-0.002937, std=2.704, absmax=11.76 +2025-11-04 13:42:58,802 ERROR: Encountered non-finite generator loss at iter 24493; skipping update. +2025-11-04 13:42:58,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:58,805 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:58,805 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=13.39, mean=-0.1901, std=2.638, absmax=13.39 +2025-11-04 13:42:58,806 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.626, max=11.13, mean=-0.167, std=2.39, absmax=11.13 +2025-11-04 13:42:59,162 ERROR: Encountered non-finite generator loss at iter 24494; skipping update. +2025-11-04 13:42:59,164 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,164 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,164 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,165 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:59,165 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=16.94, mean=-0.2686, std=3.299, absmax=16.94 +2025-11-04 13:42:59,166 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.25, max=15.19, mean=-0.2652, std=3.013, absmax=15.19 +2025-11-04 13:42:59,523 ERROR: Encountered non-finite generator loss at iter 24495; skipping update. +2025-11-04 13:42:59,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,525 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:59,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=13.53, mean=-0.2172, std=2.303, absmax=13.53 +2025-11-04 13:42:59,526 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=11.6, mean=-0.2086, std=2.132, absmax=11.6 +2025-11-04 13:42:59,883 ERROR: Encountered non-finite generator loss at iter 24496; skipping update. +2025-11-04 13:42:59,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,884 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:42:59,885 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:42:59,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.24, mean=-0.1097, std=3.026, absmax=13.28 +2025-11-04 13:42:59,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=11.96, mean=-0.1037, std=2.856, absmax=11.96 +2025-11-04 13:43:00,243 ERROR: Encountered non-finite generator loss at iter 24497; skipping update. +2025-11-04 13:43:00,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:00,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.97, mean=-0.1918, std=3.313, absmax=13.23 +2025-11-04 13:43:00,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.69, mean=-0.164, std=3.04, absmax=12.69 +2025-11-04 13:43:00,604 ERROR: Encountered non-finite generator loss at iter 24498; skipping update. +2025-11-04 13:43:00,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:00,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=14.16, mean=-0.07026, std=2.771, absmax=14.16 +2025-11-04 13:43:00,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.802, max=12.6, mean=-0.07741, std=2.566, absmax=12.6 +2025-11-04 13:43:00,964 ERROR: Encountered non-finite generator loss at iter 24499; skipping update. +2025-11-04 13:43:00,965 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,966 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:00,966 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:00,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=15.59, mean=-0.1504, std=3.529, absmax=15.59 +2025-11-04 13:43:00,967 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=13.6, mean=-0.1279, std=3.211, absmax=13.6 +2025-11-04 13:43:01,324 ERROR: Encountered non-finite generator loss at iter 24500; skipping update. +2025-11-04 13:43:01,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:01,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:01,326 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:01,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:01,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=11.79, mean=-0.1404, std=2.527, absmax=12.62 +2025-11-04 13:43:01,328 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=9.449, mean=-0.1445, std=2.399, absmax=11.08 +2025-11-04 13:43:01,328 INFO: [38..][epoch: 0, step: 24,500, lr:(2.000e-04,)] [eta: 1 day, 3:36:17, time (data): 0.362 (0.000)] +2025-11-04 13:43:01,685 ERROR: Encountered non-finite generator loss at iter 24501; skipping update. +2025-11-04 13:43:01,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:01,687 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:01,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:01,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:01,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=14.11, mean=-0.2631, std=3.221, absmax=14.11 +2025-11-04 13:43:01,689 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=11.62, mean=-0.2718, std=2.974, absmax=12.42 +2025-11-04 13:43:02,046 ERROR: Encountered non-finite generator loss at iter 24502; skipping update. +2025-11-04 13:43:02,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,048 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:02,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.32, mean=-0.275, std=2.414, absmax=12.32 +2025-11-04 13:43:02,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.816, max=8.84, mean=-0.2404, std=2.254, absmax=9.816 +2025-11-04 13:43:02,406 ERROR: Encountered non-finite generator loss at iter 24503; skipping update. +2025-11-04 13:43:02,407 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,408 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:02,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=12.21, mean=-0.09137, std=2.76, absmax=12.56 +2025-11-04 13:43:02,410 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.04, mean=-0.07678, std=2.571, absmax=10.68 +2025-11-04 13:43:02,767 ERROR: Encountered non-finite generator loss at iter 24504; skipping update. +2025-11-04 13:43:02,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,769 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:02,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:02,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.35, mean=-0.07803, std=3.366, absmax=14.35 +2025-11-04 13:43:02,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=11.76, mean=-0.09789, std=3.056, absmax=12.89 +2025-11-04 13:43:03,127 ERROR: Encountered non-finite generator loss at iter 24505; skipping update. +2025-11-04 13:43:03,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:03,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.38, mean=-0.1485, std=3.449, absmax=13.46 +2025-11-04 13:43:03,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=12.96, mean=-0.1558, std=3.223, absmax=12.96 +2025-11-04 13:43:03,488 ERROR: Encountered non-finite generator loss at iter 24506; skipping update. +2025-11-04 13:43:03,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,490 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:03,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.97, mean=-0.2864, std=2.865, absmax=13.5 +2025-11-04 13:43:03,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=10.85, mean=-0.2943, std=2.656, absmax=12.24 +2025-11-04 13:43:03,848 ERROR: Encountered non-finite generator loss at iter 24507; skipping update. +2025-11-04 13:43:03,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:03,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:03,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=11.58, mean=-0.1046, std=3.043, absmax=13.27 +2025-11-04 13:43:03,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=10.93, mean=-0.08933, std=2.796, absmax=12.34 +2025-11-04 13:43:04,209 ERROR: Encountered non-finite generator loss at iter 24508; skipping update. +2025-11-04 13:43:04,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:04,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.2, max=10.61, mean=-0.2252, std=2.416, absmax=10.61 +2025-11-04 13:43:04,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.792, max=9.452, mean=-0.2552, std=2.35, absmax=9.792 +2025-11-04 13:43:04,569 ERROR: Encountered non-finite generator loss at iter 24509; skipping update. +2025-11-04 13:43:04,570 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,571 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:04,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-21.35, max=21.59, mean=-0.2308, std=2.868, absmax=21.59 +2025-11-04 13:43:04,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.3, max=18.96, mean=-0.1757, std=2.615, absmax=18.96 +2025-11-04 13:43:04,930 ERROR: Encountered non-finite generator loss at iter 24510; skipping update. +2025-11-04 13:43:04,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,932 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:04,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:04,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.41, mean=-0.1151, std=2.997, absmax=13.41 +2025-11-04 13:43:04,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=13.4, mean=-0.1395, std=2.81, absmax=13.4 +2025-11-04 13:43:05,289 ERROR: Encountered non-finite generator loss at iter 24511; skipping update. +2025-11-04 13:43:05,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:05,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:05,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:05,292 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:05,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.07, mean=0.02013, std=3.536, absmax=12.69 +2025-11-04 13:43:05,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=11, mean=0.01251, std=3.197, absmax=12.47 +2025-11-04 13:43:05,650 ERROR: Encountered non-finite generator loss at iter 24512; skipping update. +2025-11-04 13:43:05,651 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:05,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:05,652 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:05,652 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:05,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=14.62, mean=-0.003557, std=3.162, absmax=14.62 +2025-11-04 13:43:05,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=12.57, mean=-0.05615, std=2.981, absmax=12.57 +2025-11-04 13:43:06,010 ERROR: Encountered non-finite generator loss at iter 24513; skipping update. +2025-11-04 13:43:06,011 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,012 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,012 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:06,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=11.42, mean=-0.1981, std=2.518, absmax=11.52 +2025-11-04 13:43:06,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=9.689, mean=-0.2219, std=2.27, absmax=10.29 +2025-11-04 13:43:06,370 ERROR: Encountered non-finite generator loss at iter 24514; skipping update. +2025-11-04 13:43:06,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:06,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=11.14, mean=-0.04063, std=2.675, absmax=12.44 +2025-11-04 13:43:06,373 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.11, mean=-0.1248, std=2.52, absmax=11.13 +2025-11-04 13:43:06,730 ERROR: Encountered non-finite generator loss at iter 24515; skipping update. +2025-11-04 13:43:06,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:06,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:06,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.35, mean=-0.2626, std=3.287, absmax=13.35 +2025-11-04 13:43:06,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=13.49, mean=-0.2474, std=2.994, absmax=13.49 +2025-11-04 13:43:07,091 ERROR: Encountered non-finite generator loss at iter 24516; skipping update. +2025-11-04 13:43:07,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:07,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.08, mean=-0.3614, std=3.59, absmax=13.52 +2025-11-04 13:43:07,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=10.19, mean=-0.347, std=3.359, absmax=13.12 +2025-11-04 13:43:07,452 ERROR: Encountered non-finite generator loss at iter 24517; skipping update. +2025-11-04 13:43:07,453 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,454 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,455 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:07,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.13, max=9.354, mean=-0.2488, std=2.306, absmax=11.13 +2025-11-04 13:43:07,456 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=8.233, mean=-0.2123, std=2.163, absmax=11.43 +2025-11-04 13:43:07,813 ERROR: Encountered non-finite generator loss at iter 24518; skipping update. +2025-11-04 13:43:07,814 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,815 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:07,815 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:07,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=14.16, mean=-0.204, std=2.922, absmax=14.16 +2025-11-04 13:43:07,816 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.53, max=12.78, mean=-0.2059, std=2.733, absmax=12.78 +2025-11-04 13:43:08,172 ERROR: Encountered non-finite generator loss at iter 24519; skipping update. +2025-11-04 13:43:08,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,174 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:08,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.5, max=13.09, mean=-0.1409, std=2.844, absmax=14.5 +2025-11-04 13:43:08,175 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=11.82, mean=-0.1382, std=2.639, absmax=12.51 +2025-11-04 13:43:08,532 ERROR: Encountered non-finite generator loss at iter 24520; skipping update. +2025-11-04 13:43:08,533 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,534 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,534 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:08,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=13.65, mean=-0.06086, std=3.597, absmax=14.44 +2025-11-04 13:43:08,535 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=12.52, mean=-0.04874, std=3.388, absmax=12.91 +2025-11-04 13:43:08,892 ERROR: Encountered non-finite generator loss at iter 24521; skipping update. +2025-11-04 13:43:08,893 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:08,894 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:08,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=10.98, mean=-0.13, std=2.831, absmax=12.88 +2025-11-04 13:43:08,896 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.31, mean=-0.1058, std=2.786, absmax=12.31 +2025-11-04 13:43:09,252 ERROR: Encountered non-finite generator loss at iter 24522; skipping update. +2025-11-04 13:43:09,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:09,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=13.81, mean=-0.3319, std=2.792, absmax=13.81 +2025-11-04 13:43:09,255 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=10.76, mean=-0.2824, std=2.607, absmax=11.78 +2025-11-04 13:43:09,612 ERROR: Encountered non-finite generator loss at iter 24523; skipping update. +2025-11-04 13:43:09,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:09,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.52, max=10.21, mean=-0.1772, std=2.464, absmax=10.52 +2025-11-04 13:43:09,616 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.754, max=9.949, mean=-0.1549, std=2.307, absmax=9.949 +2025-11-04 13:43:09,972 ERROR: Encountered non-finite generator loss at iter 24524; skipping update. +2025-11-04 13:43:09,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:09,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:09,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=11.55, mean=-0.2347, std=2.884, absmax=13.2 +2025-11-04 13:43:09,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=10.17, mean=-0.1806, std=2.693, absmax=12.25 +2025-11-04 13:43:10,332 ERROR: Encountered non-finite generator loss at iter 24525; skipping update. +2025-11-04 13:43:10,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:10,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:10,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:10,334 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:10,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.02, mean=-0.1279, std=2.805, absmax=12.56 +2025-11-04 13:43:10,335 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=9.945, mean=-0.08881, std=2.651, absmax=11.27 +2025-11-04 13:43:10,691 ERROR: Encountered non-finite generator loss at iter 24526; skipping update. +2025-11-04 13:43:10,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:10,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:10,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:10,693 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:10,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.21, mean=-0.2632, std=2.727, absmax=13.58 +2025-11-04 13:43:10,694 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=11.33, mean=-0.288, std=2.544, absmax=11.33 +2025-11-04 13:43:11,051 ERROR: Encountered non-finite generator loss at iter 24527; skipping update. +2025-11-04 13:43:11,052 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,052 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,053 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,053 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:11,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=11.23, mean=-0.2243, std=2.988, absmax=13.73 +2025-11-04 13:43:11,054 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=10.25, mean=-0.2315, std=2.864, absmax=13.34 +2025-11-04 13:43:11,411 ERROR: Encountered non-finite generator loss at iter 24528; skipping update. +2025-11-04 13:43:11,412 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,413 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,413 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:11,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=10.22, mean=-0.2678, std=2.583, absmax=11.89 +2025-11-04 13:43:11,414 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=8.738, mean=-0.2435, std=2.448, absmax=10.66 +2025-11-04 13:43:11,770 ERROR: Encountered non-finite generator loss at iter 24529; skipping update. +2025-11-04 13:43:11,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,772 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:11,773 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:11,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=15.15, mean=0.1881, std=3.573, absmax=15.15 +2025-11-04 13:43:11,774 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=14.8, mean=0.191, std=3.307, absmax=14.8 +2025-11-04 13:43:12,130 ERROR: Encountered non-finite generator loss at iter 24530; skipping update. +2025-11-04 13:43:12,131 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,132 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,132 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:12,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.38, mean=-0.2802, std=3.533, absmax=13.81 +2025-11-04 13:43:12,133 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=12.07, mean=-0.2849, std=3.285, absmax=12.17 +2025-11-04 13:43:12,489 ERROR: Encountered non-finite generator loss at iter 24531; skipping update. +2025-11-04 13:43:12,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,491 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:12,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=13.67, mean=-0.1125, std=3.231, absmax=13.67 +2025-11-04 13:43:12,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=12.11, mean=-0.1072, std=3.018, absmax=12.11 +2025-11-04 13:43:12,849 ERROR: Encountered non-finite generator loss at iter 24532; skipping update. +2025-11-04 13:43:12,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:12,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:12,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.46, mean=-0.05003, std=2.797, absmax=13.46 +2025-11-04 13:43:12,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=11.13, mean=-0.04959, std=2.65, absmax=11.67 +2025-11-04 13:43:13,208 ERROR: Encountered non-finite generator loss at iter 24533; skipping update. +2025-11-04 13:43:13,209 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:13,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=17.61, mean=-0.1883, std=3.373, absmax=17.61 +2025-11-04 13:43:13,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=15.56, mean=-0.162, std=3.077, absmax=15.56 +2025-11-04 13:43:13,568 ERROR: Encountered non-finite generator loss at iter 24534; skipping update. +2025-11-04 13:43:13,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:13,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=13.72, mean=-0.07284, std=3.495, absmax=13.72 +2025-11-04 13:43:13,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=12.56, mean=-0.1352, std=3.278, absmax=12.56 +2025-11-04 13:43:13,928 ERROR: Encountered non-finite generator loss at iter 24535; skipping update. +2025-11-04 13:43:13,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:13,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:13,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.42, mean=-0.2856, std=3.153, absmax=12.42 +2025-11-04 13:43:13,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.14, mean=-0.227, std=2.96, absmax=11.31 +2025-11-04 13:43:14,288 ERROR: Encountered non-finite generator loss at iter 24536; skipping update. +2025-11-04 13:43:14,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:14,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:14,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:14,290 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:14,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=15.22, mean=0.04413, std=3.317, absmax=15.22 +2025-11-04 13:43:14,291 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.15, max=12.24, mean=-0.007907, std=3.068, absmax=13.15 +2025-11-04 13:43:14,648 ERROR: Encountered non-finite generator loss at iter 24537; skipping update. +2025-11-04 13:43:14,649 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:14,649 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:14,650 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:14,650 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:14,651 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.54, max=11.96, mean=-0.2291, std=3.245, absmax=15.54 +2025-11-04 13:43:14,651 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.2, max=11.19, mean=-0.2686, std=3.051, absmax=15.2 +2025-11-04 13:43:15,008 ERROR: Encountered non-finite generator loss at iter 24538; skipping update. +2025-11-04 13:43:15,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,010 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:15,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=13.26, mean=-0.133, std=3.006, absmax=14.4 +2025-11-04 13:43:15,012 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.31, mean=-0.1365, std=2.762, absmax=12.62 +2025-11-04 13:43:15,368 ERROR: Encountered non-finite generator loss at iter 24539; skipping update. +2025-11-04 13:43:15,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,371 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:15,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.15, mean=-0.08385, std=3.208, absmax=14.12 +2025-11-04 13:43:15,372 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.09, mean=-0.08892, std=2.975, absmax=11.18 +2025-11-04 13:43:15,728 ERROR: Encountered non-finite generator loss at iter 24540; skipping update. +2025-11-04 13:43:15,729 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,729 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,730 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:15,730 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:15,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=10.09, mean=-0.261, std=2.496, absmax=11.69 +2025-11-04 13:43:15,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=9.121, mean=-0.2644, std=2.433, absmax=10.18 +2025-11-04 13:43:16,087 ERROR: Encountered non-finite generator loss at iter 24541; skipping update. +2025-11-04 13:43:16,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:16,090 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.81, mean=-0.2254, std=2.947, absmax=12.87 +2025-11-04 13:43:16,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.62, mean=-0.2166, std=2.74, absmax=11.76 +2025-11-04 13:43:16,446 ERROR: Encountered non-finite generator loss at iter 24542; skipping update. +2025-11-04 13:43:16,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,448 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:16,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.24, mean=-0.1097, std=3.017, absmax=14.24 +2025-11-04 13:43:16,449 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=12.37, mean=-0.02763, std=2.934, absmax=12.44 +2025-11-04 13:43:16,806 ERROR: Encountered non-finite generator loss at iter 24543; skipping update. +2025-11-04 13:43:16,807 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,807 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,808 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:16,808 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:16,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.4, mean=-0.3601, std=3.332, absmax=13.58 +2025-11-04 13:43:16,809 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.36, max=9.722, mean=-0.3171, std=3.029, absmax=14.36 +2025-11-04 13:43:17,165 ERROR: Encountered non-finite generator loss at iter 24544; skipping update. +2025-11-04 13:43:17,166 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,167 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,167 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,167 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:17,168 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=10.61, mean=-0.1657, std=2.879, absmax=13.08 +2025-11-04 13:43:17,168 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=10.54, mean=-0.1687, std=2.796, absmax=12.79 +2025-11-04 13:43:17,524 ERROR: Encountered non-finite generator loss at iter 24545; skipping update. +2025-11-04 13:43:17,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,527 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,527 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:17,528 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.04, mean=-0.277, std=3.069, absmax=13.95 +2025-11-04 13:43:17,528 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.85, mean=-0.2714, std=2.846, absmax=11.5 +2025-11-04 13:43:17,884 ERROR: Encountered non-finite generator loss at iter 24546; skipping update. +2025-11-04 13:43:17,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,886 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:17,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:17,887 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.86, max=12.8, mean=-0.1695, std=3.575, absmax=17.86 +2025-11-04 13:43:17,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-17.02, max=12.95, mean=-0.1209, std=3.353, absmax=17.02 +2025-11-04 13:43:18,243 ERROR: Encountered non-finite generator loss at iter 24547; skipping update. +2025-11-04 13:43:18,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:18,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.56, max=13.64, mean=-0.1415, std=2.87, absmax=15.56 +2025-11-04 13:43:18,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.15, mean=-0.1246, std=2.594, absmax=11.15 +2025-11-04 13:43:18,603 ERROR: Encountered non-finite generator loss at iter 24548; skipping update. +2025-11-04 13:43:18,604 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,605 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:18,606 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=10.81, mean=-0.1763, std=2.714, absmax=13.93 +2025-11-04 13:43:18,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.33, max=12.06, mean=-0.1816, std=2.664, absmax=13.33 +2025-11-04 13:43:18,963 ERROR: Encountered non-finite generator loss at iter 24549; skipping update. +2025-11-04 13:43:18,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:18,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:18,965 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=14.92, mean=-0.06095, std=3.301, absmax=14.92 +2025-11-04 13:43:18,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=13.8, mean=-0.06221, std=3.079, absmax=13.8 +2025-11-04 13:43:19,323 ERROR: Encountered non-finite generator loss at iter 24550; skipping update. +2025-11-04 13:43:19,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:19,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:19,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:19,325 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:19,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=11.36, mean=-0.1306, std=2.544, absmax=11.36 +2025-11-04 13:43:19,326 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.18, max=10.62, mean=-0.1405, std=2.426, absmax=10.62 +2025-11-04 13:43:19,683 ERROR: Encountered non-finite generator loss at iter 24551; skipping update. +2025-11-04 13:43:19,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:19,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:19,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:19,685 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:19,686 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=13.17, mean=-0.1577, std=3.055, absmax=13.17 +2025-11-04 13:43:19,686 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=12.28, mean=-0.08645, std=2.922, absmax=12.28 +2025-11-04 13:43:20,043 ERROR: Encountered non-finite generator loss at iter 24552; skipping update. +2025-11-04 13:43:20,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,044 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,045 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:20,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.57, max=13.97, mean=-0.1925, std=3.507, absmax=14.57 +2025-11-04 13:43:20,046 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.34, mean=-0.2098, std=3.2, absmax=12.97 +2025-11-04 13:43:20,403 ERROR: Encountered non-finite generator loss at iter 24553; skipping update. +2025-11-04 13:43:20,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:20,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=11.74, mean=-0.08171, std=2.891, absmax=12.18 +2025-11-04 13:43:20,407 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.44, mean=-0.06096, std=2.689, absmax=10.68 +2025-11-04 13:43:20,763 ERROR: Encountered non-finite generator loss at iter 24554; skipping update. +2025-11-04 13:43:20,764 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:20,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:20,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=16.34, mean=-0.0318, std=3.665, absmax=16.34 +2025-11-04 13:43:20,767 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=13.24, mean=-0.01871, std=3.327, absmax=13.24 +2025-11-04 13:43:21,123 ERROR: Encountered non-finite generator loss at iter 24555; skipping update. +2025-11-04 13:43:21,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,126 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:21,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.52, mean=-0.04775, std=3.081, absmax=13.52 +2025-11-04 13:43:21,127 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=11.9, mean=-0.06829, std=2.796, absmax=11.9 +2025-11-04 13:43:21,483 ERROR: Encountered non-finite generator loss at iter 24556; skipping update. +2025-11-04 13:43:21,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,486 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:21,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=13.86, mean=-0.2124, std=3.023, absmax=13.86 +2025-11-04 13:43:21,487 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.69, mean=-0.1942, std=2.824, absmax=12.69 +2025-11-04 13:43:21,843 ERROR: Encountered non-finite generator loss at iter 24557; skipping update. +2025-11-04 13:43:21,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:21,846 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:21,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=18.7, mean=0.02362, std=3.119, absmax=18.7 +2025-11-04 13:43:21,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=13.99, mean=0.02246, std=2.912, absmax=13.99 +2025-11-04 13:43:22,204 ERROR: Encountered non-finite generator loss at iter 24558; skipping update. +2025-11-04 13:43:22,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,206 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:22,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=13.98, mean=-0.1774, std=2.871, absmax=13.98 +2025-11-04 13:43:22,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.51, mean=-0.1901, std=2.647, absmax=12.51 +2025-11-04 13:43:22,564 ERROR: Encountered non-finite generator loss at iter 24559; skipping update. +2025-11-04 13:43:22,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:22,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=14.58, mean=-0.1019, std=2.887, absmax=14.58 +2025-11-04 13:43:22,568 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=13.46, mean=-0.0632, std=2.749, absmax=13.46 +2025-11-04 13:43:22,925 ERROR: Encountered non-finite generator loss at iter 24560; skipping update. +2025-11-04 13:43:22,926 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,926 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:22,927 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:22,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.33, mean=-0.1863, std=2.897, absmax=13.13 +2025-11-04 13:43:22,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.17, mean=-0.1518, std=2.717, absmax=11.46 +2025-11-04 13:43:23,285 ERROR: Encountered non-finite generator loss at iter 24561; skipping update. +2025-11-04 13:43:23,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:23,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:23,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:23,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:23,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=12.94, mean=-0.2555, std=2.892, absmax=14.4 +2025-11-04 13:43:23,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=11.48, mean=-0.2346, std=2.667, absmax=12.65 +2025-11-04 13:43:23,645 ERROR: Encountered non-finite generator loss at iter 24562; skipping update. +2025-11-04 13:43:23,647 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:23,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:23,647 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:23,648 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:23,648 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.41, mean=-0.2114, std=3.61, absmax=14.41 +2025-11-04 13:43:23,649 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=13.23, mean=-0.2184, std=3.351, absmax=13.23 +2025-11-04 13:43:24,006 ERROR: Encountered non-finite generator loss at iter 24563; skipping update. +2025-11-04 13:43:24,007 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,008 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,008 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:24,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.51, mean=-0.105, std=3.083, absmax=13.51 +2025-11-04 13:43:24,009 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=13.62, mean=-0.126, std=2.815, absmax=13.62 +2025-11-04 13:43:24,366 ERROR: Encountered non-finite generator loss at iter 24564; skipping update. +2025-11-04 13:43:24,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:24,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=17.99, mean=-0.2169, std=3.235, absmax=17.99 +2025-11-04 13:43:24,369 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=12.53, mean=-0.1935, std=2.975, absmax=12.86 +2025-11-04 13:43:24,726 ERROR: Encountered non-finite generator loss at iter 24565; skipping update. +2025-11-04 13:43:24,727 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,728 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:24,728 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:24,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=14.85, mean=-0.01288, std=2.89, absmax=14.85 +2025-11-04 13:43:24,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=13.36, mean=-0.007909, std=2.719, absmax=13.36 +2025-11-04 13:43:25,086 ERROR: Encountered non-finite generator loss at iter 24566; skipping update. +2025-11-04 13:43:25,087 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,088 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,088 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:25,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.14, max=14.58, mean=0.0005272, std=2.816, absmax=14.58 +2025-11-04 13:43:25,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.914, max=14.71, mean=0.01611, std=2.733, absmax=14.71 +2025-11-04 13:43:25,446 ERROR: Encountered non-finite generator loss at iter 24567; skipping update. +2025-11-04 13:43:25,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:25,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.69, max=13.91, mean=-0.2541, std=3.368, absmax=15.69 +2025-11-04 13:43:25,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.71, max=12.65, mean=-0.2403, std=3.163, absmax=13.71 +2025-11-04 13:43:25,807 ERROR: Encountered non-finite generator loss at iter 24568; skipping update. +2025-11-04 13:43:25,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,808 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:25,809 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:25,809 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=13.5, mean=0.01746, std=3.157, absmax=13.74 +2025-11-04 13:43:25,810 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.9, mean=0.005352, std=2.954, absmax=12.9 +2025-11-04 13:43:26,166 ERROR: Encountered non-finite generator loss at iter 24569; skipping update. +2025-11-04 13:43:26,167 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,168 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:26,169 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.52, max=16.14, mean=0.03585, std=4.046, absmax=16.52 +2025-11-04 13:43:26,170 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.24, max=17, mean=0.0536, std=3.718, absmax=17 +2025-11-04 13:43:26,526 ERROR: Encountered non-finite generator loss at iter 24570; skipping update. +2025-11-04 13:43:26,528 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,529 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:26,529 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=13.39, mean=-0.3054, std=2.827, absmax=13.39 +2025-11-04 13:43:26,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=11.19, mean=-0.2727, std=2.658, absmax=12.88 +2025-11-04 13:43:26,887 ERROR: Encountered non-finite generator loss at iter 24571; skipping update. +2025-11-04 13:43:26,888 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,888 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:26,889 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:26,889 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=9.255, mean=-0.2063, std=2.637, absmax=11.49 +2025-11-04 13:43:26,890 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.527, mean=-0.2347, std=2.738, absmax=11.4 +2025-11-04 13:43:27,246 ERROR: Encountered non-finite generator loss at iter 24572; skipping update. +2025-11-04 13:43:27,247 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,248 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,248 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,249 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:27,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=13.24, mean=-0.04605, std=2.552, absmax=13.24 +2025-11-04 13:43:27,250 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10, max=12.06, mean=-0.02582, std=2.421, absmax=12.06 +2025-11-04 13:43:27,607 ERROR: Encountered non-finite generator loss at iter 24573; skipping update. +2025-11-04 13:43:27,608 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,608 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,609 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,609 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:27,610 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11.42, mean=-0.07824, std=2.888, absmax=13.63 +2025-11-04 13:43:27,610 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=10.53, mean=-0.04886, std=2.719, absmax=11.55 +2025-11-04 13:43:27,967 ERROR: Encountered non-finite generator loss at iter 24574; skipping update. +2025-11-04 13:43:27,968 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,969 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:27,969 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:27,970 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=15.16, mean=0.01793, std=3.602, absmax=15.16 +2025-11-04 13:43:27,970 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=15.03, mean=0.02206, std=3.402, absmax=15.03 +2025-11-04 13:43:28,327 ERROR: Encountered non-finite generator loss at iter 24575; skipping update. +2025-11-04 13:43:28,328 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:28,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:28,329 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:28,329 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:28,330 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.58, mean=-0.1011, std=3.029, absmax=13.58 +2025-11-04 13:43:28,330 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.58, mean=-0.05635, std=2.833, absmax=11.58 +2025-11-04 13:43:28,687 ERROR: Encountered non-finite generator loss at iter 24576; skipping update. +2025-11-04 13:43:28,688 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:28,689 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:28,689 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:28,689 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:28,690 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=12.71, mean=-0.02438, std=3.032, absmax=13.94 +2025-11-04 13:43:28,690 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=12.02, mean=-0.0362, std=2.71, absmax=13.24 +2025-11-04 13:43:29,047 ERROR: Encountered non-finite generator loss at iter 24577; skipping update. +2025-11-04 13:43:29,048 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,049 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,049 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:29,050 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.21, max=15.49, mean=-0.139, std=3.236, absmax=15.49 +2025-11-04 13:43:29,051 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.57, mean=-0.0966, std=2.898, absmax=12.76 +2025-11-04 13:43:29,407 ERROR: Encountered non-finite generator loss at iter 24578; skipping update. +2025-11-04 13:43:29,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:29,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.75, max=13.27, mean=-0.307, std=3.678, absmax=15.75 +2025-11-04 13:43:29,411 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.49, max=12.35, mean=-0.2919, std=3.285, absmax=14.49 +2025-11-04 13:43:29,767 ERROR: Encountered non-finite generator loss at iter 24579; skipping update. +2025-11-04 13:43:29,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,769 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,769 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:29,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:29,770 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=15.6, mean=-0.0846, std=3.315, absmax=15.6 +2025-11-04 13:43:29,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=13.33, mean=-0.08995, std=3.108, absmax=13.33 +2025-11-04 13:43:30,127 ERROR: Encountered non-finite generator loss at iter 24580; skipping update. +2025-11-04 13:43:30,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,129 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:30,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=12.15, mean=-0.01645, std=2.705, absmax=12.15 +2025-11-04 13:43:30,130 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=10.78, mean=-0.003403, std=2.631, absmax=11.17 +2025-11-04 13:43:30,487 ERROR: Encountered non-finite generator loss at iter 24581; skipping update. +2025-11-04 13:43:30,488 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,489 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,490 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:30,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.25, mean=-0.2246, std=3.085, absmax=13.25 +2025-11-04 13:43:30,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=10.87, mean=-0.2082, std=2.793, absmax=11.67 +2025-11-04 13:43:30,847 ERROR: Encountered non-finite generator loss at iter 24582; skipping update. +2025-11-04 13:43:30,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,849 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:30,850 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:30,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=13.46, mean=-0.2289, std=2.84, absmax=13.46 +2025-11-04 13:43:30,851 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=12.98, mean=-0.2523, std=2.761, absmax=12.98 +2025-11-04 13:43:31,207 ERROR: Encountered non-finite generator loss at iter 24583; skipping update. +2025-11-04 13:43:31,209 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,209 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,210 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:31,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=12.81, mean=-0.1454, std=3.283, absmax=13.67 +2025-11-04 13:43:31,211 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.67, max=10.82, mean=-0.1855, std=3.098, absmax=13.67 +2025-11-04 13:43:31,567 ERROR: Encountered non-finite generator loss at iter 24584; skipping update. +2025-11-04 13:43:31,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,569 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,570 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:31,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.63, max=12.76, mean=-0.2869, std=2.938, absmax=12.76 +2025-11-04 13:43:31,571 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=11.64, mean=-0.2222, std=2.741, absmax=11.64 +2025-11-04 13:43:31,928 ERROR: Encountered non-finite generator loss at iter 24585; skipping update. +2025-11-04 13:43:31,930 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,931 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:31,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:31,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.98, max=15.21, mean=-0.07173, std=2.914, absmax=15.98 +2025-11-04 13:43:31,934 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=13.62, mean=-0.04775, std=2.685, absmax=13.62 +2025-11-04 13:43:32,292 ERROR: Encountered non-finite generator loss at iter 24586; skipping update. +2025-11-04 13:43:32,294 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:32,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:32,295 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:32,295 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:32,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=13.33, mean=-0.3116, std=3.135, absmax=13.95 +2025-11-04 13:43:32,297 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=11.52, mean=-0.3162, std=2.993, absmax=12.63 +2025-11-04 13:43:32,655 ERROR: Encountered non-finite generator loss at iter 24587; skipping update. +2025-11-04 13:43:32,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:32,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:32,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:32,657 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:32,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=11.12, mean=-0.02592, std=2.933, absmax=13.12 +2025-11-04 13:43:32,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.11, max=11.1, mean=-0.01951, std=2.711, absmax=11.1 +2025-11-04 13:43:33,017 ERROR: Encountered non-finite generator loss at iter 24588; skipping update. +2025-11-04 13:43:33,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:33,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=12, mean=-0.2232, std=2.812, absmax=14.06 +2025-11-04 13:43:33,022 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=10.43, mean=-0.2328, std=2.582, absmax=12 +2025-11-04 13:43:33,379 ERROR: Encountered non-finite generator loss at iter 24589; skipping update. +2025-11-04 13:43:33,380 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,380 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,381 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:33,381 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=15.23, mean=-0.3106, std=2.808, absmax=15.23 +2025-11-04 13:43:33,382 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=14.99, mean=-0.3013, std=2.657, absmax=14.99 +2025-11-04 13:43:33,738 ERROR: Encountered non-finite generator loss at iter 24590; skipping update. +2025-11-04 13:43:33,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:33,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:33,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.14, mean=0.06819, std=3.112, absmax=12.14 +2025-11-04 13:43:33,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.08, mean=0.06441, std=2.947, absmax=11.39 +2025-11-04 13:43:34,097 ERROR: Encountered non-finite generator loss at iter 24591; skipping update. +2025-11-04 13:43:34,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:34,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.61, max=14.22, mean=-0.1729, std=3.252, absmax=14.61 +2025-11-04 13:43:34,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=13.52, mean=-0.1511, std=3.005, absmax=13.66 +2025-11-04 13:43:34,457 ERROR: Encountered non-finite generator loss at iter 24592; skipping update. +2025-11-04 13:43:34,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:34,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=11.56, mean=-0.00911, std=3.34, absmax=12.15 +2025-11-04 13:43:34,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=11.46, mean=-0.009918, std=3.081, absmax=11.46 +2025-11-04 13:43:34,817 ERROR: Encountered non-finite generator loss at iter 24593; skipping update. +2025-11-04 13:43:34,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:34,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:34,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.33, mean=-0.165, std=2.839, absmax=14.33 +2025-11-04 13:43:34,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.43, mean=-0.1505, std=2.63, absmax=12.95 +2025-11-04 13:43:35,176 ERROR: Encountered non-finite generator loss at iter 24594; skipping update. +2025-11-04 13:43:35,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:35,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.45, mean=-0.1616, std=2.824, absmax=13.45 +2025-11-04 13:43:35,179 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=12.85, mean=-0.1386, std=2.699, absmax=12.85 +2025-11-04 13:43:35,536 ERROR: Encountered non-finite generator loss at iter 24595; skipping update. +2025-11-04 13:43:35,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,537 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,538 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:35,538 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.38, mean=-0.0258, std=2.776, absmax=11.38 +2025-11-04 13:43:35,539 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.642, max=11.09, mean=0.05324, std=2.689, absmax=11.09 +2025-11-04 13:43:35,895 ERROR: Encountered non-finite generator loss at iter 24596; skipping update. +2025-11-04 13:43:35,896 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,896 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,897 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:35,897 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:35,898 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.88, mean=-0.2761, std=2.95, absmax=12.88 +2025-11-04 13:43:35,898 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=10.63, mean=-0.2856, std=2.71, absmax=11.23 +2025-11-04 13:43:36,254 ERROR: Encountered non-finite generator loss at iter 24597; skipping update. +2025-11-04 13:43:36,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:36,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=13.6, mean=-0.1731, std=2.788, absmax=14.59 +2025-11-04 13:43:36,258 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=11.73, mean=-0.1715, std=2.591, absmax=12.6 +2025-11-04 13:43:36,614 ERROR: Encountered non-finite generator loss at iter 24598; skipping update. +2025-11-04 13:43:36,615 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,615 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:36,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=14.91, mean=-0.03323, std=3.645, absmax=14.91 +2025-11-04 13:43:36,617 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=13.66, mean=-0.0386, std=3.474, absmax=13.66 +2025-11-04 13:43:36,973 ERROR: Encountered non-finite generator loss at iter 24599; skipping update. +2025-11-04 13:43:36,974 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,975 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:36,975 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:36,976 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=14.14, mean=0.1258, std=3.493, absmax=14.41 +2025-11-04 13:43:36,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.02, max=13.5, mean=0.1118, std=3.206, absmax=14.02 +2025-11-04 13:43:37,333 ERROR: Encountered non-finite generator loss at iter 24600; skipping update. +2025-11-04 13:43:37,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:37,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:37,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:37,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:37,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=13.64, mean=-0.3121, std=2.955, absmax=14.56 +2025-11-04 13:43:37,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.9, max=10.82, mean=-0.3568, std=2.912, absmax=13.9 +2025-11-04 13:43:37,337 INFO: [38..][epoch: 0, step: 24,600, lr:(2.000e-04,)] [eta: 1 day, 3:30:21, time (data): 0.360 (0.000)] +2025-11-04 13:43:37,693 ERROR: Encountered non-finite generator loss at iter 24601; skipping update. +2025-11-04 13:43:37,694 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:37,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:37,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:37,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:37,696 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=13.08, mean=-0.05487, std=4.03, absmax=14.46 +2025-11-04 13:43:37,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=11.69, mean=-0.09666, std=3.786, absmax=13.94 +2025-11-04 13:43:38,053 ERROR: Encountered non-finite generator loss at iter 24602; skipping update. +2025-11-04 13:43:38,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:38,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.02, max=11.83, mean=-0.201, std=2.561, absmax=11.83 +2025-11-04 13:43:38,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.421, max=12.6, mean=-0.1615, std=2.675, absmax=12.6 +2025-11-04 13:43:38,413 ERROR: Encountered non-finite generator loss at iter 24603; skipping update. +2025-11-04 13:43:38,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:38,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=13.38, mean=-0.1714, std=3.07, absmax=13.38 +2025-11-04 13:43:38,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=10.53, mean=-0.1759, std=2.818, absmax=10.88 +2025-11-04 13:43:38,773 ERROR: Encountered non-finite generator loss at iter 24604; skipping update. +2025-11-04 13:43:38,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:38,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:38,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.21, mean=-0.1987, std=3.087, absmax=12.37 +2025-11-04 13:43:38,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.39, mean=-0.1595, std=2.871, absmax=11.39 +2025-11-04 13:43:39,133 ERROR: Encountered non-finite generator loss at iter 24605; skipping update. +2025-11-04 13:43:39,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:39,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.34, max=19.47, mean=0.07045, std=3.77, absmax=19.47 +2025-11-04 13:43:39,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=17.26, mean=0.06389, std=3.477, absmax=17.26 +2025-11-04 13:43:39,493 ERROR: Encountered non-finite generator loss at iter 24606; skipping update. +2025-11-04 13:43:39,494 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,495 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,495 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:39,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=13.52, mean=-0.07415, std=3.192, absmax=15.29 +2025-11-04 13:43:39,496 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.02, max=12.38, mean=-0.09158, std=2.862, absmax=14.02 +2025-11-04 13:43:39,852 ERROR: Encountered non-finite generator loss at iter 24607; skipping update. +2025-11-04 13:43:39,854 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:39,855 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:39,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.79, max=12.74, mean=-0.2474, std=2.444, absmax=12.74 +2025-11-04 13:43:39,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.358, max=10.95, mean=-0.2636, std=2.287, absmax=10.95 +2025-11-04 13:43:40,212 ERROR: Encountered non-finite generator loss at iter 24608; skipping update. +2025-11-04 13:43:40,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,214 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,215 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:40,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=13.75, mean=0.01496, std=4.324, absmax=14.88 +2025-11-04 13:43:40,216 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.95, max=13.21, mean=-0.0004285, std=4.156, absmax=13.95 +2025-11-04 13:43:40,572 ERROR: Encountered non-finite generator loss at iter 24609; skipping update. +2025-11-04 13:43:40,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,574 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,575 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:40,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.75, max=12.3, mean=-0.1117, std=2.854, absmax=12.3 +2025-11-04 13:43:40,576 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=12.03, mean=-0.117, std=2.604, absmax=12.03 +2025-11-04 13:43:40,933 ERROR: Encountered non-finite generator loss at iter 24610; skipping update. +2025-11-04 13:43:40,934 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:40,935 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:40,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.1, mean=-0.1429, std=2.937, absmax=13.1 +2025-11-04 13:43:40,936 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.09, mean=-0.1147, std=2.731, absmax=12.34 +2025-11-04 13:43:41,292 ERROR: Encountered non-finite generator loss at iter 24611; skipping update. +2025-11-04 13:43:41,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:41,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:41,294 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:41,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:41,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.31, mean=-0.2449, std=2.69, absmax=13.35 +2025-11-04 13:43:41,295 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=9.763, mean=-0.228, std=2.435, absmax=11.85 +2025-11-04 13:43:41,652 ERROR: Encountered non-finite generator loss at iter 24612; skipping update. +2025-11-04 13:43:41,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:41,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:41,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:41,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:41,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=11.03, mean=-0.1963, std=2.357, absmax=12.4 +2025-11-04 13:43:41,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=10.58, mean=-0.2219, std=2.273, absmax=11 +2025-11-04 13:43:42,012 ERROR: Encountered non-finite generator loss at iter 24613; skipping update. +2025-11-04 13:43:42,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,014 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:42,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=15.24, mean=-0.1385, std=3.311, absmax=15.24 +2025-11-04 13:43:42,016 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=13.08, mean=-0.1475, std=2.999, absmax=13.08 +2025-11-04 13:43:42,372 ERROR: Encountered non-finite generator loss at iter 24614; skipping update. +2025-11-04 13:43:42,373 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:42,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=13.96, mean=-0.143, std=3.357, absmax=13.96 +2025-11-04 13:43:42,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.51, mean=-0.08747, std=3.152, absmax=12.51 +2025-11-04 13:43:42,732 ERROR: Encountered non-finite generator loss at iter 24615; skipping update. +2025-11-04 13:43:42,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,734 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:42,734 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:42,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.57, mean=0.006811, std=3.132, absmax=12.73 +2025-11-04 13:43:42,735 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.6, mean=0.02713, std=2.909, absmax=12.6 +2025-11-04 13:43:43,092 ERROR: Encountered non-finite generator loss at iter 24616; skipping update. +2025-11-04 13:43:43,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,094 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:43,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=13.63, mean=0.02633, std=2.716, absmax=15.72 +2025-11-04 13:43:43,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.53, max=10.87, mean=0.02352, std=2.538, absmax=14.53 +2025-11-04 13:43:43,452 ERROR: Encountered non-finite generator loss at iter 24617; skipping update. +2025-11-04 13:43:43,453 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,454 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,454 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:43,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=11.96, mean=-0.03575, std=2.61, absmax=12.36 +2025-11-04 13:43:43,455 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.449, max=9.864, mean=-0.09157, std=2.375, absmax=9.864 +2025-11-04 13:43:43,811 ERROR: Encountered non-finite generator loss at iter 24618; skipping update. +2025-11-04 13:43:43,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:43,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:43,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=15.65, mean=0.243, std=3.599, absmax=15.65 +2025-11-04 13:43:43,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.45, max=14.11, mean=0.2348, std=3.305, absmax=14.45 +2025-11-04 13:43:44,170 ERROR: Encountered non-finite generator loss at iter 24619; skipping update. +2025-11-04 13:43:44,172 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,172 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,173 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:44,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=14.83, mean=-0.3024, std=2.746, absmax=14.83 +2025-11-04 13:43:44,174 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=14.93, mean=-0.29, std=2.628, absmax=14.93 +2025-11-04 13:43:44,531 ERROR: Encountered non-finite generator loss at iter 24620; skipping update. +2025-11-04 13:43:44,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:44,533 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=16.62, mean=-0.2495, std=3.139, absmax=16.62 +2025-11-04 13:43:44,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=13.34, mean=-0.2338, std=2.865, absmax=13.34 +2025-11-04 13:43:44,890 ERROR: Encountered non-finite generator loss at iter 24621; skipping update. +2025-11-04 13:43:44,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:44,892 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:44,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.61, mean=-0.258, std=2.46, absmax=12.22 +2025-11-04 13:43:44,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=10.66, mean=-0.2606, std=2.275, absmax=10.84 +2025-11-04 13:43:45,250 ERROR: Encountered non-finite generator loss at iter 24622; skipping update. +2025-11-04 13:43:45,251 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,252 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:45,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=12.96, mean=-0.1147, std=3.075, absmax=13.44 +2025-11-04 13:43:45,253 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.25, max=11.66, mean=-0.1191, std=2.925, absmax=14.25 +2025-11-04 13:43:45,610 ERROR: Encountered non-finite generator loss at iter 24623; skipping update. +2025-11-04 13:43:45,611 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,611 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,612 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:45,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.94, mean=-0.1914, std=2.921, absmax=12.94 +2025-11-04 13:43:45,613 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=12.82, mean=-0.2111, std=2.821, absmax=12.82 +2025-11-04 13:43:45,969 ERROR: Encountered non-finite generator loss at iter 24624; skipping update. +2025-11-04 13:43:45,970 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:45,971 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:45,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=15.79, mean=-0.2691, std=3.485, absmax=15.79 +2025-11-04 13:43:45,973 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.85, mean=-0.2231, std=3.195, absmax=12.1 +2025-11-04 13:43:46,330 ERROR: Encountered non-finite generator loss at iter 24625; skipping update. +2025-11-04 13:43:46,331 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:46,331 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:46,332 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:46,332 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:46,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.26, max=11.75, mean=-0.1733, std=3.131, absmax=15.26 +2025-11-04 13:43:46,333 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.95, max=9.869, mean=-0.1925, std=2.934, absmax=13.95 +2025-11-04 13:43:46,689 ERROR: Encountered non-finite generator loss at iter 24626; skipping update. +2025-11-04 13:43:46,691 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:46,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:46,691 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:46,692 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:46,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.99, mean=-0.2381, std=3.064, absmax=13.99 +2025-11-04 13:43:46,693 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=12.25, mean=-0.2158, std=2.876, absmax=12.25 +2025-11-04 13:43:47,050 ERROR: Encountered non-finite generator loss at iter 24627; skipping update. +2025-11-04 13:43:47,051 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,052 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,052 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:47,053 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.02, mean=-0.1768, std=2.815, absmax=13.02 +2025-11-04 13:43:47,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=11.04, mean=-0.2258, std=2.734, absmax=11.09 +2025-11-04 13:43:47,410 ERROR: Encountered non-finite generator loss at iter 24628; skipping update. +2025-11-04 13:43:47,411 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,412 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,412 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:47,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.81, mean=-0.148, std=2.879, absmax=13.81 +2025-11-04 13:43:47,413 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=10.94, mean=-0.1495, std=2.624, absmax=11.03 +2025-11-04 13:43:47,770 ERROR: Encountered non-finite generator loss at iter 24629; skipping update. +2025-11-04 13:43:47,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,772 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:47,772 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:47,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.2, mean=-0.2516, std=3.394, absmax=13.2 +2025-11-04 13:43:47,773 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=11.57, mean=-0.2444, std=3.132, absmax=12.41 +2025-11-04 13:43:48,130 ERROR: Encountered non-finite generator loss at iter 24630; skipping update. +2025-11-04 13:43:48,131 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,132 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,132 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:48,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.5, max=13.53, mean=-0.3759, std=3.115, absmax=15.5 +2025-11-04 13:43:48,133 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.17, max=11.05, mean=-0.3617, std=2.836, absmax=13.17 +2025-11-04 13:43:48,490 ERROR: Encountered non-finite generator loss at iter 24631; skipping update. +2025-11-04 13:43:48,491 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,492 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,492 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:48,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=11.43, mean=-0.1955, std=3.093, absmax=11.92 +2025-11-04 13:43:48,493 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=11.02, mean=-0.1566, std=2.93, absmax=11.44 +2025-11-04 13:43:48,850 ERROR: Encountered non-finite generator loss at iter 24632; skipping update. +2025-11-04 13:43:48,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,852 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:48,852 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:48,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.65, mean=0.02125, std=2.986, absmax=13.94 +2025-11-04 13:43:48,853 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=12.61, mean=0.06874, std=2.795, absmax=12.61 +2025-11-04 13:43:49,210 ERROR: Encountered non-finite generator loss at iter 24633; skipping update. +2025-11-04 13:43:49,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,212 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:49,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.67, max=12.12, mean=-0.1895, std=2.503, absmax=12.12 +2025-11-04 13:43:49,213 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=10.31, mean=-0.2279, std=2.501, absmax=10.56 +2025-11-04 13:43:49,570 ERROR: Encountered non-finite generator loss at iter 24634; skipping update. +2025-11-04 13:43:49,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,571 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:49,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=15.97, mean=-0.01061, std=3.982, absmax=15.97 +2025-11-04 13:43:49,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=15.17, mean=-0.01351, std=3.753, absmax=15.17 +2025-11-04 13:43:49,930 ERROR: Encountered non-finite generator loss at iter 24635; skipping update. +2025-11-04 13:43:49,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,932 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:49,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:49,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=12.82, mean=-0.124, std=2.803, absmax=12.82 +2025-11-04 13:43:49,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.708, max=12.79, mean=-0.1414, std=2.684, absmax=12.79 +2025-11-04 13:43:50,289 ERROR: Encountered non-finite generator loss at iter 24636; skipping update. +2025-11-04 13:43:50,291 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:50,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:50,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:50,292 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:50,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=16.9, mean=-0.07504, std=3.518, absmax=16.9 +2025-11-04 13:43:50,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=14.53, mean=-0.08096, std=3.262, absmax=14.53 +2025-11-04 13:43:50,650 ERROR: Encountered non-finite generator loss at iter 24637; skipping update. +2025-11-04 13:43:50,651 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:50,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:50,652 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:50,652 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:50,653 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=12.73, mean=-0.1206, std=3.104, absmax=13.47 +2025-11-04 13:43:50,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=9.862, mean=-0.1254, std=2.949, absmax=11.86 +2025-11-04 13:43:51,010 ERROR: Encountered non-finite generator loss at iter 24638; skipping update. +2025-11-04 13:43:51,011 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,012 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,012 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:51,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.36, mean=-0.1644, std=2.811, absmax=13.36 +2025-11-04 13:43:51,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.27, mean=-0.1974, std=2.573, absmax=12.34 +2025-11-04 13:43:51,370 ERROR: Encountered non-finite generator loss at iter 24639; skipping update. +2025-11-04 13:43:51,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:51,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=13.1, mean=-0.2275, std=2.755, absmax=13.1 +2025-11-04 13:43:51,373 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=10.52, mean=-0.2009, std=2.594, absmax=11.55 +2025-11-04 13:43:51,730 ERROR: Encountered non-finite generator loss at iter 24640; skipping update. +2025-11-04 13:43:51,731 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:51,732 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:51,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=13.49, mean=0.03815, std=2.998, absmax=13.49 +2025-11-04 13:43:51,733 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=12.47, mean=0.02274, std=2.795, absmax=12.47 +2025-11-04 13:43:52,090 ERROR: Encountered non-finite generator loss at iter 24641; skipping update. +2025-11-04 13:43:52,091 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,092 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,092 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:52,093 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=12.23, mean=-0.1731, std=3.159, absmax=14.44 +2025-11-04 13:43:52,093 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=10.84, mean=-0.1655, std=2.985, absmax=12.46 +2025-11-04 13:43:52,450 ERROR: Encountered non-finite generator loss at iter 24642; skipping update. +2025-11-04 13:43:52,451 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,452 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,452 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:52,453 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.26, mean=-0.09182, std=3.105, absmax=13.61 +2025-11-04 13:43:52,453 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=10.3, mean=-0.07097, std=2.81, absmax=11.09 +2025-11-04 13:43:52,810 ERROR: Encountered non-finite generator loss at iter 24643; skipping update. +2025-11-04 13:43:52,811 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,812 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:52,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:52,813 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=13.3, mean=-0.06205, std=2.895, absmax=13.87 +2025-11-04 13:43:52,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=12.08, mean=-0.0417, std=2.621, absmax=12.08 +2025-11-04 13:43:53,170 ERROR: Encountered non-finite generator loss at iter 24644; skipping update. +2025-11-04 13:43:53,171 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,172 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,172 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:53,173 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=18.57, mean=-0.2313, std=2.974, absmax=18.57 +2025-11-04 13:43:53,173 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=17.21, mean=-0.2163, std=2.905, absmax=17.21 +2025-11-04 13:43:53,530 ERROR: Encountered non-finite generator loss at iter 24645; skipping update. +2025-11-04 13:43:53,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,531 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,532 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,532 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:53,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=11.73, mean=-0.3398, std=2.776, absmax=13.4 +2025-11-04 13:43:53,533 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.45, mean=-0.2626, std=2.631, absmax=10.85 +2025-11-04 13:43:53,889 ERROR: Encountered non-finite generator loss at iter 24646; skipping update. +2025-11-04 13:43:53,890 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,891 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:53,891 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:53,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.44, mean=0.05192, std=3.382, absmax=13.44 +2025-11-04 13:43:53,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=12.41, mean=0.03919, std=3.079, absmax=12.79 +2025-11-04 13:43:54,248 ERROR: Encountered non-finite generator loss at iter 24647; skipping update. +2025-11-04 13:43:54,250 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,251 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,251 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:54,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=14.04, mean=-0.1613, std=3.379, absmax=14.04 +2025-11-04 13:43:54,252 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=12.42, mean=-0.1654, std=3.15, absmax=12.42 +2025-11-04 13:43:54,609 ERROR: Encountered non-finite generator loss at iter 24648; skipping update. +2025-11-04 13:43:54,610 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,611 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,611 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,611 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:54,612 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=9.555, mean=-0.344, std=2.79, absmax=11.74 +2025-11-04 13:43:54,613 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=9.937, mean=-0.3594, std=2.702, absmax=11.74 +2025-11-04 13:43:54,969 ERROR: Encountered non-finite generator loss at iter 24649; skipping update. +2025-11-04 13:43:54,971 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:54,972 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:54,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=12.22, mean=-0.05834, std=2.985, absmax=12.29 +2025-11-04 13:43:54,973 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=10.9, mean=-0.05853, std=2.732, absmax=10.9 +2025-11-04 13:43:55,330 ERROR: Encountered non-finite generator loss at iter 24650; skipping update. +2025-11-04 13:43:55,331 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:55,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:55,332 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:55,333 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:55,333 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.47, mean=0.06156, std=2.886, absmax=12.45 +2025-11-04 13:43:55,334 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=9.779, mean=0.03643, std=2.673, absmax=10.42 +2025-11-04 13:43:55,690 ERROR: Encountered non-finite generator loss at iter 24651; skipping update. +2025-11-04 13:43:55,691 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:55,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:55,692 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:55,696 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:55,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.7, mean=-0.03703, std=3.42, absmax=13.7 +2025-11-04 13:43:55,697 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=13.2, mean=-0.0444, std=3.195, absmax=13.2 +2025-11-04 13:43:56,054 ERROR: Encountered non-finite generator loss at iter 24652; skipping update. +2025-11-04 13:43:56,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:56,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=13.16, mean=-0.2404, std=2.859, absmax=14.67 +2025-11-04 13:43:56,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=11.42, mean=-0.2344, std=2.646, absmax=12.66 +2025-11-04 13:43:56,413 ERROR: Encountered non-finite generator loss at iter 24653; skipping update. +2025-11-04 13:43:56,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:56,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=15.45, mean=-0.1455, std=3.236, absmax=15.45 +2025-11-04 13:43:56,417 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=13.37, mean=-0.1309, std=3.04, absmax=13.37 +2025-11-04 13:43:56,773 ERROR: Encountered non-finite generator loss at iter 24654; skipping update. +2025-11-04 13:43:56,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:56,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:56,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.43, mean=-0.1298, std=3.365, absmax=13.43 +2025-11-04 13:43:56,777 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=12.74, mean=-0.1472, std=3.192, absmax=12.74 +2025-11-04 13:43:57,134 ERROR: Encountered non-finite generator loss at iter 24655; skipping update. +2025-11-04 13:43:57,135 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,136 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,136 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:57,137 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=13.03, mean=0.04027, std=3.173, absmax=13.03 +2025-11-04 13:43:57,137 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.04, mean=0.06273, std=2.939, absmax=12.04 +2025-11-04 13:43:57,494 ERROR: Encountered non-finite generator loss at iter 24656; skipping update. +2025-11-04 13:43:57,495 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,495 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,496 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,496 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:57,496 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.72, max=14.74, mean=0.2137, std=3.456, absmax=14.74 +2025-11-04 13:43:57,497 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=14.07, mean=0.1817, std=3.169, absmax=14.07 +2025-11-04 13:43:57,854 ERROR: Encountered non-finite generator loss at iter 24657; skipping update. +2025-11-04 13:43:57,855 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,855 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:57,856 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:57,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.86, mean=-0.03579, std=2.614, absmax=11.86 +2025-11-04 13:43:57,857 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=10.77, mean=-0.04019, std=2.34, absmax=10.87 +2025-11-04 13:43:58,214 ERROR: Encountered non-finite generator loss at iter 24658; skipping update. +2025-11-04 13:43:58,215 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,215 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,216 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:58,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.2, max=16.03, mean=-0.1962, std=2.712, absmax=16.2 +2025-11-04 13:43:58,217 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.63, max=13.25, mean=-0.1611, std=2.516, absmax=14.63 +2025-11-04 13:43:58,574 ERROR: Encountered non-finite generator loss at iter 24659; skipping update. +2025-11-04 13:43:58,575 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,576 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,576 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,576 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:58,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=16.95, mean=-0.147, std=3.335, absmax=16.95 +2025-11-04 13:43:58,578 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.51, max=15.32, mean=-0.09726, std=3.114, absmax=15.32 +2025-11-04 13:43:58,936 ERROR: Encountered non-finite generator loss at iter 24660; skipping update. +2025-11-04 13:43:58,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:58,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:58,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=14.25, mean=0.005105, std=3.036, absmax=14.25 +2025-11-04 13:43:58,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.78, mean=-0.008023, std=2.776, absmax=12.78 +2025-11-04 13:43:59,296 ERROR: Encountered non-finite generator loss at iter 24661; skipping update. +2025-11-04 13:43:59,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:59,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:59,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:59,299 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:59,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=9.748, mean=-0.2659, std=2.455, absmax=11.7 +2025-11-04 13:43:59,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=9.842, mean=-0.2809, std=2.39, absmax=10.65 +2025-11-04 13:43:59,657 ERROR: Encountered non-finite generator loss at iter 24662; skipping update. +2025-11-04 13:43:59,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:59,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:43:59,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:43:59,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:43:59,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=15.42, mean=0.09341, std=3.56, absmax=15.42 +2025-11-04 13:43:59,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=13.86, mean=0.07923, std=3.345, absmax=13.86 +2025-11-04 13:44:00,018 ERROR: Encountered non-finite generator loss at iter 24663; skipping update. +2025-11-04 13:44:00,019 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,020 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:00,021 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.43, mean=-0.1469, std=3.149, absmax=12.43 +2025-11-04 13:44:00,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.18, mean=-0.09519, std=2.871, absmax=12.18 +2025-11-04 13:44:00,379 ERROR: Encountered non-finite generator loss at iter 24664; skipping update. +2025-11-04 13:44:00,380 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,381 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,382 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:00,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=15.22, mean=-0.2647, std=2.897, absmax=15.22 +2025-11-04 13:44:00,383 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=12.29, mean=-0.2563, std=2.672, absmax=12.29 +2025-11-04 13:44:00,740 ERROR: Encountered non-finite generator loss at iter 24665; skipping update. +2025-11-04 13:44:00,742 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,742 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:00,743 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:00,743 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.2, max=12.57, mean=-0.08941, std=2.675, absmax=12.57 +2025-11-04 13:44:00,744 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.22, mean=-0.1023, std=2.431, absmax=11.13 +2025-11-04 13:44:01,102 ERROR: Encountered non-finite generator loss at iter 24666; skipping update. +2025-11-04 13:44:01,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,104 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:01,105 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=13.65, mean=-0.2801, std=3.248, absmax=14.55 +2025-11-04 13:44:01,105 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.21, max=11.69, mean=-0.2065, std=3.069, absmax=13.21 +2025-11-04 13:44:01,462 ERROR: Encountered non-finite generator loss at iter 24667; skipping update. +2025-11-04 13:44:01,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,464 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,465 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:01,465 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=10.68, mean=-0.2024, std=2.57, absmax=15.07 +2025-11-04 13:44:01,466 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=9.669, mean=-0.1428, std=2.379, absmax=13.01 +2025-11-04 13:44:01,823 ERROR: Encountered non-finite generator loss at iter 24668; skipping update. +2025-11-04 13:44:01,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:01,825 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:01,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=13.19, mean=-0.1703, std=2.544, absmax=13.19 +2025-11-04 13:44:01,826 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.21, mean=-0.1415, std=2.313, absmax=10.9 +2025-11-04 13:44:02,182 ERROR: Encountered non-finite generator loss at iter 24669; skipping update. +2025-11-04 13:44:02,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:02,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.38, mean=-0.2608, std=2.774, absmax=13.18 +2025-11-04 13:44:02,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=10.22, mean=-0.244, std=2.647, absmax=11.82 +2025-11-04 13:44:02,543 ERROR: Encountered non-finite generator loss at iter 24670; skipping update. +2025-11-04 13:44:02,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,545 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:02,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=12.36, mean=-0.2553, std=2.729, absmax=12.36 +2025-11-04 13:44:02,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=10.03, mean=-0.2343, std=2.606, absmax=10.83 +2025-11-04 13:44:02,905 ERROR: Encountered non-finite generator loss at iter 24671; skipping update. +2025-11-04 13:44:02,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:02,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:02,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=11.57, mean=-0.09879, std=2.304, absmax=11.57 +2025-11-04 13:44:02,908 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=9.765, mean=-0.09012, std=2.182, absmax=10.7 +2025-11-04 13:44:03,264 ERROR: Encountered non-finite generator loss at iter 24672; skipping update. +2025-11-04 13:44:03,265 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,266 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,266 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,267 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:03,267 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=14.05, mean=-0.1246, std=3.193, absmax=14.05 +2025-11-04 13:44:03,268 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=13.13, mean=-0.09703, std=2.9, absmax=13.13 +2025-11-04 13:44:03,625 ERROR: Encountered non-finite generator loss at iter 24673; skipping update. +2025-11-04 13:44:03,626 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,626 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,627 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,627 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:03,628 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.88, mean=-0.2138, std=2.291, absmax=12.87 +2025-11-04 13:44:03,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=9.537, mean=-0.1891, std=2.164, absmax=10.65 +2025-11-04 13:44:03,985 ERROR: Encountered non-finite generator loss at iter 24674; skipping update. +2025-11-04 13:44:03,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:03,987 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:03,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=14.04, mean=-0.1848, std=2.969, absmax=14.04 +2025-11-04 13:44:03,988 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=11.77, mean=-0.1934, std=2.781, absmax=11.87 +2025-11-04 13:44:04,345 ERROR: Encountered non-finite generator loss at iter 24675; skipping update. +2025-11-04 13:44:04,346 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:04,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:04,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:04,347 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:04,348 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=13.35, mean=0.03682, std=2.932, absmax=13.35 +2025-11-04 13:44:04,348 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=11.84, mean=0.039, std=2.779, absmax=11.84 +2025-11-04 13:44:04,705 ERROR: Encountered non-finite generator loss at iter 24676; skipping update. +2025-11-04 13:44:04,706 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:04,707 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:04,707 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:04,707 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:04,708 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.77, max=17.36, mean=-0.2818, std=2.978, absmax=17.36 +2025-11-04 13:44:04,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.61, max=15.99, mean=-0.2948, std=2.833, absmax=15.99 +2025-11-04 13:44:05,065 ERROR: Encountered non-finite generator loss at iter 24677; skipping update. +2025-11-04 13:44:05,066 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,067 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,067 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,067 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:05,068 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.58, mean=-0.2945, std=3.208, absmax=13.18 +2025-11-04 13:44:05,068 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=12.01, mean=-0.2496, std=3.088, absmax=12.01 +2025-11-04 13:44:05,425 ERROR: Encountered non-finite generator loss at iter 24678; skipping update. +2025-11-04 13:44:05,426 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,427 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,427 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:05,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=14.28, mean=-0.3585, std=3.079, absmax=14.28 +2025-11-04 13:44:05,428 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.87, max=12.01, mean=-0.3637, std=2.835, absmax=13.87 +2025-11-04 13:44:05,785 ERROR: Encountered non-finite generator loss at iter 24679; skipping update. +2025-11-04 13:44:05,786 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:05,787 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:05,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=13.45, mean=-0.0464, std=3.105, absmax=13.45 +2025-11-04 13:44:05,788 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.88, mean=-0.07412, std=2.89, absmax=12.3 +2025-11-04 13:44:06,144 ERROR: Encountered non-finite generator loss at iter 24680; skipping update. +2025-11-04 13:44:06,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,146 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:06,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=11.23, mean=-0.1769, std=3.177, absmax=12.12 +2025-11-04 13:44:06,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=10.12, mean=-0.158, std=2.81, absmax=11.95 +2025-11-04 13:44:06,504 ERROR: Encountered non-finite generator loss at iter 24681; skipping update. +2025-11-04 13:44:06,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,506 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:06,507 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=10.21, mean=-0.2458, std=2.877, absmax=12.52 +2025-11-04 13:44:06,507 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=10.14, mean=-0.2467, std=2.658, absmax=10.45 +2025-11-04 13:44:06,863 ERROR: Encountered non-finite generator loss at iter 24682; skipping update. +2025-11-04 13:44:06,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:06,866 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:06,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.6, mean=-0.1227, std=3.047, absmax=13.6 +2025-11-04 13:44:06,867 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=12.62, mean=-0.1347, std=2.82, absmax=12.62 +2025-11-04 13:44:07,223 ERROR: Encountered non-finite generator loss at iter 24683; skipping update. +2025-11-04 13:44:07,224 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,224 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,224 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,225 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:07,225 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.99, max=12.86, mean=-0.1848, std=2.626, absmax=12.86 +2025-11-04 13:44:07,226 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=10.57, mean=-0.1735, std=2.432, absmax=10.6 +2025-11-04 13:44:07,582 ERROR: Encountered non-finite generator loss at iter 24684; skipping update. +2025-11-04 13:44:07,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,584 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,584 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,585 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:07,585 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.66, mean=-0.124, std=3.211, absmax=12.92 +2025-11-04 13:44:07,586 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=11.43, mean=-0.1387, std=3.124, absmax=12.34 +2025-11-04 13:44:07,942 ERROR: Encountered non-finite generator loss at iter 24685; skipping update. +2025-11-04 13:44:07,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:07,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:07,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=13.38, mean=-0.1099, std=3.738, absmax=13.38 +2025-11-04 13:44:07,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.69, mean=-0.06936, std=3.529, absmax=12.75 +2025-11-04 13:44:08,301 ERROR: Encountered non-finite generator loss at iter 24686; skipping update. +2025-11-04 13:44:08,302 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:08,303 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:08,303 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:08,303 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:08,304 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.57, mean=-0.07713, std=3.274, absmax=14.57 +2025-11-04 13:44:08,305 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=14.58, mean=-0.09725, std=3.059, absmax=14.58 +2025-11-04 13:44:08,661 ERROR: Encountered non-finite generator loss at iter 24687; skipping update. +2025-11-04 13:44:08,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:08,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:08,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:08,663 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:08,664 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.35, mean=-0.2452, std=3.009, absmax=13.35 +2025-11-04 13:44:08,664 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=12.6, mean=-0.2138, std=2.793, absmax=12.6 +2025-11-04 13:44:09,021 ERROR: Encountered non-finite generator loss at iter 24688; skipping update. +2025-11-04 13:44:09,022 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,023 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,023 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:09,024 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.12, mean=-0.1242, std=2.704, absmax=12.84 +2025-11-04 13:44:09,024 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=9.709, mean=-0.1488, std=2.586, absmax=12.23 +2025-11-04 13:44:09,381 ERROR: Encountered non-finite generator loss at iter 24689; skipping update. +2025-11-04 13:44:09,382 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,383 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,383 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:09,384 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=12.88, mean=0.1499, std=3.129, absmax=12.88 +2025-11-04 13:44:09,384 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.857, max=11.22, mean=0.1371, std=2.84, absmax=11.22 +2025-11-04 13:44:09,741 ERROR: Encountered non-finite generator loss at iter 24690; skipping update. +2025-11-04 13:44:09,742 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,742 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,743 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:09,743 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:09,744 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11, max=12.31, mean=-0.2318, std=2.5, absmax=12.31 +2025-11-04 13:44:09,744 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.541, max=11.19, mean=-0.1782, std=2.306, absmax=11.19 +2025-11-04 13:44:10,101 ERROR: Encountered non-finite generator loss at iter 24691; skipping update. +2025-11-04 13:44:10,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,103 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,103 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:10,104 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=15.56, mean=0.1586, std=3.771, absmax=15.56 +2025-11-04 13:44:10,104 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=14.79, mean=0.1474, std=3.453, absmax=14.79 +2025-11-04 13:44:10,461 ERROR: Encountered non-finite generator loss at iter 24692; skipping update. +2025-11-04 13:44:10,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,463 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:10,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=12.49, mean=-0.2032, std=3.288, absmax=12.49 +2025-11-04 13:44:10,464 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.06, max=10.13, mean=-0.2518, std=3.094, absmax=12.06 +2025-11-04 13:44:10,821 ERROR: Encountered non-finite generator loss at iter 24693; skipping update. +2025-11-04 13:44:10,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:10,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:10,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=12.35, mean=-0.1824, std=2.702, absmax=12.87 +2025-11-04 13:44:10,825 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=9.174, mean=-0.1732, std=2.431, absmax=10.47 +2025-11-04 13:44:11,185 ERROR: Encountered non-finite generator loss at iter 24694; skipping update. +2025-11-04 13:44:11,186 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,187 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:11,188 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=13.06, mean=-0.178, std=2.718, absmax=13.14 +2025-11-04 13:44:11,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=9.217, mean=-0.1874, std=2.483, absmax=10.78 +2025-11-04 13:44:11,548 ERROR: Encountered non-finite generator loss at iter 24695; skipping update. +2025-11-04 13:44:11,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,550 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:11,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.05, max=13.16, mean=-0.1436, std=3.159, absmax=14.05 +2025-11-04 13:44:11,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=11.69, mean=-0.1201, std=2.918, absmax=12.29 +2025-11-04 13:44:11,910 ERROR: Encountered non-finite generator loss at iter 24696; skipping update. +2025-11-04 13:44:11,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:11,913 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:11,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=15.2, mean=-0.2029, std=2.558, absmax=15.2 +2025-11-04 13:44:11,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.832, max=12.01, mean=-0.1724, std=2.28, absmax=12.01 +2025-11-04 13:44:12,271 ERROR: Encountered non-finite generator loss at iter 24697; skipping update. +2025-11-04 13:44:12,272 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:12,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=13.84, mean=-0.1648, std=2.732, absmax=13.84 +2025-11-04 13:44:12,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=10.88, mean=-0.1211, std=2.605, absmax=12.43 +2025-11-04 13:44:12,630 ERROR: Encountered non-finite generator loss at iter 24698; skipping update. +2025-11-04 13:44:12,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,632 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:12,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.04, mean=-0.011, std=3.36, absmax=13.04 +2025-11-04 13:44:12,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.96, mean=0.03706, std=3.162, absmax=12.3 +2025-11-04 13:44:12,989 ERROR: Encountered non-finite generator loss at iter 24699; skipping update. +2025-11-04 13:44:12,990 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,991 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,991 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:12,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:12,992 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=11.74, mean=-0.3497, std=3.161, absmax=13.67 +2025-11-04 13:44:12,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=8.945, mean=-0.3483, std=2.957, absmax=12.76 +2025-11-04 13:44:13,349 ERROR: Encountered non-finite generator loss at iter 24700; skipping update. +2025-11-04 13:44:13,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:13,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:13,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:13,351 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:13,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=14.76, mean=-0.2013, std=3.585, absmax=14.76 +2025-11-04 13:44:13,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.84, mean=-0.1973, std=3.31, absmax=12.84 +2025-11-04 13:44:13,352 INFO: [38..][epoch: 0, step: 24,700, lr:(2.000e-04,)] [eta: 1 day, 3:24:28, time (data): 0.360 (0.000)] +2025-11-04 13:44:13,708 ERROR: Encountered non-finite generator loss at iter 24701; skipping update. +2025-11-04 13:44:13,709 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:13,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:13,710 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:13,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:13,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.46, mean=-0.2037, std=3.06, absmax=12.51 +2025-11-04 13:44:13,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=10.53, mean=-0.1705, std=2.753, absmax=11.1 +2025-11-04 13:44:14,067 ERROR: Encountered non-finite generator loss at iter 24702; skipping update. +2025-11-04 13:44:14,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,069 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:14,070 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.19, mean=0.03051, std=2.889, absmax=14.19 +2025-11-04 13:44:14,071 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.942, max=12.8, mean=0.01057, std=2.641, absmax=12.8 +2025-11-04 13:44:14,427 ERROR: Encountered non-finite generator loss at iter 24703; skipping update. +2025-11-04 13:44:14,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,429 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:14,430 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=15.99, mean=-0.2096, std=2.82, absmax=15.99 +2025-11-04 13:44:14,431 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=13.41, mean=-0.2089, std=2.591, absmax=13.41 +2025-11-04 13:44:14,787 ERROR: Encountered non-finite generator loss at iter 24704; skipping update. +2025-11-04 13:44:14,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,789 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:14,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:14,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=12.65, mean=-0.2327, std=3.111, absmax=14.19 +2025-11-04 13:44:14,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=12.81, mean=-0.2758, std=2.934, absmax=12.81 +2025-11-04 13:44:15,147 ERROR: Encountered non-finite generator loss at iter 24705; skipping update. +2025-11-04 13:44:15,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,149 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:15,150 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=11.29, mean=-0.1788, std=2.535, absmax=14.2 +2025-11-04 13:44:15,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.45, max=10.2, mean=-0.1273, std=2.527, absmax=13.45 +2025-11-04 13:44:15,507 ERROR: Encountered non-finite generator loss at iter 24706; skipping update. +2025-11-04 13:44:15,508 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,509 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,509 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,509 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:15,510 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=14.34, mean=-0.2928, std=2.713, absmax=14.34 +2025-11-04 13:44:15,510 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=13.71, mean=-0.2753, std=2.543, absmax=13.71 +2025-11-04 13:44:15,866 ERROR: Encountered non-finite generator loss at iter 24707; skipping update. +2025-11-04 13:44:15,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:15,869 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:15,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=14.31, mean=-0.2747, std=2.454, absmax=14.31 +2025-11-04 13:44:15,870 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=12.91, mean=-0.2757, std=2.303, absmax=12.91 +2025-11-04 13:44:16,227 ERROR: Encountered non-finite generator loss at iter 24708; skipping update. +2025-11-04 13:44:16,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,228 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,228 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:16,229 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.16, mean=-0.01955, std=3.22, absmax=13.16 +2025-11-04 13:44:16,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=12.49, mean=-0.01256, std=2.951, absmax=12.49 +2025-11-04 13:44:16,586 ERROR: Encountered non-finite generator loss at iter 24709; skipping update. +2025-11-04 13:44:16,587 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,588 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,589 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:16,589 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=12.28, mean=-0.3466, std=3.052, absmax=15.06 +2025-11-04 13:44:16,590 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=10.33, mean=-0.3322, std=2.855, absmax=12.02 +2025-11-04 13:44:16,946 ERROR: Encountered non-finite generator loss at iter 24710; skipping update. +2025-11-04 13:44:16,947 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:16,948 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:16,949 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=12.41, mean=0.03866, std=3.602, absmax=14.52 +2025-11-04 13:44:16,949 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=11.22, mean=0.03992, std=3.379, absmax=13.66 +2025-11-04 13:44:17,306 ERROR: Encountered non-finite generator loss at iter 24711; skipping update. +2025-11-04 13:44:17,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:17,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:17,308 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:17,308 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:17,309 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=15.61, mean=-0.1777, std=2.7, absmax=15.61 +2025-11-04 13:44:17,309 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=11.2, mean=-0.1568, std=2.509, absmax=11.8 +2025-11-04 13:44:17,666 ERROR: Encountered non-finite generator loss at iter 24712; skipping update. +2025-11-04 13:44:17,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:17,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:17,667 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:17,668 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:17,668 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.86, mean=-0.2717, std=3.337, absmax=13 +2025-11-04 13:44:17,669 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=11.33, mean=-0.2485, std=3.059, absmax=11.88 +2025-11-04 13:44:18,025 ERROR: Encountered non-finite generator loss at iter 24713; skipping update. +2025-11-04 13:44:18,026 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,027 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:18,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=15.27, mean=-0.2641, std=2.879, absmax=15.27 +2025-11-04 13:44:18,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=14.53, mean=-0.2699, std=2.73, absmax=14.53 +2025-11-04 13:44:18,385 ERROR: Encountered non-finite generator loss at iter 24714; skipping update. +2025-11-04 13:44:18,386 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,387 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:18,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.69, max=14.5, mean=-0.1174, std=3.42, absmax=15.69 +2025-11-04 13:44:18,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=13.21, mean=-0.1274, std=3.21, absmax=13.27 +2025-11-04 13:44:18,745 ERROR: Encountered non-finite generator loss at iter 24715; skipping update. +2025-11-04 13:44:18,746 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:18,747 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:18,748 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.55, max=11.95, mean=-0.09807, std=3.097, absmax=14.55 +2025-11-04 13:44:18,748 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.7, mean=-0.1102, std=2.827, absmax=11.96 +2025-11-04 13:44:19,105 ERROR: Encountered non-finite generator loss at iter 24716; skipping update. +2025-11-04 13:44:19,106 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,107 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,107 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,108 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:19,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=11.36, mean=0.0195, std=2.732, absmax=11.81 +2025-11-04 13:44:19,109 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=10.57, mean=0.0339, std=2.6, absmax=10.75 +2025-11-04 13:44:19,465 ERROR: Encountered non-finite generator loss at iter 24717; skipping update. +2025-11-04 13:44:19,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,466 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,466 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,466 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:19,467 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.26, mean=-0.1871, std=2.744, absmax=13.41 +2025-11-04 13:44:19,467 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=11.43, mean=-0.1389, std=2.59, absmax=12.1 +2025-11-04 13:44:19,824 ERROR: Encountered non-finite generator loss at iter 24718; skipping update. +2025-11-04 13:44:19,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,826 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:19,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:19,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.92, mean=-0.1991, std=2.775, absmax=13.86 +2025-11-04 13:44:19,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.71, max=11.91, mean=-0.2313, std=2.637, absmax=14.71 +2025-11-04 13:44:20,183 ERROR: Encountered non-finite generator loss at iter 24719; skipping update. +2025-11-04 13:44:20,184 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,185 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,185 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:20,186 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.52, mean=-0.1874, std=3.114, absmax=13.52 +2025-11-04 13:44:20,187 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=12.62, mean=-0.1888, std=2.877, absmax=12.62 +2025-11-04 13:44:20,544 ERROR: Encountered non-finite generator loss at iter 24720; skipping update. +2025-11-04 13:44:20,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,545 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:20,546 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.96, mean=-0.2957, std=3.066, absmax=13.08 +2025-11-04 13:44:20,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.05, mean=-0.2512, std=2.833, absmax=12.34 +2025-11-04 13:44:20,903 ERROR: Encountered non-finite generator loss at iter 24721; skipping update. +2025-11-04 13:44:20,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,905 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:20,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:20,906 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.09, mean=-0.1233, std=2.989, absmax=13.12 +2025-11-04 13:44:20,907 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=10.61, mean=-0.1203, std=2.686, absmax=10.78 +2025-11-04 13:44:21,263 ERROR: Encountered non-finite generator loss at iter 24722; skipping update. +2025-11-04 13:44:21,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,264 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:21,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.07, max=11.13, mean=-0.2643, std=3.249, absmax=15.07 +2025-11-04 13:44:21,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=10.15, mean=-0.2811, std=3.086, absmax=13.94 +2025-11-04 13:44:21,623 ERROR: Encountered non-finite generator loss at iter 24723; skipping update. +2025-11-04 13:44:21,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,625 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:21,625 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.69, mean=-0.08067, std=3.041, absmax=13.69 +2025-11-04 13:44:21,626 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.95, mean=-0.07474, std=2.835, absmax=11.95 +2025-11-04 13:44:21,983 ERROR: Encountered non-finite generator loss at iter 24724; skipping update. +2025-11-04 13:44:21,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,984 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:21,985 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:21,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=11.24, mean=-0.2458, std=2.286, absmax=11.24 +2025-11-04 13:44:21,986 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=8.51, mean=-0.2499, std=2.165, absmax=10.48 +2025-11-04 13:44:22,342 ERROR: Encountered non-finite generator loss at iter 24725; skipping update. +2025-11-04 13:44:22,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:22,343 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:22,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:22,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:22,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=18.23, mean=0.1158, std=3.364, absmax=18.23 +2025-11-04 13:44:22,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=16.94, mean=0.1707, std=3.178, absmax=16.94 +2025-11-04 13:44:22,702 ERROR: Encountered non-finite generator loss at iter 24726; skipping update. +2025-11-04 13:44:22,702 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:22,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:22,703 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:22,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:22,704 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=12.19, mean=-0.1473, std=3.838, absmax=14.86 +2025-11-04 13:44:22,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=11.39, mean=-0.1419, std=3.53, absmax=12.19 +2025-11-04 13:44:23,061 ERROR: Encountered non-finite generator loss at iter 24727; skipping update. +2025-11-04 13:44:23,062 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,063 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,063 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:23,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=12.18, mean=-0.08849, std=2.84, absmax=12.18 +2025-11-04 13:44:23,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=10.63, mean=-0.07082, std=2.673, absmax=11.06 +2025-11-04 13:44:23,421 ERROR: Encountered non-finite generator loss at iter 24728; skipping update. +2025-11-04 13:44:23,422 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,423 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:23,424 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=10.33, mean=-0.1663, std=2.895, absmax=11.89 +2025-11-04 13:44:23,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.17, mean=-0.1709, std=2.722, absmax=11.26 +2025-11-04 13:44:23,781 ERROR: Encountered non-finite generator loss at iter 24729; skipping update. +2025-11-04 13:44:23,782 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,783 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:23,783 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:23,784 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=13.69, mean=-0.06226, std=3.098, absmax=13.69 +2025-11-04 13:44:23,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=12.61, mean=-0.05313, std=2.881, absmax=12.61 +2025-11-04 13:44:24,141 ERROR: Encountered non-finite generator loss at iter 24730; skipping update. +2025-11-04 13:44:24,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,143 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,143 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,143 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:24,144 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.4, max=12.03, mean=-0.09371, std=3.315, absmax=15.4 +2025-11-04 13:44:24,145 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=10.92, mean=-0.05135, std=3.055, absmax=13.85 +2025-11-04 13:44:24,501 ERROR: Encountered non-finite generator loss at iter 24731; skipping update. +2025-11-04 13:44:24,501 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,502 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:24,503 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=9.118, mean=-0.2505, std=2.27, absmax=11.68 +2025-11-04 13:44:24,504 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=9.046, mean=-0.2692, std=2.225, absmax=10.62 +2025-11-04 13:44:24,860 ERROR: Encountered non-finite generator loss at iter 24732; skipping update. +2025-11-04 13:44:24,861 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,862 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:24,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:24,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.18, mean=-0.3584, std=2.868, absmax=13.06 +2025-11-04 13:44:24,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=9.146, mean=-0.3149, std=2.707, absmax=11.21 +2025-11-04 13:44:25,220 ERROR: Encountered non-finite generator loss at iter 24733; skipping update. +2025-11-04 13:44:25,221 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,222 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,222 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:25,223 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=12.47, mean=-0.1502, std=3.456, absmax=13.81 +2025-11-04 13:44:25,223 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=11.81, mean=-0.1776, std=3.304, absmax=12.44 +2025-11-04 13:44:25,580 ERROR: Encountered non-finite generator loss at iter 24734; skipping update. +2025-11-04 13:44:25,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,582 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:25,582 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=13.9, mean=-0.1348, std=2.592, absmax=13.9 +2025-11-04 13:44:25,583 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=14.96, mean=-0.1145, std=2.452, absmax=14.96 +2025-11-04 13:44:25,939 ERROR: Encountered non-finite generator loss at iter 24735; skipping update. +2025-11-04 13:44:25,940 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,941 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:25,942 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:25,942 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=14.36, mean=-0.212, std=2.753, absmax=14.36 +2025-11-04 13:44:25,943 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=12.97, mean=-0.1815, std=2.563, absmax=12.97 +2025-11-04 13:44:26,300 ERROR: Encountered non-finite generator loss at iter 24736; skipping update. +2025-11-04 13:44:26,301 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:26,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:26,301 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:26,302 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:26,302 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=13.56, mean=-0.1544, std=2.839, absmax=13.56 +2025-11-04 13:44:26,303 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=12.89, mean=-0.1568, std=2.786, absmax=12.89 +2025-11-04 13:44:26,659 ERROR: Encountered non-finite generator loss at iter 24737; skipping update. +2025-11-04 13:44:26,661 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:26,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:26,661 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:26,662 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:26,662 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=9.662, mean=-0.2646, std=2.777, absmax=12.15 +2025-11-04 13:44:26,663 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=9.205, mean=-0.2654, std=2.65, absmax=12.65 +2025-11-04 13:44:27,020 ERROR: Encountered non-finite generator loss at iter 24738; skipping update. +2025-11-04 13:44:27,021 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,021 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,022 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:27,022 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=10.7, mean=-0.1716, std=2.486, absmax=10.87 +2025-11-04 13:44:27,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.23, mean=-0.1519, std=2.304, absmax=11.69 +2025-11-04 13:44:27,379 ERROR: Encountered non-finite generator loss at iter 24739; skipping update. +2025-11-04 13:44:27,380 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,381 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,381 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:27,382 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.98, mean=0.09961, std=3.038, absmax=12.98 +2025-11-04 13:44:27,383 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.09, mean=0.0821, std=2.794, absmax=11.09 +2025-11-04 13:44:27,739 ERROR: Encountered non-finite generator loss at iter 24740; skipping update. +2025-11-04 13:44:27,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,740 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:27,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:27,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=18.25, mean=0.02649, std=3.678, absmax=18.25 +2025-11-04 13:44:27,742 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=14.07, mean=-0.01134, std=3.374, absmax=14.07 +2025-11-04 13:44:28,099 ERROR: Encountered non-finite generator loss at iter 24741; skipping update. +2025-11-04 13:44:28,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,100 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:28,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=14.29, mean=-0.1128, std=3.002, absmax=14.29 +2025-11-04 13:44:28,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=11.8, mean=-0.09419, std=2.619, absmax=11.8 +2025-11-04 13:44:28,458 ERROR: Encountered non-finite generator loss at iter 24742; skipping update. +2025-11-04 13:44:28,459 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,460 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:28,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.06, mean=0.02109, std=2.859, absmax=12.38 +2025-11-04 13:44:28,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.74, mean=0.06573, std=2.706, absmax=11.74 +2025-11-04 13:44:28,818 ERROR: Encountered non-finite generator loss at iter 24743; skipping update. +2025-11-04 13:44:28,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:28,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:28,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=12.33, mean=-0.2406, std=3.112, absmax=13.35 +2025-11-04 13:44:28,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.49, mean=-0.1891, std=3.044, absmax=11.83 +2025-11-04 13:44:29,178 ERROR: Encountered non-finite generator loss at iter 24744; skipping update. +2025-11-04 13:44:29,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:29,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.34, mean=-0.1031, std=2.962, absmax=13.34 +2025-11-04 13:44:29,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.5, mean=-0.07318, std=2.764, absmax=11.5 +2025-11-04 13:44:29,537 ERROR: Encountered non-finite generator loss at iter 24745; skipping update. +2025-11-04 13:44:29,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:29,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=11.36, mean=-0.1533, std=3.193, absmax=12.74 +2025-11-04 13:44:29,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.22, mean=-0.1919, std=2.806, absmax=12.12 +2025-11-04 13:44:29,897 ERROR: Encountered non-finite generator loss at iter 24746; skipping update. +2025-11-04 13:44:29,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:29,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:29,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=15.49, mean=-0.13, std=2.892, absmax=15.49 +2025-11-04 13:44:29,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=14.17, mean=-0.1387, std=2.699, absmax=14.17 +2025-11-04 13:44:30,256 ERROR: Encountered non-finite generator loss at iter 24747; skipping update. +2025-11-04 13:44:30,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:30,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.91, mean=-0.2527, std=2.93, absmax=12.91 +2025-11-04 13:44:30,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.59, mean=-0.2689, std=2.718, absmax=11.31 +2025-11-04 13:44:30,616 ERROR: Encountered non-finite generator loss at iter 24748; skipping update. +2025-11-04 13:44:30,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:30,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=13.66, mean=-0.01786, std=2.985, absmax=13.66 +2025-11-04 13:44:30,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=12.12, mean=-0.02006, std=2.762, absmax=12.12 +2025-11-04 13:44:30,976 ERROR: Encountered non-finite generator loss at iter 24749; skipping update. +2025-11-04 13:44:30,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,978 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:30,979 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:30,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.93, mean=0.01395, std=3.767, absmax=14.93 +2025-11-04 13:44:30,980 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=14.11, mean=0.03735, std=3.577, absmax=14.11 +2025-11-04 13:44:31,337 ERROR: Encountered non-finite generator loss at iter 24750; skipping update. +2025-11-04 13:44:31,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:31,338 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:31,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:31,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:31,339 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.61, max=16.17, mean=-0.2766, std=2.985, absmax=17.61 +2025-11-04 13:44:31,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.35, max=14.3, mean=-0.2595, std=2.779, absmax=14.35 +2025-11-04 13:44:31,697 ERROR: Encountered non-finite generator loss at iter 24751; skipping update. +2025-11-04 13:44:31,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:31,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:31,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:31,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:31,700 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.35, max=12.88, mean=-0.1982, std=2.737, absmax=15.35 +2025-11-04 13:44:31,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.57, max=11.93, mean=-0.2091, std=2.483, absmax=13.57 +2025-11-04 13:44:32,057 ERROR: Encountered non-finite generator loss at iter 24752; skipping update. +2025-11-04 13:44:32,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,059 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:32,060 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.52, mean=0.0781, std=3.165, absmax=13.52 +2025-11-04 13:44:32,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.49, mean=0.06631, std=2.901, absmax=11.49 +2025-11-04 13:44:32,417 ERROR: Encountered non-finite generator loss at iter 24753; skipping update. +2025-11-04 13:44:32,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,419 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,420 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:32,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.39, max=11.21, mean=-0.1906, std=2.474, absmax=11.21 +2025-11-04 13:44:32,421 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.384, max=9.717, mean=-0.1358, std=2.33, absmax=9.717 +2025-11-04 13:44:32,777 ERROR: Encountered non-finite generator loss at iter 24754; skipping update. +2025-11-04 13:44:32,778 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,779 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:32,779 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:32,780 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=16.54, mean=-0.1408, std=3.497, absmax=16.54 +2025-11-04 13:44:32,780 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=14.65, mean=-0.1121, std=3.191, absmax=14.65 +2025-11-04 13:44:33,137 ERROR: Encountered non-finite generator loss at iter 24755; skipping update. +2025-11-04 13:44:33,138 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,139 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,139 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,139 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:33,140 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=11.33, mean=-0.2494, std=2.632, absmax=11.54 +2025-11-04 13:44:33,141 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=9.694, mean=-0.2433, std=2.5, absmax=10.97 +2025-11-04 13:44:33,497 ERROR: Encountered non-finite generator loss at iter 24756; skipping update. +2025-11-04 13:44:33,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,498 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,499 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:33,500 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=10.65, mean=-0.04486, std=3.183, absmax=14.22 +2025-11-04 13:44:33,500 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.88, max=9.983, mean=-0.02236, std=2.948, absmax=12.88 +2025-11-04 13:44:33,857 ERROR: Encountered non-finite generator loss at iter 24757; skipping update. +2025-11-04 13:44:33,858 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,859 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,859 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:33,860 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:33,860 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.07, max=15.14, mean=-0.1032, std=2.989, absmax=15.14 +2025-11-04 13:44:33,861 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=12.99, mean=-0.09676, std=2.755, absmax=12.99 +2025-11-04 13:44:34,218 ERROR: Encountered non-finite generator loss at iter 24758; skipping update. +2025-11-04 13:44:34,219 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,220 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,220 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:34,220 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=17.68, mean=-0.2499, std=2.953, absmax=17.68 +2025-11-04 13:44:34,221 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=14.96, mean=-0.224, std=2.866, absmax=14.96 +2025-11-04 13:44:34,577 ERROR: Encountered non-finite generator loss at iter 24759; skipping update. +2025-11-04 13:44:34,579 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,579 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,579 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,580 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:34,580 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.44, mean=0.05712, std=2.827, absmax=14.44 +2025-11-04 13:44:34,581 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.05, mean=0.07337, std=2.634, absmax=12.05 +2025-11-04 13:44:34,937 ERROR: Encountered non-finite generator loss at iter 24760; skipping update. +2025-11-04 13:44:34,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:34,940 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:34,940 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=15.72, mean=-0.3134, std=2.862, absmax=15.72 +2025-11-04 13:44:34,941 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.85, mean=-0.2758, std=2.621, absmax=12.85 +2025-11-04 13:44:35,297 ERROR: Encountered non-finite generator loss at iter 24761; skipping update. +2025-11-04 13:44:35,299 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:35,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:35,299 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:35,300 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:35,300 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=14.34, mean=0.1084, std=3.568, absmax=14.34 +2025-11-04 13:44:35,301 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=13.12, mean=0.1121, std=3.317, absmax=13.12 +2025-11-04 13:44:35,657 ERROR: Encountered non-finite generator loss at iter 24762; skipping update. +2025-11-04 13:44:35,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:35,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:35,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:35,660 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:35,660 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.25, max=13.16, mean=-0.3082, std=3.548, absmax=15.25 +2025-11-04 13:44:35,661 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.57, max=11.42, mean=-0.2973, std=3.296, absmax=13.57 +2025-11-04 13:44:36,017 ERROR: Encountered non-finite generator loss at iter 24763; skipping update. +2025-11-04 13:44:36,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,020 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:36,020 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.73, mean=-0.2454, std=3.135, absmax=13.74 +2025-11-04 13:44:36,021 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.64, mean=-0.2192, std=2.843, absmax=11.91 +2025-11-04 13:44:36,377 ERROR: Encountered non-finite generator loss at iter 24764; skipping update. +2025-11-04 13:44:36,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,379 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:36,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=14.99, mean=-0.03701, std=3.579, absmax=14.99 +2025-11-04 13:44:36,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=14.36, mean=-0.04284, std=3.419, absmax=14.36 +2025-11-04 13:44:36,737 ERROR: Encountered non-finite generator loss at iter 24765; skipping update. +2025-11-04 13:44:36,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:36,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:36,740 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=13.35, mean=-0.2249, std=3.074, absmax=13.55 +2025-11-04 13:44:36,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.21, max=12.17, mean=-0.2554, std=2.881, absmax=12.21 +2025-11-04 13:44:37,097 ERROR: Encountered non-finite generator loss at iter 24766; skipping update. +2025-11-04 13:44:37,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:37,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=15.91, mean=-0.2445, std=3.386, absmax=15.91 +2025-11-04 13:44:37,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.71, max=12.64, mean=-0.2313, std=3.101, absmax=12.71 +2025-11-04 13:44:37,457 ERROR: Encountered non-finite generator loss at iter 24767; skipping update. +2025-11-04 13:44:37,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:37,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=15.16, mean=-0.02628, std=3.796, absmax=15.16 +2025-11-04 13:44:37,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=15.04, mean=0.009921, std=3.557, absmax=15.04 +2025-11-04 13:44:37,817 ERROR: Encountered non-finite generator loss at iter 24768; skipping update. +2025-11-04 13:44:37,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,818 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:37,819 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:37,820 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.06, max=9.43, mean=-0.3011, std=2.253, absmax=10.06 +2025-11-04 13:44:37,820 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=8.177, mean=-0.3012, std=2.234, absmax=10.14 +2025-11-04 13:44:38,177 ERROR: Encountered non-finite generator loss at iter 24769; skipping update. +2025-11-04 13:44:38,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,179 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,179 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:38,180 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.98, mean=-0.1065, std=3.226, absmax=13.98 +2025-11-04 13:44:38,181 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.38, mean=-0.1318, std=2.816, absmax=11.82 +2025-11-04 13:44:38,538 ERROR: Encountered non-finite generator loss at iter 24770; skipping update. +2025-11-04 13:44:38,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,539 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,540 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:38,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=12.84, mean=-0.005449, std=3.315, absmax=12.94 +2025-11-04 13:44:38,541 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=11.43, mean=0.01371, std=3.149, absmax=12.36 +2025-11-04 13:44:38,897 ERROR: Encountered non-finite generator loss at iter 24771; skipping update. +2025-11-04 13:44:38,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,899 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:38,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:38,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=10.08, mean=-0.2824, std=2.648, absmax=11.89 +2025-11-04 13:44:38,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=9.887, mean=-0.2142, std=2.495, absmax=11.13 +2025-11-04 13:44:39,257 ERROR: Encountered non-finite generator loss at iter 24772; skipping update. +2025-11-04 13:44:39,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:39,260 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.54, max=16.83, mean=-0.1415, std=3.387, absmax=16.83 +2025-11-04 13:44:39,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.78, max=15.31, mean=-0.1336, std=3.167, absmax=15.31 +2025-11-04 13:44:39,617 ERROR: Encountered non-finite generator loss at iter 24773; skipping update. +2025-11-04 13:44:39,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,618 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,618 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,619 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:39,619 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=12.7, mean=-0.1596, std=2.88, absmax=13.98 +2025-11-04 13:44:39,620 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=9.952, mean=-0.1145, std=2.573, absmax=11.86 +2025-11-04 13:44:39,976 ERROR: Encountered non-finite generator loss at iter 24774; skipping update. +2025-11-04 13:44:39,977 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,977 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,978 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:39,978 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:39,979 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.99, mean=-0.2909, std=2.479, absmax=13.18 +2025-11-04 13:44:39,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=9.714, mean=-0.3208, std=2.347, absmax=11.52 +2025-11-04 13:44:40,336 ERROR: Encountered non-finite generator loss at iter 24775; skipping update. +2025-11-04 13:44:40,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:40,337 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:40,337 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:40,338 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:40,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=13.37, mean=-0.1366, std=2.976, absmax=13.75 +2025-11-04 13:44:40,339 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.06, max=11.74, mean=-0.142, std=2.884, absmax=11.74 +2025-11-04 13:44:40,695 ERROR: Encountered non-finite generator loss at iter 24776; skipping update. +2025-11-04 13:44:40,696 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:40,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:40,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:40,697 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:40,697 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.73, mean=-0.1717, std=3.115, absmax=12.73 +2025-11-04 13:44:40,698 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=10.12, mean=-0.1809, std=2.94, absmax=11.45 +2025-11-04 13:44:41,054 ERROR: Encountered non-finite generator loss at iter 24777; skipping update. +2025-11-04 13:44:41,055 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,056 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,056 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,056 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:41,057 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.07, max=12.14, mean=-0.2759, std=3.061, absmax=14.07 +2025-11-04 13:44:41,057 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=10.84, mean=-0.311, std=2.914, absmax=12.7 +2025-11-04 13:44:41,414 ERROR: Encountered non-finite generator loss at iter 24778; skipping update. +2025-11-04 13:44:41,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,415 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,416 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:41,417 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.01, mean=-0.2406, std=2.839, absmax=13.09 +2025-11-04 13:44:41,417 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=10.49, mean=-0.2066, std=2.587, absmax=11.29 +2025-11-04 13:44:41,773 ERROR: Encountered non-finite generator loss at iter 24779; skipping update. +2025-11-04 13:44:41,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:41,776 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:41,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=15, mean=-0.2519, std=2.869, absmax=15 +2025-11-04 13:44:41,777 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=14.37, mean=-0.2115, std=2.666, absmax=14.37 +2025-11-04 13:44:42,133 ERROR: Encountered non-finite generator loss at iter 24780; skipping update. +2025-11-04 13:44:42,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:42,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=12.22, mean=-0.1613, std=2.627, absmax=12.4 +2025-11-04 13:44:42,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.45, max=12.06, mean=-0.1479, std=2.5, absmax=12.06 +2025-11-04 13:44:42,492 ERROR: Encountered non-finite generator loss at iter 24781; skipping update. +2025-11-04 13:44:42,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:42,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=11.73, mean=-0.08523, std=2.863, absmax=14.11 +2025-11-04 13:44:42,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.62, max=9.97, mean=-0.08105, std=2.695, absmax=13.62 +2025-11-04 13:44:42,851 ERROR: Encountered non-finite generator loss at iter 24782; skipping update. +2025-11-04 13:44:42,852 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:42,853 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:42,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.9, max=14.79, mean=-0.3516, std=3.679, absmax=14.9 +2025-11-04 13:44:42,855 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.35, max=13.06, mean=-0.3482, std=3.393, absmax=13.35 +2025-11-04 13:44:43,211 ERROR: Encountered non-finite generator loss at iter 24783; skipping update. +2025-11-04 13:44:43,212 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,213 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,213 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:43,214 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=11.54, mean=-0.08514, std=2.966, absmax=11.54 +2025-11-04 13:44:43,214 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=10.39, mean=-0.08036, std=2.713, absmax=12.26 +2025-11-04 13:44:43,570 ERROR: Encountered non-finite generator loss at iter 24784; skipping update. +2025-11-04 13:44:43,572 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,573 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,573 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:43,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.04, mean=-0.1225, std=2.733, absmax=12.04 +2025-11-04 13:44:43,574 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=9.85, mean=-0.1106, std=2.649, absmax=11.28 +2025-11-04 13:44:43,930 ERROR: Encountered non-finite generator loss at iter 24785; skipping update. +2025-11-04 13:44:43,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,932 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,932 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:43,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:43,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=16.3, mean=0.008431, std=3.239, absmax=16.3 +2025-11-04 13:44:43,934 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.97, max=13.55, mean=0.04498, std=3.093, absmax=13.97 +2025-11-04 13:44:44,289 ERROR: Encountered non-finite generator loss at iter 24786; skipping update. +2025-11-04 13:44:44,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:44,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:44,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:44,292 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:44,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=14.65, mean=-0.2356, std=3.062, absmax=14.65 +2025-11-04 13:44:44,293 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=13.01, mean=-0.2305, std=2.834, absmax=13.01 +2025-11-04 13:44:44,649 ERROR: Encountered non-finite generator loss at iter 24787; skipping update. +2025-11-04 13:44:44,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:44,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:44,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:44,651 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:44,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.8, mean=-0.007927, std=3.181, absmax=13.8 +2025-11-04 13:44:44,652 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=12.56, mean=-0.01106, std=2.956, absmax=12.56 +2025-11-04 13:44:45,009 ERROR: Encountered non-finite generator loss at iter 24788; skipping update. +2025-11-04 13:44:45,010 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,011 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,011 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:45,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=13.18, mean=-0.05205, std=3.417, absmax=13.61 +2025-11-04 13:44:45,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.89, max=11.35, mean=-0.0586, std=3.178, absmax=12.89 +2025-11-04 13:44:45,369 ERROR: Encountered non-finite generator loss at iter 24789; skipping update. +2025-11-04 13:44:45,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,371 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,371 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:45,372 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.67, max=13.87, mean=-0.02852, std=3.28, absmax=14.67 +2025-11-04 13:44:45,372 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=12.47, mean=-0.026, std=3.076, absmax=13.02 +2025-11-04 13:44:45,729 ERROR: Encountered non-finite generator loss at iter 24790; skipping update. +2025-11-04 13:44:45,730 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,731 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:45,731 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:45,732 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=16.81, mean=-0.2511, std=2.927, absmax=16.81 +2025-11-04 13:44:45,732 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=13.31, mean=-0.2346, std=2.662, absmax=13.31 +2025-11-04 13:44:46,088 ERROR: Encountered non-finite generator loss at iter 24791; skipping update. +2025-11-04 13:44:46,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,090 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,091 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:46,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=11.89, mean=-0.3931, std=3.335, absmax=13.41 +2025-11-04 13:44:46,092 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=10.19, mean=-0.4107, std=3.226, absmax=13.12 +2025-11-04 13:44:46,449 ERROR: Encountered non-finite generator loss at iter 24792; skipping update. +2025-11-04 13:44:46,450 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:46,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=12.79, mean=-0.1589, std=2.791, absmax=12.79 +2025-11-04 13:44:46,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=10.97, mean=-0.1343, std=2.573, absmax=12.07 +2025-11-04 13:44:46,808 ERROR: Encountered non-finite generator loss at iter 24793; skipping update. +2025-11-04 13:44:46,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:46,810 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:46,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.13, mean=-0.1053, std=2.866, absmax=12.17 +2025-11-04 13:44:46,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.18, max=12.63, mean=-0.09353, std=2.673, absmax=12.63 +2025-11-04 13:44:47,168 ERROR: Encountered non-finite generator loss at iter 24794; skipping update. +2025-11-04 13:44:47,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:47,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.13, max=13.55, mean=-0.2419, std=2.791, absmax=16.13 +2025-11-04 13:44:47,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.55, max=12.49, mean=-0.2367, std=2.641, absmax=14.55 +2025-11-04 13:44:47,527 ERROR: Encountered non-finite generator loss at iter 24795; skipping update. +2025-11-04 13:44:47,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,529 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:47,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.13, mean=-0.3251, std=2.449, absmax=11.65 +2025-11-04 13:44:47,531 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=8.873, mean=-0.3013, std=2.293, absmax=10.42 +2025-11-04 13:44:47,888 ERROR: Encountered non-finite generator loss at iter 24796; skipping update. +2025-11-04 13:44:47,888 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:47,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:47,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=11.86, mean=-0.2783, std=2.732, absmax=11.86 +2025-11-04 13:44:47,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=10.36, mean=-0.2462, std=2.568, absmax=10.96 +2025-11-04 13:44:48,248 ERROR: Encountered non-finite generator loss at iter 24797; skipping update. +2025-11-04 13:44:48,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:48,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.93, mean=-0.222, std=3.814, absmax=13.03 +2025-11-04 13:44:48,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.05, max=10.72, mean=-0.203, std=3.543, absmax=14.05 +2025-11-04 13:44:48,608 ERROR: Encountered non-finite generator loss at iter 24798; skipping update. +2025-11-04 13:44:48,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:48,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.33, mean=-0.04856, std=3.125, absmax=13.33 +2025-11-04 13:44:48,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.45, mean=-0.01324, std=2.878, absmax=11.45 +2025-11-04 13:44:48,968 ERROR: Encountered non-finite generator loss at iter 24799; skipping update. +2025-11-04 13:44:48,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:48,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:48,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.77, mean=-0.2715, std=3.175, absmax=13.12 +2025-11-04 13:44:48,971 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=10.28, mean=-0.2207, std=2.997, absmax=12.27 +2025-11-04 13:44:49,328 ERROR: Encountered non-finite generator loss at iter 24800; skipping update. +2025-11-04 13:44:49,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:49,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:49,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:49,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:49,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=13.83, mean=-0.07593, std=3.306, absmax=13.83 +2025-11-04 13:44:49,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.39, mean=-0.03124, std=3.167, absmax=12.39 +2025-11-04 13:44:49,332 INFO: [38..][epoch: 0, step: 24,800, lr:(2.000e-04,)] [eta: 1 day, 3:18:38, time (data): 0.360 (0.000)] +2025-11-04 13:44:49,689 ERROR: Encountered non-finite generator loss at iter 24801; skipping update. +2025-11-04 13:44:49,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:49,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:49,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:49,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:49,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.23, max=12.61, mean=-0.1502, std=2.43, absmax=12.61 +2025-11-04 13:44:49,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.885, max=9.924, mean=-0.1623, std=2.224, absmax=9.924 +2025-11-04 13:44:50,049 ERROR: Encountered non-finite generator loss at iter 24802; skipping update. +2025-11-04 13:44:50,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:50,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=13.04, mean=-0.1677, std=2.706, absmax=13.04 +2025-11-04 13:44:50,052 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=10.65, mean=-0.1742, std=2.396, absmax=10.65 +2025-11-04 13:44:50,408 ERROR: Encountered non-finite generator loss at iter 24803; skipping update. +2025-11-04 13:44:50,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,410 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:50,411 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=18.36, mean=-0.2769, std=3.129, absmax=18.36 +2025-11-04 13:44:50,412 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.72, max=16.73, mean=-0.2776, std=2.828, absmax=16.73 +2025-11-04 13:44:50,768 ERROR: Encountered non-finite generator loss at iter 24804; skipping update. +2025-11-04 13:44:50,769 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,770 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:50,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:50,771 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=10.86, mean=-0.2409, std=2.972, absmax=12.13 +2025-11-04 13:44:50,772 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=10.63, mean=-0.1971, std=2.887, absmax=12.8 +2025-11-04 13:44:51,129 ERROR: Encountered non-finite generator loss at iter 24805; skipping update. +2025-11-04 13:44:51,130 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,130 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,131 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,131 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:51,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=14.95, mean=-0.06248, std=2.985, absmax=14.95 +2025-11-04 13:44:51,132 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.9, mean=-0.07287, std=2.772, absmax=12.9 +2025-11-04 13:44:51,489 ERROR: Encountered non-finite generator loss at iter 24806; skipping update. +2025-11-04 13:44:51,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,491 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:51,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.12, mean=-0.1026, std=3.228, absmax=14.12 +2025-11-04 13:44:51,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.06, max=14.49, mean=-0.05675, std=2.941, absmax=14.49 +2025-11-04 13:44:51,849 ERROR: Encountered non-finite generator loss at iter 24807; skipping update. +2025-11-04 13:44:51,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:51,851 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:51,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=12.59, mean=-0.01942, std=3.029, absmax=12.64 +2025-11-04 13:44:51,852 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=12.22, mean=0.01372, std=2.849, absmax=12.22 +2025-11-04 13:44:52,209 ERROR: Encountered non-finite generator loss at iter 24808; skipping update. +2025-11-04 13:44:52,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:52,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=12.56, mean=-0.2413, std=3.238, absmax=12.56 +2025-11-04 13:44:52,213 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.55, mean=-0.2034, std=2.928, absmax=11.55 +2025-11-04 13:44:52,569 ERROR: Encountered non-finite generator loss at iter 24809; skipping update. +2025-11-04 13:44:52,570 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,571 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:52,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=13.04, mean=-0.07186, std=2.913, absmax=13.04 +2025-11-04 13:44:52,572 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=11.81, mean=-0.03131, std=2.717, absmax=11.81 +2025-11-04 13:44:52,928 ERROR: Encountered non-finite generator loss at iter 24810; skipping update. +2025-11-04 13:44:52,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:52,931 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:52,932 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=11.56, mean=-0.3097, std=2.913, absmax=12.64 +2025-11-04 13:44:52,932 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=9.565, mean=-0.3092, std=2.892, absmax=12.07 +2025-11-04 13:44:53,289 ERROR: Encountered non-finite generator loss at iter 24811; skipping update. +2025-11-04 13:44:53,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:53,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:53,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:53,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:53,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=14.8, mean=-0.1255, std=2.778, absmax=14.8 +2025-11-04 13:44:53,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.974, max=12.04, mean=-0.1213, std=2.658, absmax=12.04 +2025-11-04 13:44:53,649 ERROR: Encountered non-finite generator loss at iter 24812; skipping update. +2025-11-04 13:44:53,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:53,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:53,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:53,651 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:53,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.35, mean=-0.2296, std=2.861, absmax=13.35 +2025-11-04 13:44:53,652 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.56, mean=-0.2031, std=2.638, absmax=12.56 +2025-11-04 13:44:54,008 ERROR: Encountered non-finite generator loss at iter 24813; skipping update. +2025-11-04 13:44:54,009 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,010 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,010 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,010 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:54,011 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.43, mean=-0.03369, std=3.251, absmax=14.43 +2025-11-04 13:44:54,012 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.53, mean=-0.05843, std=2.973, absmax=12.76 +2025-11-04 13:44:54,368 ERROR: Encountered non-finite generator loss at iter 24814; skipping update. +2025-11-04 13:44:54,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,370 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:54,371 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.88, mean=-0.2681, std=3.201, absmax=13.88 +2025-11-04 13:44:54,372 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.46, mean=-0.2546, std=3.018, absmax=12.46 +2025-11-04 13:44:54,728 ERROR: Encountered non-finite generator loss at iter 24815; skipping update. +2025-11-04 13:44:54,729 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,730 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,730 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:54,731 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:54,731 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.34, max=10.33, mean=-0.1067, std=2.205, absmax=11.34 +2025-11-04 13:44:54,732 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.696, max=9.813, mean=-0.1007, std=2.111, absmax=9.813 +2025-11-04 13:44:55,088 ERROR: Encountered non-finite generator loss at iter 24816; skipping update. +2025-11-04 13:44:55,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,090 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,090 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,090 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:55,091 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.39, mean=-0.1589, std=3.203, absmax=13.35 +2025-11-04 13:44:55,092 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.87, mean=-0.1666, std=3.03, absmax=11.87 +2025-11-04 13:44:55,448 ERROR: Encountered non-finite generator loss at iter 24817; skipping update. +2025-11-04 13:44:55,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,451 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:55,451 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.88, max=12.27, mean=-0.2434, std=3.243, absmax=12.88 +2025-11-04 13:44:55,452 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=9.984, mean=-0.2365, std=2.994, absmax=12.47 +2025-11-04 13:44:55,808 ERROR: Encountered non-finite generator loss at iter 24818; skipping update. +2025-11-04 13:44:55,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,810 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,810 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:55,811 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:55,811 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=11.9, mean=-0.1636, std=3.346, absmax=13.92 +2025-11-04 13:44:55,812 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.73, max=12.09, mean=-0.1552, std=3.228, absmax=13.73 +2025-11-04 13:44:56,168 ERROR: Encountered non-finite generator loss at iter 24819; skipping update. +2025-11-04 13:44:56,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:56,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=15.65, mean=-0.1674, std=2.687, absmax=15.65 +2025-11-04 13:44:56,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=11.29, mean=-0.1663, std=2.487, absmax=11.29 +2025-11-04 13:44:56,528 ERROR: Encountered non-finite generator loss at iter 24820; skipping update. +2025-11-04 13:44:56,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,530 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:56,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=14.79, mean=-0.08439, std=2.747, absmax=14.79 +2025-11-04 13:44:56,532 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.748, max=13.05, mean=-0.04656, std=2.536, absmax=13.05 +2025-11-04 13:44:56,888 ERROR: Encountered non-finite generator loss at iter 24821; skipping update. +2025-11-04 13:44:56,889 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,889 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,890 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:56,890 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:56,891 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=13.37, mean=-0.2086, std=2.897, absmax=13.37 +2025-11-04 13:44:56,891 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=12.71, mean=-0.1574, std=2.64, absmax=12.71 +2025-11-04 13:44:57,248 ERROR: Encountered non-finite generator loss at iter 24822; skipping update. +2025-11-04 13:44:57,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:57,251 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=11.52, mean=-0.2785, std=2.485, absmax=12.72 +2025-11-04 13:44:57,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.81, mean=-0.2721, std=2.318, absmax=10.81 +2025-11-04 13:44:57,608 ERROR: Encountered non-finite generator loss at iter 24823; skipping update. +2025-11-04 13:44:57,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:57,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.7, max=9.827, mean=-0.2257, std=2.5, absmax=10.7 +2025-11-04 13:44:57,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=9.286, mean=-0.2229, std=2.336, absmax=10.46 +2025-11-04 13:44:57,968 ERROR: Encountered non-finite generator loss at iter 24824; skipping update. +2025-11-04 13:44:57,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:57,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:57,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.59, mean=-0.1752, std=3.096, absmax=13.59 +2025-11-04 13:44:57,971 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=12.5, mean=-0.1619, std=2.876, absmax=12.5 +2025-11-04 13:44:58,329 ERROR: Encountered non-finite generator loss at iter 24825; skipping update. +2025-11-04 13:44:58,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:58,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:58,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:58,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:58,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=12.14, mean=-0.2112, std=2.717, absmax=13.17 +2025-11-04 13:44:58,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.26, max=10.6, mean=-0.2126, std=2.605, absmax=12.26 +2025-11-04 13:44:58,689 ERROR: Encountered non-finite generator loss at iter 24826; skipping update. +2025-11-04 13:44:58,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:58,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:58,691 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:58,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:58,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.08, mean=-0.1582, std=2.985, absmax=13.08 +2025-11-04 13:44:58,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.72, mean=-0.1727, std=2.767, absmax=10.9 +2025-11-04 13:44:59,049 ERROR: Encountered non-finite generator loss at iter 24827; skipping update. +2025-11-04 13:44:59,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,051 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,052 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:59,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.58, mean=-0.1994, std=2.646, absmax=12.03 +2025-11-04 13:44:59,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=9.937, mean=-0.1745, std=2.493, absmax=11.32 +2025-11-04 13:44:59,412 ERROR: Encountered non-finite generator loss at iter 24828; skipping update. +2025-11-04 13:44:59,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,413 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,414 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:59,414 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=14.62, mean=0.02201, std=3.364, absmax=14.62 +2025-11-04 13:44:59,415 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=12.49, mean=0.07916, std=3.149, absmax=12.49 +2025-11-04 13:44:59,771 ERROR: Encountered non-finite generator loss at iter 24829; skipping update. +2025-11-04 13:44:59,772 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,773 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:44:59,774 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:44:59,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=16.04, mean=-0.04715, std=3.292, absmax=16.04 +2025-11-04 13:44:59,775 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=14.91, mean=-0.03911, std=2.995, absmax=14.91 +2025-11-04 13:45:00,131 ERROR: Encountered non-finite generator loss at iter 24830; skipping update. +2025-11-04 13:45:00,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,134 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:00,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.35, mean=-0.2943, std=3.11, absmax=12.38 +2025-11-04 13:45:00,135 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=11.88, mean=-0.2626, std=2.983, absmax=11.88 +2025-11-04 13:45:00,491 ERROR: Encountered non-finite generator loss at iter 24831; skipping update. +2025-11-04 13:45:00,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,493 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:00,494 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=13.6, mean=-0.2331, std=2.487, absmax=13.6 +2025-11-04 13:45:00,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=13.07, mean=-0.2018, std=2.395, absmax=13.07 +2025-11-04 13:45:00,852 ERROR: Encountered non-finite generator loss at iter 24832; skipping update. +2025-11-04 13:45:00,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:00,855 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:00,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=16.14, mean=-0.02607, std=3.242, absmax=16.14 +2025-11-04 13:45:00,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=13.36, mean=-0.003381, std=3.187, absmax=13.36 +2025-11-04 13:45:01,213 ERROR: Encountered non-finite generator loss at iter 24833; skipping update. +2025-11-04 13:45:01,214 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,215 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,215 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:01,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.37, max=12.06, mean=-0.0995, std=2.505, absmax=12.06 +2025-11-04 13:45:01,216 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.377, max=8.722, mean=-0.09919, std=2.299, absmax=9.377 +2025-11-04 13:45:01,573 ERROR: Encountered non-finite generator loss at iter 24834; skipping update. +2025-11-04 13:45:01,574 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,575 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,576 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:01,576 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=15.9, mean=-0.1792, std=2.88, absmax=15.9 +2025-11-04 13:45:01,577 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=14.5, mean=-0.1815, std=2.767, absmax=14.5 +2025-11-04 13:45:01,934 ERROR: Encountered non-finite generator loss at iter 24835; skipping update. +2025-11-04 13:45:01,935 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,936 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:01,937 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:01,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=14.28, mean=-0.02783, std=3.199, absmax=14.28 +2025-11-04 13:45:01,938 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.61, max=13.52, mean=-0.03365, std=2.866, absmax=13.52 +2025-11-04 13:45:02,294 ERROR: Encountered non-finite generator loss at iter 24836; skipping update. +2025-11-04 13:45:02,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:02,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:02,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:02,297 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:02,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.06, max=12.32, mean=-0.2326, std=2.628, absmax=12.32 +2025-11-04 13:45:02,298 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.831, max=10.82, mean=-0.1926, std=2.438, absmax=10.82 +2025-11-04 13:45:02,655 ERROR: Encountered non-finite generator loss at iter 24837; skipping update. +2025-11-04 13:45:02,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:02,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:02,657 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:02,657 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:02,658 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.71, max=14.25, mean=-0.01291, std=3.04, absmax=14.25 +2025-11-04 13:45:02,658 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.59, mean=-0.02446, std=2.695, absmax=12.59 +2025-11-04 13:45:03,016 ERROR: Encountered non-finite generator loss at iter 24838; skipping update. +2025-11-04 13:45:03,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:03,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=15.51, mean=0.1474, std=3.805, absmax=15.51 +2025-11-04 13:45:03,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=15.07, mean=0.1708, std=3.646, absmax=15.07 +2025-11-04 13:45:03,376 ERROR: Encountered non-finite generator loss at iter 24839; skipping update. +2025-11-04 13:45:03,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:03,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.85, max=11.23, mean=-0.07219, std=2.869, absmax=13.85 +2025-11-04 13:45:03,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.72, mean=-0.03847, std=2.729, absmax=11.87 +2025-11-04 13:45:03,736 ERROR: Encountered non-finite generator loss at iter 24840; skipping update. +2025-11-04 13:45:03,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:03,739 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:03,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.71, mean=0.04134, std=3.508, absmax=13.71 +2025-11-04 13:45:03,740 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.82, max=13.22, mean=0.0398, std=3.297, absmax=13.22 +2025-11-04 13:45:04,097 ERROR: Encountered non-finite generator loss at iter 24841; skipping update. +2025-11-04 13:45:04,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,099 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:04,100 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=13.07, mean=-0.1208, std=2.645, absmax=13.33 +2025-11-04 13:45:04,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.24, mean=-0.05033, std=2.504, absmax=11.24 +2025-11-04 13:45:04,457 ERROR: Encountered non-finite generator loss at iter 24842; skipping update. +2025-11-04 13:45:04,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:04,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=13.05, mean=-0.266, std=3.115, absmax=14.17 +2025-11-04 13:45:04,460 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.41, max=11.45, mean=-0.2589, std=2.897, absmax=13.41 +2025-11-04 13:45:04,817 ERROR: Encountered non-finite generator loss at iter 24843; skipping update. +2025-11-04 13:45:04,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:04,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:04,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=13.69, mean=-0.1953, std=3.752, absmax=14.73 +2025-11-04 13:45:04,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=12.48, mean=-0.1659, std=3.463, absmax=13.23 +2025-11-04 13:45:05,178 ERROR: Encountered non-finite generator loss at iter 24844; skipping update. +2025-11-04 13:45:05,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:05,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=11.34, mean=-0.193, std=3.103, absmax=12.57 +2025-11-04 13:45:05,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=9.904, mean=-0.1725, std=2.968, absmax=12.3 +2025-11-04 13:45:05,539 ERROR: Encountered non-finite generator loss at iter 24845; skipping update. +2025-11-04 13:45:05,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:05,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.96, mean=-0.2016, std=2.98, absmax=13.35 +2025-11-04 13:45:05,542 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=9.932, mean=-0.2285, std=2.836, absmax=12.11 +2025-11-04 13:45:05,899 ERROR: Encountered non-finite generator loss at iter 24846; skipping update. +2025-11-04 13:45:05,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,901 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:05,901 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:05,902 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.39, mean=-0.1522, std=3.294, absmax=13.39 +2025-11-04 13:45:05,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.42, max=11.52, mean=-0.1272, std=2.997, absmax=11.52 +2025-11-04 13:45:06,259 ERROR: Encountered non-finite generator loss at iter 24847; skipping update. +2025-11-04 13:45:06,260 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,260 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,261 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,261 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:06,262 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=14.61, mean=-0.1058, std=3.359, absmax=14.61 +2025-11-04 13:45:06,262 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.09, max=13.64, mean=-0.07747, std=3.057, absmax=14.09 +2025-11-04 13:45:06,619 ERROR: Encountered non-finite generator loss at iter 24848; skipping update. +2025-11-04 13:45:06,620 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,621 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,621 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:06,622 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=12.21, mean=-0.2306, std=2.718, absmax=12.22 +2025-11-04 13:45:06,623 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=9.833, mean=-0.2385, std=2.5, absmax=11.62 +2025-11-04 13:45:06,980 ERROR: Encountered non-finite generator loss at iter 24849; skipping update. +2025-11-04 13:45:06,981 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,982 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:06,982 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:06,983 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.2, mean=-0.3134, std=2.898, absmax=13.2 +2025-11-04 13:45:06,983 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=12.31, mean=-0.3026, std=2.659, absmax=12.31 +2025-11-04 13:45:07,341 ERROR: Encountered non-finite generator loss at iter 24850; skipping update. +2025-11-04 13:45:07,342 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:07,342 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:07,343 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:07,343 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:07,344 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.88, mean=-0.2093, std=3.227, absmax=12.29 +2025-11-04 13:45:07,344 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=10.93, mean=-0.1579, std=3.023, absmax=12.09 +2025-11-04 13:45:07,702 ERROR: Encountered non-finite generator loss at iter 24851; skipping update. +2025-11-04 13:45:07,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:07,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:07,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:07,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:07,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.6, max=13.52, mean=-0.2031, std=2.986, absmax=13.52 +2025-11-04 13:45:07,705 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.86, mean=-0.2364, std=2.826, absmax=11.26 +2025-11-04 13:45:08,062 ERROR: Encountered non-finite generator loss at iter 24852; skipping update. +2025-11-04 13:45:08,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,064 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,065 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:08,065 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.71, mean=-0.2206, std=3.095, absmax=14.71 +2025-11-04 13:45:08,066 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.29, mean=-0.2067, std=2.925, absmax=11.91 +2025-11-04 13:45:08,423 ERROR: Encountered non-finite generator loss at iter 24853; skipping update. +2025-11-04 13:45:08,424 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,425 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,425 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,425 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:08,426 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=14.79, mean=-0.1553, std=2.846, absmax=14.79 +2025-11-04 13:45:08,427 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=12.05, mean=-0.1234, std=2.709, absmax=12.05 +2025-11-04 13:45:08,784 ERROR: Encountered non-finite generator loss at iter 24854; skipping update. +2025-11-04 13:45:08,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:08,786 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:08,787 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=11.75, mean=-0.2083, std=2.754, absmax=13.01 +2025-11-04 13:45:08,787 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=11.08, mean=-0.237, std=2.51, absmax=12.76 +2025-11-04 13:45:09,144 ERROR: Encountered non-finite generator loss at iter 24855; skipping update. +2025-11-04 13:45:09,145 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,146 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,146 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,147 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:09,147 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=11.47, mean=-0.2877, std=3.041, absmax=12.9 +2025-11-04 13:45:09,148 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=11.5, mean=-0.2634, std=2.967, absmax=13.53 +2025-11-04 13:45:09,506 ERROR: Encountered non-finite generator loss at iter 24856; skipping update. +2025-11-04 13:45:09,507 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,508 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,508 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:09,509 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=13.37, mean=-0.062, std=3.087, absmax=13.37 +2025-11-04 13:45:09,509 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=13.38, mean=-0.05813, std=2.882, absmax=13.38 +2025-11-04 13:45:09,866 ERROR: Encountered non-finite generator loss at iter 24857; skipping update. +2025-11-04 13:45:09,867 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:09,868 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:09,869 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.94, mean=-0.3188, std=2.982, absmax=13.94 +2025-11-04 13:45:09,869 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.63, mean=-0.2818, std=2.828, absmax=11.79 +2025-11-04 13:45:10,227 ERROR: Encountered non-finite generator loss at iter 24858; skipping update. +2025-11-04 13:45:10,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,229 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,229 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,229 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:10,230 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.04, mean=-0.1661, std=2.632, absmax=12.04 +2025-11-04 13:45:10,230 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.28, mean=-0.1707, std=2.4, absmax=11.28 +2025-11-04 13:45:10,588 ERROR: Encountered non-finite generator loss at iter 24859; skipping update. +2025-11-04 13:45:10,589 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,589 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,590 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,590 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:10,591 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.75, max=12.63, mean=-0.319, std=3.654, absmax=14.75 +2025-11-04 13:45:10,591 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=11.69, mean=-0.2512, std=3.39, absmax=13.34 +2025-11-04 13:45:10,949 ERROR: Encountered non-finite generator loss at iter 24860; skipping update. +2025-11-04 13:45:10,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,951 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:10,951 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:10,951 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12, mean=-0.1174, std=2.957, absmax=12.8 +2025-11-04 13:45:10,952 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=10.93, mean=-0.07446, std=2.784, absmax=11.79 +2025-11-04 13:45:11,309 ERROR: Encountered non-finite generator loss at iter 24861; skipping update. +2025-11-04 13:45:11,311 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:11,311 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:11,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:11,312 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:11,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.31, max=12.38, mean=-0.3653, std=3.37, absmax=16.31 +2025-11-04 13:45:11,313 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.68, max=10.29, mean=-0.3274, std=3.095, absmax=13.68 +2025-11-04 13:45:11,670 ERROR: Encountered non-finite generator loss at iter 24862; skipping update. +2025-11-04 13:45:11,671 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:11,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:11,672 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:11,672 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:11,673 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=13.41, mean=0.02767, std=2.627, absmax=13.41 +2025-11-04 13:45:11,673 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=9.497, mean=-0.01427, std=2.382, absmax=10.15 +2025-11-04 13:45:12,030 ERROR: Encountered non-finite generator loss at iter 24863; skipping update. +2025-11-04 13:45:12,031 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,032 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,032 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:12,033 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=11.97, mean=-0.2961, std=3.243, absmax=12.93 +2025-11-04 13:45:12,034 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.08, mean=-0.2723, std=2.882, absmax=11.18 +2025-11-04 13:45:12,391 ERROR: Encountered non-finite generator loss at iter 24864; skipping update. +2025-11-04 13:45:12,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:12,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=10.65, mean=-0.1784, std=2.847, absmax=13.46 +2025-11-04 13:45:12,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=9.872, mean=-0.1414, std=2.712, absmax=12.09 +2025-11-04 13:45:12,751 ERROR: Encountered non-finite generator loss at iter 24865; skipping update. +2025-11-04 13:45:12,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:12,754 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:12,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=12.8, mean=-0.2931, std=2.789, absmax=12.8 +2025-11-04 13:45:12,755 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=12.03, mean=-0.3474, std=2.688, absmax=12.03 +2025-11-04 13:45:13,112 ERROR: Encountered non-finite generator loss at iter 24866; skipping update. +2025-11-04 13:45:13,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:13,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.23, max=12.16, mean=-0.2481, std=2.61, absmax=12.16 +2025-11-04 13:45:13,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=11.08, mean=-0.1957, std=2.487, absmax=11.08 +2025-11-04 13:45:13,473 ERROR: Encountered non-finite generator loss at iter 24867; skipping update. +2025-11-04 13:45:13,474 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,475 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,475 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:13,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=11.86, mean=-0.2788, std=3.017, absmax=11.86 +2025-11-04 13:45:13,476 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=11.12, mean=-0.2845, std=2.967, absmax=12.09 +2025-11-04 13:45:13,834 ERROR: Encountered non-finite generator loss at iter 24868; skipping update. +2025-11-04 13:45:13,835 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,836 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:13,836 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:13,837 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=14.41, mean=-0.01946, std=3.526, absmax=14.41 +2025-11-04 13:45:13,837 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=14.17, mean=-0.04604, std=3.228, absmax=14.17 +2025-11-04 13:45:14,194 ERROR: Encountered non-finite generator loss at iter 24869; skipping update. +2025-11-04 13:45:14,195 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,196 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,196 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:14,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=10.81, mean=-0.306, std=2.942, absmax=12.38 +2025-11-04 13:45:14,197 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=11.09, mean=-0.2671, std=2.786, absmax=11.34 +2025-11-04 13:45:14,554 ERROR: Encountered non-finite generator loss at iter 24870; skipping update. +2025-11-04 13:45:14,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:14,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.81, mean=-0.1371, std=3.403, absmax=13.81 +2025-11-04 13:45:14,558 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=12.95, mean=-0.134, std=3.177, absmax=12.95 +2025-11-04 13:45:14,914 ERROR: Encountered non-finite generator loss at iter 24871; skipping update. +2025-11-04 13:45:14,915 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:14,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:14,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.95, max=14.89, mean=-0.272, std=2.529, absmax=14.89 +2025-11-04 13:45:14,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.762, max=10.83, mean=-0.2549, std=2.362, absmax=10.83 +2025-11-04 13:45:15,275 ERROR: Encountered non-finite generator loss at iter 24872; skipping update. +2025-11-04 13:45:15,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:15,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=15.46, mean=-0.1302, std=3.366, absmax=15.46 +2025-11-04 13:45:15,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=12.97, mean=-0.1244, std=3.196, absmax=12.97 +2025-11-04 13:45:15,635 ERROR: Encountered non-finite generator loss at iter 24873; skipping update. +2025-11-04 13:45:15,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:15,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.59, max=13.62, mean=-0.0348, std=3.196, absmax=13.62 +2025-11-04 13:45:15,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=12.57, mean=-0.01591, std=2.937, absmax=12.57 +2025-11-04 13:45:15,995 ERROR: Encountered non-finite generator loss at iter 24874; skipping update. +2025-11-04 13:45:15,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:15,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:15,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=14, mean=-0.004811, std=2.649, absmax=14 +2025-11-04 13:45:15,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.14, mean=-0.01225, std=2.463, absmax=12.14 +2025-11-04 13:45:16,355 ERROR: Encountered non-finite generator loss at iter 24875; skipping update. +2025-11-04 13:45:16,356 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:16,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:16,357 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:16,357 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:16,358 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=13.11, mean=-0.1324, std=3.041, absmax=13.11 +2025-11-04 13:45:16,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=11.63, mean=-0.1073, std=2.919, absmax=11.63 +2025-11-04 13:45:16,715 ERROR: Encountered non-finite generator loss at iter 24876; skipping update. +2025-11-04 13:45:16,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:16,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:16,717 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:16,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:16,718 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.48, mean=-0.1639, std=2.955, absmax=12.85 +2025-11-04 13:45:16,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.83, mean=-0.1352, std=2.82, absmax=11.83 +2025-11-04 13:45:17,076 ERROR: Encountered non-finite generator loss at iter 24877; skipping update. +2025-11-04 13:45:17,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:17,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=15.21, mean=-0.07141, std=2.875, absmax=15.21 +2025-11-04 13:45:17,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.05, max=14.03, mean=-0.007178, std=2.688, absmax=14.03 +2025-11-04 13:45:17,436 ERROR: Encountered non-finite generator loss at iter 24878; skipping update. +2025-11-04 13:45:17,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:17,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=11.14, mean=-0.1536, std=2.753, absmax=13.8 +2025-11-04 13:45:17,440 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.93, max=9.868, mean=-0.1512, std=2.466, absmax=12.93 +2025-11-04 13:45:17,797 ERROR: Encountered non-finite generator loss at iter 24879; skipping update. +2025-11-04 13:45:17,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:17,799 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:17,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=13.71, mean=-0.07713, std=3.236, absmax=13.71 +2025-11-04 13:45:17,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.28, mean=-0.05237, std=3.02, absmax=11.16 +2025-11-04 13:45:18,157 ERROR: Encountered non-finite generator loss at iter 24880; skipping update. +2025-11-04 13:45:18,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:18,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.63, max=14.13, mean=0.1248, std=3.273, absmax=14.63 +2025-11-04 13:45:18,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=12.75, mean=0.08974, std=2.949, absmax=12.75 +2025-11-04 13:45:18,518 ERROR: Encountered non-finite generator loss at iter 24881; skipping update. +2025-11-04 13:45:18,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,520 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:18,521 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=11.6, mean=-0.2008, std=2.558, absmax=11.65 +2025-11-04 13:45:18,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.144, max=11.42, mean=-0.1385, std=2.41, absmax=11.42 +2025-11-04 13:45:18,878 ERROR: Encountered non-finite generator loss at iter 24882; skipping update. +2025-11-04 13:45:18,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,880 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:18,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:18,881 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.51, max=14.87, mean=0.04158, std=3.264, absmax=14.87 +2025-11-04 13:45:18,882 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=14.23, mean=-0.001118, std=3.04, absmax=14.23 +2025-11-04 13:45:19,239 ERROR: Encountered non-finite generator loss at iter 24883; skipping update. +2025-11-04 13:45:19,240 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,240 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,241 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,241 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:19,242 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=13.52, mean=-0.1549, std=3.369, absmax=13.97 +2025-11-04 13:45:19,242 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=12.3, mean=-0.1772, std=3.149, absmax=12.3 +2025-11-04 13:45:19,599 ERROR: Encountered non-finite generator loss at iter 24884; skipping update. +2025-11-04 13:45:19,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,601 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:19,602 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.65, max=12.74, mean=-0.206, std=3.218, absmax=14.65 +2025-11-04 13:45:19,602 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=11.9, mean=-0.2265, std=2.979, absmax=12 +2025-11-04 13:45:19,960 ERROR: Encountered non-finite generator loss at iter 24885; skipping update. +2025-11-04 13:45:19,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:19,961 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:19,962 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=11.73, mean=-0.2337, std=2.858, absmax=13.22 +2025-11-04 13:45:19,962 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=11.72, mean=-0.2034, std=2.637, absmax=11.72 +2025-11-04 13:45:20,319 ERROR: Encountered non-finite generator loss at iter 24886; skipping update. +2025-11-04 13:45:20,321 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:20,321 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:20,322 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:20,322 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:20,323 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.44, max=15.4, mean=0.005805, std=2.941, absmax=15.4 +2025-11-04 13:45:20,323 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=12.58, mean=-0.0008211, std=2.618, absmax=12.58 +2025-11-04 13:45:20,680 ERROR: Encountered non-finite generator loss at iter 24887; skipping update. +2025-11-04 13:45:20,681 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:20,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:20,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:20,682 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:20,683 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.79, mean=-0.1264, std=2.881, absmax=13.79 +2025-11-04 13:45:20,683 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.89, mean=-0.1273, std=2.665, absmax=11.89 +2025-11-04 13:45:21,041 ERROR: Encountered non-finite generator loss at iter 24888; skipping update. +2025-11-04 13:45:21,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,043 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:21,044 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=15.33, mean=-0.06706, std=2.952, absmax=15.33 +2025-11-04 13:45:21,044 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=14.33, mean=-0.1233, std=2.753, absmax=14.33 +2025-11-04 13:45:21,402 ERROR: Encountered non-finite generator loss at iter 24889; skipping update. +2025-11-04 13:45:21,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,404 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:21,405 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=11.46, mean=-0.1799, std=3.413, absmax=14.74 +2025-11-04 13:45:21,405 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.6, max=10.3, mean=-0.1828, std=3.115, absmax=13.6 +2025-11-04 13:45:21,762 ERROR: Encountered non-finite generator loss at iter 24890; skipping update. +2025-11-04 13:45:21,763 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:21,764 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:21,765 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=11.94, mean=0.06908, std=3.261, absmax=12.3 +2025-11-04 13:45:21,766 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=12.04, mean=0.08298, std=3.012, absmax=12.04 +2025-11-04 13:45:22,123 ERROR: Encountered non-finite generator loss at iter 24891; skipping update. +2025-11-04 13:45:22,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,124 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,125 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:22,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=12.14, mean=-0.001012, std=2.981, absmax=12.14 +2025-11-04 13:45:22,126 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=12.56, mean=0.006314, std=2.723, absmax=12.56 +2025-11-04 13:45:22,483 ERROR: Encountered non-finite generator loss at iter 24892; skipping update. +2025-11-04 13:45:22,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,486 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:22,486 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=13.32, mean=-0.2213, std=3.307, absmax=14.24 +2025-11-04 13:45:22,487 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=12.36, mean=-0.2148, std=3.042, absmax=12.43 +2025-11-04 13:45:22,843 ERROR: Encountered non-finite generator loss at iter 24893; skipping update. +2025-11-04 13:45:22,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:22,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:22,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=14.92, mean=-0.3481, std=2.972, absmax=14.92 +2025-11-04 13:45:22,846 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=13.09, mean=-0.3169, std=2.842, absmax=13.09 +2025-11-04 13:45:23,204 ERROR: Encountered non-finite generator loss at iter 24894; skipping update. +2025-11-04 13:45:23,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,205 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,206 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,206 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:23,207 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.49, mean=-0.04097, std=2.825, absmax=12.49 +2025-11-04 13:45:23,207 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=10.14, mean=-0.04266, std=2.67, absmax=10.5 +2025-11-04 13:45:23,564 ERROR: Encountered non-finite generator loss at iter 24895; skipping update. +2025-11-04 13:45:23,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,566 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:23,567 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.54, mean=-0.1062, std=3.206, absmax=12.54 +2025-11-04 13:45:23,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=10.64, mean=-0.1607, std=3.007, absmax=11.75 +2025-11-04 13:45:23,924 ERROR: Encountered non-finite generator loss at iter 24896; skipping update. +2025-11-04 13:45:23,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:23,926 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:23,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=12.51, mean=-0.1352, std=2.923, absmax=12.51 +2025-11-04 13:45:23,927 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.21, mean=-0.169, std=2.694, absmax=11.21 +2025-11-04 13:45:24,284 ERROR: Encountered non-finite generator loss at iter 24897; skipping update. +2025-11-04 13:45:24,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:24,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:24,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:24,286 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:24,287 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.73, mean=-0.3415, std=3.023, absmax=13.03 +2025-11-04 13:45:24,287 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=11.06, mean=-0.3136, std=2.811, absmax=12.8 +2025-11-04 13:45:24,644 ERROR: Encountered non-finite generator loss at iter 24898; skipping update. +2025-11-04 13:45:24,645 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:24,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:24,646 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:24,646 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:24,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=14.17, mean=-0.2383, std=3.119, absmax=14.17 +2025-11-04 13:45:24,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=12.99, mean=-0.2286, std=2.922, absmax=12.99 +2025-11-04 13:45:25,005 ERROR: Encountered non-finite generator loss at iter 24899; skipping update. +2025-11-04 13:45:25,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:25,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=14.16, mean=-0.2264, std=3.56, absmax=14.16 +2025-11-04 13:45:25,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.39, mean=-0.2274, std=3.232, absmax=12.39 +2025-11-04 13:45:25,365 ERROR: Encountered non-finite generator loss at iter 24900; skipping update. +2025-11-04 13:45:25,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,366 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,366 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,367 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:25,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.47, mean=-0.08371, std=2.894, absmax=13.75 +2025-11-04 13:45:25,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=10.99, mean=-0.03991, std=2.722, absmax=11.95 +2025-11-04 13:45:25,368 INFO: [38..][epoch: 0, step: 24,900, lr:(2.000e-04,)] [eta: 1 day, 3:12:50, time (data): 0.360 (0.000)] +2025-11-04 13:45:25,725 ERROR: Encountered non-finite generator loss at iter 24901; skipping update. +2025-11-04 13:45:25,726 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,727 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,727 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:25,728 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:25,728 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11, mean=-0.2704, std=2.892, absmax=13.35 +2025-11-04 13:45:25,729 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=9.645, mean=-0.2452, std=2.637, absmax=12.17 +2025-11-04 13:45:26,086 ERROR: Encountered non-finite generator loss at iter 24902; skipping update. +2025-11-04 13:45:26,087 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,088 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,088 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:26,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.64, max=13.94, mean=0.1204, std=3.53, absmax=13.94 +2025-11-04 13:45:26,089 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=13.68, mean=0.1028, std=3.219, absmax=13.68 +2025-11-04 13:45:26,446 ERROR: Encountered non-finite generator loss at iter 24903; skipping update. +2025-11-04 13:45:26,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,448 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:26,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=15.05, mean=-0.1221, std=3.332, absmax=15.05 +2025-11-04 13:45:26,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=13.2, mean=-0.1115, std=3.014, absmax=13.2 +2025-11-04 13:45:26,807 ERROR: Encountered non-finite generator loss at iter 24904; skipping update. +2025-11-04 13:45:26,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,808 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:26,809 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:26,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=17.51, mean=-0.2851, std=2.718, absmax=17.51 +2025-11-04 13:45:26,810 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.2, max=15.35, mean=-0.275, std=2.428, absmax=15.35 +2025-11-04 13:45:27,167 ERROR: Encountered non-finite generator loss at iter 24905; skipping update. +2025-11-04 13:45:27,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,168 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,169 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:27,170 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.94, mean=-0.1845, std=2.872, absmax=12.94 +2025-11-04 13:45:27,170 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=10.35, mean=-0.1931, std=2.601, absmax=12.18 +2025-11-04 13:45:27,527 ERROR: Encountered non-finite generator loss at iter 24906; skipping update. +2025-11-04 13:45:27,528 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,529 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,529 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,529 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:27,530 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.95, mean=-0.2608, std=3.098, absmax=13.27 +2025-11-04 13:45:27,530 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=12.23, mean=-0.2856, std=2.952, absmax=12.28 +2025-11-04 13:45:27,887 ERROR: Encountered non-finite generator loss at iter 24907; skipping update. +2025-11-04 13:45:27,888 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:27,889 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:27,890 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=15.6, mean=-0.1539, std=3.015, absmax=15.6 +2025-11-04 13:45:27,890 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.09, mean=-0.1624, std=2.75, absmax=10.85 +2025-11-04 13:45:28,247 ERROR: Encountered non-finite generator loss at iter 24908; skipping update. +2025-11-04 13:45:28,248 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,249 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,249 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,250 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:28,250 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.48, max=13.53, mean=-0.07884, std=2.521, absmax=13.53 +2025-11-04 13:45:28,251 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.229, max=12.06, mean=-0.04531, std=2.407, absmax=12.06 +2025-11-04 13:45:28,608 ERROR: Encountered non-finite generator loss at iter 24909; skipping update. +2025-11-04 13:45:28,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,611 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:28,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=13.93, mean=0.08189, std=3.563, absmax=15 +2025-11-04 13:45:28,612 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=13, mean=0.06155, std=3.297, absmax=13 +2025-11-04 13:45:28,969 ERROR: Encountered non-finite generator loss at iter 24910; skipping update. +2025-11-04 13:45:28,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:28,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:28,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=15.46, mean=-0.0924, std=2.783, absmax=15.46 +2025-11-04 13:45:28,972 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=11.87, mean=-0.06405, std=2.638, absmax=11.87 +2025-11-04 13:45:29,329 ERROR: Encountered non-finite generator loss at iter 24911; skipping update. +2025-11-04 13:45:29,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:29,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:29,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:29,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:29,332 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=12.78, mean=-0.1319, std=3.151, absmax=13.29 +2025-11-04 13:45:29,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=12.24, mean=-0.08367, std=2.902, absmax=12.24 +2025-11-04 13:45:29,689 ERROR: Encountered non-finite generator loss at iter 24912; skipping update. +2025-11-04 13:45:29,690 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:29,691 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:29,691 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:29,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:29,692 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=14.22, mean=-0.319, std=3.183, absmax=14.22 +2025-11-04 13:45:29,693 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=12.9, mean=-0.2743, std=2.973, absmax=12.9 +2025-11-04 13:45:30,049 ERROR: Encountered non-finite generator loss at iter 24913; skipping update. +2025-11-04 13:45:30,051 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,051 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,052 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:30,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=10.62, mean=-0.1382, std=3.093, absmax=13.04 +2025-11-04 13:45:30,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=9.161, mean=-0.1145, std=2.834, absmax=11.84 +2025-11-04 13:45:30,410 ERROR: Encountered non-finite generator loss at iter 24914; skipping update. +2025-11-04 13:45:30,411 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,411 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,412 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:30,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=15.09, mean=-0.05625, std=3.221, absmax=15.09 +2025-11-04 13:45:30,413 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.876, max=13.64, mean=-0.0444, std=2.967, absmax=13.64 +2025-11-04 13:45:30,770 ERROR: Encountered non-finite generator loss at iter 24915; skipping update. +2025-11-04 13:45:30,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,772 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:30,772 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:30,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=12.65, mean=-0.3166, std=2.686, absmax=12.8 +2025-11-04 13:45:30,773 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=10.19, mean=-0.2774, std=2.492, absmax=10.73 +2025-11-04 13:45:31,130 ERROR: Encountered non-finite generator loss at iter 24916; skipping update. +2025-11-04 13:45:31,131 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,132 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,132 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:31,133 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=13.74, mean=-0.1991, std=2.896, absmax=13.74 +2025-11-04 13:45:31,133 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=13.21, mean=-0.1984, std=2.723, absmax=13.21 +2025-11-04 13:45:31,490 ERROR: Encountered non-finite generator loss at iter 24917; skipping update. +2025-11-04 13:45:31,491 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,492 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,492 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:31,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.15, max=13.34, mean=-0.2118, std=2.797, absmax=15.15 +2025-11-04 13:45:31,493 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.13, max=11.39, mean=-0.208, std=2.622, absmax=14.13 +2025-11-04 13:45:31,849 ERROR: Encountered non-finite generator loss at iter 24918; skipping update. +2025-11-04 13:45:31,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:31,852 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:31,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=10.81, mean=-0.1977, std=2.62, absmax=12.8 +2025-11-04 13:45:31,853 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=9.682, mean=-0.1898, std=2.478, absmax=10.92 +2025-11-04 13:45:32,209 ERROR: Encountered non-finite generator loss at iter 24919; skipping update. +2025-11-04 13:45:32,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:32,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=12.89, mean=-0.179, std=2.527, absmax=13.01 +2025-11-04 13:45:32,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11, mean=-0.1688, std=2.311, absmax=11 +2025-11-04 13:45:32,568 ERROR: Encountered non-finite generator loss at iter 24920; skipping update. +2025-11-04 13:45:32,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,570 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:32,570 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=11.66, mean=-0.2987, std=2.887, absmax=11.66 +2025-11-04 13:45:32,571 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=10.68, mean=-0.2813, std=2.779, absmax=11.2 +2025-11-04 13:45:32,928 ERROR: Encountered non-finite generator loss at iter 24921; skipping update. +2025-11-04 13:45:32,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:32,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:32,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.59, max=13.72, mean=-0.04697, std=2.658, absmax=13.72 +2025-11-04 13:45:32,931 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.31, max=12.56, mean=-0.07445, std=2.528, absmax=12.56 +2025-11-04 13:45:33,289 ERROR: Encountered non-finite generator loss at iter 24922; skipping update. +2025-11-04 13:45:33,290 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:33,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:33,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:33,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:33,292 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=16.64, mean=-0.3017, std=3.523, absmax=16.64 +2025-11-04 13:45:33,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=16.06, mean=-0.266, std=3.282, absmax=16.06 +2025-11-04 13:45:33,649 ERROR: Encountered non-finite generator loss at iter 24923; skipping update. +2025-11-04 13:45:33,651 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:33,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:33,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:33,652 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:33,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=13.47, mean=-0.137, std=3.106, absmax=13.47 +2025-11-04 13:45:33,653 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.71, mean=-0.1452, std=2.892, absmax=12.71 +2025-11-04 13:45:34,010 ERROR: Encountered non-finite generator loss at iter 24924; skipping update. +2025-11-04 13:45:34,011 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,012 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,012 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,013 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:34,013 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=12.27, mean=0.04847, std=2.856, absmax=12.27 +2025-11-04 13:45:34,014 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.567, max=11.48, mean=0.007264, std=2.723, absmax=11.48 +2025-11-04 13:45:34,370 ERROR: Encountered non-finite generator loss at iter 24925; skipping update. +2025-11-04 13:45:34,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,372 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,373 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:34,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=11.93, mean=-0.1403, std=3.249, absmax=13 +2025-11-04 13:45:34,374 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=11.07, mean=-0.1384, std=2.947, absmax=11.99 +2025-11-04 13:45:34,731 ERROR: Encountered non-finite generator loss at iter 24926; skipping update. +2025-11-04 13:45:34,731 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:34,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:34,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=12.29, mean=-0.04201, std=3.187, absmax=13.4 +2025-11-04 13:45:34,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=11.04, mean=-0.09488, std=2.825, absmax=11.38 +2025-11-04 13:45:35,091 ERROR: Encountered non-finite generator loss at iter 24927; skipping update. +2025-11-04 13:45:35,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,093 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:35,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=11.39, mean=-0.08801, std=2.62, absmax=12.67 +2025-11-04 13:45:35,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=10.59, mean=-0.05661, std=2.481, absmax=11.02 +2025-11-04 13:45:35,452 ERROR: Encountered non-finite generator loss at iter 24928; skipping update. +2025-11-04 13:45:35,453 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,454 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,454 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:35,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=12.89, mean=0.09634, std=3.055, absmax=12.89 +2025-11-04 13:45:35,455 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.87, mean=0.1079, std=2.889, absmax=11.87 +2025-11-04 13:45:35,812 ERROR: Encountered non-finite generator loss at iter 24929; skipping update. +2025-11-04 13:45:35,813 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:35,814 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:35,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=17.63, mean=-0.1061, std=3.266, absmax=17.63 +2025-11-04 13:45:35,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=14.8, mean=-0.1046, std=2.995, absmax=14.8 +2025-11-04 13:45:36,172 ERROR: Encountered non-finite generator loss at iter 24930; skipping update. +2025-11-04 13:45:36,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,174 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:36,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.06, max=14.98, mean=0.09788, std=3.745, absmax=15.06 +2025-11-04 13:45:36,175 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.71, max=14.37, mean=0.1103, std=3.563, absmax=14.37 +2025-11-04 13:45:36,533 ERROR: Encountered non-finite generator loss at iter 24931; skipping update. +2025-11-04 13:45:36,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:36,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.64, max=10.88, mean=-0.006551, std=2.778, absmax=10.88 +2025-11-04 13:45:36,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.28, max=9.434, mean=-0.05157, std=2.477, absmax=10.28 +2025-11-04 13:45:36,893 ERROR: Encountered non-finite generator loss at iter 24932; skipping update. +2025-11-04 13:45:36,894 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,895 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:36,895 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:36,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=14.33, mean=0.05634, std=3.631, absmax=14.33 +2025-11-04 13:45:36,896 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=14.17, mean=0.03979, std=3.367, absmax=14.17 +2025-11-04 13:45:37,254 ERROR: Encountered non-finite generator loss at iter 24933; skipping update. +2025-11-04 13:45:37,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,256 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,256 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:37,257 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=10.65, mean=-0.1715, std=2.918, absmax=14.18 +2025-11-04 13:45:37,257 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=10.12, mean=-0.1961, std=2.794, absmax=11.68 +2025-11-04 13:45:37,614 ERROR: Encountered non-finite generator loss at iter 24934; skipping update. +2025-11-04 13:45:37,615 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,617 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:37,617 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=13.29, mean=-0.01307, std=2.801, absmax=13.29 +2025-11-04 13:45:37,618 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=11.59, mean=-0.02388, std=2.633, absmax=11.59 +2025-11-04 13:45:37,974 ERROR: Encountered non-finite generator loss at iter 24935; skipping update. +2025-11-04 13:45:37,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:37,976 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:37,977 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.71, max=14.6, mean=0.05422, std=3.314, absmax=16.71 +2025-11-04 13:45:37,978 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.77, max=14.55, mean=0.0418, std=3.118, absmax=14.77 +2025-11-04 13:45:38,335 ERROR: Encountered non-finite generator loss at iter 24936; skipping update. +2025-11-04 13:45:38,336 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:38,336 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:38,337 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:38,337 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:38,338 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=13.16, mean=-0.2082, std=3.538, absmax=13.52 +2025-11-04 13:45:38,338 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=13.43, mean=-0.1539, std=3.348, absmax=13.43 +2025-11-04 13:45:38,695 ERROR: Encountered non-finite generator loss at iter 24937; skipping update. +2025-11-04 13:45:38,696 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:38,697 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:38,697 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:38,698 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:38,698 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.85, max=14.15, mean=-0.274, std=3.336, absmax=14.85 +2025-11-04 13:45:38,699 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=11.36, mean=-0.3099, std=3.06, absmax=12.13 +2025-11-04 13:45:39,056 ERROR: Encountered non-finite generator loss at iter 24938; skipping update. +2025-11-04 13:45:39,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:39,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=11.94, mean=-0.2872, std=2.853, absmax=12.81 +2025-11-04 13:45:39,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=11.45, mean=-0.2749, std=2.683, absmax=12.68 +2025-11-04 13:45:39,417 ERROR: Encountered non-finite generator loss at iter 24939; skipping update. +2025-11-04 13:45:39,418 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,418 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,419 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,419 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:39,420 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.61, mean=-0.2497, std=3.346, absmax=14.61 +2025-11-04 13:45:39,420 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10.57, mean=-0.228, std=2.977, absmax=12.05 +2025-11-04 13:45:39,778 ERROR: Encountered non-finite generator loss at iter 24940; skipping update. +2025-11-04 13:45:39,779 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,779 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,780 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:39,780 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:39,781 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.11, mean=-0.2351, std=2.72, absmax=13.1 +2025-11-04 13:45:39,781 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.62, max=11.24, mean=-0.1869, std=2.579, absmax=11.24 +2025-11-04 13:45:40,138 ERROR: Encountered non-finite generator loss at iter 24941; skipping update. +2025-11-04 13:45:40,140 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,140 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,140 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,141 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:40,141 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.16, mean=-0.1788, std=2.624, absmax=11.42 +2025-11-04 13:45:40,142 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.779, max=12.18, mean=-0.1617, std=2.603, absmax=12.18 +2025-11-04 13:45:40,499 ERROR: Encountered non-finite generator loss at iter 24942; skipping update. +2025-11-04 13:45:40,500 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,501 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,501 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:40,502 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=13.03, mean=-0.1422, std=3.1, absmax=13.03 +2025-11-04 13:45:40,502 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=12.01, mean=-0.1456, std=2.892, absmax=12.01 +2025-11-04 13:45:40,859 ERROR: Encountered non-finite generator loss at iter 24943; skipping update. +2025-11-04 13:45:40,860 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,861 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,861 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:40,862 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:40,862 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.81, mean=-0.1778, std=2.426, absmax=13.97 +2025-11-04 13:45:40,863 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=9.72, mean=-0.1369, std=2.256, absmax=10.25 +2025-11-04 13:45:41,221 ERROR: Encountered non-finite generator loss at iter 24944; skipping update. +2025-11-04 13:45:41,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:41,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=14.79, mean=-0.04113, std=2.912, absmax=14.79 +2025-11-04 13:45:41,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=13.93, mean=-0.01775, std=2.599, absmax=13.93 +2025-11-04 13:45:41,581 ERROR: Encountered non-finite generator loss at iter 24945; skipping update. +2025-11-04 13:45:41,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,584 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,584 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:41,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.56, mean=-0.2272, std=3.255, absmax=14.77 +2025-11-04 13:45:41,585 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=13.58, mean=-0.216, std=3.063, absmax=13.58 +2025-11-04 13:45:41,942 ERROR: Encountered non-finite generator loss at iter 24946; skipping update. +2025-11-04 13:45:41,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,944 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,944 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:41,945 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:41,945 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.33, max=14.19, mean=-0.102, std=3.407, absmax=14.19 +2025-11-04 13:45:41,946 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=12.66, mean=-0.05936, std=3.211, absmax=12.66 +2025-11-04 13:45:42,303 ERROR: Encountered non-finite generator loss at iter 24947; skipping update. +2025-11-04 13:45:42,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:42,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:42,305 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:42,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:42,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=13.89, mean=-0.2059, std=3.322, absmax=14.4 +2025-11-04 13:45:42,306 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=12, mean=-0.197, std=3.097, absmax=13.16 +2025-11-04 13:45:42,663 ERROR: Encountered non-finite generator loss at iter 24948; skipping update. +2025-11-04 13:45:42,664 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:42,664 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:42,665 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:42,665 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:42,666 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13, max=12.49, mean=-0.2559, std=2.611, absmax=13 +2025-11-04 13:45:42,666 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.966, max=9.593, mean=-0.2292, std=2.374, absmax=9.966 +2025-11-04 13:45:43,023 ERROR: Encountered non-finite generator loss at iter 24949; skipping update. +2025-11-04 13:45:43,024 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,025 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:43,026 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.94, mean=-0.2333, std=2.922, absmax=12.96 +2025-11-04 13:45:43,026 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=9.529, mean=-0.247, std=2.744, absmax=11.76 +2025-11-04 13:45:43,383 ERROR: Encountered non-finite generator loss at iter 24950; skipping update. +2025-11-04 13:45:43,385 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,385 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,386 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:43,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=13.01, mean=-0.002933, std=3.026, absmax=13.01 +2025-11-04 13:45:43,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=10.56, mean=-0.02592, std=2.737, absmax=10.56 +2025-11-04 13:45:43,744 ERROR: Encountered non-finite generator loss at iter 24951; skipping update. +2025-11-04 13:45:43,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:43,746 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:43,747 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=10.65, mean=-0.1937, std=2.649, absmax=12.61 +2025-11-04 13:45:43,748 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=10.06, mean=-0.2173, std=2.507, absmax=11.71 +2025-11-04 13:45:44,105 ERROR: Encountered non-finite generator loss at iter 24952; skipping update. +2025-11-04 13:45:44,106 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,106 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,107 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,107 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:44,108 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=15.33, mean=-0.2051, std=2.657, absmax=15.33 +2025-11-04 13:45:44,108 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.49, max=13.07, mean=-0.1942, std=2.488, absmax=13.07 +2025-11-04 13:45:44,465 ERROR: Encountered non-finite generator loss at iter 24953; skipping update. +2025-11-04 13:45:44,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,467 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:44,468 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=17.17, mean=-0.1827, std=3.158, absmax=17.17 +2025-11-04 13:45:44,468 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=15.87, mean=-0.1347, std=2.941, absmax=15.87 +2025-11-04 13:45:44,826 ERROR: Encountered non-finite generator loss at iter 24954; skipping update. +2025-11-04 13:45:44,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,828 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:44,828 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:44,828 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.83, mean=-0.1717, std=3.118, absmax=14.83 +2025-11-04 13:45:44,829 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=14.17, mean=-0.1603, std=2.791, absmax=14.17 +2025-11-04 13:45:45,186 ERROR: Encountered non-finite generator loss at iter 24955; skipping update. +2025-11-04 13:45:45,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,188 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:45,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.66, mean=-0.06428, std=2.516, absmax=12.66 +2025-11-04 13:45:45,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=11.64, mean=-0.08893, std=2.404, absmax=11.64 +2025-11-04 13:45:45,546 ERROR: Encountered non-finite generator loss at iter 24956; skipping update. +2025-11-04 13:45:45,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,549 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:45,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=12.54, mean=-0.1376, std=2.515, absmax=12.83 +2025-11-04 13:45:45,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=12.15, mean=-0.1461, std=2.403, absmax=12.15 +2025-11-04 13:45:45,907 ERROR: Encountered non-finite generator loss at iter 24957; skipping update. +2025-11-04 13:45:45,909 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,909 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,909 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:45,910 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:45,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=13.89, mean=-0.249, std=2.881, absmax=13.89 +2025-11-04 13:45:45,911 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=11.2, mean=-0.227, std=2.752, absmax=12.47 +2025-11-04 13:45:46,268 ERROR: Encountered non-finite generator loss at iter 24958; skipping update. +2025-11-04 13:45:46,269 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,269 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,270 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,270 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:46,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.51, max=12.43, mean=-0.1705, std=2.911, absmax=13.51 +2025-11-04 13:45:46,271 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.39, mean=-0.2094, std=2.722, absmax=12.39 +2025-11-04 13:45:46,628 ERROR: Encountered non-finite generator loss at iter 24959; skipping update. +2025-11-04 13:45:46,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,630 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:46,631 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=11.3, mean=-0.2063, std=2.633, absmax=11.96 +2025-11-04 13:45:46,632 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=10.17, mean=-0.1934, std=2.526, absmax=10.26 +2025-11-04 13:45:46,988 ERROR: Encountered non-finite generator loss at iter 24960; skipping update. +2025-11-04 13:45:46,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:46,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:46,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.53, mean=-0.2326, std=3.357, absmax=13.53 +2025-11-04 13:45:46,992 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=12.38, mean=-0.1851, std=3.079, absmax=12.83 +2025-11-04 13:45:47,349 ERROR: Encountered non-finite generator loss at iter 24961; skipping update. +2025-11-04 13:45:47,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:47,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:47,351 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:47,351 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:47,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=11.02, mean=-0.2444, std=2.746, absmax=11.39 +2025-11-04 13:45:47,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.57, mean=-0.2721, std=2.659, absmax=10.63 +2025-11-04 13:45:47,709 ERROR: Encountered non-finite generator loss at iter 24962; skipping update. +2025-11-04 13:45:47,710 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:47,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:47,711 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:47,712 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:47,712 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=13.82, mean=-0.1024, std=2.792, absmax=13.82 +2025-11-04 13:45:47,713 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.49, mean=-0.1372, std=2.602, absmax=12.49 +2025-11-04 13:45:48,069 ERROR: Encountered non-finite generator loss at iter 24963; skipping update. +2025-11-04 13:45:48,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,071 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,072 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:48,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.2, mean=-0.1477, std=3.176, absmax=13.62 +2025-11-04 13:45:48,073 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=10.7, mean=-0.1664, std=2.9, absmax=11.32 +2025-11-04 13:45:48,430 ERROR: Encountered non-finite generator loss at iter 24964; skipping update. +2025-11-04 13:45:48,431 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,432 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,432 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:48,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.96, max=17.26, mean=0.09655, std=3.378, absmax=17.26 +2025-11-04 13:45:48,433 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=13.11, mean=0.07015, std=3.029, absmax=13.11 +2025-11-04 13:45:48,790 ERROR: Encountered non-finite generator loss at iter 24965; skipping update. +2025-11-04 13:45:48,791 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,791 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:48,792 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:48,792 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=13.29, mean=-0.2702, std=2.768, absmax=13.29 +2025-11-04 13:45:48,793 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=10.97, mean=-0.2232, std=2.619, absmax=11.33 +2025-11-04 13:45:49,150 ERROR: Encountered non-finite generator loss at iter 24966; skipping update. +2025-11-04 13:45:49,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,151 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,152 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:49,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.93, mean=-0.06438, std=3.465, absmax=14.17 +2025-11-04 13:45:49,153 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=12.75, mean=-0.04072, std=3.16, absmax=13.26 +2025-11-04 13:45:49,510 ERROR: Encountered non-finite generator loss at iter 24967; skipping update. +2025-11-04 13:45:49,511 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,512 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:49,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=10.63, mean=-0.2435, std=2.939, absmax=12.57 +2025-11-04 13:45:49,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=9.996, mean=-0.232, std=2.713, absmax=11.53 +2025-11-04 13:45:49,870 ERROR: Encountered non-finite generator loss at iter 24968; skipping update. +2025-11-04 13:45:49,871 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,872 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:49,872 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:49,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=13.4, mean=-0.1181, std=3.144, absmax=13.49 +2025-11-04 13:45:49,873 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=11.95, mean=-0.1122, std=2.884, absmax=12.01 +2025-11-04 13:45:50,230 ERROR: Encountered non-finite generator loss at iter 24969; skipping update. +2025-11-04 13:45:50,231 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:50,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.47, max=13.15, mean=-0.4009, std=3.244, absmax=14.47 +2025-11-04 13:45:50,233 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=10.61, mean=-0.3795, std=2.979, absmax=12.45 +2025-11-04 13:45:50,590 ERROR: Encountered non-finite generator loss at iter 24970; skipping update. +2025-11-04 13:45:50,591 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,592 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,592 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:50,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.01, mean=-0.2212, std=3.171, absmax=12.01 +2025-11-04 13:45:50,593 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.36, max=11.34, mean=-0.1942, std=2.857, absmax=11.34 +2025-11-04 13:45:50,949 ERROR: Encountered non-finite generator loss at iter 24971; skipping update. +2025-11-04 13:45:50,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,951 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:50,952 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:50,952 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=10.76, mean=-0.1658, std=2.543, absmax=10.93 +2025-11-04 13:45:50,953 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=10.52, mean=-0.1282, std=2.36, absmax=10.52 +2025-11-04 13:45:51,309 ERROR: Encountered non-finite generator loss at iter 24972; skipping update. +2025-11-04 13:45:51,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:51,310 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:51,311 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:51,311 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:51,312 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.76, mean=0.04823, std=3.125, absmax=13.76 +2025-11-04 13:45:51,312 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.3, max=13.24, mean=0.04821, std=2.822, absmax=13.24 +2025-11-04 13:45:51,668 ERROR: Encountered non-finite generator loss at iter 24973; skipping update. +2025-11-04 13:45:51,669 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:51,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:51,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:51,671 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:51,671 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.8, max=13.17, mean=0.03464, std=3.257, absmax=16.8 +2025-11-04 13:45:51,672 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-17.43, max=12.59, mean=0.03842, std=2.993, absmax=17.43 +2025-11-04 13:45:52,028 ERROR: Encountered non-finite generator loss at iter 24974; skipping update. +2025-11-04 13:45:52,029 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,030 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,030 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,031 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:52,031 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.32, mean=-0.2189, std=2.475, absmax=12.32 +2025-11-04 13:45:52,032 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=10.2, mean=-0.1597, std=2.322, absmax=10.2 +2025-11-04 13:45:52,389 ERROR: Encountered non-finite generator loss at iter 24975; skipping update. +2025-11-04 13:45:52,389 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,391 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,391 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:52,392 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=12.91, mean=-0.082, std=2.662, absmax=12.91 +2025-11-04 13:45:52,392 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.425, max=10.74, mean=-0.09955, std=2.461, absmax=10.74 +2025-11-04 13:45:52,749 ERROR: Encountered non-finite generator loss at iter 24976; skipping update. +2025-11-04 13:45:52,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:52,751 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:52,752 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=11.59, mean=-0.2229, std=3.025, absmax=13.61 +2025-11-04 13:45:52,752 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=9.35, mean=-0.2246, std=2.748, absmax=11.55 +2025-11-04 13:45:53,109 ERROR: Encountered non-finite generator loss at iter 24977; skipping update. +2025-11-04 13:45:53,110 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,111 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,111 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:53,112 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=13.06, mean=-0.01976, std=3.26, absmax=13.06 +2025-11-04 13:45:53,113 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=11.92, mean=0.009663, std=3.081, absmax=13.05 +2025-11-04 13:45:53,469 ERROR: Encountered non-finite generator loss at iter 24978; skipping update. +2025-11-04 13:45:53,470 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,471 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,471 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,471 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:53,472 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.09, mean=-0.3561, std=2.919, absmax=12.74 +2025-11-04 13:45:53,473 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=11.19, mean=-0.3412, std=2.815, absmax=11.25 +2025-11-04 13:45:53,830 ERROR: Encountered non-finite generator loss at iter 24979; skipping update. +2025-11-04 13:45:53,831 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,831 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:53,832 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:53,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.56, mean=-0.277, std=3.095, absmax=14.56 +2025-11-04 13:45:53,833 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.1, mean=-0.2651, std=2.744, absmax=12.1 +2025-11-04 13:45:54,190 ERROR: Encountered non-finite generator loss at iter 24980; skipping update. +2025-11-04 13:45:54,191 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,192 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,192 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:54,193 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=16.05, mean=-0.04839, std=2.704, absmax=16.05 +2025-11-04 13:45:54,193 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=13.27, mean=0.01202, std=2.612, absmax=13.27 +2025-11-04 13:45:54,550 ERROR: Encountered non-finite generator loss at iter 24981; skipping update. +2025-11-04 13:45:54,551 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,553 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:54,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=13.54, mean=-0.3053, std=3.049, absmax=13.54 +2025-11-04 13:45:54,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=10.84, mean=-0.2752, std=2.781, absmax=12.95 +2025-11-04 13:45:54,910 ERROR: Encountered non-finite generator loss at iter 24982; skipping update. +2025-11-04 13:45:54,911 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:54,913 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:54,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=14.84, mean=-0.1547, std=2.818, absmax=14.84 +2025-11-04 13:45:54,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=15.1, mean=-0.1485, std=2.673, absmax=15.1 +2025-11-04 13:45:55,270 ERROR: Encountered non-finite generator loss at iter 24983; skipping update. +2025-11-04 13:45:55,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,272 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:55,273 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.28, max=13.2, mean=0.04098, std=2.89, absmax=15.28 +2025-11-04 13:45:55,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.73, mean=0.06785, std=2.876, absmax=11.96 +2025-11-04 13:45:55,630 ERROR: Encountered non-finite generator loss at iter 24984; skipping update. +2025-11-04 13:45:55,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:55,633 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=13.12, mean=-0.03609, std=2.984, absmax=13.91 +2025-11-04 13:45:55,634 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.17, mean=-0.02215, std=2.763, absmax=12.17 +2025-11-04 13:45:55,990 ERROR: Encountered non-finite generator loss at iter 24985; skipping update. +2025-11-04 13:45:55,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,992 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:55,992 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:55,993 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.36, mean=-0.2269, std=2.773, absmax=12.36 +2025-11-04 13:45:55,993 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=11.51, mean=-0.2029, std=2.651, absmax=11.51 +2025-11-04 13:45:56,350 ERROR: Encountered non-finite generator loss at iter 24986; skipping update. +2025-11-04 13:45:56,351 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:56,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:56,352 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:56,352 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:56,353 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=14.51, mean=-0.2067, std=3.021, absmax=14.51 +2025-11-04 13:45:56,353 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.85, max=12.75, mean=-0.2225, std=2.8, absmax=12.75 +2025-11-04 13:45:56,710 ERROR: Encountered non-finite generator loss at iter 24987; skipping update. +2025-11-04 13:45:56,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:56,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:56,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:56,712 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:56,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=14.44, mean=-0.1915, std=3.201, absmax=14.58 +2025-11-04 13:45:56,713 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=13.29, mean=-0.1586, std=2.929, absmax=13.29 +2025-11-04 13:45:57,070 ERROR: Encountered non-finite generator loss at iter 24988; skipping update. +2025-11-04 13:45:57,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,071 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,072 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:57,072 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=14.57, mean=-0.3519, std=3.12, absmax=14.57 +2025-11-04 13:45:57,073 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=11.2, mean=-0.297, std=2.942, absmax=11.31 +2025-11-04 13:45:57,430 ERROR: Encountered non-finite generator loss at iter 24989; skipping update. +2025-11-04 13:45:57,431 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,432 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:57,433 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=12.32, mean=-0.1992, std=3.095, absmax=14.12 +2025-11-04 13:45:57,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.26, max=11.12, mean=-0.1908, std=2.901, absmax=14.26 +2025-11-04 13:45:57,790 ERROR: Encountered non-finite generator loss at iter 24990; skipping update. +2025-11-04 13:45:57,791 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,792 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:57,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:57,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.88, mean=-0.1937, std=2.708, absmax=13.14 +2025-11-04 13:45:57,794 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=11.44, mean=-0.1723, std=2.489, absmax=13.46 +2025-11-04 13:45:58,150 ERROR: Encountered non-finite generator loss at iter 24991; skipping update. +2025-11-04 13:45:58,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,153 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:58,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=15.65, mean=-0.3026, std=3.391, absmax=15.65 +2025-11-04 13:45:58,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=13.07, mean=-0.2649, std=3.106, absmax=13.07 +2025-11-04 13:45:58,510 ERROR: Encountered non-finite generator loss at iter 24992; skipping update. +2025-11-04 13:45:58,512 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,512 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,512 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,513 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:58,513 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.31, max=11.49, mean=-0.01771, std=2.709, absmax=11.49 +2025-11-04 13:45:58,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.96, mean=-0.03772, std=2.582, absmax=11.31 +2025-11-04 13:45:58,870 ERROR: Encountered non-finite generator loss at iter 24993; skipping update. +2025-11-04 13:45:58,871 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,872 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,872 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:58,872 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:58,873 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=10.94, mean=-0.1553, std=2.482, absmax=11.71 +2025-11-04 13:45:58,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.72, max=8.927, mean=-0.1765, std=2.345, absmax=10.72 +2025-11-04 13:45:59,230 ERROR: Encountered non-finite generator loss at iter 24994; skipping update. +2025-11-04 13:45:59,231 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,232 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:59,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=11.32, mean=-0.002999, std=2.801, absmax=13.18 +2025-11-04 13:45:59,234 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=9.749, mean=-0.03926, std=2.585, absmax=10.27 +2025-11-04 13:45:59,590 ERROR: Encountered non-finite generator loss at iter 24995; skipping update. +2025-11-04 13:45:59,591 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,592 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:59,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=14.29, mean=-0.1926, std=3.04, absmax=14.29 +2025-11-04 13:45:59,594 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.95, max=12.23, mean=-0.1601, std=2.823, absmax=12.95 +2025-11-04 13:45:59,951 ERROR: Encountered non-finite generator loss at iter 24996; skipping update. +2025-11-04 13:45:59,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:45:59,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:45:59,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=12.99, mean=0.002284, std=3.265, absmax=14.35 +2025-11-04 13:45:59,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=12.1, mean=-0.006388, std=2.924, absmax=12.67 +2025-11-04 13:46:00,311 ERROR: Encountered non-finite generator loss at iter 24997; skipping update. +2025-11-04 13:46:00,312 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:00,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:00,313 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:46:00,313 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:46:00,314 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.69, mean=0.1086, std=3.955, absmax=14.69 +2025-11-04 13:46:00,314 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=13.44, mean=0.1194, std=3.557, absmax=13.44 +2025-11-04 13:46:00,671 ERROR: Encountered non-finite generator loss at iter 24998; skipping update. +2025-11-04 13:46:00,672 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:00,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:00,673 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:46:00,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:46:00,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.36, max=13.65, mean=-0.1789, std=3.205, absmax=13.65 +2025-11-04 13:46:00,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.53, mean=-0.1612, std=2.934, absmax=12.97 +2025-11-04 13:46:01,032 ERROR: Encountered non-finite generator loss at iter 24999; skipping update. +2025-11-04 13:46:01,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:01,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:01,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:46:01,034 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:46:01,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.81, max=15.07, mean=-0.1917, std=3.267, absmax=15.07 +2025-11-04 13:46:01,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=13.24, mean=-0.2069, std=2.99, absmax=13.24 +2025-11-04 13:46:01,392 ERROR: Encountered non-finite generator loss at iter 25000; skipping update. +2025-11-04 13:46:01,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:01,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:46:01,394 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:46:01,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:46:01,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=14.1, mean=-0.1641, std=3.089, absmax=14.1 +2025-11-04 13:46:01,395 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=12.5, mean=-0.1229, std=2.833, absmax=12.5 +2025-11-04 13:46:01,396 INFO: [38..][epoch: 0, step: 25,000, lr:(2.000e-04,)] [eta: 1 day, 3:07:05, time (data): 0.360 (0.000)] +2025-11-04 13:46:01,396 INFO: Saving models and training states. +2025-11-04 13:48:32,587 INFO: Validation val_x2 + # l1_latent: nan Best: 1.4251 @ 10000 iter + # pixel_psnr_pt: nan Best: 32.4304 @ 15000 iter + +2025-11-04 13:50:43,819 INFO: Validation val_x4 + # l1_latent: nan Best: 1.5704 @ 10000 iter + # l2_latent: nan Best: 3.9360 @ 10000 iter + # pixel_psnr_pt: nan Best: 27.8913 @ 15000 iter + +2025-11-04 13:50:44,179 ERROR: Encountered non-finite generator loss at iter 25001; skipping update. +2025-11-04 13:50:44,180 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,181 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,181 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:44,182 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=14.67, mean=0.0421, std=3.168, absmax=14.67 +2025-11-04 13:50:44,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=10.96, mean=0.06003, std=2.913, absmax=11.98 +2025-11-04 13:50:44,539 ERROR: Encountered non-finite generator loss at iter 25002; skipping update. +2025-11-04 13:50:44,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,541 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:44,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.48, max=13.47, mean=-0.2936, std=3.184, absmax=13.48 +2025-11-04 13:50:44,543 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=11.61, mean=-0.2823, std=2.9, absmax=12.15 +2025-11-04 13:50:44,899 ERROR: Encountered non-finite generator loss at iter 25003; skipping update. +2025-11-04 13:50:44,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:44,901 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:44,901 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.35, max=13.38, mean=-0.1207, std=2.849, absmax=13.38 +2025-11-04 13:50:44,902 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=11.8, mean=-0.1295, std=2.702, absmax=11.8 +2025-11-04 13:50:45,258 ERROR: Encountered non-finite generator loss at iter 25004; skipping update. +2025-11-04 13:50:45,259 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,259 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,260 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,260 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:45,261 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.96, max=11.99, mean=-0.308, std=3.462, absmax=14.96 +2025-11-04 13:50:45,261 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.28, max=11.01, mean=-0.2778, std=3.174, absmax=13.28 +2025-11-04 13:50:45,618 ERROR: Encountered non-finite generator loss at iter 25005; skipping update. +2025-11-04 13:50:45,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:45,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.59, mean=-0.2356, std=3.186, absmax=13.59 +2025-11-04 13:50:45,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=13.98, mean=-0.2343, std=3.015, absmax=13.98 +2025-11-04 13:50:45,978 ERROR: Encountered non-finite generator loss at iter 25006; skipping update. +2025-11-04 13:50:45,978 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,979 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,979 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:45,980 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:45,980 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=11.57, mean=-0.01745, std=2.892, absmax=13.04 +2025-11-04 13:50:45,981 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.37, mean=-0.01646, std=2.707, absmax=10.67 +2025-11-04 13:50:46,337 ERROR: Encountered non-finite generator loss at iter 25007; skipping update. +2025-11-04 13:50:46,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:46,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:46,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:46,339 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:46,340 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.72, mean=-0.2124, std=2.715, absmax=12.72 +2025-11-04 13:50:46,340 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=10.49, mean=-0.1814, std=2.516, absmax=11.65 +2025-11-04 13:50:46,697 ERROR: Encountered non-finite generator loss at iter 25008; skipping update. +2025-11-04 13:50:46,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:46,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:46,698 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:46,699 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:46,699 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.28, mean=0.1172, std=3.38, absmax=13.28 +2025-11-04 13:50:46,700 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=13.7, mean=0.09471, std=3.144, absmax=13.7 +2025-11-04 13:50:47,056 ERROR: Encountered non-finite generator loss at iter 25009; skipping update. +2025-11-04 13:50:47,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,058 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:47,059 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.95, max=10.59, mean=-0.3064, std=2.734, absmax=11.95 +2025-11-04 13:50:47,060 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=9.622, mean=-0.2833, std=2.503, absmax=10.63 +2025-11-04 13:50:47,416 ERROR: Encountered non-finite generator loss at iter 25010; skipping update. +2025-11-04 13:50:47,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,418 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:47,418 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=11.72, mean=-0.2304, std=3.389, absmax=13.75 +2025-11-04 13:50:47,419 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=10.76, mean=-0.1905, std=3.156, absmax=11.81 +2025-11-04 13:50:47,775 ERROR: Encountered non-finite generator loss at iter 25011; skipping update. +2025-11-04 13:50:47,776 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:47,778 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:47,778 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.84, max=13.55, mean=-0.4133, std=3.318, absmax=15.84 +2025-11-04 13:50:47,779 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.88, max=12.77, mean=-0.4172, std=3.058, absmax=14.88 +2025-11-04 13:50:48,135 ERROR: Encountered non-finite generator loss at iter 25012; skipping update. +2025-11-04 13:50:48,136 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,137 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,137 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,138 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:48,138 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.36, max=11.6, mean=-0.00527, std=3.118, absmax=11.6 +2025-11-04 13:50:48,139 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.42, mean=-0.015, std=2.876, absmax=10.74 +2025-11-04 13:50:48,495 ERROR: Encountered non-finite generator loss at iter 25013; skipping update. +2025-11-04 13:50:48,496 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,496 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,497 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,497 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:48,498 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.33, mean=-0.09845, std=2.907, absmax=13.33 +2025-11-04 13:50:48,498 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=12.45, mean=-0.0991, std=2.594, absmax=12.45 +2025-11-04 13:50:48,855 ERROR: Encountered non-finite generator loss at iter 25014; skipping update. +2025-11-04 13:50:48,856 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,857 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:48,857 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:48,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.39, max=16.31, mean=-0.247, std=3.21, absmax=16.31 +2025-11-04 13:50:48,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.85, max=14.02, mean=-0.2204, std=2.879, absmax=14.02 +2025-11-04 13:50:49,215 ERROR: Encountered non-finite generator loss at iter 25015; skipping update. +2025-11-04 13:50:49,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,217 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,217 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,217 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:49,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.21, max=11.78, mean=-0.1513, std=2.973, absmax=15.21 +2025-11-04 13:50:49,219 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.29, max=10.27, mean=-0.1199, std=2.77, absmax=13.29 +2025-11-04 13:50:49,576 ERROR: Encountered non-finite generator loss at iter 25016; skipping update. +2025-11-04 13:50:49,577 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:49,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=11.75, mean=-0.2077, std=3.026, absmax=12.47 +2025-11-04 13:50:49,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.44, mean=-0.1669, std=2.897, absmax=12.02 +2025-11-04 13:50:49,936 ERROR: Encountered non-finite generator loss at iter 25017; skipping update. +2025-11-04 13:50:49,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:49,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:49,938 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=11.85, mean=-0.1995, std=2.981, absmax=13.08 +2025-11-04 13:50:49,939 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.57, mean=-0.13, std=2.802, absmax=11.96 +2025-11-04 13:50:50,295 ERROR: Encountered non-finite generator loss at iter 25018; skipping update. +2025-11-04 13:50:50,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:50,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:50,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:50,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:50,298 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.68, mean=-0.03908, std=3.451, absmax=14.68 +2025-11-04 13:50:50,299 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=12.75, mean=-0.06813, std=3.204, absmax=12.75 +2025-11-04 13:50:50,656 ERROR: Encountered non-finite generator loss at iter 25019; skipping update. +2025-11-04 13:50:50,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:50,657 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:50,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:50,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:50,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.88, max=13.73, mean=-0.2007, std=2.728, absmax=18.88 +2025-11-04 13:50:50,659 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=12.21, mean=-0.2002, std=2.541, absmax=12.84 +2025-11-04 13:50:51,016 ERROR: Encountered non-finite generator loss at iter 25020; skipping update. +2025-11-04 13:50:51,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:51,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=13.35, mean=-0.2583, std=3.198, absmax=13.35 +2025-11-04 13:50:51,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.49, mean=-0.2699, std=2.905, absmax=11.49 +2025-11-04 13:50:51,376 ERROR: Encountered non-finite generator loss at iter 25021; skipping update. +2025-11-04 13:50:51,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:51,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=13.37, mean=-0.2188, std=2.888, absmax=13.68 +2025-11-04 13:50:51,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=12.25, mean=-0.235, std=2.738, absmax=12.33 +2025-11-04 13:50:51,735 ERROR: Encountered non-finite generator loss at iter 25022; skipping update. +2025-11-04 13:50:51,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:51,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:51,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.13, max=17.27, mean=-0.1854, std=3.428, absmax=17.27 +2025-11-04 13:50:51,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=15.4, mean=-0.2347, std=3.31, absmax=15.4 +2025-11-04 13:50:52,095 ERROR: Encountered non-finite generator loss at iter 25023; skipping update. +2025-11-04 13:50:52,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:52,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=12.56, mean=-0.1203, std=2.701, absmax=12.56 +2025-11-04 13:50:52,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=11.58, mean=-0.08958, std=2.532, absmax=11.58 +2025-11-04 13:50:52,456 ERROR: Encountered non-finite generator loss at iter 25024; skipping update. +2025-11-04 13:50:52,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:52,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=11.86, mean=-0.09019, std=2.514, absmax=13.17 +2025-11-04 13:50:52,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=11.01, mean=-0.07033, std=2.384, absmax=11.01 +2025-11-04 13:50:52,823 ERROR: Encountered non-finite generator loss at iter 25025; skipping update. +2025-11-04 13:50:52,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:52,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:52,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.21, max=15.24, mean=0.0194, std=3.138, absmax=15.24 +2025-11-04 13:50:52,828 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=14.4, mean=0.00391, std=2.863, absmax=14.4 +2025-11-04 13:50:53,191 ERROR: Encountered non-finite generator loss at iter 25026; skipping update. +2025-11-04 13:50:53,192 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,192 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,193 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,193 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:53,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.88, max=13.06, mean=0.04848, std=3.304, absmax=14.88 +2025-11-04 13:50:53,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=10.87, mean=0.05672, std=3.02, absmax=12.65 +2025-11-04 13:50:53,552 ERROR: Encountered non-finite generator loss at iter 25027; skipping update. +2025-11-04 13:50:53,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:53,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.78, max=12.53, mean=-0.1471, std=3.115, absmax=15.78 +2025-11-04 13:50:53,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=11.85, mean=-0.1362, std=2.81, absmax=12.37 +2025-11-04 13:50:53,913 ERROR: Encountered non-finite generator loss at iter 25028; skipping update. +2025-11-04 13:50:53,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:53,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:53,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=13.69, mean=-0.3198, std=2.898, absmax=13.86 +2025-11-04 13:50:53,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.13, mean=-0.2919, std=2.759, absmax=12.22 +2025-11-04 13:50:54,273 ERROR: Encountered non-finite generator loss at iter 25029; skipping update. +2025-11-04 13:50:54,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,276 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:54,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=13.31, mean=-0.3393, std=2.916, absmax=13.31 +2025-11-04 13:50:54,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.02, max=9.515, mean=-0.2887, std=2.809, absmax=11.02 +2025-11-04 13:50:54,634 ERROR: Encountered non-finite generator loss at iter 25030; skipping update. +2025-11-04 13:50:54,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:54,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=10.72, mean=-0.2806, std=2.965, absmax=12.93 +2025-11-04 13:50:54,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=9.84, mean=-0.2513, std=2.769, absmax=11.43 +2025-11-04 13:50:54,995 ERROR: Encountered non-finite generator loss at iter 25031; skipping update. +2025-11-04 13:50:54,996 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,997 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:54,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:54,998 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.07, mean=-0.2646, std=2.818, absmax=11.99 +2025-11-04 13:50:54,999 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=11.05, mean=-0.2143, std=2.65, absmax=11.13 +2025-11-04 13:50:55,356 ERROR: Encountered non-finite generator loss at iter 25032; skipping update. +2025-11-04 13:50:55,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:55,358 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:55,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:55,359 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:55,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=13.38, mean=-0.04671, std=2.595, absmax=13.38 +2025-11-04 13:50:55,360 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=13.87, mean=-0.08988, std=2.466, absmax=13.87 +2025-11-04 13:50:55,718 ERROR: Encountered non-finite generator loss at iter 25033; skipping update. +2025-11-04 13:50:55,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:55,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:55,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:55,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:55,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.44, max=11.25, mean=-0.4091, std=3.789, absmax=15.44 +2025-11-04 13:50:55,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.17, max=9.926, mean=-0.389, std=3.58, absmax=14.17 +2025-11-04 13:50:56,078 ERROR: Encountered non-finite generator loss at iter 25034; skipping update. +2025-11-04 13:50:56,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,080 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,080 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,081 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:56,081 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.38, max=11.57, mean=-0.1316, std=2.759, absmax=13.38 +2025-11-04 13:50:56,082 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=9.823, mean=-0.07686, std=2.654, absmax=12.77 +2025-11-04 13:50:56,439 ERROR: Encountered non-finite generator loss at iter 25035; skipping update. +2025-11-04 13:50:56,440 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,441 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:56,442 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.96, max=12.01, mean=-0.279, std=3.304, absmax=16.96 +2025-11-04 13:50:56,442 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.18, max=10.7, mean=-0.3037, std=3.059, absmax=14.18 +2025-11-04 13:50:56,800 ERROR: Encountered non-finite generator loss at iter 25036; skipping update. +2025-11-04 13:50:56,801 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,801 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,802 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:56,802 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:56,803 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=13.99, mean=-0.1318, std=3.776, absmax=13.99 +2025-11-04 13:50:56,803 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=13.45, mean=-0.1656, std=3.504, absmax=13.45 +2025-11-04 13:50:57,161 ERROR: Encountered non-finite generator loss at iter 25037; skipping update. +2025-11-04 13:50:57,162 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,163 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,164 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:57,164 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=11.82, mean=-0.0713, std=3.117, absmax=12.69 +2025-11-04 13:50:57,165 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.08, mean=-0.06129, std=2.899, absmax=11.08 +2025-11-04 13:50:57,522 ERROR: Encountered non-finite generator loss at iter 25038; skipping update. +2025-11-04 13:50:57,523 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,523 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,523 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:57,524 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=13.02, mean=-0.1429, std=2.917, absmax=13.02 +2025-11-04 13:50:57,524 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.95, mean=-0.1409, std=2.783, absmax=11.91 +2025-11-04 13:50:57,881 ERROR: Encountered non-finite generator loss at iter 25039; skipping update. +2025-11-04 13:50:57,882 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,883 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:57,883 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:57,884 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=12.16, mean=-0.3006, std=2.828, absmax=12.55 +2025-11-04 13:50:57,885 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=10.72, mean=-0.2805, std=2.64, absmax=11.43 +2025-11-04 13:50:58,241 ERROR: Encountered non-finite generator loss at iter 25040; skipping update. +2025-11-04 13:50:58,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,244 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:58,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.87, mean=-0.09366, std=2.616, absmax=12.87 +2025-11-04 13:50:58,245 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.09, max=11.59, mean=-0.07528, std=2.418, absmax=11.59 +2025-11-04 13:50:58,602 ERROR: Encountered non-finite generator loss at iter 25041; skipping update. +2025-11-04 13:50:58,603 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,604 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,604 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,604 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:58,605 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.58, max=12.19, mean=-0.2361, std=2.718, absmax=14.58 +2025-11-04 13:50:58,606 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.75, max=11.98, mean=-0.2537, std=2.522, absmax=11.98 +2025-11-04 13:50:58,963 ERROR: Encountered non-finite generator loss at iter 25042; skipping update. +2025-11-04 13:50:58,964 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:58,965 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:58,966 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=11.19, mean=-0.2587, std=2.433, absmax=11.64 +2025-11-04 13:50:58,966 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.451, max=11.41, mean=-0.2224, std=2.32, absmax=11.41 +2025-11-04 13:50:59,324 ERROR: Encountered non-finite generator loss at iter 25043; skipping update. +2025-11-04 13:50:59,325 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:59,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:59,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:59,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:59,326 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=15.04, mean=-0.1449, std=3.382, absmax=15.04 +2025-11-04 13:50:59,327 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=13.05, mean=-0.1074, std=3.031, absmax=13.05 +2025-11-04 13:50:59,684 ERROR: Encountered non-finite generator loss at iter 25044; skipping update. +2025-11-04 13:50:59,685 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:59,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:50:59,686 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:50:59,686 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:50:59,687 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=14.98, mean=-0.1584, std=3.633, absmax=14.98 +2025-11-04 13:50:59,687 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=14.12, mean=-0.1797, std=3.425, absmax=14.12 +2025-11-04 13:51:00,044 ERROR: Encountered non-finite generator loss at iter 25045; skipping update. +2025-11-04 13:51:00,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,046 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,047 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:00,048 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.35, mean=-0.2132, std=3.226, absmax=12.85 +2025-11-04 13:51:00,048 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=11.2, mean=-0.1726, std=2.987, absmax=11.51 +2025-11-04 13:51:00,406 ERROR: Encountered non-finite generator loss at iter 25046; skipping update. +2025-11-04 13:51:00,407 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,408 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,408 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:00,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=16.83, mean=0.1135, std=3.357, absmax=16.83 +2025-11-04 13:51:00,409 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=15.56, mean=0.1347, std=3.147, absmax=15.56 +2025-11-04 13:51:00,766 ERROR: Encountered non-finite generator loss at iter 25047; skipping update. +2025-11-04 13:51:00,767 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:00,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:00,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.39, max=15.96, mean=-0.05369, std=3.811, absmax=15.96 +2025-11-04 13:51:00,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=15.28, mean=-0.02576, std=3.639, absmax=15.28 +2025-11-04 13:51:01,127 ERROR: Encountered non-finite generator loss at iter 25048; skipping update. +2025-11-04 13:51:01,128 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,129 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,130 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:01,130 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=12.48, mean=-0.2291, std=3.038, absmax=13.8 +2025-11-04 13:51:01,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=10.46, mean=-0.2071, std=2.733, absmax=12.66 +2025-11-04 13:51:01,488 ERROR: Encountered non-finite generator loss at iter 25049; skipping update. +2025-11-04 13:51:01,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:01,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=12.19, mean=-0.04304, std=2.718, absmax=14.23 +2025-11-04 13:51:01,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=11.43, mean=-0.006706, std=2.568, absmax=12.6 +2025-11-04 13:51:01,850 ERROR: Encountered non-finite generator loss at iter 25050; skipping update. +2025-11-04 13:51:01,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:01,852 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:01,852 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=13.77, mean=0.1139, std=3.327, absmax=13.77 +2025-11-04 13:51:01,853 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=13.68, mean=0.1534, std=3.162, absmax=13.68 +2025-11-04 13:51:02,210 ERROR: Encountered non-finite generator loss at iter 25051; skipping update. +2025-11-04 13:51:02,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,212 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:02,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.63, mean=-0.1966, std=2.94, absmax=13.63 +2025-11-04 13:51:02,214 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=12.63, mean=-0.1632, std=2.773, absmax=12.63 +2025-11-04 13:51:02,571 ERROR: Encountered non-finite generator loss at iter 25052; skipping update. +2025-11-04 13:51:02,572 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,573 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,573 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:02,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.45, max=13.42, mean=-0.1359, std=2.989, absmax=13.45 +2025-11-04 13:51:02,575 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=10.52, mean=-0.1332, std=2.636, absmax=12.14 +2025-11-04 13:51:02,932 ERROR: Encountered non-finite generator loss at iter 25053; skipping update. +2025-11-04 13:51:02,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:02,934 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:02,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=10.88, mean=-0.1954, std=2.675, absmax=12.24 +2025-11-04 13:51:02,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=9.829, mean=-0.1701, std=2.542, absmax=11.46 +2025-11-04 13:51:03,291 ERROR: Encountered non-finite generator loss at iter 25054; skipping update. +2025-11-04 13:51:03,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:03,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:03,293 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:03,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:03,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=10.23, mean=-0.367, std=2.797, absmax=12.34 +2025-11-04 13:51:03,295 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=8.826, mean=-0.3691, std=2.714, absmax=10.68 +2025-11-04 13:51:03,652 ERROR: Encountered non-finite generator loss at iter 25055; skipping update. +2025-11-04 13:51:03,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:03,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:03,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:03,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:03,654 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=16.4, mean=-0.3395, std=3.535, absmax=16.4 +2025-11-04 13:51:03,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.94, max=11.86, mean=-0.3295, std=3.345, absmax=14.94 +2025-11-04 13:51:04,012 ERROR: Encountered non-finite generator loss at iter 25056; skipping update. +2025-11-04 13:51:04,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,013 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:04,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.14, mean=0.2033, std=3.939, absmax=14.14 +2025-11-04 13:51:04,015 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=14.17, mean=0.2027, std=3.8, absmax=14.17 +2025-11-04 13:51:04,372 ERROR: Encountered non-finite generator loss at iter 25057; skipping update. +2025-11-04 13:51:04,374 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:04,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.74, max=13.91, mean=-0.09171, std=3.06, absmax=16.74 +2025-11-04 13:51:04,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.65, max=12.52, mean=-0.07231, std=2.813, absmax=15.65 +2025-11-04 13:51:04,738 ERROR: Encountered non-finite generator loss at iter 25058; skipping update. +2025-11-04 13:51:04,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:04,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:04,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=13.47, mean=-0.2484, std=2.748, absmax=13.47 +2025-11-04 13:51:04,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=12.16, mean=-0.2221, std=2.568, absmax=12.34 +2025-11-04 13:51:05,099 ERROR: Encountered non-finite generator loss at iter 25059; skipping update. +2025-11-04 13:51:05,100 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,101 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:05,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=13.53, mean=0.08286, std=3.303, absmax=13.53 +2025-11-04 13:51:05,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=13.1, mean=0.1018, std=3.075, absmax=13.1 +2025-11-04 13:51:05,459 ERROR: Encountered non-finite generator loss at iter 25060; skipping update. +2025-11-04 13:51:05,460 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,461 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,461 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:05,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.98, mean=-0.1868, std=2.535, absmax=13.1 +2025-11-04 13:51:05,463 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=11.12, mean=-0.1224, std=2.466, absmax=12.56 +2025-11-04 13:51:05,820 ERROR: Encountered non-finite generator loss at iter 25061; skipping update. +2025-11-04 13:51:05,821 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,822 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:05,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:05,823 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=12.38, mean=-0.09403, std=2.611, absmax=12.38 +2025-11-04 13:51:05,824 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.839, max=11.06, mean=-0.07105, std=2.522, absmax=11.06 +2025-11-04 13:51:06,181 ERROR: Encountered non-finite generator loss at iter 25062; skipping update. +2025-11-04 13:51:06,182 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,182 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,182 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,183 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:06,184 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.94, mean=0.00812, std=3.4, absmax=12.94 +2025-11-04 13:51:06,184 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=10.9, mean=0.02405, std=3.137, absmax=11.31 +2025-11-04 13:51:06,542 ERROR: Encountered non-finite generator loss at iter 25063; skipping update. +2025-11-04 13:51:06,542 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,543 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,544 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:06,544 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=13.49, mean=-0.1756, std=2.983, absmax=13.69 +2025-11-04 13:51:06,545 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.74, mean=-0.2047, std=2.839, absmax=11.26 +2025-11-04 13:51:06,902 ERROR: Encountered non-finite generator loss at iter 25064; skipping update. +2025-11-04 13:51:06,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:06,905 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:06,905 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=14.98, mean=-0.2706, std=2.974, absmax=14.98 +2025-11-04 13:51:06,906 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=11.67, mean=-0.2149, std=2.701, absmax=11.67 +2025-11-04 13:51:07,263 ERROR: Encountered non-finite generator loss at iter 25065; skipping update. +2025-11-04 13:51:07,264 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,265 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,265 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,265 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:07,266 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=12.75, mean=0.0356, std=2.984, absmax=12.85 +2025-11-04 13:51:07,266 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.29, max=11.13, mean=0.04864, std=2.71, absmax=11.29 +2025-11-04 13:51:07,624 ERROR: Encountered non-finite generator loss at iter 25066; skipping update. +2025-11-04 13:51:07,625 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,626 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,626 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:07,627 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=13.15, mean=-0.3033, std=3.222, absmax=13.15 +2025-11-04 13:51:07,628 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=12.37, mean=-0.2756, std=2.949, absmax=12.84 +2025-11-04 13:51:07,985 ERROR: Encountered non-finite generator loss at iter 25067; skipping update. +2025-11-04 13:51:07,986 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,987 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:07,988 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:07,988 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=12.19, mean=-0.08722, std=2.872, absmax=13.1 +2025-11-04 13:51:07,989 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=14.44, mean=-0.02104, std=2.803, absmax=14.44 +2025-11-04 13:51:08,346 ERROR: Encountered non-finite generator loss at iter 25068; skipping update. +2025-11-04 13:51:08,347 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:08,348 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:08,348 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:08,349 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:08,349 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=13.4, mean=-0.1842, std=2.982, absmax=13.4 +2025-11-04 13:51:08,350 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=11.93, mean=-0.1644, std=2.708, absmax=11.93 +2025-11-04 13:51:08,708 ERROR: Encountered non-finite generator loss at iter 25069; skipping update. +2025-11-04 13:51:08,709 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:08,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:08,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:08,710 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:08,711 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=14.12, mean=-0.1969, std=2.981, absmax=14.12 +2025-11-04 13:51:08,711 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.83, mean=-0.1428, std=2.787, absmax=12.83 +2025-11-04 13:51:09,068 ERROR: Encountered non-finite generator loss at iter 25070; skipping update. +2025-11-04 13:51:09,069 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,070 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,070 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:09,071 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=14.14, mean=-0.1238, std=2.922, absmax=14.14 +2025-11-04 13:51:09,072 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=11.92, mean=-0.0917, std=2.713, absmax=12.2 +2025-11-04 13:51:09,429 ERROR: Encountered non-finite generator loss at iter 25071; skipping update. +2025-11-04 13:51:09,430 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,431 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,431 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:09,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.7, mean=-0.2549, std=2.705, absmax=14.34 +2025-11-04 13:51:09,432 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.97, max=11.44, mean=-0.254, std=2.518, absmax=13.97 +2025-11-04 13:51:09,790 ERROR: Encountered non-finite generator loss at iter 25072; skipping update. +2025-11-04 13:51:09,791 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,791 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,792 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:09,792 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:09,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.06, mean=-0.2142, std=2.907, absmax=12.91 +2025-11-04 13:51:09,793 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=9.424, mean=-0.2543, std=2.74, absmax=12.35 +2025-11-04 13:51:10,150 ERROR: Encountered non-finite generator loss at iter 25073; skipping update. +2025-11-04 13:51:10,151 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,152 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,153 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:10,153 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=10.9, mean=-0.06969, std=2.618, absmax=11.24 +2025-11-04 13:51:10,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.754, max=10.93, mean=-0.01821, std=2.473, absmax=10.93 +2025-11-04 13:51:10,512 ERROR: Encountered non-finite generator loss at iter 25074; skipping update. +2025-11-04 13:51:10,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:10,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=14.12, mean=-0.1296, std=3.112, absmax=14.12 +2025-11-04 13:51:10,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=13.04, mean=-0.111, std=2.899, absmax=13.04 +2025-11-04 13:51:10,872 ERROR: Encountered non-finite generator loss at iter 25075; skipping update. +2025-11-04 13:51:10,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:10,874 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:10,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.66, mean=-0.02156, std=2.793, absmax=12.66 +2025-11-04 13:51:10,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=11.29, mean=-0.02308, std=2.611, absmax=11.52 +2025-11-04 13:51:11,233 ERROR: Encountered non-finite generator loss at iter 25076; skipping update. +2025-11-04 13:51:11,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:11,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=13.04, mean=0.05512, std=3.432, absmax=13.04 +2025-11-04 13:51:11,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.49, max=12.16, mean=0.05405, std=3.262, absmax=13.49 +2025-11-04 13:51:11,594 ERROR: Encountered non-finite generator loss at iter 25077; skipping update. +2025-11-04 13:51:11,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:11,599 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=13.04, mean=-0.1563, std=2.923, absmax=13.41 +2025-11-04 13:51:11,600 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.78, mean=-0.1685, std=2.726, absmax=12.12 +2025-11-04 13:51:11,960 ERROR: Encountered non-finite generator loss at iter 25078; skipping update. +2025-11-04 13:51:11,961 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,962 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:11,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:11,963 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.61, mean=-0.2708, std=2.57, absmax=13.61 +2025-11-04 13:51:11,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.6, mean=-0.268, std=2.441, absmax=12.6 +2025-11-04 13:51:12,323 ERROR: Encountered non-finite generator loss at iter 25079; skipping update. +2025-11-04 13:51:12,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:12,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:12,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:12,326 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:12,327 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=12.7, mean=-0.1708, std=2.984, absmax=12.7 +2025-11-04 13:51:12,328 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=11.36, mean=-0.1448, std=2.805, absmax=11.36 +2025-11-04 13:51:12,686 ERROR: Encountered non-finite generator loss at iter 25080; skipping update. +2025-11-04 13:51:12,687 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:12,688 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:12,688 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:12,688 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:12,689 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.16, mean=-0.2372, std=3.256, absmax=14.16 +2025-11-04 13:51:12,690 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=12.79, mean=-0.2293, std=2.958, absmax=12.79 +2025-11-04 13:51:13,048 ERROR: Encountered non-finite generator loss at iter 25081; skipping update. +2025-11-04 13:51:13,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,050 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:13,051 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=12.6, mean=-0.3239, std=2.745, absmax=14.18 +2025-11-04 13:51:13,052 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=10.06, mean=-0.314, std=2.468, absmax=11.84 +2025-11-04 13:51:13,410 ERROR: Encountered non-finite generator loss at iter 25082; skipping update. +2025-11-04 13:51:13,411 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,411 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,412 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:13,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=16.73, mean=-0.2689, std=2.727, absmax=16.73 +2025-11-04 13:51:13,413 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=13.53, mean=-0.2628, std=2.531, absmax=13.53 +2025-11-04 13:51:13,770 ERROR: Encountered non-finite generator loss at iter 25083; skipping update. +2025-11-04 13:51:13,771 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,772 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:13,772 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:13,773 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.15, max=11.68, mean=-0.2874, std=2.421, absmax=11.68 +2025-11-04 13:51:13,773 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=9.952, mean=-0.2425, std=2.277, absmax=10.85 +2025-11-04 13:51:14,131 ERROR: Encountered non-finite generator loss at iter 25084; skipping update. +2025-11-04 13:51:14,132 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,133 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,133 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:14,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.52, max=15.67, mean=-0.2859, std=3.104, absmax=15.67 +2025-11-04 13:51:14,134 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.9, max=12.87, mean=-0.2411, std=2.841, absmax=13.9 +2025-11-04 13:51:14,491 ERROR: Encountered non-finite generator loss at iter 25085; skipping update. +2025-11-04 13:51:14,492 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,492 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,493 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:14,493 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.12, mean=-0.1489, std=3.003, absmax=14.12 +2025-11-04 13:51:14,494 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.4, mean=-0.146, std=2.917, absmax=12.4 +2025-11-04 13:51:14,852 ERROR: Encountered non-finite generator loss at iter 25086; skipping update. +2025-11-04 13:51:14,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:14,854 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:14,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.65, mean=-0.1982, std=3.239, absmax=13.65 +2025-11-04 13:51:14,855 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=12.21, mean=-0.1956, std=2.959, absmax=12.37 +2025-11-04 13:51:15,212 ERROR: Encountered non-finite generator loss at iter 25087; skipping update. +2025-11-04 13:51:15,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,214 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:15,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=12.56, mean=-0.2997, std=2.978, absmax=13.84 +2025-11-04 13:51:15,215 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.53, max=11.11, mean=-0.2628, std=2.765, absmax=13.53 +2025-11-04 13:51:15,572 ERROR: Encountered non-finite generator loss at iter 25088; skipping update. +2025-11-04 13:51:15,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,574 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,574 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:15,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.05, mean=-0.1167, std=2.817, absmax=12.08 +2025-11-04 13:51:15,576 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.839, max=11.87, mean=-0.08195, std=2.703, absmax=11.87 +2025-11-04 13:51:15,932 ERROR: Encountered non-finite generator loss at iter 25089; skipping update. +2025-11-04 13:51:15,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,935 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:15,935 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:15,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=14.81, mean=-0.1789, std=3.447, absmax=14.81 +2025-11-04 13:51:15,937 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=13.49, mean=-0.1577, std=3.137, absmax=13.49 +2025-11-04 13:51:16,293 ERROR: Encountered non-finite generator loss at iter 25090; skipping update. +2025-11-04 13:51:16,294 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:16,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:16,295 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:16,295 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:16,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.69, mean=-0.1509, std=2.853, absmax=12.69 +2025-11-04 13:51:16,297 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=12.18, mean=-0.1503, std=2.703, absmax=12.18 +2025-11-04 13:51:16,654 ERROR: Encountered non-finite generator loss at iter 25091; skipping update. +2025-11-04 13:51:16,655 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:16,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:16,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:16,656 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:16,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=14.36, mean=-0.1281, std=3.813, absmax=14.38 +2025-11-04 13:51:16,657 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=12.02, mean=-0.1383, std=3.642, absmax=13.69 +2025-11-04 13:51:17,014 ERROR: Encountered non-finite generator loss at iter 25092; skipping update. +2025-11-04 13:51:17,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:17,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11.96, mean=-0.3655, std=3.137, absmax=13.63 +2025-11-04 13:51:17,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=9.712, mean=-0.3292, std=2.885, absmax=10.79 +2025-11-04 13:51:17,374 ERROR: Encountered non-finite generator loss at iter 25093; skipping update. +2025-11-04 13:51:17,376 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,377 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:17,378 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.61, mean=-0.2024, std=2.911, absmax=12.61 +2025-11-04 13:51:17,378 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.54, mean=-0.1914, std=2.681, absmax=11.69 +2025-11-04 13:51:17,739 ERROR: Encountered non-finite generator loss at iter 25094; skipping update. +2025-11-04 13:51:17,740 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,741 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,741 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:17,741 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:17,742 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.14, mean=-0.2908, std=2.767, absmax=15.14 +2025-11-04 13:51:17,743 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.38, mean=-0.2783, std=2.516, absmax=11.39 +2025-11-04 13:51:18,099 ERROR: Encountered non-finite generator loss at iter 25095; skipping update. +2025-11-04 13:51:18,100 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,101 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,101 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:18,102 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=12.63, mean=-0.2701, std=3.109, absmax=14.19 +2025-11-04 13:51:18,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.57, mean=-0.2418, std=2.958, absmax=12.03 +2025-11-04 13:51:18,459 ERROR: Encountered non-finite generator loss at iter 25096; skipping update. +2025-11-04 13:51:18,460 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,461 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,461 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,462 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:18,462 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=12.28, mean=-0.1207, std=3.059, absmax=14 +2025-11-04 13:51:18,463 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.68, max=10.91, mean=-0.09771, std=2.873, absmax=12.68 +2025-11-04 13:51:18,820 ERROR: Encountered non-finite generator loss at iter 25097; skipping update. +2025-11-04 13:51:18,821 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,822 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:18,823 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:18,824 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.85, max=11.49, mean=-0.2624, std=2.815, absmax=12.85 +2025-11-04 13:51:18,824 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=10.69, mean=-0.2722, std=2.659, absmax=12.46 +2025-11-04 13:51:19,182 ERROR: Encountered non-finite generator loss at iter 25098; skipping update. +2025-11-04 13:51:19,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,185 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:19,185 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=13.24, mean=-0.01625, std=3.238, absmax=13.54 +2025-11-04 13:51:19,186 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=11.89, mean=-0.02237, std=2.964, absmax=12.39 +2025-11-04 13:51:19,544 ERROR: Encountered non-finite generator loss at iter 25099; skipping update. +2025-11-04 13:51:19,545 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,546 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:19,547 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=10.6, mean=-0.3251, std=2.948, absmax=13.01 +2025-11-04 13:51:19,547 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.72, max=10.7, mean=-0.2875, std=2.923, absmax=11.72 +2025-11-04 13:51:19,905 ERROR: Encountered non-finite generator loss at iter 25100; skipping update. +2025-11-04 13:51:19,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:19,907 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:19,908 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=14.82, mean=-0.03988, std=3.079, absmax=14.82 +2025-11-04 13:51:19,909 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=10.76, mean=-0.02613, std=2.808, absmax=12.28 +2025-11-04 13:51:19,909 INFO: [38..][epoch: 0, step: 25,100, lr:(2.000e-04,)] [eta: 1 day, 3:20:06, time (data): 0.361 (0.000)] +2025-11-04 13:51:20,265 ERROR: Encountered non-finite generator loss at iter 25101; skipping update. +2025-11-04 13:51:20,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,267 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,267 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,268 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:20,268 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.21, max=12.54, mean=-0.2986, std=3.505, absmax=15.21 +2025-11-04 13:51:20,269 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=10.68, mean=-0.254, std=3.354, absmax=13.76 +2025-11-04 13:51:20,627 ERROR: Encountered non-finite generator loss at iter 25102; skipping update. +2025-11-04 13:51:20,628 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,629 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,629 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:20,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=10.05, mean=-0.1763, std=2.391, absmax=11.68 +2025-11-04 13:51:20,631 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.868, max=9.578, mean=-0.1351, std=2.31, absmax=9.868 +2025-11-04 13:51:20,988 ERROR: Encountered non-finite generator loss at iter 25103; skipping update. +2025-11-04 13:51:20,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:20,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:20,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=15.26, mean=-0.02132, std=3.316, absmax=15.26 +2025-11-04 13:51:20,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11, max=14.33, mean=0.007166, std=3.128, absmax=14.33 +2025-11-04 13:51:21,349 ERROR: Encountered non-finite generator loss at iter 25104; skipping update. +2025-11-04 13:51:21,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:21,350 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:21,350 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:21,351 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:21,351 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=13.74, mean=-0.1001, std=3.187, absmax=13.74 +2025-11-04 13:51:21,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.08, mean=-0.1267, std=2.977, absmax=12.08 +2025-11-04 13:51:21,710 ERROR: Encountered non-finite generator loss at iter 25105; skipping update. +2025-11-04 13:51:21,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:21,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:21,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:21,712 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:21,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.93, mean=-0.01696, std=3.035, absmax=13.93 +2025-11-04 13:51:21,713 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=11.91, mean=-0.03297, std=2.934, absmax=11.91 +2025-11-04 13:51:22,070 ERROR: Encountered non-finite generator loss at iter 25106; skipping update. +2025-11-04 13:51:22,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,072 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,072 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:22,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=11.91, mean=-0.2604, std=2.953, absmax=12.91 +2025-11-04 13:51:22,073 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=9.546, mean=-0.2477, std=2.776, absmax=11.98 +2025-11-04 13:51:22,431 ERROR: Encountered non-finite generator loss at iter 25107; skipping update. +2025-11-04 13:51:22,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:22,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=12.99, mean=-0.147, std=3.299, absmax=12.99 +2025-11-04 13:51:22,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.02, mean=-0.1261, std=3.045, absmax=12.02 +2025-11-04 13:51:22,791 ERROR: Encountered non-finite generator loss at iter 25108; skipping update. +2025-11-04 13:51:22,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,793 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:22,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:22,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.83, mean=-0.1421, std=2.841, absmax=11.99 +2025-11-04 13:51:22,794 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=10.27, mean=-0.1122, std=2.505, absmax=10.85 +2025-11-04 13:51:23,151 ERROR: Encountered non-finite generator loss at iter 25109; skipping update. +2025-11-04 13:51:23,152 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,153 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,153 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:23,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.69, max=14.44, mean=0.1877, std=3.261, absmax=14.44 +2025-11-04 13:51:23,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=12.97, mean=0.1696, std=3.053, absmax=12.97 +2025-11-04 13:51:23,512 ERROR: Encountered non-finite generator loss at iter 25110; skipping update. +2025-11-04 13:51:23,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:23,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.78, mean=-0.1575, std=2.544, absmax=12.78 +2025-11-04 13:51:23,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=9.71, mean=-0.1237, std=2.284, absmax=10.85 +2025-11-04 13:51:23,873 ERROR: Encountered non-finite generator loss at iter 25111; skipping update. +2025-11-04 13:51:23,874 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:23,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:23,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=12.42, mean=-0.06629, std=3.454, absmax=14.34 +2025-11-04 13:51:23,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.56, mean=-0.04109, std=3.202, absmax=12.12 +2025-11-04 13:51:24,234 ERROR: Encountered non-finite generator loss at iter 25112; skipping update. +2025-11-04 13:51:24,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,236 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:24,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=10.91, mean=-0.1989, std=3.101, absmax=13.07 +2025-11-04 13:51:24,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=10.02, mean=-0.2318, std=2.974, absmax=12.78 +2025-11-04 13:51:24,594 ERROR: Encountered non-finite generator loss at iter 25113; skipping update. +2025-11-04 13:51:24,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,596 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:24,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.05, max=9.647, mean=-0.1826, std=2.273, absmax=10.05 +2025-11-04 13:51:24,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=9.799, mean=-0.1549, std=2.256, absmax=10.06 +2025-11-04 13:51:24,955 ERROR: Encountered non-finite generator loss at iter 25114; skipping update. +2025-11-04 13:51:24,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:24,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:24,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.74, mean=0.03902, std=2.97, absmax=12.82 +2025-11-04 13:51:24,959 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.88, max=12.75, mean=0.009954, std=2.835, absmax=12.75 +2025-11-04 13:51:25,316 ERROR: Encountered non-finite generator loss at iter 25115; skipping update. +2025-11-04 13:51:25,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:25,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:25,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:25,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:25,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.87, max=11.53, mean=-0.1301, std=3.151, absmax=11.87 +2025-11-04 13:51:25,320 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=10.85, mean=-0.1057, std=2.916, absmax=10.85 +2025-11-04 13:51:25,676 ERROR: Encountered non-finite generator loss at iter 25116; skipping update. +2025-11-04 13:51:25,677 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:25,678 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:25,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:25,679 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:25,679 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=11.82, mean=-0.3319, std=2.586, absmax=12.16 +2025-11-04 13:51:25,680 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.988, max=10.23, mean=-0.3057, std=2.365, absmax=10.23 +2025-11-04 13:51:26,037 ERROR: Encountered non-finite generator loss at iter 25117; skipping update. +2025-11-04 13:51:26,038 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,038 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,039 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,039 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:26,040 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=15.16, mean=0.05762, std=3.591, absmax=15.16 +2025-11-04 13:51:26,041 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=15.04, mean=0.07442, std=3.429, absmax=15.04 +2025-11-04 13:51:26,398 ERROR: Encountered non-finite generator loss at iter 25118; skipping update. +2025-11-04 13:51:26,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,400 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:26,400 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=16.03, mean=-0.3658, std=3.191, absmax=16.03 +2025-11-04 13:51:26,401 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.65, max=14.31, mean=-0.3735, std=2.945, absmax=14.31 +2025-11-04 13:51:26,758 ERROR: Encountered non-finite generator loss at iter 25119; skipping update. +2025-11-04 13:51:26,759 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,760 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,760 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:26,760 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:26,761 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.04, max=12.87, mean=-0.1201, std=2.765, absmax=14.04 +2025-11-04 13:51:26,762 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=12.4, mean=-0.1163, std=2.534, absmax=12.4 +2025-11-04 13:51:27,120 ERROR: Encountered non-finite generator loss at iter 25120; skipping update. +2025-11-04 13:51:27,121 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,121 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,122 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:27,123 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.82, mean=-0.2229, std=2.932, absmax=13.03 +2025-11-04 13:51:27,123 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=10.74, mean=-0.2449, std=2.699, absmax=11.19 +2025-11-04 13:51:27,480 ERROR: Encountered non-finite generator loss at iter 25121; skipping update. +2025-11-04 13:51:27,481 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:27,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=11.74, mean=-0.2914, std=2.411, absmax=11.74 +2025-11-04 13:51:27,484 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=11.52, mean=-0.2702, std=2.302, absmax=11.52 +2025-11-04 13:51:27,841 ERROR: Encountered non-finite generator loss at iter 25122; skipping update. +2025-11-04 13:51:27,842 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,843 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,843 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:27,843 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:27,844 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=13.84, mean=-0.07269, std=3.782, absmax=13.99 +2025-11-04 13:51:27,845 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=12.79, mean=-0.08919, std=3.452, absmax=12.79 +2025-11-04 13:51:28,202 ERROR: Encountered non-finite generator loss at iter 25123; skipping update. +2025-11-04 13:51:28,203 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,203 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,204 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,204 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:28,205 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.41, max=12.26, mean=-0.07968, std=2.928, absmax=12.26 +2025-11-04 13:51:28,206 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.42, mean=-0.06721, std=2.754, absmax=12.42 +2025-11-04 13:51:28,563 ERROR: Encountered non-finite generator loss at iter 25124; skipping update. +2025-11-04 13:51:28,564 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,565 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,565 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,566 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:28,566 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.19, mean=-0.06686, std=2.842, absmax=13.19 +2025-11-04 13:51:28,567 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=11.53, mean=-0.05596, std=2.656, absmax=11.53 +2025-11-04 13:51:28,924 ERROR: Encountered non-finite generator loss at iter 25125; skipping update. +2025-11-04 13:51:28,925 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,925 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,926 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:28,926 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:28,927 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=18.63, mean=-0.27, std=3.347, absmax=18.63 +2025-11-04 13:51:28,928 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.8, max=16.38, mean=-0.2526, std=3, absmax=16.38 +2025-11-04 13:51:29,285 ERROR: Encountered non-finite generator loss at iter 25126; skipping update. +2025-11-04 13:51:29,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:29,286 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:29,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:29,287 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:29,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=12.91, mean=-0.2382, std=2.543, absmax=13.3 +2025-11-04 13:51:29,288 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.68, max=11.24, mean=-0.2133, std=2.372, absmax=11.68 +2025-11-04 13:51:29,645 ERROR: Encountered non-finite generator loss at iter 25127; skipping update. +2025-11-04 13:51:29,646 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:29,646 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:29,646 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:29,647 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:29,647 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=10, mean=-0.2842, std=2.485, absmax=12.09 +2025-11-04 13:51:29,648 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=10.47, mean=-0.3114, std=2.415, absmax=10.58 +2025-11-04 13:51:30,005 ERROR: Encountered non-finite generator loss at iter 25128; skipping update. +2025-11-04 13:51:30,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,007 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:30,008 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=11.86, mean=-0.2507, std=3.115, absmax=13.95 +2025-11-04 13:51:30,008 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=10.54, mean=-0.2702, std=2.894, absmax=12.27 +2025-11-04 13:51:30,366 ERROR: Encountered non-finite generator loss at iter 25129; skipping update. +2025-11-04 13:51:30,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,367 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:30,368 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=15.64, mean=-0.2749, std=2.882, absmax=15.64 +2025-11-04 13:51:30,369 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=11.01, mean=-0.2414, std=2.703, absmax=12.35 +2025-11-04 13:51:30,726 ERROR: Encountered non-finite generator loss at iter 25130; skipping update. +2025-11-04 13:51:30,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,728 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:30,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:30,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.25, max=14.62, mean=0.1097, std=3.795, absmax=14.62 +2025-11-04 13:51:30,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=13.77, mean=0.03769, std=3.538, absmax=13.77 +2025-11-04 13:51:31,087 ERROR: Encountered non-finite generator loss at iter 25131; skipping update. +2025-11-04 13:51:31,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,088 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:31,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=13.75, mean=-0.09857, std=3.293, absmax=13.75 +2025-11-04 13:51:31,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.52, max=12.43, mean=-0.09558, std=3.004, absmax=12.43 +2025-11-04 13:51:31,447 ERROR: Encountered non-finite generator loss at iter 25132; skipping update. +2025-11-04 13:51:31,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:31,449 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=10.97, mean=-0.1101, std=2.847, absmax=11.78 +2025-11-04 13:51:31,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=10.17, mean=-0.1092, std=2.702, absmax=11.21 +2025-11-04 13:51:31,807 ERROR: Encountered non-finite generator loss at iter 25133; skipping update. +2025-11-04 13:51:31,808 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:31,810 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:31,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.73, mean=-0.2951, std=2.379, absmax=12.73 +2025-11-04 13:51:31,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=12.32, mean=-0.2763, std=2.26, absmax=12.32 +2025-11-04 13:51:32,168 ERROR: Encountered non-finite generator loss at iter 25134; skipping update. +2025-11-04 13:51:32,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,170 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:32,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=15.46, mean=-0.4709, std=3.653, absmax=15.46 +2025-11-04 13:51:32,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.59, max=13.46, mean=-0.4519, std=3.447, absmax=13.59 +2025-11-04 13:51:32,529 ERROR: Encountered non-finite generator loss at iter 25135; skipping update. +2025-11-04 13:51:32,530 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,531 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,531 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:32,532 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.12, max=10.5, mean=-0.3403, std=2.86, absmax=12.12 +2025-11-04 13:51:32,533 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=9.199, mean=-0.3108, std=2.698, absmax=10.83 +2025-11-04 13:51:32,890 ERROR: Encountered non-finite generator loss at iter 25136; skipping update. +2025-11-04 13:51:32,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:32,892 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:32,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.61, mean=-0.06735, std=3.136, absmax=12.73 +2025-11-04 13:51:32,893 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12.67, mean=-0.04569, std=2.99, absmax=12.67 +2025-11-04 13:51:33,251 ERROR: Encountered non-finite generator loss at iter 25137; skipping update. +2025-11-04 13:51:33,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:33,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=13.5, mean=-0.06633, std=3.232, absmax=13.5 +2025-11-04 13:51:33,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=12.02, mean=-0.09672, std=3.105, absmax=12.76 +2025-11-04 13:51:33,612 ERROR: Encountered non-finite generator loss at iter 25138; skipping update. +2025-11-04 13:51:33,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:33,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=11.54, mean=-0.1748, std=2.706, absmax=12.98 +2025-11-04 13:51:33,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.934, mean=-0.2057, std=2.522, absmax=11.67 +2025-11-04 13:51:33,971 ERROR: Encountered non-finite generator loss at iter 25139; skipping update. +2025-11-04 13:51:33,972 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:33,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:33,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=10.09, mean=-0.191, std=2.35, absmax=11.53 +2025-11-04 13:51:33,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=8.523, mean=-0.1932, std=2.261, absmax=10.53 +2025-11-04 13:51:34,332 ERROR: Encountered non-finite generator loss at iter 25140; skipping update. +2025-11-04 13:51:34,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:34,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:34,333 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:34,334 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:34,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.47, mean=-0.1652, std=2.714, absmax=13.47 +2025-11-04 13:51:34,335 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.32, max=12.98, mean=-0.1672, std=2.464, absmax=12.98 +2025-11-04 13:51:34,691 ERROR: Encountered non-finite generator loss at iter 25141; skipping update. +2025-11-04 13:51:34,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:34,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:34,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:34,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:34,694 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.27, max=13.48, mean=0.07038, std=3.376, absmax=15.27 +2025-11-04 13:51:34,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=11.97, mean=0.08209, std=3.173, absmax=12.72 +2025-11-04 13:51:35,052 ERROR: Encountered non-finite generator loss at iter 25142; skipping update. +2025-11-04 13:51:35,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,054 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:35,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=11.62, mean=-0.1985, std=2.872, absmax=11.84 +2025-11-04 13:51:35,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=9.865, mean=-0.2145, std=2.653, absmax=11.9 +2025-11-04 13:51:35,412 ERROR: Encountered non-finite generator loss at iter 25143; skipping update. +2025-11-04 13:51:35,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,414 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:35,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.22, max=15.41, mean=-0.05119, std=3.234, absmax=15.41 +2025-11-04 13:51:35,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=14.56, mean=-0.03336, std=3.048, absmax=14.56 +2025-11-04 13:51:35,773 ERROR: Encountered non-finite generator loss at iter 25144; skipping update. +2025-11-04 13:51:35,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,775 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:35,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:35,776 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=13.17, mean=-7.16e-05, std=3.402, absmax=13.32 +2025-11-04 13:51:35,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=12.54, mean=0.02115, std=3.114, absmax=13.09 +2025-11-04 13:51:36,133 ERROR: Encountered non-finite generator loss at iter 25145; skipping update. +2025-11-04 13:51:36,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:36,136 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=11.97, mean=-0.2827, std=2.911, absmax=14.74 +2025-11-04 13:51:36,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=11.8, mean=-0.1947, std=2.748, absmax=12.74 +2025-11-04 13:51:36,492 ERROR: Encountered non-finite generator loss at iter 25146; skipping update. +2025-11-04 13:51:36,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:36,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.44, max=12.44, mean=-0.1476, std=3.114, absmax=12.44 +2025-11-04 13:51:36,496 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=10.89, mean=-0.1612, std=2.796, absmax=10.89 +2025-11-04 13:51:36,852 ERROR: Encountered non-finite generator loss at iter 25147; skipping update. +2025-11-04 13:51:36,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:36,854 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:36,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=13.09, mean=-0.1591, std=2.749, absmax=13.09 +2025-11-04 13:51:36,855 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.893, max=11.62, mean=-0.1495, std=2.61, absmax=11.62 +2025-11-04 13:51:37,212 ERROR: Encountered non-finite generator loss at iter 25148; skipping update. +2025-11-04 13:51:37,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,213 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,214 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:37,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=11.86, mean=-0.044, std=3, absmax=14.19 +2025-11-04 13:51:37,215 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=10.6, mean=-0.06251, std=2.821, absmax=13.24 +2025-11-04 13:51:37,572 ERROR: Encountered non-finite generator loss at iter 25149; skipping update. +2025-11-04 13:51:37,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,574 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,574 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:37,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=10.31, mean=-0.3543, std=2.983, absmax=11.9 +2025-11-04 13:51:37,575 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=10.28, mean=-0.3449, std=2.858, absmax=11.16 +2025-11-04 13:51:37,932 ERROR: Encountered non-finite generator loss at iter 25150; skipping update. +2025-11-04 13:51:37,934 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:37,935 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:37,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.77, max=12.88, mean=-0.2805, std=2.863, absmax=12.88 +2025-11-04 13:51:37,936 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=11.62, mean=-0.3184, std=2.641, absmax=11.7 +2025-11-04 13:51:38,293 ERROR: Encountered non-finite generator loss at iter 25151; skipping update. +2025-11-04 13:51:38,294 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:38,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:38,295 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:38,295 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:38,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=11.26, mean=-0.1671, std=2.75, absmax=13.11 +2025-11-04 13:51:38,296 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.7, max=10, mean=-0.1324, std=2.522, absmax=10.7 +2025-11-04 13:51:38,654 ERROR: Encountered non-finite generator loss at iter 25152; skipping update. +2025-11-04 13:51:38,655 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:38,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:38,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:38,656 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:38,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=10.79, mean=-0.3198, std=2.429, absmax=11.79 +2025-11-04 13:51:38,657 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=11.72, mean=-0.338, std=2.42, absmax=12.72 +2025-11-04 13:51:39,014 ERROR: Encountered non-finite generator loss at iter 25153; skipping update. +2025-11-04 13:51:39,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:39,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=11.64, mean=-0.1604, std=2.687, absmax=11.64 +2025-11-04 13:51:39,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=10.96, mean=-0.1582, std=2.515, absmax=10.96 +2025-11-04 13:51:39,374 ERROR: Encountered non-finite generator loss at iter 25154; skipping update. +2025-11-04 13:51:39,375 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,376 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,377 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:39,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=10.52, mean=-0.2893, std=2.326, absmax=11.25 +2025-11-04 13:51:39,378 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=10.71, mean=-0.2612, std=2.321, absmax=10.71 +2025-11-04 13:51:39,735 ERROR: Encountered non-finite generator loss at iter 25155; skipping update. +2025-11-04 13:51:39,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:39,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:39,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.12, max=12.92, mean=-0.2856, std=3.003, absmax=16.12 +2025-11-04 13:51:39,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.6, max=11.53, mean=-0.2163, std=2.71, absmax=15.6 +2025-11-04 13:51:40,094 ERROR: Encountered non-finite generator loss at iter 25156; skipping update. +2025-11-04 13:51:40,095 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,096 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,096 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:40,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.96, mean=-0.2047, std=2.701, absmax=11.96 +2025-11-04 13:51:40,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=10.94, mean=-0.1698, std=2.559, absmax=11.05 +2025-11-04 13:51:40,454 ERROR: Encountered non-finite generator loss at iter 25157; skipping update. +2025-11-04 13:51:40,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,456 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,457 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:40,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.02, max=15.44, mean=-0.205, std=3.036, absmax=15.44 +2025-11-04 13:51:40,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.18, max=12.84, mean=-0.2294, std=2.803, absmax=12.84 +2025-11-04 13:51:40,815 ERROR: Encountered non-finite generator loss at iter 25158; skipping update. +2025-11-04 13:51:40,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,816 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,816 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:40,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:40,817 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=14.89, mean=-0.1456, std=3.03, absmax=14.89 +2025-11-04 13:51:40,818 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=13.6, mean=-0.155, std=2.886, absmax=13.6 +2025-11-04 13:51:41,242 ERROR: Encountered non-finite generator loss at iter 25159; skipping update. +2025-11-04 13:51:41,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,244 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,245 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:41,246 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=12.99, mean=-0.1193, std=2.95, absmax=13.13 +2025-11-04 13:51:41,246 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.48, mean=-0.1276, std=2.741, absmax=11.48 +2025-11-04 13:51:41,604 ERROR: Encountered non-finite generator loss at iter 25160; skipping update. +2025-11-04 13:51:41,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,605 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:41,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.41, max=16.28, mean=-0.4357, std=3.535, absmax=16.28 +2025-11-04 13:51:41,607 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=13.01, mean=-0.4073, std=3.279, absmax=13.05 +2025-11-04 13:51:41,964 ERROR: Encountered non-finite generator loss at iter 25161; skipping update. +2025-11-04 13:51:41,965 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,966 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:41,967 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:41,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=13.15, mean=-0.2816, std=3.665, absmax=13.93 +2025-11-04 13:51:41,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=12.1, mean=-0.246, std=3.408, absmax=12.46 +2025-11-04 13:51:42,325 ERROR: Encountered non-finite generator loss at iter 25162; skipping update. +2025-11-04 13:51:42,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:42,327 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:42,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:42,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:42,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=13.23, mean=0.01097, std=3.283, absmax=15.17 +2025-11-04 13:51:42,328 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=12.28, mean=0.005728, std=3.037, absmax=12.28 +2025-11-04 13:51:42,685 ERROR: Encountered non-finite generator loss at iter 25163; skipping update. +2025-11-04 13:51:42,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:42,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:42,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:42,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:42,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=14.21, mean=-0.03207, std=2.978, absmax=14.62 +2025-11-04 13:51:42,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=12.34, mean=-0.03277, std=2.775, absmax=12.34 +2025-11-04 13:51:43,045 ERROR: Encountered non-finite generator loss at iter 25164; skipping update. +2025-11-04 13:51:43,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,048 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:43,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=15.72, mean=-0.2161, std=3.135, absmax=15.72 +2025-11-04 13:51:43,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=13.93, mean=-0.2144, std=2.907, absmax=13.93 +2025-11-04 13:51:43,407 ERROR: Encountered non-finite generator loss at iter 25165; skipping update. +2025-11-04 13:51:43,407 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,407 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,408 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,408 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:43,409 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.12, max=10.16, mean=-0.1057, std=2.594, absmax=11.12 +2025-11-04 13:51:43,409 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.19, max=9.352, mean=-0.06301, std=2.527, absmax=10.19 +2025-11-04 13:51:43,766 ERROR: Encountered non-finite generator loss at iter 25166; skipping update. +2025-11-04 13:51:43,767 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:43,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:43,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.56, max=11.77, mean=-0.2159, std=2.915, absmax=15.56 +2025-11-04 13:51:43,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.2, max=10.48, mean=-0.1906, std=2.587, absmax=13.2 +2025-11-04 13:51:44,128 ERROR: Encountered non-finite generator loss at iter 25167; skipping update. +2025-11-04 13:51:44,129 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,130 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,130 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:44,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.95, max=14.26, mean=-0.3119, std=2.955, absmax=14.26 +2025-11-04 13:51:44,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.64, mean=-0.3007, std=2.707, absmax=11.79 +2025-11-04 13:51:44,488 ERROR: Encountered non-finite generator loss at iter 25168; skipping update. +2025-11-04 13:51:44,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,490 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,491 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:44,491 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.07, mean=-0.1548, std=2.938, absmax=12.66 +2025-11-04 13:51:44,492 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=11.86, mean=-0.1359, std=2.793, absmax=11.86 +2025-11-04 13:51:44,849 ERROR: Encountered non-finite generator loss at iter 25169; skipping update. +2025-11-04 13:51:44,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,852 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:44,852 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:44,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=13.91, mean=-0.3283, std=3.397, absmax=14.86 +2025-11-04 13:51:44,853 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=11.63, mean=-0.3217, std=3.224, absmax=12.8 +2025-11-04 13:51:45,210 ERROR: Encountered non-finite generator loss at iter 25170; skipping update. +2025-11-04 13:51:45,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,212 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:45,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-21.29, max=16.04, mean=-0.2535, std=3.732, absmax=21.29 +2025-11-04 13:51:45,213 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.87, max=14.77, mean=-0.228, std=3.488, absmax=14.77 +2025-11-04 13:51:45,570 ERROR: Encountered non-finite generator loss at iter 25171; skipping update. +2025-11-04 13:51:45,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:45,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.65, max=13.76, mean=-0.1574, std=2.302, absmax=13.76 +2025-11-04 13:51:45,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.04, max=13.16, mean=-0.1311, std=2.178, absmax=13.16 +2025-11-04 13:51:45,930 ERROR: Encountered non-finite generator loss at iter 25172; skipping update. +2025-11-04 13:51:45,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,932 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:45,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:45,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.11, mean=-0.1376, std=3.14, absmax=13.94 +2025-11-04 13:51:45,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=13.4, mean=-0.1542, std=2.928, absmax=13.4 +2025-11-04 13:51:46,290 ERROR: Encountered non-finite generator loss at iter 25173; skipping update. +2025-11-04 13:51:46,292 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:46,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:46,293 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:46,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:46,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.39, max=14.49, mean=0.1768, std=3.611, absmax=15.39 +2025-11-04 13:51:46,296 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=13.83, mean=0.1371, std=3.342, absmax=13.83 +2025-11-04 13:51:46,656 ERROR: Encountered non-finite generator loss at iter 25174; skipping update. +2025-11-04 13:51:46,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:46,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:46,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:46,659 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:46,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.96, mean=-0.0006644, std=3.321, absmax=13.96 +2025-11-04 13:51:46,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=12.92, mean=0.02395, std=3.091, absmax=12.92 +2025-11-04 13:51:47,019 ERROR: Encountered non-finite generator loss at iter 25175; skipping update. +2025-11-04 13:51:47,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,021 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,021 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,022 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:47,023 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=15.34, mean=0.001335, std=3.418, absmax=15.34 +2025-11-04 13:51:47,023 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=13.37, mean=0.06387, std=3.255, absmax=13.37 +2025-11-04 13:51:47,383 ERROR: Encountered non-finite generator loss at iter 25176; skipping update. +2025-11-04 13:51:47,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,384 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,385 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,385 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:47,386 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=16.59, mean=0.03943, std=3.15, absmax=16.59 +2025-11-04 13:51:47,387 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=17.01, mean=0.03522, std=3.056, absmax=17.01 +2025-11-04 13:51:47,746 ERROR: Encountered non-finite generator loss at iter 25177; skipping update. +2025-11-04 13:51:47,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:47,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:47,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=12.11, mean=-0.2722, std=2.748, absmax=12.11 +2025-11-04 13:51:47,751 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=11.56, mean=-0.2424, std=2.57, absmax=11.56 +2025-11-04 13:51:48,110 ERROR: Encountered non-finite generator loss at iter 25178; skipping update. +2025-11-04 13:51:48,111 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,111 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,112 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,112 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:48,113 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=14.16, mean=-0.2006, std=2.81, absmax=14.16 +2025-11-04 13:51:48,114 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.16, max=13.05, mean=-0.181, std=2.586, absmax=13.05 +2025-11-04 13:51:48,473 ERROR: Encountered non-finite generator loss at iter 25179; skipping update. +2025-11-04 13:51:48,474 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,475 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,475 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:48,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.46, mean=-0.3054, std=2.896, absmax=12.46 +2025-11-04 13:51:48,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=9.595, mean=-0.2852, std=2.809, absmax=11.55 +2025-11-04 13:51:48,835 ERROR: Encountered non-finite generator loss at iter 25180; skipping update. +2025-11-04 13:51:48,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:48,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:48,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=10.69, mean=-0.1648, std=3.066, absmax=12.61 +2025-11-04 13:51:48,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=9.743, mean=-0.2053, std=2.829, absmax=11.5 +2025-11-04 13:51:49,195 ERROR: Encountered non-finite generator loss at iter 25181; skipping update. +2025-11-04 13:51:49,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:49,197 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=15.77, mean=-0.05669, std=2.939, absmax=15.77 +2025-11-04 13:51:49,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=13.63, mean=-0.03679, std=2.735, absmax=13.63 +2025-11-04 13:51:49,555 ERROR: Encountered non-finite generator loss at iter 25182; skipping update. +2025-11-04 13:51:49,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,557 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:49,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=11.06, mean=-0.1677, std=2.609, absmax=11.71 +2025-11-04 13:51:49,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=10.27, mean=-0.1583, std=2.501, absmax=10.98 +2025-11-04 13:51:49,915 ERROR: Encountered non-finite generator loss at iter 25183; skipping update. +2025-11-04 13:51:49,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:49,917 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:49,918 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.92, max=12.34, mean=-0.2687, std=2.313, absmax=12.34 +2025-11-04 13:51:49,918 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.916, max=12.61, mean=-0.2231, std=2.204, absmax=12.61 +2025-11-04 13:51:50,275 ERROR: Encountered non-finite generator loss at iter 25184; skipping update. +2025-11-04 13:51:50,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,277 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:50,278 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.4, max=13.37, mean=-0.259, std=3.008, absmax=13.37 +2025-11-04 13:51:50,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=12.8, mean=-0.2344, std=2.884, absmax=12.8 +2025-11-04 13:51:50,635 ERROR: Encountered non-finite generator loss at iter 25185; skipping update. +2025-11-04 13:51:50,636 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,637 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:50,638 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=15.05, mean=-0.1049, std=2.993, absmax=15.05 +2025-11-04 13:51:50,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=13.84, mean=-0.08391, std=2.799, absmax=13.84 +2025-11-04 13:51:50,994 ERROR: Encountered non-finite generator loss at iter 25186; skipping update. +2025-11-04 13:51:50,995 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,996 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,996 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:50,997 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:50,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=17.34, mean=0.1284, std=3.79, absmax=17.34 +2025-11-04 13:51:50,998 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=14.06, mean=0.1232, std=3.504, absmax=14.06 +2025-11-04 13:51:51,354 ERROR: Encountered non-finite generator loss at iter 25187; skipping update. +2025-11-04 13:51:51,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:51,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:51,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:51,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:51,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=14.26, mean=-0.3084, std=3.087, absmax=14.26 +2025-11-04 13:51:51,358 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=12.96, mean=-0.3282, std=3.017, absmax=13.36 +2025-11-04 13:51:51,715 ERROR: Encountered non-finite generator loss at iter 25188; skipping update. +2025-11-04 13:51:51,716 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:51,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:51,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:51,717 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:51,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=13.87, mean=-0.1336, std=2.522, absmax=13.87 +2025-11-04 13:51:51,718 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=10.24, mean=-0.1449, std=2.428, absmax=11.33 +2025-11-04 13:51:52,074 ERROR: Encountered non-finite generator loss at iter 25189; skipping update. +2025-11-04 13:51:52,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:52,077 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.79, max=14.19, mean=-0.02353, std=3.04, absmax=14.19 +2025-11-04 13:51:52,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=12.37, mean=-0.01896, std=2.784, absmax=12.37 +2025-11-04 13:51:52,434 ERROR: Encountered non-finite generator loss at iter 25190; skipping update. +2025-11-04 13:51:52,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:52,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=10.92, mean=-0.1884, std=3.049, absmax=13.03 +2025-11-04 13:51:52,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=11.19, mean=-0.1911, std=2.894, absmax=12.39 +2025-11-04 13:51:52,793 ERROR: Encountered non-finite generator loss at iter 25191; skipping update. +2025-11-04 13:51:52,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,795 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:52,796 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:52,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=12.77, mean=-0.1385, std=2.792, absmax=12.77 +2025-11-04 13:51:52,797 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=11.23, mean=-0.09735, std=2.578, absmax=11.23 +2025-11-04 13:51:53,154 ERROR: Encountered non-finite generator loss at iter 25192; skipping update. +2025-11-04 13:51:53,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:53,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=11.82, mean=-0.2018, std=2.519, absmax=11.82 +2025-11-04 13:51:53,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=9.78, mean=-0.1784, std=2.368, absmax=10.34 +2025-11-04 13:51:53,515 ERROR: Encountered non-finite generator loss at iter 25193; skipping update. +2025-11-04 13:51:53,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,517 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:53,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=11.87, mean=-0.03365, std=3.191, absmax=12.49 +2025-11-04 13:51:53,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=11.03, mean=-0.01446, std=2.999, absmax=11.82 +2025-11-04 13:51:53,875 ERROR: Encountered non-finite generator loss at iter 25194; skipping update. +2025-11-04 13:51:53,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:53,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:53,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=16.74, mean=-0.1827, std=3.157, absmax=16.74 +2025-11-04 13:51:53,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=14.58, mean=-0.1521, std=2.894, absmax=14.58 +2025-11-04 13:51:54,235 ERROR: Encountered non-finite generator loss at iter 25195; skipping update. +2025-11-04 13:51:54,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:54,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.28, max=15.11, mean=-0.04882, std=2.967, absmax=15.11 +2025-11-04 13:51:54,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.47, max=14.57, mean=-0.02498, std=2.812, absmax=14.57 +2025-11-04 13:51:54,595 ERROR: Encountered non-finite generator loss at iter 25196; skipping update. +2025-11-04 13:51:54,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:54,598 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.08, max=11.78, mean=-0.257, std=2.382, absmax=11.78 +2025-11-04 13:51:54,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.371, max=9.106, mean=-0.2872, std=2.201, absmax=9.371 +2025-11-04 13:51:54,955 ERROR: Encountered non-finite generator loss at iter 25197; skipping update. +2025-11-04 13:51:54,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:54,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:54,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14, max=11.62, mean=-0.1273, std=3.184, absmax=14 +2025-11-04 13:51:54,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.63, mean=-0.08838, std=2.958, absmax=11.63 +2025-11-04 13:51:55,315 ERROR: Encountered non-finite generator loss at iter 25198; skipping update. +2025-11-04 13:51:55,316 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:55,317 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:55,317 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:55,317 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:55,318 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=13.44, mean=-0.06078, std=2.83, absmax=14.22 +2025-11-04 13:51:55,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.76, max=12.09, mean=-0.0194, std=2.633, absmax=13.76 +2025-11-04 13:51:55,675 ERROR: Encountered non-finite generator loss at iter 25199; skipping update. +2025-11-04 13:51:55,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:55,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:55,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:55,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:55,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=15.16, mean=0.1497, std=3.456, absmax=15.16 +2025-11-04 13:51:55,678 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=15.04, mean=0.1517, std=3.311, absmax=15.04 +2025-11-04 13:51:56,036 ERROR: Encountered non-finite generator loss at iter 25200; skipping update. +2025-11-04 13:51:56,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:56,038 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.72, max=13.27, mean=-0.2188, std=2.627, absmax=15.72 +2025-11-04 13:51:56,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=12, mean=-0.2058, std=2.428, absmax=12 +2025-11-04 13:51:56,040 INFO: [38..][epoch: 0, step: 25,200, lr:(2.000e-04,)] [eta: 1 day, 3:14:21, time (data): 0.361 (0.000)] +2025-11-04 13:51:56,396 ERROR: Encountered non-finite generator loss at iter 25201; skipping update. +2025-11-04 13:51:56,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:56,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=16.88, mean=0.001224, std=3.1, absmax=16.88 +2025-11-04 13:51:56,399 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.68, max=12.33, mean=-0.03488, std=2.875, absmax=13.68 +2025-11-04 13:51:56,756 ERROR: Encountered non-finite generator loss at iter 25202; skipping update. +2025-11-04 13:51:56,757 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:56,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:56,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=11.81, mean=-0.127, std=2.449, absmax=12.42 +2025-11-04 13:51:56,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=9.987, mean=-0.09988, std=2.344, absmax=11.36 +2025-11-04 13:51:57,116 ERROR: Encountered non-finite generator loss at iter 25203; skipping update. +2025-11-04 13:51:57,117 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,118 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:57,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=10.56, mean=-0.1512, std=2.613, absmax=12.36 +2025-11-04 13:51:57,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=9.477, mean=-0.1551, std=2.423, absmax=10.44 +2025-11-04 13:51:57,477 ERROR: Encountered non-finite generator loss at iter 25204; skipping update. +2025-11-04 13:51:57,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:57,480 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=12.03, mean=-0.07193, std=3.008, absmax=12.13 +2025-11-04 13:51:57,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=9.357, mean=-0.07167, std=2.592, absmax=10.51 +2025-11-04 13:51:57,837 ERROR: Encountered non-finite generator loss at iter 25205; skipping update. +2025-11-04 13:51:57,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,839 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,839 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:57,839 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:57,840 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=14.54, mean=-0.1134, std=3.848, absmax=14.54 +2025-11-04 13:51:57,841 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.8, max=13.79, mean=-0.1136, std=3.629, absmax=13.8 +2025-11-04 13:51:58,197 ERROR: Encountered non-finite generator loss at iter 25206; skipping update. +2025-11-04 13:51:58,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,200 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,200 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:58,201 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=13.46, mean=-0.2381, std=3.062, absmax=13.46 +2025-11-04 13:51:58,201 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=11.66, mean=-0.2984, std=2.836, absmax=11.66 +2025-11-04 13:51:58,558 ERROR: Encountered non-finite generator loss at iter 25207; skipping update. +2025-11-04 13:51:58,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,560 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,561 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:58,561 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=10.38, mean=-0.2467, std=2.664, absmax=13.06 +2025-11-04 13:51:58,562 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=9.467, mean=-0.2305, std=2.541, absmax=13.46 +2025-11-04 13:51:58,919 ERROR: Encountered non-finite generator loss at iter 25208; skipping update. +2025-11-04 13:51:58,920 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,921 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,921 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:58,921 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:58,922 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=13.26, mean=0.1091, std=3.361, absmax=13.26 +2025-11-04 13:51:58,922 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=13.18, mean=0.1314, std=3.204, absmax=13.18 +2025-11-04 13:51:59,279 ERROR: Encountered non-finite generator loss at iter 25209; skipping update. +2025-11-04 13:51:59,280 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:59,281 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:59,281 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:59,281 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:59,282 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=16.26, mean=0.1608, std=3.475, absmax=16.26 +2025-11-04 13:51:59,283 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=14.69, mean=0.1461, std=3.263, absmax=14.69 +2025-11-04 13:51:59,639 ERROR: Encountered non-finite generator loss at iter 25210; skipping update. +2025-11-04 13:51:59,640 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:59,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:51:59,641 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:51:59,641 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:51:59,642 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=14.8, mean=-0.1806, std=3.078, absmax=14.8 +2025-11-04 13:51:59,642 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.01, max=11.55, mean=-0.1323, std=2.809, absmax=11.55 +2025-11-04 13:51:59,999 ERROR: Encountered non-finite generator loss at iter 25211; skipping update. +2025-11-04 13:52:00,001 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,002 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,004 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:00,004 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.4, mean=-0.1278, std=2.892, absmax=12.4 +2025-11-04 13:52:00,005 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.8, max=11.17, mean=-0.08057, std=2.713, absmax=11.17 +2025-11-04 13:52:00,364 ERROR: Encountered non-finite generator loss at iter 25212; skipping update. +2025-11-04 13:52:00,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,366 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:00,367 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.56, max=13.01, mean=0.03257, std=2.89, absmax=13.01 +2025-11-04 13:52:00,368 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.36, max=11.53, mean=0.1042, std=2.797, absmax=11.53 +2025-11-04 13:52:00,727 ERROR: Encountered non-finite generator loss at iter 25213; skipping update. +2025-11-04 13:52:00,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,729 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:00,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:00,730 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=14.38, mean=-0.309, std=3.15, absmax=14.38 +2025-11-04 13:52:00,731 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=11.95, mean=-0.2645, std=3.026, absmax=13.18 +2025-11-04 13:52:01,089 ERROR: Encountered non-finite generator loss at iter 25214; skipping update. +2025-11-04 13:52:01,090 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,091 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,092 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:01,092 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=12.78, mean=-0.4715, std=3.46, absmax=13.65 +2025-11-04 13:52:01,093 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=10.25, mean=-0.442, std=3.186, absmax=12.6 +2025-11-04 13:52:01,454 ERROR: Encountered non-finite generator loss at iter 25215; skipping update. +2025-11-04 13:52:01,455 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,456 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,456 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:01,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.36, mean=-0.07671, std=3.247, absmax=12.36 +2025-11-04 13:52:01,458 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=10.9, mean=-0.09568, std=3.083, absmax=11.26 +2025-11-04 13:52:01,816 ERROR: Encountered non-finite generator loss at iter 25216; skipping update. +2025-11-04 13:52:01,817 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:01,817 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:01,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.65, mean=-0.2104, std=2.737, absmax=11.76 +2025-11-04 13:52:01,819 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.22, max=11.05, mean=-0.1626, std=2.597, absmax=11.22 +2025-11-04 13:52:02,174 ERROR: Encountered non-finite generator loss at iter 25217; skipping update. +2025-11-04 13:52:02,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,176 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,176 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:02,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.34, mean=-0.3135, std=2.989, absmax=12.57 +2025-11-04 13:52:02,177 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=9.861, mean=-0.3278, std=2.805, absmax=12.34 +2025-11-04 13:52:02,534 ERROR: Encountered non-finite generator loss at iter 25218; skipping update. +2025-11-04 13:52:02,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,535 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:02,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.64, mean=-0.2172, std=2.84, absmax=12.41 +2025-11-04 13:52:02,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=10.88, mean=-0.1691, std=2.684, absmax=11.03 +2025-11-04 13:52:02,892 ERROR: Encountered non-finite generator loss at iter 25219; skipping update. +2025-11-04 13:52:02,893 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,893 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:02,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:02,894 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.33, max=12.97, mean=0.06296, std=2.902, absmax=12.97 +2025-11-04 13:52:02,895 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.991, max=11.68, mean=0.05148, std=2.711, absmax=11.68 +2025-11-04 13:52:03,251 ERROR: Encountered non-finite generator loss at iter 25220; skipping update. +2025-11-04 13:52:03,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:03,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=10.31, mean=-0.2356, std=2.78, absmax=13.29 +2025-11-04 13:52:03,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=8.954, mean=-0.2801, std=2.626, absmax=11.9 +2025-11-04 13:52:03,611 ERROR: Encountered non-finite generator loss at iter 25221; skipping update. +2025-11-04 13:52:03,611 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,612 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,612 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:03,613 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=15.7, mean=-0.3054, std=3.02, absmax=15.7 +2025-11-04 13:52:03,613 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=12.66, mean=-0.3011, std=2.826, absmax=12.66 +2025-11-04 13:52:03,970 ERROR: Encountered non-finite generator loss at iter 25222; skipping update. +2025-11-04 13:52:03,970 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,971 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:03,971 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:03,972 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.56, mean=-0.08131, std=2.982, absmax=12.56 +2025-11-04 13:52:03,972 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=11.08, mean=-0.08039, std=2.697, absmax=11.09 +2025-11-04 13:52:04,329 ERROR: Encountered non-finite generator loss at iter 25223; skipping update. +2025-11-04 13:52:04,330 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:04,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:04,331 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:04,331 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:04,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.66, mean=-0.1116, std=3.12, absmax=12.66 +2025-11-04 13:52:04,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=12.36, mean=-0.128, std=2.894, absmax=12.36 +2025-11-04 13:52:04,689 ERROR: Encountered non-finite generator loss at iter 25224; skipping update. +2025-11-04 13:52:04,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:04,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:04,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:04,690 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:04,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=13.33, mean=-0.3226, std=3.675, absmax=14.68 +2025-11-04 13:52:04,691 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.47, max=11.31, mean=-0.3159, std=3.527, absmax=13.47 +2025-11-04 13:52:05,048 ERROR: Encountered non-finite generator loss at iter 25225; skipping update. +2025-11-04 13:52:05,049 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:05,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=11.8, mean=-0.2106, std=3.412, absmax=14.16 +2025-11-04 13:52:05,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=11.24, mean=-0.1783, std=3.22, absmax=12.97 +2025-11-04 13:52:05,409 ERROR: Encountered non-finite generator loss at iter 25226; skipping update. +2025-11-04 13:52:05,410 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,411 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,411 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,411 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:05,412 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.34, max=14.8, mean=-0.177, std=2.933, absmax=15.34 +2025-11-04 13:52:05,413 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.41, max=10.92, mean=-0.1677, std=2.735, absmax=12.41 +2025-11-04 13:52:05,769 ERROR: Encountered non-finite generator loss at iter 25227; skipping update. +2025-11-04 13:52:05,770 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,771 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:05,771 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:05,772 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.06, max=14.39, mean=-0.3245, std=3.001, absmax=14.39 +2025-11-04 13:52:05,773 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=12.89, mean=-0.3083, std=2.849, absmax=12.89 +2025-11-04 13:52:06,130 ERROR: Encountered non-finite generator loss at iter 25228; skipping update. +2025-11-04 13:52:06,131 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,131 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,131 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,132 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:06,132 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=15.16, mean=-0.03375, std=3.435, absmax=15.16 +2025-11-04 13:52:06,133 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.479, max=15.04, mean=0.003861, std=3.269, absmax=15.04 +2025-11-04 13:52:06,490 ERROR: Encountered non-finite generator loss at iter 25229; skipping update. +2025-11-04 13:52:06,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,491 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,492 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:06,492 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=13.28, mean=0.0442, std=3.419, absmax=13.28 +2025-11-04 13:52:06,493 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=13.28, mean=0.07041, std=3.151, absmax=13.28 +2025-11-04 13:52:06,850 ERROR: Encountered non-finite generator loss at iter 25230; skipping update. +2025-11-04 13:52:06,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,852 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:06,852 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:06,853 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.81, mean=-0.06709, std=2.831, absmax=13.29 +2025-11-04 13:52:06,853 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.14, max=11.34, mean=-0.08203, std=2.647, absmax=12.14 +2025-11-04 13:52:07,210 ERROR: Encountered non-finite generator loss at iter 25231; skipping update. +2025-11-04 13:52:07,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,212 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:07,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.17, max=14.49, mean=-0.09795, std=2.926, absmax=14.49 +2025-11-04 13:52:07,213 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.59, max=13.49, mean=-0.1038, std=2.658, absmax=13.49 +2025-11-04 13:52:07,569 ERROR: Encountered non-finite generator loss at iter 25232; skipping update. +2025-11-04 13:52:07,570 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,571 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:07,572 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.31, max=14.72, mean=-0.07799, std=3.196, absmax=14.72 +2025-11-04 13:52:07,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.77, max=14.21, mean=-0.0338, std=3.003, absmax=14.21 +2025-11-04 13:52:07,930 ERROR: Encountered non-finite generator loss at iter 25233; skipping update. +2025-11-04 13:52:07,931 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,931 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:07,932 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:07,933 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.21, max=15.32, mean=-0.1711, std=2.998, absmax=15.32 +2025-11-04 13:52:07,933 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=11.74, mean=-0.1741, std=2.755, absmax=11.74 +2025-11-04 13:52:08,291 ERROR: Encountered non-finite generator loss at iter 25234; skipping update. +2025-11-04 13:52:08,292 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:08,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:08,293 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:08,293 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:08,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=17.3, mean=-0.3369, std=2.849, absmax=17.3 +2025-11-04 13:52:08,295 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.2, max=16.53, mean=-0.3579, std=2.744, absmax=16.53 +2025-11-04 13:52:08,652 ERROR: Encountered non-finite generator loss at iter 25235; skipping update. +2025-11-04 13:52:08,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:08,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:08,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:08,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:08,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=15.08, mean=-0.2112, std=3.583, absmax=15.08 +2025-11-04 13:52:08,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=15.02, mean=-0.1815, std=3.392, absmax=15.02 +2025-11-04 13:52:09,012 ERROR: Encountered non-finite generator loss at iter 25236; skipping update. +2025-11-04 13:52:09,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,014 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:09,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.2, mean=-0.01211, std=3.191, absmax=13.2 +2025-11-04 13:52:09,016 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=12.52, mean=-0.003444, std=3.063, absmax=12.52 +2025-11-04 13:52:09,373 ERROR: Encountered non-finite generator loss at iter 25237; skipping update. +2025-11-04 13:52:09,374 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,375 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,375 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:09,376 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=12.79, mean=-0.1746, std=3.459, absmax=14.6 +2025-11-04 13:52:09,377 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.06, max=10.06, mean=-0.1641, std=3.187, absmax=14.06 +2025-11-04 13:52:09,735 ERROR: Encountered non-finite generator loss at iter 25238; skipping update. +2025-11-04 13:52:09,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:09,737 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:09,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.53, max=15.06, mean=0.105, std=3.118, absmax=15.06 +2025-11-04 13:52:09,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=14.64, mean=0.1092, std=2.875, absmax=14.64 +2025-11-04 13:52:10,095 ERROR: Encountered non-finite generator loss at iter 25239; skipping update. +2025-11-04 13:52:10,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,097 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,097 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:10,098 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.35, max=11.97, mean=-0.1869, std=3.102, absmax=13.35 +2025-11-04 13:52:10,098 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=10.96, mean=-0.2156, std=2.882, absmax=10.96 +2025-11-04 13:52:10,455 ERROR: Encountered non-finite generator loss at iter 25240; skipping update. +2025-11-04 13:52:10,456 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,457 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,457 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,458 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:10,458 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.76, max=11.98, mean=0.04554, std=2.735, absmax=11.98 +2025-11-04 13:52:10,459 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.224, max=10.97, mean=-0.008373, std=2.574, absmax=10.97 +2025-11-04 13:52:10,815 ERROR: Encountered non-finite generator loss at iter 25241; skipping update. +2025-11-04 13:52:10,816 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,817 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,817 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:10,818 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:10,818 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.25, max=13.45, mean=-0.1908, std=3.288, absmax=14.25 +2025-11-04 13:52:10,819 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.81, max=11.15, mean=-0.1402, std=3.085, absmax=13.81 +2025-11-04 13:52:11,176 ERROR: Encountered non-finite generator loss at iter 25242; skipping update. +2025-11-04 13:52:11,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,178 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:11,179 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=10.67, mean=-0.2054, std=2.89, absmax=13.74 +2025-11-04 13:52:11,180 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.94, max=9.408, mean=-0.247, std=2.746, absmax=13.94 +2025-11-04 13:52:11,536 ERROR: Encountered non-finite generator loss at iter 25243; skipping update. +2025-11-04 13:52:11,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,538 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,539 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:11,540 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=15.79, mean=-0.03966, std=3.083, absmax=15.79 +2025-11-04 13:52:11,540 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=12.97, mean=-0.02029, std=2.869, absmax=12.97 +2025-11-04 13:52:11,897 ERROR: Encountered non-finite generator loss at iter 25244; skipping update. +2025-11-04 13:52:11,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,898 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,899 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:11,899 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:11,900 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=15.92, mean=-0.06581, std=3.106, absmax=15.92 +2025-11-04 13:52:11,900 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.48, max=12.32, mean=-0.03864, std=2.801, absmax=12.32 +2025-11-04 13:52:12,257 ERROR: Encountered non-finite generator loss at iter 25245; skipping update. +2025-11-04 13:52:12,258 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,259 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,259 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:12,259 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=13.23, mean=-0.144, std=2.86, absmax=13.23 +2025-11-04 13:52:12,260 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.48, mean=-0.1263, std=2.701, absmax=11.48 +2025-11-04 13:52:12,618 ERROR: Encountered non-finite generator loss at iter 25246; skipping update. +2025-11-04 13:52:12,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,620 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:12,621 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=11.59, mean=-0.2991, std=2.661, absmax=15.11 +2025-11-04 13:52:12,621 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=11.15, mean=-0.289, std=2.522, absmax=12.3 +2025-11-04 13:52:12,978 ERROR: Encountered non-finite generator loss at iter 25247; skipping update. +2025-11-04 13:52:12,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,980 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:12,980 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:12,981 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=11.11, mean=-0.1126, std=3.02, absmax=13.09 +2025-11-04 13:52:12,982 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=9.587, mean=-0.1255, std=2.792, absmax=11.53 +2025-11-04 13:52:13,339 ERROR: Encountered non-finite generator loss at iter 25248; skipping update. +2025-11-04 13:52:13,340 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:13,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:13,341 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:13,341 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:13,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.12, max=10.03, mean=-0.2069, std=2.245, absmax=10.12 +2025-11-04 13:52:13,342 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.117, max=9.189, mean=-0.1805, std=2.137, absmax=9.189 +2025-11-04 13:52:13,699 ERROR: Encountered non-finite generator loss at iter 25249; skipping update. +2025-11-04 13:52:13,700 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:13,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:13,701 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:13,701 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:13,702 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.18, mean=-0.08831, std=2.88, absmax=13.18 +2025-11-04 13:52:13,702 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.96, max=11.52, mean=-0.0847, std=2.682, absmax=11.52 +2025-11-04 13:52:14,059 ERROR: Encountered non-finite generator loss at iter 25250; skipping update. +2025-11-04 13:52:14,060 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,061 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,061 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,061 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:14,062 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=12.78, mean=-0.2157, std=2.553, absmax=13.09 +2025-11-04 13:52:14,062 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.12, mean=-0.1855, std=2.398, absmax=11.15 +2025-11-04 13:52:14,419 ERROR: Encountered non-finite generator loss at iter 25251; skipping update. +2025-11-04 13:52:14,420 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,421 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,421 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:14,422 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.31, max=12.33, mean=-0.07832, std=2.851, absmax=12.33 +2025-11-04 13:52:14,422 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.44, max=10.21, mean=-0.1198, std=2.616, absmax=12.44 +2025-11-04 13:52:14,779 ERROR: Encountered non-finite generator loss at iter 25252; skipping update. +2025-11-04 13:52:14,780 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,781 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,781 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:14,782 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:14,782 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=15.07, mean=-0.2438, std=2.971, absmax=15.07 +2025-11-04 13:52:14,783 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=13.37, mean=-0.2115, std=2.851, absmax=13.37 +2025-11-04 13:52:15,140 ERROR: Encountered non-finite generator loss at iter 25253; skipping update. +2025-11-04 13:52:15,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,141 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,142 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:15,143 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=12.95, mean=-0.0635, std=3.043, absmax=12.95 +2025-11-04 13:52:15,143 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.6, max=11.07, mean=-0.05588, std=2.786, absmax=11.07 +2025-11-04 13:52:15,501 ERROR: Encountered non-finite generator loss at iter 25254; skipping update. +2025-11-04 13:52:15,502 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,502 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,503 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,503 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:15,504 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=14.69, mean=-0.2198, std=3.401, absmax=14.69 +2025-11-04 13:52:15,504 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=11.6, mean=-0.2082, std=3.068, absmax=11.6 +2025-11-04 13:52:15,861 ERROR: Encountered non-finite generator loss at iter 25255; skipping update. +2025-11-04 13:52:15,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,862 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:15,863 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:15,863 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.39, mean=-0.2179, std=2.85, absmax=13.39 +2025-11-04 13:52:15,864 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.95, mean=-0.1727, std=2.687, absmax=11.95 +2025-11-04 13:52:16,221 ERROR: Encountered non-finite generator loss at iter 25256; skipping update. +2025-11-04 13:52:16,222 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,222 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,223 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,223 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:16,224 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=16.12, mean=-0.08588, std=2.982, absmax=16.12 +2025-11-04 13:52:16,224 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=13.66, mean=-0.08741, std=2.697, absmax=13.66 +2025-11-04 13:52:16,581 ERROR: Encountered non-finite generator loss at iter 25257; skipping update. +2025-11-04 13:52:16,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,583 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:16,584 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=16.56, mean=-0.2699, std=2.95, absmax=16.56 +2025-11-04 13:52:16,584 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=14.67, mean=-0.2841, std=2.787, absmax=14.67 +2025-11-04 13:52:16,941 ERROR: Encountered non-finite generator loss at iter 25258; skipping update. +2025-11-04 13:52:16,943 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,943 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,943 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:16,944 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:16,944 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=12.53, mean=-0.2217, std=2.743, absmax=13.5 +2025-11-04 13:52:16,945 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=11, mean=-0.2256, std=2.593, absmax=12.94 +2025-11-04 13:52:17,303 ERROR: Encountered non-finite generator loss at iter 25259; skipping update. +2025-11-04 13:52:17,304 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:17,305 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:17,305 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:17,305 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:17,306 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=11.01, mean=-0.1607, std=3.063, absmax=12.51 +2025-11-04 13:52:17,307 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.85, max=9.991, mean=-0.1497, std=2.815, absmax=10.85 +2025-11-04 13:52:17,664 ERROR: Encountered non-finite generator loss at iter 25260; skipping update. +2025-11-04 13:52:17,665 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:17,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:17,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:17,666 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:17,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.98, max=12.47, mean=-0.1971, std=3.135, absmax=12.98 +2025-11-04 13:52:17,667 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=10.64, mean=-0.1916, std=2.845, absmax=11.61 +2025-11-04 13:52:18,024 ERROR: Encountered non-finite generator loss at iter 25261; skipping update. +2025-11-04 13:52:18,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,027 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:18,027 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.89, mean=-0.1113, std=2.503, absmax=12.32 +2025-11-04 13:52:18,028 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.3, mean=-0.1065, std=2.311, absmax=10.68 +2025-11-04 13:52:18,386 ERROR: Encountered non-finite generator loss at iter 25262; skipping update. +2025-11-04 13:52:18,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:18,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=14.12, mean=-0.2156, std=2.997, absmax=14.12 +2025-11-04 13:52:18,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=11.65, mean=-0.176, std=2.714, absmax=11.65 +2025-11-04 13:52:18,746 ERROR: Encountered non-finite generator loss at iter 25263; skipping update. +2025-11-04 13:52:18,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:18,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:18,749 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=15.08, mean=-0.004704, std=2.992, absmax=15.08 +2025-11-04 13:52:18,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=13.73, mean=-0.01855, std=2.774, absmax=13.73 +2025-11-04 13:52:19,108 ERROR: Encountered non-finite generator loss at iter 25264; skipping update. +2025-11-04 13:52:19,109 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,110 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,110 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:19,111 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.24, max=15.16, mean=0.04848, std=3.56, absmax=15.16 +2025-11-04 13:52:19,111 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=15.04, mean=0.06178, std=3.381, absmax=15.04 +2025-11-04 13:52:19,468 ERROR: Encountered non-finite generator loss at iter 25265; skipping update. +2025-11-04 13:52:19,469 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,469 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,470 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,470 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:19,471 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.01, mean=-0.1597, std=2.746, absmax=12.01 +2025-11-04 13:52:19,471 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=9.887, mean=-0.1229, std=2.533, absmax=10.79 +2025-11-04 13:52:19,829 ERROR: Encountered non-finite generator loss at iter 25266; skipping update. +2025-11-04 13:52:19,830 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,830 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,831 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:19,831 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:19,832 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=10.71, mean=-0.04513, std=2.897, absmax=13.68 +2025-11-04 13:52:19,832 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=10.06, mean=-0.02303, std=2.645, absmax=10.95 +2025-11-04 13:52:20,189 ERROR: Encountered non-finite generator loss at iter 25267; skipping update. +2025-11-04 13:52:20,190 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,190 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,191 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,191 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:20,192 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.5, max=14.16, mean=-0.06616, std=2.879, absmax=14.16 +2025-11-04 13:52:20,192 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=11.63, mean=-0.09211, std=2.654, absmax=11.63 +2025-11-04 13:52:20,550 ERROR: Encountered non-finite generator loss at iter 25268; skipping update. +2025-11-04 13:52:20,551 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,552 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,552 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:20,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=16.49, mean=0.1442, std=3.419, absmax=16.49 +2025-11-04 13:52:20,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=13.96, mean=0.1415, std=3.19, absmax=13.96 +2025-11-04 13:52:20,911 ERROR: Encountered non-finite generator loss at iter 25269; skipping update. +2025-11-04 13:52:20,912 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,912 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,912 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:20,913 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:20,913 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=12.29, mean=-0.01341, std=3.09, absmax=12.96 +2025-11-04 13:52:20,914 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=11.34, mean=-0.02717, std=2.841, absmax=12.64 +2025-11-04 13:52:21,271 ERROR: Encountered non-finite generator loss at iter 25270; skipping update. +2025-11-04 13:52:21,272 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,273 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:21,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.42, mean=0.00424, std=2.901, absmax=13.42 +2025-11-04 13:52:21,274 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=11.77, mean=-0.005829, std=2.717, absmax=11.77 +2025-11-04 13:52:21,631 ERROR: Encountered non-finite generator loss at iter 25271; skipping update. +2025-11-04 13:52:21,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,633 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:21,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.43, mean=-0.1648, std=2.811, absmax=12.99 +2025-11-04 13:52:21,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=10.52, mean=-0.128, std=2.662, absmax=11.05 +2025-11-04 13:52:21,991 ERROR: Encountered non-finite generator loss at iter 25272; skipping update. +2025-11-04 13:52:21,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:21,993 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:21,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.36, max=14.07, mean=-0.3541, std=2.772, absmax=15.36 +2025-11-04 13:52:21,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.86, max=12.79, mean=-0.3356, std=2.677, absmax=12.86 +2025-11-04 13:52:22,352 ERROR: Encountered non-finite generator loss at iter 25273; skipping update. +2025-11-04 13:52:22,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:22,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:22,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:22,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:22,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=15.24, mean=-0.1811, std=2.849, absmax=15.24 +2025-11-04 13:52:22,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.58, max=15.23, mean=-0.207, std=2.643, absmax=15.23 +2025-11-04 13:52:22,713 ERROR: Encountered non-finite generator loss at iter 25274; skipping update. +2025-11-04 13:52:22,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:22,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:22,715 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:22,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:22,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.38, mean=-0.2975, std=3.261, absmax=13.57 +2025-11-04 13:52:22,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.16, max=10.05, mean=-0.2923, std=2.991, absmax=13.16 +2025-11-04 13:52:23,073 ERROR: Encountered non-finite generator loss at iter 25275; skipping update. +2025-11-04 13:52:23,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,075 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:23,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=11.27, mean=-0.03293, std=3.013, absmax=12.01 +2025-11-04 13:52:23,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.69, max=10.91, mean=-0.06575, std=2.847, absmax=10.91 +2025-11-04 13:52:23,433 ERROR: Encountered non-finite generator loss at iter 25276; skipping update. +2025-11-04 13:52:23,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:23,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.84, mean=-0.1392, std=2.858, absmax=12.84 +2025-11-04 13:52:23,436 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.17, max=12.43, mean=-0.0898, std=2.743, absmax=12.43 +2025-11-04 13:52:23,793 ERROR: Encountered non-finite generator loss at iter 25277; skipping update. +2025-11-04 13:52:23,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,795 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:23,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:23,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=12.89, mean=-0.064, std=2.583, absmax=12.89 +2025-11-04 13:52:23,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=11.77, mean=-0.058, std=2.373, absmax=11.77 +2025-11-04 13:52:24,154 ERROR: Encountered non-finite generator loss at iter 25278; skipping update. +2025-11-04 13:52:24,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:24,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=13.9, mean=-0.1939, std=2.911, absmax=13.9 +2025-11-04 13:52:24,158 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.31, max=12.99, mean=-0.1911, std=2.591, absmax=12.99 +2025-11-04 13:52:24,515 ERROR: Encountered non-finite generator loss at iter 25279; skipping update. +2025-11-04 13:52:24,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,517 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,517 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:24,518 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=12.39, mean=0.01089, std=3.117, absmax=12.39 +2025-11-04 13:52:24,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=12.24, mean=0.03676, std=3.06, absmax=12.24 +2025-11-04 13:52:24,875 ERROR: Encountered non-finite generator loss at iter 25280; skipping update. +2025-11-04 13:52:24,876 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,877 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,877 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:24,877 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:24,878 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.3, mean=0.02755, std=3.097, absmax=13.57 +2025-11-04 13:52:24,878 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=11.83, mean=0.0109, std=2.941, absmax=13.03 +2025-11-04 13:52:25,236 ERROR: Encountered non-finite generator loss at iter 25281; skipping update. +2025-11-04 13:52:25,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,238 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:25,238 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=11.69, mean=-0.2953, std=3.517, absmax=14.68 +2025-11-04 13:52:25,239 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.09, max=10.85, mean=-0.2621, std=3.322, absmax=14.09 +2025-11-04 13:52:25,595 ERROR: Encountered non-finite generator loss at iter 25282; skipping update. +2025-11-04 13:52:25,596 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,596 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,597 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:25,597 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.52, max=15.65, mean=-0.1818, std=3.041, absmax=15.65 +2025-11-04 13:52:25,598 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=11.46, mean=-0.1443, std=2.927, absmax=12.11 +2025-11-04 13:52:25,955 ERROR: Encountered non-finite generator loss at iter 25283; skipping update. +2025-11-04 13:52:25,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,957 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,957 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:25,957 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:25,958 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.69, max=11.02, mean=-0.196, std=2.33, absmax=11.02 +2025-11-04 13:52:25,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-8.978, max=9.018, mean=-0.1869, std=2.123, absmax=9.018 +2025-11-04 13:52:26,316 ERROR: Encountered non-finite generator loss at iter 25284; skipping update. +2025-11-04 13:52:26,317 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:26,318 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:26,318 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:26,318 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:26,319 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.88, max=14.67, mean=-0.2409, std=3.203, absmax=14.67 +2025-11-04 13:52:26,319 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.26, max=11.47, mean=-0.2327, std=3.007, absmax=13.26 +2025-11-04 13:52:26,676 ERROR: Encountered non-finite generator loss at iter 25285; skipping update. +2025-11-04 13:52:26,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:26,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:26,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:26,677 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:26,678 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.79, max=13.24, mean=-0.1334, std=3.689, absmax=13.79 +2025-11-04 13:52:26,679 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.58, max=12.37, mean=-0.08927, std=3.521, absmax=13.58 +2025-11-04 13:52:27,036 ERROR: Encountered non-finite generator loss at iter 25286; skipping update. +2025-11-04 13:52:27,037 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,038 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,038 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:27,039 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.26, max=12.54, mean=-0.1527, std=2.782, absmax=12.54 +2025-11-04 13:52:27,039 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.15, max=12.2, mean=-0.1028, std=2.62, absmax=12.2 +2025-11-04 13:52:27,396 ERROR: Encountered non-finite generator loss at iter 25287; skipping update. +2025-11-04 13:52:27,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,398 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,398 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,398 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:27,399 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=11.51, mean=-0.102, std=2.857, absmax=11.73 +2025-11-04 13:52:27,400 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.4, mean=-0.118, std=2.669, absmax=11.65 +2025-11-04 13:52:27,757 ERROR: Encountered non-finite generator loss at iter 25288; skipping update. +2025-11-04 13:52:27,758 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,758 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,758 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:27,759 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:27,759 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.83, max=12.8, mean=-0.1047, std=2.78, absmax=12.8 +2025-11-04 13:52:27,760 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=11, mean=-0.1325, std=2.585, absmax=11 +2025-11-04 13:52:28,116 ERROR: Encountered non-finite generator loss at iter 25289; skipping update. +2025-11-04 13:52:28,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,118 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:28,119 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.88, mean=-0.2408, std=3.066, absmax=13.88 +2025-11-04 13:52:28,120 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=12.18, mean=-0.2009, std=2.797, absmax=12.18 +2025-11-04 13:52:28,476 ERROR: Encountered non-finite generator loss at iter 25290; skipping update. +2025-11-04 13:52:28,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,478 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,479 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:28,479 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=14.63, mean=-0.2802, std=3.1, absmax=14.63 +2025-11-04 13:52:28,480 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=13.81, mean=-0.264, std=2.849, absmax=13.81 +2025-11-04 13:52:28,836 ERROR: Encountered non-finite generator loss at iter 25291; skipping update. +2025-11-04 13:52:28,837 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,838 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,838 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:28,838 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:28,839 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=11.63, mean=-0.1384, std=2.507, absmax=14.18 +2025-11-04 13:52:28,840 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=11.34, mean=-0.1294, std=2.34, absmax=11.34 +2025-11-04 13:52:29,197 ERROR: Encountered non-finite generator loss at iter 25292; skipping update. +2025-11-04 13:52:29,197 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,198 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:29,199 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.76, mean=-0.03461, std=3.277, absmax=13.76 +2025-11-04 13:52:29,199 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=12.75, mean=-0.02506, std=3.061, absmax=12.75 +2025-11-04 13:52:29,556 ERROR: Encountered non-finite generator loss at iter 25293; skipping update. +2025-11-04 13:52:29,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,557 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:29,558 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.46, max=16.41, mean=0.08293, std=3.27, absmax=16.41 +2025-11-04 13:52:29,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.46, max=14.92, mean=0.1054, std=2.94, absmax=14.92 +2025-11-04 13:52:29,916 ERROR: Encountered non-finite generator loss at iter 25294; skipping update. +2025-11-04 13:52:29,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:29,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:29,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.54, mean=-0.122, std=3.159, absmax=14.17 +2025-11-04 13:52:29,919 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.54, max=11.51, mean=-0.1079, std=2.808, absmax=11.54 +2025-11-04 13:52:30,276 ERROR: Encountered non-finite generator loss at iter 25295; skipping update. +2025-11-04 13:52:30,277 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:30,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.59, max=12.55, mean=-0.3222, std=3.283, absmax=14.59 +2025-11-04 13:52:30,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=13.15, mean=-0.2904, std=3.148, absmax=13.37 +2025-11-04 13:52:30,637 ERROR: Encountered non-finite generator loss at iter 25296; skipping update. +2025-11-04 13:52:30,638 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,638 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,639 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:30,639 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=13.14, mean=-0.05309, std=3.175, absmax=14.01 +2025-11-04 13:52:30,640 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=11.91, mean=-0.03392, std=2.988, absmax=11.91 +2025-11-04 13:52:30,996 ERROR: Encountered non-finite generator loss at iter 25297; skipping update. +2025-11-04 13:52:30,997 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,998 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,998 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:30,998 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:30,999 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=14.49, mean=-0.2644, std=3.102, absmax=14.49 +2025-11-04 13:52:31,000 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=12.4, mean=-0.258, std=2.867, absmax=12.4 +2025-11-04 13:52:31,356 ERROR: Encountered non-finite generator loss at iter 25298; skipping update. +2025-11-04 13:52:31,357 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:31,357 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:31,358 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:31,358 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:31,359 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.74, max=12.03, mean=-0.2357, std=2.803, absmax=12.03 +2025-11-04 13:52:31,359 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=13.21, mean=-0.1923, std=2.658, absmax=13.21 +2025-11-04 13:52:31,716 ERROR: Encountered non-finite generator loss at iter 25299; skipping update. +2025-11-04 13:52:31,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:31,717 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:31,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:31,718 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:31,719 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.25, max=11.46, mean=-0.2322, std=2.699, absmax=11.46 +2025-11-04 13:52:31,719 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=11.05, mean=-0.2531, std=2.486, absmax=11.61 +2025-11-04 13:52:32,076 ERROR: Encountered non-finite generator loss at iter 25300; skipping update. +2025-11-04 13:52:32,077 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,077 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,078 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:32,078 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.16, max=13.25, mean=-0.2388, std=2.918, absmax=13.25 +2025-11-04 13:52:32,079 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=11.71, mean=-0.2607, std=2.685, absmax=12.24 +2025-11-04 13:52:32,079 INFO: [38..][epoch: 0, step: 25,300, lr:(2.000e-04,)] [eta: 1 day, 3:08:37, time (data): 0.361 (0.000)] +2025-11-04 13:52:32,436 ERROR: Encountered non-finite generator loss at iter 25301; skipping update. +2025-11-04 13:52:32,437 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,438 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,438 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,438 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:32,439 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.9, max=12.7, mean=-0.2136, std=2.38, absmax=12.7 +2025-11-04 13:52:32,439 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.06, max=10.4, mean=-0.1977, std=2.199, absmax=10.4 +2025-11-04 13:52:32,796 ERROR: Encountered non-finite generator loss at iter 25302; skipping update. +2025-11-04 13:52:32,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,798 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:32,798 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:32,799 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.7, mean=-0.2219, std=3.396, absmax=12.7 +2025-11-04 13:52:32,800 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=10.14, mean=-0.2133, std=3.041, absmax=12.31 +2025-11-04 13:52:33,156 ERROR: Encountered non-finite generator loss at iter 25303; skipping update. +2025-11-04 13:52:33,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:33,162 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.55, max=17.12, mean=-0.1247, std=3.121, absmax=17.12 +2025-11-04 13:52:33,163 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=14.83, mean=-0.1088, std=2.924, absmax=14.83 +2025-11-04 13:52:33,521 ERROR: Encountered non-finite generator loss at iter 25304; skipping update. +2025-11-04 13:52:33,523 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,524 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,524 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:33,525 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.51, max=11.99, mean=-0.1224, std=3.129, absmax=16.51 +2025-11-04 13:52:33,525 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.69, max=11.27, mean=-0.1121, std=2.814, absmax=13.69 +2025-11-04 13:52:33,884 ERROR: Encountered non-finite generator loss at iter 25305; skipping update. +2025-11-04 13:52:33,885 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:33,886 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:33,886 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=13.98, mean=0.003729, std=2.734, absmax=14.12 +2025-11-04 13:52:33,887 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=11.94, mean=0.02959, std=2.447, absmax=11.94 +2025-11-04 13:52:34,244 ERROR: Encountered non-finite generator loss at iter 25306; skipping update. +2025-11-04 13:52:34,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,246 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:34,247 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=19.46, mean=-0.1276, std=3.136, absmax=19.46 +2025-11-04 13:52:34,247 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=16.74, mean=-0.107, std=2.84, absmax=16.74 +2025-11-04 13:52:34,604 ERROR: Encountered non-finite generator loss at iter 25307; skipping update. +2025-11-04 13:52:34,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,606 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,606 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:34,607 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.16, max=14.24, mean=-0.358, std=3.516, absmax=14.24 +2025-11-04 13:52:34,608 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.98, max=13.73, mean=-0.3318, std=3.42, absmax=13.98 +2025-11-04 13:52:34,964 ERROR: Encountered non-finite generator loss at iter 25308; skipping update. +2025-11-04 13:52:34,965 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,966 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,966 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:34,966 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:34,967 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.88, mean=-0.1939, std=3.161, absmax=13.19 +2025-11-04 13:52:34,968 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.7, max=12.79, mean=-0.1868, std=3.161, absmax=13.7 +2025-11-04 13:52:35,325 ERROR: Encountered non-finite generator loss at iter 25309; skipping update. +2025-11-04 13:52:35,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:35,326 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:35,327 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:35,327 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:35,328 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=14.46, mean=0.02336, std=3.214, absmax=14.46 +2025-11-04 13:52:35,329 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=12.72, mean=0.03611, std=3.037, absmax=12.72 +2025-11-04 13:52:35,685 ERROR: Encountered non-finite generator loss at iter 25310; skipping update. +2025-11-04 13:52:35,686 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:35,686 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:35,687 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:35,687 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:35,688 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=12.06, mean=-0.1534, std=2.624, absmax=12.73 +2025-11-04 13:52:35,688 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=10.3, mean=-0.0888, std=2.581, absmax=10.81 +2025-11-04 13:52:36,046 ERROR: Encountered non-finite generator loss at iter 25311; skipping update. +2025-11-04 13:52:36,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,048 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,048 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:36,049 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=12.01, mean=-0.2298, std=2.399, absmax=12.01 +2025-11-04 13:52:36,049 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=11.75, mean=-0.2287, std=2.278, absmax=11.75 +2025-11-04 13:52:36,407 ERROR: Encountered non-finite generator loss at iter 25312; skipping update. +2025-11-04 13:52:36,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,408 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,409 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:36,410 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=14.91, mean=-0.2364, std=2.776, absmax=14.91 +2025-11-04 13:52:36,410 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.95, mean=-0.2148, std=2.595, absmax=11.96 +2025-11-04 13:52:36,767 ERROR: Encountered non-finite generator loss at iter 25313; skipping update. +2025-11-04 13:52:36,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,768 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,768 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:36,769 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:36,769 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.52, mean=-0.1599, std=3.118, absmax=12.69 +2025-11-04 13:52:36,770 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=10.94, mean=-0.2067, std=2.991, absmax=10.94 +2025-11-04 13:52:37,128 ERROR: Encountered non-finite generator loss at iter 25314; skipping update. +2025-11-04 13:52:37,129 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,129 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,130 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,130 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:37,131 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.66, max=12.05, mean=-0.1789, std=2.44, absmax=12.05 +2025-11-04 13:52:37,131 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=10.06, mean=-0.1761, std=2.24, absmax=10.29 +2025-11-04 13:52:37,488 ERROR: Encountered non-finite generator loss at iter 25315; skipping update. +2025-11-04 13:52:37,489 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,489 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,490 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,490 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:37,490 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.48, mean=-0.2423, std=2.733, absmax=12.84 +2025-11-04 13:52:37,491 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=10.92, mean=-0.2068, std=2.578, absmax=11.82 +2025-11-04 13:52:37,848 ERROR: Encountered non-finite generator loss at iter 25316; skipping update. +2025-11-04 13:52:37,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:37,850 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:37,851 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.55, max=9.884, mean=-0.2224, std=2.552, absmax=11.55 +2025-11-04 13:52:37,851 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=10, mean=-0.2092, std=2.349, absmax=10.39 +2025-11-04 13:52:38,209 ERROR: Encountered non-finite generator loss at iter 25317; skipping update. +2025-11-04 13:52:38,209 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,210 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:38,211 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.59, max=13.26, mean=-0.1105, std=2.955, absmax=13.26 +2025-11-04 13:52:38,211 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=11.07, mean=-0.119, std=2.77, absmax=11.8 +2025-11-04 13:52:38,568 ERROR: Encountered non-finite generator loss at iter 25318; skipping update. +2025-11-04 13:52:38,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,569 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,570 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:38,571 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=13.9, mean=-0.2073, std=2.95, absmax=13.9 +2025-11-04 13:52:38,571 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=11.09, mean=-0.1934, std=2.744, absmax=11.55 +2025-11-04 13:52:38,928 ERROR: Encountered non-finite generator loss at iter 25319; skipping update. +2025-11-04 13:52:38,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:38,930 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:38,931 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=13.24, mean=-0.3014, std=3.044, absmax=13.66 +2025-11-04 13:52:38,932 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.99, max=11.99, mean=-0.2523, std=2.75, absmax=12.99 +2025-11-04 13:52:39,289 ERROR: Encountered non-finite generator loss at iter 25320; skipping update. +2025-11-04 13:52:39,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:39,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:39,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:39,291 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:39,291 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=16.57, mean=-0.2164, std=2.906, absmax=16.57 +2025-11-04 13:52:39,292 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.2, max=14.23, mean=-0.2225, std=2.677, absmax=14.23 +2025-11-04 13:52:39,649 ERROR: Encountered non-finite generator loss at iter 25321; skipping update. +2025-11-04 13:52:39,650 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:39,651 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:39,651 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:39,651 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:39,652 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=12.26, mean=-0.1848, std=3.086, absmax=12.26 +2025-11-04 13:52:39,652 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.63, max=10.45, mean=-0.1661, std=2.834, absmax=11.63 +2025-11-04 13:52:40,009 ERROR: Encountered non-finite generator loss at iter 25322; skipping update. +2025-11-04 13:52:40,010 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,011 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,011 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,012 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:40,012 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=17.86, mean=0.006508, std=3.498, absmax=17.86 +2025-11-04 13:52:40,013 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=14.19, mean=-0.00218, std=3.247, absmax=14.19 +2025-11-04 13:52:40,370 ERROR: Encountered non-finite generator loss at iter 25323; skipping update. +2025-11-04 13:52:40,371 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,372 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:40,373 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.56, max=12.53, mean=-0.1526, std=2.923, absmax=12.53 +2025-11-04 13:52:40,373 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.21, max=11.28, mean=-0.1838, std=2.751, absmax=11.28 +2025-11-04 13:52:40,731 ERROR: Encountered non-finite generator loss at iter 25324; skipping update. +2025-11-04 13:52:40,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:40,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:40,733 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=13.28, mean=-0.09585, std=3.064, absmax=13.28 +2025-11-04 13:52:40,734 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.48, mean=-0.1069, std=3.06, absmax=12.02 +2025-11-04 13:52:41,091 ERROR: Encountered non-finite generator loss at iter 25325; skipping update. +2025-11-04 13:52:41,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,093 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:41,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=12.81, mean=-0.036, std=3.185, absmax=12.81 +2025-11-04 13:52:41,094 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=11.33, mean=-0.02934, std=2.979, absmax=12.39 +2025-11-04 13:52:41,451 ERROR: Encountered non-finite generator loss at iter 25326; skipping update. +2025-11-04 13:52:41,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:41,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.09, max=14.41, mean=0.09525, std=3.514, absmax=14.41 +2025-11-04 13:52:41,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=13.95, mean=0.07062, std=3.34, absmax=13.95 +2025-11-04 13:52:41,811 ERROR: Encountered non-finite generator loss at iter 25327; skipping update. +2025-11-04 13:52:41,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,812 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:41,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:41,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=14.14, mean=0.1754, std=3.784, absmax=14.14 +2025-11-04 13:52:41,814 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=14.75, mean=0.1617, std=3.551, absmax=14.75 +2025-11-04 13:52:42,171 ERROR: Encountered non-finite generator loss at iter 25328; skipping update. +2025-11-04 13:52:42,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,173 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,174 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:42,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=15.05, mean=-0.01129, std=3.535, absmax=15.05 +2025-11-04 13:52:42,175 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=13.26, mean=-0.05173, std=3.346, absmax=13.34 +2025-11-04 13:52:42,531 ERROR: Encountered non-finite generator loss at iter 25329; skipping update. +2025-11-04 13:52:42,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:42,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.72, mean=-0.02797, std=2.885, absmax=14.72 +2025-11-04 13:52:42,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=13.42, mean=-0.05125, std=2.68, absmax=13.42 +2025-11-04 13:52:42,891 ERROR: Encountered non-finite generator loss at iter 25330; skipping update. +2025-11-04 13:52:42,892 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:42,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:42,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.43, max=13.86, mean=-0.3823, std=3.584, absmax=15.43 +2025-11-04 13:52:42,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=12.57, mean=-0.3278, std=3.439, absmax=12.62 +2025-11-04 13:52:43,251 ERROR: Encountered non-finite generator loss at iter 25331; skipping update. +2025-11-04 13:52:43,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,253 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:43,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=12.45, mean=0.0499, std=3.03, absmax=12.65 +2025-11-04 13:52:43,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=10.89, mean=0.05621, std=2.749, absmax=11.55 +2025-11-04 13:52:43,611 ERROR: Encountered non-finite generator loss at iter 25332; skipping update. +2025-11-04 13:52:43,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:43,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.22, max=16.91, mean=-0.05575, std=3.005, absmax=16.91 +2025-11-04 13:52:43,614 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=13.48, mean=-0.101, std=2.797, absmax=13.48 +2025-11-04 13:52:43,971 ERROR: Encountered non-finite generator loss at iter 25333; skipping update. +2025-11-04 13:52:43,972 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,972 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:43,973 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:43,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.46, mean=-0.1215, std=3.287, absmax=13.8 +2025-11-04 13:52:43,974 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=11.4, mean=-0.1033, std=3.134, absmax=11.84 +2025-11-04 13:52:44,331 ERROR: Encountered non-finite generator loss at iter 25334; skipping update. +2025-11-04 13:52:44,332 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:44,332 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:44,333 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:44,333 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:44,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=11.34, mean=-0.1166, std=2.805, absmax=12.45 +2025-11-04 13:52:44,334 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=10.69, mean=-0.118, std=2.599, absmax=11.69 +2025-11-04 13:52:44,691 ERROR: Encountered non-finite generator loss at iter 25335; skipping update. +2025-11-04 13:52:44,692 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:44,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:44,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:44,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:44,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=15.09, mean=-0.1699, std=2.835, absmax=15.09 +2025-11-04 13:52:44,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=12.64, mean=-0.1542, std=2.602, absmax=12.64 +2025-11-04 13:52:45,053 ERROR: Encountered non-finite generator loss at iter 25336; skipping update. +2025-11-04 13:52:45,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:45,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=12.31, mean=-0.0918, std=3.039, absmax=12.54 +2025-11-04 13:52:45,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=11.43, mean=-0.04896, std=2.88, absmax=11.46 +2025-11-04 13:52:45,412 ERROR: Encountered non-finite generator loss at iter 25337; skipping update. +2025-11-04 13:52:45,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:45,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.6, max=13.29, mean=-0.1274, std=2.99, absmax=13.6 +2025-11-04 13:52:45,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=11.03, mean=-0.1101, std=2.8, absmax=12.01 +2025-11-04 13:52:45,772 ERROR: Encountered non-finite generator loss at iter 25338; skipping update. +2025-11-04 13:52:45,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:45,774 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:45,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=14.66, mean=0.01483, std=3.422, absmax=14.66 +2025-11-04 13:52:45,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=13.58, mean=0.05322, std=3.214, absmax=13.58 +2025-11-04 13:52:46,132 ERROR: Encountered non-finite generator loss at iter 25339; skipping update. +2025-11-04 13:52:46,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,134 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:46,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=11.04, mean=-0.2367, std=2.539, absmax=12.73 +2025-11-04 13:52:46,135 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=9.974, mean=-0.2474, std=2.474, absmax=12.08 +2025-11-04 13:52:46,492 ERROR: Encountered non-finite generator loss at iter 25340; skipping update. +2025-11-04 13:52:46,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:46,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.87, max=13.38, mean=-0.03811, std=2.663, absmax=13.38 +2025-11-04 13:52:46,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=11.71, mean=-0.0399, std=2.519, absmax=11.71 +2025-11-04 13:52:46,852 ERROR: Encountered non-finite generator loss at iter 25341; skipping update. +2025-11-04 13:52:46,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:46,854 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:46,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=14.89, mean=-0.09975, std=3.531, absmax=14.89 +2025-11-04 13:52:46,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=12.73, mean=-0.09985, std=3.204, absmax=12.73 +2025-11-04 13:52:47,212 ERROR: Encountered non-finite generator loss at iter 25342; skipping update. +2025-11-04 13:52:47,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,214 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:47,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.93, max=14.54, mean=-0.04747, std=2.94, absmax=14.54 +2025-11-04 13:52:47,216 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=14.37, mean=-0.03517, std=2.791, absmax=14.37 +2025-11-04 13:52:47,572 ERROR: Encountered non-finite generator loss at iter 25343; skipping update. +2025-11-04 13:52:47,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,574 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,574 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,574 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:47,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.56, mean=-0.2347, std=2.715, absmax=13.5 +2025-11-04 13:52:47,576 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=10.28, mean=-0.1971, std=2.511, absmax=12.17 +2025-11-04 13:52:47,932 ERROR: Encountered non-finite generator loss at iter 25344; skipping update. +2025-11-04 13:52:47,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:47,934 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:47,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.09, mean=0.1134, std=3.55, absmax=14.09 +2025-11-04 13:52:47,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.02, max=12.63, mean=0.1077, std=3.243, absmax=13.02 +2025-11-04 13:52:48,292 ERROR: Encountered non-finite generator loss at iter 25345; skipping update. +2025-11-04 13:52:48,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:48,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:48,293 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:48,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:48,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.61, mean=-0.02103, std=2.954, absmax=13.58 +2025-11-04 13:52:48,295 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.38, max=11.55, mean=-0.01913, std=2.726, absmax=13.38 +2025-11-04 13:52:48,652 ERROR: Encountered non-finite generator loss at iter 25346; skipping update. +2025-11-04 13:52:48,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:48,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:48,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:48,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:48,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.05, mean=-0.2951, std=3.122, absmax=13.76 +2025-11-04 13:52:48,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=10.48, mean=-0.2605, std=2.871, absmax=12.74 +2025-11-04 13:52:49,012 ERROR: Encountered non-finite generator loss at iter 25347; skipping update. +2025-11-04 13:52:49,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,014 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:49,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.4, max=16.56, mean=0.008372, std=3.065, absmax=16.56 +2025-11-04 13:52:49,016 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.77, max=13.64, mean=0.0066, std=2.799, absmax=13.77 +2025-11-04 13:52:49,372 ERROR: Encountered non-finite generator loss at iter 25348; skipping update. +2025-11-04 13:52:49,373 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:49,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.69, max=14.91, mean=0.2036, std=3.89, absmax=14.91 +2025-11-04 13:52:49,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=14.35, mean=0.1935, std=3.595, absmax=14.35 +2025-11-04 13:52:49,732 ERROR: Encountered non-finite generator loss at iter 25349; skipping update. +2025-11-04 13:52:49,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,734 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:49,734 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:49,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=16.14, mean=-0.3237, std=3.312, absmax=16.14 +2025-11-04 13:52:49,736 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=13.67, mean=-0.258, std=2.96, absmax=13.67 +2025-11-04 13:52:50,092 ERROR: Encountered non-finite generator loss at iter 25350; skipping update. +2025-11-04 13:52:50,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,094 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,094 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:50,095 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.25, max=13.84, mean=-0.2749, std=3.062, absmax=13.84 +2025-11-04 13:52:50,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.76, max=10.93, mean=-0.2281, std=2.783, absmax=11.76 +2025-11-04 13:52:50,451 ERROR: Encountered non-finite generator loss at iter 25351; skipping update. +2025-11-04 13:52:50,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,453 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,453 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:50,454 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=15.66, mean=0.1617, std=3.786, absmax=15.66 +2025-11-04 13:52:50,454 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.31, max=15.04, mean=0.1384, std=3.634, absmax=15.04 +2025-11-04 13:52:50,811 ERROR: Encountered non-finite generator loss at iter 25352; skipping update. +2025-11-04 13:52:50,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:50,813 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:50,814 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.82, max=12.82, mean=-0.02309, std=2.835, absmax=12.82 +2025-11-04 13:52:50,815 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=10.88, mean=-0.04972, std=2.71, absmax=12.37 +2025-11-04 13:52:51,171 ERROR: Encountered non-finite generator loss at iter 25353; skipping update. +2025-11-04 13:52:51,172 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,173 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,173 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:51,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.21, max=12.4, mean=-0.06511, std=2.877, absmax=13.21 +2025-11-04 13:52:51,174 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=11.55, mean=-0.106, std=2.647, absmax=11.55 +2025-11-04 13:52:51,532 ERROR: Encountered non-finite generator loss at iter 25354; skipping update. +2025-11-04 13:52:51,532 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,533 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,533 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:51,534 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=12.23, mean=-0.2372, std=2.434, absmax=12.95 +2025-11-04 13:52:51,534 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.715, max=11.73, mean=-0.2051, std=2.257, absmax=11.73 +2025-11-04 13:52:51,890 ERROR: Encountered non-finite generator loss at iter 25355; skipping update. +2025-11-04 13:52:51,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:51,893 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:51,893 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=16.92, mean=-0.1451, std=3.363, absmax=16.92 +2025-11-04 13:52:51,894 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=14.73, mean=-0.1507, std=3.153, absmax=14.73 +2025-11-04 13:52:52,251 ERROR: Encountered non-finite generator loss at iter 25356; skipping update. +2025-11-04 13:52:52,252 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,253 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:52,254 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16, max=12.64, mean=-0.2869, std=2.997, absmax=16 +2025-11-04 13:52:52,254 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.81, max=11.46, mean=-0.2336, std=2.77, absmax=13.81 +2025-11-04 13:52:52,612 ERROR: Encountered non-finite generator loss at iter 25357; skipping update. +2025-11-04 13:52:52,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:52,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.92, max=14.73, mean=-0.3286, std=2.8, absmax=14.73 +2025-11-04 13:52:52,616 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=13.43, mean=-0.2942, std=2.531, absmax=13.43 +2025-11-04 13:52:52,972 ERROR: Encountered non-finite generator loss at iter 25358; skipping update. +2025-11-04 13:52:52,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:52,975 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:52,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=13.17, mean=-0.3053, std=3.323, absmax=14.38 +2025-11-04 13:52:52,976 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.77, max=10.85, mean=-0.2595, std=3.03, absmax=12.77 +2025-11-04 13:52:53,333 ERROR: Encountered non-finite generator loss at iter 25359; skipping update. +2025-11-04 13:52:53,334 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:53,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:53,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:53,335 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:53,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=10.06, mean=-0.378, std=3.221, absmax=12.56 +2025-11-04 13:52:53,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.12, max=9.751, mean=-0.3798, std=2.998, absmax=14.12 +2025-11-04 13:52:53,692 ERROR: Encountered non-finite generator loss at iter 25360; skipping update. +2025-11-04 13:52:53,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:53,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:53,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:53,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:53,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=12.05, mean=-0.2012, std=2.623, absmax=12.05 +2025-11-04 13:52:53,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=10.99, mean=-0.1934, std=2.559, absmax=10.99 +2025-11-04 13:52:54,052 ERROR: Encountered non-finite generator loss at iter 25361; skipping update. +2025-11-04 13:52:54,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,054 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:54,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=16.32, mean=-0.1878, std=3.484, absmax=16.32 +2025-11-04 13:52:54,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=13.74, mean=-0.2119, std=3.067, absmax=13.74 +2025-11-04 13:52:54,412 ERROR: Encountered non-finite generator loss at iter 25362; skipping update. +2025-11-04 13:52:54,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,414 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,414 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:54,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=13.17, mean=-0.1339, std=2.859, absmax=15.1 +2025-11-04 13:52:54,415 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.04, mean=-0.1285, std=2.559, absmax=12.04 +2025-11-04 13:52:54,772 ERROR: Encountered non-finite generator loss at iter 25363; skipping update. +2025-11-04 13:52:54,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,773 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:54,774 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:54,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.53, mean=-0.2496, std=3.175, absmax=13.23 +2025-11-04 13:52:54,775 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=10.98, mean=-0.2396, std=3.031, absmax=11.7 +2025-11-04 13:52:55,132 ERROR: Encountered non-finite generator loss at iter 25364; skipping update. +2025-11-04 13:52:55,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,135 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:55,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=12.73, mean=-0.2351, std=3.17, absmax=13.43 +2025-11-04 13:52:55,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=11.6, mean=-0.2007, std=2.861, absmax=12.62 +2025-11-04 13:52:55,492 ERROR: Encountered non-finite generator loss at iter 25365; skipping update. +2025-11-04 13:52:55,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:55,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.36, max=13.02, mean=-0.08469, std=3.325, absmax=14.36 +2025-11-04 13:52:55,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.43, max=11.54, mean=-0.07608, std=3.041, absmax=12.43 +2025-11-04 13:52:55,852 ERROR: Encountered non-finite generator loss at iter 25366; skipping update. +2025-11-04 13:52:55,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:55,855 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:55,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=13.65, mean=-0.1589, std=3.42, absmax=13.65 +2025-11-04 13:52:55,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=12.36, mean=-0.1213, std=3.138, absmax=12.57 +2025-11-04 13:52:56,212 ERROR: Encountered non-finite generator loss at iter 25367; skipping update. +2025-11-04 13:52:56,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,214 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,215 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:56,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.66, max=14.98, mean=-0.203, std=2.953, absmax=14.98 +2025-11-04 13:52:56,216 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=11.64, mean=-0.1942, std=2.714, absmax=13.85 +2025-11-04 13:52:56,572 ERROR: Encountered non-finite generator loss at iter 25368; skipping update. +2025-11-04 13:52:56,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,574 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,574 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:56,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.03, mean=-0.06449, std=3.707, absmax=13.3 +2025-11-04 13:52:56,575 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=13.61, mean=-0.0449, std=3.365, absmax=13.61 +2025-11-04 13:52:56,932 ERROR: Encountered non-finite generator loss at iter 25369; skipping update. +2025-11-04 13:52:56,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:56,934 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:56,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.67, max=14.15, mean=-0.07557, std=3.275, absmax=14.15 +2025-11-04 13:52:56,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=12.81, mean=-0.06766, std=3.002, absmax=12.81 +2025-11-04 13:52:57,291 ERROR: Encountered non-finite generator loss at iter 25370; skipping update. +2025-11-04 13:52:57,292 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:57,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:57,293 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:57,293 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:57,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=13.18, mean=-0.3002, std=2.946, absmax=13.27 +2025-11-04 13:52:57,294 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.97, max=9.767, mean=-0.273, std=2.732, absmax=11.97 +2025-11-04 13:52:57,651 ERROR: Encountered non-finite generator loss at iter 25371; skipping update. +2025-11-04 13:52:57,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:57,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:57,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:57,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:57,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.84, max=11.88, mean=-0.2845, std=2.424, absmax=13.84 +2025-11-04 13:52:57,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.22, max=11.31, mean=-0.2987, std=2.269, absmax=12.22 +2025-11-04 13:52:58,012 ERROR: Encountered non-finite generator loss at iter 25372; skipping update. +2025-11-04 13:52:58,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,013 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:58,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.46, max=11.76, mean=-0.298, std=2.731, absmax=11.76 +2025-11-04 13:52:58,015 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=10.87, mean=-0.2698, std=2.567, absmax=11.05 +2025-11-04 13:52:58,371 ERROR: Encountered non-finite generator loss at iter 25373; skipping update. +2025-11-04 13:52:58,372 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,375 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:58,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=17.13, mean=-0.02841, std=3.426, absmax=17.13 +2025-11-04 13:52:58,376 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=15.8, mean=-0.01883, std=3.227, absmax=15.8 +2025-11-04 13:52:58,735 ERROR: Encountered non-finite generator loss at iter 25374; skipping update. +2025-11-04 13:52:58,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:58,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:58,738 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=11.87, mean=-0.1311, std=3.086, absmax=14.27 +2025-11-04 13:52:58,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=11.43, mean=-0.142, std=2.993, absmax=12.61 +2025-11-04 13:52:59,097 ERROR: Encountered non-finite generator loss at iter 25375; skipping update. +2025-11-04 13:52:59,098 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,099 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:59,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=16.57, mean=-0.1623, std=3.002, absmax=16.57 +2025-11-04 13:52:59,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=11.49, mean=-0.1409, std=2.728, absmax=12.07 +2025-11-04 13:52:59,460 ERROR: Encountered non-finite generator loss at iter 25376; skipping update. +2025-11-04 13:52:59,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,463 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:59,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=12.54, mean=-0.2884, std=3.114, absmax=13.76 +2025-11-04 13:52:59,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=12.47, mean=-0.2694, std=3.055, absmax=12.56 +2025-11-04 13:52:59,823 ERROR: Encountered non-finite generator loss at iter 25377; skipping update. +2025-11-04 13:52:59,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:52:59,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:52:59,826 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=11.37, mean=-0.2218, std=2.726, absmax=13.12 +2025-11-04 13:52:59,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=9.435, mean=-0.206, std=2.431, absmax=10.95 +2025-11-04 13:53:00,186 ERROR: Encountered non-finite generator loss at iter 25378; skipping update. +2025-11-04 13:53:00,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,188 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:00,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.77, mean=-0.2686, std=2.67, absmax=12.77 +2025-11-04 13:53:00,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.11, max=11.94, mean=-0.2338, std=2.481, absmax=12.11 +2025-11-04 13:53:00,549 ERROR: Encountered non-finite generator loss at iter 25379; skipping update. +2025-11-04 13:53:00,551 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,552 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:00,553 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.37, max=14.64, mean=0.09965, std=3.528, absmax=15.37 +2025-11-04 13:53:00,554 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.04, max=13.05, mean=0.134, std=3.38, absmax=14.04 +2025-11-04 13:53:00,913 ERROR: Encountered non-finite generator loss at iter 25380; skipping update. +2025-11-04 13:53:00,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:00,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:00,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.89, max=14.75, mean=-0.07883, std=2.702, absmax=14.75 +2025-11-04 13:53:00,917 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=13.1, mean=-0.08405, std=2.428, absmax=13.1 +2025-11-04 13:53:01,275 ERROR: Encountered non-finite generator loss at iter 25381; skipping update. +2025-11-04 13:53:01,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:01,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:01,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:01,278 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:01,279 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=12.5, mean=-0.2235, std=3.135, absmax=15 +2025-11-04 13:53:01,279 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-15.05, max=11.1, mean=-0.2456, std=2.994, absmax=15.05 +2025-11-04 13:53:01,638 ERROR: Encountered non-finite generator loss at iter 25382; skipping update. +2025-11-04 13:53:01,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:01,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:01,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:01,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:01,641 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.23, mean=-0.2245, std=3.372, absmax=13.28 +2025-11-04 13:53:01,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.09, max=12.72, mean=-0.1804, std=3.208, absmax=12.72 +2025-11-04 13:53:01,998 ERROR: Encountered non-finite generator loss at iter 25383; skipping update. +2025-11-04 13:53:01,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:01,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:02,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=13.55, mean=0.04096, std=3.792, absmax=13.55 +2025-11-04 13:53:02,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=12.49, mean=0.005982, std=3.493, absmax=12.49 +2025-11-04 13:53:02,358 ERROR: Encountered non-finite generator loss at iter 25384; skipping update. +2025-11-04 13:53:02,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,359 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:02,360 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.35, mean=-0.1878, std=3.197, absmax=13.8 +2025-11-04 13:53:02,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=12.18, mean=-0.1994, std=2.992, absmax=12.84 +2025-11-04 13:53:02,718 ERROR: Encountered non-finite generator loss at iter 25385; skipping update. +2025-11-04 13:53:02,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,719 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,719 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:02,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:02,720 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.97, max=11.64, mean=-0.2215, std=3.042, absmax=11.97 +2025-11-04 13:53:02,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.18, max=10.57, mean=-0.2273, std=2.844, absmax=11.18 +2025-11-04 13:53:03,078 ERROR: Encountered non-finite generator loss at iter 25386; skipping update. +2025-11-04 13:53:03,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,080 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:03,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=11.46, mean=-0.2629, std=3.29, absmax=13.14 +2025-11-04 13:53:03,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=10.45, mean=-0.2595, std=3.049, absmax=11.58 +2025-11-04 13:53:03,438 ERROR: Encountered non-finite generator loss at iter 25387; skipping update. +2025-11-04 13:53:03,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:03,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.72, max=15.51, mean=-0.2557, std=2.831, absmax=15.51 +2025-11-04 13:53:03,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.9, max=12.5, mean=-0.2642, std=2.68, absmax=12.5 +2025-11-04 13:53:03,798 ERROR: Encountered non-finite generator loss at iter 25388; skipping update. +2025-11-04 13:53:03,799 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,800 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,800 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:03,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:03,801 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.7, max=14.48, mean=-0.2835, std=2.737, absmax=14.48 +2025-11-04 13:53:03,802 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.05, mean=-0.262, std=2.5, absmax=11.53 +2025-11-04 13:53:04,159 ERROR: Encountered non-finite generator loss at iter 25389; skipping update. +2025-11-04 13:53:04,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:04,161 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.64, mean=-0.09656, std=3.466, absmax=13.64 +2025-11-04 13:53:04,162 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=12.37, mean=-0.07533, std=3.121, absmax=12.37 +2025-11-04 13:53:04,519 ERROR: Encountered non-finite generator loss at iter 25390; skipping update. +2025-11-04 13:53:04,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,521 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:04,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=11.65, mean=-0.2818, std=3.327, absmax=12.54 +2025-11-04 13:53:04,522 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.966, mean=-0.2761, std=3.088, absmax=11.67 +2025-11-04 13:53:04,879 ERROR: Encountered non-finite generator loss at iter 25391; skipping update. +2025-11-04 13:53:04,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,881 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:04,881 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:04,882 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.03, max=11.75, mean=-0.1168, std=3.056, absmax=14.03 +2025-11-04 13:53:04,883 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.35, mean=-0.134, std=2.879, absmax=11.83 +2025-11-04 13:53:05,240 ERROR: Encountered non-finite generator loss at iter 25392; skipping update. +2025-11-04 13:53:05,241 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,242 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:05,243 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=15.81, mean=-0.2777, std=2.828, absmax=15.81 +2025-11-04 13:53:05,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.48, max=14.98, mean=-0.245, std=2.669, absmax=14.98 +2025-11-04 13:53:05,601 ERROR: Encountered non-finite generator loss at iter 25393; skipping update. +2025-11-04 13:53:05,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,602 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:05,603 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.54, max=9.768, mean=-0.2443, std=2.318, absmax=10.54 +2025-11-04 13:53:05,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.519, max=8.883, mean=-0.2218, std=2.263, absmax=9.519 +2025-11-04 13:53:05,961 ERROR: Encountered non-finite generator loss at iter 25394; skipping update. +2025-11-04 13:53:05,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,962 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:05,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:05,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=12.04, mean=-0.1073, std=2.821, absmax=12.15 +2025-11-04 13:53:05,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.08, max=9.97, mean=-0.0802, std=2.52, absmax=10.08 +2025-11-04 13:53:06,322 ERROR: Encountered non-finite generator loss at iter 25395; skipping update. +2025-11-04 13:53:06,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:06,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:06,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:06,324 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:06,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.43, max=11.53, mean=-0.001795, std=2.873, absmax=11.53 +2025-11-04 13:53:06,325 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.44, max=10.85, mean=-0.03011, std=2.615, absmax=10.85 +2025-11-04 13:53:06,682 ERROR: Encountered non-finite generator loss at iter 25396; skipping update. +2025-11-04 13:53:06,683 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:06,684 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:06,684 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:06,684 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:06,685 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.9, mean=-0.1308, std=3.259, absmax=13.54 +2025-11-04 13:53:06,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.29, mean=-0.09529, std=3.002, absmax=11.29 +2025-11-04 13:53:07,042 ERROR: Encountered non-finite generator loss at iter 25397; skipping update. +2025-11-04 13:53:07,043 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,044 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:07,045 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.18, max=11.67, mean=-0.1586, std=2.921, absmax=14.18 +2025-11-04 13:53:07,045 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=10.29, mean=-0.1881, std=2.697, absmax=11.86 +2025-11-04 13:53:07,403 ERROR: Encountered non-finite generator loss at iter 25398; skipping update. +2025-11-04 13:53:07,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,405 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:07,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=13.14, mean=0.01131, std=3.02, absmax=13.14 +2025-11-04 13:53:07,406 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=11.19, mean=0.004526, std=2.743, absmax=11.33 +2025-11-04 13:53:07,763 ERROR: Encountered non-finite generator loss at iter 25399; skipping update. +2025-11-04 13:53:07,764 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,765 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,765 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:07,765 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:07,766 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.97, max=12.52, mean=-0.1417, std=2.734, absmax=13.97 +2025-11-04 13:53:07,766 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.972, mean=-0.1185, std=2.51, absmax=11.4 +2025-11-04 13:53:08,124 ERROR: Encountered non-finite generator loss at iter 25400; skipping update. +2025-11-04 13:53:08,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,126 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:08,126 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.48, max=15.89, mean=-0.1368, std=3.585, absmax=15.89 +2025-11-04 13:53:08,127 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.82, max=13.1, mean=-0.1519, std=3.28, absmax=13.82 +2025-11-04 13:53:08,127 INFO: [38..][epoch: 0, step: 25,400, lr:(2.000e-04,)] [eta: 1 day, 3:02:56, time (data): 0.360 (0.000)] +2025-11-04 13:53:08,484 ERROR: Encountered non-finite generator loss at iter 25401; skipping update. +2025-11-04 13:53:08,485 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,486 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,486 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,487 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:08,487 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.44, max=15.1, mean=-0.216, std=3.123, absmax=15.1 +2025-11-04 13:53:08,488 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.55, max=13.04, mean=-0.1886, std=2.854, absmax=13.04 +2025-11-04 13:53:08,845 ERROR: Encountered non-finite generator loss at iter 25402; skipping update. +2025-11-04 13:53:08,846 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,847 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,847 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:08,847 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:08,848 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.08, max=14.52, mean=0.07269, std=3.534, absmax=14.52 +2025-11-04 13:53:08,849 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=11.72, mean=0.04755, std=3.318, absmax=11.72 +2025-11-04 13:53:09,206 ERROR: Encountered non-finite generator loss at iter 25403; skipping update. +2025-11-04 13:53:09,207 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,208 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,208 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:09,209 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.34, mean=-0.1864, std=2.485, absmax=12.34 +2025-11-04 13:53:09,209 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=12.24, mean=-0.1806, std=2.304, absmax=12.24 +2025-11-04 13:53:09,566 ERROR: Encountered non-finite generator loss at iter 25404; skipping update. +2025-11-04 13:53:09,567 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,567 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,568 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,568 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:09,569 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.04, max=13.47, mean=-0.2141, std=3.008, absmax=13.47 +2025-11-04 13:53:09,569 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=11.87, mean=-0.1906, std=2.821, absmax=11.87 +2025-11-04 13:53:09,926 ERROR: Encountered non-finite generator loss at iter 25405; skipping update. +2025-11-04 13:53:09,927 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,927 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,927 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:09,928 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:09,928 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=10.59, mean=-0.3191, std=2.819, absmax=12.83 +2025-11-04 13:53:09,929 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.79, max=9.408, mean=-0.2892, std=2.605, absmax=13.79 +2025-11-04 13:53:10,285 ERROR: Encountered non-finite generator loss at iter 25406; skipping update. +2025-11-04 13:53:10,286 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:10,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:10,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:10,288 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:10,288 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=14, mean=0.03969, std=3.155, absmax=14 +2025-11-04 13:53:10,289 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=13.1, mean=-0.005634, std=2.956, absmax=13.1 +2025-11-04 13:53:10,646 ERROR: Encountered non-finite generator loss at iter 25407; skipping update. +2025-11-04 13:53:10,647 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:10,648 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:10,648 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:10,648 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:10,649 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=13.75, mean=-0.301, std=2.753, absmax=13.75 +2025-11-04 13:53:10,649 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=13.12, mean=-0.2669, std=2.628, absmax=13.12 +2025-11-04 13:53:11,006 ERROR: Encountered non-finite generator loss at iter 25408; skipping update. +2025-11-04 13:53:11,008 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,008 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,008 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,009 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:11,009 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.9, mean=-0.09917, std=2.792, absmax=12.9 +2025-11-04 13:53:11,010 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=10.65, mean=-0.1068, std=2.525, absmax=10.77 +2025-11-04 13:53:11,367 ERROR: Encountered non-finite generator loss at iter 25409; skipping update. +2025-11-04 13:53:11,367 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,368 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:11,369 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=14.37, mean=-0.2506, std=2.77, absmax=14.37 +2025-11-04 13:53:11,369 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=12.41, mean=-0.222, std=2.602, absmax=12.41 +2025-11-04 13:53:11,726 ERROR: Encountered non-finite generator loss at iter 25410; skipping update. +2025-11-04 13:53:11,728 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,728 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,728 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:11,729 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:11,729 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.18, max=12.47, mean=-0.1455, std=3.357, absmax=12.47 +2025-11-04 13:53:11,730 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=12.19, mean=-0.08622, std=3.177, absmax=12.19 +2025-11-04 13:53:12,087 ERROR: Encountered non-finite generator loss at iter 25411; skipping update. +2025-11-04 13:53:12,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,088 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,088 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,089 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:12,089 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=14.1, mean=-0.1905, std=3.4, absmax=14.43 +2025-11-04 13:53:12,090 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.76, max=10.36, mean=-0.1705, std=3.01, absmax=12.76 +2025-11-04 13:53:12,447 ERROR: Encountered non-finite generator loss at iter 25412; skipping update. +2025-11-04 13:53:12,448 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,449 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:12,450 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.25, mean=-0.173, std=2.948, absmax=13.25 +2025-11-04 13:53:12,450 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=12.39, mean=-0.1875, std=2.719, absmax=12.39 +2025-11-04 13:53:12,807 ERROR: Encountered non-finite generator loss at iter 25413; skipping update. +2025-11-04 13:53:12,809 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:12,810 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:12,810 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.55, max=15.39, mean=-0.01863, std=3.217, absmax=15.39 +2025-11-04 13:53:12,811 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=14.73, mean=-0.0186, std=3.076, absmax=14.73 +2025-11-04 13:53:13,168 ERROR: Encountered non-finite generator loss at iter 25414; skipping update. +2025-11-04 13:53:13,169 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,170 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,170 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:13,171 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.67, max=13.66, mean=-0.2303, std=3.088, absmax=13.67 +2025-11-04 13:53:13,171 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.16, max=10.97, mean=-0.1793, std=2.807, absmax=14.16 +2025-11-04 13:53:13,528 ERROR: Encountered non-finite generator loss at iter 25415; skipping update. +2025-11-04 13:53:13,529 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,530 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,530 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,530 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:13,531 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.91, max=12.81, mean=-0.06626, std=2.956, absmax=12.91 +2025-11-04 13:53:13,532 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.51, mean=-0.05643, std=2.644, absmax=11.51 +2025-11-04 13:53:13,889 ERROR: Encountered non-finite generator loss at iter 25416; skipping update. +2025-11-04 13:53:13,890 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,890 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,891 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:13,891 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:13,892 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=11.61, mean=-0.1091, std=2.651, absmax=11.99 +2025-11-04 13:53:13,892 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=10.19, mean=-0.06512, std=2.571, absmax=10.93 +2025-11-04 13:53:14,250 ERROR: Encountered non-finite generator loss at iter 25417; skipping update. +2025-11-04 13:53:14,251 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,251 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,252 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:14,253 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=11.18, mean=-0.2927, std=2.793, absmax=11.71 +2025-11-04 13:53:14,253 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.51, max=8.729, mean=-0.2874, std=2.577, absmax=11.51 +2025-11-04 13:53:14,611 ERROR: Encountered non-finite generator loss at iter 25418; skipping update. +2025-11-04 13:53:14,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,612 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,613 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,613 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:14,614 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=14.94, mean=-0.1801, std=2.85, absmax=14.94 +2025-11-04 13:53:14,614 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=14.54, mean=-0.1723, std=2.756, absmax=14.54 +2025-11-04 13:53:14,971 ERROR: Encountered non-finite generator loss at iter 25419; skipping update. +2025-11-04 13:53:14,972 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,973 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:14,973 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:14,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.82, max=13.48, mean=-0.03394, std=2.823, absmax=13.82 +2025-11-04 13:53:14,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=12.2, mean=-0.06299, std=2.644, absmax=12.2 +2025-11-04 13:53:15,332 ERROR: Encountered non-finite generator loss at iter 25420; skipping update. +2025-11-04 13:53:15,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:15,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:15,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:15,334 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:15,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=13.48, mean=-0.1242, std=3.588, absmax=14.91 +2025-11-04 13:53:15,336 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.24, max=12, mean=-0.07411, std=3.4, absmax=14.24 +2025-11-04 13:53:15,692 ERROR: Encountered non-finite generator loss at iter 25421; skipping update. +2025-11-04 13:53:15,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:15,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:15,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:15,695 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:15,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=10.96, mean=-0.2643, std=3.109, absmax=12.19 +2025-11-04 13:53:15,696 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=10.95, mean=-0.2724, std=2.914, absmax=11.09 +2025-11-04 13:53:16,053 ERROR: Encountered non-finite generator loss at iter 25422; skipping update. +2025-11-04 13:53:16,054 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,054 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:16,055 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.08, max=13.04, mean=0.05833, std=3.172, absmax=16.08 +2025-11-04 13:53:16,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.03, max=12.21, mean=0.06367, std=2.864, absmax=14.03 +2025-11-04 13:53:16,412 ERROR: Encountered non-finite generator loss at iter 25423; skipping update. +2025-11-04 13:53:16,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,414 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,414 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:16,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.17, max=13.15, mean=-0.03836, std=3.596, absmax=13.17 +2025-11-04 13:53:16,415 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.44, max=14.75, mean=-0.02199, std=3.398, absmax=14.75 +2025-11-04 13:53:16,773 ERROR: Encountered non-finite generator loss at iter 25424; skipping update. +2025-11-04 13:53:16,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:16,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:16,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=12.04, mean=-0.2776, std=3.036, absmax=12.05 +2025-11-04 13:53:16,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.23, max=10.38, mean=-0.2613, std=2.791, absmax=11.23 +2025-11-04 13:53:17,132 ERROR: Encountered non-finite generator loss at iter 25425; skipping update. +2025-11-04 13:53:17,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,134 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:17,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.38, max=12.94, mean=-0.2264, std=3.435, absmax=14.38 +2025-11-04 13:53:17,135 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=11.14, mean=-0.2128, std=3.247, absmax=12.6 +2025-11-04 13:53:17,492 ERROR: Encountered non-finite generator loss at iter 25426; skipping update. +2025-11-04 13:53:17,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:17,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=16.96, mean=-0.1034, std=3.201, absmax=16.96 +2025-11-04 13:53:17,496 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.34, max=13.58, mean=-0.1175, std=3.02, absmax=13.58 +2025-11-04 13:53:17,853 ERROR: Encountered non-finite generator loss at iter 25427; skipping update. +2025-11-04 13:53:17,854 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,855 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:17,855 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:17,856 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.73, max=12.99, mean=-0.1327, std=2.69, absmax=12.99 +2025-11-04 13:53:17,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.819, max=11.39, mean=-0.1, std=2.539, absmax=11.39 +2025-11-04 13:53:18,213 ERROR: Encountered non-finite generator loss at iter 25428; skipping update. +2025-11-04 13:53:18,214 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,215 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,215 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:18,216 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=11.43, mean=0.003449, std=2.705, absmax=11.8 +2025-11-04 13:53:18,217 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.82, max=11.18, mean=0.02617, std=2.63, absmax=11.18 +2025-11-04 13:53:18,573 ERROR: Encountered non-finite generator loss at iter 25429; skipping update. +2025-11-04 13:53:18,575 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,575 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,576 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,576 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:18,577 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.11, max=10.42, mean=-0.277, std=2.485, absmax=12.11 +2025-11-04 13:53:18,577 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=8.802, mean=-0.2453, std=2.34, absmax=11.56 +2025-11-04 13:53:18,934 ERROR: Encountered non-finite generator loss at iter 25430; skipping update. +2025-11-04 13:53:18,935 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,936 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,936 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:18,937 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:18,937 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=12.14, mean=-0.04166, std=3.256, absmax=12.52 +2025-11-04 13:53:18,938 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=12.29, mean=-0.02369, std=2.999, absmax=12.29 +2025-11-04 13:53:19,295 ERROR: Encountered non-finite generator loss at iter 25431; skipping update. +2025-11-04 13:53:19,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:19,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:19,296 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:19,297 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:19,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=11.99, mean=-0.3343, std=3.048, absmax=12.43 +2025-11-04 13:53:19,298 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=9.829, mean=-0.3273, std=2.943, absmax=12.07 +2025-11-04 13:53:19,655 ERROR: Encountered non-finite generator loss at iter 25432; skipping update. +2025-11-04 13:53:19,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:19,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:19,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:19,657 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:19,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.66, max=11.67, mean=-0.1502, std=3.083, absmax=12.66 +2025-11-04 13:53:19,658 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=11.24, mean=-0.1317, std=2.896, absmax=11.34 +2025-11-04 13:53:20,016 ERROR: Encountered non-finite generator loss at iter 25433; skipping update. +2025-11-04 13:53:20,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,017 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:20,018 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.1, max=14.32, mean=-0.2142, std=2.992, absmax=15.1 +2025-11-04 13:53:20,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=13.8, mean=-0.2149, std=2.843, absmax=13.8 +2025-11-04 13:53:20,376 ERROR: Encountered non-finite generator loss at iter 25434; skipping update. +2025-11-04 13:53:20,377 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,377 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,378 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,378 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:20,379 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.73, max=13.48, mean=-0.1594, std=3.331, absmax=13.73 +2025-11-04 13:53:20,379 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.84, mean=-0.1271, std=3.067, absmax=12.84 +2025-11-04 13:53:20,736 ERROR: Encountered non-finite generator loss at iter 25435; skipping update. +2025-11-04 13:53:20,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:20,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:20,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=14.39, mean=-0.2856, std=2.985, absmax=14.39 +2025-11-04 13:53:20,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=13.17, mean=-0.2761, std=2.783, absmax=13.17 +2025-11-04 13:53:21,096 ERROR: Encountered non-finite generator loss at iter 25436; skipping update. +2025-11-04 13:53:21,097 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,098 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,098 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:21,099 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.78, max=15.45, mean=-0.1343, std=2.774, absmax=15.45 +2025-11-04 13:53:21,100 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.46, max=13.12, mean=-0.107, std=2.611, absmax=13.12 +2025-11-04 13:53:21,457 ERROR: Encountered non-finite generator loss at iter 25437; skipping update. +2025-11-04 13:53:21,458 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,459 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,459 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,459 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:21,460 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.28, max=11.47, mean=-0.1271, std=2.661, absmax=11.47 +2025-11-04 13:53:21,461 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=11.06, mean=-0.1337, std=2.543, absmax=11.06 +2025-11-04 13:53:21,818 ERROR: Encountered non-finite generator loss at iter 25438; skipping update. +2025-11-04 13:53:21,819 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:21,820 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:21,821 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=13.81, mean=-0.02811, std=2.898, absmax=13.81 +2025-11-04 13:53:21,821 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.68, mean=-0.05523, std=2.661, absmax=12.68 +2025-11-04 13:53:22,178 ERROR: Encountered non-finite generator loss at iter 25439; skipping update. +2025-11-04 13:53:22,179 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,180 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:22,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=17.02, mean=-0.1697, std=2.91, absmax=17.02 +2025-11-04 13:53:22,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=14.61, mean=-0.1569, std=2.688, absmax=14.61 +2025-11-04 13:53:22,539 ERROR: Encountered non-finite generator loss at iter 25440; skipping update. +2025-11-04 13:53:22,540 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,542 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:22,542 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=13.55, mean=-0.267, std=3.144, absmax=13.55 +2025-11-04 13:53:22,543 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.73, max=11.19, mean=-0.2263, std=2.954, absmax=11.19 +2025-11-04 13:53:22,900 ERROR: Encountered non-finite generator loss at iter 25441; skipping update. +2025-11-04 13:53:22,901 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,902 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:22,902 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:22,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.45, max=12.65, mean=-0.05545, std=3.342, absmax=14.45 +2025-11-04 13:53:22,903 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=11.43, mean=-0.004115, std=3.048, absmax=13.12 +2025-11-04 13:53:23,261 ERROR: Encountered non-finite generator loss at iter 25442; skipping update. +2025-11-04 13:53:23,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,262 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:23,263 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.32, max=12.4, mean=-0.4013, std=3.581, absmax=14.32 +2025-11-04 13:53:23,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=10.3, mean=-0.383, std=3.209, absmax=11.7 +2025-11-04 13:53:23,621 ERROR: Encountered non-finite generator loss at iter 25443; skipping update. +2025-11-04 13:53:23,622 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,623 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:23,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.42, max=12.35, mean=-0.08823, std=2.817, absmax=13.42 +2025-11-04 13:53:23,625 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=11.95, mean=-0.08395, std=2.624, absmax=11.95 +2025-11-04 13:53:23,982 ERROR: Encountered non-finite generator loss at iter 25444; skipping update. +2025-11-04 13:53:23,983 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,983 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,984 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:23,984 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:23,985 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=12.73, mean=-0.1403, std=3.26, absmax=13.49 +2025-11-04 13:53:23,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=12.21, mean=-0.2018, std=3.109, absmax=12.56 +2025-11-04 13:53:24,342 ERROR: Encountered non-finite generator loss at iter 25445; skipping update. +2025-11-04 13:53:24,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:24,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:24,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:24,345 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:24,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.97, mean=-0.1094, std=3.286, absmax=13.03 +2025-11-04 13:53:24,346 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.87, max=10.93, mean=-0.09009, std=2.948, absmax=11.87 +2025-11-04 13:53:24,702 ERROR: Encountered non-finite generator loss at iter 25446; skipping update. +2025-11-04 13:53:24,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:24,704 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:24,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:24,704 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:24,705 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.8, max=13.52, mean=-0.03325, std=2.791, absmax=14.8 +2025-11-04 13:53:24,706 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=12, mean=-0.0003919, std=2.592, absmax=13.18 +2025-11-04 13:53:25,062 ERROR: Encountered non-finite generator loss at iter 25447; skipping update. +2025-11-04 13:53:25,063 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,063 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,064 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,064 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:25,064 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.59, mean=-0.229, std=2.901, absmax=12.59 +2025-11-04 13:53:25,065 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.88, max=12.96, mean=-0.2105, std=2.802, absmax=12.96 +2025-11-04 13:53:25,422 ERROR: Encountered non-finite generator loss at iter 25448; skipping update. +2025-11-04 13:53:25,423 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,423 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,424 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,424 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:25,425 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.9, max=10.52, mean=-0.3563, std=3.316, absmax=12.9 +2025-11-04 13:53:25,425 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=9.589, mean=-0.3491, std=3.011, absmax=12.3 +2025-11-04 13:53:25,782 ERROR: Encountered non-finite generator loss at iter 25449; skipping update. +2025-11-04 13:53:25,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:25,784 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:25,785 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.57, mean=-0.07466, std=2.811, absmax=13.57 +2025-11-04 13:53:25,785 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=13.39, mean=-0.0829, std=2.662, absmax=13.39 +2025-11-04 13:53:26,142 ERROR: Encountered non-finite generator loss at iter 25450; skipping update. +2025-11-04 13:53:26,143 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,144 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,144 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:26,145 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.77, max=13.43, mean=-0.0718, std=3.03, absmax=14.77 +2025-11-04 13:53:26,146 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.73, max=12.17, mean=-0.05109, std=2.825, absmax=12.73 +2025-11-04 13:53:26,503 ERROR: Encountered non-finite generator loss at iter 25451; skipping update. +2025-11-04 13:53:26,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,504 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,505 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:26,506 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=11.39, mean=-0.2189, std=3.064, absmax=12.97 +2025-11-04 13:53:26,506 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=10.33, mean=-0.2337, std=2.973, absmax=11.74 +2025-11-04 13:53:26,863 ERROR: Encountered non-finite generator loss at iter 25452; skipping update. +2025-11-04 13:53:26,864 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,865 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:26,865 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:26,866 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.03, max=10.54, mean=-0.2193, std=2.493, absmax=11.03 +2025-11-04 13:53:26,866 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.943, max=8.749, mean=-0.1948, std=2.277, absmax=9.943 +2025-11-04 13:53:27,224 ERROR: Encountered non-finite generator loss at iter 25453; skipping update. +2025-11-04 13:53:27,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,225 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,226 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,226 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:27,226 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=11.83, mean=-0.2614, std=2.572, absmax=12.82 +2025-11-04 13:53:27,227 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=11.56, mean=-0.2098, std=2.407, absmax=11.56 +2025-11-04 13:53:27,584 ERROR: Encountered non-finite generator loss at iter 25454; skipping update. +2025-11-04 13:53:27,585 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,586 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,586 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:27,587 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.36, max=13.73, mean=-0.4074, std=3.317, absmax=15.36 +2025-11-04 13:53:27,587 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=10.79, mean=-0.4084, std=3.144, absmax=11.71 +2025-11-04 13:53:27,945 ERROR: Encountered non-finite generator loss at iter 25455; skipping update. +2025-11-04 13:53:27,945 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,946 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:27,947 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:27,947 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.83, max=13.32, mean=-0.1593, std=2.542, absmax=13.32 +2025-11-04 13:53:27,948 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.56, max=11.48, mean=-0.1174, std=2.398, absmax=11.56 +2025-11-04 13:53:28,305 ERROR: Encountered non-finite generator loss at iter 25456; skipping update. +2025-11-04 13:53:28,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:28,306 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:28,306 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:28,307 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:28,307 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.71, mean=-0.2012, std=2.898, absmax=12.33 +2025-11-04 13:53:28,308 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=10.61, mean=-0.1964, std=2.716, absmax=10.61 +2025-11-04 13:53:28,665 ERROR: Encountered non-finite generator loss at iter 25457; skipping update. +2025-11-04 13:53:28,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:28,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:28,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:28,667 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:28,667 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=13.34, mean=-0.1352, std=3.103, absmax=13.34 +2025-11-04 13:53:28,668 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.96, max=11.48, mean=-0.1458, std=2.829, absmax=11.96 +2025-11-04 13:53:29,025 ERROR: Encountered non-finite generator loss at iter 25458; skipping update. +2025-11-04 13:53:29,026 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,027 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,027 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,028 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:29,028 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.47, max=16.44, mean=-0.1405, std=3.542, absmax=16.44 +2025-11-04 13:53:29,029 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.25, max=15.5, mean=-0.145, std=3.48, absmax=15.5 +2025-11-04 13:53:29,386 ERROR: Encountered non-finite generator loss at iter 25459; skipping update. +2025-11-04 13:53:29,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,387 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,387 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,388 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:29,388 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.9, max=12.49, mean=-0.3483, std=3.366, absmax=15.9 +2025-11-04 13:53:29,389 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.5, max=9.116, mean=-0.3242, std=3.215, absmax=14.5 +2025-11-04 13:53:29,746 ERROR: Encountered non-finite generator loss at iter 25460; skipping update. +2025-11-04 13:53:29,748 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,749 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:29,749 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:29,750 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=13.59, mean=0.1234, std=3.512, absmax=13.59 +2025-11-04 13:53:29,750 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.61, max=12.13, mean=0.1016, std=3.183, absmax=12.13 +2025-11-04 13:53:30,107 ERROR: Encountered non-finite generator loss at iter 25461; skipping update. +2025-11-04 13:53:30,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,108 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,109 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:30,110 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=10.78, mean=-0.4091, std=2.698, absmax=12.95 +2025-11-04 13:53:30,110 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=9.847, mean=-0.3967, std=2.636, absmax=11.98 +2025-11-04 13:53:30,467 ERROR: Encountered non-finite generator loss at iter 25462; skipping update. +2025-11-04 13:53:30,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,468 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:30,469 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.2, max=16.76, mean=-0.06926, std=3.208, absmax=16.76 +2025-11-04 13:53:30,469 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=15.66, mean=-0.02788, std=3.006, absmax=15.66 +2025-11-04 13:53:30,826 ERROR: Encountered non-finite generator loss at iter 25463; skipping update. +2025-11-04 13:53:30,827 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,828 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,828 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:30,829 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:30,829 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=12.9, mean=-0.1705, std=3.126, absmax=12.93 +2025-11-04 13:53:30,830 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=12.19, mean=-0.1923, std=2.807, absmax=12.19 +2025-11-04 13:53:31,187 ERROR: Encountered non-finite generator loss at iter 25464; skipping update. +2025-11-04 13:53:31,188 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,189 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,189 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:31,190 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.18, max=11.63, mean=-0.2579, std=2.479, absmax=11.63 +2025-11-04 13:53:31,191 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=10.3, mean=-0.2238, std=2.333, absmax=11.1 +2025-11-04 13:53:31,549 ERROR: Encountered non-finite generator loss at iter 25465; skipping update. +2025-11-04 13:53:31,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,550 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:31,551 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=11.63, mean=-0.1788, std=2.703, absmax=13.13 +2025-11-04 13:53:31,552 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=9.825, mean=-0.1688, std=2.502, absmax=10.74 +2025-11-04 13:53:31,909 ERROR: Encountered non-finite generator loss at iter 25466; skipping update. +2025-11-04 13:53:31,910 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,910 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,910 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:31,911 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:31,911 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=16.9, mean=-0.06111, std=3.263, absmax=16.9 +2025-11-04 13:53:31,912 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.3, max=13.17, mean=-0.07201, std=3.002, absmax=13.17 +2025-11-04 13:53:32,269 ERROR: Encountered non-finite generator loss at iter 25467; skipping update. +2025-11-04 13:53:32,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,270 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,270 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,271 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:32,271 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.29, max=12.55, mean=-0.1932, std=3.292, absmax=14.29 +2025-11-04 13:53:32,272 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.12, max=11.32, mean=-0.1603, std=3.022, absmax=12.12 +2025-11-04 13:53:32,629 ERROR: Encountered non-finite generator loss at iter 25468; skipping update. +2025-11-04 13:53:32,630 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,631 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,631 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:32,632 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.91, mean=-0.2647, std=2.841, absmax=12.03 +2025-11-04 13:53:32,632 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.51, mean=-0.2094, std=2.709, absmax=11.86 +2025-11-04 13:53:32,989 ERROR: Encountered non-finite generator loss at iter 25469; skipping update. +2025-11-04 13:53:32,990 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:32,991 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:32,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.34, mean=-0.2365, std=2.819, absmax=12.78 +2025-11-04 13:53:32,992 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=12.52, mean=-0.1914, std=2.688, absmax=12.52 +2025-11-04 13:53:33,349 ERROR: Encountered non-finite generator loss at iter 25470; skipping update. +2025-11-04 13:53:33,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:33,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:33,351 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:33,351 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:33,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=10.66, mean=-0.204, std=2.705, absmax=11.75 +2025-11-04 13:53:33,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=9.591, mean=-0.1967, std=2.556, absmax=10.42 +2025-11-04 13:53:33,710 ERROR: Encountered non-finite generator loss at iter 25471; skipping update. +2025-11-04 13:53:33,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:33,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:33,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:33,712 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:33,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=13.87, mean=-0.2443, std=3.183, absmax=15 +2025-11-04 13:53:33,713 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.86, max=11.78, mean=-0.2076, std=2.955, absmax=13.86 +2025-11-04 13:53:34,071 ERROR: Encountered non-finite generator loss at iter 25472; skipping update. +2025-11-04 13:53:34,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,072 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,073 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:34,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.14, max=13.77, mean=-0.2491, std=2.739, absmax=14.14 +2025-11-04 13:53:34,074 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=12.09, mean=-0.2376, std=2.523, absmax=12.09 +2025-11-04 13:53:34,432 ERROR: Encountered non-finite generator loss at iter 25473; skipping update. +2025-11-04 13:53:34,433 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:34,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.05, max=15.64, mean=-0.1045, std=2.659, absmax=15.64 +2025-11-04 13:53:34,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=13.03, mean=-0.08942, std=2.552, absmax=13.03 +2025-11-04 13:53:34,792 ERROR: Encountered non-finite generator loss at iter 25474; skipping update. +2025-11-04 13:53:34,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:34,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:34,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.53, max=13.12, mean=-0.1959, std=3.105, absmax=15.53 +2025-11-04 13:53:34,795 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.65, max=10.8, mean=-0.1808, std=2.817, absmax=13.65 +2025-11-04 13:53:35,152 ERROR: Encountered non-finite generator loss at iter 25475; skipping update. +2025-11-04 13:53:35,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:35,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.08, max=12.56, mean=0.001625, std=3.203, absmax=12.56 +2025-11-04 13:53:35,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=10.87, mean=0.021, std=2.853, absmax=10.94 +2025-11-04 13:53:35,512 ERROR: Encountered non-finite generator loss at iter 25476; skipping update. +2025-11-04 13:53:35,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:35,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.83, mean=-0.1377, std=2.68, absmax=12.83 +2025-11-04 13:53:35,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.53, mean=-0.1686, std=2.517, absmax=10.53 +2025-11-04 13:53:35,872 ERROR: Encountered non-finite generator loss at iter 25477; skipping update. +2025-11-04 13:53:35,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:35,874 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:35,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.34, mean=-0.03827, std=3.236, absmax=13.34 +2025-11-04 13:53:35,875 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=12.74, mean=-0.06071, std=3.12, absmax=12.74 +2025-11-04 13:53:36,232 ERROR: Encountered non-finite generator loss at iter 25478; skipping update. +2025-11-04 13:53:36,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:36,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.77, max=14.56, mean=0.05454, std=3.858, absmax=17.77 +2025-11-04 13:53:36,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-17.72, max=14.25, mean=0.04003, std=3.525, absmax=17.72 +2025-11-04 13:53:36,591 ERROR: Encountered non-finite generator loss at iter 25479; skipping update. +2025-11-04 13:53:36,592 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:36,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.43, max=13.45, mean=-0.2006, std=3.288, absmax=14.43 +2025-11-04 13:53:36,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=13.08, mean=-0.212, std=3.141, absmax=13.54 +2025-11-04 13:53:36,951 ERROR: Encountered non-finite generator loss at iter 25480; skipping update. +2025-11-04 13:53:36,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:36,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:36,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.21, mean=-0.1253, std=2.444, absmax=12.79 +2025-11-04 13:53:36,955 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.66, max=10.11, mean=-0.1032, std=2.388, absmax=11.66 +2025-11-04 13:53:37,312 ERROR: Encountered non-finite generator loss at iter 25481; skipping update. +2025-11-04 13:53:37,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:37,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:37,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:37,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:37,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=11.42, mean=-0.2177, std=3.319, absmax=12 +2025-11-04 13:53:37,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=10.54, mean=-0.2249, std=3.194, absmax=11.79 +2025-11-04 13:53:37,673 ERROR: Encountered non-finite generator loss at iter 25482; skipping update. +2025-11-04 13:53:37,674 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:37,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:37,675 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:37,675 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:37,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=9.488, mean=-0.2267, std=2.728, absmax=12.06 +2025-11-04 13:53:37,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.37, max=8.671, mean=-0.2461, std=2.543, absmax=10.37 +2025-11-04 13:53:38,033 ERROR: Encountered non-finite generator loss at iter 25483; skipping update. +2025-11-04 13:53:38,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:38,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.68, mean=-0.02393, std=2.808, absmax=12.68 +2025-11-04 13:53:38,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.67, max=10.9, mean=-0.05396, std=2.652, absmax=10.9 +2025-11-04 13:53:38,393 ERROR: Encountered non-finite generator loss at iter 25484; skipping update. +2025-11-04 13:53:38,394 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,395 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:38,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.51, max=12.55, mean=0.0006372, std=3.217, absmax=12.55 +2025-11-04 13:53:38,396 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.81, max=11.3, mean=0.0383, std=2.985, absmax=11.81 +2025-11-04 13:53:38,752 ERROR: Encountered non-finite generator loss at iter 25485; skipping update. +2025-11-04 13:53:38,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:38,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:38,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.64, max=13.87, mean=-0.2405, std=2.816, absmax=13.87 +2025-11-04 13:53:38,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.25, max=12.38, mean=-0.2072, std=2.565, absmax=12.38 +2025-11-04 13:53:39,112 ERROR: Encountered non-finite generator loss at iter 25486; skipping update. +2025-11-04 13:53:39,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,115 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:39,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.66, max=13.53, mean=-0.3725, std=3.382, absmax=15.66 +2025-11-04 13:53:39,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.85, max=12.5, mean=-0.3923, std=3.115, absmax=13.85 +2025-11-04 13:53:39,472 ERROR: Encountered non-finite generator loss at iter 25487; skipping update. +2025-11-04 13:53:39,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:39,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.17, max=12.22, mean=-0.2795, std=3.039, absmax=12.22 +2025-11-04 13:53:39,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=11.59, mean=-0.2928, std=2.857, absmax=11.75 +2025-11-04 13:53:39,832 ERROR: Encountered non-finite generator loss at iter 25488; skipping update. +2025-11-04 13:53:39,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:39,834 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:39,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.17, max=13.2, mean=-0.198, std=3.645, absmax=15.17 +2025-11-04 13:53:39,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.96, max=12.01, mean=-0.1699, std=3.487, absmax=14.96 +2025-11-04 13:53:40,192 ERROR: Encountered non-finite generator loss at iter 25489; skipping update. +2025-11-04 13:53:40,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:40,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=14.02, mean=-0.1036, std=3.299, absmax=14.02 +2025-11-04 13:53:40,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.23, mean=-0.1684, std=3.014, absmax=12.23 +2025-11-04 13:53:40,553 ERROR: Encountered non-finite generator loss at iter 25490; skipping update. +2025-11-04 13:53:40,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,555 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:40,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.58, mean=-0.08451, std=3.33, absmax=13.58 +2025-11-04 13:53:40,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=11.24, mean=-0.0396, std=3.113, absmax=12.61 +2025-11-04 13:53:40,913 ERROR: Encountered non-finite generator loss at iter 25491; skipping update. +2025-11-04 13:53:40,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:40,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:40,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.17, max=12.73, mean=-0.1455, std=3.497, absmax=14.17 +2025-11-04 13:53:40,917 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=12.05, mean=-0.1281, std=3.189, absmax=13.07 +2025-11-04 13:53:41,273 ERROR: Encountered non-finite generator loss at iter 25492; skipping update. +2025-11-04 13:53:41,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:41,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.04, max=11.18, mean=-0.2845, std=2.763, absmax=15.04 +2025-11-04 13:53:41,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.46, max=10.05, mean=-0.2383, std=2.565, absmax=14.46 +2025-11-04 13:53:41,633 ERROR: Encountered non-finite generator loss at iter 25493; skipping update. +2025-11-04 13:53:41,634 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,635 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:41,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.28, max=13.66, mean=-0.114, std=3.235, absmax=14.28 +2025-11-04 13:53:41,636 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=11.55, mean=-0.1625, std=3.026, absmax=12.25 +2025-11-04 13:53:41,992 ERROR: Encountered non-finite generator loss at iter 25494; skipping update. +2025-11-04 13:53:41,994 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:41,995 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:41,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.72, max=12.61, mean=-0.1353, std=2.838, absmax=12.61 +2025-11-04 13:53:41,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.5, max=12.15, mean=-0.1407, std=2.702, absmax=12.15 +2025-11-04 13:53:42,352 ERROR: Encountered non-finite generator loss at iter 25495; skipping update. +2025-11-04 13:53:42,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:42,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:42,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:42,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:42,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.65, mean=-0.349, std=3.04, absmax=13.41 +2025-11-04 13:53:42,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=11.64, mean=-0.3218, std=2.815, absmax=11.67 +2025-11-04 13:53:42,712 ERROR: Encountered non-finite generator loss at iter 25496; skipping update. +2025-11-04 13:53:42,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:42,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:42,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:42,714 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:42,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=14, mean=-0.2103, std=2.882, absmax=14 +2025-11-04 13:53:42,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.75, max=12.72, mean=-0.1695, std=2.661, absmax=12.72 +2025-11-04 13:53:43,072 ERROR: Encountered non-finite generator loss at iter 25497; skipping update. +2025-11-04 13:53:43,073 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,074 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:43,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=11.58, mean=-0.1627, std=2.415, absmax=11.58 +2025-11-04 13:53:43,075 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=10.33, mean=-0.1966, std=2.247, absmax=10.71 +2025-11-04 13:53:43,433 ERROR: Encountered non-finite generator loss at iter 25498; skipping update. +2025-11-04 13:53:43,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:43,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.65, max=18.26, mean=-0.1245, std=3.041, absmax=18.26 +2025-11-04 13:53:43,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=15.23, mean=-0.1286, std=2.767, absmax=15.23 +2025-11-04 13:53:43,793 ERROR: Encountered non-finite generator loss at iter 25499; skipping update. +2025-11-04 13:53:43,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,795 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:43,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:43,796 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=14.25, mean=-0.1258, std=2.862, absmax=14.25 +2025-11-04 13:53:43,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.1, max=12.55, mean=-0.08361, std=2.708, absmax=14.1 +2025-11-04 13:53:44,153 ERROR: Encountered non-finite generator loss at iter 25500; skipping update. +2025-11-04 13:53:44,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,155 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:44,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=14.85, mean=-0.2272, std=3.141, absmax=14.85 +2025-11-04 13:53:44,156 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=13.7, mean=-0.1962, std=2.941, absmax=13.7 +2025-11-04 13:53:44,157 INFO: [38..][epoch: 0, step: 25,500, lr:(2.000e-04,)] [eta: 1 day, 2:57:18, time (data): 0.360 (0.000)] +2025-11-04 13:53:44,513 ERROR: Encountered non-finite generator loss at iter 25501; skipping update. +2025-11-04 13:53:44,514 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,515 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,515 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:44,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=10.01, mean=-0.3092, std=2.366, absmax=12.22 +2025-11-04 13:53:44,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.17, max=8.464, mean=-0.301, std=2.26, absmax=12.17 +2025-11-04 13:53:44,872 ERROR: Encountered non-finite generator loss at iter 25502; skipping update. +2025-11-04 13:53:44,874 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:44,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:44,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=14.06, mean=-0.2179, std=2.932, absmax=14.06 +2025-11-04 13:53:44,876 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=10.63, mean=-0.1968, std=2.661, absmax=10.84 +2025-11-04 13:53:45,233 ERROR: Encountered non-finite generator loss at iter 25503; skipping update. +2025-11-04 13:53:45,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:45,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=10.87, mean=-0.122, std=2.759, absmax=11.3 +2025-11-04 13:53:45,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.59, mean=-0.1953, std=2.677, absmax=11.28 +2025-11-04 13:53:45,592 ERROR: Encountered non-finite generator loss at iter 25504; skipping update. +2025-11-04 13:53:45,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:45,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.26, max=13.3, mean=-0.2771, std=2.729, absmax=13.3 +2025-11-04 13:53:45,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.57, max=11.18, mean=-0.2521, std=2.584, absmax=12.57 +2025-11-04 13:53:45,952 ERROR: Encountered non-finite generator loss at iter 25505; skipping update. +2025-11-04 13:53:45,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:45,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:45,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.64, mean=-0.1333, std=2.863, absmax=13.58 +2025-11-04 13:53:45,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=10.2, mean=-0.1491, std=2.608, absmax=12.37 +2025-11-04 13:53:46,312 ERROR: Encountered non-finite generator loss at iter 25506; skipping update. +2025-11-04 13:53:46,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:46,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:46,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:46,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:46,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.54, max=16.64, mean=-0.302, std=2.701, absmax=16.64 +2025-11-04 13:53:46,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.93, max=12.78, mean=-0.3098, std=2.557, absmax=12.78 +2025-11-04 13:53:46,672 ERROR: Encountered non-finite generator loss at iter 25507; skipping update. +2025-11-04 13:53:46,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:46,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:46,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:46,675 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:46,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=11.99, mean=-0.2233, std=2.578, absmax=13.06 +2025-11-04 13:53:46,676 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=10.59, mean=-0.179, std=2.532, absmax=10.81 +2025-11-04 13:53:47,032 ERROR: Encountered non-finite generator loss at iter 25508; skipping update. +2025-11-04 13:53:47,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:47,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.83, max=13.66, mean=-0.1714, std=2.608, absmax=13.66 +2025-11-04 13:53:47,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.61, mean=-0.1751, std=2.467, absmax=12.61 +2025-11-04 13:53:47,392 ERROR: Encountered non-finite generator loss at iter 25509; skipping update. +2025-11-04 13:53:47,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:47,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.99, max=10.19, mean=-0.1856, std=2.921, absmax=13.99 +2025-11-04 13:53:47,395 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.46, max=8.919, mean=-0.1786, std=2.684, absmax=10.46 +2025-11-04 13:53:47,752 ERROR: Encountered non-finite generator loss at iter 25510; skipping update. +2025-11-04 13:53:47,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:47,754 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:47,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.27, max=12.37, mean=-0.03044, std=3.061, absmax=13.27 +2025-11-04 13:53:47,755 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.41, max=12.1, mean=-0.04599, std=2.894, absmax=12.1 +2025-11-04 13:53:48,111 ERROR: Encountered non-finite generator loss at iter 25511; skipping update. +2025-11-04 13:53:48,112 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,113 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,113 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:48,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=11.7, mean=-0.2013, std=2.896, absmax=11.73 +2025-11-04 13:53:48,115 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.56, max=10.32, mean=-0.1928, std=2.666, absmax=10.56 +2025-11-04 13:53:48,473 ERROR: Encountered non-finite generator loss at iter 25512; skipping update. +2025-11-04 13:53:48,474 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,475 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,475 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:48,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.3, max=17.76, mean=-0.1122, std=2.893, absmax=17.76 +2025-11-04 13:53:48,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=14.83, mean=-0.1156, std=2.695, absmax=14.83 +2025-11-04 13:53:48,833 ERROR: Encountered non-finite generator loss at iter 25513; skipping update. +2025-11-04 13:53:48,834 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,835 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:48,836 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:48,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.7, max=12.47, mean=0.0133, std=2.746, absmax=12.47 +2025-11-04 13:53:48,837 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=11.64, mean=0.02734, std=2.562, absmax=11.64 +2025-11-04 13:53:49,193 ERROR: Encountered non-finite generator loss at iter 25514; skipping update. +2025-11-04 13:53:49,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:49,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=13.54, mean=-0.05434, std=2.891, absmax=13.54 +2025-11-04 13:53:49,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=12.13, mean=-0.01395, std=2.656, absmax=12.13 +2025-11-04 13:53:49,553 ERROR: Encountered non-finite generator loss at iter 25515; skipping update. +2025-11-04 13:53:49,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,556 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:49,557 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=10.93, mean=-0.1995, std=3.061, absmax=12.92 +2025-11-04 13:53:49,557 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12, max=10.12, mean=-0.2332, std=2.862, absmax=12 +2025-11-04 13:53:49,914 ERROR: Encountered non-finite generator loss at iter 25516; skipping update. +2025-11-04 13:53:49,915 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:49,916 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:49,917 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=12.99, mean=-0.2652, std=3.083, absmax=13.43 +2025-11-04 13:53:49,917 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.23, max=12.37, mean=-0.2694, std=2.964, absmax=13.23 +2025-11-04 13:53:50,274 ERROR: Encountered non-finite generator loss at iter 25517; skipping update. +2025-11-04 13:53:50,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,276 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:50,277 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=15.16, mean=-0.03196, std=2.939, absmax=15.16 +2025-11-04 13:53:50,278 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=13.7, mean=-0.04992, std=2.73, absmax=13.7 +2025-11-04 13:53:50,634 ERROR: Encountered non-finite generator loss at iter 25518; skipping update. +2025-11-04 13:53:50,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,637 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:50,637 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=11.06, mean=-0.1674, std=2.856, absmax=11.61 +2025-11-04 13:53:50,638 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.291, max=10.54, mean=-0.1576, std=2.607, absmax=10.54 +2025-11-04 13:53:50,994 ERROR: Encountered non-finite generator loss at iter 25519; skipping update. +2025-11-04 13:53:50,995 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,995 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:50,996 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:50,996 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=9.704, mean=-0.3161, std=2.838, absmax=12.37 +2025-11-04 13:53:50,997 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.92, max=9.098, mean=-0.3036, std=2.635, absmax=11.92 +2025-11-04 13:53:51,354 ERROR: Encountered non-finite generator loss at iter 25520; skipping update. +2025-11-04 13:53:51,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:51,355 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:51,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:51,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:51,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.81, max=13.45, mean=0.008139, std=2.677, absmax=13.45 +2025-11-04 13:53:51,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=12.43, mean=-0.02396, std=2.502, absmax=12.43 +2025-11-04 13:53:51,714 ERROR: Encountered non-finite generator loss at iter 25521; skipping update. +2025-11-04 13:53:51,715 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:51,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:51,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:51,716 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:51,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=13.61, mean=-0.1587, std=2.533, absmax=13.61 +2025-11-04 13:53:51,717 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.66, max=11.82, mean=-0.1299, std=2.35, absmax=11.82 +2025-11-04 13:53:52,074 ERROR: Encountered non-finite generator loss at iter 25522; skipping update. +2025-11-04 13:53:52,075 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,075 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,076 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:52,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.74, max=13.7, mean=0.03766, std=3.289, absmax=14.74 +2025-11-04 13:53:52,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=13.37, mean=0.06913, std=3.027, absmax=13.37 +2025-11-04 13:53:52,433 ERROR: Encountered non-finite generator loss at iter 25523; skipping update. +2025-11-04 13:53:52,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,434 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:52,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.67, max=11.94, mean=-0.1823, std=2.629, absmax=11.94 +2025-11-04 13:53:52,436 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=11.17, mean=-0.1732, std=2.442, absmax=11.17 +2025-11-04 13:53:52,792 ERROR: Encountered non-finite generator loss at iter 25524; skipping update. +2025-11-04 13:53:52,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:52,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:52,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=13.65, mean=-0.2076, std=2.885, absmax=13.65 +2025-11-04 13:53:52,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.39, max=11.65, mean=-0.2036, std=2.658, absmax=11.65 +2025-11-04 13:53:53,152 ERROR: Encountered non-finite generator loss at iter 25525; skipping update. +2025-11-04 13:53:53,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:53,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.09, max=14.16, mean=0.07559, std=3.385, absmax=14.16 +2025-11-04 13:53:53,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.79, max=12.8, mean=0.0863, std=3.179, absmax=12.8 +2025-11-04 13:53:53,512 ERROR: Encountered non-finite generator loss at iter 25526; skipping update. +2025-11-04 13:53:53,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:53,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.62, max=14.07, mean=-0.09887, std=3.201, absmax=14.62 +2025-11-04 13:53:53,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.1, max=13.42, mean=-0.05552, std=2.951, absmax=13.42 +2025-11-04 13:53:53,872 ERROR: Encountered non-finite generator loss at iter 25527; skipping update. +2025-11-04 13:53:53,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:53,874 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:53,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.51, max=17.82, mean=-0.207, std=3.615, absmax=17.82 +2025-11-04 13:53:53,875 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.74, max=15.89, mean=-0.1684, std=3.279, absmax=15.89 +2025-11-04 13:53:54,232 ERROR: Encountered non-finite generator loss at iter 25528; skipping update. +2025-11-04 13:53:54,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:54,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=14.18, mean=-0.1814, std=2.92, absmax=14.18 +2025-11-04 13:53:54,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.45, mean=-0.2162, std=2.703, absmax=12.45 +2025-11-04 13:53:54,592 ERROR: Encountered non-finite generator loss at iter 25529; skipping update. +2025-11-04 13:53:54,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,594 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:54,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.73, mean=-0.02447, std=2.725, absmax=11.73 +2025-11-04 13:53:54,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.17, max=10.96, mean=0.005874, std=2.505, absmax=10.96 +2025-11-04 13:53:54,952 ERROR: Encountered non-finite generator loss at iter 25530; skipping update. +2025-11-04 13:53:54,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:54,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:54,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=13.75, mean=-0.1998, std=3.646, absmax=15.16 +2025-11-04 13:53:54,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=12.3, mean=-0.1777, std=3.411, absmax=12.64 +2025-11-04 13:53:55,312 ERROR: Encountered non-finite generator loss at iter 25531; skipping update. +2025-11-04 13:53:55,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:55,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:55,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:55,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:55,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=11.61, mean=-0.3816, std=3.46, absmax=13.57 +2025-11-04 13:53:55,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=10.33, mean=-0.3509, std=3.187, absmax=12.07 +2025-11-04 13:53:55,672 ERROR: Encountered non-finite generator loss at iter 25532; skipping update. +2025-11-04 13:53:55,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:55,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:55,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:55,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:55,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.94, max=11.55, mean=0.05442, std=2.876, absmax=11.94 +2025-11-04 13:53:55,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=11.06, mean=0.07899, std=2.75, absmax=11.4 +2025-11-04 13:53:56,032 ERROR: Encountered non-finite generator loss at iter 25533; skipping update. +2025-11-04 13:53:56,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,034 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:56,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=11.63, mean=-0.1573, std=3.081, absmax=13.58 +2025-11-04 13:53:56,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.19, max=12.07, mean=-0.1098, std=3.021, absmax=13.19 +2025-11-04 13:53:56,392 ERROR: Encountered non-finite generator loss at iter 25534; skipping update. +2025-11-04 13:53:56,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:56,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=16.39, mean=-0.08156, std=3.228, absmax=16.39 +2025-11-04 13:53:56,394 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.38, max=13.02, mean=-0.07953, std=3.014, absmax=13.02 +2025-11-04 13:53:56,751 ERROR: Encountered non-finite generator loss at iter 25535; skipping update. +2025-11-04 13:53:56,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,753 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:56,754 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:56,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.46, max=13.93, mean=-0.03307, std=3.149, absmax=13.93 +2025-11-04 13:53:56,755 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=13.23, mean=-0.03737, std=2.891, absmax=13.23 +2025-11-04 13:53:57,112 ERROR: Encountered non-finite generator loss at iter 25536; skipping update. +2025-11-04 13:53:57,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:57,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=21.6, mean=0.3473, std=3.91, absmax=21.6 +2025-11-04 13:53:57,115 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=17.39, mean=0.3408, std=3.618, absmax=17.39 +2025-11-04 13:53:57,472 ERROR: Encountered non-finite generator loss at iter 25537; skipping update. +2025-11-04 13:53:57,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:57,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.4, max=11.01, mean=-0.1991, std=2.737, absmax=11.4 +2025-11-04 13:53:57,475 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.4, max=9.355, mean=-0.1573, std=2.553, absmax=10.4 +2025-11-04 13:53:57,832 ERROR: Encountered non-finite generator loss at iter 25538; skipping update. +2025-11-04 13:53:57,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:57,834 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:57,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.74, mean=-0.04185, std=3.044, absmax=12.74 +2025-11-04 13:53:57,835 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=12.91, mean=-0.05113, std=2.817, absmax=12.91 +2025-11-04 13:53:58,192 ERROR: Encountered non-finite generator loss at iter 25539; skipping update. +2025-11-04 13:53:58,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:58,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.76, max=12.45, mean=-0.2881, std=3.439, absmax=12.76 +2025-11-04 13:53:58,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.25, max=10.96, mean=-0.2546, std=3.113, absmax=12.25 +2025-11-04 13:53:58,552 ERROR: Encountered non-finite generator loss at iter 25540; skipping update. +2025-11-04 13:53:58,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,554 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:58,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=15.65, mean=0.121, std=3.578, absmax=15.65 +2025-11-04 13:53:58,555 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=15.52, mean=0.1046, std=3.317, absmax=15.52 +2025-11-04 13:53:58,911 ERROR: Encountered non-finite generator loss at iter 25541; skipping update. +2025-11-04 13:53:58,912 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,913 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:58,914 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:58,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=11.96, mean=-0.3488, std=3.475, absmax=14.09 +2025-11-04 13:53:58,915 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.03, max=10.92, mean=-0.3025, std=3.194, absmax=12.03 +2025-11-04 13:53:59,271 ERROR: Encountered non-finite generator loss at iter 25542; skipping update. +2025-11-04 13:53:59,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,274 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:59,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=13.06, mean=-0.2737, std=2.617, absmax=13.06 +2025-11-04 13:53:59,275 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.63, max=10.22, mean=-0.2212, std=2.423, absmax=12.63 +2025-11-04 13:53:59,631 ERROR: Encountered non-finite generator loss at iter 25543; skipping update. +2025-11-04 13:53:59,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:59,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.55, max=11.98, mean=-0.3723, std=3.642, absmax=13.55 +2025-11-04 13:53:59,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=11.08, mean=-0.3366, std=3.424, absmax=12.78 +2025-11-04 13:53:59,992 ERROR: Encountered non-finite generator loss at iter 25544; skipping update. +2025-11-04 13:53:59,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:53:59,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:53:59,994 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.52, max=15.03, mean=-0.1684, std=2.758, absmax=15.03 +2025-11-04 13:53:59,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=11.81, mean=-0.1452, std=2.537, absmax=11.81 +2025-11-04 13:54:00,352 ERROR: Encountered non-finite generator loss at iter 25545; skipping update. +2025-11-04 13:54:00,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:00,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:00,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:00,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:00,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.89, max=12.46, mean=-0.3061, std=2.973, absmax=12.46 +2025-11-04 13:54:00,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.41, mean=-0.3116, std=2.95, absmax=11.53 +2025-11-04 13:54:00,712 ERROR: Encountered non-finite generator loss at iter 25546; skipping update. +2025-11-04 13:54:00,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:00,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:00,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:00,714 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:00,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.8, max=11.24, mean=-0.1347, std=2.803, absmax=12.8 +2025-11-04 13:54:00,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.27, max=11.05, mean=-0.1118, std=2.606, absmax=11.05 +2025-11-04 13:54:01,071 ERROR: Encountered non-finite generator loss at iter 25547; skipping update. +2025-11-04 13:54:01,072 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,073 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,073 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:01,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=12.76, mean=-0.1332, std=3.176, absmax=12.76 +2025-11-04 13:54:01,074 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=10.74, mean=-0.1013, std=2.963, absmax=11.24 +2025-11-04 13:54:01,431 ERROR: Encountered non-finite generator loss at iter 25548; skipping update. +2025-11-04 13:54:01,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:01,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=11.3, mean=-0.2203, std=2.762, absmax=11.6 +2025-11-04 13:54:01,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=10.24, mean=-0.1699, std=2.554, absmax=11.25 +2025-11-04 13:54:01,791 ERROR: Encountered non-finite generator loss at iter 25549; skipping update. +2025-11-04 13:54:01,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,793 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:01,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:01,794 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=10, mean=-0.1769, std=2.315, absmax=11.75 +2025-11-04 13:54:01,795 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=9.318, mean=-0.129, std=2.315, absmax=11.98 +2025-11-04 13:54:02,151 ERROR: Encountered non-finite generator loss at iter 25550; skipping update. +2025-11-04 13:54:02,152 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,153 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,153 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:02,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.48, max=13.64, mean=-0.2969, std=3.39, absmax=14.48 +2025-11-04 13:54:02,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.36, max=11.02, mean=-0.2813, std=3.207, absmax=13.36 +2025-11-04 13:54:02,511 ERROR: Encountered non-finite generator loss at iter 25551; skipping update. +2025-11-04 13:54:02,512 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,513 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,513 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:02,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.37, max=15.28, mean=0.08994, std=3.898, absmax=16.37 +2025-11-04 13:54:02,514 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.09, max=14.48, mean=0.1343, std=3.659, absmax=14.48 +2025-11-04 13:54:02,871 ERROR: Encountered non-finite generator loss at iter 25552; skipping update. +2025-11-04 13:54:02,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:02,874 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:02,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15, max=13.33, mean=-0.02132, std=2.916, absmax=15 +2025-11-04 13:54:02,875 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=11.07, mean=-0.06368, std=2.658, absmax=11.39 +2025-11-04 13:54:03,232 ERROR: Encountered non-finite generator loss at iter 25553; skipping update. +2025-11-04 13:54:03,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:03,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=11.32, mean=-0.09633, std=2.616, absmax=12.7 +2025-11-04 13:54:03,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.34, max=10.14, mean=-0.03977, std=2.441, absmax=10.34 +2025-11-04 13:54:03,592 ERROR: Encountered non-finite generator loss at iter 25554; skipping update. +2025-11-04 13:54:03,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:03,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.18, max=17.03, mean=0.1394, std=4.065, absmax=17.03 +2025-11-04 13:54:03,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=14.58, mean=0.1484, std=3.828, absmax=14.58 +2025-11-04 13:54:03,952 ERROR: Encountered non-finite generator loss at iter 25555; skipping update. +2025-11-04 13:54:03,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:03,955 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:03,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.99, max=14.89, mean=-0.0006068, std=3.398, absmax=14.89 +2025-11-04 13:54:03,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=12.21, mean=-0.04023, std=3.186, absmax=12.21 +2025-11-04 13:54:04,312 ERROR: Encountered non-finite generator loss at iter 25556; skipping update. +2025-11-04 13:54:04,314 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:04,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:04,315 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:04,315 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:04,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12, max=13.7, mean=-0.168, std=2.668, absmax=13.7 +2025-11-04 13:54:04,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=12.73, mean=-0.1501, std=2.477, absmax=12.73 +2025-11-04 13:54:04,672 ERROR: Encountered non-finite generator loss at iter 25557; skipping update. +2025-11-04 13:54:04,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:04,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:04,673 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:04,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:04,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.68, max=14.39, mean=-0.2103, std=2.816, absmax=14.39 +2025-11-04 13:54:04,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.94, mean=-0.2358, std=2.614, absmax=12.94 +2025-11-04 13:54:05,031 ERROR: Encountered non-finite generator loss at iter 25558; skipping update. +2025-11-04 13:54:05,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,033 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,033 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:05,034 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=10.63, mean=-0.2288, std=2.589, absmax=12.37 +2025-11-04 13:54:05,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.33, max=10.29, mean=-0.2111, std=2.433, absmax=11.33 +2025-11-04 13:54:05,391 ERROR: Encountered non-finite generator loss at iter 25559; skipping update. +2025-11-04 13:54:05,392 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,393 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:05,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-19, max=13.5, mean=-0.2076, std=3.143, absmax=19 +2025-11-04 13:54:05,395 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.5, max=12.4, mean=-0.1997, std=2.942, absmax=14.5 +2025-11-04 13:54:05,752 ERROR: Encountered non-finite generator loss at iter 25560; skipping update. +2025-11-04 13:54:05,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,753 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:05,754 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:05,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=14.86, mean=-0.1927, std=3.132, absmax=14.86 +2025-11-04 13:54:05,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=13.01, mean=-0.2071, std=2.906, absmax=13.01 +2025-11-04 13:54:06,116 ERROR: Encountered non-finite generator loss at iter 25561; skipping update. +2025-11-04 13:54:06,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,118 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,119 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:06,120 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=19.95, mean=-0.2205, std=3.241, absmax=19.95 +2025-11-04 13:54:06,121 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.71, max=15.28, mean=-0.1998, std=2.977, absmax=15.28 +2025-11-04 13:54:06,479 ERROR: Encountered non-finite generator loss at iter 25562; skipping update. +2025-11-04 13:54:06,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,482 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:06,483 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.95, max=14.55, mean=-0.04014, std=3.168, absmax=14.55 +2025-11-04 13:54:06,483 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.84, max=13.03, mean=0.01576, std=3.035, absmax=13.03 +2025-11-04 13:54:06,843 ERROR: Encountered non-finite generator loss at iter 25563; skipping update. +2025-11-04 13:54:06,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,844 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,845 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:06,845 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:06,846 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=15.23, mean=-0.2845, std=2.77, absmax=15.23 +2025-11-04 13:54:06,847 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.76, max=13.51, mean=-0.3063, std=2.61, absmax=13.51 +2025-11-04 13:54:07,206 ERROR: Encountered non-finite generator loss at iter 25564; skipping update. +2025-11-04 13:54:07,207 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,208 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,209 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:07,210 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=13.2, mean=-0.2466, std=2.436, absmax=14.68 +2025-11-04 13:54:07,210 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=11.35, mean=-0.2527, std=2.225, absmax=13.54 +2025-11-04 13:54:07,569 ERROR: Encountered non-finite generator loss at iter 25565; skipping update. +2025-11-04 13:54:07,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:07,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=13.25, mean=-0.1694, std=2.68, absmax=13.25 +2025-11-04 13:54:07,574 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.89, max=12.78, mean=-0.1372, std=2.631, absmax=12.78 +2025-11-04 13:54:07,933 ERROR: Encountered non-finite generator loss at iter 25566; skipping update. +2025-11-04 13:54:07,934 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:07,935 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:07,936 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=13.58, mean=-0.2295, std=3.252, absmax=13.58 +2025-11-04 13:54:07,936 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.37, max=10.64, mean=-0.1867, std=2.921, absmax=13.37 +2025-11-04 13:54:08,294 ERROR: Encountered non-finite generator loss at iter 25567; skipping update. +2025-11-04 13:54:08,295 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:08,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:08,296 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:08,296 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:08,297 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=13.89, mean=-0.2809, std=3.1, absmax=14.35 +2025-11-04 13:54:08,297 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=11.53, mean=-0.2945, std=2.83, absmax=12.02 +2025-11-04 13:54:08,654 ERROR: Encountered non-finite generator loss at iter 25568; skipping update. +2025-11-04 13:54:08,655 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:08,655 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:08,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:08,656 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:08,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=13.18, mean=-0.1857, std=2.991, absmax=13.92 +2025-11-04 13:54:08,657 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.08, max=10.84, mean=-0.2075, std=2.751, absmax=12.08 +2025-11-04 13:54:09,014 ERROR: Encountered non-finite generator loss at iter 25569; skipping update. +2025-11-04 13:54:09,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:09,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.83, max=12.78, mean=-0.2713, std=3.008, absmax=13.83 +2025-11-04 13:54:09,017 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.61, max=10.27, mean=-0.2607, std=2.778, absmax=12.61 +2025-11-04 13:54:09,374 ERROR: Encountered non-finite generator loss at iter 25570; skipping update. +2025-11-04 13:54:09,375 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,376 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,376 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:09,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.96, max=13.13, mean=-0.23, std=3.503, absmax=15.96 +2025-11-04 13:54:09,377 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.47, max=13.93, mean=-0.1903, std=3.278, absmax=14.47 +2025-11-04 13:54:09,734 ERROR: Encountered non-finite generator loss at iter 25571; skipping update. +2025-11-04 13:54:09,735 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,736 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,736 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:09,736 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:09,737 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.16, max=17.82, mean=-0.1836, std=2.884, absmax=17.82 +2025-11-04 13:54:09,738 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=14.78, mean=-0.2406, std=2.802, absmax=14.78 +2025-11-04 13:54:10,094 ERROR: Encountered non-finite generator loss at iter 25572; skipping update. +2025-11-04 13:54:10,095 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,096 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,096 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:10,097 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.51, max=14.82, mean=-0.2177, std=3.639, absmax=14.82 +2025-11-04 13:54:10,097 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.55, max=11.84, mean=-0.1954, std=3.41, absmax=13.55 +2025-11-04 13:54:10,454 ERROR: Encountered non-finite generator loss at iter 25573; skipping update. +2025-11-04 13:54:10,455 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,455 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,456 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,456 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:10,457 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.1, max=12.52, mean=-0.2281, std=2.789, absmax=12.52 +2025-11-04 13:54:10,457 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=12.16, mean=-0.1851, std=2.618, absmax=12.16 +2025-11-04 13:54:10,814 ERROR: Encountered non-finite generator loss at iter 25574; skipping update. +2025-11-04 13:54:10,815 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,815 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:10,816 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:10,816 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.35, max=13.04, mean=0.03669, std=3.465, absmax=13.04 +2025-11-04 13:54:10,817 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.95, max=12.42, mean=0.05931, std=3.246, absmax=12.42 +2025-11-04 13:54:11,173 ERROR: Encountered non-finite generator loss at iter 25575; skipping update. +2025-11-04 13:54:11,174 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,175 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,175 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,175 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:11,176 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.37, max=17.25, mean=-0.04105, std=3.235, absmax=17.25 +2025-11-04 13:54:11,176 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=15.45, mean=-0.06382, std=2.977, absmax=15.45 +2025-11-04 13:54:11,533 ERROR: Encountered non-finite generator loss at iter 25576; skipping update. +2025-11-04 13:54:11,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,534 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:11,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=14.76, mean=-0.1239, std=3.087, absmax=14.76 +2025-11-04 13:54:11,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.48, max=12.67, mean=-0.1307, std=2.747, absmax=12.67 +2025-11-04 13:54:11,893 ERROR: Encountered non-finite generator loss at iter 25577; skipping update. +2025-11-04 13:54:11,894 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,895 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:11,895 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:11,896 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=13.2, mean=-0.05353, std=2.742, absmax=13.2 +2025-11-04 13:54:11,896 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.743, max=12.02, mean=-0.02591, std=2.556, absmax=12.02 +2025-11-04 13:54:12,253 ERROR: Encountered non-finite generator loss at iter 25578; skipping update. +2025-11-04 13:54:12,254 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,255 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:12,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.01, max=12.92, mean=-0.3156, std=3.663, absmax=14.01 +2025-11-04 13:54:12,256 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.96, max=11.15, mean=-0.2959, std=3.394, absmax=13.96 +2025-11-04 13:54:12,612 ERROR: Encountered non-finite generator loss at iter 25579; skipping update. +2025-11-04 13:54:12,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,614 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:12,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.33, max=13.05, mean=-0.124, std=2.482, absmax=13.05 +2025-11-04 13:54:12,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.322, max=10.16, mean=-0.1175, std=2.291, absmax=10.16 +2025-11-04 13:54:12,972 ERROR: Encountered non-finite generator loss at iter 25580; skipping update. +2025-11-04 13:54:12,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:12,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:12,974 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=11.99, mean=-0.2135, std=2.869, absmax=12.14 +2025-11-04 13:54:12,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.74, max=9.829, mean=-0.1941, std=2.646, absmax=11.74 +2025-11-04 13:54:13,331 ERROR: Encountered non-finite generator loss at iter 25581; skipping update. +2025-11-04 13:54:13,332 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:13,333 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:13,333 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:13,333 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:13,334 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.54, max=12.9, mean=-0.1762, std=3.371, absmax=16.54 +2025-11-04 13:54:13,334 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.98, max=12.02, mean=-0.1804, std=3.086, absmax=12.98 +2025-11-04 13:54:13,692 ERROR: Encountered non-finite generator loss at iter 25582; skipping update. +2025-11-04 13:54:13,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:13,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:13,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:13,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:13,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=13.94, mean=-0.0585, std=3.45, absmax=13.94 +2025-11-04 13:54:13,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=11.84, mean=-0.05954, std=3.147, absmax=12.59 +2025-11-04 13:54:14,052 ERROR: Encountered non-finite generator loss at iter 25583; skipping update. +2025-11-04 13:54:14,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,054 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,055 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:14,056 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=14.1, mean=-0.126, std=2.711, absmax=14.1 +2025-11-04 13:54:14,056 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.13, max=11.67, mean=-0.116, std=2.521, absmax=12.13 +2025-11-04 13:54:14,413 ERROR: Encountered non-finite generator loss at iter 25584; skipping update. +2025-11-04 13:54:14,414 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,414 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,415 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,415 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:14,416 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=14.37, mean=-0.05449, std=3.031, absmax=14.37 +2025-11-04 13:54:14,416 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=13.47, mean=-0.03668, std=2.713, absmax=13.47 +2025-11-04 13:54:14,772 ERROR: Encountered non-finite generator loss at iter 25585; skipping update. +2025-11-04 13:54:14,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,774 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:14,775 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:14,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.73, max=12.38, mean=-0.2626, std=2.527, absmax=14.73 +2025-11-04 13:54:14,776 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.94, max=11.28, mean=-0.2406, std=2.318, absmax=12.94 +2025-11-04 13:54:15,132 ERROR: Encountered non-finite generator loss at iter 25586; skipping update. +2025-11-04 13:54:15,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,134 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:15,135 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.2, max=11.37, mean=-0.162, std=3.287, absmax=15.2 +2025-11-04 13:54:15,136 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.08, mean=-0.1236, std=3.232, absmax=12.81 +2025-11-04 13:54:15,492 ERROR: Encountered non-finite generator loss at iter 25587; skipping update. +2025-11-04 13:54:15,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:15,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=15.16, mean=0.1299, std=3.782, absmax=15.16 +2025-11-04 13:54:15,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=15.04, mean=0.1232, std=3.742, absmax=15.04 +2025-11-04 13:54:15,852 ERROR: Encountered non-finite generator loss at iter 25588; skipping update. +2025-11-04 13:54:15,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:15,854 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:15,855 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.23, max=12.99, mean=-0.1867, std=3.131, absmax=13.23 +2025-11-04 13:54:15,856 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.18, max=11.42, mean=-0.1914, std=2.9, absmax=13.18 +2025-11-04 13:54:16,212 ERROR: Encountered non-finite generator loss at iter 25589; skipping update. +2025-11-04 13:54:16,213 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,214 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,214 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,214 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:16,215 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.74, mean=-0.1804, std=3.432, absmax=12.97 +2025-11-04 13:54:16,216 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.04, max=11.23, mean=-0.1372, std=3.111, absmax=12.04 +2025-11-04 13:54:16,572 ERROR: Encountered non-finite generator loss at iter 25590; skipping update. +2025-11-04 13:54:16,573 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,573 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,574 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,574 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:16,575 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.95, mean=-0.1159, std=3.196, absmax=13.95 +2025-11-04 13:54:16,575 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.29, max=12.3, mean=-0.0983, std=2.964, absmax=12.3 +2025-11-04 13:54:16,932 ERROR: Encountered non-finite generator loss at iter 25591; skipping update. +2025-11-04 13:54:16,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,934 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,934 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:16,935 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:16,935 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.14, max=15.94, mean=0.01027, std=3.468, absmax=15.94 +2025-11-04 13:54:16,936 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.58, max=16.06, mean=0.0004339, std=3.18, absmax=16.06 +2025-11-04 13:54:17,292 ERROR: Encountered non-finite generator loss at iter 25592; skipping update. +2025-11-04 13:54:17,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:17,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:17,294 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:17,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:17,295 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.15, max=12.56, mean=-0.1578, std=3.123, absmax=14.15 +2025-11-04 13:54:17,296 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=11.1, mean=-0.1435, std=2.921, absmax=11.79 +2025-11-04 13:54:17,652 ERROR: Encountered non-finite generator loss at iter 25593; skipping update. +2025-11-04 13:54:17,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:17,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:17,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:17,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:17,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.81, max=15.14, mean=-0.09025, std=3.528, absmax=15.14 +2025-11-04 13:54:17,655 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=11.48, mean=-0.1003, std=3.232, absmax=12.81 +2025-11-04 13:54:18,012 ERROR: Encountered non-finite generator loss at iter 25594; skipping update. +2025-11-04 13:54:18,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,013 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,013 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:18,014 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.71, max=12.14, mean=-0.2796, std=2.66, absmax=12.14 +2025-11-04 13:54:18,015 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.51, max=9.721, mean=-0.285, std=2.498, absmax=10.51 +2025-11-04 13:54:18,371 ERROR: Encountered non-finite generator loss at iter 25595; skipping update. +2025-11-04 13:54:18,372 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,373 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,373 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:18,374 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.96, max=11.94, mean=-0.1456, std=2.769, absmax=12.96 +2025-11-04 13:54:18,374 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=10.89, mean=-0.1406, std=2.645, absmax=11.12 +2025-11-04 13:54:18,731 ERROR: Encountered non-finite generator loss at iter 25596; skipping update. +2025-11-04 13:54:18,732 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,733 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:18,733 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:18,734 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=15.4, mean=-0.09762, std=2.771, absmax=15.4 +2025-11-04 13:54:18,735 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.77, max=13.83, mean=-0.09257, std=2.537, absmax=13.83 +2025-11-04 13:54:19,091 ERROR: Encountered non-finite generator loss at iter 25597; skipping update. +2025-11-04 13:54:19,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:19,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=13.61, mean=-0.2056, std=2.924, absmax=13.61 +2025-11-04 13:54:19,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.41, max=12.1, mean=-0.1666, std=2.708, absmax=12.1 +2025-11-04 13:54:19,452 ERROR: Encountered non-finite generator loss at iter 25598; skipping update. +2025-11-04 13:54:19,454 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,454 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,454 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,455 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:19,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.52, max=16.24, mean=-0.1636, std=3.027, absmax=16.24 +2025-11-04 13:54:19,456 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=13.86, mean=-0.1826, std=2.77, absmax=13.86 +2025-11-04 13:54:19,812 ERROR: Encountered non-finite generator loss at iter 25599; skipping update. +2025-11-04 13:54:19,813 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:19,814 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:19,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.79, mean=-0.2628, std=2.65, absmax=13.79 +2025-11-04 13:54:19,816 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.32, max=11.64, mean=-0.2394, std=2.536, absmax=12.32 +2025-11-04 13:54:20,172 ERROR: Encountered non-finite generator loss at iter 25600; skipping update. +2025-11-04 13:54:20,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,173 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,173 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,174 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:20,174 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.94, max=13.57, mean=-0.2524, std=3.441, absmax=13.94 +2025-11-04 13:54:20,175 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.98, max=12.17, mean=-0.2478, std=3.21, absmax=13.98 +2025-11-04 13:54:20,176 INFO: [38..][epoch: 0, step: 25,600, lr:(2.000e-04,)] [eta: 1 day, 2:51:41, time (data): 0.360 (0.000)] +2025-11-04 13:54:20,532 ERROR: Encountered non-finite generator loss at iter 25601; skipping update. +2025-11-04 13:54:20,533 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,534 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,534 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:20,535 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.47, max=11.63, mean=-0.1166, std=3.14, absmax=11.63 +2025-11-04 13:54:20,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.33, max=10.88, mean=-0.1382, std=2.925, absmax=10.88 +2025-11-04 13:54:20,892 ERROR: Encountered non-finite generator loss at iter 25602; skipping update. +2025-11-04 13:54:20,893 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:20,895 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:20,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.75, max=12.77, mean=-0.009919, std=3.082, absmax=13.75 +2025-11-04 13:54:20,896 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.64, max=11.67, mean=0.01358, std=2.82, absmax=12.64 +2025-11-04 13:54:21,252 ERROR: Encountered non-finite generator loss at iter 25603; skipping update. +2025-11-04 13:54:21,253 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,254 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,254 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,254 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:21,255 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=13.78, mean=-0.00873, std=3.136, absmax=13.78 +2025-11-04 13:54:21,255 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.84, max=12.58, mean=-0.008427, std=2.882, absmax=12.58 +2025-11-04 13:54:21,612 ERROR: Encountered non-finite generator loss at iter 25604; skipping update. +2025-11-04 13:54:21,613 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,614 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:21,615 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.1, max=13.53, mean=-0.2864, std=2.757, absmax=14.1 +2025-11-04 13:54:21,615 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.53, mean=-0.2788, std=2.545, absmax=11.89 +2025-11-04 13:54:21,972 ERROR: Encountered non-finite generator loss at iter 25605; skipping update. +2025-11-04 13:54:21,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,973 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,974 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:21,974 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:21,975 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=11.87, mean=-0.1764, std=2.944, absmax=13.03 +2025-11-04 13:54:21,975 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.05, max=10.76, mean=-0.1345, std=2.767, absmax=12.05 +2025-11-04 13:54:22,332 ERROR: Encountered non-finite generator loss at iter 25606; skipping update. +2025-11-04 13:54:22,333 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:22,334 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:22,334 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:22,334 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:22,335 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=12.7, mean=0.02678, std=2.899, absmax=12.7 +2025-11-04 13:54:22,335 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.6, mean=-0.003304, std=2.696, absmax=11.91 +2025-11-04 13:54:22,692 ERROR: Encountered non-finite generator loss at iter 25607; skipping update. +2025-11-04 13:54:22,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:22,693 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:22,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:22,694 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:22,695 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=14, mean=-0.1049, std=2.967, absmax=14 +2025-11-04 13:54:22,695 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.54, max=12.24, mean=-0.1274, std=2.702, absmax=12.24 +2025-11-04 13:54:23,052 ERROR: Encountered non-finite generator loss at iter 25608; skipping update. +2025-11-04 13:54:23,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,053 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,054 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:23,054 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=10.99, mean=-0.1734, std=2.325, absmax=12.27 +2025-11-04 13:54:23,055 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.838, max=8.735, mean=-0.1489, std=2.234, absmax=9.838 +2025-11-04 13:54:23,412 ERROR: Encountered non-finite generator loss at iter 25609; skipping update. +2025-11-04 13:54:23,413 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,413 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,414 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,414 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:23,415 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.61, max=20.66, mean=0.09119, std=3.748, absmax=20.66 +2025-11-04 13:54:23,415 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=18.69, mean=0.06183, std=3.545, absmax=18.69 +2025-11-04 13:54:23,772 ERROR: Encountered non-finite generator loss at iter 25610; skipping update. +2025-11-04 13:54:23,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,773 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,774 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:23,774 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:23,775 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=12.79, mean=-0.2649, std=3.112, absmax=15.11 +2025-11-04 13:54:23,775 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.66, max=11.88, mean=-0.2284, std=2.858, absmax=13.66 +2025-11-04 13:54:24,132 ERROR: Encountered non-finite generator loss at iter 25611; skipping update. +2025-11-04 13:54:24,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,133 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,134 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:24,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.75, max=17.41, mean=0.03698, std=2.913, absmax=17.41 +2025-11-04 13:54:24,135 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=13.16, mean=0.04616, std=2.692, absmax=13.16 +2025-11-04 13:54:24,491 ERROR: Encountered non-finite generator loss at iter 25612; skipping update. +2025-11-04 13:54:24,492 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,493 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,493 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:24,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=11, mean=-0.146, std=2.631, absmax=12.39 +2025-11-04 13:54:24,496 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=9.748, mean=-0.1824, std=2.508, absmax=11.26 +2025-11-04 13:54:24,855 ERROR: Encountered non-finite generator loss at iter 25613; skipping update. +2025-11-04 13:54:24,856 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,856 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:24,857 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:24,857 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.91, max=14.55, mean=0.03924, std=3.263, absmax=14.55 +2025-11-04 13:54:24,858 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=13.11, mean=0.02899, std=2.991, absmax=13.11 +2025-11-04 13:54:25,215 ERROR: Encountered non-finite generator loss at iter 25614; skipping update. +2025-11-04 13:54:25,216 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,216 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,217 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,217 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:25,218 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.36, max=15.63, mean=-0.2621, std=3.239, absmax=15.63 +2025-11-04 13:54:25,218 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.83, max=11.64, mean=-0.2756, std=3.061, absmax=11.83 +2025-11-04 13:54:25,575 ERROR: Encountered non-finite generator loss at iter 25615; skipping update. +2025-11-04 13:54:25,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,578 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,578 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:25,579 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.55, max=10.89, mean=-0.2589, std=2.483, absmax=10.89 +2025-11-04 13:54:25,579 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=9.424, mean=-0.2368, std=2.364, absmax=10.35 +2025-11-04 13:54:25,936 ERROR: Encountered non-finite generator loss at iter 25616; skipping update. +2025-11-04 13:54:25,937 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,938 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,938 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:25,938 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:25,939 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=10.31, mean=-0.3181, std=2.719, absmax=12.73 +2025-11-04 13:54:25,940 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=8.888, mean=-0.3364, std=2.648, absmax=11.49 +2025-11-04 13:54:26,296 ERROR: Encountered non-finite generator loss at iter 25617; skipping update. +2025-11-04 13:54:26,297 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:26,298 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:26,298 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:26,298 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:26,299 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.53, max=14.27, mean=-0.2152, std=3.365, absmax=14.53 +2025-11-04 13:54:26,300 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=11.73, mean=-0.2219, std=3.21, absmax=13.24 +2025-11-04 13:54:26,656 ERROR: Encountered non-finite generator loss at iter 25618; skipping update. +2025-11-04 13:54:26,657 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:26,658 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:26,658 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:26,658 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:26,659 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=11.55, mean=-0.2701, std=3.196, absmax=12.56 +2025-11-04 13:54:26,660 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=9.413, mean=-0.2731, std=2.909, absmax=11.57 +2025-11-04 13:54:27,016 ERROR: Encountered non-finite generator loss at iter 25619; skipping update. +2025-11-04 13:54:27,017 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,018 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,018 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:27,019 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=13.73, mean=-0.08225, std=3.349, absmax=14.34 +2025-11-04 13:54:27,019 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.24, max=12.4, mean=-0.07392, std=3.011, absmax=13.24 +2025-11-04 13:54:27,377 ERROR: Encountered non-finite generator loss at iter 25620; skipping update. +2025-11-04 13:54:27,378 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,378 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,379 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,379 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:27,380 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.88, max=13.51, mean=-0.1778, std=3.494, absmax=15.88 +2025-11-04 13:54:27,380 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.54, max=11.88, mean=-0.1745, std=3.31, absmax=13.54 +2025-11-04 13:54:27,738 ERROR: Encountered non-finite generator loss at iter 25621; skipping update. +2025-11-04 13:54:27,739 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:27,740 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:27,741 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=13.49, mean=-0.2042, std=2.713, absmax=13.49 +2025-11-04 13:54:27,741 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=10.18, mean=-0.1728, std=2.511, absmax=10.74 +2025-11-04 13:54:28,098 ERROR: Encountered non-finite generator loss at iter 25622; skipping update. +2025-11-04 13:54:28,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,100 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:28,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=18.3, mean=-0.08834, std=2.948, absmax=18.3 +2025-11-04 13:54:28,101 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=15.04, mean=-0.09586, std=2.74, absmax=15.04 +2025-11-04 13:54:28,458 ERROR: Encountered non-finite generator loss at iter 25623; skipping update. +2025-11-04 13:54:28,459 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,460 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,460 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,461 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:28,461 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=12.2, mean=-0.2017, std=3.018, absmax=12.46 +2025-11-04 13:54:28,462 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=11.29, mean=-0.1618, std=2.795, absmax=12.28 +2025-11-04 13:54:28,819 ERROR: Encountered non-finite generator loss at iter 25624; skipping update. +2025-11-04 13:54:28,820 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,820 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,820 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:28,821 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:28,822 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.86, max=16.27, mean=-0.1229, std=3.173, absmax=16.27 +2025-11-04 13:54:28,822 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.24, max=12.86, mean=-0.1276, std=2.818, absmax=12.86 +2025-11-04 13:54:29,179 ERROR: Encountered non-finite generator loss at iter 25625; skipping update. +2025-11-04 13:54:29,180 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,180 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,181 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:29,181 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=13.07, mean=-0.3363, std=3.167, absmax=13.07 +2025-11-04 13:54:29,182 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=11.85, mean=-0.3015, std=2.976, absmax=12.56 +2025-11-04 13:54:29,540 ERROR: Encountered non-finite generator loss at iter 25626; skipping update. +2025-11-04 13:54:29,541 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,542 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,542 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:29,543 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.11, max=12.7, mean=-0.1501, std=3.358, absmax=13.11 +2025-11-04 13:54:29,543 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=11.94, mean=-0.124, std=3.225, absmax=11.94 +2025-11-04 13:54:29,900 ERROR: Encountered non-finite generator loss at iter 25627; skipping update. +2025-11-04 13:54:29,901 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,902 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:29,902 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:29,903 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=13.82, mean=-0.02787, std=2.899, absmax=14.02 +2025-11-04 13:54:29,904 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.04, max=12.78, mean=0.006716, std=2.752, absmax=12.78 +2025-11-04 13:54:30,260 ERROR: Encountered non-finite generator loss at iter 25628; skipping update. +2025-11-04 13:54:30,262 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,263 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,263 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:30,264 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.94, max=15.81, mean=0.08209, std=3.432, absmax=15.81 +2025-11-04 13:54:30,264 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=12.42, mean=0.1046, std=3.176, absmax=13.05 +2025-11-04 13:54:30,621 ERROR: Encountered non-finite generator loss at iter 25629; skipping update. +2025-11-04 13:54:30,622 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,622 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,623 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,623 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:30,624 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=14.28, mean=-0.1891, std=2.82, absmax=14.28 +2025-11-04 13:54:30,624 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=10.83, mean=-0.2042, std=2.62, absmax=11.15 +2025-11-04 13:54:30,981 ERROR: Encountered non-finite generator loss at iter 25630; skipping update. +2025-11-04 13:54:30,982 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,982 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,983 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:30,983 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:30,984 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.68, max=12.52, mean=-0.102, std=2.536, absmax=12.52 +2025-11-04 13:54:30,985 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.87, max=9.946, mean=-0.08609, std=2.409, absmax=10.87 +2025-11-04 13:54:31,342 ERROR: Encountered non-finite generator loss at iter 25631; skipping update. +2025-11-04 13:54:31,343 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:31,344 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:31,344 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:31,344 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:31,345 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=14.97, mean=-0.1948, std=3.114, absmax=14.97 +2025-11-04 13:54:31,345 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.43, max=13.54, mean=-0.177, std=2.89, absmax=13.54 +2025-11-04 13:54:31,703 ERROR: Encountered non-finite generator loss at iter 25632; skipping update. +2025-11-04 13:54:31,704 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:31,705 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:31,705 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:31,705 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:31,706 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.82, max=9.577, mean=-0.1468, std=2.744, absmax=10.82 +2025-11-04 13:54:31,707 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=9.958, mean=-0.1219, std=2.649, absmax=10.42 +2025-11-04 13:54:32,064 ERROR: Encountered non-finite generator loss at iter 25633; skipping update. +2025-11-04 13:54:32,065 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,065 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,066 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,066 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:32,067 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=14.86, mean=-0.3799, std=3.967, absmax=14.86 +2025-11-04 13:54:32,068 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.07, max=13.68, mean=-0.3538, std=3.654, absmax=14.07 +2025-11-04 13:54:32,426 ERROR: Encountered non-finite generator loss at iter 25634; skipping update. +2025-11-04 13:54:32,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,427 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,428 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:32,428 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.32, max=10.33, mean=-0.1572, std=2.529, absmax=10.33 +2025-11-04 13:54:32,429 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.01, max=8.961, mean=-0.1285, std=2.411, absmax=10.01 +2025-11-04 13:54:32,786 ERROR: Encountered non-finite generator loss at iter 25635; skipping update. +2025-11-04 13:54:32,788 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,789 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:32,789 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:32,790 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.13, mean=0.02355, std=3.583, absmax=13.13 +2025-11-04 13:54:32,790 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.99, max=12.05, mean=0.01903, std=3.268, absmax=12.05 +2025-11-04 13:54:33,148 ERROR: Encountered non-finite generator loss at iter 25636; skipping update. +2025-11-04 13:54:33,149 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,149 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,150 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,150 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:33,151 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.61, max=15.39, mean=-0.1779, std=2.955, absmax=15.61 +2025-11-04 13:54:33,151 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=13.63, mean=-0.1571, std=2.687, absmax=13.63 +2025-11-04 13:54:33,509 ERROR: Encountered non-finite generator loss at iter 25637; skipping update. +2025-11-04 13:54:33,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,510 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,510 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,511 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:33,511 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.34, max=11.35, mean=-0.3228, std=3.391, absmax=14.34 +2025-11-04 13:54:33,512 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.36, max=9.609, mean=-0.3466, std=3.278, absmax=14.36 +2025-11-04 13:54:33,868 ERROR: Encountered non-finite generator loss at iter 25638; skipping update. +2025-11-04 13:54:33,869 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,870 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:33,871 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:33,872 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.19, mean=0.03049, std=3.265, absmax=13.19 +2025-11-04 13:54:33,872 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.93, max=12.48, mean=0.06116, std=2.97, absmax=12.48 +2025-11-04 13:54:34,229 ERROR: Encountered non-finite generator loss at iter 25639; skipping update. +2025-11-04 13:54:34,231 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,232 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:34,233 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=14.8, mean=-0.04709, std=3.139, absmax=14.8 +2025-11-04 13:54:34,233 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.483, max=14.59, mean=-0.03913, std=3.041, absmax=14.59 +2025-11-04 13:54:34,590 ERROR: Encountered non-finite generator loss at iter 25640; skipping update. +2025-11-04 13:54:34,591 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,592 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,592 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:34,593 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=13.56, mean=-0.2787, std=2.469, absmax=13.56 +2025-11-04 13:54:34,594 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.03, max=12.42, mean=-0.2504, std=2.322, absmax=12.42 +2025-11-04 13:54:34,951 ERROR: Encountered non-finite generator loss at iter 25641; skipping update. +2025-11-04 13:54:34,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:34,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:34,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=16.89, mean=-0.1129, std=3.192, absmax=16.89 +2025-11-04 13:54:34,954 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=12.77, mean=-0.1041, std=2.907, absmax=12.77 +2025-11-04 13:54:35,312 ERROR: Encountered non-finite generator loss at iter 25642; skipping update. +2025-11-04 13:54:35,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:35,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:35,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:35,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:35,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.57, max=12.22, mean=-0.1942, std=3.095, absmax=12.57 +2025-11-04 13:54:35,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.7, mean=-0.1654, std=2.867, absmax=11.7 +2025-11-04 13:54:35,672 ERROR: Encountered non-finite generator loss at iter 25643; skipping update. +2025-11-04 13:54:35,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:35,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:35,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:35,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:35,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.6, mean=-0.2898, std=3.042, absmax=13.19 +2025-11-04 13:54:35,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.92, max=10.9, mean=-0.2883, std=2.81, absmax=12.92 +2025-11-04 13:54:36,032 ERROR: Encountered non-finite generator loss at iter 25644; skipping update. +2025-11-04 13:54:36,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:36,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.03, mean=-0.2442, std=3.083, absmax=12.99 +2025-11-04 13:54:36,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=9.55, mean=-0.1998, std=2.915, absmax=12.29 +2025-11-04 13:54:36,392 ERROR: Encountered non-finite generator loss at iter 25645; skipping update. +2025-11-04 13:54:36,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:36,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=12.35, mean=-0.142, std=3.159, absmax=13.19 +2025-11-04 13:54:36,395 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=12.04, mean=-0.1335, std=3.117, absmax=13 +2025-11-04 13:54:36,752 ERROR: Encountered non-finite generator loss at iter 25646; skipping update. +2025-11-04 13:54:36,753 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:36,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:36,755 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.13, max=13.06, mean=0.009631, std=3.093, absmax=13.13 +2025-11-04 13:54:36,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=11.48, mean=-0.008603, std=2.778, absmax=11.48 +2025-11-04 13:54:37,113 ERROR: Encountered non-finite generator loss at iter 25647; skipping update. +2025-11-04 13:54:37,114 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,115 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,115 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:37,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.87, max=14.23, mean=-0.1078, std=3.231, absmax=14.23 +2025-11-04 13:54:37,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.63, max=12.64, mean=-0.07877, std=3.009, absmax=14.63 +2025-11-04 13:54:37,473 ERROR: Encountered non-finite generator loss at iter 25648; skipping update. +2025-11-04 13:54:37,474 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,475 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,475 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:37,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=13.24, mean=-0.2204, std=2.625, absmax=13.24 +2025-11-04 13:54:37,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.53, max=10.95, mean=-0.189, std=2.398, absmax=10.95 +2025-11-04 13:54:37,833 ERROR: Encountered non-finite generator loss at iter 25649; skipping update. +2025-11-04 13:54:37,834 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,835 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:37,835 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:37,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.83, mean=0.04645, std=3.408, absmax=14.83 +2025-11-04 13:54:37,836 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.97, max=12.75, mean=0.06923, std=3.207, absmax=12.97 +2025-11-04 13:54:38,193 ERROR: Encountered non-finite generator loss at iter 25650; skipping update. +2025-11-04 13:54:38,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:38,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=11.89, mean=-0.1391, std=2.442, absmax=12.87 +2025-11-04 13:54:38,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.05, max=9.556, mean=-0.14, std=2.282, absmax=11.05 +2025-11-04 13:54:38,553 ERROR: Encountered non-finite generator loss at iter 25651; skipping update. +2025-11-04 13:54:38,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,555 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,555 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:38,556 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.23, max=11.97, mean=-0.3259, std=2.572, absmax=12.23 +2025-11-04 13:54:38,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=9.511, mean=-0.3292, std=2.511, absmax=11.32 +2025-11-04 13:54:38,913 ERROR: Encountered non-finite generator loss at iter 25652; skipping update. +2025-11-04 13:54:38,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:38,916 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:38,916 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=11.79, mean=-0.1847, std=2.823, absmax=12.79 +2025-11-04 13:54:38,917 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=10.7, mean=-0.1788, std=2.647, absmax=12.2 +2025-11-04 13:54:39,273 ERROR: Encountered non-finite generator loss at iter 25653; skipping update. +2025-11-04 13:54:39,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,276 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:39,276 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.78, mean=-0.2271, std=3.017, absmax=12.33 +2025-11-04 13:54:39,277 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=10.44, mean=-0.2133, std=2.743, absmax=12.66 +2025-11-04 13:54:39,634 ERROR: Encountered non-finite generator loss at iter 25654; skipping update. +2025-11-04 13:54:39,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,636 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:39,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.63, max=11.63, mean=-0.3956, std=2.796, absmax=13.63 +2025-11-04 13:54:39,637 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=12.32, mean=-0.3687, std=2.689, absmax=12.45 +2025-11-04 13:54:39,993 ERROR: Encountered non-finite generator loss at iter 25655; skipping update. +2025-11-04 13:54:39,994 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,995 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,995 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:39,996 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:39,997 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=13.32, mean=-0.02202, std=3.028, absmax=13.32 +2025-11-04 13:54:39,997 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=12.03, mean=-0.03594, std=2.826, absmax=12.03 +2025-11-04 13:54:40,354 ERROR: Encountered non-finite generator loss at iter 25656; skipping update. +2025-11-04 13:54:40,355 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:40,356 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:40,356 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:40,356 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:40,357 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=13.36, mean=-0.2212, std=2.955, absmax=13.5 +2025-11-04 13:54:40,357 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.13, max=10.92, mean=-0.2643, std=2.726, absmax=11.13 +2025-11-04 13:54:40,714 ERROR: Encountered non-finite generator loss at iter 25657; skipping update. +2025-11-04 13:54:40,715 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:40,716 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:40,716 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:40,716 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:40,717 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=13.21, mean=-0.1828, std=2.568, absmax=14.83 +2025-11-04 13:54:40,717 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=12.15, mean=-0.1492, std=2.398, absmax=12.37 +2025-11-04 13:54:41,073 ERROR: Encountered non-finite generator loss at iter 25658; skipping update. +2025-11-04 13:54:41,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,075 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:41,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.01, max=13.74, mean=-0.06912, std=3.759, absmax=13.74 +2025-11-04 13:54:41,077 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=12.7, mean=-0.06927, std=3.483, absmax=13.01 +2025-11-04 13:54:41,433 ERROR: Encountered non-finite generator loss at iter 25659; skipping update. +2025-11-04 13:54:41,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,435 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:41,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.95, mean=0.03641, std=3.225, absmax=13.95 +2025-11-04 13:54:41,436 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=13.1, mean=0.0804, std=3.135, absmax=13.1 +2025-11-04 13:54:41,793 ERROR: Encountered non-finite generator loss at iter 25660; skipping update. +2025-11-04 13:54:41,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:41,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:41,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.12, max=14.64, mean=0.003551, std=3.417, absmax=14.64 +2025-11-04 13:54:41,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.47, max=13.38, mean=0.01284, std=3.241, absmax=13.38 +2025-11-04 13:54:42,152 ERROR: Encountered non-finite generator loss at iter 25661; skipping update. +2025-11-04 13:54:42,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:42,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.17, max=14.13, mean=-0.1414, std=2.981, absmax=17.17 +2025-11-04 13:54:42,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.57, max=10.72, mean=-0.1182, std=2.814, absmax=13.57 +2025-11-04 13:54:42,512 ERROR: Encountered non-finite generator loss at iter 25662; skipping update. +2025-11-04 13:54:42,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:42,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.74, max=13.45, mean=-0.1341, std=2.5, absmax=13.45 +2025-11-04 13:54:42,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.703, max=11.18, mean=-0.1261, std=2.243, absmax=11.18 +2025-11-04 13:54:42,872 ERROR: Encountered non-finite generator loss at iter 25663; skipping update. +2025-11-04 13:54:42,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:42,874 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:42,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=15.16, mean=0.06874, std=3.438, absmax=15.16 +2025-11-04 13:54:42,875 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.788, max=15.04, mean=0.05106, std=3.369, absmax=15.04 +2025-11-04 13:54:43,232 ERROR: Encountered non-finite generator loss at iter 25664; skipping update. +2025-11-04 13:54:43,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:43,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.89, max=15.96, mean=-0.1452, std=3.377, absmax=15.96 +2025-11-04 13:54:43,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=12.24, mean=-0.1371, std=3.138, absmax=13.12 +2025-11-04 13:54:43,593 ERROR: Encountered non-finite generator loss at iter 25665; skipping update. +2025-11-04 13:54:43,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:43,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.62, max=13.94, mean=-0.09807, std=2.882, absmax=13.94 +2025-11-04 13:54:43,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=12.34, mean=-0.09909, std=2.623, absmax=12.34 +2025-11-04 13:54:43,952 ERROR: Encountered non-finite generator loss at iter 25666; skipping update. +2025-11-04 13:54:43,954 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,954 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:43,955 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:43,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.85, max=13.05, mean=-0.04148, std=2.949, absmax=13.05 +2025-11-04 13:54:43,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.57, max=12.42, mean=-0.07062, std=2.675, absmax=12.42 +2025-11-04 13:54:44,312 ERROR: Encountered non-finite generator loss at iter 25667; skipping update. +2025-11-04 13:54:44,314 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:44,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:44,315 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:44,315 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:44,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.13, max=12.97, mean=-0.01731, std=3.307, absmax=12.97 +2025-11-04 13:54:44,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.42, max=12.01, mean=-0.000185, std=3.037, absmax=12.01 +2025-11-04 13:54:44,673 ERROR: Encountered non-finite generator loss at iter 25668; skipping update. +2025-11-04 13:54:44,674 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:44,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:44,675 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:44,675 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:44,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=9.873, mean=-0.294, std=2.777, absmax=14.2 +2025-11-04 13:54:44,676 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.72, max=9.761, mean=-0.3113, std=2.719, absmax=12.72 +2025-11-04 13:54:45,033 ERROR: Encountered non-finite generator loss at iter 25669; skipping update. +2025-11-04 13:54:45,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:45,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.23, mean=-0.118, std=2.943, absmax=12.97 +2025-11-04 13:54:45,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.14, mean=-0.0957, std=2.667, absmax=11.15 +2025-11-04 13:54:45,393 ERROR: Encountered non-finite generator loss at iter 25670; skipping update. +2025-11-04 13:54:45,394 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,395 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:45,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.44, max=13.18, mean=-0.2184, std=2.538, absmax=13.18 +2025-11-04 13:54:45,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.57, max=12.03, mean=-0.2267, std=2.363, absmax=12.03 +2025-11-04 13:54:45,754 ERROR: Encountered non-finite generator loss at iter 25671; skipping update. +2025-11-04 13:54:45,755 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,756 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:45,756 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:45,757 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=13.18, mean=-0.1146, std=3.306, absmax=13.18 +2025-11-04 13:54:45,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=11.36, mean=-0.1506, std=3.003, absmax=12.56 +2025-11-04 13:54:46,114 ERROR: Encountered non-finite generator loss at iter 25672; skipping update. +2025-11-04 13:54:46,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,116 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:46,117 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.8, max=12.22, mean=-0.2951, std=2.541, absmax=12.22 +2025-11-04 13:54:46,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.38, max=9.702, mean=-0.2663, std=2.374, absmax=10.38 +2025-11-04 13:54:46,473 ERROR: Encountered non-finite generator loss at iter 25673; skipping update. +2025-11-04 13:54:46,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,475 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,476 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,476 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:46,477 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.82, max=12.65, mean=-0.1243, std=3.398, absmax=12.82 +2025-11-04 13:54:46,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.56, max=12.54, mean=-0.07035, std=3.247, absmax=12.56 +2025-11-04 13:54:46,835 ERROR: Encountered non-finite generator loss at iter 25674; skipping update. +2025-11-04 13:54:46,836 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,837 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,837 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:46,837 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:46,838 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.03, max=12.52, mean=-0.154, std=2.61, absmax=13.03 +2025-11-04 13:54:46,839 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=10.71, mean=-0.1305, std=2.43, absmax=11.62 +2025-11-04 13:54:47,195 ERROR: Encountered non-finite generator loss at iter 25675; skipping update. +2025-11-04 13:54:47,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,196 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,197 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,197 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:47,198 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.47, max=14.24, mean=-0.1178, std=2.935, absmax=14.24 +2025-11-04 13:54:47,198 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.71, max=12.85, mean=-0.09013, std=2.745, absmax=12.85 +2025-11-04 13:54:47,556 ERROR: Encountered non-finite generator loss at iter 25676; skipping update. +2025-11-04 13:54:47,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,558 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:47,559 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.16, max=12.77, mean=-0.02398, std=2.988, absmax=12.77 +2025-11-04 13:54:47,559 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.45, mean=-0.08311, std=2.649, absmax=11.34 +2025-11-04 13:54:47,916 ERROR: Encountered non-finite generator loss at iter 25677; skipping update. +2025-11-04 13:54:47,917 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:47,918 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:47,919 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=11.5, mean=-0.2899, std=2.943, absmax=11.93 +2025-11-04 13:54:47,920 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=10.63, mean=-0.2986, std=2.772, absmax=11.52 +2025-11-04 13:54:48,277 ERROR: Encountered non-finite generator loss at iter 25678; skipping update. +2025-11-04 13:54:48,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:48,278 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:48,279 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:48,279 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:48,280 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.42, max=13.26, mean=-0.05331, std=3.322, absmax=13.26 +2025-11-04 13:54:48,280 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.25, max=12.26, mean=-0.0543, std=3.069, absmax=12.26 +2025-11-04 13:54:48,637 ERROR: Encountered non-finite generator loss at iter 25679; skipping update. +2025-11-04 13:54:48,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:48,639 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:48,639 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:48,640 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:48,640 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=18.13, mean=-0.06705, std=3.475, absmax=18.13 +2025-11-04 13:54:48,641 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.39, max=14.2, mean=-0.09768, std=3.181, absmax=14.2 +2025-11-04 13:54:48,997 ERROR: Encountered non-finite generator loss at iter 25680; skipping update. +2025-11-04 13:54:48,999 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:48,999 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,000 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,000 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:49,001 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=12.46, mean=-0.2884, std=3.293, absmax=14.09 +2025-11-04 13:54:49,001 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.7, mean=-0.2995, std=3.022, absmax=12.42 +2025-11-04 13:54:49,358 ERROR: Encountered non-finite generator loss at iter 25681; skipping update. +2025-11-04 13:54:49,359 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,360 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:49,361 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.6, max=15.33, mean=-0.1944, std=2.787, absmax=15.33 +2025-11-04 13:54:49,361 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=12.49, mean=-0.1452, std=2.67, absmax=12.49 +2025-11-04 13:54:49,718 ERROR: Encountered non-finite generator loss at iter 25682; skipping update. +2025-11-04 13:54:49,719 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,720 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,720 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:49,720 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:49,721 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=12.34, mean=-0.2612, std=2.703, absmax=12.34 +2025-11-04 13:54:49,721 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=12.05, mean=-0.2467, std=2.538, absmax=12.05 +2025-11-04 13:54:50,078 ERROR: Encountered non-finite generator loss at iter 25683; skipping update. +2025-11-04 13:54:50,079 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,079 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,079 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,079 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:50,080 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.65, max=10.74, mean=-0.2187, std=2.488, absmax=10.74 +2025-11-04 13:54:50,081 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.339, max=10.54, mean=-0.1799, std=2.347, absmax=10.54 +2025-11-04 13:54:50,437 ERROR: Encountered non-finite generator loss at iter 25684; skipping update. +2025-11-04 13:54:50,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,440 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:50,440 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.64, max=17.28, mean=-0.02673, std=3.031, absmax=17.28 +2025-11-04 13:54:50,441 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=13.79, mean=-0.01855, std=2.735, absmax=13.79 +2025-11-04 13:54:50,797 ERROR: Encountered non-finite generator loss at iter 25685; skipping update. +2025-11-04 13:54:50,798 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,799 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,799 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:50,800 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:50,800 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=10.94, mean=-0.2035, std=2.737, absmax=12.06 +2025-11-04 13:54:50,801 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.35, max=9.371, mean=-0.2108, std=2.454, absmax=10.35 +2025-11-04 13:54:51,158 ERROR: Encountered non-finite generator loss at iter 25686; skipping update. +2025-11-04 13:54:51,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,160 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:51,160 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.14, max=12.05, mean=-0.2846, std=2.667, absmax=13.14 +2025-11-04 13:54:51,161 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=11.56, mean=-0.2897, std=2.496, absmax=11.56 +2025-11-04 13:54:51,518 ERROR: Encountered non-finite generator loss at iter 25687; skipping update. +2025-11-04 13:54:51,519 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,520 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:51,520 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.3, max=12.26, mean=-0.2302, std=3.15, absmax=12.3 +2025-11-04 13:54:51,521 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=9.872, mean=-0.2067, std=2.878, absmax=11.46 +2025-11-04 13:54:51,878 ERROR: Encountered non-finite generator loss at iter 25688; skipping update. +2025-11-04 13:54:51,879 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,880 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:51,882 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:51,883 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=11.46, mean=-0.2958, std=3.236, absmax=12.77 +2025-11-04 13:54:51,884 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.64, max=10.23, mean=-0.2433, std=2.934, absmax=11.64 +2025-11-04 13:54:52,241 ERROR: Encountered non-finite generator loss at iter 25689; skipping update. +2025-11-04 13:54:52,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,242 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,243 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:52,244 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.43, max=10.19, mean=-0.2252, std=2.698, absmax=13.43 +2025-11-04 13:54:52,244 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.39, max=9.626, mean=-0.174, std=2.526, absmax=11.39 +2025-11-04 13:54:52,601 ERROR: Encountered non-finite generator loss at iter 25690; skipping update. +2025-11-04 13:54:52,602 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,603 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:52,604 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=12.76, mean=-0.06948, std=2.906, absmax=12.76 +2025-11-04 13:54:52,604 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.92, max=12.75, mean=-0.09117, std=2.708, absmax=12.75 +2025-11-04 13:54:52,961 ERROR: Encountered non-finite generator loss at iter 25691; skipping update. +2025-11-04 13:54:52,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,963 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:52,963 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:52,964 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.42, max=12.03, mean=-0.04038, std=2.632, absmax=12.03 +2025-11-04 13:54:52,964 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=11.01, mean=-0.02517, std=2.491, absmax=11.67 +2025-11-04 13:54:53,322 ERROR: Encountered non-finite generator loss at iter 25692; skipping update. +2025-11-04 13:54:53,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:53,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:53,323 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:53,323 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:53,324 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.29, max=11.73, mean=-0.07685, std=2.961, absmax=11.73 +2025-11-04 13:54:53,324 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.68, max=10.73, mean=-0.1034, std=2.802, absmax=10.73 +2025-11-04 13:54:53,681 ERROR: Encountered non-finite generator loss at iter 25693; skipping update. +2025-11-04 13:54:53,682 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:53,682 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:53,683 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:53,683 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:53,684 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=11.45, mean=-0.172, std=2.748, absmax=12.41 +2025-11-04 13:54:53,685 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.81, max=10.6, mean=-0.157, std=2.616, absmax=10.81 +2025-11-04 13:54:54,043 ERROR: Encountered non-finite generator loss at iter 25694; skipping update. +2025-11-04 13:54:54,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,045 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:54,046 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.43, max=12.63, mean=-0.1912, std=2.586, absmax=12.63 +2025-11-04 13:54:54,046 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=12.31, mean=-0.1707, std=2.429, absmax=12.31 +2025-11-04 13:54:54,403 ERROR: Encountered non-finite generator loss at iter 25695; skipping update. +2025-11-04 13:54:54,405 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,406 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:54,406 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.09, max=10.53, mean=-0.2635, std=2.678, absmax=11.09 +2025-11-04 13:54:54,407 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.97, max=11.89, mean=-0.3027, std=2.572, absmax=11.89 +2025-11-04 13:54:54,764 ERROR: Encountered non-finite generator loss at iter 25696; skipping update. +2025-11-04 13:54:54,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:54,766 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:54,767 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.75, max=12.46, mean=-0.2075, std=3.202, absmax=12.75 +2025-11-04 13:54:54,768 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.09, max=11.74, mean=-0.121, std=2.885, absmax=11.74 +2025-11-04 13:54:55,125 ERROR: Encountered non-finite generator loss at iter 25697; skipping update. +2025-11-04 13:54:55,126 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,127 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,127 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,128 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:55,128 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=12.05, mean=-0.02462, std=3.286, absmax=12.21 +2025-11-04 13:54:55,129 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=11.06, mean=-0.02519, std=3.069, absmax=11.32 +2025-11-04 13:54:55,486 ERROR: Encountered non-finite generator loss at iter 25698; skipping update. +2025-11-04 13:54:55,487 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,487 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,488 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,488 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:55,489 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.22, max=14.38, mean=-0.07143, std=3.093, absmax=14.38 +2025-11-04 13:54:55,489 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=13.77, mean=-0.06763, std=2.908, absmax=13.77 +2025-11-04 13:54:55,847 ERROR: Encountered non-finite generator loss at iter 25699; skipping update. +2025-11-04 13:54:55,848 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,849 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:55,850 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:55,850 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.24, max=17.06, mean=-0.1424, std=2.649, absmax=17.06 +2025-11-04 13:54:55,851 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.95, max=13.68, mean=-0.1436, std=2.365, absmax=13.68 +2025-11-04 13:54:56,209 ERROR: Encountered non-finite generator loss at iter 25700; skipping update. +2025-11-04 13:54:56,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,211 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:56,212 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.02, max=11.18, mean=-0.1513, std=2.544, absmax=11.18 +2025-11-04 13:54:56,212 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.789, max=9.3, mean=-0.184, std=2.258, absmax=9.789 +2025-11-04 13:54:56,213 INFO: [38..][epoch: 0, step: 25,700, lr:(2.000e-04,)] [eta: 1 day, 2:46:07, time (data): 0.360 (0.000)] +2025-11-04 13:54:56,570 ERROR: Encountered non-finite generator loss at iter 25701; skipping update. +2025-11-04 13:54:56,571 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,571 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,572 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,572 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:56,573 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.41, max=12.39, mean=-0.3049, std=2.586, absmax=13.41 +2025-11-04 13:54:56,573 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.12, max=9.829, mean=-0.3515, std=2.4, absmax=11.12 +2025-11-04 13:54:56,931 ERROR: Encountered non-finite generator loss at iter 25702; skipping update. +2025-11-04 13:54:56,932 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,933 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:56,933 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:56,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.13, mean=-0.08381, std=3.121, absmax=14.13 +2025-11-04 13:54:56,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.33, max=12.52, mean=-0.08027, std=2.949, absmax=12.52 +2025-11-04 13:54:57,292 ERROR: Encountered non-finite generator loss at iter 25703; skipping update. +2025-11-04 13:54:57,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:57,293 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:57,293 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:57,294 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:57,294 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.23, max=11.9, mean=-0.104, std=2.826, absmax=14.23 +2025-11-04 13:54:57,295 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=10.99, mean=-0.06178, std=2.706, absmax=11.34 +2025-11-04 13:54:57,652 ERROR: Encountered non-finite generator loss at iter 25704; skipping update. +2025-11-04 13:54:57,653 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:57,654 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:57,654 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:57,654 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:57,655 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=13.24, mean=-0.03751, std=3.114, absmax=13.24 +2025-11-04 13:54:57,656 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=12.04, mean=-0.03206, std=2.808, absmax=12.04 +2025-11-04 13:54:58,012 ERROR: Encountered non-finite generator loss at iter 25705; skipping update. +2025-11-04 13:54:58,013 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,014 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,014 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,014 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:58,015 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.73, max=12.9, mean=-0.06729, std=3.295, absmax=12.9 +2025-11-04 13:54:58,016 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.49, max=12.92, mean=-0.03267, std=3.202, absmax=12.92 +2025-11-04 13:54:58,372 ERROR: Encountered non-finite generator loss at iter 25706; skipping update. +2025-11-04 13:54:58,373 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,374 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:58,375 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.19, max=10.26, mean=-0.0438, std=2.659, absmax=11.19 +2025-11-04 13:54:58,375 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.14, max=10.5, mean=-0.01125, std=2.557, absmax=10.5 +2025-11-04 13:54:58,732 ERROR: Encountered non-finite generator loss at iter 25707; skipping update. +2025-11-04 13:54:58,733 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,734 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,734 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:58,734 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:58,735 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.01, max=10.19, mean=-0.2189, std=2.696, absmax=11.01 +2025-11-04 13:54:58,736 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.867, max=9.083, mean=-0.2683, std=2.449, absmax=9.867 +2025-11-04 13:54:59,092 ERROR: Encountered non-finite generator loss at iter 25708; skipping update. +2025-11-04 13:54:59,093 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,093 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,094 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:59,094 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.32, max=12.21, mean=-0.03296, std=2.921, absmax=12.21 +2025-11-04 13:54:59,095 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=10.76, mean=0.00497, std=2.658, absmax=10.76 +2025-11-04 13:54:59,452 ERROR: Encountered non-finite generator loss at iter 25709; skipping update. +2025-11-04 13:54:59,452 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,453 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,454 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,454 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:59,455 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.86, mean=-0.1097, std=3.069, absmax=12.97 +2025-11-04 13:54:59,455 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.8, max=10.62, mean=-0.1101, std=2.739, absmax=11.8 +2025-11-04 13:54:59,812 ERROR: Encountered non-finite generator loss at iter 25710; skipping update. +2025-11-04 13:54:59,814 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:54:59,815 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:54:59,815 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.22, max=13.26, mean=-0.1788, std=3.607, absmax=13.26 +2025-11-04 13:54:59,816 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.89, max=10.92, mean=-0.1493, std=3.309, absmax=11.89 +2025-11-04 13:55:00,172 ERROR: Encountered non-finite generator loss at iter 25711; skipping update. +2025-11-04 13:55:00,173 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,174 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,174 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,175 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:00,175 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.65, max=13.62, mean=-0.1011, std=2.798, absmax=13.62 +2025-11-04 13:55:00,176 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.07, max=12.83, mean=-0.0678, std=2.657, absmax=12.83 +2025-11-04 13:55:00,533 ERROR: Encountered non-finite generator loss at iter 25712; skipping update. +2025-11-04 13:55:00,534 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,534 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,535 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,535 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:00,536 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.45, max=12.2, mean=-0.06242, std=2.833, absmax=12.45 +2025-11-04 13:55:00,536 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.94, max=11.8, mean=-0.05855, std=2.697, absmax=11.94 +2025-11-04 13:55:00,892 ERROR: Encountered non-finite generator loss at iter 25713; skipping update. +2025-11-04 13:55:00,893 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,894 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:00,894 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:00,895 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.39, max=13.53, mean=-0.05035, std=2.751, absmax=13.53 +2025-11-04 13:55:00,896 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.74, max=12.24, mean=-0.03785, std=2.584, absmax=12.24 +2025-11-04 13:55:01,253 ERROR: Encountered non-finite generator loss at iter 25714; skipping update. +2025-11-04 13:55:01,254 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,255 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,255 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,255 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:01,256 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=10.09, mean=-0.2804, std=2.506, absmax=12.53 +2025-11-04 13:55:01,257 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=7.976, mean=-0.2559, std=2.335, absmax=10.23 +2025-11-04 13:55:01,613 ERROR: Encountered non-finite generator loss at iter 25715; skipping update. +2025-11-04 13:55:01,614 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,615 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,615 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,616 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:01,616 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.61, mean=-0.2748, std=3.108, absmax=13.31 +2025-11-04 13:55:01,617 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.28, max=10.29, mean=-0.2765, std=2.898, absmax=12.28 +2025-11-04 13:55:01,973 ERROR: Encountered non-finite generator loss at iter 25716; skipping update. +2025-11-04 13:55:01,974 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,975 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:01,977 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:01,978 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.87, max=13.04, mean=-0.1892, std=3.165, absmax=13.04 +2025-11-04 13:55:01,979 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.37, max=12.31, mean=-0.1866, std=3.014, absmax=12.37 +2025-11-04 13:55:02,338 ERROR: Encountered non-finite generator loss at iter 25717; skipping update. +2025-11-04 13:55:02,340 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:02,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:02,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:02,341 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:02,342 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.9, max=16.28, mean=-0.2992, std=3.169, absmax=16.28 +2025-11-04 13:55:02,343 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=14.84, mean=-0.2801, std=2.917, absmax=14.84 +2025-11-04 13:55:02,706 ERROR: Encountered non-finite generator loss at iter 25718; skipping update. +2025-11-04 13:55:02,707 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:02,708 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:02,708 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:02,708 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:02,709 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.49, max=10.75, mean=-0.2929, std=2.873, absmax=11.49 +2025-11-04 13:55:02,709 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=9.916, mean=-0.2567, std=2.642, absmax=11.6 +2025-11-04 13:55:03,066 ERROR: Encountered non-finite generator loss at iter 25719; skipping update. +2025-11-04 13:55:03,068 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,069 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,069 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:03,069 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=14.82, mean=-0.1035, std=3.577, absmax=15.29 +2025-11-04 13:55:03,070 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.22, max=13.14, mean=-0.1073, std=3.33, absmax=13.22 +2025-11-04 13:55:03,427 ERROR: Encountered non-finite generator loss at iter 25720; skipping update. +2025-11-04 13:55:03,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,431 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:03,432 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.11, max=14.85, mean=-0.08086, std=3.779, absmax=14.85 +2025-11-04 13:55:03,433 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.66, max=13.21, mean=-0.0229, std=3.474, absmax=13.21 +2025-11-04 13:55:03,792 ERROR: Encountered non-finite generator loss at iter 25721; skipping update. +2025-11-04 13:55:03,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,793 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:03,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:03,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.92, max=10.32, mean=-0.2584, std=2.884, absmax=13.92 +2025-11-04 13:55:03,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=9.441, mean=-0.2562, std=2.767, absmax=12.84 +2025-11-04 13:55:04,156 ERROR: Encountered non-finite generator loss at iter 25722; skipping update. +2025-11-04 13:55:04,157 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,158 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,158 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:04,159 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.66, max=9.623, mean=-0.1867, std=2.541, absmax=11.66 +2025-11-04 13:55:04,160 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=8.222, mean=-0.1735, std=2.31, absmax=10.58 +2025-11-04 13:55:04,518 ERROR: Encountered non-finite generator loss at iter 25723; skipping update. +2025-11-04 13:55:04,520 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,521 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,522 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:04,522 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=13.42, mean=-0.2043, std=3.056, absmax=14.19 +2025-11-04 13:55:04,523 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.8, max=12.27, mean=-0.1839, std=2.927, absmax=12.8 +2025-11-04 13:55:04,881 ERROR: Encountered non-finite generator loss at iter 25724; skipping update. +2025-11-04 13:55:04,883 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,883 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,884 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:04,884 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:04,885 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.96, max=13.89, mean=-0.1434, std=3.101, absmax=13.89 +2025-11-04 13:55:04,886 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=11.63, mean=-0.1349, std=2.74, absmax=11.63 +2025-11-04 13:55:05,245 ERROR: Encountered non-finite generator loss at iter 25725; skipping update. +2025-11-04 13:55:05,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,248 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:05,249 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=11.58, mean=-0.2057, std=2.474, absmax=12.53 +2025-11-04 13:55:05,249 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=10.52, mean=-0.2144, std=2.421, absmax=11.32 +2025-11-04 13:55:05,608 ERROR: Encountered non-finite generator loss at iter 25726; skipping update. +2025-11-04 13:55:05,609 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,610 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:05,611 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.8, max=11.44, mean=-0.2216, std=2.707, absmax=11.44 +2025-11-04 13:55:05,611 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.02, max=10.61, mean=-0.2181, std=2.546, absmax=10.61 +2025-11-04 13:55:05,968 ERROR: Encountered non-finite generator loss at iter 25727; skipping update. +2025-11-04 13:55:05,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,970 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:05,970 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:05,971 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=15.7, mean=-0.2485, std=3.187, absmax=15.7 +2025-11-04 13:55:05,971 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13, max=14.18, mean=-0.2653, std=3.025, absmax=14.18 +2025-11-04 13:55:06,328 ERROR: Encountered non-finite generator loss at iter 25728; skipping update. +2025-11-04 13:55:06,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:06,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:06,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:06,330 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:06,331 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.92, max=12.09, mean=-0.299, std=2.655, absmax=12.92 +2025-11-04 13:55:06,332 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.07, max=10.46, mean=-0.2975, std=2.455, absmax=12.07 +2025-11-04 13:55:06,688 ERROR: Encountered non-finite generator loss at iter 25729; skipping update. +2025-11-04 13:55:06,689 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:06,690 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:06,690 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:06,691 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:06,691 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.93, max=13.52, mean=-0.1679, std=2.842, absmax=13.52 +2025-11-04 13:55:06,692 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=11.97, mean=-0.1418, std=2.626, absmax=11.97 +2025-11-04 13:55:07,049 ERROR: Encountered non-finite generator loss at iter 25730; skipping update. +2025-11-04 13:55:07,050 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,051 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,051 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,051 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:07,052 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.31, max=12.07, mean=-0.1073, std=3.03, absmax=13.31 +2025-11-04 13:55:07,053 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.86, max=11.21, mean=-0.1562, std=2.83, absmax=11.86 +2025-11-04 13:55:07,410 ERROR: Encountered non-finite generator loss at iter 25731; skipping update. +2025-11-04 13:55:07,411 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,412 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,413 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:07,413 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.4, max=11.56, mean=-0.1778, std=2.864, absmax=11.56 +2025-11-04 13:55:07,414 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.647, max=10.36, mean=-0.1607, std=2.64, absmax=10.36 +2025-11-04 13:55:07,771 ERROR: Encountered non-finite generator loss at iter 25732; skipping update. +2025-11-04 13:55:07,772 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,772 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,773 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:07,773 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:07,774 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.48, max=15.2, mean=-0.1862, std=3.063, absmax=15.2 +2025-11-04 13:55:07,775 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.52, max=12.31, mean=-0.1586, std=2.79, absmax=12.31 +2025-11-04 13:55:08,132 ERROR: Encountered non-finite generator loss at iter 25733; skipping update. +2025-11-04 13:55:08,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,133 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,134 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:08,134 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.32, max=15.71, mean=-0.2251, std=3.627, absmax=15.71 +2025-11-04 13:55:08,135 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.01, max=13.25, mean=-0.2024, std=3.463, absmax=13.25 +2025-11-04 13:55:08,492 ERROR: Encountered non-finite generator loss at iter 25734; skipping update. +2025-11-04 13:55:08,493 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,493 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,494 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:08,495 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=12.54, mean=-0.09547, std=3.219, absmax=12.77 +2025-11-04 13:55:08,495 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=11.78, mean=-0.07167, std=3.001, absmax=11.78 +2025-11-04 13:55:08,851 ERROR: Encountered non-finite generator loss at iter 25735; skipping update. +2025-11-04 13:55:08,852 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:08,853 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:08,854 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.19, max=12.33, mean=-0.3211, std=3.181, absmax=14.19 +2025-11-04 13:55:08,855 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=12.81, mean=-0.2936, std=2.937, absmax=12.91 +2025-11-04 13:55:09,211 ERROR: Encountered non-finite generator loss at iter 25736; skipping update. +2025-11-04 13:55:09,212 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,213 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:09,213 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.49, max=10.95, mean=-0.2268, std=2.839, absmax=12.49 +2025-11-04 13:55:09,214 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.91, max=9.922, mean=-0.2478, std=2.654, absmax=12.91 +2025-11-04 13:55:09,571 ERROR: Encountered non-finite generator loss at iter 25737; skipping update. +2025-11-04 13:55:09,572 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,572 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,573 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,573 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:09,574 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.81, max=15.13, mean=0.3427, std=3.799, absmax=16.81 +2025-11-04 13:55:09,574 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.38, max=14.79, mean=0.3306, std=3.566, absmax=14.79 +2025-11-04 13:55:09,932 ERROR: Encountered non-finite generator loss at iter 25738; skipping update. +2025-11-04 13:55:09,933 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,933 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,933 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:09,934 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:09,934 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.2, max=10.17, mean=-0.3523, std=2.943, absmax=14.2 +2025-11-04 13:55:09,935 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.7, max=8.904, mean=-0.3433, std=2.854, absmax=12.7 +2025-11-04 13:55:10,293 ERROR: Encountered non-finite generator loss at iter 25739; skipping update. +2025-11-04 13:55:10,294 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:10,294 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:10,294 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:10,295 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:10,296 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.91, max=13.29, mean=-0.2465, std=3.222, absmax=14.91 +2025-11-04 13:55:10,297 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.16, max=12.41, mean=-0.2305, std=2.928, absmax=12.41 +2025-11-04 13:55:10,654 ERROR: Encountered non-finite generator loss at iter 25740; skipping update. +2025-11-04 13:55:10,656 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:10,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:10,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:10,657 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:10,657 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.89, max=10.88, mean=-0.1685, std=2.384, absmax=10.89 +2025-11-04 13:55:10,658 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.352, max=10.43, mean=-0.174, std=2.197, absmax=10.43 +2025-11-04 13:55:11,014 ERROR: Encountered non-finite generator loss at iter 25741; skipping update. +2025-11-04 13:55:11,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,016 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:11,017 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=15.74, mean=0.06165, std=3.967, absmax=15.74 +2025-11-04 13:55:11,018 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.6, max=14.46, mean=0.06488, std=3.694, absmax=14.46 +2025-11-04 13:55:11,374 ERROR: Encountered non-finite generator loss at iter 25742; skipping update. +2025-11-04 13:55:11,375 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,376 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,376 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,376 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:11,377 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.19, max=13.23, mean=-0.1697, std=2.662, absmax=13.23 +2025-11-04 13:55:11,377 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=10.39, mean=-0.1418, std=2.437, absmax=11.91 +2025-11-04 13:55:11,735 ERROR: Encountered non-finite generator loss at iter 25743; skipping update. +2025-11-04 13:55:11,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:11,738 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:11,739 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=12.75, mean=-0.1985, std=2.904, absmax=13.74 +2025-11-04 13:55:11,739 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.42, max=10.07, mean=-0.1363, std=2.726, absmax=12.42 +2025-11-04 13:55:12,098 ERROR: Encountered non-finite generator loss at iter 25744; skipping update. +2025-11-04 13:55:12,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,099 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,100 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,100 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:12,101 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.5, max=11.81, mean=-0.3012, std=2.591, absmax=13.5 +2025-11-04 13:55:12,102 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.05, max=11.12, mean=-0.341, std=2.546, absmax=13.05 +2025-11-04 13:55:12,460 ERROR: Encountered non-finite generator loss at iter 25745; skipping update. +2025-11-04 13:55:12,462 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,463 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,463 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:12,464 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.83, max=12.79, mean=-0.3321, std=3.55, absmax=14.83 +2025-11-04 13:55:12,465 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.58, max=10.4, mean=-0.2985, std=3.311, absmax=14.58 +2025-11-04 13:55:12,823 ERROR: Encountered non-finite generator loss at iter 25746; skipping update. +2025-11-04 13:55:12,824 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,825 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,825 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:12,826 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:12,827 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=9.886, mean=-0.294, std=2.72, absmax=12.01 +2025-11-04 13:55:12,827 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.26, max=8.406, mean=-0.3232, std=2.585, absmax=10.26 +2025-11-04 13:55:13,186 ERROR: Encountered non-finite generator loss at iter 25747; skipping update. +2025-11-04 13:55:13,187 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,188 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,188 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,188 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:13,189 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.58, max=14.78, mean=0.0769, std=3.313, absmax=14.78 +2025-11-04 13:55:13,189 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.64, max=12.89, mean=0.1149, std=3.077, absmax=12.89 +2025-11-04 13:55:13,547 ERROR: Encountered non-finite generator loss at iter 25748; skipping update. +2025-11-04 13:55:13,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,548 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,548 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,549 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:13,549 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.8, max=13.66, mean=-0.1118, std=2.877, absmax=13.8 +2025-11-04 13:55:13,550 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.1, max=12.1, mean=-0.1171, std=2.744, absmax=13.1 +2025-11-04 13:55:13,907 ERROR: Encountered non-finite generator loss at iter 25749; skipping update. +2025-11-04 13:55:13,908 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,908 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,909 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:13,909 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:13,910 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.15, max=13.41, mean=-0.01902, std=2.674, absmax=13.41 +2025-11-04 13:55:13,910 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=12.44, mean=-0.03129, std=2.533, absmax=12.44 +2025-11-04 13:55:14,267 ERROR: Encountered non-finite generator loss at iter 25750; skipping update. +2025-11-04 13:55:14,268 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,269 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,269 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:14,270 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=9.874, mean=-0.1611, std=2.564, absmax=12.34 +2025-11-04 13:55:14,270 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.55, max=8.758, mean=-0.151, std=2.402, absmax=10.55 +2025-11-04 13:55:14,627 ERROR: Encountered non-finite generator loss at iter 25751; skipping update. +2025-11-04 13:55:14,628 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,629 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,629 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:14,630 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.91, max=12.29, mean=-0.1694, std=2.917, absmax=13.91 +2025-11-04 13:55:14,630 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=10.42, mean=-0.1674, std=2.757, absmax=12.55 +2025-11-04 13:55:14,987 ERROR: Encountered non-finite generator loss at iter 25752; skipping update. +2025-11-04 13:55:14,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,989 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:14,990 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:14,991 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.96, max=14.65, mean=0.06636, std=3.225, absmax=14.65 +2025-11-04 13:55:14,991 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=13.82, mean=0.0976, std=2.959, absmax=13.82 +2025-11-04 13:55:15,349 ERROR: Encountered non-finite generator loss at iter 25753; skipping update. +2025-11-04 13:55:15,350 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:15,351 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:15,351 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:15,351 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:15,352 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.56, mean=-0.07981, std=2.792, absmax=12.56 +2025-11-04 13:55:15,352 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.03, max=11, mean=-0.06294, std=2.623, absmax=11 +2025-11-04 13:55:15,710 ERROR: Encountered non-finite generator loss at iter 25754; skipping update. +2025-11-04 13:55:15,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:15,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:15,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:15,712 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:15,713 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.24, max=10.54, mean=-0.3362, std=3.698, absmax=13.24 +2025-11-04 13:55:15,713 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.27, max=9.816, mean=-0.3378, std=3.49, absmax=13.27 +2025-11-04 13:55:16,070 ERROR: Encountered non-finite generator loss at iter 25755; skipping update. +2025-11-04 13:55:16,071 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,072 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,072 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,073 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:16,073 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=13.88, mean=-0.1219, std=3.141, absmax=13.98 +2025-11-04 13:55:16,074 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.24, max=12.64, mean=-0.08076, std=2.947, absmax=12.64 +2025-11-04 13:55:16,431 ERROR: Encountered non-finite generator loss at iter 25756; skipping update. +2025-11-04 13:55:16,432 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,432 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,433 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,433 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:16,434 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.96, max=14.81, mean=-0.007297, std=3.145, absmax=15.96 +2025-11-04 13:55:16,434 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.12, max=12.94, mean=0.05077, std=2.976, absmax=13.12 +2025-11-04 13:55:16,791 ERROR: Encountered non-finite generator loss at iter 25757; skipping update. +2025-11-04 13:55:16,792 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,792 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:16,793 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:16,793 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.24, max=13.05, mean=-0.1396, std=2.93, absmax=14.24 +2025-11-04 13:55:16,794 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.26, max=12.8, mean=-0.1804, std=2.736, absmax=12.8 +2025-11-04 13:55:17,151 ERROR: Encountered non-finite generator loss at iter 25758; skipping update. +2025-11-04 13:55:17,152 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,152 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,153 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,153 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:17,154 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.85, max=15.18, mean=-0.002809, std=3.29, absmax=15.85 +2025-11-04 13:55:17,154 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.3, max=14.08, mean=0.008053, std=2.971, absmax=14.08 +2025-11-04 13:55:17,512 ERROR: Encountered non-finite generator loss at iter 25759; skipping update. +2025-11-04 13:55:17,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:17,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.49, max=11.76, mean=-0.3137, std=2.958, absmax=13.49 +2025-11-04 13:55:17,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=10.93, mean=-0.3106, std=2.79, absmax=12.87 +2025-11-04 13:55:17,872 ERROR: Encountered non-finite generator loss at iter 25760; skipping update. +2025-11-04 13:55:17,873 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,874 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:17,874 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:17,875 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.69, max=12.6, mean=-0.2313, std=3.197, absmax=12.69 +2025-11-04 13:55:17,875 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.27, max=11.41, mean=-0.2231, std=2.951, absmax=12.27 +2025-11-04 13:55:18,232 ERROR: Encountered non-finite generator loss at iter 25761; skipping update. +2025-11-04 13:55:18,233 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,234 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,234 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,234 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:18,235 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.53, max=12.33, mean=0.03961, std=2.898, absmax=12.33 +2025-11-04 13:55:18,236 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=11.28, mean=0.01417, std=2.663, absmax=11.28 +2025-11-04 13:55:18,592 ERROR: Encountered non-finite generator loss at iter 25762; skipping update. +2025-11-04 13:55:18,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,594 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:18,595 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=14.1, mean=0.00772, std=2.824, absmax=14.1 +2025-11-04 13:55:18,595 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.98, max=13.6, mean=-0.01901, std=2.557, absmax=13.6 +2025-11-04 13:55:18,952 ERROR: Encountered non-finite generator loss at iter 25763; skipping update. +2025-11-04 13:55:18,953 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,954 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:18,954 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:18,955 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.06, max=12.31, mean=-0.2221, std=2.643, absmax=12.31 +2025-11-04 13:55:18,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.34, max=9.619, mean=-0.1982, std=2.468, absmax=11.34 +2025-11-04 13:55:19,312 ERROR: Encountered non-finite generator loss at iter 25764; skipping update. +2025-11-04 13:55:19,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:19,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:19,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:19,315 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:19,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.32, max=11.19, mean=-0.2868, std=2.674, absmax=12.32 +2025-11-04 13:55:19,316 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.77, max=9.906, mean=-0.2546, std=2.497, absmax=10.77 +2025-11-04 13:55:19,672 ERROR: Encountered non-finite generator loss at iter 25765; skipping update. +2025-11-04 13:55:19,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:19,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:19,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:19,675 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:19,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=12.16, mean=0.03458, std=2.898, absmax=13.58 +2025-11-04 13:55:19,676 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.19, max=10.83, mean=0.04535, std=2.61, absmax=11.19 +2025-11-04 13:55:20,033 ERROR: Encountered non-finite generator loss at iter 25766; skipping update. +2025-11-04 13:55:20,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:20,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=11.21, mean=-0.2974, std=2.681, absmax=11.86 +2025-11-04 13:55:20,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.45, max=9.864, mean=-0.2767, std=2.498, absmax=10.45 +2025-11-04 13:55:20,393 ERROR: Encountered non-finite generator loss at iter 25767; skipping update. +2025-11-04 13:55:20,394 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,396 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:20,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.78, max=12.92, mean=-0.1029, std=3.309, absmax=12.92 +2025-11-04 13:55:20,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.32, max=13.05, mean=-0.06119, std=3.05, absmax=13.05 +2025-11-04 13:55:20,753 ERROR: Encountered non-finite generator loss at iter 25768; skipping update. +2025-11-04 13:55:20,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:20,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:20,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.53, max=13.89, mean=-0.1112, std=2.961, absmax=13.89 +2025-11-04 13:55:20,757 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.21, max=13.39, mean=-0.07221, std=2.83, absmax=13.39 +2025-11-04 13:55:21,113 ERROR: Encountered non-finite generator loss at iter 25769; skipping update. +2025-11-04 13:55:21,114 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,115 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,115 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,116 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:21,116 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=12.12, mean=-0.2251, std=2.911, absmax=12.99 +2025-11-04 13:55:21,117 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=9.417, mean=-0.2224, std=2.627, absmax=12.45 +2025-11-04 13:55:21,473 ERROR: Encountered non-finite generator loss at iter 25770; skipping update. +2025-11-04 13:55:21,474 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,475 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,475 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:21,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-17.03, max=15.34, mean=-0.05087, std=3.385, absmax=17.03 +2025-11-04 13:55:21,477 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.74, max=13.87, mean=-0.05613, std=3.047, absmax=13.87 +2025-11-04 13:55:21,833 ERROR: Encountered non-finite generator loss at iter 25771; skipping update. +2025-11-04 13:55:21,834 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,835 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:21,835 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:21,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.22, max=11.43, mean=-0.1967, std=2.567, absmax=12.22 +2025-11-04 13:55:21,836 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=11.25, mean=-0.187, std=2.386, absmax=11.25 +2025-11-04 13:55:22,192 ERROR: Encountered non-finite generator loss at iter 25772; skipping update. +2025-11-04 13:55:22,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,194 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:22,195 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.84, max=11.87, mean=-0.2594, std=2.971, absmax=12.84 +2025-11-04 13:55:22,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.9, max=9.414, mean=-0.2335, std=2.762, absmax=10.9 +2025-11-04 13:55:22,552 ERROR: Encountered non-finite generator loss at iter 25773; skipping update. +2025-11-04 13:55:22,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,554 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:22,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.23, max=10.6, mean=-0.1846, std=2.382, absmax=10.6 +2025-11-04 13:55:22,555 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.999, max=9.822, mean=-0.2113, std=2.288, absmax=9.999 +2025-11-04 13:55:22,912 ERROR: Encountered non-finite generator loss at iter 25774; skipping update. +2025-11-04 13:55:22,913 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:22,914 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:22,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.04, max=14.86, mean=-0.1509, std=2.916, absmax=14.86 +2025-11-04 13:55:22,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=12.2, mean=-0.1704, std=2.715, absmax=12.2 +2025-11-04 13:55:23,273 ERROR: Encountered non-finite generator loss at iter 25775; skipping update. +2025-11-04 13:55:23,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:23,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=14.45, mean=-0.2274, std=2.637, absmax=14.45 +2025-11-04 13:55:23,276 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.19, max=12.27, mean=-0.198, std=2.439, absmax=12.27 +2025-11-04 13:55:23,632 ERROR: Encountered non-finite generator loss at iter 25776; skipping update. +2025-11-04 13:55:23,633 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:23,635 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.76, max=11.95, mean=0.1524, std=3.417, absmax=11.95 +2025-11-04 13:55:23,636 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.99, max=12.6, mean=0.1594, std=3.218, absmax=12.6 +2025-11-04 13:55:23,992 ERROR: Encountered non-finite generator loss at iter 25777; skipping update. +2025-11-04 13:55:23,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:23,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:23,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=13.78, mean=-0.09235, std=2.863, absmax=13.78 +2025-11-04 13:55:23,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.83, max=11.34, mean=-0.03333, std=2.668, absmax=11.34 +2025-11-04 13:55:24,353 ERROR: Encountered non-finite generator loss at iter 25778; skipping update. +2025-11-04 13:55:24,354 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:24,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:24,355 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:24,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:24,356 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=10.97, mean=-0.2434, std=2.851, absmax=13.29 +2025-11-04 13:55:24,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.02, max=9.403, mean=-0.2285, std=2.605, absmax=12.02 +2025-11-04 13:55:24,712 ERROR: Encountered non-finite generator loss at iter 25779; skipping update. +2025-11-04 13:55:24,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:24,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:24,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:24,714 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:24,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.16, max=15.15, mean=-0.3054, std=3.736, absmax=15.16 +2025-11-04 13:55:24,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.81, max=13.46, mean=-0.2776, std=3.355, absmax=13.46 +2025-11-04 13:55:25,072 ERROR: Encountered non-finite generator loss at iter 25780; skipping update. +2025-11-04 13:55:25,073 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,074 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:25,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.68, max=11.44, mean=-0.2419, std=2.87, absmax=12.68 +2025-11-04 13:55:25,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.4, max=10.3, mean=-0.2361, std=2.846, absmax=12.4 +2025-11-04 13:55:25,432 ERROR: Encountered non-finite generator loss at iter 25781; skipping update. +2025-11-04 13:55:25,433 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:25,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.56, max=13.17, mean=-0.1241, std=2.756, absmax=13.17 +2025-11-04 13:55:25,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.46, max=10.92, mean=-0.176, std=2.571, absmax=11.46 +2025-11-04 13:55:25,792 ERROR: Encountered non-finite generator loss at iter 25782; skipping update. +2025-11-04 13:55:25,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:25,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:25,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.99, max=13.45, mean=-0.3029, std=3.051, absmax=13.45 +2025-11-04 13:55:25,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.74, max=12.74, mean=-0.289, std=2.949, absmax=13.74 +2025-11-04 13:55:26,152 ERROR: Encountered non-finite generator loss at iter 25783; skipping update. +2025-11-04 13:55:26,153 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,153 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,154 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:26,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.4, max=10.92, mean=-0.2994, std=2.973, absmax=13.4 +2025-11-04 13:55:26,155 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.6, max=8.805, mean=-0.2981, std=2.741, absmax=11.6 +2025-11-04 13:55:26,512 ERROR: Encountered non-finite generator loss at iter 25784; skipping update. +2025-11-04 13:55:26,513 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,513 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,514 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:26,514 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.63, max=11.66, mean=-0.3286, std=2.815, absmax=12.63 +2025-11-04 13:55:26,515 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.62, max=11.19, mean=-0.2822, std=2.762, absmax=11.62 +2025-11-04 13:55:26,871 ERROR: Encountered non-finite generator loss at iter 25785; skipping update. +2025-11-04 13:55:26,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:26,873 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:26,874 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.54, max=12.08, mean=-0.03106, std=3.363, absmax=13.54 +2025-11-04 13:55:26,874 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.84, max=11.06, mean=-0.005371, std=3.044, absmax=12.84 +2025-11-04 13:55:27,231 ERROR: Encountered non-finite generator loss at iter 25786; skipping update. +2025-11-04 13:55:27,232 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,233 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,233 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,233 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:27,234 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.21, max=14.23, mean=-0.1472, std=2.83, absmax=14.23 +2025-11-04 13:55:27,235 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.24, max=11.46, mean=-0.13, std=2.547, absmax=11.46 +2025-11-04 13:55:27,591 ERROR: Encountered non-finite generator loss at iter 25787; skipping update. +2025-11-04 13:55:27,592 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,593 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:27,594 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.29, max=13.46, mean=-0.157, std=3.015, absmax=15.29 +2025-11-04 13:55:27,594 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=13.3, mean=-0.1393, std=2.897, absmax=13.3 +2025-11-04 13:55:27,951 ERROR: Encountered non-finite generator loss at iter 25788; skipping update. +2025-11-04 13:55:27,952 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,953 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,953 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:27,953 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:27,954 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.46, max=14.7, mean=0.1336, std=3.725, absmax=16.46 +2025-11-04 13:55:27,955 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.14, max=13.81, mean=0.1246, std=3.475, absmax=13.81 +2025-11-04 13:55:28,312 ERROR: Encountered non-finite generator loss at iter 25789; skipping update. +2025-11-04 13:55:28,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:28,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:28,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:28,314 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:28,315 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.15, max=15.24, mean=-0.1269, std=3.152, absmax=15.24 +2025-11-04 13:55:28,315 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=13.25, mean=-0.12, std=2.956, absmax=13.25 +2025-11-04 13:55:28,672 ERROR: Encountered non-finite generator loss at iter 25790; skipping update. +2025-11-04 13:55:28,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:28,673 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:28,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:28,674 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:28,674 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.61, max=12.4, mean=-0.3908, std=3.366, absmax=13.61 +2025-11-04 13:55:28,675 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.36, max=11.41, mean=-0.3577, std=3.18, absmax=12.36 +2025-11-04 13:55:29,032 ERROR: Encountered non-finite generator loss at iter 25791; skipping update. +2025-11-04 13:55:29,033 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,034 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:29,035 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.57, max=12.87, mean=-0.2084, std=3.189, absmax=12.87 +2025-11-04 13:55:29,035 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.91, max=11.48, mean=-0.1836, std=2.865, absmax=11.91 +2025-11-04 13:55:29,392 ERROR: Encountered non-finite generator loss at iter 25792; skipping update. +2025-11-04 13:55:29,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,393 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,393 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:29,394 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.08, max=14.82, mean=-0.06557, std=3.429, absmax=14.82 +2025-11-04 13:55:29,395 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.5, max=14.11, mean=-0.01773, std=3.191, absmax=14.11 +2025-11-04 13:55:29,751 ERROR: Encountered non-finite generator loss at iter 25793; skipping update. +2025-11-04 13:55:29,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,753 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:29,753 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:29,754 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.86, max=13.66, mean=-0.1332, std=2.871, absmax=13.66 +2025-11-04 13:55:29,755 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.65, max=12.27, mean=-0.1071, std=2.684, absmax=12.27 +2025-11-04 13:55:30,112 ERROR: Encountered non-finite generator loss at iter 25794; skipping update. +2025-11-04 13:55:30,112 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,113 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:30,114 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.86, max=11.18, mean=-0.2284, std=3.087, absmax=14.86 +2025-11-04 13:55:30,115 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.29, max=9.782, mean=-0.2385, std=2.89, absmax=12.29 +2025-11-04 13:55:30,471 ERROR: Encountered non-finite generator loss at iter 25795; skipping update. +2025-11-04 13:55:30,472 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,472 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,473 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,473 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:30,474 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.34, max=12.48, mean=-0.01624, std=3.588, absmax=13.34 +2025-11-04 13:55:30,474 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=11.46, mean=-0.03506, std=3.41, absmax=12.83 +2025-11-04 13:55:30,831 ERROR: Encountered non-finite generator loss at iter 25796; skipping update. +2025-11-04 13:55:30,832 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,832 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,833 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:30,833 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:30,834 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.06, max=12.28, mean=-0.1144, std=2.819, absmax=13.06 +2025-11-04 13:55:30,834 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.86, max=12.1, mean=-0.1135, std=2.561, absmax=12.1 +2025-11-04 13:55:31,192 ERROR: Encountered non-finite generator loss at iter 25797; skipping update. +2025-11-04 13:55:31,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,193 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,193 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,194 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:31,194 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.61, max=12.07, mean=-0.3056, std=2.635, absmax=12.07 +2025-11-04 13:55:31,195 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.07, max=11.09, mean=-0.2769, std=2.54, absmax=11.09 +2025-11-04 13:55:31,552 ERROR: Encountered non-finite generator loss at iter 25798; skipping update. +2025-11-04 13:55:31,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,553 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,554 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:31,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.93, max=14.8, mean=-0.2362, std=2.386, absmax=14.8 +2025-11-04 13:55:31,555 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-9.836, max=13.38, mean=-0.2126, std=2.249, absmax=13.38 +2025-11-04 13:55:31,912 ERROR: Encountered non-finite generator loss at iter 25799; skipping update. +2025-11-04 13:55:31,913 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,913 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,913 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:31,914 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:31,914 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.79, max=14.19, mean=-0.09066, std=2.977, absmax=14.19 +2025-11-04 13:55:31,915 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.15, mean=-0.08339, std=2.734, absmax=12.15 +2025-11-04 13:55:32,272 ERROR: Encountered non-finite generator loss at iter 25800; skipping update. +2025-11-04 13:55:32,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,274 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:32,274 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.05, max=14.07, mean=-0.09571, std=3.478, absmax=14.07 +2025-11-04 13:55:32,275 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.67, max=12.02, mean=-0.09804, std=3.177, absmax=12.67 +2025-11-04 13:55:32,275 INFO: [38..][epoch: 0, step: 25,800, lr:(2.000e-04,)] [eta: 1 day, 2:40:36, time (data): 0.360 (0.000)] +2025-11-04 13:55:32,632 ERROR: Encountered non-finite generator loss at iter 25801; skipping update. +2025-11-04 13:55:32,633 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,634 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:32,634 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.58, max=13.89, mean=-0.1344, std=3.059, absmax=13.89 +2025-11-04 13:55:32,635 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.2, max=13.7, mean=-0.1322, std=2.98, absmax=13.7 +2025-11-04 13:55:32,992 ERROR: Encountered non-finite generator loss at iter 25802; skipping update. +2025-11-04 13:55:32,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:32,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:32,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.64, max=16.02, mean=-0.3401, std=3.543, absmax=16.02 +2025-11-04 13:55:32,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.62, max=14.13, mean=-0.3438, std=3.302, absmax=14.13 +2025-11-04 13:55:33,352 ERROR: Encountered non-finite generator loss at iter 25803; skipping update. +2025-11-04 13:55:33,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:33,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:33,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:33,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:33,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.13, max=17.19, mean=-0.3263, std=2.971, absmax=17.19 +2025-11-04 13:55:33,355 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.69, max=16, mean=-0.3359, std=2.838, absmax=16 +2025-11-04 13:55:33,712 ERROR: Encountered non-finite generator loss at iter 25804; skipping update. +2025-11-04 13:55:33,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:33,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:33,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:33,714 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:33,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.28, max=12.41, mean=-0.2769, std=2.809, absmax=13.28 +2025-11-04 13:55:33,715 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.15, max=10.6, mean=-0.2956, std=2.627, absmax=11.15 +2025-11-04 13:55:34,071 ERROR: Encountered non-finite generator loss at iter 25805; skipping update. +2025-11-04 13:55:34,072 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,073 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,073 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,073 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:34,074 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.29, max=11.7, mean=-0.2033, std=2.906, absmax=12.29 +2025-11-04 13:55:34,074 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.53, max=11.17, mean=-0.2114, std=2.668, absmax=11.53 +2025-11-04 13:55:34,432 ERROR: Encountered non-finite generator loss at iter 25806; skipping update. +2025-11-04 13:55:34,433 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,433 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,434 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,434 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:34,435 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.27, max=14.61, mean=-0.3044, std=3.52, absmax=14.61 +2025-11-04 13:55:34,435 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=13.44, mean=-0.2857, std=3.273, absmax=13.44 +2025-11-04 13:55:34,792 ERROR: Encountered non-finite generator loss at iter 25807; skipping update. +2025-11-04 13:55:34,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:34,794 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:34,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.73, max=13.58, mean=-0.05616, std=3.209, absmax=13.58 +2025-11-04 13:55:34,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.78, max=13.55, mean=-0.04539, std=3.106, absmax=13.55 +2025-11-04 13:55:35,152 ERROR: Encountered non-finite generator loss at iter 25808; skipping update. +2025-11-04 13:55:35,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,155 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:35,155 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=13.17, mean=-0.2293, std=3.908, absmax=13.3 +2025-11-04 13:55:35,156 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.08, max=12.65, mean=-0.2064, std=3.704, absmax=13.08 +2025-11-04 13:55:35,512 ERROR: Encountered non-finite generator loss at iter 25809; skipping update. +2025-11-04 13:55:35,514 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,514 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,514 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,515 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:35,515 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-16.51, max=14.62, mean=-0.2222, std=3.168, absmax=16.51 +2025-11-04 13:55:35,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.61, max=11.03, mean=-0.2125, std=2.888, absmax=14.61 +2025-11-04 13:55:35,873 ERROR: Encountered non-finite generator loss at iter 25810; skipping update. +2025-11-04 13:55:35,874 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:35,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:35,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.86, max=11.94, mean=-0.2097, std=3.127, absmax=13.86 +2025-11-04 13:55:35,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.79, max=10.09, mean=-0.1469, std=2.859, absmax=11.79 +2025-11-04 13:55:36,233 ERROR: Encountered non-finite generator loss at iter 25811; skipping update. +2025-11-04 13:55:36,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:36,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.33, max=11.28, mean=-0.2749, std=3.265, absmax=12.33 +2025-11-04 13:55:36,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.87, max=10.57, mean=-0.2409, std=3.169, absmax=12.87 +2025-11-04 13:55:36,593 ERROR: Encountered non-finite generator loss at iter 25812; skipping update. +2025-11-04 13:55:36,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:36,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.84, max=13.41, mean=-0.1831, std=2.707, absmax=13.41 +2025-11-04 13:55:36,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.91, max=11.39, mean=-0.1362, std=2.534, absmax=11.39 +2025-11-04 13:55:36,953 ERROR: Encountered non-finite generator loss at iter 25813; skipping update. +2025-11-04 13:55:36,954 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,955 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,955 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:36,955 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:36,956 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.76, max=14.17, mean=-0.2253, std=2.745, absmax=14.17 +2025-11-04 13:55:36,956 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.31, mean=-0.1955, std=2.611, absmax=12.75 +2025-11-04 13:55:37,314 ERROR: Encountered non-finite generator loss at iter 25814; skipping update. +2025-11-04 13:55:37,314 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:37,315 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:37,315 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:37,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:37,316 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-18.02, max=15.96, mean=0.06465, std=3.355, absmax=18.02 +2025-11-04 13:55:37,317 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.13, max=13.67, mean=0.03375, std=3.241, absmax=13.67 +2025-11-04 13:55:37,673 ERROR: Encountered non-finite generator loss at iter 25815; skipping update. +2025-11-04 13:55:37,674 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:37,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:37,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:37,675 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:37,675 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.09, max=14.26, mean=0.2275, std=3.597, absmax=14.26 +2025-11-04 13:55:37,676 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=13.49, mean=0.2105, std=3.354, absmax=13.49 +2025-11-04 13:55:38,033 ERROR: Encountered non-finite generator loss at iter 25816; skipping update. +2025-11-04 13:55:38,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,034 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,035 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:38,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=13.09, mean=-0.01425, std=2.935, absmax=13.1 +2025-11-04 13:55:38,036 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=11.85, mean=-0.007398, std=2.717, absmax=11.85 +2025-11-04 13:55:38,392 ERROR: Encountered non-finite generator loss at iter 25817; skipping update. +2025-11-04 13:55:38,393 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,394 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,394 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,394 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:38,395 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.07, max=16.49, mean=-0.06681, std=2.876, absmax=16.49 +2025-11-04 13:55:38,396 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.35, max=12.05, mean=-0.03262, std=2.569, absmax=12.05 +2025-11-04 13:55:38,753 ERROR: Encountered non-finite generator loss at iter 25818; skipping update. +2025-11-04 13:55:38,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,755 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:38,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:38,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.35, max=14.37, mean=-0.1667, std=3.52, absmax=14.37 +2025-11-04 13:55:38,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.65, max=12.01, mean=-0.1349, std=3.221, absmax=12.01 +2025-11-04 13:55:39,113 ERROR: Encountered non-finite generator loss at iter 25819; skipping update. +2025-11-04 13:55:39,114 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,114 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,115 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,115 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:39,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.01, max=12.64, mean=0.06277, std=3, absmax=12.64 +2025-11-04 13:55:39,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.94, max=11.99, mean=0.08689, std=2.895, absmax=11.99 +2025-11-04 13:55:39,472 ERROR: Encountered non-finite generator loss at iter 25820; skipping update. +2025-11-04 13:55:39,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,473 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,474 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:39,475 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.68, max=12.24, mean=-0.3696, std=3.225, absmax=14.68 +2025-11-04 13:55:39,476 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.26, mean=-0.3832, std=3.125, absmax=12.75 +2025-11-04 13:55:39,833 ERROR: Encountered non-finite generator loss at iter 25821; skipping update. +2025-11-04 13:55:39,834 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:39,835 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:39,835 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.71, max=13.43, mean=-0.06418, std=3.328, absmax=13.43 +2025-11-04 13:55:39,836 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.15, max=12.29, mean=-0.06265, std=3.137, absmax=12.29 +2025-11-04 13:55:40,193 ERROR: Encountered non-finite generator loss at iter 25822; skipping update. +2025-11-04 13:55:40,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,195 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:40,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.11, max=18.96, mean=-0.0921, std=3.412, absmax=18.96 +2025-11-04 13:55:40,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.17, max=15.45, mean=-0.06332, std=3.082, absmax=15.45 +2025-11-04 13:55:40,553 ERROR: Encountered non-finite generator loss at iter 25823; skipping update. +2025-11-04 13:55:40,554 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,555 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:40,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.5, max=11.97, mean=-0.06855, std=2.98, absmax=12.5 +2025-11-04 13:55:40,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.37, max=11.68, mean=-0.05331, std=2.822, absmax=11.68 +2025-11-04 13:55:40,913 ERROR: Encountered non-finite generator loss at iter 25824; skipping update. +2025-11-04 13:55:40,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:40,915 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:40,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.29, max=11.17, mean=-0.3543, std=2.962, absmax=13.29 +2025-11-04 13:55:40,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.34, max=9.323, mean=-0.346, std=2.815, absmax=13.34 +2025-11-04 13:55:41,272 ERROR: Encountered non-finite generator loss at iter 25825; skipping update. +2025-11-04 13:55:41,273 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,274 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:41,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.66, max=11.1, mean=-0.2556, std=2.809, absmax=13.66 +2025-11-04 13:55:41,276 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.4, max=9.851, mean=-0.2181, std=2.701, absmax=11.4 +2025-11-04 13:55:41,633 ERROR: Encountered non-finite generator loss at iter 25826; skipping update. +2025-11-04 13:55:41,634 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,635 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:41,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.74, max=12.37, mean=-0.1468, std=2.851, absmax=12.74 +2025-11-04 13:55:41,636 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.73, max=10.91, mean=-0.1405, std=2.579, absmax=11.73 +2025-11-04 13:55:41,992 ERROR: Encountered non-finite generator loss at iter 25827; skipping update. +2025-11-04 13:55:41,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:41,994 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:41,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.38, max=15.1, mean=-0.1423, std=2.981, absmax=15.1 +2025-11-04 13:55:41,995 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.43, max=11.96, mean=-0.09966, std=2.687, absmax=11.96 +2025-11-04 13:55:42,352 ERROR: Encountered non-finite generator loss at iter 25828; skipping update. +2025-11-04 13:55:42,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:42,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:42,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:42,354 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:42,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.62, max=15.4, mean=-0.1877, std=3.171, absmax=15.4 +2025-11-04 13:55:42,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.45, max=13.99, mean=-0.2042, std=2.918, absmax=13.99 +2025-11-04 13:55:42,712 ERROR: Encountered non-finite generator loss at iter 25829; skipping update. +2025-11-04 13:55:42,713 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:42,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:42,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:42,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:42,715 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.97, max=12.11, mean=-0.2084, std=2.974, absmax=12.97 +2025-11-04 13:55:42,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=10.91, mean=-0.2191, std=2.88, absmax=11.82 +2025-11-04 13:55:43,073 ERROR: Encountered non-finite generator loss at iter 25830; skipping update. +2025-11-04 13:55:43,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,075 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:43,076 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.02, max=14.37, mean=0.06251, std=3.734, absmax=14.37 +2025-11-04 13:55:43,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=13.1, mean=0.067, std=3.494, absmax=13.1 +2025-11-04 13:55:43,434 ERROR: Encountered non-finite generator loss at iter 25831; skipping update. +2025-11-04 13:55:43,435 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,436 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:43,437 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.14, max=13.04, mean=-0.04511, std=3.271, absmax=15.14 +2025-11-04 13:55:43,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-14.4, max=11.94, mean=-0.04027, std=2.952, absmax=14.4 +2025-11-04 13:55:43,794 ERROR: Encountered non-finite generator loss at iter 25832; skipping update. +2025-11-04 13:55:43,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:43,796 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:43,797 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.7, max=13.13, mean=-0.1393, std=3.282, absmax=13.13 +2025-11-04 13:55:43,798 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=11.89, mean=-0.1792, std=3.079, absmax=12.78 +2025-11-04 13:55:44,154 ERROR: Encountered non-finite generator loss at iter 25833; skipping update. +2025-11-04 13:55:44,155 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,156 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,156 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:44,157 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.94, max=12.58, mean=-0.02369, std=2.969, absmax=14.94 +2025-11-04 13:55:44,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.03, max=11.07, mean=0.02135, std=2.786, absmax=13.03 +2025-11-04 13:55:44,514 ERROR: Encountered non-finite generator loss at iter 25834; skipping update. +2025-11-04 13:55:44,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,516 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:44,517 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.39, max=13.11, mean=-0.2072, std=3.287, absmax=13.11 +2025-11-04 13:55:44,518 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.23, max=12.78, mean=-0.2433, std=3.187, absmax=12.78 +2025-11-04 13:55:44,874 ERROR: Encountered non-finite generator loss at iter 25835; skipping update. +2025-11-04 13:55:44,875 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,876 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:44,876 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:44,877 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.54, max=12.28, mean=-0.1786, std=2.951, absmax=12.28 +2025-11-04 13:55:44,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.3, max=10.82, mean=-0.1643, std=2.73, absmax=11.3 +2025-11-04 13:55:45,234 ERROR: Encountered non-finite generator loss at iter 25836; skipping update. +2025-11-04 13:55:45,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,236 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,236 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:45,237 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.1, max=10.92, mean=-0.27, std=3.248, absmax=13.1 +2025-11-04 13:55:45,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.1, max=10.04, mean=-0.2456, std=2.979, absmax=11.1 +2025-11-04 13:55:45,594 ERROR: Encountered non-finite generator loss at iter 25837; skipping update. +2025-11-04 13:55:45,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,596 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:45,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.19, max=12.99, mean=-0.09518, std=2.936, absmax=12.99 +2025-11-04 13:55:45,597 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.58, max=11.67, mean=-0.0556, std=2.735, absmax=11.67 +2025-11-04 13:55:45,954 ERROR: Encountered non-finite generator loss at iter 25838; skipping update. +2025-11-04 13:55:45,955 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,956 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,956 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:45,956 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:45,957 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-15.19, max=12.24, mean=-0.2081, std=2.852, absmax=15.19 +2025-11-04 13:55:45,958 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.59, max=10.13, mean=-0.1874, std=2.638, absmax=12.59 +2025-11-04 13:55:46,314 ERROR: Encountered non-finite generator loss at iter 25839; skipping update. +2025-11-04 13:55:46,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:46,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:46,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:46,316 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:46,317 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.93, max=14.69, mean=-0.3938, std=3.404, absmax=14.69 +2025-11-04 13:55:46,317 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.07, max=11.35, mean=-0.4114, std=3.234, absmax=13.07 +2025-11-04 13:55:46,674 ERROR: Encountered non-finite generator loss at iter 25840; skipping update. +2025-11-04 13:55:46,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:46,675 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:46,675 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:46,676 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:46,676 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.41, max=14.39, mean=-0.07918, std=3.101, absmax=14.39 +2025-11-04 13:55:46,677 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.69, max=12.79, mean=-0.07004, std=2.839, absmax=12.79 +2025-11-04 13:55:47,033 ERROR: Encountered non-finite generator loss at iter 25841; skipping update. +2025-11-04 13:55:47,034 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,035 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,035 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,036 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:47,036 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.56, max=12.9, mean=-0.06504, std=3.138, absmax=13.56 +2025-11-04 13:55:47,037 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.78, max=12.64, mean=-0.04665, std=2.94, absmax=12.78 +2025-11-04 13:55:47,394 ERROR: Encountered non-finite generator loss at iter 25842; skipping update. +2025-11-04 13:55:47,394 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,395 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:47,396 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.96, max=13.46, mean=0.02348, std=3.147, absmax=13.96 +2025-11-04 13:55:47,397 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.55, max=12.66, mean=0.04384, std=2.952, absmax=12.66 +2025-11-04 13:55:47,753 ERROR: Encountered non-finite generator loss at iter 25843; skipping update. +2025-11-04 13:55:47,754 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,755 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:47,755 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:47,756 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.74, max=10.45, mean=-0.2044, std=2.863, absmax=13.74 +2025-11-04 13:55:47,756 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.35, max=9.932, mean=-0.2294, std=2.76, absmax=12.35 +2025-11-04 13:55:48,112 ERROR: Encountered non-finite generator loss at iter 25844; skipping update. +2025-11-04 13:55:48,113 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,113 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,114 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,114 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:48,115 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.77, max=13.66, mean=-0.1052, std=3.104, absmax=13.66 +2025-11-04 13:55:48,116 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.47, max=10.51, mean=-0.1243, std=2.883, absmax=11.47 +2025-11-04 13:55:48,472 ERROR: Encountered non-finite generator loss at iter 25845; skipping update. +2025-11-04 13:55:48,474 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,475 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,475 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:48,476 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.98, max=14.43, mean=-0.1026, std=3.263, absmax=14.43 +2025-11-04 13:55:48,476 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.83, max=13.09, mean=-0.1092, std=2.957, absmax=13.09 +2025-11-04 13:55:48,834 ERROR: Encountered non-finite generator loss at iter 25846; skipping update. +2025-11-04 13:55:48,835 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,835 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,835 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:48,836 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:48,836 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.12, max=12.97, mean=-0.117, std=2.997, absmax=13.12 +2025-11-04 13:55:48,837 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.78, max=12.04, mean=-0.1284, std=2.756, absmax=12.04 +2025-11-04 13:55:49,193 ERROR: Encountered non-finite generator loss at iter 25847; skipping update. +2025-11-04 13:55:49,194 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,195 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,195 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:49,196 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.56, max=12.86, mean=-0.2915, std=2.831, absmax=14.56 +2025-11-04 13:55:49,196 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.08, max=10.94, mean=-0.2639, std=2.669, absmax=11.08 +2025-11-04 13:55:49,552 ERROR: Encountered non-finite generator loss at iter 25848; skipping update. +2025-11-04 13:55:49,553 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,554 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,554 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,554 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:49,555 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.78, max=11.91, mean=-0.0165, std=2.669, absmax=11.91 +2025-11-04 13:55:49,556 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.63, max=10.75, mean=-0.008793, std=2.525, absmax=10.75 +2025-11-04 13:55:49,912 ERROR: Encountered non-finite generator loss at iter 25849; skipping update. +2025-11-04 13:55:49,913 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,914 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,914 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:49,914 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:49,915 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.3, max=11.29, mean=-0.2925, std=3.296, absmax=13.3 +2025-11-04 13:55:49,916 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.79, max=10.22, mean=-0.2787, std=3.103, absmax=12.79 +2025-11-04 13:55:50,273 ERROR: Encountered non-finite generator loss at iter 25850; skipping update. +2025-11-04 13:55:50,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,274 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,275 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:50,275 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.34, max=12.88, mean=-0.2478, std=2.905, absmax=12.88 +2025-11-04 13:55:50,276 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.5, max=10.77, mean=-0.208, std=2.659, absmax=11.5 +2025-11-04 13:55:50,633 ERROR: Encountered non-finite generator loss at iter 25851; skipping update. +2025-11-04 13:55:50,634 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,635 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:50,636 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-10.85, max=10.88, mean=-0.2258, std=2.741, absmax=10.88 +2025-11-04 13:55:50,636 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.16, max=9.728, mean=-0.2329, std=2.668, absmax=10.16 +2025-11-04 13:55:50,992 ERROR: Encountered non-finite generator loss at iter 25852; skipping update. +2025-11-04 13:55:50,993 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:50,995 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:50,995 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-14.6, max=12.13, mean=-0.1641, std=3.386, absmax=14.6 +2025-11-04 13:55:50,996 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-12.75, max=11.1, mean=-0.1471, std=3.202, absmax=12.75 +2025-11-04 13:55:51,353 ERROR: Encountered non-finite generator loss at iter 25853; skipping update. +2025-11-04 13:55:51,353 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:51,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:51,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:51,355 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:51,355 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.91, max=15.57, mean=0.07637, std=3.315, absmax=15.57 +2025-11-04 13:55:51,356 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.12, max=13.73, mean=0.06529, std=2.913, absmax=13.73 +2025-11-04 13:55:51,713 ERROR: Encountered non-finite generator loss at iter 25854; skipping update. +2025-11-04 13:55:51,714 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:51,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:51,715 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:51,715 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:51,716 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.37, max=12.71, mean=-0.2088, std=3.095, absmax=12.71 +2025-11-04 13:55:51,716 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.82, max=12.1, mean=-0.1798, std=2.913, absmax=12.1 +2025-11-04 13:55:52,072 ERROR: Encountered non-finite generator loss at iter 25855; skipping update. +2025-11-04 13:55:52,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,074 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,074 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,075 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:52,075 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.02, max=13.43, mean=-0.183, std=2.797, absmax=13.43 +2025-11-04 13:55:52,076 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.27, max=11.57, mean=-0.1487, std=2.569, absmax=11.57 +2025-11-04 13:55:52,433 ERROR: Encountered non-finite generator loss at iter 25856; skipping update. +2025-11-04 13:55:52,434 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,435 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,435 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,436 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:52,436 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.27, max=11.26, mean=-0.1761, std=2.65, absmax=12.27 +2025-11-04 13:55:52,437 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.67, max=9.574, mean=-0.164, std=2.33, absmax=11.67 +2025-11-04 13:55:52,792 ERROR: Encountered non-finite generator loss at iter 25857; skipping update. +2025-11-04 13:55:52,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:52,795 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:52,795 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.58, max=12.19, mean=-0.3178, std=2.788, absmax=12.58 +2025-11-04 13:55:52,796 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.28, max=10.43, mean=-0.3018, std=2.572, absmax=11.28 +2025-11-04 13:55:53,153 ERROR: Encountered non-finite generator loss at iter 25858; skipping update. +2025-11-04 13:55:53,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,155 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,155 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:53,156 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-13.57, max=13.63, mean=-0.1479, std=3.367, absmax=13.63 +2025-11-04 13:55:53,157 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-13.01, max=12.79, mean=-0.1215, std=3.132, absmax=13.01 +2025-11-04 13:55:53,513 ERROR: Encountered non-finite generator loss at iter 25859; skipping update. +2025-11-04 13:55:53,514 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,515 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,515 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,515 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:53,516 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.46, max=13.13, mean=-0.256, std=2.935, absmax=13.13 +2025-11-04 13:55:53,516 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.98, max=11.04, mean=-0.2677, std=2.724, absmax=11.98 +2025-11-04 13:55:53,873 ERROR: Encountered non-finite generator loss at iter 25860; skipping update. +2025-11-04 13:55:53,874 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,875 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:53,875 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:53,876 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.37, max=12.23, mean=-0.09358, std=3.03, absmax=12.23 +2025-11-04 13:55:53,877 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-10.23, max=11.94, mean=-0.044, std=2.869, absmax=11.94 +2025-11-04 13:55:54,233 ERROR: Encountered non-finite generator loss at iter 25861; skipping update. +2025-11-04 13:55:54,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:54,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:54,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:54,235 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:54,236 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-12.03, max=11.44, mean=-0.2765, std=2.93, absmax=12.03 +2025-11-04 13:55:54,237 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.7, max=10.68, mean=-0.262, std=2.816, absmax=11.7 +2025-11-04 13:55:54,593 ERROR: Encountered non-finite generator loss at iter 25862; skipping update. +2025-11-04 13:55:54,594 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:54,595 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-04 13:55:54,595 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-04 13:55:54,595 ERROR: tensor[output_primary]: shape=(8, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-04 13:55:54,596 ERROR: tensor[gt_primary]: shape=(8, 16, 64, 64), finite=True, min=-11.45, max=11.4, mean=-0.2089, std=2.457, absmax=11.45 +2025-11-04 13:55:54,596 ERROR: tensor[lq]: shape=(8, 16, 32, 32), finite=True, min=-11.59, max=10.2, mean=-0.199, std=2.319, absmax=11.59 diff --git a/04_11_2025/38_continue/basicsr_options.yaml b/04_11_2025/38_continue/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..94b795052e287f613db8ea93e49f90ced482dd4c --- /dev/null +++ b/04_11_2025/38_continue/basicsr_options.yaml @@ -0,0 +1,245 @@ +# GENERATE TIME: Tue Nov 4 16:48:19 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 100 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue/train_38_continue_20251104_164819.log b/04_11_2025/38_continue/train_38_continue_20251104_164819.log new file mode 100644 index 0000000000000000000000000000000000000000..108babe0921ab385d50c1c70364d1f8ec3e7e350 --- /dev/null +++ b/04_11_2025/38_continue/train_38_continue_20251104_164819.log @@ -0,0 +1,615 @@ +2025-11-04 16:48:19,402 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 16:48:19,402 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 100 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 16:48:21,128 INFO: Use wandb logger with id=owuvmq6d; project=Swin2SR-Latent-SR. +2025-11-04 16:48:33,914 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 16:48:33,915 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 16:48:33,918 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 16:48:33,918 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 16:48:33,920 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 16:48:34,388 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:48:36,476 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 16:48:36,477 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 16:48:36,606 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:48:36,657 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 16:48:36,659 INFO: Use EMA with decay: 0.999 +2025-11-04 16:48:37,079 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:48:37,243 INFO: Loading: params_ema does not exist, use params. +2025-11-04 16:48:37,244 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:48:37,295 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 16:48:37,297 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:48:37,298 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 16:48:37,298 INFO: Loss [L1Loss] is created. +2025-11-04 16:48:37,299 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 16:48:37,300 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:48:37,301 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 16:48:37,303 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:48:37,304 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 16:48:37,305 INFO: Loss [L1Loss] is created. +2025-11-04 16:48:37,306 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 16:48:37,307 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:48:37,307 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 16:48:37,310 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 16:48:37,310 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 16:48:37,310 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 16:49:52,970 INFO: Use cuda prefetch dataloader +2025-11-04 16:49:52,972 INFO: Start training from epoch: 0, step: 0 +2025-11-04 16:49:54,587 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 16:51:53,555 INFO: [38_co..][epoch: 0, step: 100, lr:(2.500e-04,)] [eta: 1 day, 12:17:04, time (data): 1.206 (0.012)] eagle_pixel_x2_opt: 4.0349e+00 l1_pixel_x2_opt: 3.5620e-02 fft_frequency_x2_opt: 3.2362e-02 eagle_pixel_x4_opt: 6.1451e+00 l1_pixel_x4_opt: 5.1324e-02 fft_frequency_x4_opt: 4.3936e-02 +2025-11-04 16:54:22,576 INFO: Validation val_x2 + # l1_latent: 1.4049 Best: 1.4049 @ 100 iter + # pixel_psnr_pt: 32.3299 Best: 32.3299 @ 100 iter + diff --git a/04_11_2025/38_continue_archived_20251104_150011/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_150011/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..337b803504a007e47aadd1e92e5b5886d26e0dd6 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_150011/basicsr_options.yaml @@ -0,0 +1,239 @@ +# GENERATE TIME: Tue Nov 4 14:08:56 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_150011/train_38_continue_20251104_140856.log b/04_11_2025/38_continue_archived_20251104_150011/train_38_continue_20251104_140856.log new file mode 100644 index 0000000000000000000000000000000000000000..00840cf6a8b1289225b1d9e389652ce95e05d448 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_150011/train_38_continue_20251104_140856.log @@ -0,0 +1,621 @@ +2025-11-04 14:08:56,280 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 14:08:56,280 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 14:08:57,925 INFO: Use wandb logger with id=1wgd5xhu; project=Swin2SR-Latent-SR. +2025-11-04 14:09:12,328 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 14:09:12,329 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 14:09:12,333 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 14:09:12,333 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 14:09:12,335 INFO: Enabled find_unused_parameters=True for multi-head training overrides. +2025-11-04 14:09:12,837 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 14:09:15,401 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 14:09:15,402 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 14:09:16,316 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 14:09:16,370 INFO: Use EMA with decay: 0.999 +2025-11-04 14:09:16,820 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 14:09:17,005 INFO: Loading: params_ema does not exist, use params. +2025-11-04 14:09:17,006 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 14:09:17,059 INFO: Loss [Eagle_Loss] is created. +2025-11-04 14:09:17,060 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 14:09:17,061 INFO: Loss [L1Loss] is created. +2025-11-04 14:09:17,062 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 14:09:17,062 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 14:09:17,063 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 14:09:17,064 INFO: Loss [Eagle_Loss] is created. +2025-11-04 14:09:17,065 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 14:09:17,066 INFO: Loss [L1Loss] is created. +2025-11-04 14:09:17,067 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 14:09:17,068 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 14:09:17,069 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 14:09:17,071 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 14:09:17,072 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 14:10:50,927 INFO: Start training from epoch: 0, step: 0 +2025-11-04 14:10:52,970 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 14:13:04,206 INFO: [38_co..][epoch: 0, step: 100, lr:(2.500e-04,)] [eta: 1 day, 16:52:32, time (data): 1.333 (0.014)] eagle_pixel_x2_opt: 4.0478e+00 l1_pixel_x2_opt: 3.5212e-02 fft_frequency_x2_opt: 3.2364e-02 eagle_pixel_x4_opt: 6.1842e+00 l1_pixel_x4_opt: 5.1870e-02 fft_frequency_x4_opt: 4.4050e-02 +2025-11-04 14:15:02,551 INFO: [38_co..][epoch: 0, step: 200, lr:(2.500e-04,)] [eta: 1 day, 16:56:02, time (data): 1.258 (0.007)] eagle_pixel_x2_opt: 4.6370e+00 l1_pixel_x2_opt: 3.7053e-02 fft_frequency_x2_opt: 3.3912e-02 eagle_pixel_x4_opt: 7.4606e+00 l1_pixel_x4_opt: 5.7464e-02 fft_frequency_x4_opt: 4.8318e-02 +2025-11-04 14:17:01,089 INFO: [38_co..][epoch: 0, step: 300, lr:(2.500e-04,)] [eta: 1 day, 16:57:13, time (data): 1.185 (0.000)] eagle_pixel_x2_opt: 4.4128e+00 l1_pixel_x2_opt: 3.5012e-02 fft_frequency_x2_opt: 3.2407e-02 eagle_pixel_x4_opt: 6.8814e+00 l1_pixel_x4_opt: 5.5703e-02 fft_frequency_x4_opt: 4.5544e-02 +2025-11-04 14:19:00,053 INFO: [38_co..][epoch: 0, step: 400, lr:(2.500e-04,)] [eta: 1 day, 16:59:03, time (data): 1.188 (0.000)] eagle_pixel_x2_opt: 4.7516e+00 l1_pixel_x2_opt: 3.6611e-02 fft_frequency_x2_opt: 3.4111e-02 eagle_pixel_x4_opt: 7.0534e+00 l1_pixel_x4_opt: 5.5126e-02 fft_frequency_x4_opt: 4.6474e-02 +2025-11-04 14:20:59,104 INFO: [38_co..][epoch: 0, step: 500, lr:(2.500e-04,)] [eta: 1 day, 16:59:43, time (data): 1.191 (0.000)] eagle_pixel_x2_opt: 4.3646e+00 l1_pixel_x2_opt: 3.3084e-02 fft_frequency_x2_opt: 3.0503e-02 eagle_pixel_x4_opt: 6.5304e+00 l1_pixel_x4_opt: 5.0555e-02 fft_frequency_x4_opt: 4.2839e-02 +2025-11-04 14:22:57,787 INFO: [38_co..][epoch: 0, step: 600, lr:(2.500e-04,)] [eta: 1 day, 16:58:13, time (data): 1.189 (0.000)] eagle_pixel_x2_opt: 4.4383e+00 l1_pixel_x2_opt: 3.3806e-02 fft_frequency_x2_opt: 3.1516e-02 eagle_pixel_x4_opt: 6.5080e+00 l1_pixel_x4_opt: 5.2778e-02 fft_frequency_x4_opt: 4.3677e-02 +2025-11-04 14:24:56,514 INFO: [38_co..][epoch: 0, step: 700, lr:(2.500e-04,)] [eta: 1 day, 16:56:43, time (data): 1.187 (0.000)] eagle_pixel_x2_opt: 4.0987e+00 l1_pixel_x2_opt: 3.5029e-02 fft_frequency_x2_opt: 3.1578e-02 eagle_pixel_x4_opt: 6.2405e+00 l1_pixel_x4_opt: 5.2738e-02 fft_frequency_x4_opt: 4.3796e-02 +2025-11-04 14:26:54,625 INFO: [38_co..][epoch: 0, step: 800, lr:(2.500e-04,)] [eta: 1 day, 16:53:31, time (data): 1.184 (0.000)] eagle_pixel_x2_opt: 4.4201e+00 l1_pixel_x2_opt: 3.7193e-02 fft_frequency_x2_opt: 3.4797e-02 eagle_pixel_x4_opt: 6.7722e+00 l1_pixel_x4_opt: 5.5728e-02 fft_frequency_x4_opt: 4.7275e-02 +2025-11-04 14:28:52,317 INFO: [38_co..][epoch: 0, step: 900, lr:(2.500e-04,)] [eta: 1 day, 16:49:37, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 4.2041e+00 l1_pixel_x2_opt: 3.5301e-02 fft_frequency_x2_opt: 3.2906e-02 eagle_pixel_x4_opt: 6.3120e+00 l1_pixel_x4_opt: 5.5019e-02 fft_frequency_x4_opt: 4.5312e-02 +2025-11-04 14:30:49,817 INFO: [38_co..][epoch: 0, step: 1,000, lr:(2.500e-04,)] [eta: 1 day, 16:45:43, time (data): 1.176 (0.000)] eagle_pixel_x2_opt: 3.4468e+00 l1_pixel_x2_opt: 2.9318e-02 fft_frequency_x2_opt: 2.7578e-02 eagle_pixel_x4_opt: 5.1700e+00 l1_pixel_x4_opt: 4.7038e-02 fft_frequency_x4_opt: 3.7929e-02 +2025-11-04 14:32:47,723 INFO: [38_co..][epoch: 0, step: 1,100, lr:(2.500e-04,)] [eta: 1 day, 16:42:55, time (data): 1.179 (0.000)] eagle_pixel_x2_opt: 3.2528e+00 l1_pixel_x2_opt: 2.9392e-02 fft_frequency_x2_opt: 2.6386e-02 eagle_pixel_x4_opt: 4.8193e+00 l1_pixel_x4_opt: 4.5272e-02 fft_frequency_x4_opt: 3.6452e-02 +2025-11-04 14:34:46,044 INFO: [38_co..][epoch: 0, step: 1,200, lr:(2.500e-04,)] [eta: 1 day, 16:40:59, time (data): 1.181 (0.000)] eagle_pixel_x2_opt: 3.6126e+00 l1_pixel_x2_opt: 3.3141e-02 fft_frequency_x2_opt: 2.8999e-02 eagle_pixel_x4_opt: 5.5263e+00 l1_pixel_x4_opt: 5.0832e-02 fft_frequency_x4_opt: 4.0940e-02 +2025-11-04 14:36:43,841 INFO: [38_co..][epoch: 0, step: 1,300, lr:(2.500e-04,)] [eta: 1 day, 16:38:12, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 4.1173e+00 l1_pixel_x2_opt: 3.1617e-02 fft_frequency_x2_opt: 2.8865e-02 eagle_pixel_x4_opt: 6.5544e+00 l1_pixel_x4_opt: 5.0085e-02 fft_frequency_x4_opt: 4.0899e-02 +2025-11-04 14:38:41,427 INFO: [38_co..][epoch: 0, step: 1,400, lr:(2.500e-04,)] [eta: 1 day, 16:35:14, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 3.9227e+00 l1_pixel_x2_opt: 3.4529e-02 fft_frequency_x2_opt: 3.1000e-02 eagle_pixel_x4_opt: 6.0294e+00 l1_pixel_x4_opt: 5.3412e-02 fft_frequency_x4_opt: 4.3645e-02 +2025-11-04 14:40:40,035 INFO: [38_co..][epoch: 0, step: 1,500, lr:(2.500e-04,)] [eta: 1 day, 16:33:48, time (data): 1.187 (0.000)] eagle_pixel_x2_opt: 4.4719e+00 l1_pixel_x2_opt: 3.7513e-02 fft_frequency_x2_opt: 3.4572e-02 eagle_pixel_x4_opt: 6.9855e+00 l1_pixel_x4_opt: 5.7395e-02 fft_frequency_x4_opt: 4.7756e-02 +2025-11-04 14:42:38,395 INFO: [38_co..][epoch: 0, step: 1,600, lr:(2.500e-04,)] [eta: 1 day, 16:31:59, time (data): 1.185 (0.000)] eagle_pixel_x2_opt: 3.8830e+00 l1_pixel_x2_opt: 3.2413e-02 fft_frequency_x2_opt: 2.9470e-02 eagle_pixel_x4_opt: 5.6264e+00 l1_pixel_x4_opt: 5.0683e-02 fft_frequency_x4_opt: 4.0469e-02 +2025-11-04 14:44:36,497 INFO: [38_co..][epoch: 0, step: 1,700, lr:(2.500e-04,)] [eta: 1 day, 16:29:50, time (data): 1.181 (0.000)] eagle_pixel_x2_opt: 4.5973e+00 l1_pixel_x2_opt: 3.6244e-02 fft_frequency_x2_opt: 3.2904e-02 eagle_pixel_x4_opt: 7.1571e+00 l1_pixel_x4_opt: 5.4271e-02 fft_frequency_x4_opt: 4.5142e-02 +2025-11-04 14:46:34,393 INFO: [38_co..][epoch: 0, step: 1,800, lr:(2.500e-04,)] [eta: 1 day, 16:27:28, time (data): 1.180 (0.000)] eagle_pixel_x2_opt: 3.7386e+00 l1_pixel_x2_opt: 3.0823e-02 fft_frequency_x2_opt: 2.7784e-02 eagle_pixel_x4_opt: 5.8103e+00 l1_pixel_x4_opt: 4.8842e-02 fft_frequency_x4_opt: 3.9464e-02 +2025-11-04 14:48:32,143 INFO: [38_co..][epoch: 0, step: 1,900, lr:(2.500e-04,)] [eta: 1 day, 16:24:59, time (data): 1.178 (0.000)] eagle_pixel_x2_opt: 3.5256e+00 l1_pixel_x2_opt: 3.0935e-02 fft_frequency_x2_opt: 2.6623e-02 eagle_pixel_x4_opt: 5.4437e+00 l1_pixel_x4_opt: 4.7190e-02 fft_frequency_x4_opt: 3.7659e-02 +2025-11-04 14:50:29,860 INFO: [38_co..][epoch: 0, step: 2,000, lr:(2.500e-04,)] [eta: 1 day, 16:22:32, time (data): 1.177 (0.000)] eagle_pixel_x2_opt: 4.7641e+00 l1_pixel_x2_opt: 3.4657e-02 fft_frequency_x2_opt: 3.2652e-02 eagle_pixel_x4_opt: 7.6179e+00 l1_pixel_x4_opt: 5.4961e-02 fft_frequency_x4_opt: 4.7113e-02 +2025-11-04 14:52:28,560 INFO: [38_co..][epoch: 0, step: 2,100, lr:(2.500e-04,)] [eta: 1 day, 16:21:04, time (data): 1.188 (0.000)] eagle_pixel_x2_opt: 3.7760e+00 l1_pixel_x2_opt: 2.8969e-02 fft_frequency_x2_opt: 2.8778e-02 eagle_pixel_x4_opt: 6.1315e+00 l1_pixel_x4_opt: 4.2914e-02 fft_frequency_x4_opt: 3.9965e-02 +2025-11-04 14:54:28,277 INFO: [38_co..][epoch: 0, step: 2,200, lr:(2.500e-04,)] [eta: 1 day, 16:20:31, time (data): 1.193 (0.000)] eagle_pixel_x2_opt: 4.9532e+00 l1_pixel_x2_opt: 3.8613e-02 fft_frequency_x2_opt: 3.8673e-02 eagle_pixel_x4_opt: 7.2591e+00 l1_pixel_x4_opt: 5.6348e-02 fft_frequency_x4_opt: 5.1948e-02 diff --git a/04_11_2025/38_continue_archived_20251104_152426/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_152426/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f1c8f1b328b59b005d3505fa1bbe4bd129fb3291 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_152426/basicsr_options.yaml @@ -0,0 +1,239 @@ +# GENERATE TIME: Tue Nov 4 15:00:11 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_152426/train_38_continue_20251104_150011.log b/04_11_2025/38_continue_archived_20251104_152426/train_38_continue_20251104_150011.log new file mode 100644 index 0000000000000000000000000000000000000000..e793da7ce6f791df1a703f7dc542c4ee56c190c1 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_152426/train_38_continue_20251104_150011.log @@ -0,0 +1,600 @@ +2025-11-04 15:00:11,246 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 15:00:11,247 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 15:00:13,050 INFO: Use wandb logger with id=08ecm9q0; project=Swin2SR-Latent-SR. +2025-11-04 15:00:27,238 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 15:00:27,240 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 15:00:27,243 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 15:00:27,243 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 15:00:27,244 INFO: Enabled find_unused_parameters=True for multi-head training overrides. +2025-11-04 15:00:27,722 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:00:29,704 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 15:00:29,705 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 15:00:31,019 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:00:31,072 INFO: Use EMA with decay: 0.999 +2025-11-04 15:00:31,482 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:00:31,711 INFO: Loading: params_ema does not exist, use params. +2025-11-04 15:00:31,712 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:00:31,772 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:00:31,773 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 15:00:31,773 INFO: Loss [L1Loss] is created. +2025-11-04 15:00:31,774 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 15:00:31,774 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:00:31,774 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 15:00:31,775 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:00:31,775 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 15:00:31,775 INFO: Loss [L1Loss] is created. +2025-11-04 15:00:31,775 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 15:00:31,776 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:00:31,776 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 15:00:31,778 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 15:00:31,778 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 15:01:51,001 INFO: Start training from epoch: 0, step: 0 +2025-11-04 15:01:52,913 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 15:04:01,417 INFO: [38_co..][epoch: 0, step: 100, lr:(2.500e-04,)] [eta: 1 day, 16:08:36, time (data): 1.304 (0.013)] eagle_pixel_x2_opt: 4.0388e+00 l1_pixel_x2_opt: 3.5721e-02 fft_frequency_x2_opt: 3.2387e-02 eagle_pixel_x4_opt: 6.2283e+00 l1_pixel_x4_opt: 5.1576e-02 fft_frequency_x4_opt: 4.4294e-02 diff --git a/04_11_2025/38_continue_archived_20251104_152934/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_152934/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..43c199150779ea39c6d376fb67ad0c44c52b7c6e --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_152934/basicsr_options.yaml @@ -0,0 +1,242 @@ +# GENERATE TIME: Tue Nov 4 15:24:26 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_152934/train_38_continue_20251104_152426.log b/04_11_2025/38_continue_archived_20251104_152934/train_38_continue_20251104_152426.log new file mode 100644 index 0000000000000000000000000000000000000000..583989ffffe68fdd130bf78cbf6215421140393b --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_152934/train_38_continue_20251104_152426.log @@ -0,0 +1,603 @@ +2025-11-04 15:24:26,900 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 15:24:26,900 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 15:24:28,543 INFO: Use wandb logger with id=bcpzdw2b; project=Swin2SR-Latent-SR. +2025-11-04 15:24:42,032 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 15:24:42,033 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 15:24:42,037 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 15:24:42,037 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 15:24:42,039 INFO: Multi-head training overrides active with find_unused_parameters=False; skipping automatic enablement. +2025-11-04 15:24:42,512 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:24:44,788 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 15:24:44,789 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 15:24:44,917 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:24:44,968 INFO: Use EMA with decay: 0.999 +2025-11-04 15:24:45,373 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:24:45,544 INFO: Loading: params_ema does not exist, use params. +2025-11-04 15:24:45,545 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:24:45,594 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:24:45,595 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 15:24:45,596 INFO: Loss [L1Loss] is created. +2025-11-04 15:24:45,596 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 15:24:45,597 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:24:45,598 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 15:24:45,599 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:24:45,599 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 15:24:45,601 INFO: Loss [L1Loss] is created. +2025-11-04 15:24:45,602 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 15:24:45,604 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:24:45,605 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 15:24:45,607 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 15:24:45,607 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 15:24:45,608 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 15:26:03,370 INFO: Start training from epoch: 0, step: 0 diff --git a/04_11_2025/38_continue_archived_20251104_153443/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_153443/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5587e674f5eb2dc6dce0c20486c1c3514c5f159c --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_153443/basicsr_options.yaml @@ -0,0 +1,242 @@ +# GENERATE TIME: Tue Nov 4 15:29:35 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_153443/train_38_continue_20251104_152935.log b/04_11_2025/38_continue_archived_20251104_153443/train_38_continue_20251104_152935.log new file mode 100644 index 0000000000000000000000000000000000000000..4305d2dfd26f0b9f726d62b0c4045c67372735ea --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_153443/train_38_continue_20251104_152935.log @@ -0,0 +1,604 @@ +2025-11-04 15:29:35,015 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 15:29:35,015 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 15:29:36,858 INFO: Use wandb logger with id=1sjgogd9; project=Swin2SR-Latent-SR. +2025-11-04 15:29:49,356 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 15:29:49,357 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 15:29:49,361 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 15:29:49,361 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 15:29:49,361 INFO: Multi-head training overrides active with find_unused_parameters=False; skipping automatic enablement. +2025-11-04 15:29:49,799 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:29:51,965 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 15:29:51,966 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 15:29:52,117 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:29:52,179 INFO: Use EMA with decay: 0.999 +2025-11-04 15:29:52,885 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:29:53,108 INFO: Loading: params_ema does not exist, use params. +2025-11-04 15:29:53,109 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:29:53,169 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:29:53,170 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 15:29:53,171 INFO: Loss [L1Loss] is created. +2025-11-04 15:29:53,172 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 15:29:53,173 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:29:53,174 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 15:29:53,176 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:29:53,177 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 15:29:53,178 INFO: Loss [L1Loss] is created. +2025-11-04 15:29:53,179 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 15:29:53,180 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:29:53,181 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 15:29:53,182 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 15:29:53,183 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 15:29:53,184 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 15:31:07,745 INFO: Start training from epoch: 0, step: 0 +2025-11-04 15:31:10,129 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/38_continue_archived_20251104_153917/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_153917/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..947794c0bc9dd50b9fcef9dd2ebc9b991f5f82ee --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_153917/basicsr_options.yaml @@ -0,0 +1,242 @@ +# GENERATE TIME: Tue Nov 4 15:34:43 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_153917/train_38_continue_20251104_153443.log b/04_11_2025/38_continue_archived_20251104_153917/train_38_continue_20251104_153443.log new file mode 100644 index 0000000000000000000000000000000000000000..a7ac662d7edf01ce617df8ce56700963d12052d1 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_153917/train_38_continue_20251104_153443.log @@ -0,0 +1,604 @@ +2025-11-04 15:34:43,226 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 15:34:43,226 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 15:34:45,074 INFO: Use wandb logger with id=rx9h74fm; project=Swin2SR-Latent-SR. +2025-11-04 15:34:58,938 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 15:34:58,939 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 15:34:58,943 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 15:34:58,944 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 15:34:58,945 INFO: Multi-head training overrides active with find_unused_parameters=False; skipping automatic enablement. +2025-11-04 15:34:59,419 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:35:01,537 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 15:35:01,538 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 15:35:01,700 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:35:01,763 INFO: Use EMA with decay: 0.999 +2025-11-04 15:35:02,357 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:35:02,544 INFO: Loading: params_ema does not exist, use params. +2025-11-04 15:35:02,545 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:35:02,595 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:35:02,596 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 15:35:02,598 INFO: Loss [L1Loss] is created. +2025-11-04 15:35:02,598 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 15:35:02,598 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:35:02,599 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 15:35:02,600 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:35:02,601 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 15:35:02,602 INFO: Loss [L1Loss] is created. +2025-11-04 15:35:02,603 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 15:35:02,604 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:35:02,605 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 15:35:02,607 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 15:35:02,607 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 15:35:02,608 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 15:36:18,357 INFO: Start training from epoch: 0, step: 0 +2025-11-04 15:36:19,967 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/38_continue_archived_20251104_155714/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_155714/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3ddaa1f6c21e2f254f87aa3e5af76c0bb852a0ed --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_155714/basicsr_options.yaml @@ -0,0 +1,242 @@ +# GENERATE TIME: Tue Nov 4 15:39:17 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_155714/train_38_continue_20251104_153917.log b/04_11_2025/38_continue_archived_20251104_155714/train_38_continue_20251104_153917.log new file mode 100644 index 0000000000000000000000000000000000000000..1acf9bbc41317c618144d00dc66b18fe85e6c24f --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_155714/train_38_continue_20251104_153917.log @@ -0,0 +1,606 @@ +2025-11-04 15:39:17,694 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 15:39:17,695 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 15:39:19,337 INFO: Use wandb logger with id=xpnahptq; project=Swin2SR-Latent-SR. +2025-11-04 15:39:32,213 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 15:39:32,213 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 15:39:32,217 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 15:39:32,217 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 15:39:32,219 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 15:39:32,666 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:39:34,767 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 15:39:34,768 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 15:39:34,894 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:39:34,948 INFO: Use EMA with decay: 0.999 +2025-11-04 15:39:35,354 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:39:35,534 INFO: Loading: params_ema does not exist, use params. +2025-11-04 15:39:35,535 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:39:35,586 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:39:35,587 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 15:39:35,588 INFO: Loss [L1Loss] is created. +2025-11-04 15:39:35,588 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 15:39:35,589 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:39:35,589 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 15:39:35,590 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:39:35,591 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 15:39:35,592 INFO: Loss [L1Loss] is created. +2025-11-04 15:39:35,593 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 15:39:35,594 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:39:35,595 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 15:39:35,597 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 15:39:35,598 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 15:39:35,598 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 15:40:53,193 INFO: Start training from epoch: 0, step: 0 +2025-11-04 15:40:55,784 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 15:42:57,789 INFO: [38_co..][epoch: 0, step: 100, lr:(2.500e-04,)] [eta: 1 day, 12:26:11, time (data): 1.246 (0.021)] eagle_pixel_x2_opt: 3.9566e+00 l1_pixel_x2_opt: 3.5668e-02 fft_frequency_x2_opt: 3.1990e-02 eagle_pixel_x4_opt: 6.1017e+00 l1_pixel_x4_opt: 5.1498e-02 fft_frequency_x4_opt: 4.3687e-02 +2025-11-04 15:44:43,505 INFO: [38_co..][epoch: 0, step: 200, lr:(2.500e-04,)] [eta: 1 day, 12:31:37, time (data): 1.152 (0.011)] eagle_pixel_x2_opt: 4.8343e+00 l1_pixel_x2_opt: 3.7020e-02 fft_frequency_x2_opt: 3.4819e-02 eagle_pixel_x4_opt: 7.5603e+00 l1_pixel_x4_opt: 5.7494e-02 fft_frequency_x4_opt: 4.8756e-02 diff --git a/04_11_2025/38_continue_archived_20251104_160331/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_160331/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..6c27abf2193a26ecd4b75d5cace3ba8bce8e57fb --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_160331/basicsr_options.yaml @@ -0,0 +1,245 @@ +# GENERATE TIME: Tue Nov 4 15:57:14 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_160331/train_38_continue_20251104_155714.log b/04_11_2025/38_continue_archived_20251104_160331/train_38_continue_20251104_155714.log new file mode 100644 index 0000000000000000000000000000000000000000..ba61fe480990ac84631fdf354ae61e0f4d844d77 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_160331/train_38_continue_20251104_155714.log @@ -0,0 +1,609 @@ +2025-11-04 15:57:14,197 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 15:57:14,197 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: True + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 15:57:16,097 INFO: Use wandb logger with id=eqilou43; project=Swin2SR-Latent-SR. +2025-11-04 15:57:28,833 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 15:57:28,834 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 15:57:28,837 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 15:57:28,838 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 15:57:28,839 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 15:57:29,288 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:57:31,229 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 15:57:31,230 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 15:57:31,378 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:57:31,584 INFO: Use EMA with decay: 0.999 +2025-11-04 15:57:31,981 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 15:57:32,163 INFO: Loading: params_ema does not exist, use params. +2025-11-04 15:57:32,164 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 15:57:32,212 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 15:57:32,214 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:57:32,215 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 15:57:32,216 INFO: Loss [L1Loss] is created. +2025-11-04 15:57:32,217 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 15:57:32,218 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:57:32,219 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 15:57:32,219 INFO: Loss [Eagle_Loss] is created. +2025-11-04 15:57:32,220 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 15:57:32,221 INFO: Loss [L1Loss] is created. +2025-11-04 15:57:32,222 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 15:57:32,223 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 15:57:32,224 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 15:57:32,226 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 15:57:32,226 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 15:57:32,227 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 15:58:51,609 INFO: Use cuda prefetch dataloader +2025-11-04 15:58:51,611 INFO: Start training from epoch: 0, step: 0 +2025-11-04 15:59:18,974 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/38_continue_archived_20251104_161131/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_161131/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..d29fa88a7dc6bb73f962d8b13d82e5a49094160b --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_161131/basicsr_options.yaml @@ -0,0 +1,245 @@ +# GENERATE TIME: Tue Nov 4 16:03:31 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_161131/train_38_continue_20251104_160331.log b/04_11_2025/38_continue_archived_20251104_161131/train_38_continue_20251104_160331.log new file mode 100644 index 0000000000000000000000000000000000000000..1e0b40c81f3c535777f9f3e26e4a75cd31a1570c --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_161131/train_38_continue_20251104_160331.log @@ -0,0 +1,609 @@ +2025-11-04 16:03:31,157 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 16:03:31,157 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: True + mode: max-autotune + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 16:03:32,941 INFO: Use wandb logger with id=49ewh2jg; project=Swin2SR-Latent-SR. +2025-11-04 16:03:45,608 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 16:03:45,609 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 16:03:45,613 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 16:03:45,613 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 16:03:45,614 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 16:03:46,082 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:03:48,154 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 16:03:48,155 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 16:03:48,311 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:03:48,415 INFO: Use EMA with decay: 0.999 +2025-11-04 16:03:49,131 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:03:49,354 INFO: Loading: params_ema does not exist, use params. +2025-11-04 16:03:49,355 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:03:49,414 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 16:03:49,417 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:03:49,418 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 16:03:49,418 INFO: Loss [L1Loss] is created. +2025-11-04 16:03:49,419 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 16:03:49,420 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:03:49,421 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 16:03:49,422 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:03:49,423 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 16:03:49,424 INFO: Loss [L1Loss] is created. +2025-11-04 16:03:49,425 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 16:03:49,427 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:03:49,427 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 16:03:49,428 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 16:03:49,428 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 16:03:49,429 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 16:05:09,824 INFO: Use cuda prefetch dataloader +2025-11-04 16:05:09,826 INFO: Start training from epoch: 0, step: 0 +2025-11-04 16:07:48,145 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/38_continue_archived_20251104_162054/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_162054/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1224bb7e6991ff7b6ff95fe86d22337d73724ed6 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_162054/basicsr_options.yaml @@ -0,0 +1,245 @@ +# GENERATE TIME: Tue Nov 4 16:11:31 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_162054/train_38_continue_20251104_161131.log b/04_11_2025/38_continue_archived_20251104_162054/train_38_continue_20251104_161131.log new file mode 100644 index 0000000000000000000000000000000000000000..860628323457a7c854ffda73175f91f63ddde5b3 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_162054/train_38_continue_20251104_161131.log @@ -0,0 +1,609 @@ +2025-11-04 16:11:31,980 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 16:11:31,981 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: True + mode: max-autotune + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 16:11:33,704 INFO: Use wandb logger with id=uqf4znim; project=Swin2SR-Latent-SR. +2025-11-04 16:11:46,029 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 16:11:46,030 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 16:11:46,033 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 16:11:46,034 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 16:11:46,035 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 16:11:46,484 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:11:48,541 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 16:11:48,542 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 16:11:48,754 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:11:48,862 INFO: Use EMA with decay: 0.999 +2025-11-04 16:11:49,388 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:11:49,576 INFO: Loading: params_ema does not exist, use params. +2025-11-04 16:11:49,577 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:11:49,626 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 16:11:49,628 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:11:49,629 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 16:11:49,630 INFO: Loss [L1Loss] is created. +2025-11-04 16:11:49,631 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 16:11:49,632 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:11:49,633 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 16:11:49,634 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:11:49,635 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 16:11:49,636 INFO: Loss [L1Loss] is created. +2025-11-04 16:11:49,637 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 16:11:49,637 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:11:49,638 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 16:11:49,640 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 16:11:49,640 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 16:11:49,641 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 16:13:09,221 INFO: Use cuda prefetch dataloader +2025-11-04 16:13:09,222 INFO: Start training from epoch: 0, step: 0 +2025-11-04 16:14:02,100 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/38_continue_archived_20251104_164245/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_164245/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2f239309fd1dde941c2099f69732c65a5a995305 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_164245/basicsr_options.yaml @@ -0,0 +1,245 @@ +# GENERATE TIME: Tue Nov 4 16:20:54 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: false + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 1000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_164245/train_38_continue_20251104_162054.log b/04_11_2025/38_continue_archived_20251104_164245/train_38_continue_20251104_162054.log new file mode 100644 index 0000000000000000000000000000000000000000..7ab722f4321b369e035bc75bcdc70d8b7a9483e3 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_164245/train_38_continue_20251104_162054.log @@ -0,0 +1,618 @@ +2025-11-04 16:20:54,476 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 16:20:54,477 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: False + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 1000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 16:20:56,095 INFO: Use wandb logger with id=3k8afxcw; project=Swin2SR-Latent-SR. +2025-11-04 16:21:10,703 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 16:21:10,704 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 16:21:10,708 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 16:21:10,708 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 16:21:10,709 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 16:21:11,178 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:21:13,052 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 16:21:13,053 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 16:21:13,182 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:21:13,234 INFO: Use EMA with decay: 0.999 +2025-11-04 16:21:21,047 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:21:21,231 INFO: Loading: params_ema does not exist, use params. +2025-11-04 16:21:21,232 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:21:21,281 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:21:21,282 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 16:21:21,282 INFO: Loss [L1Loss] is created. +2025-11-04 16:21:21,283 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 16:21:21,283 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:21:21,284 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 16:21:21,285 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:21:21,285 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 16:21:21,287 INFO: Loss [L1Loss] is created. +2025-11-04 16:21:21,288 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 16:21:21,289 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:21:21,290 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 16:21:21,292 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 16:21:21,293 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 16:21:21,295 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 16:22:39,592 INFO: Use cuda prefetch dataloader +2025-11-04 16:22:39,593 INFO: Start training from epoch: 0, step: 0 +2025-11-04 16:22:41,135 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 16:24:35,305 INFO: [38_co..][epoch: 0, step: 100, lr:(2.500e-04,)] [eta: 1 day, 11:35:39, time (data): 1.157 (0.011)] eagle_pixel_x2_opt: 3.9866e+00 l1_pixel_x2_opt: 3.5468e-02 fft_frequency_x2_opt: 3.1928e-02 eagle_pixel_x4_opt: 6.1575e+00 l1_pixel_x4_opt: 5.1574e-02 fft_frequency_x4_opt: 4.3926e-02 +2025-11-04 16:26:19,446 INFO: [38_co..][epoch: 0, step: 200, lr:(2.500e-04,)] [eta: 1 day, 11:49:57, time (data): 1.099 (0.006)] eagle_pixel_x2_opt: 4.7869e+00 l1_pixel_x2_opt: 3.6885e-02 fft_frequency_x2_opt: 3.4497e-02 eagle_pixel_x4_opt: 7.4621e+00 l1_pixel_x4_opt: 5.7528e-02 fft_frequency_x4_opt: 4.8347e-02 +2025-11-04 16:28:04,736 INFO: [38_co..][epoch: 0, step: 300, lr:(2.500e-04,)] [eta: 1 day, 12:01:31, time (data): 1.053 (0.000)] eagle_pixel_x2_opt: 4.3357e+00 l1_pixel_x2_opt: 3.5033e-02 fft_frequency_x2_opt: 3.1801e-02 eagle_pixel_x4_opt: 7.0501e+00 l1_pixel_x4_opt: 5.5709e-02 fft_frequency_x4_opt: 4.5875e-02 +2025-11-04 16:29:50,163 INFO: [38_co..][epoch: 0, step: 400, lr:(2.500e-04,)] [eta: 1 day, 12:07:10, time (data): 1.054 (0.000)] eagle_pixel_x2_opt: 4.7769e+00 l1_pixel_x2_opt: 3.6266e-02 fft_frequency_x2_opt: 3.4324e-02 eagle_pixel_x4_opt: 7.3675e+00 l1_pixel_x4_opt: 5.5401e-02 fft_frequency_x4_opt: 4.7421e-02 +2025-11-04 16:31:33,816 INFO: [38_co..][epoch: 0, step: 500, lr:(2.500e-04,)] [eta: 1 day, 12:02:30, time (data): 1.036 (0.000)] eagle_pixel_x2_opt: 4.2649e+00 l1_pixel_x2_opt: 3.3435e-02 fft_frequency_x2_opt: 3.0485e-02 eagle_pixel_x4_opt: 6.4789e+00 l1_pixel_x4_opt: 5.1200e-02 fft_frequency_x4_opt: 4.2710e-02 +2025-11-04 16:33:16,785 INFO: [38_co..][epoch: 0, step: 600, lr:(2.500e-04,)] [eta: 1 day, 11:56:27, time (data): 1.033 (0.000)] eagle_pixel_x2_opt: 4.5858e+00 l1_pixel_x2_opt: 3.3850e-02 fft_frequency_x2_opt: 3.2226e-02 eagle_pixel_x4_opt: 6.8922e+00 l1_pixel_x4_opt: 5.2851e-02 fft_frequency_x4_opt: 4.4684e-02 +2025-11-04 16:35:00,279 INFO: [38_co..][epoch: 0, step: 700, lr:(2.500e-04,)] [eta: 1 day, 11:53:12, time (data): 1.035 (0.000)] eagle_pixel_x2_opt: 7.2760e+00 l1_pixel_x2_opt: 6.4827e-02 fft_frequency_x2_opt: 4.9087e-02 eagle_pixel_x4_opt: 8.4385e+00 l1_pixel_x4_opt: 1.0337e-01 fft_frequency_x4_opt: 6.1042e-02 +2025-11-04 16:36:42,821 INFO: [38_co..][epoch: 0, step: 800, lr:(2.500e-04,)] [eta: 1 day, 11:47:51, time (data): 1.030 (0.000)] eagle_pixel_x2_opt: 4.5191e+00 l1_pixel_x2_opt: 3.7611e-02 fft_frequency_x2_opt: 3.5145e-02 eagle_pixel_x4_opt: 7.1436e+00 l1_pixel_x4_opt: 5.6583e-02 fft_frequency_x4_opt: 4.8310e-02 +2025-11-04 16:38:25,933 INFO: [38_co..][epoch: 0, step: 900, lr:(2.500e-04,)] [eta: 1 day, 11:44:38, time (data): 1.031 (0.000)] eagle_pixel_x2_opt: 4.2590e+00 l1_pixel_x2_opt: 3.5996e-02 fft_frequency_x2_opt: 3.3157e-02 eagle_pixel_x4_opt: 6.5662e+00 l1_pixel_x4_opt: 5.5788e-02 fft_frequency_x4_opt: 4.6527e-02 +2025-11-04 16:40:08,357 INFO: [38_co..][epoch: 0, step: 1,000, lr:(2.500e-04,)] [eta: 1 day, 11:40:18, time (data): 1.028 (0.000)] eagle_pixel_x2_opt: 3.7622e+00 l1_pixel_x2_opt: 3.2101e-02 fft_frequency_x2_opt: 2.9383e-02 eagle_pixel_x4_opt: 6.1037e+00 l1_pixel_x4_opt: 5.2774e-02 fft_frequency_x4_opt: 4.2371e-02 diff --git a/04_11_2025/38_continue_archived_20251104_164819/basicsr_options.yaml b/04_11_2025/38_continue_archived_20251104_164819/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b62838521bd50f33729ff370023451adcc4e7d70 --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_164819/basicsr_options.yaml @@ -0,0 +1,245 @@ +# GENERATE TIME: Tue Nov 4 16:42:45 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: true + resume_state: null + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 1000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_continue +name: 38_continue diff --git a/04_11_2025/38_continue_archived_20251104_164819/train_38_continue_20251104_164245.log b/04_11_2025/38_continue_archived_20251104_164819/train_38_continue_20251104_164245.log new file mode 100644 index 0000000000000000000000000000000000000000..7248ef1246faf99fe7b15dce60a785fe8fdc635c --- /dev/null +++ b/04_11_2025/38_continue_archived_20251104_164819/train_38_continue_20251104_164245.log @@ -0,0 +1,611 @@ +2025-11-04 16:42:45,862 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 16:42:45,862 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 360 + num_heads: [12, 12, 12, 12, 12, 12] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth + strict_load_g: True + resume_state: None + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/38_continue/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 2.5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 1000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 38_continue + name: 38_continue + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 16:42:47,659 INFO: Use wandb logger with id=elsbc4qx; project=Swin2SR-Latent-SR. +2025-11-04 16:43:01,597 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 16:43:01,598 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 16:43:01,602 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 16:43:01,602 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 16:43:01,604 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 16:43:02,075 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:43:04,296 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 54,917,584 +2025-11-04 16:43:04,297 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=360, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=360, input_resolution=(32, 32), num_heads=12, window_size=16, shift_size=8, mlp_ratio=2.0 + (norm1): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=360, window_size=(16, 16), num_heads=12 + (qkv): Linear(in_features=360, out_features=1080, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=360, out_features=360, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=360, out_features=720, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=720, out_features=360, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((360,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(360, 360, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(360, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(256, 1024, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(256, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 16:43:04,446 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:43:04,506 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 16:43:04,508 INFO: Use EMA with decay: 0.999 +2025-11-04 16:43:04,999 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 16:43:05,220 INFO: Loading: params_ema does not exist, use params. +2025-11-04 16:43:05,221 INFO: Loading SwinIRMultiHead from runs/04_11_2025/38_archived_20251104_140039/models/net_g_15000.pth [key=params]. +2025-11-04 16:43:05,278 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 16:43:05,280 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:43:05,280 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=2.5e-05). +2025-11-04 16:43:05,281 INFO: Loss [L1Loss] is created. +2025-11-04 16:43:05,282 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-04 16:43:05,283 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:43:05,284 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-04 16:43:05,285 INFO: Loss [Eagle_Loss] is created. +2025-11-04 16:43:05,286 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-04 16:43:05,287 INFO: Loss [L1Loss] is created. +2025-11-04 16:43:05,288 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-04 16:43:05,289 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 16:43:05,290 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-04 16:43:05,292 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 16:43:05,292 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 16:43:05,293 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 16:44:21,025 INFO: Use cuda prefetch dataloader +2025-11-04 16:44:21,026 INFO: Start training from epoch: 0, step: 0 +2025-11-04 16:44:22,761 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 16:46:22,069 INFO: [38_co..][epoch: 0, step: 100, lr:(2.500e-04,)] [eta: 1 day, 11:32:10, time (data): 1.210 (0.013)] eagle_pixel_x2_opt: 4.0121e+00 l1_pixel_x2_opt: 3.5740e-02 fft_frequency_x2_opt: 3.2103e-02 eagle_pixel_x4_opt: 6.1645e+00 l1_pixel_x4_opt: 5.1576e-02 fft_frequency_x4_opt: 4.3915e-02 diff --git a/04_11_2025/39/basicsr_options.yaml b/04_11_2025/39/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5193ec479f0effacc918203b96f9c6cdb4318bf6 --- /dev/null +++ b/04_11_2025/39/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 21:31:42 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/39_archived_20251104_212958/models/net_g_5000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39/train_39_20251104_213142.log b/04_11_2025/39/train_39_20251104_213142.log new file mode 100644 index 0000000000000000000000000000000000000000..5923a055932e36a0228f1ceb5441cb816f68b668 --- /dev/null +++ b/04_11_2025/39/train_39_20251104_213142.log @@ -0,0 +1,1190 @@ +2025-11-04 21:31:42,427 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 21:31:42,428 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 8 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/39_archived_20251104_212958/models/net_g_5000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 8 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 21:31:44,094 INFO: Use wandb logger with id=btoou0qp; project=Swin2SR-Latent-SR. +2025-11-04 21:31:56,381 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 21:31:56,382 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 10 + World size (gpu number): 8 + Steps per epoch: 60732 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-11-04 21:31:56,387 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 21:31:56,387 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 21:31:56,514 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 21:32:00,198 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 21:32:00,199 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 21:32:00,607 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39_archived_20251104_212958/models/net_g_5000.pth [key=params]. +2025-11-04 21:32:00,629 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 21:32:00,631 INFO: Use EMA with decay: 0.999 +2025-11-04 21:32:00,739 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 21:32:00,840 INFO: Loading: params_ema does not exist, use params. +2025-11-04 21:32:00,841 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39_archived_20251104_212958/models/net_g_5000.pth [key=params]. +2025-11-04 21:32:00,862 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 21:32:00,864 INFO: Loss [L1Loss] is created. +2025-11-04 21:32:00,864 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 21:32:00,866 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 21:32:00,867 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 21:32:00,868 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 21:32:00,869 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 21:32:00,870 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 21:32:00,886 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 21:32:00,887 INFO: Loss [L1Loss] is created. +2025-11-04 21:32:00,889 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 21:32:00,890 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 21:32:00,891 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 21:32:00,892 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 21:32:00,893 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 21:32:00,893 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 21:32:00,893 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 21:32:00,896 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 21:32:00,896 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 21:32:00,897 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 21:33:15,239 INFO: Use cuda prefetch dataloader +2025-11-04 21:33:15,240 INFO: Start training from epoch: 0, step: 0 +2025-11-04 21:33:17,678 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 21:35:27,739 INFO: [39..][epoch: 0, step: 100, lr:(5.000e-04,)] [eta: 1 day, 16:09:58, time (data): 1.325 (0.016)] l1_latent_x2_opt: 7.4165e-01 fft_frequency_x2_opt: 5.2979e-01 aux_downsample_x2_opt: 5.9170e-02 hf_pixel_x2_opt: 3.9539e-02 l1_latent_x4_opt: 8.4462e-01 fft_frequency_x4_opt: 6.2598e-01 aux_downsample_x4_opt: 7.4785e-02 hf_pixel_x4_opt: 4.0704e-02 +2025-11-04 21:37:24,820 INFO: [39..][epoch: 0, step: 200, lr:(5.000e-04,)] [eta: 1 day, 16:21:35, time (data): 1.248 (0.008)] l1_latent_x2_opt: 7.1363e-01 fft_frequency_x2_opt: 5.2197e-01 aux_downsample_x2_opt: 5.1414e-02 hf_pixel_x2_opt: 3.3861e-02 l1_latent_x4_opt: 8.1159e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.4645e-02 hf_pixel_x4_opt: 3.5345e-02 +2025-11-04 21:39:22,403 INFO: [39..][epoch: 0, step: 300, lr:(5.000e-04,)] [eta: 1 day, 16:27:39, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.1051e-01 fft_frequency_x2_opt: 5.1855e-01 aux_downsample_x2_opt: 5.4369e-02 hf_pixel_x2_opt: 3.5955e-02 l1_latent_x4_opt: 8.0679e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.7594e-02 hf_pixel_x4_opt: 3.8013e-02 +2025-11-04 21:41:19,018 INFO: [39..][epoch: 0, step: 400, lr:(5.000e-04,)] [eta: 1 day, 16:24:42, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.2741e-01 fft_frequency_x2_opt: 5.2319e-01 aux_downsample_x2_opt: 5.4104e-02 hf_pixel_x2_opt: 3.5376e-02 l1_latent_x4_opt: 8.3453e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 6.8828e-02 hf_pixel_x4_opt: 3.6307e-02 +2025-11-04 21:43:15,753 INFO: [39..][epoch: 0, step: 500, lr:(5.000e-04,)] [eta: 1 day, 16:22:39, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.2440e-01 fft_frequency_x2_opt: 5.3052e-01 aux_downsample_x2_opt: 5.8873e-02 hf_pixel_x2_opt: 4.0164e-02 l1_latent_x4_opt: 8.1819e-01 fft_frequency_x4_opt: 6.2256e-01 aux_downsample_x4_opt: 7.0847e-02 hf_pixel_x4_opt: 4.1127e-02 +2025-11-04 21:45:13,171 INFO: [39..][epoch: 0, step: 600, lr:(5.000e-04,)] [eta: 1 day, 16:22:59, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.1471e-01 fft_frequency_x2_opt: 5.1172e-01 aux_downsample_x2_opt: 5.2025e-02 hf_pixel_x2_opt: 3.2987e-02 l1_latent_x4_opt: 8.1179e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.9836e-02 hf_pixel_x4_opt: 3.5928e-02 +2025-11-04 21:47:10,056 INFO: [39..][epoch: 0, step: 700, lr:(5.000e-04,)] [eta: 1 day, 16:21:06, time (data): 1.169 (0.000)] l1_latent_x2_opt: 6.9261e-01 fft_frequency_x2_opt: 5.0781e-01 aux_downsample_x2_opt: 5.0252e-02 hf_pixel_x2_opt: 3.2626e-02 l1_latent_x4_opt: 7.9737e-01 fft_frequency_x4_opt: 6.0205e-01 aux_downsample_x4_opt: 6.5052e-02 hf_pixel_x4_opt: 3.4000e-02 +2025-11-04 21:49:06,742 INFO: [39..][epoch: 0, step: 800, lr:(5.000e-04,)] [eta: 1 day, 16:18:41, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.2859e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.3523e-02 hf_pixel_x2_opt: 3.3577e-02 l1_latent_x4_opt: 8.2975e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.7245e-02 hf_pixel_x4_opt: 3.4273e-02 +2025-11-04 21:51:03,715 INFO: [39..][epoch: 0, step: 900, lr:(5.000e-04,)] [eta: 1 day, 16:17:01, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.1802e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.1393e-02 hf_pixel_x2_opt: 3.3642e-02 l1_latent_x4_opt: 8.1645e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.5518e-02 hf_pixel_x4_opt: 3.5774e-02 +2025-11-04 21:53:00,185 INFO: [39..][epoch: 0, step: 1,000, lr:(5.000e-04,)] [eta: 1 day, 16:14:16, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.3645e-01 fft_frequency_x2_opt: 5.3418e-01 aux_downsample_x2_opt: 5.4566e-02 hf_pixel_x2_opt: 3.6261e-02 l1_latent_x4_opt: 8.4221e-01 fft_frequency_x4_opt: 6.3135e-01 aux_downsample_x4_opt: 6.8240e-02 hf_pixel_x4_opt: 3.7513e-02 +2025-11-04 21:54:56,755 INFO: [39..][epoch: 0, step: 1,100, lr:(5.000e-04,)] [eta: 1 day, 16:11:51, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.2337e-01 fft_frequency_x2_opt: 5.2173e-01 aux_downsample_x2_opt: 5.7301e-02 hf_pixel_x2_opt: 3.7872e-02 l1_latent_x4_opt: 8.2506e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 7.1001e-02 hf_pixel_x4_opt: 3.8389e-02 +2025-11-04 21:56:53,178 INFO: [39..][epoch: 0, step: 1,200, lr:(5.000e-04,)] [eta: 1 day, 16:09:16, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.3801e-01 fft_frequency_x2_opt: 5.2173e-01 aux_downsample_x2_opt: 5.6688e-02 hf_pixel_x2_opt: 3.8211e-02 l1_latent_x4_opt: 8.3924e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 7.0602e-02 hf_pixel_x4_opt: 3.9643e-02 +2025-11-04 21:58:49,512 INFO: [39..][epoch: 0, step: 1,300, lr:(5.000e-04,)] [eta: 1 day, 16:06:38, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2954e-01 fft_frequency_x2_opt: 5.3271e-01 aux_downsample_x2_opt: 5.0510e-02 hf_pixel_x2_opt: 3.2739e-02 l1_latent_x4_opt: 8.1834e-01 fft_frequency_x4_opt: 6.2158e-01 aux_downsample_x4_opt: 6.3263e-02 hf_pixel_x4_opt: 3.3957e-02 +2025-11-04 22:00:46,210 INFO: [39..][epoch: 0, step: 1,400, lr:(5.000e-04,)] [eta: 1 day, 16:04:38, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1763e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.0789e-02 hf_pixel_x2_opt: 3.2749e-02 l1_latent_x4_opt: 8.1655e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.3772e-02 hf_pixel_x4_opt: 3.4191e-02 +2025-11-04 22:02:42,915 INFO: [39..][epoch: 0, step: 1,500, lr:(5.000e-04,)] [eta: 1 day, 16:02:39, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.3327e-01 fft_frequency_x2_opt: 5.2197e-01 aux_downsample_x2_opt: 4.7327e-02 hf_pixel_x2_opt: 3.0638e-02 l1_latent_x4_opt: 8.2491e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 5.9332e-02 hf_pixel_x4_opt: 3.1318e-02 +2025-11-04 22:04:39,207 INFO: [39..][epoch: 0, step: 1,600, lr:(5.000e-04,)] [eta: 1 day, 16:00:09, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.3148e-01 fft_frequency_x2_opt: 5.3711e-01 aux_downsample_x2_opt: 5.0593e-02 hf_pixel_x2_opt: 3.1451e-02 l1_latent_x4_opt: 8.2957e-01 fft_frequency_x4_opt: 6.3867e-01 aux_downsample_x4_opt: 6.6722e-02 hf_pixel_x4_opt: 3.3561e-02 +2025-11-04 22:06:35,840 INFO: [39..][epoch: 0, step: 1,700, lr:(5.000e-04,)] [eta: 1 day, 15:58:07, time (data): 1.167 (0.000)] l1_latent_x2_opt: 6.9252e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 4.7136e-02 hf_pixel_x2_opt: 3.2164e-02 l1_latent_x4_opt: 7.9141e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 5.8906e-02 hf_pixel_x4_opt: 3.2820e-02 +2025-11-04 22:08:32,753 INFO: [39..][epoch: 0, step: 1,800, lr:(5.000e-04,)] [eta: 1 day, 15:56:25, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.2641e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 5.2560e-02 hf_pixel_x2_opt: 3.2822e-02 l1_latent_x4_opt: 8.2322e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.5481e-02 hf_pixel_x4_opt: 3.3814e-02 +2025-11-04 22:10:29,419 INFO: [39..][epoch: 0, step: 1,900, lr:(5.000e-04,)] [eta: 1 day, 15:54:25, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0923e-01 fft_frequency_x2_opt: 5.2026e-01 aux_downsample_x2_opt: 4.6390e-02 hf_pixel_x2_opt: 2.9556e-02 l1_latent_x4_opt: 8.0407e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 5.9593e-02 hf_pixel_x4_opt: 3.0480e-02 +2025-11-04 22:12:26,009 INFO: [39..][epoch: 0, step: 2,000, lr:(5.000e-04,)] [eta: 1 day, 15:52:21, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1188e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 4.8745e-02 hf_pixel_x2_opt: 3.3045e-02 l1_latent_x4_opt: 8.1037e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.2334e-02 hf_pixel_x4_opt: 3.4876e-02 +2025-11-04 22:14:22,778 INFO: [39..][epoch: 0, step: 2,100, lr:(5.000e-04,)] [eta: 1 day, 15:50:29, time (data): 1.168 (0.000)] l1_latent_x2_opt: 6.9844e-01 fft_frequency_x2_opt: 5.0879e-01 aux_downsample_x2_opt: 4.8703e-02 hf_pixel_x2_opt: 3.2687e-02 l1_latent_x4_opt: 7.9645e-01 fft_frequency_x4_opt: 5.9570e-01 aux_downsample_x4_opt: 6.1151e-02 hf_pixel_x4_opt: 3.3532e-02 +2025-11-04 22:16:19,597 INFO: [39..][epoch: 0, step: 2,200, lr:(5.000e-04,)] [eta: 1 day, 15:48:38, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.3168e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 5.6804e-02 hf_pixel_x2_opt: 3.7129e-02 l1_latent_x4_opt: 8.2801e-01 fft_frequency_x4_opt: 6.2744e-01 aux_downsample_x4_opt: 7.1759e-02 hf_pixel_x4_opt: 3.8834e-02 +2025-11-04 22:18:16,252 INFO: [39..][epoch: 0, step: 2,300, lr:(5.000e-04,)] [eta: 1 day, 15:46:39, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0991e-01 fft_frequency_x2_opt: 5.1270e-01 aux_downsample_x2_opt: 4.7563e-02 hf_pixel_x2_opt: 3.0676e-02 l1_latent_x4_opt: 8.1432e-01 fft_frequency_x4_opt: 5.9912e-01 aux_downsample_x4_opt: 6.1982e-02 hf_pixel_x4_opt: 3.1239e-02 +2025-11-04 22:20:12,605 INFO: [39..][epoch: 0, step: 2,400, lr:(5.000e-04,)] [eta: 1 day, 15:44:24, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1416e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 4.5486e-02 hf_pixel_x2_opt: 2.9038e-02 l1_latent_x4_opt: 8.1142e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 5.8236e-02 hf_pixel_x4_opt: 2.9971e-02 +2025-11-04 22:22:09,086 INFO: [39..][epoch: 0, step: 2,500, lr:(5.000e-04,)] [eta: 1 day, 15:42:17, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1966e-01 fft_frequency_x2_opt: 5.2686e-01 aux_downsample_x2_opt: 4.9048e-02 hf_pixel_x2_opt: 3.2369e-02 l1_latent_x4_opt: 8.1760e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.1098e-02 hf_pixel_x4_opt: 3.3559e-02 +2025-11-04 22:24:05,945 INFO: [39..][epoch: 0, step: 2,600, lr:(5.000e-04,)] [eta: 1 day, 15:40:28, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.2779e-01 fft_frequency_x2_opt: 5.2563e-01 aux_downsample_x2_opt: 5.2228e-02 hf_pixel_x2_opt: 3.2962e-02 l1_latent_x4_opt: 8.3421e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.6781e-02 hf_pixel_x4_opt: 3.5001e-02 +2025-11-04 22:26:02,451 INFO: [39..][epoch: 0, step: 2,700, lr:(5.000e-04,)] [eta: 1 day, 15:38:23, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3705e-01 fft_frequency_x2_opt: 5.2979e-01 aux_downsample_x2_opt: 5.5082e-02 hf_pixel_x2_opt: 3.4190e-02 l1_latent_x4_opt: 8.3779e-01 fft_frequency_x4_opt: 6.2549e-01 aux_downsample_x4_opt: 7.0566e-02 hf_pixel_x4_opt: 3.4629e-02 +2025-11-04 22:27:58,803 INFO: [39..][epoch: 0, step: 2,800, lr:(5.000e-04,)] [eta: 1 day, 15:36:12, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1643e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 4.7982e-02 hf_pixel_x2_opt: 3.0346e-02 l1_latent_x4_opt: 8.1847e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.1147e-02 hf_pixel_x4_opt: 3.1878e-02 +2025-11-04 22:29:55,034 INFO: [39..][epoch: 0, step: 2,900, lr:(5.000e-04,)] [eta: 1 day, 15:33:57, time (data): 1.162 (0.000)] l1_latent_x2_opt: 6.9636e-01 fft_frequency_x2_opt: 5.0415e-01 aux_downsample_x2_opt: 5.2827e-02 hf_pixel_x2_opt: 3.5480e-02 l1_latent_x4_opt: 8.0039e-01 fft_frequency_x4_opt: 5.9277e-01 aux_downsample_x4_opt: 6.6952e-02 hf_pixel_x4_opt: 3.7871e-02 +2025-11-04 22:31:51,458 INFO: [39..][epoch: 0, step: 3,000, lr:(5.000e-04,)] [eta: 1 day, 15:31:51, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0760e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.6417e-02 hf_pixel_x2_opt: 3.6250e-02 l1_latent_x4_opt: 8.0470e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 7.0517e-02 hf_pixel_x4_opt: 3.7341e-02 +2025-11-04 22:33:48,331 INFO: [39..][epoch: 0, step: 3,100, lr:(5.000e-04,)] [eta: 1 day, 15:30:03, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.2222e-01 fft_frequency_x2_opt: 5.2856e-01 aux_downsample_x2_opt: 4.9329e-02 hf_pixel_x2_opt: 3.1850e-02 l1_latent_x4_opt: 8.1528e-01 fft_frequency_x4_opt: 6.1914e-01 aux_downsample_x4_opt: 6.2849e-02 hf_pixel_x4_opt: 3.3031e-02 +2025-11-04 22:35:44,811 INFO: [39..][epoch: 0, step: 3,200, lr:(5.000e-04,)] [eta: 1 day, 15:27:59, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.3131e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 5.3085e-02 hf_pixel_x2_opt: 3.4460e-02 l1_latent_x4_opt: 8.3464e-01 fft_frequency_x4_opt: 6.2256e-01 aux_downsample_x4_opt: 6.7377e-02 hf_pixel_x4_opt: 3.5539e-02 +2025-11-04 22:37:41,134 INFO: [39..][epoch: 0, step: 3,300, lr:(5.000e-04,)] [eta: 1 day, 15:25:51, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0794e-01 fft_frequency_x2_opt: 5.1489e-01 aux_downsample_x2_opt: 4.8392e-02 hf_pixel_x2_opt: 3.0166e-02 l1_latent_x4_opt: 8.0532e-01 fft_frequency_x4_opt: 6.0352e-01 aux_downsample_x4_opt: 6.2862e-02 hf_pixel_x4_opt: 3.2582e-02 +2025-11-04 22:39:37,697 INFO: [39..][epoch: 0, step: 3,400, lr:(5.000e-04,)] [eta: 1 day, 15:23:51, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1095e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 5.1825e-02 hf_pixel_x2_opt: 3.4507e-02 l1_latent_x4_opt: 8.0220e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.3824e-02 hf_pixel_x4_opt: 3.5159e-02 +2025-11-04 22:41:33,961 INFO: [39..][epoch: 0, step: 3,500, lr:(5.000e-04,)] [eta: 1 day, 15:21:42, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2101e-01 fft_frequency_x2_opt: 5.2222e-01 aux_downsample_x2_opt: 4.8367e-02 hf_pixel_x2_opt: 3.1942e-02 l1_latent_x4_opt: 8.1655e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.1491e-02 hf_pixel_x4_opt: 3.2656e-02 +2025-11-04 22:43:30,213 INFO: [39..][epoch: 0, step: 3,600, lr:(5.000e-04,)] [eta: 1 day, 15:19:32, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1047e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.2229e-02 hf_pixel_x2_opt: 3.5921e-02 l1_latent_x4_opt: 8.0427e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.5921e-02 hf_pixel_x4_opt: 3.7978e-02 +2025-11-04 22:45:26,802 INFO: [39..][epoch: 0, step: 3,700, lr:(5.000e-04,)] [eta: 1 day, 15:17:35, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3248e-01 fft_frequency_x2_opt: 5.3125e-01 aux_downsample_x2_opt: 5.1092e-02 hf_pixel_x2_opt: 3.2623e-02 l1_latent_x4_opt: 8.3601e-01 fft_frequency_x4_opt: 6.2500e-01 aux_downsample_x4_opt: 6.4331e-02 hf_pixel_x4_opt: 3.3825e-02 +2025-11-04 22:47:23,232 INFO: [39..][epoch: 0, step: 3,800, lr:(5.000e-04,)] [eta: 1 day, 15:15:32, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3338e-01 fft_frequency_x2_opt: 5.2734e-01 aux_downsample_x2_opt: 5.7126e-02 hf_pixel_x2_opt: 3.6754e-02 l1_latent_x4_opt: 8.2926e-01 fft_frequency_x4_opt: 6.1377e-01 aux_downsample_x4_opt: 6.8508e-02 hf_pixel_x4_opt: 3.6336e-02 +2025-11-04 22:49:19,520 INFO: [39..][epoch: 0, step: 3,900, lr:(5.000e-04,)] [eta: 1 day, 15:13:25, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.3869e-01 fft_frequency_x2_opt: 5.3906e-01 aux_downsample_x2_opt: 6.0390e-02 hf_pixel_x2_opt: 4.1565e-02 l1_latent_x4_opt: 8.2804e-01 fft_frequency_x4_opt: 6.2988e-01 aux_downsample_x4_opt: 7.2030e-02 hf_pixel_x4_opt: 4.2172e-02 +2025-11-04 22:51:15,923 INFO: [39..][epoch: 0, step: 4,000, lr:(5.000e-04,)] [eta: 1 day, 15:11:23, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1539e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.4178e-02 hf_pixel_x2_opt: 3.5547e-02 l1_latent_x4_opt: 8.1277e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.9269e-02 hf_pixel_x4_opt: 3.7765e-02 +2025-11-04 22:53:12,239 INFO: [39..][epoch: 0, step: 4,100, lr:(5.000e-04,)] [eta: 1 day, 15:09:18, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1287e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 5.1691e-02 hf_pixel_x2_opt: 3.4085e-02 l1_latent_x4_opt: 8.1290e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.6789e-02 hf_pixel_x4_opt: 3.5652e-02 +2025-11-04 22:55:08,822 INFO: [39..][epoch: 0, step: 4,200, lr:(5.000e-04,)] [eta: 1 day, 15:07:21, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2213e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 4.9133e-02 hf_pixel_x2_opt: 3.2189e-02 l1_latent_x4_opt: 8.1667e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.3176e-02 hf_pixel_x4_opt: 3.3970e-02 +2025-11-04 22:57:05,790 INFO: [39..][epoch: 0, step: 4,300, lr:(5.000e-04,)] [eta: 1 day, 15:05:35, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.2729e-01 fft_frequency_x2_opt: 5.2686e-01 aux_downsample_x2_opt: 5.2959e-02 hf_pixel_x2_opt: 3.4763e-02 l1_latent_x4_opt: 8.1745e-01 fft_frequency_x4_opt: 6.2061e-01 aux_downsample_x4_opt: 6.8461e-02 hf_pixel_x4_opt: 3.7859e-02 +2025-11-04 22:59:02,484 INFO: [39..][epoch: 0, step: 4,400, lr:(5.000e-04,)] [eta: 1 day, 15:03:41, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1235e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.4168e-02 hf_pixel_x2_opt: 3.7018e-02 l1_latent_x4_opt: 8.1022e-01 fft_frequency_x4_opt: 6.1572e-01 aux_downsample_x4_opt: 6.8171e-02 hf_pixel_x4_opt: 3.9679e-02 +2025-11-04 23:01:00,232 INFO: [39..][epoch: 0, step: 4,500, lr:(5.000e-04,)] [eta: 1 day, 15:02:15, time (data): 1.181 (0.000)] l1_latent_x2_opt: 7.2140e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.8674e-02 hf_pixel_x2_opt: 4.0637e-02 l1_latent_x4_opt: 8.1692e-01 fft_frequency_x4_opt: 6.1768e-01 aux_downsample_x4_opt: 7.1366e-02 hf_pixel_x4_opt: 4.1988e-02 +2025-11-04 23:02:57,424 INFO: [39..][epoch: 0, step: 4,600, lr:(5.000e-04,)] [eta: 1 day, 15:00:33, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.1857e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.9411e-02 hf_pixel_x2_opt: 3.9672e-02 l1_latent_x4_opt: 8.2000e-01 fft_frequency_x4_opt: 6.2012e-01 aux_downsample_x4_opt: 7.6812e-02 hf_pixel_x4_opt: 4.3171e-02 +2025-11-04 23:04:54,744 INFO: [39..][epoch: 0, step: 4,700, lr:(5.000e-04,)] [eta: 1 day, 14:58:54, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.1916e-01 fft_frequency_x2_opt: 5.1416e-01 aux_downsample_x2_opt: 4.7901e-02 hf_pixel_x2_opt: 2.9704e-02 l1_latent_x4_opt: 8.1731e-01 fft_frequency_x4_opt: 5.9814e-01 aux_downsample_x4_opt: 6.2252e-02 hf_pixel_x4_opt: 3.0796e-02 +2025-11-04 23:06:53,198 INFO: [39..][epoch: 0, step: 4,800, lr:(5.000e-04,)] [eta: 1 day, 14:57:42, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.3127e-01 fft_frequency_x2_opt: 5.2368e-01 aux_downsample_x2_opt: 5.0827e-02 hf_pixel_x2_opt: 3.3359e-02 l1_latent_x4_opt: 8.2874e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.4506e-02 hf_pixel_x4_opt: 3.4994e-02 +2025-11-04 23:08:51,094 INFO: [39..][epoch: 0, step: 4,900, lr:(5.000e-04,)] [eta: 1 day, 14:56:15, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.3312e-01 fft_frequency_x2_opt: 5.2490e-01 aux_downsample_x2_opt: 5.2344e-02 hf_pixel_x2_opt: 3.5634e-02 l1_latent_x4_opt: 8.2897e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.5670e-02 hf_pixel_x4_opt: 3.7167e-02 +2025-11-04 23:10:48,522 INFO: [39..][epoch: 0, step: 5,000, lr:(5.000e-04,)] [eta: 1 day, 14:54:35, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.0762e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 4.7417e-02 hf_pixel_x2_opt: 2.9767e-02 l1_latent_x4_opt: 7.9470e-01 fft_frequency_x4_opt: 6.0010e-01 aux_downsample_x4_opt: 5.8087e-02 hf_pixel_x4_opt: 3.0685e-02 +2025-11-04 23:10:48,524 INFO: Saving models and training states. +2025-11-04 23:12:57,843 INFO: Validation val_x2 + # l1_latent: 0.7663 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.7781 Best: 28.7781 @ 5000 iter + +2025-11-04 23:15:06,057 INFO: Validation val_x4 + # l1_latent: 0.8506 Best: 0.8506 @ 5000 iter + # l2_latent: 1.1891 Best: 1.1891 @ 5000 iter + # pixel_psnr_pt: 26.3284 Best: 26.3284 @ 5000 iter + +2025-11-04 23:17:02,916 INFO: [39..][epoch: 0, step: 5,100, lr:(5.000e-04,)] [eta: 1 day, 16:33:35, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1364e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 5.0821e-02 hf_pixel_x2_opt: 3.3487e-02 l1_latent_x4_opt: 7.9799e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.5716e-02 hf_pixel_x4_opt: 3.5778e-02 +2025-11-04 23:18:59,889 INFO: [39..][epoch: 0, step: 5,200, lr:(5.000e-04,)] [eta: 1 day, 16:29:43, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.2205e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.1662e-02 hf_pixel_x2_opt: 3.3363e-02 l1_latent_x4_opt: 8.2226e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 6.5682e-02 hf_pixel_x4_opt: 3.5113e-02 +2025-11-04 23:20:56,594 INFO: [39..][epoch: 0, step: 5,300, lr:(5.000e-04,)] [eta: 1 day, 16:25:48, time (data): 1.167 (0.000)] l1_latent_x2_opt: 6.9768e-01 fft_frequency_x2_opt: 5.0928e-01 aux_downsample_x2_opt: 4.8900e-02 hf_pixel_x2_opt: 3.1321e-02 l1_latent_x4_opt: 7.9124e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 6.3514e-02 hf_pixel_x4_opt: 3.3803e-02 +2025-11-04 23:22:53,335 INFO: [39..][epoch: 0, step: 5,400, lr:(5.000e-04,)] [eta: 1 day, 16:21:59, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.1484e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 5.7723e-02 hf_pixel_x2_opt: 3.6817e-02 l1_latent_x4_opt: 8.1044e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 7.2741e-02 hf_pixel_x4_opt: 3.8230e-02 +2025-11-04 23:24:50,014 INFO: [39..][epoch: 0, step: 5,500, lr:(5.000e-04,)] [eta: 1 day, 16:18:13, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.1051e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 4.7105e-02 hf_pixel_x2_opt: 2.9730e-02 l1_latent_x4_opt: 8.0712e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 5.9666e-02 hf_pixel_x4_opt: 3.1064e-02 +2025-11-04 23:26:46,864 INFO: [39..][epoch: 0, step: 5,600, lr:(5.000e-04,)] [eta: 1 day, 16:14:34, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.0820e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 5.2446e-02 hf_pixel_x2_opt: 3.5241e-02 l1_latent_x4_opt: 8.1132e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.5623e-02 hf_pixel_x4_opt: 3.6901e-02 +2025-11-04 23:28:43,345 INFO: [39..][epoch: 0, step: 5,700, lr:(5.000e-04,)] [eta: 1 day, 16:10:51, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.3184e-01 fft_frequency_x2_opt: 5.3320e-01 aux_downsample_x2_opt: 4.8292e-02 hf_pixel_x2_opt: 3.2008e-02 l1_latent_x4_opt: 8.3072e-01 fft_frequency_x4_opt: 6.2109e-01 aux_downsample_x4_opt: 6.1532e-02 hf_pixel_x4_opt: 3.3628e-02 +2025-11-04 23:30:39,674 INFO: [39..][epoch: 0, step: 5,800, lr:(5.000e-04,)] [eta: 1 day, 16:07:09, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2231e-01 fft_frequency_x2_opt: 5.2832e-01 aux_downsample_x2_opt: 5.4851e-02 hf_pixel_x2_opt: 3.5904e-02 l1_latent_x4_opt: 8.2131e-01 fft_frequency_x4_opt: 6.2402e-01 aux_downsample_x4_opt: 7.0292e-02 hf_pixel_x4_opt: 3.7948e-02 +2025-11-04 23:32:36,225 INFO: [39..][epoch: 0, step: 5,900, lr:(5.000e-04,)] [eta: 1 day, 16:03:34, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3013e-01 fft_frequency_x2_opt: 5.2026e-01 aux_downsample_x2_opt: 5.8626e-02 hf_pixel_x2_opt: 3.9680e-02 l1_latent_x4_opt: 8.3144e-01 fft_frequency_x4_opt: 6.1377e-01 aux_downsample_x4_opt: 7.3120e-02 hf_pixel_x4_opt: 4.0202e-02 +2025-11-04 23:34:32,865 INFO: [39..][epoch: 0, step: 6,000, lr:(5.000e-04,)] [eta: 1 day, 16:00:05, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1718e-01 fft_frequency_x2_opt: 5.1392e-01 aux_downsample_x2_opt: 5.3439e-02 hf_pixel_x2_opt: 3.5145e-02 l1_latent_x4_opt: 8.1397e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.6379e-02 hf_pixel_x4_opt: 3.5393e-02 +2025-11-04 23:36:29,532 INFO: [39..][epoch: 0, step: 6,100, lr:(5.000e-04,)] [eta: 1 day, 15:56:39, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1566e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 5.3600e-02 hf_pixel_x2_opt: 3.5571e-02 l1_latent_x4_opt: 8.0750e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.5888e-02 hf_pixel_x4_opt: 3.7176e-02 +2025-11-04 23:38:26,125 INFO: [39..][epoch: 0, step: 6,200, lr:(5.000e-04,)] [eta: 1 day, 15:53:15, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1707e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 5.6909e-02 hf_pixel_x2_opt: 3.9970e-02 l1_latent_x4_opt: 8.1823e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 7.0597e-02 hf_pixel_x4_opt: 4.2497e-02 +2025-11-04 23:40:22,513 INFO: [39..][epoch: 0, step: 6,300, lr:(5.000e-04,)] [eta: 1 day, 15:49:50, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1837e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.2915e-02 hf_pixel_x2_opt: 3.5235e-02 l1_latent_x4_opt: 8.0716e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.4476e-02 hf_pixel_x4_opt: 3.5771e-02 +2025-11-04 23:42:18,964 INFO: [39..][epoch: 0, step: 6,400, lr:(5.000e-04,)] [eta: 1 day, 15:46:28, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2428e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 5.0964e-02 hf_pixel_x2_opt: 3.2273e-02 l1_latent_x4_opt: 8.2531e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.5240e-02 hf_pixel_x4_opt: 3.3747e-02 +2025-11-04 23:44:15,421 INFO: [39..][epoch: 0, step: 6,500, lr:(5.000e-04,)] [eta: 1 day, 15:43:10, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.3215e-01 fft_frequency_x2_opt: 5.1807e-01 aux_downsample_x2_opt: 5.1653e-02 hf_pixel_x2_opt: 3.2740e-02 l1_latent_x4_opt: 8.3513e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.5611e-02 hf_pixel_x4_opt: 3.4168e-02 +2025-11-04 23:46:11,836 INFO: [39..][epoch: 0, step: 6,600, lr:(5.000e-04,)] [eta: 1 day, 15:39:53, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2091e-01 fft_frequency_x2_opt: 5.2490e-01 aux_downsample_x2_opt: 5.2186e-02 hf_pixel_x2_opt: 3.5099e-02 l1_latent_x4_opt: 8.1703e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.6320e-02 hf_pixel_x4_opt: 3.6541e-02 +2025-11-04 23:48:08,279 INFO: [39..][epoch: 0, step: 6,700, lr:(5.000e-04,)] [eta: 1 day, 15:36:39, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0777e-01 fft_frequency_x2_opt: 5.1392e-01 aux_downsample_x2_opt: 5.3947e-02 hf_pixel_x2_opt: 3.5543e-02 l1_latent_x4_opt: 8.0757e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.9287e-02 hf_pixel_x4_opt: 3.7066e-02 +2025-11-04 23:50:04,706 INFO: [39..][epoch: 0, step: 6,800, lr:(5.000e-04,)] [eta: 1 day, 15:33:27, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0675e-01 fft_frequency_x2_opt: 5.1123e-01 aux_downsample_x2_opt: 4.7081e-02 hf_pixel_x2_opt: 3.1549e-02 l1_latent_x4_opt: 7.9987e-01 fft_frequency_x4_opt: 5.9082e-01 aux_downsample_x4_opt: 5.7373e-02 hf_pixel_x4_opt: 3.1608e-02 +2025-11-04 23:52:01,129 INFO: [39..][epoch: 0, step: 6,900, lr:(5.000e-04,)] [eta: 1 day, 15:30:17, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3777e-01 fft_frequency_x2_opt: 5.3320e-01 aux_downsample_x2_opt: 5.1620e-02 hf_pixel_x2_opt: 3.3743e-02 l1_latent_x4_opt: 8.3492e-01 fft_frequency_x4_opt: 6.2207e-01 aux_downsample_x4_opt: 6.4162e-02 hf_pixel_x4_opt: 3.4807e-02 +2025-11-04 23:53:57,547 INFO: [39..][epoch: 0, step: 7,000, lr:(5.000e-04,)] [eta: 1 day, 15:27:09, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2861e-01 fft_frequency_x2_opt: 5.2637e-01 aux_downsample_x2_opt: 5.6478e-02 hf_pixel_x2_opt: 3.6741e-02 l1_latent_x4_opt: 8.2927e-01 fft_frequency_x4_opt: 6.2305e-01 aux_downsample_x4_opt: 7.1869e-02 hf_pixel_x4_opt: 3.8386e-02 +2025-11-04 23:55:53,970 INFO: [39..][epoch: 0, step: 7,100, lr:(5.000e-04,)] [eta: 1 day, 15:24:03, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2442e-01 fft_frequency_x2_opt: 5.2490e-01 aux_downsample_x2_opt: 4.6674e-02 hf_pixel_x2_opt: 3.0152e-02 l1_latent_x4_opt: 8.2479e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.0000e-02 hf_pixel_x4_opt: 3.1321e-02 +2025-11-04 23:57:51,715 INFO: [39..][epoch: 0, step: 7,200, lr:(5.000e-04,)] [eta: 1 day, 15:21:21, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.0211e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 4.8883e-02 hf_pixel_x2_opt: 3.3282e-02 l1_latent_x4_opt: 7.9622e-01 fft_frequency_x4_opt: 5.9961e-01 aux_downsample_x4_opt: 6.1044e-02 hf_pixel_x4_opt: 3.4014e-02 +2025-11-04 23:59:48,070 INFO: [39..][epoch: 0, step: 7,300, lr:(5.000e-04,)] [eta: 1 day, 15:18:17, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0794e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 4.5475e-02 hf_pixel_x2_opt: 2.9959e-02 l1_latent_x4_opt: 8.0073e-01 fft_frequency_x4_opt: 6.0205e-01 aux_downsample_x4_opt: 5.8277e-02 hf_pixel_x4_opt: 3.0738e-02 +2025-11-05 00:01:44,293 INFO: [39..][epoch: 0, step: 7,400, lr:(5.000e-04,)] [eta: 1 day, 15:15:13, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0942e-01 fft_frequency_x2_opt: 5.1733e-01 aux_downsample_x2_opt: 4.9813e-02 hf_pixel_x2_opt: 3.2373e-02 l1_latent_x4_opt: 8.0879e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.4956e-02 hf_pixel_x4_opt: 3.3994e-02 +2025-11-05 00:03:40,653 INFO: [39..][epoch: 0, step: 7,500, lr:(5.000e-04,)] [eta: 1 day, 15:12:14, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1865e-01 fft_frequency_x2_opt: 5.1440e-01 aux_downsample_x2_opt: 5.4338e-02 hf_pixel_x2_opt: 3.5839e-02 l1_latent_x4_opt: 8.0831e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.9885e-02 hf_pixel_x4_opt: 3.7647e-02 +2025-11-05 00:05:37,761 INFO: [39..][epoch: 0, step: 7,600, lr:(5.000e-04,)] [eta: 1 day, 15:09:27, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.0086e-01 fft_frequency_x2_opt: 5.1074e-01 aux_downsample_x2_opt: 5.0750e-02 hf_pixel_x2_opt: 3.2369e-02 l1_latent_x4_opt: 8.0064e-01 fft_frequency_x4_opt: 5.9961e-01 aux_downsample_x4_opt: 6.4493e-02 hf_pixel_x4_opt: 3.3574e-02 +2025-11-05 00:07:34,366 INFO: [39..][epoch: 0, step: 7,700, lr:(5.000e-04,)] [eta: 1 day, 15:06:34, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0883e-01 fft_frequency_x2_opt: 5.0903e-01 aux_downsample_x2_opt: 5.9729e-02 hf_pixel_x2_opt: 3.9565e-02 l1_latent_x4_opt: 8.0311e-01 fft_frequency_x4_opt: 5.9912e-01 aux_downsample_x4_opt: 7.4543e-02 hf_pixel_x4_opt: 4.1734e-02 +2025-11-05 00:09:31,021 INFO: [39..][epoch: 0, step: 7,800, lr:(5.000e-04,)] [eta: 1 day, 15:03:43, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1998e-01 fft_frequency_x2_opt: 5.2271e-01 aux_downsample_x2_opt: 5.1699e-02 hf_pixel_x2_opt: 3.4036e-02 l1_latent_x4_opt: 8.1383e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.5919e-02 hf_pixel_x4_opt: 3.6380e-02 +2025-11-05 00:11:27,330 INFO: [39..][epoch: 0, step: 7,900, lr:(5.000e-04,)] [eta: 1 day, 15:00:49, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1977e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 5.2981e-02 hf_pixel_x2_opt: 3.4541e-02 l1_latent_x4_opt: 8.1134e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.6665e-02 hf_pixel_x4_opt: 3.5944e-02 +2025-11-05 00:13:24,422 INFO: [39..][epoch: 0, step: 8,000, lr:(5.000e-04,)] [eta: 1 day, 14:58:07, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1587e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 4.6770e-02 hf_pixel_x2_opt: 3.0900e-02 l1_latent_x4_opt: 8.0536e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 5.7836e-02 hf_pixel_x4_opt: 3.1629e-02 +2025-11-05 00:15:20,672 INFO: [39..][epoch: 0, step: 8,100, lr:(5.000e-04,)] [eta: 1 day, 14:55:15, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2930e-01 fft_frequency_x2_opt: 5.2368e-01 aux_downsample_x2_opt: 5.5413e-02 hf_pixel_x2_opt: 3.6058e-02 l1_latent_x4_opt: 8.2860e-01 fft_frequency_x4_opt: 6.2061e-01 aux_downsample_x4_opt: 7.0316e-02 hf_pixel_x4_opt: 3.7804e-02 +2025-11-05 00:17:18,367 INFO: [39..][epoch: 0, step: 8,200, lr:(5.000e-04,)] [eta: 1 day, 14:52:44, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.0207e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 4.7494e-02 hf_pixel_x2_opt: 3.0456e-02 l1_latent_x4_opt: 8.1880e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.3404e-02 hf_pixel_x4_opt: 3.4301e-02 +2025-11-05 00:19:14,635 INFO: [39..][epoch: 0, step: 8,300, lr:(5.000e-04,)] [eta: 1 day, 14:49:54, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1440e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.3683e-02 hf_pixel_x2_opt: 3.4226e-02 l1_latent_x4_opt: 8.1392e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.9305e-02 hf_pixel_x4_opt: 3.6230e-02 +2025-11-05 00:21:10,996 INFO: [39..][epoch: 0, step: 8,400, lr:(5.000e-04,)] [eta: 1 day, 14:47:07, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0365e-01 fft_frequency_x2_opt: 5.1294e-01 aux_downsample_x2_opt: 5.2795e-02 hf_pixel_x2_opt: 3.4689e-02 l1_latent_x4_opt: 8.0555e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.6929e-02 hf_pixel_x4_opt: 3.6484e-02 +2025-11-05 00:23:07,380 INFO: [39..][epoch: 0, step: 8,500, lr:(5.000e-04,)] [eta: 1 day, 14:44:21, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2008e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 5.1670e-02 hf_pixel_x2_opt: 3.4529e-02 l1_latent_x4_opt: 8.0975e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.2426e-02 hf_pixel_x4_opt: 3.5137e-02 +2025-11-05 00:25:03,851 INFO: [39..][epoch: 0, step: 8,600, lr:(5.000e-04,)] [eta: 1 day, 14:41:37, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.4111e-01 fft_frequency_x2_opt: 5.3345e-01 aux_downsample_x2_opt: 5.1922e-02 hf_pixel_x2_opt: 3.5655e-02 l1_latent_x4_opt: 8.3993e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.2603e-02 hf_pixel_x4_opt: 3.5530e-02 +2025-11-05 00:27:01,786 INFO: [39..][epoch: 0, step: 8,700, lr:(5.000e-04,)] [eta: 1 day, 14:39:14, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.2276e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 5.2543e-02 hf_pixel_x2_opt: 3.3929e-02 l1_latent_x4_opt: 8.1698e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 6.7030e-02 hf_pixel_x4_opt: 3.5850e-02 +2025-11-05 00:28:58,042 INFO: [39..][epoch: 0, step: 8,800, lr:(5.000e-04,)] [eta: 1 day, 14:36:30, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.2579e-01 fft_frequency_x2_opt: 5.2490e-01 aux_downsample_x2_opt: 5.4538e-02 hf_pixel_x2_opt: 3.6633e-02 l1_latent_x4_opt: 8.2749e-01 fft_frequency_x4_opt: 6.1377e-01 aux_downsample_x4_opt: 6.6865e-02 hf_pixel_x4_opt: 3.7711e-02 +2025-11-05 00:30:54,618 INFO: [39..][epoch: 0, step: 8,900, lr:(5.000e-04,)] [eta: 1 day, 14:33:51, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1061e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 5.9851e-02 hf_pixel_x2_opt: 4.0016e-02 l1_latent_x4_opt: 8.0972e-01 fft_frequency_x4_opt: 6.1377e-01 aux_downsample_x4_opt: 7.5162e-02 hf_pixel_x4_opt: 4.2062e-02 +2025-11-05 00:32:51,661 INFO: [39..][epoch: 0, step: 9,000, lr:(5.000e-04,)] [eta: 1 day, 14:31:18, time (data): 1.170 (0.000)] l1_latent_x2_opt: 6.8600e-01 fft_frequency_x2_opt: 5.0098e-01 aux_downsample_x2_opt: 4.5746e-02 hf_pixel_x2_opt: 2.9545e-02 l1_latent_x4_opt: 7.8028e-01 fft_frequency_x4_opt: 5.8691e-01 aux_downsample_x4_opt: 5.6090e-02 hf_pixel_x4_opt: 2.9698e-02 +2025-11-05 00:34:47,915 INFO: [39..][epoch: 0, step: 9,100, lr:(5.000e-04,)] [eta: 1 day, 14:28:37, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.4685e-01 fft_frequency_x2_opt: 5.3369e-01 aux_downsample_x2_opt: 5.7635e-02 hf_pixel_x2_opt: 3.8649e-02 l1_latent_x4_opt: 8.4541e-01 fft_frequency_x4_opt: 6.3281e-01 aux_downsample_x4_opt: 7.4188e-02 hf_pixel_x4_opt: 4.1732e-02 +2025-11-05 00:36:44,252 INFO: [39..][epoch: 0, step: 9,200, lr:(5.000e-04,)] [eta: 1 day, 14:25:57, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1016e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 5.2354e-02 hf_pixel_x2_opt: 3.5149e-02 l1_latent_x4_opt: 8.0149e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 6.4473e-02 hf_pixel_x4_opt: 3.6102e-02 +2025-11-05 00:38:42,366 INFO: [39..][epoch: 0, step: 9,300, lr:(5.000e-04,)] [eta: 1 day, 14:23:41, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.0808e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 5.3909e-02 hf_pixel_x2_opt: 3.6250e-02 l1_latent_x4_opt: 8.1243e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.8033e-02 hf_pixel_x4_opt: 3.6265e-02 +2025-11-05 00:40:40,109 INFO: [39..][epoch: 0, step: 9,400, lr:(5.000e-04,)] [eta: 1 day, 14:21:20, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.2376e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.1161e-02 hf_pixel_x2_opt: 3.3696e-02 l1_latent_x4_opt: 8.3043e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.4490e-02 hf_pixel_x4_opt: 3.5874e-02 +2025-11-05 00:42:38,522 INFO: [39..][epoch: 0, step: 9,500, lr:(5.000e-04,)] [eta: 1 day, 14:19:08, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.2237e-01 fft_frequency_x2_opt: 5.2637e-01 aux_downsample_x2_opt: 5.2818e-02 hf_pixel_x2_opt: 3.4209e-02 l1_latent_x4_opt: 8.1551e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.4136e-02 hf_pixel_x4_opt: 3.5597e-02 +2025-11-05 00:44:34,750 INFO: [39..][epoch: 0, step: 9,600, lr:(5.000e-04,)] [eta: 1 day, 14:16:30, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.3547e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 5.4301e-02 hf_pixel_x2_opt: 3.6328e-02 l1_latent_x4_opt: 8.2833e-01 fft_frequency_x4_opt: 6.1914e-01 aux_downsample_x4_opt: 6.6706e-02 hf_pixel_x4_opt: 3.7487e-02 +2025-11-05 00:46:32,650 INFO: [39..][epoch: 0, step: 9,700, lr:(5.000e-04,)] [eta: 1 day, 14:14:13, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.2547e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 4.9815e-02 hf_pixel_x2_opt: 3.2408e-02 l1_latent_x4_opt: 8.2456e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.3160e-02 hf_pixel_x4_opt: 3.3183e-02 +2025-11-05 00:48:29,939 INFO: [39..][epoch: 0, step: 9,800, lr:(5.000e-04,)] [eta: 1 day, 14:11:49, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.2853e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 4.9632e-02 hf_pixel_x2_opt: 3.2678e-02 l1_latent_x4_opt: 8.2648e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.3730e-02 hf_pixel_x4_opt: 3.4377e-02 +2025-11-05 00:50:26,342 INFO: [39..][epoch: 0, step: 9,900, lr:(5.000e-04,)] [eta: 1 day, 14:09:15, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1797e-01 fft_frequency_x2_opt: 5.0854e-01 aux_downsample_x2_opt: 4.9761e-02 hf_pixel_x2_opt: 3.1849e-02 l1_latent_x4_opt: 8.1612e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 6.4744e-02 hf_pixel_x4_opt: 3.4057e-02 +2025-11-05 00:52:24,846 INFO: [39..][epoch: 0, step: 10,000, lr:(5.000e-04,)] [eta: 1 day, 14:07:06, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.2442e-01 fft_frequency_x2_opt: 5.3418e-01 aux_downsample_x2_opt: 5.0809e-02 hf_pixel_x2_opt: 3.4572e-02 l1_latent_x4_opt: 8.1765e-01 fft_frequency_x4_opt: 6.2500e-01 aux_downsample_x4_opt: 6.2628e-02 hf_pixel_x4_opt: 3.4442e-02 +2025-11-05 00:52:24,847 INFO: Saving models and training states. +2025-11-05 00:54:36,530 INFO: Validation val_x2 + # l1_latent: 0.7653 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.7916 Best: 28.7916 @ 10000 iter + +2025-11-05 00:56:35,155 INFO: Validation val_x4 + # l1_latent: 0.8505 Best: 0.8506 @ 5000 iter + # l2_latent: 1.1895 Best: 1.1895 @ 10000 iter + # pixel_psnr_pt: 26.3594 Best: 26.3594 @ 10000 iter + +2025-11-05 00:58:31,507 INFO: [39..][epoch: 0, step: 10,100, lr:(5.000e-04,)] [eta: 1 day, 14:52:00, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2584e-01 fft_frequency_x2_opt: 5.3076e-01 aux_downsample_x2_opt: 5.6491e-02 hf_pixel_x2_opt: 3.8272e-02 l1_latent_x4_opt: 8.3369e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 7.0270e-02 hf_pixel_x4_opt: 3.9642e-02 +2025-11-05 01:00:27,797 INFO: [39..][epoch: 0, step: 10,200, lr:(5.000e-04,)] [eta: 1 day, 14:48:57, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1603e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.4658e-02 hf_pixel_x2_opt: 3.5128e-02 l1_latent_x4_opt: 8.1232e-01 fft_frequency_x4_opt: 6.1963e-01 aux_downsample_x4_opt: 6.6426e-02 hf_pixel_x4_opt: 3.5688e-02 +2025-11-05 01:02:24,108 INFO: [39..][epoch: 0, step: 10,300, lr:(5.000e-04,)] [eta: 1 day, 14:45:55, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1592e-01 fft_frequency_x2_opt: 5.1343e-01 aux_downsample_x2_opt: 5.0008e-02 hf_pixel_x2_opt: 3.1810e-02 l1_latent_x4_opt: 8.1925e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.3956e-02 hf_pixel_x4_opt: 3.3173e-02 +2025-11-05 01:04:20,776 INFO: [39..][epoch: 0, step: 10,400, lr:(5.000e-04,)] [eta: 1 day, 14:42:58, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2826e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 5.3895e-02 hf_pixel_x2_opt: 3.6231e-02 l1_latent_x4_opt: 8.3073e-01 fft_frequency_x4_opt: 6.2207e-01 aux_downsample_x4_opt: 6.7160e-02 hf_pixel_x4_opt: 3.7169e-02 +2025-11-05 01:06:20,328 INFO: [39..][epoch: 0, step: 10,500, lr:(5.000e-04,)] [eta: 1 day, 14:40:34, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.0833e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 5.6069e-02 hf_pixel_x2_opt: 3.5842e-02 l1_latent_x4_opt: 8.0946e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.8703e-02 hf_pixel_x4_opt: 3.6865e-02 +2025-11-05 01:08:16,959 INFO: [39..][epoch: 0, step: 10,600, lr:(5.000e-04,)] [eta: 1 day, 14:37:38, time (data): 1.176 (0.000)] l1_latent_x2_opt: 6.8900e-01 fft_frequency_x2_opt: 5.0684e-01 aux_downsample_x2_opt: 5.4983e-02 hf_pixel_x2_opt: 3.7193e-02 l1_latent_x4_opt: 7.8712e-01 fft_frequency_x4_opt: 5.9619e-01 aux_downsample_x4_opt: 6.7423e-02 hf_pixel_x4_opt: 3.7035e-02 +2025-11-05 01:10:14,978 INFO: [39..][epoch: 0, step: 10,700, lr:(5.000e-04,)] [eta: 1 day, 14:34:59, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.2792e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 5.1644e-02 hf_pixel_x2_opt: 3.5416e-02 l1_latent_x4_opt: 8.3066e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.2621e-02 hf_pixel_x4_opt: 3.5108e-02 +2025-11-05 01:12:13,199 INFO: [39..][epoch: 0, step: 10,800, lr:(5.000e-04,)] [eta: 1 day, 14:32:23, time (data): 1.186 (0.000)] l1_latent_x2_opt: 7.1606e-01 fft_frequency_x2_opt: 5.1733e-01 aux_downsample_x2_opt: 5.0626e-02 hf_pixel_x2_opt: 3.3741e-02 l1_latent_x4_opt: 8.2024e-01 fft_frequency_x4_opt: 6.0449e-01 aux_downsample_x4_opt: 6.2852e-02 hf_pixel_x4_opt: 3.4603e-02 +2025-11-05 01:14:09,493 INFO: [39..][epoch: 0, step: 10,900, lr:(5.000e-04,)] [eta: 1 day, 14:29:27, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0985e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.1892e-02 hf_pixel_x2_opt: 3.4957e-02 l1_latent_x4_opt: 8.0478e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.3792e-02 hf_pixel_x4_opt: 3.5750e-02 +2025-11-05 01:16:08,014 INFO: [39..][epoch: 0, step: 11,000, lr:(5.000e-04,)] [eta: 1 day, 14:26:55, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.1898e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 4.6699e-02 hf_pixel_x2_opt: 3.0660e-02 l1_latent_x4_opt: 8.0950e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 5.9044e-02 hf_pixel_x4_opt: 3.1605e-02 +2025-11-05 01:18:04,787 INFO: [39..][epoch: 0, step: 11,100, lr:(5.000e-04,)] [eta: 1 day, 14:24:06, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.3117e-01 fft_frequency_x2_opt: 5.3076e-01 aux_downsample_x2_opt: 5.5918e-02 hf_pixel_x2_opt: 3.7775e-02 l1_latent_x4_opt: 8.2724e-01 fft_frequency_x4_opt: 6.1914e-01 aux_downsample_x4_opt: 7.0231e-02 hf_pixel_x4_opt: 3.9319e-02 +2025-11-05 01:20:02,093 INFO: [39..][epoch: 0, step: 11,200, lr:(5.000e-04,)] [eta: 1 day, 14:21:23, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.2197e-01 fft_frequency_x2_opt: 5.1538e-01 aux_downsample_x2_opt: 5.1723e-02 hf_pixel_x2_opt: 3.4896e-02 l1_latent_x4_opt: 8.2985e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.4885e-02 hf_pixel_x4_opt: 3.5750e-02 +2025-11-05 01:22:00,399 INFO: [39..][epoch: 0, step: 11,300, lr:(5.000e-04,)] [eta: 1 day, 14:18:51, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.2883e-01 fft_frequency_x2_opt: 5.3516e-01 aux_downsample_x2_opt: 5.6837e-02 hf_pixel_x2_opt: 3.7908e-02 l1_latent_x4_opt: 8.2891e-01 fft_frequency_x4_opt: 6.2744e-01 aux_downsample_x4_opt: 7.1567e-02 hf_pixel_x4_opt: 4.0220e-02 +2025-11-05 01:23:58,285 INFO: [39..][epoch: 0, step: 11,400, lr:(5.000e-04,)] [eta: 1 day, 14:16:16, time (data): 1.184 (0.000)] l1_latent_x2_opt: 6.9037e-01 fft_frequency_x2_opt: 5.0732e-01 aux_downsample_x2_opt: 4.5263e-02 hf_pixel_x2_opt: 2.9923e-02 l1_latent_x4_opt: 7.8572e-01 fft_frequency_x4_opt: 5.9521e-01 aux_downsample_x4_opt: 5.9012e-02 hf_pixel_x4_opt: 3.1999e-02 +2025-11-05 01:25:54,683 INFO: [39..][epoch: 0, step: 11,500, lr:(5.000e-04,)] [eta: 1 day, 14:13:26, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0820e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 5.2530e-02 hf_pixel_x2_opt: 3.3570e-02 l1_latent_x4_opt: 8.0968e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.5945e-02 hf_pixel_x4_opt: 3.4873e-02 +2025-11-05 01:27:50,992 INFO: [39..][epoch: 0, step: 11,600, lr:(5.000e-04,)] [eta: 1 day, 14:10:37, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1625e-01 fft_frequency_x2_opt: 5.1270e-01 aux_downsample_x2_opt: 5.5152e-02 hf_pixel_x2_opt: 3.6064e-02 l1_latent_x4_opt: 8.0712e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 6.8116e-02 hf_pixel_x4_opt: 3.7099e-02 +2025-11-05 01:29:54,817 INFO: [39..][epoch: 0, step: 11,700, lr:(5.000e-04,)] [eta: 1 day, 14:09:01, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2507e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 5.1072e-02 hf_pixel_x2_opt: 3.2370e-02 l1_latent_x4_opt: 8.2137e-01 fft_frequency_x4_opt: 6.2158e-01 aux_downsample_x4_opt: 6.4532e-02 hf_pixel_x4_opt: 3.4155e-02 +2025-11-05 01:31:53,124 INFO: [39..][epoch: 0, step: 11,800, lr:(5.000e-04,)] [eta: 1 day, 14:06:32, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.2892e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 5.7062e-02 hf_pixel_x2_opt: 3.8779e-02 l1_latent_x4_opt: 8.3415e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 7.1304e-02 hf_pixel_x4_opt: 3.9147e-02 +2025-11-05 01:33:49,562 INFO: [39..][epoch: 0, step: 11,900, lr:(5.000e-04,)] [eta: 1 day, 14:03:46, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1204e-01 fft_frequency_x2_opt: 5.1245e-01 aux_downsample_x2_opt: 4.9304e-02 hf_pixel_x2_opt: 3.1986e-02 l1_latent_x4_opt: 8.1356e-01 fft_frequency_x4_opt: 5.9912e-01 aux_downsample_x4_opt: 6.1105e-02 hf_pixel_x4_opt: 3.2419e-02 +2025-11-05 01:35:46,087 INFO: [39..][epoch: 0, step: 12,000, lr:(5.000e-04,)] [eta: 1 day, 14:01:01, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1373e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 4.6459e-02 hf_pixel_x2_opt: 2.9913e-02 l1_latent_x4_opt: 8.0420e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.0136e-02 hf_pixel_x4_opt: 3.2130e-02 +2025-11-05 01:37:42,698 INFO: [39..][epoch: 0, step: 12,100, lr:(5.000e-04,)] [eta: 1 day, 13:58:18, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.3023e-01 fft_frequency_x2_opt: 5.3101e-01 aux_downsample_x2_opt: 5.1970e-02 hf_pixel_x2_opt: 3.4858e-02 l1_latent_x4_opt: 8.2000e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.4678e-02 hf_pixel_x4_opt: 3.5985e-02 +2025-11-05 01:39:41,718 INFO: [39..][epoch: 0, step: 12,200, lr:(5.000e-04,)] [eta: 1 day, 13:55:57, time (data): 1.184 (0.000)] l1_latent_x2_opt: 7.2473e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 4.9449e-02 hf_pixel_x2_opt: 3.2702e-02 l1_latent_x4_opt: 8.2265e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.3622e-02 hf_pixel_x4_opt: 3.4056e-02 +2025-11-05 01:41:41,419 INFO: [39..][epoch: 0, step: 12,300, lr:(5.000e-04,)] [eta: 1 day, 13:53:44, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.2624e-01 fft_frequency_x2_opt: 5.2686e-01 aux_downsample_x2_opt: 5.2410e-02 hf_pixel_x2_opt: 3.4580e-02 l1_latent_x4_opt: 8.2367e-01 fft_frequency_x4_opt: 6.2061e-01 aux_downsample_x4_opt: 6.7148e-02 hf_pixel_x4_opt: 3.6317e-02 +2025-11-05 01:43:39,431 INFO: [39..][epoch: 0, step: 12,400, lr:(5.000e-04,)] [eta: 1 day, 13:51:15, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.2052e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 4.9949e-02 hf_pixel_x2_opt: 3.1450e-02 l1_latent_x4_opt: 8.1841e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.2891e-02 hf_pixel_x4_opt: 3.2817e-02 +2025-11-05 01:45:36,892 INFO: [39..][epoch: 0, step: 12,500, lr:(5.000e-04,)] [eta: 1 day, 13:48:42, time (data): 1.191 (0.000)] l1_latent_x2_opt: 6.9383e-01 fft_frequency_x2_opt: 5.1001e-01 aux_downsample_x2_opt: 4.5518e-02 hf_pixel_x2_opt: 2.9222e-02 l1_latent_x4_opt: 7.9230e-01 fft_frequency_x4_opt: 5.9668e-01 aux_downsample_x4_opt: 6.0470e-02 hf_pixel_x4_opt: 3.1940e-02 +2025-11-05 01:47:35,168 INFO: [39..][epoch: 0, step: 12,600, lr:(5.000e-04,)] [eta: 1 day, 13:46:17, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.2390e-01 fft_frequency_x2_opt: 5.2026e-01 aux_downsample_x2_opt: 5.3738e-02 hf_pixel_x2_opt: 3.5504e-02 l1_latent_x4_opt: 8.2043e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.7413e-02 hf_pixel_x4_opt: 3.6977e-02 +2025-11-05 01:49:34,068 INFO: [39..][epoch: 0, step: 12,700, lr:(5.000e-04,)] [eta: 1 day, 13:43:58, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.0838e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 5.3815e-02 hf_pixel_x2_opt: 3.5770e-02 l1_latent_x4_opt: 8.0592e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.7331e-02 hf_pixel_x4_opt: 3.7290e-02 +2025-11-05 01:51:32,584 INFO: [39..][epoch: 0, step: 12,800, lr:(5.000e-04,)] [eta: 1 day, 13:41:35, time (data): 1.188 (0.000)] l1_latent_x2_opt: 7.1791e-01 fft_frequency_x2_opt: 5.2588e-01 aux_downsample_x2_opt: 5.0643e-02 hf_pixel_x2_opt: 3.3224e-02 l1_latent_x4_opt: 8.0996e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.2874e-02 hf_pixel_x4_opt: 3.3896e-02 +2025-11-05 01:53:31,468 INFO: [39..][epoch: 0, step: 12,900, lr:(5.000e-04,)] [eta: 1 day, 13:39:16, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.0528e-01 fft_frequency_x2_opt: 5.1929e-01 aux_downsample_x2_opt: 4.5369e-02 hf_pixel_x2_opt: 2.9703e-02 l1_latent_x4_opt: 7.9795e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 5.8782e-02 hf_pixel_x4_opt: 3.1430e-02 +2025-11-05 01:55:28,625 INFO: [39..][epoch: 0, step: 13,000, lr:(5.000e-04,)] [eta: 1 day, 13:36:43, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.1579e-01 fft_frequency_x2_opt: 5.2612e-01 aux_downsample_x2_opt: 4.8641e-02 hf_pixel_x2_opt: 3.1113e-02 l1_latent_x4_opt: 8.0979e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.0358e-02 hf_pixel_x4_opt: 3.1917e-02 +2025-11-05 01:57:26,021 INFO: [39..][epoch: 0, step: 13,100, lr:(5.000e-04,)] [eta: 1 day, 13:34:12, time (data): 1.188 (0.000)] l1_latent_x2_opt: 7.2834e-01 fft_frequency_x2_opt: 5.3369e-01 aux_downsample_x2_opt: 5.6164e-02 hf_pixel_x2_opt: 3.7999e-02 l1_latent_x4_opt: 8.1446e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.6648e-02 hf_pixel_x4_opt: 3.8772e-02 +2025-11-05 01:59:23,945 INFO: [39..][epoch: 0, step: 13,200, lr:(5.000e-04,)] [eta: 1 day, 13:31:46, time (data): 1.182 (0.000)] l1_latent_x2_opt: 7.1572e-01 fft_frequency_x2_opt: 5.2197e-01 aux_downsample_x2_opt: 5.0357e-02 hf_pixel_x2_opt: 3.2517e-02 l1_latent_x4_opt: 8.1374e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.5727e-02 hf_pixel_x4_opt: 3.5429e-02 +2025-11-05 02:01:22,305 INFO: [39..][epoch: 0, step: 13,300, lr:(5.000e-04,)] [eta: 1 day, 13:29:25, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2174e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.1247e-02 hf_pixel_x2_opt: 3.3546e-02 l1_latent_x4_opt: 8.1602e-01 fft_frequency_x4_opt: 6.1865e-01 aux_downsample_x4_opt: 6.4720e-02 hf_pixel_x4_opt: 3.5335e-02 +2025-11-05 02:03:21,527 INFO: [39..][epoch: 0, step: 13,400, lr:(5.000e-04,)] [eta: 1 day, 13:27:10, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.3820e-01 fft_frequency_x2_opt: 5.3271e-01 aux_downsample_x2_opt: 6.2936e-02 hf_pixel_x2_opt: 4.2743e-02 l1_latent_x4_opt: 8.4157e-01 fft_frequency_x4_opt: 6.2061e-01 aux_downsample_x4_opt: 7.4965e-02 hf_pixel_x4_opt: 4.2225e-02 +2025-11-05 02:05:19,754 INFO: [39..][epoch: 0, step: 13,500, lr:(5.000e-04,)] [eta: 1 day, 13:24:48, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.1908e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 4.8451e-02 hf_pixel_x2_opt: 3.1246e-02 l1_latent_x4_opt: 8.1756e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.2144e-02 hf_pixel_x4_opt: 3.3130e-02 +2025-11-05 02:07:19,420 INFO: [39..][epoch: 0, step: 13,600, lr:(5.000e-04,)] [eta: 1 day, 13:22:38, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.2668e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 5.5382e-02 hf_pixel_x2_opt: 3.6567e-02 l1_latent_x4_opt: 8.2783e-01 fft_frequency_x4_opt: 6.1914e-01 aux_downsample_x4_opt: 6.9034e-02 hf_pixel_x4_opt: 3.7452e-02 +2025-11-05 02:09:18,668 INFO: [39..][epoch: 0, step: 13,700, lr:(5.000e-04,)] [eta: 1 day, 13:20:25, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.0506e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 4.9575e-02 hf_pixel_x2_opt: 3.3538e-02 l1_latent_x4_opt: 7.9686e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.2200e-02 hf_pixel_x4_opt: 3.5259e-02 +2025-11-05 02:11:17,922 INFO: [39..][epoch: 0, step: 13,800, lr:(5.000e-04,)] [eta: 1 day, 13:18:12, time (data): 1.193 (0.000)] l1_latent_x2_opt: 6.9086e-01 fft_frequency_x2_opt: 5.0342e-01 aux_downsample_x2_opt: 5.5723e-02 hf_pixel_x2_opt: 3.7553e-02 l1_latent_x4_opt: 7.8267e-01 fft_frequency_x4_opt: 5.9375e-01 aux_downsample_x4_opt: 6.7332e-02 hf_pixel_x4_opt: 3.8464e-02 +2025-11-05 02:13:16,901 INFO: [39..][epoch: 0, step: 13,900, lr:(5.000e-04,)] [eta: 1 day, 13:15:57, time (data): 1.192 (0.000)] l1_latent_x2_opt: 7.2850e-01 fft_frequency_x2_opt: 5.2466e-01 aux_downsample_x2_opt: 5.0197e-02 hf_pixel_x2_opt: 3.2086e-02 l1_latent_x4_opt: 8.2240e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.2903e-02 hf_pixel_x4_opt: 3.3144e-02 +2025-11-05 02:15:16,155 INFO: [39..][epoch: 0, step: 14,000, lr:(5.000e-04,)] [eta: 1 day, 13:13:44, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.0581e-01 fft_frequency_x2_opt: 5.1123e-01 aux_downsample_x2_opt: 4.4875e-02 hf_pixel_x2_opt: 2.8792e-02 l1_latent_x4_opt: 8.0422e-01 fft_frequency_x4_opt: 5.9570e-01 aux_downsample_x4_opt: 5.6985e-02 hf_pixel_x4_opt: 2.9182e-02 +2025-11-05 02:17:14,980 INFO: [39..][epoch: 0, step: 14,100, lr:(5.000e-04,)] [eta: 1 day, 13:11:28, time (data): 1.175 (0.000)] l1_latent_x2_opt: 7.2926e-01 fft_frequency_x2_opt: 5.2222e-01 aux_downsample_x2_opt: 5.0528e-02 hf_pixel_x2_opt: 3.3523e-02 l1_latent_x4_opt: 8.3575e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.3783e-02 hf_pixel_x4_opt: 3.3468e-02 +2025-11-05 02:19:13,670 INFO: [39..][epoch: 0, step: 14,200, lr:(5.000e-04,)] [eta: 1 day, 13:09:11, time (data): 1.184 (0.000)] l1_latent_x2_opt: 6.9882e-01 fft_frequency_x2_opt: 5.0610e-01 aux_downsample_x2_opt: 4.5592e-02 hf_pixel_x2_opt: 2.9142e-02 l1_latent_x4_opt: 7.9081e-01 fft_frequency_x4_opt: 5.9229e-01 aux_downsample_x4_opt: 5.8065e-02 hf_pixel_x4_opt: 3.1193e-02 +2025-11-05 02:21:10,590 INFO: [39..][epoch: 0, step: 14,300, lr:(5.000e-04,)] [eta: 1 day, 13:06:41, time (data): 1.166 (0.000)] l1_latent_x2_opt: 6.9667e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.2155e-02 hf_pixel_x2_opt: 3.5258e-02 l1_latent_x4_opt: 8.0220e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.5881e-02 hf_pixel_x4_opt: 3.7380e-02 +2025-11-05 02:23:07,892 INFO: [39..][epoch: 0, step: 14,400, lr:(5.000e-04,)] [eta: 1 day, 13:04:15, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.2803e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.5017e-02 hf_pixel_x2_opt: 3.5355e-02 l1_latent_x4_opt: 8.3030e-01 fft_frequency_x4_opt: 6.1914e-01 aux_downsample_x4_opt: 6.9342e-02 hf_pixel_x4_opt: 3.5947e-02 +2025-11-05 02:25:05,801 INFO: [39..][epoch: 0, step: 14,500, lr:(5.000e-04,)] [eta: 1 day, 13:01:53, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.1039e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 5.2093e-02 hf_pixel_x2_opt: 3.4765e-02 l1_latent_x4_opt: 8.1575e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.6214e-02 hf_pixel_x4_opt: 3.5876e-02 +2025-11-05 02:27:04,671 INFO: [39..][epoch: 0, step: 14,600, lr:(5.000e-04,)] [eta: 1 day, 12:59:39, time (data): 1.184 (0.000)] l1_latent_x2_opt: 7.1855e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.2271e-02 hf_pixel_x2_opt: 3.5442e-02 l1_latent_x4_opt: 8.1215e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.7091e-02 hf_pixel_x4_opt: 3.8174e-02 +2025-11-05 02:29:04,103 INFO: [39..][epoch: 0, step: 14,700, lr:(5.000e-04,)] [eta: 1 day, 12:57:29, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.1381e-01 fft_frequency_x2_opt: 5.2319e-01 aux_downsample_x2_opt: 4.9123e-02 hf_pixel_x2_opt: 3.1765e-02 l1_latent_x4_opt: 8.0827e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.1002e-02 hf_pixel_x4_opt: 3.3405e-02 +2025-11-05 02:31:03,592 INFO: [39..][epoch: 0, step: 14,800, lr:(5.000e-04,)] [eta: 1 day, 12:55:20, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.1519e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 5.2902e-02 hf_pixel_x2_opt: 3.5403e-02 l1_latent_x4_opt: 8.2137e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.6017e-02 hf_pixel_x4_opt: 3.7468e-02 +2025-11-05 02:33:03,013 INFO: [39..][epoch: 0, step: 14,900, lr:(5.000e-04,)] [eta: 1 day, 12:53:11, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.2901e-01 fft_frequency_x2_opt: 5.2783e-01 aux_downsample_x2_opt: 5.8051e-02 hf_pixel_x2_opt: 3.8579e-02 l1_latent_x4_opt: 8.3307e-01 fft_frequency_x4_opt: 6.2305e-01 aux_downsample_x4_opt: 7.0542e-02 hf_pixel_x4_opt: 3.9738e-02 +2025-11-05 02:35:02,444 INFO: [39..][epoch: 0, step: 15,000, lr:(5.000e-04,)] [eta: 1 day, 12:51:01, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.1529e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.0821e-02 hf_pixel_x2_opt: 3.3082e-02 l1_latent_x4_opt: 8.1654e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.7478e-02 hf_pixel_x4_opt: 3.5215e-02 +2025-11-05 02:35:02,445 INFO: Saving models and training states. +2025-11-05 02:37:35,556 INFO: Validation val_x2 + # l1_latent: 0.7648 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.8031 Best: 28.8031 @ 15000 iter + +2025-11-05 02:39:42,702 INFO: Validation val_x4 + # l1_latent: 0.8510 Best: 0.8510 @ 15000 iter + # l2_latent: 1.1913 Best: 1.1913 @ 15000 iter + # pixel_psnr_pt: 26.3538 Best: 26.3594 @ 10000 iter + +2025-11-05 02:41:42,003 INFO: [39..][epoch: 0, step: 15,100, lr:(5.000e-04,)] [eta: 1 day, 13:22:51, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.1948e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 4.8219e-02 hf_pixel_x2_opt: 3.1670e-02 l1_latent_x4_opt: 8.1943e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.0411e-02 hf_pixel_x4_opt: 3.3029e-02 +2025-11-05 02:43:39,340 INFO: [39..][epoch: 0, step: 15,200, lr:(5.000e-04,)] [eta: 1 day, 13:20:12, time (data): 1.177 (0.000)] l1_latent_x2_opt: 7.0635e-01 fft_frequency_x2_opt: 5.0708e-01 aux_downsample_x2_opt: 5.5318e-02 hf_pixel_x2_opt: 3.5252e-02 l1_latent_x4_opt: 8.1684e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 7.1449e-02 hf_pixel_x4_opt: 3.7947e-02 +2025-11-05 02:45:35,692 INFO: [39..][epoch: 0, step: 15,300, lr:(5.000e-04,)] [eta: 1 day, 13:17:26, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0365e-01 fft_frequency_x2_opt: 5.1147e-01 aux_downsample_x2_opt: 5.5234e-02 hf_pixel_x2_opt: 3.8143e-02 l1_latent_x4_opt: 7.9953e-01 fft_frequency_x4_opt: 6.0254e-01 aux_downsample_x4_opt: 6.7408e-02 hf_pixel_x4_opt: 3.7914e-02 +2025-11-05 02:47:33,006 INFO: [39..][epoch: 0, step: 15,400, lr:(5.000e-04,)] [eta: 1 day, 13:14:47, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.2894e-01 fft_frequency_x2_opt: 5.3320e-01 aux_downsample_x2_opt: 5.0927e-02 hf_pixel_x2_opt: 3.3467e-02 l1_latent_x4_opt: 8.2908e-01 fft_frequency_x4_opt: 6.2500e-01 aux_downsample_x4_opt: 6.5458e-02 hf_pixel_x4_opt: 3.5559e-02 +2025-11-05 02:49:32,282 INFO: [39..][epoch: 0, step: 15,500, lr:(5.000e-04,)] [eta: 1 day, 13:12:23, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.2177e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 5.0782e-02 hf_pixel_x2_opt: 3.3644e-02 l1_latent_x4_opt: 8.1267e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.3798e-02 hf_pixel_x4_opt: 3.5596e-02 +2025-11-05 02:51:31,682 INFO: [39..][epoch: 0, step: 15,600, lr:(5.000e-04,)] [eta: 1 day, 13:10:00, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.1713e-01 fft_frequency_x2_opt: 5.2222e-01 aux_downsample_x2_opt: 4.9889e-02 hf_pixel_x2_opt: 3.2452e-02 l1_latent_x4_opt: 8.1832e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 6.2664e-02 hf_pixel_x4_opt: 3.3328e-02 +2025-11-05 02:53:31,077 INFO: [39..][epoch: 0, step: 15,700, lr:(5.000e-04,)] [eta: 1 day, 13:07:38, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.1602e-01 fft_frequency_x2_opt: 5.1221e-01 aux_downsample_x2_opt: 5.0054e-02 hf_pixel_x2_opt: 3.2418e-02 l1_latent_x4_opt: 8.0944e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 6.2915e-02 hf_pixel_x4_opt: 3.4032e-02 +2025-11-05 02:55:30,358 INFO: [39..][epoch: 0, step: 15,800, lr:(5.000e-04,)] [eta: 1 day, 13:05:15, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.2987e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 5.2309e-02 hf_pixel_x2_opt: 3.4580e-02 l1_latent_x4_opt: 8.2414e-01 fft_frequency_x4_opt: 6.2012e-01 aux_downsample_x4_opt: 6.6388e-02 hf_pixel_x4_opt: 3.6408e-02 +2025-11-05 02:57:27,307 INFO: [39..][epoch: 0, step: 15,900, lr:(5.000e-04,)] [eta: 1 day, 13:02:36, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2168e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 5.5114e-02 hf_pixel_x2_opt: 3.7460e-02 l1_latent_x4_opt: 8.1245e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.6089e-02 hf_pixel_x4_opt: 3.7802e-02 +2025-11-05 02:59:25,891 INFO: [39..][epoch: 0, step: 16,000, lr:(5.000e-04,)] [eta: 1 day, 13:00:09, time (data): 1.182 (0.000)] l1_latent_x2_opt: 7.1524e-01 fft_frequency_x2_opt: 5.1978e-01 aux_downsample_x2_opt: 5.4077e-02 hf_pixel_x2_opt: 3.6413e-02 l1_latent_x4_opt: 8.1560e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.6991e-02 hf_pixel_x4_opt: 3.7968e-02 +2025-11-05 03:01:23,100 INFO: [39..][epoch: 0, step: 16,100, lr:(5.000e-04,)] [eta: 1 day, 12:57:33, time (data): 1.169 (0.000)] l1_latent_x2_opt: 7.0517e-01 fft_frequency_x2_opt: 5.1367e-01 aux_downsample_x2_opt: 5.0222e-02 hf_pixel_x2_opt: 3.3449e-02 l1_latent_x4_opt: 8.0098e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.3471e-02 hf_pixel_x4_opt: 3.5294e-02 +2025-11-05 03:03:21,258 INFO: [39..][epoch: 0, step: 16,200, lr:(5.000e-04,)] [eta: 1 day, 12:55:04, time (data): 1.180 (0.000)] l1_latent_x2_opt: 7.3200e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 5.5517e-02 hf_pixel_x2_opt: 3.6850e-02 l1_latent_x4_opt: 8.2970e-01 fft_frequency_x4_opt: 6.1865e-01 aux_downsample_x4_opt: 6.8471e-02 hf_pixel_x4_opt: 3.7401e-02 +2025-11-05 03:05:17,973 INFO: [39..][epoch: 0, step: 16,300, lr:(5.000e-04,)] [eta: 1 day, 12:52:25, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.0260e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 4.9066e-02 hf_pixel_x2_opt: 3.1963e-02 l1_latent_x4_opt: 7.9719e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.3082e-02 hf_pixel_x4_opt: 3.3353e-02 +2025-11-05 03:07:15,406 INFO: [39..][epoch: 0, step: 16,400, lr:(5.000e-04,)] [eta: 1 day, 12:49:52, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.2365e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.4612e-02 hf_pixel_x2_opt: 3.5749e-02 l1_latent_x4_opt: 8.3377e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 7.0467e-02 hf_pixel_x4_opt: 3.7904e-02 +2025-11-05 03:09:12,047 INFO: [39..][epoch: 0, step: 16,500, lr:(5.000e-04,)] [eta: 1 day, 12:47:14, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0654e-01 fft_frequency_x2_opt: 5.1099e-01 aux_downsample_x2_opt: 6.1051e-02 hf_pixel_x2_opt: 3.9447e-02 l1_latent_x4_opt: 8.0381e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 7.5523e-02 hf_pixel_x4_opt: 4.1372e-02 +2025-11-05 03:11:08,915 INFO: [39..][epoch: 0, step: 16,600, lr:(5.000e-04,)] [eta: 1 day, 12:44:38, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1193e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.4530e-02 hf_pixel_x2_opt: 3.7091e-02 l1_latent_x4_opt: 8.0748e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.9243e-02 hf_pixel_x4_opt: 3.8881e-02 +2025-11-05 03:13:05,570 INFO: [39..][epoch: 0, step: 16,700, lr:(5.000e-04,)] [eta: 1 day, 12:42:01, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.1685e-01 fft_frequency_x2_opt: 5.2417e-01 aux_downsample_x2_opt: 5.4252e-02 hf_pixel_x2_opt: 3.7450e-02 l1_latent_x4_opt: 8.1261e-01 fft_frequency_x4_opt: 6.2305e-01 aux_downsample_x4_opt: 6.8528e-02 hf_pixel_x4_opt: 3.9601e-02 +2025-11-05 03:15:03,757 INFO: [39..][epoch: 0, step: 16,800, lr:(5.000e-04,)] [eta: 1 day, 12:39:35, time (data): 1.180 (0.000)] l1_latent_x2_opt: 7.0951e-01 fft_frequency_x2_opt: 5.0952e-01 aux_downsample_x2_opt: 5.0917e-02 hf_pixel_x2_opt: 3.2723e-02 l1_latent_x4_opt: 8.1020e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.4799e-02 hf_pixel_x4_opt: 3.3855e-02 +2025-11-05 03:17:01,457 INFO: [39..][epoch: 0, step: 16,900, lr:(5.000e-04,)] [eta: 1 day, 12:37:05, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.0804e-01 fft_frequency_x2_opt: 5.1929e-01 aux_downsample_x2_opt: 4.9656e-02 hf_pixel_x2_opt: 3.2675e-02 l1_latent_x4_opt: 8.0287e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.3887e-02 hf_pixel_x4_opt: 3.5164e-02 +2025-11-05 03:18:58,970 INFO: [39..][epoch: 0, step: 17,000, lr:(5.000e-04,)] [eta: 1 day, 12:34:35, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.3220e-01 fft_frequency_x2_opt: 5.2686e-01 aux_downsample_x2_opt: 5.7466e-02 hf_pixel_x2_opt: 3.9264e-02 l1_latent_x4_opt: 8.3320e-01 fft_frequency_x4_opt: 6.1963e-01 aux_downsample_x4_opt: 7.2250e-02 hf_pixel_x4_opt: 4.0420e-02 +2025-11-05 03:20:56,275 INFO: [39..][epoch: 0, step: 17,100, lr:(5.000e-04,)] [eta: 1 day, 12:32:04, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.3092e-01 fft_frequency_x2_opt: 5.2734e-01 aux_downsample_x2_opt: 5.4662e-02 hf_pixel_x2_opt: 3.6835e-02 l1_latent_x4_opt: 8.3703e-01 fft_frequency_x4_opt: 6.2012e-01 aux_downsample_x4_opt: 6.5729e-02 hf_pixel_x4_opt: 3.6507e-02 +2025-11-05 03:22:54,695 INFO: [39..][epoch: 0, step: 17,200, lr:(5.000e-04,)] [eta: 1 day, 12:29:41, time (data): 1.182 (0.000)] l1_latent_x2_opt: 7.3448e-01 fft_frequency_x2_opt: 5.3174e-01 aux_downsample_x2_opt: 4.8740e-02 hf_pixel_x2_opt: 3.2820e-02 l1_latent_x4_opt: 8.3109e-01 fft_frequency_x4_opt: 6.2207e-01 aux_downsample_x4_opt: 6.0342e-02 hf_pixel_x4_opt: 3.3778e-02 +2025-11-05 03:24:54,295 INFO: [39..][epoch: 0, step: 17,300, lr:(5.000e-04,)] [eta: 1 day, 12:27:25, time (data): 1.200 (0.000)] l1_latent_x2_opt: 7.1523e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 5.0841e-02 hf_pixel_x2_opt: 3.2718e-02 l1_latent_x4_opt: 8.2380e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.4911e-02 hf_pixel_x4_opt: 3.3960e-02 +2025-11-05 03:26:54,063 INFO: [39..][epoch: 0, step: 17,400, lr:(5.000e-04,)] [eta: 1 day, 12:25:10, time (data): 1.198 (0.000)] l1_latent_x2_opt: 7.2779e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 5.2707e-02 hf_pixel_x2_opt: 3.5190e-02 l1_latent_x4_opt: 8.3322e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.8225e-02 hf_pixel_x4_opt: 3.7180e-02 +2025-11-05 03:28:51,758 INFO: [39..][epoch: 0, step: 17,500, lr:(5.000e-04,)] [eta: 1 day, 12:22:42, time (data): 1.181 (0.000)] l1_latent_x2_opt: 7.2218e-01 fft_frequency_x2_opt: 5.2197e-01 aux_downsample_x2_opt: 4.9528e-02 hf_pixel_x2_opt: 3.2695e-02 l1_latent_x4_opt: 8.2575e-01 fft_frequency_x4_opt: 6.2061e-01 aux_downsample_x4_opt: 6.4252e-02 hf_pixel_x4_opt: 3.5001e-02 +2025-11-05 03:30:51,122 INFO: [39..][epoch: 0, step: 17,600, lr:(5.000e-04,)] [eta: 1 day, 12:20:25, time (data): 1.192 (0.000)] l1_latent_x2_opt: 7.1524e-01 fft_frequency_x2_opt: 5.1343e-01 aux_downsample_x2_opt: 4.9643e-02 hf_pixel_x2_opt: 3.2887e-02 l1_latent_x4_opt: 8.1388e-01 fft_frequency_x4_opt: 5.9570e-01 aux_downsample_x4_opt: 6.4817e-02 hf_pixel_x4_opt: 3.5158e-02 +2025-11-05 03:32:48,323 INFO: [39..][epoch: 0, step: 17,700, lr:(5.000e-04,)] [eta: 1 day, 12:17:56, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1751e-01 fft_frequency_x2_opt: 5.1978e-01 aux_downsample_x2_opt: 4.9911e-02 hf_pixel_x2_opt: 3.2618e-02 l1_latent_x4_opt: 8.2144e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.3344e-02 hf_pixel_x4_opt: 3.4805e-02 +2025-11-05 03:34:44,734 INFO: [39..][epoch: 0, step: 17,800, lr:(5.000e-04,)] [eta: 1 day, 12:15:22, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1405e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 5.2915e-02 hf_pixel_x2_opt: 3.4875e-02 l1_latent_x4_opt: 8.2207e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 6.6730e-02 hf_pixel_x4_opt: 3.6369e-02 +2025-11-05 03:36:41,119 INFO: [39..][epoch: 0, step: 17,900, lr:(5.000e-04,)] [eta: 1 day, 12:12:48, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1222e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.2482e-02 hf_pixel_x2_opt: 3.4369e-02 l1_latent_x4_opt: 8.0976e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.4148e-02 hf_pixel_x4_opt: 3.5928e-02 +2025-11-05 03:38:37,630 INFO: [39..][epoch: 0, step: 18,000, lr:(5.000e-04,)] [eta: 1 day, 12:10:15, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1780e-01 fft_frequency_x2_opt: 5.2026e-01 aux_downsample_x2_opt: 4.7155e-02 hf_pixel_x2_opt: 3.0940e-02 l1_latent_x4_opt: 8.1799e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.0415e-02 hf_pixel_x4_opt: 3.3424e-02 +2025-11-05 03:40:34,158 INFO: [39..][epoch: 0, step: 18,100, lr:(5.000e-04,)] [eta: 1 day, 12:07:43, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1604e-01 fft_frequency_x2_opt: 5.1855e-01 aux_downsample_x2_opt: 5.2494e-02 hf_pixel_x2_opt: 3.5663e-02 l1_latent_x4_opt: 8.2142e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.6197e-02 hf_pixel_x4_opt: 3.6469e-02 +2025-11-05 03:42:30,664 INFO: [39..][epoch: 0, step: 18,200, lr:(5.000e-04,)] [eta: 1 day, 12:05:11, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1585e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 4.7830e-02 hf_pixel_x2_opt: 3.0950e-02 l1_latent_x4_opt: 8.1226e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.0854e-02 hf_pixel_x4_opt: 3.1723e-02 +2025-11-05 03:44:27,485 INFO: [39..][epoch: 0, step: 18,300, lr:(5.000e-04,)] [eta: 1 day, 12:02:41, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2084e-01 fft_frequency_x2_opt: 5.2197e-01 aux_downsample_x2_opt: 4.7642e-02 hf_pixel_x2_opt: 3.0305e-02 l1_latent_x4_opt: 8.1993e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.0996e-02 hf_pixel_x4_opt: 3.1471e-02 +2025-11-05 03:46:23,981 INFO: [39..][epoch: 0, step: 18,400, lr:(5.000e-04,)] [eta: 1 day, 12:00:10, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0837e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 4.9356e-02 hf_pixel_x2_opt: 3.2426e-02 l1_latent_x4_opt: 8.1286e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.1969e-02 hf_pixel_x4_opt: 3.2631e-02 +2025-11-05 03:48:20,400 INFO: [39..][epoch: 0, step: 18,500, lr:(5.000e-04,)] [eta: 1 day, 11:57:38, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0314e-01 fft_frequency_x2_opt: 5.1416e-01 aux_downsample_x2_opt: 5.3082e-02 hf_pixel_x2_opt: 3.4729e-02 l1_latent_x4_opt: 8.0145e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 6.8926e-02 hf_pixel_x4_opt: 3.8490e-02 +2025-11-05 03:50:16,750 INFO: [39..][epoch: 0, step: 18,600, lr:(5.000e-04,)] [eta: 1 day, 11:55:07, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1472e-01 fft_frequency_x2_opt: 5.2319e-01 aux_downsample_x2_opt: 5.5112e-02 hf_pixel_x2_opt: 3.7013e-02 l1_latent_x4_opt: 8.0620e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.8623e-02 hf_pixel_x4_opt: 3.8828e-02 +2025-11-05 03:52:15,616 INFO: [39..][epoch: 0, step: 18,700, lr:(5.000e-04,)] [eta: 1 day, 11:52:50, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.1688e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.2896e-02 hf_pixel_x2_opt: 3.3511e-02 l1_latent_x4_opt: 8.1534e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.7025e-02 hf_pixel_x4_opt: 3.5044e-02 +2025-11-05 03:54:14,760 INFO: [39..][epoch: 0, step: 18,800, lr:(5.000e-04,)] [eta: 1 day, 11:50:35, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.2892e-01 fft_frequency_x2_opt: 5.3125e-01 aux_downsample_x2_opt: 4.7149e-02 hf_pixel_x2_opt: 3.1654e-02 l1_latent_x4_opt: 8.1894e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 5.8175e-02 hf_pixel_x4_opt: 3.2419e-02 +2025-11-05 03:56:13,889 INFO: [39..][epoch: 0, step: 18,900, lr:(5.000e-04,)] [eta: 1 day, 11:48:21, time (data): 1.190 (0.000)] l1_latent_x2_opt: 7.2698e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.0332e-02 hf_pixel_x2_opt: 3.2353e-02 l1_latent_x4_opt: 8.2879e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 6.1799e-02 hf_pixel_x4_opt: 3.2537e-02 +2025-11-05 03:58:13,012 INFO: [39..][epoch: 0, step: 19,000, lr:(5.000e-04,)] [eta: 1 day, 11:46:06, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.1470e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 5.4042e-02 hf_pixel_x2_opt: 3.4352e-02 l1_latent_x4_opt: 8.1696e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 6.6321e-02 hf_pixel_x4_opt: 3.5851e-02 +2025-11-05 04:00:12,127 INFO: [39..][epoch: 0, step: 19,100, lr:(5.000e-04,)] [eta: 1 day, 11:43:51, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.0554e-01 fft_frequency_x2_opt: 5.1147e-01 aux_downsample_x2_opt: 5.3199e-02 hf_pixel_x2_opt: 3.4870e-02 l1_latent_x4_opt: 8.0844e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.8869e-02 hf_pixel_x4_opt: 3.6288e-02 +2025-11-05 04:02:10,754 INFO: [39..][epoch: 0, step: 19,200, lr:(5.000e-04,)] [eta: 1 day, 11:41:34, time (data): 1.186 (0.000)] l1_latent_x2_opt: 7.0687e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 5.9289e-02 hf_pixel_x2_opt: 3.9284e-02 l1_latent_x4_opt: 8.0710e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 7.4377e-02 hf_pixel_x4_opt: 4.0308e-02 +2025-11-05 04:04:09,189 INFO: [39..][epoch: 0, step: 19,300, lr:(5.000e-04,)] [eta: 1 day, 11:39:16, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.2137e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.6607e-02 hf_pixel_x2_opt: 3.6487e-02 l1_latent_x4_opt: 8.2328e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.9133e-02 hf_pixel_x4_opt: 3.6346e-02 +2025-11-05 04:06:07,088 INFO: [39..][epoch: 0, step: 19,400, lr:(5.000e-04,)] [eta: 1 day, 11:36:56, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.3226e-01 fft_frequency_x2_opt: 5.3052e-01 aux_downsample_x2_opt: 6.2257e-02 hf_pixel_x2_opt: 4.2484e-02 l1_latent_x4_opt: 8.4272e-01 fft_frequency_x4_opt: 6.2939e-01 aux_downsample_x4_opt: 7.7857e-02 hf_pixel_x4_opt: 4.4659e-02 +2025-11-05 04:08:04,830 INFO: [39..][epoch: 0, step: 19,500, lr:(5.000e-04,)] [eta: 1 day, 11:34:34, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1443e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 5.0183e-02 hf_pixel_x2_opt: 3.2612e-02 l1_latent_x4_opt: 8.0666e-01 fft_frequency_x4_opt: 6.0156e-01 aux_downsample_x4_opt: 6.3659e-02 hf_pixel_x4_opt: 3.3760e-02 +2025-11-05 04:10:03,662 INFO: [39..][epoch: 0, step: 19,600, lr:(5.000e-04,)] [eta: 1 day, 11:32:19, time (data): 1.188 (0.000)] l1_latent_x2_opt: 7.0588e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 4.6399e-02 hf_pixel_x2_opt: 3.1103e-02 l1_latent_x4_opt: 8.1646e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 5.8027e-02 hf_pixel_x4_opt: 3.2245e-02 +2025-11-05 04:12:03,596 INFO: [39..][epoch: 0, step: 19,700, lr:(5.000e-04,)] [eta: 1 day, 11:30:10, time (data): 1.209 (0.000)] l1_latent_x2_opt: 7.2103e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 5.7163e-02 hf_pixel_x2_opt: 3.8581e-02 l1_latent_x4_opt: 8.2191e-01 fft_frequency_x4_opt: 6.2549e-01 aux_downsample_x4_opt: 7.2359e-02 hf_pixel_x4_opt: 4.0583e-02 +2025-11-05 04:14:03,962 INFO: [39..][epoch: 0, step: 19,800, lr:(5.000e-04,)] [eta: 1 day, 11:28:03, time (data): 1.204 (0.000)] l1_latent_x2_opt: 7.1229e-01 fft_frequency_x2_opt: 5.1855e-01 aux_downsample_x2_opt: 5.2868e-02 hf_pixel_x2_opt: 3.4337e-02 l1_latent_x4_opt: 8.2027e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.9769e-02 hf_pixel_x4_opt: 3.6738e-02 +2025-11-05 04:16:02,271 INFO: [39..][epoch: 0, step: 19,900, lr:(5.000e-04,)] [eta: 1 day, 11:25:46, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.2836e-01 fft_frequency_x2_opt: 5.2734e-01 aux_downsample_x2_opt: 5.2841e-02 hf_pixel_x2_opt: 3.5589e-02 l1_latent_x4_opt: 8.2421e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 6.4228e-02 hf_pixel_x4_opt: 3.7195e-02 +2025-11-05 04:18:01,515 INFO: [39..][epoch: 0, step: 20,000, lr:(5.000e-04,)] [eta: 1 day, 11:23:33, time (data): 1.192 (0.000)] l1_latent_x2_opt: 7.2806e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 4.9743e-02 hf_pixel_x2_opt: 3.3540e-02 l1_latent_x4_opt: 8.2436e-01 fft_frequency_x4_opt: 6.1914e-01 aux_downsample_x4_opt: 6.3074e-02 hf_pixel_x4_opt: 3.5330e-02 +2025-11-05 04:18:01,517 INFO: Saving models and training states. +2025-11-05 04:20:16,310 INFO: Validation val_x2 + # l1_latent: 0.7650 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.8168 Best: 28.8168 @ 20000 iter + +2025-11-05 04:22:15,466 INFO: Validation val_x4 + # l1_latent: 0.8511 Best: 0.8511 @ 20000 iter + # l2_latent: 1.1917 Best: 1.1917 @ 20000 iter + # pixel_psnr_pt: 26.3769 Best: 26.3769 @ 20000 iter + +2025-11-05 04:24:13,140 INFO: [39..][epoch: 0, step: 20,100, lr:(5.000e-04,)] [eta: 1 day, 11:43:18, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.3490e-01 fft_frequency_x2_opt: 5.3613e-01 aux_downsample_x2_opt: 5.4547e-02 hf_pixel_x2_opt: 3.6755e-02 l1_latent_x4_opt: 8.3291e-01 fft_frequency_x4_opt: 6.3086e-01 aux_downsample_x4_opt: 6.8109e-02 hf_pixel_x4_opt: 3.7883e-02 +2025-11-05 04:26:10,569 INFO: [39..][epoch: 0, step: 20,200, lr:(5.000e-04,)] [eta: 1 day, 11:40:48, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.1697e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.8757e-02 hf_pixel_x2_opt: 4.0342e-02 l1_latent_x4_opt: 8.0864e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 7.2174e-02 hf_pixel_x4_opt: 4.1137e-02 +2025-11-05 04:28:07,979 INFO: [39..][epoch: 0, step: 20,300, lr:(5.000e-04,)] [eta: 1 day, 11:38:19, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.0730e-01 fft_frequency_x2_opt: 5.1929e-01 aux_downsample_x2_opt: 5.2475e-02 hf_pixel_x2_opt: 3.5232e-02 l1_latent_x4_opt: 8.0617e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.6259e-02 hf_pixel_x4_opt: 3.7849e-02 +2025-11-05 04:30:04,505 INFO: [39..][epoch: 0, step: 20,400, lr:(5.000e-04,)] [eta: 1 day, 11:35:46, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0733e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.2288e-02 hf_pixel_x2_opt: 3.5550e-02 l1_latent_x4_opt: 8.0616e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.6318e-02 hf_pixel_x4_opt: 3.6886e-02 +2025-11-05 04:32:01,397 INFO: [39..][epoch: 0, step: 20,500, lr:(5.000e-04,)] [eta: 1 day, 11:33:15, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0785e-01 fft_frequency_x2_opt: 5.1367e-01 aux_downsample_x2_opt: 5.2738e-02 hf_pixel_x2_opt: 3.6681e-02 l1_latent_x4_opt: 8.0166e-01 fft_frequency_x4_opt: 6.0352e-01 aux_downsample_x4_opt: 6.3870e-02 hf_pixel_x4_opt: 3.7018e-02 +2025-11-05 04:34:01,032 INFO: [39..][epoch: 0, step: 20,600, lr:(5.000e-04,)] [eta: 1 day, 11:30:58, time (data): 1.196 (0.000)] l1_latent_x2_opt: 7.2501e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 5.2077e-02 hf_pixel_x2_opt: 3.5955e-02 l1_latent_x4_opt: 8.2220e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.4202e-02 hf_pixel_x4_opt: 3.7094e-02 +2025-11-05 04:36:00,595 INFO: [39..][epoch: 0, step: 20,700, lr:(5.000e-04,)] [eta: 1 day, 11:28:41, time (data): 1.196 (0.000)] l1_latent_x2_opt: 7.1106e-01 fft_frequency_x2_opt: 5.1514e-01 aux_downsample_x2_opt: 4.5142e-02 hf_pixel_x2_opt: 2.9642e-02 l1_latent_x4_opt: 8.0619e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 5.8589e-02 hf_pixel_x4_opt: 3.1157e-02 +2025-11-05 04:37:58,262 INFO: [39..][epoch: 0, step: 20,800, lr:(5.000e-04,)] [eta: 1 day, 11:26:14, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.2003e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.4181e-02 hf_pixel_x2_opt: 3.6045e-02 l1_latent_x4_opt: 8.1100e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.8217e-02 hf_pixel_x4_opt: 3.7266e-02 +2025-11-05 04:39:57,377 INFO: [39..][epoch: 0, step: 20,900, lr:(5.000e-04,)] [eta: 1 day, 11:23:55, time (data): 1.184 (0.000)] l1_latent_x2_opt: 7.2107e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 6.2425e-02 hf_pixel_x2_opt: 4.6101e-02 l1_latent_x4_opt: 8.2371e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 7.5702e-02 hf_pixel_x4_opt: 4.6863e-02 +2025-11-05 04:41:56,477 INFO: [39..][epoch: 0, step: 21,000, lr:(5.000e-04,)] [eta: 1 day, 11:21:36, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.1631e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 5.3805e-02 hf_pixel_x2_opt: 3.5843e-02 l1_latent_x4_opt: 8.0938e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 6.7688e-02 hf_pixel_x4_opt: 3.7896e-02 +2025-11-05 04:43:53,087 INFO: [39..][epoch: 0, step: 21,100, lr:(5.000e-04,)] [eta: 1 day, 11:19:06, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.1695e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.3356e-02 hf_pixel_x2_opt: 3.7096e-02 l1_latent_x4_opt: 8.1283e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 6.6948e-02 hf_pixel_x4_opt: 3.9418e-02 +2025-11-05 04:45:49,567 INFO: [39..][epoch: 0, step: 21,200, lr:(5.000e-04,)] [eta: 1 day, 11:16:34, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2796e-01 fft_frequency_x2_opt: 5.3198e-01 aux_downsample_x2_opt: 4.9490e-02 hf_pixel_x2_opt: 3.2196e-02 l1_latent_x4_opt: 8.2546e-01 fft_frequency_x4_opt: 6.2402e-01 aux_downsample_x4_opt: 6.3587e-02 hf_pixel_x4_opt: 3.3751e-02 +2025-11-05 04:47:46,664 INFO: [39..][epoch: 0, step: 21,300, lr:(5.000e-04,)] [eta: 1 day, 11:14:06, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1069e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 4.9626e-02 hf_pixel_x2_opt: 3.2563e-02 l1_latent_x4_opt: 8.0608e-01 fft_frequency_x4_opt: 6.1377e-01 aux_downsample_x4_opt: 6.4313e-02 hf_pixel_x4_opt: 3.4700e-02 +2025-11-05 04:49:43,883 INFO: [39..][epoch: 0, step: 21,400, lr:(5.000e-04,)] [eta: 1 day, 11:11:39, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.1530e-01 fft_frequency_x2_opt: 5.1294e-01 aux_downsample_x2_opt: 5.1403e-02 hf_pixel_x2_opt: 3.4319e-02 l1_latent_x4_opt: 8.0984e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.3784e-02 hf_pixel_x4_opt: 3.4978e-02 +2025-11-05 04:51:40,898 INFO: [39..][epoch: 0, step: 21,500, lr:(5.000e-04,)] [eta: 1 day, 11:09:12, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.2920e-01 fft_frequency_x2_opt: 5.2734e-01 aux_downsample_x2_opt: 5.1664e-02 hf_pixel_x2_opt: 3.3430e-02 l1_latent_x4_opt: 8.2078e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 6.5590e-02 hf_pixel_x4_opt: 3.5471e-02 +2025-11-05 04:53:40,057 INFO: [39..][epoch: 0, step: 21,600, lr:(5.000e-04,)] [eta: 1 day, 11:06:54, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.3094e-01 fft_frequency_x2_opt: 5.2417e-01 aux_downsample_x2_opt: 5.6755e-02 hf_pixel_x2_opt: 3.5700e-02 l1_latent_x4_opt: 8.2734e-01 fft_frequency_x4_opt: 6.2256e-01 aux_downsample_x4_opt: 7.1559e-02 hf_pixel_x4_opt: 3.9060e-02 +2025-11-05 04:55:39,269 INFO: [39..][epoch: 0, step: 21,700, lr:(5.000e-04,)] [eta: 1 day, 11:04:38, time (data): 1.192 (0.000)] l1_latent_x2_opt: 6.9816e-01 fft_frequency_x2_opt: 5.1099e-01 aux_downsample_x2_opt: 5.1423e-02 hf_pixel_x2_opt: 3.3326e-02 l1_latent_x4_opt: 7.9164e-01 fft_frequency_x4_opt: 5.9814e-01 aux_downsample_x4_opt: 6.4679e-02 hf_pixel_x4_opt: 3.5547e-02 +2025-11-05 04:57:36,720 INFO: [39..][epoch: 0, step: 21,800, lr:(5.000e-04,)] [eta: 1 day, 11:02:13, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.2909e-01 fft_frequency_x2_opt: 5.2368e-01 aux_downsample_x2_opt: 5.5870e-02 hf_pixel_x2_opt: 3.7214e-02 l1_latent_x4_opt: 8.2462e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.9587e-02 hf_pixel_x4_opt: 3.8713e-02 +2025-11-05 04:59:33,971 INFO: [39..][epoch: 0, step: 21,900, lr:(5.000e-04,)] [eta: 1 day, 10:59:47, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.1160e-01 fft_frequency_x2_opt: 5.1514e-01 aux_downsample_x2_opt: 4.9490e-02 hf_pixel_x2_opt: 3.2093e-02 l1_latent_x4_opt: 8.1341e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.4110e-02 hf_pixel_x4_opt: 3.4139e-02 +2025-11-05 05:01:33,422 INFO: [39..][epoch: 0, step: 22,000, lr:(5.000e-04,)] [eta: 1 day, 10:57:32, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.3024e-01 fft_frequency_x2_opt: 5.3076e-01 aux_downsample_x2_opt: 5.2762e-02 hf_pixel_x2_opt: 3.4693e-02 l1_latent_x4_opt: 8.3165e-01 fft_frequency_x4_opt: 6.3037e-01 aux_downsample_x4_opt: 6.6683e-02 hf_pixel_x4_opt: 3.6563e-02 +2025-11-05 05:03:32,960 INFO: [39..][epoch: 0, step: 22,100, lr:(5.000e-04,)] [eta: 1 day, 10:55:18, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.2392e-01 fft_frequency_x2_opt: 5.2271e-01 aux_downsample_x2_opt: 5.6633e-02 hf_pixel_x2_opt: 3.9612e-02 l1_latent_x4_opt: 8.2572e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 7.0538e-02 hf_pixel_x4_opt: 3.9780e-02 +2025-11-05 05:05:32,488 INFO: [39..][epoch: 0, step: 22,200, lr:(5.000e-04,)] [eta: 1 day, 10:53:03, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.1830e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 4.4491e-02 hf_pixel_x2_opt: 2.8883e-02 l1_latent_x4_opt: 8.1193e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 5.6816e-02 hf_pixel_x4_opt: 2.9816e-02 +2025-11-05 05:07:29,600 INFO: [39..][epoch: 0, step: 22,300, lr:(5.000e-04,)] [eta: 1 day, 10:50:38, time (data): 1.182 (0.000)] l1_latent_x2_opt: 7.0651e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 4.8106e-02 hf_pixel_x2_opt: 3.1231e-02 l1_latent_x4_opt: 8.0522e-01 fft_frequency_x4_opt: 6.0010e-01 aux_downsample_x4_opt: 6.1028e-02 hf_pixel_x4_opt: 3.1793e-02 +2025-11-05 05:09:26,644 INFO: [39..][epoch: 0, step: 22,400, lr:(5.000e-04,)] [eta: 1 day, 10:48:12, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.2379e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 4.9394e-02 hf_pixel_x2_opt: 3.2743e-02 l1_latent_x4_opt: 8.2056e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.3807e-02 hf_pixel_x4_opt: 3.5004e-02 +2025-11-05 05:11:31,798 INFO: [39..][epoch: 0, step: 22,500, lr:(5.000e-04,)] [eta: 1 day, 10:46:24, time (data): 1.214 (0.000)] l1_latent_x2_opt: 6.9668e-01 fft_frequency_x2_opt: 5.0537e-01 aux_downsample_x2_opt: 4.6887e-02 hf_pixel_x2_opt: 2.9724e-02 l1_latent_x4_opt: 7.9717e-01 fft_frequency_x4_opt: 6.0156e-01 aux_downsample_x4_opt: 6.0060e-02 hf_pixel_x4_opt: 3.1234e-02 +2025-11-05 05:13:29,861 INFO: [39..][epoch: 0, step: 22,600, lr:(5.000e-04,)] [eta: 1 day, 10:44:03, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.2357e-01 fft_frequency_x2_opt: 5.2173e-01 aux_downsample_x2_opt: 4.9597e-02 hf_pixel_x2_opt: 3.3835e-02 l1_latent_x4_opt: 8.1212e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.1369e-02 hf_pixel_x4_opt: 3.5768e-02 +2025-11-05 05:15:29,032 INFO: [39..][epoch: 0, step: 22,700, lr:(5.000e-04,)] [eta: 1 day, 10:41:48, time (data): 1.186 (0.000)] l1_latent_x2_opt: 7.2387e-01 fft_frequency_x2_opt: 5.2222e-01 aux_downsample_x2_opt: 5.2196e-02 hf_pixel_x2_opt: 3.6089e-02 l1_latent_x4_opt: 8.1050e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.4960e-02 hf_pixel_x4_opt: 3.7503e-02 +2025-11-05 05:17:27,730 INFO: [39..][epoch: 0, step: 22,800, lr:(5.000e-04,)] [eta: 1 day, 10:39:31, time (data): 1.186 (0.000)] l1_latent_x2_opt: 7.1403e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 4.6392e-02 hf_pixel_x2_opt: 2.9763e-02 l1_latent_x4_opt: 8.0865e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 5.7372e-02 hf_pixel_x4_opt: 3.1047e-02 +2025-11-05 05:19:26,693 INFO: [39..][epoch: 0, step: 22,900, lr:(5.000e-04,)] [eta: 1 day, 10:37:15, time (data): 1.188 (0.000)] l1_latent_x2_opt: 7.1832e-01 fft_frequency_x2_opt: 5.1685e-01 aux_downsample_x2_opt: 5.4868e-02 hf_pixel_x2_opt: 3.5365e-02 l1_latent_x4_opt: 8.1119e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.9304e-02 hf_pixel_x4_opt: 3.6895e-02 +2025-11-05 05:21:25,206 INFO: [39..][epoch: 0, step: 23,000, lr:(5.000e-04,)] [eta: 1 day, 10:34:57, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.3135e-01 fft_frequency_x2_opt: 5.2588e-01 aux_downsample_x2_opt: 5.5067e-02 hf_pixel_x2_opt: 3.6422e-02 l1_latent_x4_opt: 8.3055e-01 fft_frequency_x4_opt: 6.1768e-01 aux_downsample_x4_opt: 7.1119e-02 hf_pixel_x4_opt: 3.8681e-02 +2025-11-05 05:23:24,729 INFO: [39..][epoch: 0, step: 23,100, lr:(5.000e-04,)] [eta: 1 day, 10:32:43, time (data): 1.190 (0.000)] l1_latent_x2_opt: 7.0962e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 5.5771e-02 hf_pixel_x2_opt: 3.5685e-02 l1_latent_x4_opt: 8.1011e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.8826e-02 hf_pixel_x4_opt: 3.6792e-02 +2025-11-05 05:25:24,301 INFO: [39..][epoch: 0, step: 23,200, lr:(5.000e-04,)] [eta: 1 day, 10:30:31, time (data): 1.196 (0.000)] l1_latent_x2_opt: 7.1317e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 4.3205e-02 hf_pixel_x2_opt: 2.7575e-02 l1_latent_x4_opt: 8.1394e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 5.7927e-02 hf_pixel_x4_opt: 2.8915e-02 +2025-11-05 05:27:21,536 INFO: [39..][epoch: 0, step: 23,300, lr:(5.000e-04,)] [eta: 1 day, 10:28:08, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.1524e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.0449e-02 hf_pixel_x2_opt: 3.3515e-02 l1_latent_x4_opt: 8.1743e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 6.2570e-02 hf_pixel_x4_opt: 3.4721e-02 +2025-11-05 05:29:18,956 INFO: [39..][epoch: 0, step: 23,400, lr:(5.000e-04,)] [eta: 1 day, 10:25:46, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.0703e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.8801e-02 hf_pixel_x2_opt: 4.0810e-02 l1_latent_x4_opt: 8.0829e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 7.2739e-02 hf_pixel_x4_opt: 4.2170e-02 +2025-11-05 05:31:18,512 INFO: [39..][epoch: 0, step: 23,500, lr:(5.000e-04,)] [eta: 1 day, 10:23:33, time (data): 1.187 (0.000)] l1_latent_x2_opt: 7.2460e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 5.1626e-02 hf_pixel_x2_opt: 3.4639e-02 l1_latent_x4_opt: 8.2750e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 6.6952e-02 hf_pixel_x4_opt: 3.6624e-02 +2025-11-05 05:33:17,019 INFO: [39..][epoch: 0, step: 23,600, lr:(5.000e-04,)] [eta: 1 day, 10:21:16, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.1313e-01 fft_frequency_x2_opt: 5.0952e-01 aux_downsample_x2_opt: 4.5204e-02 hf_pixel_x2_opt: 2.9154e-02 l1_latent_x4_opt: 8.0886e-01 fft_frequency_x4_opt: 5.9863e-01 aux_downsample_x4_opt: 5.7914e-02 hf_pixel_x4_opt: 3.1261e-02 +2025-11-05 05:35:13,291 INFO: [39..][epoch: 0, step: 23,700, lr:(5.000e-04,)] [eta: 1 day, 10:18:50, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.2506e-01 fft_frequency_x2_opt: 5.2173e-01 aux_downsample_x2_opt: 5.8732e-02 hf_pixel_x2_opt: 3.9077e-02 l1_latent_x4_opt: 8.1894e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 7.0691e-02 hf_pixel_x4_opt: 4.0294e-02 +2025-11-05 05:37:09,530 INFO: [39..][epoch: 0, step: 23,800, lr:(5.000e-04,)] [eta: 1 day, 10:16:24, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2622e-01 fft_frequency_x2_opt: 5.2686e-01 aux_downsample_x2_opt: 5.4648e-02 hf_pixel_x2_opt: 3.5581e-02 l1_latent_x4_opt: 8.2151e-01 fft_frequency_x4_opt: 6.2207e-01 aux_downsample_x4_opt: 6.9987e-02 hf_pixel_x4_opt: 3.8144e-02 +2025-11-05 05:39:05,805 INFO: [39..][epoch: 0, step: 23,900, lr:(5.000e-04,)] [eta: 1 day, 10:13:58, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.3261e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 5.2148e-02 hf_pixel_x2_opt: 3.4899e-02 l1_latent_x4_opt: 8.3584e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 6.4931e-02 hf_pixel_x4_opt: 3.6407e-02 +2025-11-05 05:41:09,786 INFO: [39..][epoch: 0, step: 24,000, lr:(5.000e-04,)] [eta: 1 day, 10:12:05, time (data): 1.258 (0.000)] l1_latent_x2_opt: 7.0544e-01 fft_frequency_x2_opt: 5.2002e-01 aux_downsample_x2_opt: 5.0028e-02 hf_pixel_x2_opt: 3.2449e-02 l1_latent_x4_opt: 7.9748e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.1184e-02 hf_pixel_x4_opt: 3.3578e-02 +2025-11-05 05:43:06,964 INFO: [39..][epoch: 0, step: 24,100, lr:(5.000e-04,)] [eta: 1 day, 10:09:43, time (data): 1.210 (0.000)] l1_latent_x2_opt: 7.1702e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 4.6986e-02 hf_pixel_x2_opt: 3.0681e-02 l1_latent_x4_opt: 8.1891e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.0603e-02 hf_pixel_x4_opt: 3.2662e-02 +2025-11-05 05:45:06,788 INFO: [39..][epoch: 0, step: 24,200, lr:(5.000e-04,)] [eta: 1 day, 10:07:32, time (data): 1.198 (0.000)] l1_latent_x2_opt: 7.1473e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 5.1376e-02 hf_pixel_x2_opt: 3.3965e-02 l1_latent_x4_opt: 8.1019e-01 fft_frequency_x4_opt: 6.1377e-01 aux_downsample_x4_opt: 6.3507e-02 hf_pixel_x4_opt: 3.5297e-02 +2025-11-05 05:47:04,724 INFO: [39..][epoch: 0, step: 24,300, lr:(5.000e-04,)] [eta: 1 day, 10:05:14, time (data): 1.188 (0.000)] l1_latent_x2_opt: 7.2097e-01 fft_frequency_x2_opt: 5.1855e-01 aux_downsample_x2_opt: 5.1955e-02 hf_pixel_x2_opt: 3.3860e-02 l1_latent_x4_opt: 8.1740e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.5829e-02 hf_pixel_x4_opt: 3.5407e-02 +2025-11-05 05:49:03,072 INFO: [39..][epoch: 0, step: 24,400, lr:(5.000e-04,)] [eta: 1 day, 10:02:58, time (data): 1.188 (0.000)] l1_latent_x2_opt: 7.1443e-01 fft_frequency_x2_opt: 5.1367e-01 aux_downsample_x2_opt: 4.8008e-02 hf_pixel_x2_opt: 3.2305e-02 l1_latent_x4_opt: 8.1285e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.0597e-02 hf_pixel_x4_opt: 3.3641e-02 +2025-11-05 05:51:01,177 INFO: [39..][epoch: 0, step: 24,500, lr:(5.000e-04,)] [eta: 1 day, 10:00:41, time (data): 1.184 (0.000)] l1_latent_x2_opt: 7.0732e-01 fft_frequency_x2_opt: 5.1538e-01 aux_downsample_x2_opt: 5.0115e-02 hf_pixel_x2_opt: 3.3565e-02 l1_latent_x4_opt: 8.1640e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.2773e-02 hf_pixel_x4_opt: 3.4980e-02 +2025-11-05 05:53:00,892 INFO: [39..][epoch: 0, step: 24,600, lr:(5.000e-04,)] [eta: 1 day, 9:58:30, time (data): 1.198 (0.000)] l1_latent_x2_opt: 7.1810e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 4.3972e-02 hf_pixel_x2_opt: 2.7988e-02 l1_latent_x4_opt: 8.1281e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 5.5805e-02 hf_pixel_x4_opt: 2.9290e-02 +2025-11-05 05:54:57,743 INFO: [39..][epoch: 0, step: 24,700, lr:(5.000e-04,)] [eta: 1 day, 9:56:08, time (data): 1.182 (0.000)] l1_latent_x2_opt: 7.0624e-01 fft_frequency_x2_opt: 5.1343e-01 aux_downsample_x2_opt: 4.9739e-02 hf_pixel_x2_opt: 3.3383e-02 l1_latent_x4_opt: 8.0412e-01 fft_frequency_x4_opt: 5.9961e-01 aux_downsample_x4_opt: 6.0264e-02 hf_pixel_x4_opt: 3.3299e-02 +2025-11-05 05:56:56,841 INFO: [39..][epoch: 0, step: 24,800, lr:(5.000e-04,)] [eta: 1 day, 9:53:55, time (data): 1.198 (0.000)] l1_latent_x2_opt: 7.2279e-01 fft_frequency_x2_opt: 5.2759e-01 aux_downsample_x2_opt: 5.2520e-02 hf_pixel_x2_opt: 3.6514e-02 l1_latent_x4_opt: 8.3120e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.5681e-02 hf_pixel_x4_opt: 3.8033e-02 +2025-11-05 05:58:56,670 INFO: [39..][epoch: 0, step: 24,900, lr:(5.000e-04,)] [eta: 1 day, 9:51:46, time (data): 1.198 (0.000)] l1_latent_x2_opt: 7.3076e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 6.2791e-02 hf_pixel_x2_opt: 4.4169e-02 l1_latent_x4_opt: 8.2565e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 7.7529e-02 hf_pixel_x4_opt: 4.5104e-02 +2025-11-05 06:00:55,441 INFO: [39..][epoch: 0, step: 25,000, lr:(5.000e-04,)] [eta: 1 day, 9:49:32, time (data): 1.184 (0.000)] l1_latent_x2_opt: 7.1842e-01 fft_frequency_x2_opt: 5.2637e-01 aux_downsample_x2_opt: 5.3487e-02 hf_pixel_x2_opt: 3.6181e-02 l1_latent_x4_opt: 8.3050e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 6.5778e-02 hf_pixel_x4_opt: 3.8011e-02 +2025-11-05 06:00:55,442 INFO: Saving models and training states. +2025-11-05 06:03:02,532 INFO: Validation val_x2 + # l1_latent: 0.7637 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.8202 Best: 28.8202 @ 25000 iter + +2025-11-05 06:05:09,578 INFO: Validation val_x4 + # l1_latent: 0.8518 Best: 0.8518 @ 25000 iter + # l2_latent: 1.1937 Best: 1.1937 @ 25000 iter + # pixel_psnr_pt: 26.3881 Best: 26.3881 @ 25000 iter + +2025-11-05 06:07:07,165 INFO: [39..][epoch: 0, step: 25,100, lr:(5.000e-04,)] [eta: 1 day, 10:04:05, time (data): 1.180 (0.000)] l1_latent_x2_opt: 7.2264e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.5710e-02 hf_pixel_x2_opt: 3.7939e-02 l1_latent_x4_opt: 8.2160e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.9178e-02 hf_pixel_x4_opt: 3.8981e-02 +2025-11-05 06:09:03,906 INFO: [39..][epoch: 0, step: 25,200, lr:(5.000e-04,)] [eta: 1 day, 10:01:38, time (data): 1.169 (0.000)] l1_latent_x2_opt: 7.1262e-01 fft_frequency_x2_opt: 5.2002e-01 aux_downsample_x2_opt: 5.3594e-02 hf_pixel_x2_opt: 3.6757e-02 l1_latent_x4_opt: 8.1529e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.7912e-02 hf_pixel_x4_opt: 3.8683e-02 +2025-11-05 06:11:00,150 INFO: [39..][epoch: 0, step: 25,300, lr:(5.000e-04,)] [eta: 1 day, 9:59:10, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1105e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.1293e-02 hf_pixel_x2_opt: 3.2792e-02 l1_latent_x4_opt: 8.1072e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.6031e-02 hf_pixel_x4_opt: 3.4590e-02 +2025-11-05 06:12:56,420 INFO: [39..][epoch: 0, step: 25,400, lr:(5.000e-04,)] [eta: 1 day, 9:56:42, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1262e-01 fft_frequency_x2_opt: 5.0708e-01 aux_downsample_x2_opt: 5.5441e-02 hf_pixel_x2_opt: 3.7288e-02 l1_latent_x4_opt: 8.1792e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 6.8844e-02 hf_pixel_x4_opt: 3.7096e-02 +2025-11-05 06:14:54,639 INFO: [39..][epoch: 0, step: 25,500, lr:(5.000e-04,)] [eta: 1 day, 9:54:22, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.2258e-01 fft_frequency_x2_opt: 5.2271e-01 aux_downsample_x2_opt: 5.7428e-02 hf_pixel_x2_opt: 3.8410e-02 l1_latent_x4_opt: 8.2380e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 7.2161e-02 hf_pixel_x4_opt: 4.0409e-02 +2025-11-05 06:16:52,699 INFO: [39..][epoch: 0, step: 25,600, lr:(5.000e-04,)] [eta: 1 day, 9:52:01, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.0801e-01 fft_frequency_x2_opt: 5.1440e-01 aux_downsample_x2_opt: 4.7012e-02 hf_pixel_x2_opt: 3.1135e-02 l1_latent_x4_opt: 8.1290e-01 fft_frequency_x4_opt: 5.9619e-01 aux_downsample_x4_opt: 5.6966e-02 hf_pixel_x4_opt: 3.0929e-02 +2025-11-05 06:18:48,938 INFO: [39..][epoch: 0, step: 25,700, lr:(5.000e-04,)] [eta: 1 day, 9:49:34, time (data): 1.169 (0.000)] l1_latent_x2_opt: 7.1233e-01 fft_frequency_x2_opt: 5.1294e-01 aux_downsample_x2_opt: 5.2066e-02 hf_pixel_x2_opt: 3.3907e-02 l1_latent_x4_opt: 8.0780e-01 fft_frequency_x4_opt: 6.0352e-01 aux_downsample_x4_opt: 6.4797e-02 hf_pixel_x4_opt: 3.4986e-02 +2025-11-05 06:20:45,175 INFO: [39..][epoch: 0, step: 25,800, lr:(5.000e-04,)] [eta: 1 day, 9:47:06, time (data): 1.162 (0.000)] l1_latent_x2_opt: 6.9117e-01 fft_frequency_x2_opt: 5.0806e-01 aux_downsample_x2_opt: 5.2026e-02 hf_pixel_x2_opt: 3.3439e-02 l1_latent_x4_opt: 7.9064e-01 fft_frequency_x4_opt: 5.9863e-01 aux_downsample_x4_opt: 6.4745e-02 hf_pixel_x4_opt: 3.4500e-02 +2025-11-05 06:22:41,379 INFO: [39..][epoch: 0, step: 25,900, lr:(5.000e-04,)] [eta: 1 day, 9:44:39, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.1346e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 5.0655e-02 hf_pixel_x2_opt: 3.3381e-02 l1_latent_x4_opt: 8.0722e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.4230e-02 hf_pixel_x4_opt: 3.4823e-02 +2025-11-05 06:24:37,600 INFO: [39..][epoch: 0, step: 26,000, lr:(5.000e-04,)] [eta: 1 day, 9:42:13, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.3613e-01 fft_frequency_x2_opt: 5.3418e-01 aux_downsample_x2_opt: 5.8544e-02 hf_pixel_x2_opt: 3.8797e-02 l1_latent_x4_opt: 8.4279e-01 fft_frequency_x4_opt: 6.3037e-01 aux_downsample_x4_opt: 7.2554e-02 hf_pixel_x4_opt: 4.1109e-02 +2025-11-05 06:26:33,824 INFO: [39..][epoch: 0, step: 26,100, lr:(5.000e-04,)] [eta: 1 day, 9:39:46, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.0358e-01 fft_frequency_x2_opt: 5.0952e-01 aux_downsample_x2_opt: 4.9679e-02 hf_pixel_x2_opt: 3.4426e-02 l1_latent_x4_opt: 7.9328e-01 fft_frequency_x4_opt: 5.9326e-01 aux_downsample_x4_opt: 6.0091e-02 hf_pixel_x4_opt: 3.4870e-02 +2025-11-05 06:28:30,095 INFO: [39..][epoch: 0, step: 26,200, lr:(5.000e-04,)] [eta: 1 day, 9:37:20, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.3429e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 5.4101e-02 hf_pixel_x2_opt: 3.5777e-02 l1_latent_x4_opt: 8.3654e-01 fft_frequency_x4_opt: 6.2012e-01 aux_downsample_x4_opt: 6.8370e-02 hf_pixel_x4_opt: 3.8458e-02 +2025-11-05 06:30:26,380 INFO: [39..][epoch: 0, step: 26,300, lr:(5.000e-04,)] [eta: 1 day, 9:34:54, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1816e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 5.4078e-02 hf_pixel_x2_opt: 3.4841e-02 l1_latent_x4_opt: 8.2261e-01 fft_frequency_x4_opt: 6.1572e-01 aux_downsample_x4_opt: 6.7823e-02 hf_pixel_x4_opt: 3.6763e-02 +2025-11-05 06:32:22,637 INFO: [39..][epoch: 0, step: 26,400, lr:(5.000e-04,)] [eta: 1 day, 9:32:28, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2028e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 5.0615e-02 hf_pixel_x2_opt: 3.3316e-02 l1_latent_x4_opt: 8.1179e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.5390e-02 hf_pixel_x4_opt: 3.5192e-02 +2025-11-05 06:34:22,264 INFO: [39..][epoch: 0, step: 26,500, lr:(5.000e-04,)] [eta: 1 day, 9:30:15, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.0911e-01 fft_frequency_x2_opt: 5.1245e-01 aux_downsample_x2_opt: 5.4263e-02 hf_pixel_x2_opt: 3.5623e-02 l1_latent_x4_opt: 8.0816e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.6748e-02 hf_pixel_x4_opt: 3.7981e-02 +2025-11-05 06:36:21,783 INFO: [39..][epoch: 0, step: 26,600, lr:(5.000e-04,)] [eta: 1 day, 9:28:02, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.1481e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 5.6242e-02 hf_pixel_x2_opt: 3.7205e-02 l1_latent_x4_opt: 8.0728e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.9749e-02 hf_pixel_x4_opt: 3.8647e-02 +2025-11-05 06:38:18,118 INFO: [39..][epoch: 0, step: 26,700, lr:(5.000e-04,)] [eta: 1 day, 9:25:37, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.0395e-01 fft_frequency_x2_opt: 5.0854e-01 aux_downsample_x2_opt: 4.9796e-02 hf_pixel_x2_opt: 3.2192e-02 l1_latent_x4_opt: 8.0184e-01 fft_frequency_x4_opt: 5.9521e-01 aux_downsample_x4_opt: 6.4640e-02 hf_pixel_x4_opt: 3.4121e-02 +2025-11-05 06:40:14,591 INFO: [39..][epoch: 0, step: 26,800, lr:(5.000e-04,)] [eta: 1 day, 9:23:13, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.3330e-01 fft_frequency_x2_opt: 5.2759e-01 aux_downsample_x2_opt: 5.8929e-02 hf_pixel_x2_opt: 3.9822e-02 l1_latent_x4_opt: 8.2300e-01 fft_frequency_x4_opt: 6.1768e-01 aux_downsample_x4_opt: 7.2647e-02 hf_pixel_x4_opt: 4.1602e-02 +2025-11-05 06:42:11,275 INFO: [39..][epoch: 0, step: 26,900, lr:(5.000e-04,)] [eta: 1 day, 9:20:49, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.0370e-01 fft_frequency_x2_opt: 5.0757e-01 aux_downsample_x2_opt: 5.2009e-02 hf_pixel_x2_opt: 3.5486e-02 l1_latent_x4_opt: 7.9901e-01 fft_frequency_x4_opt: 5.9375e-01 aux_downsample_x4_opt: 6.4836e-02 hf_pixel_x4_opt: 3.6481e-02 +2025-11-05 06:44:08,429 INFO: [39..][epoch: 0, step: 27,000, lr:(5.000e-04,)] [eta: 1 day, 9:18:28, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.0911e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 4.7434e-02 hf_pixel_x2_opt: 3.1338e-02 l1_latent_x4_opt: 8.1050e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 6.1164e-02 hf_pixel_x4_opt: 3.3496e-02 +2025-11-05 06:46:04,641 INFO: [39..][epoch: 0, step: 27,100, lr:(5.000e-04,)] [eta: 1 day, 9:16:04, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.2008e-01 fft_frequency_x2_opt: 5.2222e-01 aux_downsample_x2_opt: 5.4204e-02 hf_pixel_x2_opt: 3.7578e-02 l1_latent_x4_opt: 8.1985e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.5834e-02 hf_pixel_x4_opt: 3.8488e-02 +2025-11-05 06:48:01,977 INFO: [39..][epoch: 0, step: 27,200, lr:(5.000e-04,)] [eta: 1 day, 9:13:43, time (data): 1.178 (0.000)] l1_latent_x2_opt: 6.9084e-01 fft_frequency_x2_opt: 5.0464e-01 aux_downsample_x2_opt: 4.9245e-02 hf_pixel_x2_opt: 3.2208e-02 l1_latent_x4_opt: 7.9011e-01 fft_frequency_x4_opt: 5.9863e-01 aux_downsample_x4_opt: 6.4450e-02 hf_pixel_x4_opt: 3.5242e-02 +2025-11-05 06:49:59,056 INFO: [39..][epoch: 0, step: 27,300, lr:(5.000e-04,)] [eta: 1 day, 9:11:22, time (data): 1.174 (0.000)] l1_latent_x2_opt: 6.9760e-01 fft_frequency_x2_opt: 5.0635e-01 aux_downsample_x2_opt: 4.5959e-02 hf_pixel_x2_opt: 3.0075e-02 l1_latent_x4_opt: 7.8528e-01 fft_frequency_x4_opt: 5.9570e-01 aux_downsample_x4_opt: 5.8885e-02 hf_pixel_x4_opt: 3.1831e-02 +2025-11-05 06:51:55,547 INFO: [39..][epoch: 0, step: 27,400, lr:(5.000e-04,)] [eta: 1 day, 9:08:59, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.2363e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 4.8382e-02 hf_pixel_x2_opt: 3.2315e-02 l1_latent_x4_opt: 8.1869e-01 fft_frequency_x4_opt: 6.2012e-01 aux_downsample_x4_opt: 6.0531e-02 hf_pixel_x4_opt: 3.3251e-02 +2025-11-05 06:53:55,182 INFO: [39..][epoch: 0, step: 27,500, lr:(5.000e-04,)] [eta: 1 day, 9:06:48, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.0763e-01 fft_frequency_x2_opt: 5.1807e-01 aux_downsample_x2_opt: 5.2946e-02 hf_pixel_x2_opt: 3.5929e-02 l1_latent_x4_opt: 7.9985e-01 fft_frequency_x4_opt: 6.0254e-01 aux_downsample_x4_opt: 6.3534e-02 hf_pixel_x4_opt: 3.6703e-02 +2025-11-05 06:55:53,570 INFO: [39..][epoch: 0, step: 27,600, lr:(5.000e-04,)] [eta: 1 day, 9:04:32, time (data): 1.196 (0.000)] l1_latent_x2_opt: 7.1120e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 4.7861e-02 hf_pixel_x2_opt: 3.0667e-02 l1_latent_x4_opt: 8.0676e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.2102e-02 hf_pixel_x4_opt: 3.2005e-02 +2025-11-05 06:57:51,025 INFO: [39..][epoch: 0, step: 27,700, lr:(5.000e-04,)] [eta: 1 day, 9:02:13, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.1031e-01 fft_frequency_x2_opt: 5.2686e-01 aux_downsample_x2_opt: 4.3324e-02 hf_pixel_x2_opt: 2.8594e-02 l1_latent_x4_opt: 8.1161e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 5.5444e-02 hf_pixel_x4_opt: 2.9057e-02 +2025-11-05 06:59:50,266 INFO: [39..][epoch: 0, step: 27,800, lr:(5.000e-04,)] [eta: 1 day, 9:00:00, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.2079e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 4.8046e-02 hf_pixel_x2_opt: 3.0122e-02 l1_latent_x4_opt: 8.0923e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.4034e-02 hf_pixel_x4_opt: 3.3047e-02 +2025-11-05 07:01:49,570 INFO: [39..][epoch: 0, step: 27,900, lr:(5.000e-04,)] [eta: 1 day, 8:57:47, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.0997e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 5.2140e-02 hf_pixel_x2_opt: 3.5546e-02 l1_latent_x4_opt: 8.0482e-01 fft_frequency_x4_opt: 5.9473e-01 aux_downsample_x4_opt: 6.3986e-02 hf_pixel_x4_opt: 3.5903e-02 +2025-11-05 07:03:48,840 INFO: [39..][epoch: 0, step: 28,000, lr:(5.000e-04,)] [eta: 1 day, 8:55:35, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.2243e-01 fft_frequency_x2_opt: 5.2417e-01 aux_downsample_x2_opt: 5.4263e-02 hf_pixel_x2_opt: 3.8894e-02 l1_latent_x4_opt: 8.2058e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.5602e-02 hf_pixel_x4_opt: 3.9808e-02 +2025-11-05 07:05:45,449 INFO: [39..][epoch: 0, step: 28,100, lr:(5.000e-04,)] [eta: 1 day, 8:53:14, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.1324e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 4.8801e-02 hf_pixel_x2_opt: 3.1359e-02 l1_latent_x4_opt: 8.0979e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.3291e-02 hf_pixel_x4_opt: 3.2911e-02 +2025-11-05 07:07:42,093 INFO: [39..][epoch: 0, step: 28,200, lr:(5.000e-04,)] [eta: 1 day, 8:50:52, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.0204e-01 fft_frequency_x2_opt: 5.1392e-01 aux_downsample_x2_opt: 5.1841e-02 hf_pixel_x2_opt: 3.5434e-02 l1_latent_x4_opt: 8.0000e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.6098e-02 hf_pixel_x4_opt: 3.7272e-02 +2025-11-05 07:09:38,753 INFO: [39..][epoch: 0, step: 28,300, lr:(5.000e-04,)] [eta: 1 day, 8:48:31, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0208e-01 fft_frequency_x2_opt: 5.0879e-01 aux_downsample_x2_opt: 4.3703e-02 hf_pixel_x2_opt: 2.8977e-02 l1_latent_x4_opt: 7.8679e-01 fft_frequency_x4_opt: 5.9717e-01 aux_downsample_x4_opt: 5.5404e-02 hf_pixel_x4_opt: 3.0878e-02 +2025-11-05 07:11:35,101 INFO: [39..][epoch: 0, step: 28,400, lr:(5.000e-04,)] [eta: 1 day, 8:46:10, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.1270e-01 fft_frequency_x2_opt: 5.1733e-01 aux_downsample_x2_opt: 5.3474e-02 hf_pixel_x2_opt: 3.6540e-02 l1_latent_x4_opt: 8.1962e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.6619e-02 hf_pixel_x4_opt: 3.7997e-02 +2025-11-05 07:13:31,389 INFO: [39..][epoch: 0, step: 28,500, lr:(5.000e-04,)] [eta: 1 day, 8:43:48, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2427e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.4047e-02 hf_pixel_x2_opt: 3.6235e-02 l1_latent_x4_opt: 8.2801e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.9490e-02 hf_pixel_x4_opt: 3.8626e-02 +2025-11-05 07:15:28,337 INFO: [39..][epoch: 0, step: 28,600, lr:(5.000e-04,)] [eta: 1 day, 8:41:28, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.1700e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 4.9656e-02 hf_pixel_x2_opt: 3.3049e-02 l1_latent_x4_opt: 8.0977e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.3742e-02 hf_pixel_x4_opt: 3.4504e-02 +2025-11-05 07:17:24,613 INFO: [39..][epoch: 0, step: 28,700, lr:(5.000e-04,)] [eta: 1 day, 8:39:07, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.1897e-01 fft_frequency_x2_opt: 5.1855e-01 aux_downsample_x2_opt: 5.4247e-02 hf_pixel_x2_opt: 3.6312e-02 l1_latent_x4_opt: 8.2504e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.7084e-02 hf_pixel_x4_opt: 3.7500e-02 +2025-11-05 07:19:22,668 INFO: [39..][epoch: 0, step: 28,800, lr:(5.000e-04,)] [eta: 1 day, 8:36:51, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.1610e-01 fft_frequency_x2_opt: 5.2222e-01 aux_downsample_x2_opt: 5.1279e-02 hf_pixel_x2_opt: 3.3455e-02 l1_latent_x4_opt: 8.1544e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.6742e-02 hf_pixel_x4_opt: 3.5266e-02 +2025-11-05 07:21:20,112 INFO: [39..][epoch: 0, step: 28,900, lr:(5.000e-04,)] [eta: 1 day, 8:34:34, time (data): 1.182 (0.000)] l1_latent_x2_opt: 6.7290e-01 fft_frequency_x2_opt: 4.9658e-01 aux_downsample_x2_opt: 4.2169e-02 hf_pixel_x2_opt: 2.6518e-02 l1_latent_x4_opt: 7.6332e-01 fft_frequency_x4_opt: 5.8887e-01 aux_downsample_x4_opt: 5.4688e-02 hf_pixel_x4_opt: 2.8656e-02 +2025-11-05 07:23:16,316 INFO: [39..][epoch: 0, step: 29,000, lr:(5.000e-04,)] [eta: 1 day, 8:32:12, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.0412e-01 fft_frequency_x2_opt: 5.1172e-01 aux_downsample_x2_opt: 4.4025e-02 hf_pixel_x2_opt: 2.8808e-02 l1_latent_x4_opt: 8.0526e-01 fft_frequency_x4_opt: 5.9668e-01 aux_downsample_x4_opt: 5.8369e-02 hf_pixel_x4_opt: 3.0376e-02 +2025-11-05 07:25:12,505 INFO: [39..][epoch: 0, step: 29,100, lr:(5.000e-04,)] [eta: 1 day, 8:29:51, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2048e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.5994e-02 hf_pixel_x2_opt: 3.7332e-02 l1_latent_x4_opt: 8.2502e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 7.1763e-02 hf_pixel_x4_opt: 4.0095e-02 +2025-11-05 07:27:08,715 INFO: [39..][epoch: 0, step: 29,200, lr:(5.000e-04,)] [eta: 1 day, 8:27:30, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.1674e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 4.4226e-02 hf_pixel_x2_opt: 2.8802e-02 l1_latent_x4_opt: 8.0823e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 5.5495e-02 hf_pixel_x4_opt: 2.9474e-02 +2025-11-05 07:29:04,979 INFO: [39..][epoch: 0, step: 29,300, lr:(5.000e-04,)] [eta: 1 day, 8:25:10, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.1252e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.0680e-02 hf_pixel_x2_opt: 3.4476e-02 l1_latent_x4_opt: 8.0372e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.3221e-02 hf_pixel_x4_opt: 3.5571e-02 +2025-11-05 07:31:01,333 INFO: [39..][epoch: 0, step: 29,400, lr:(5.000e-04,)] [eta: 1 day, 8:22:49, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2300e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 5.2217e-02 hf_pixel_x2_opt: 3.4536e-02 l1_latent_x4_opt: 8.1638e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.3649e-02 hf_pixel_x4_opt: 3.5253e-02 +2025-11-05 07:32:57,569 INFO: [39..][epoch: 0, step: 29,500, lr:(5.000e-04,)] [eta: 1 day, 8:20:29, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2320e-01 fft_frequency_x2_opt: 5.2002e-01 aux_downsample_x2_opt: 5.1233e-02 hf_pixel_x2_opt: 3.4346e-02 l1_latent_x4_opt: 8.3078e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.4842e-02 hf_pixel_x4_opt: 3.5276e-02 +2025-11-05 07:34:54,458 INFO: [39..][epoch: 0, step: 29,600, lr:(5.000e-04,)] [eta: 1 day, 8:18:11, time (data): 1.175 (0.000)] l1_latent_x2_opt: 6.8499e-01 fft_frequency_x2_opt: 4.9780e-01 aux_downsample_x2_opt: 4.9613e-02 hf_pixel_x2_opt: 3.3421e-02 l1_latent_x4_opt: 7.8974e-01 fft_frequency_x4_opt: 5.8838e-01 aux_downsample_x4_opt: 6.1137e-02 hf_pixel_x4_opt: 3.3415e-02 +2025-11-05 07:36:51,538 INFO: [39..][epoch: 0, step: 29,700, lr:(5.000e-04,)] [eta: 1 day, 8:15:54, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.1998e-01 fft_frequency_x2_opt: 5.1685e-01 aux_downsample_x2_opt: 5.0554e-02 hf_pixel_x2_opt: 3.2782e-02 l1_latent_x4_opt: 8.2353e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.3260e-02 hf_pixel_x4_opt: 3.4286e-02 +2025-11-05 07:38:49,170 INFO: [39..][epoch: 0, step: 29,800, lr:(5.000e-04,)] [eta: 1 day, 8:13:38, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.0537e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 4.8379e-02 hf_pixel_x2_opt: 3.1648e-02 l1_latent_x4_opt: 7.9348e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 5.9859e-02 hf_pixel_x4_opt: 3.2217e-02 +2025-11-05 07:40:45,418 INFO: [39..][epoch: 0, step: 29,900, lr:(5.000e-04,)] [eta: 1 day, 8:11:18, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.2316e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.3304e-02 hf_pixel_x2_opt: 3.6446e-02 l1_latent_x4_opt: 8.1638e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.4186e-02 hf_pixel_x4_opt: 3.6755e-02 +2025-11-05 07:42:42,630 INFO: [39..][epoch: 0, step: 30,000, lr:(5.000e-04,)] [eta: 1 day, 8:09:02, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.1217e-01 fft_frequency_x2_opt: 5.1416e-01 aux_downsample_x2_opt: 5.3647e-02 hf_pixel_x2_opt: 3.5088e-02 l1_latent_x4_opt: 8.0781e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.7615e-02 hf_pixel_x4_opt: 3.7588e-02 +2025-11-05 07:42:42,631 INFO: Saving models and training states. +2025-11-05 07:44:57,017 INFO: Validation val_x2 + # l1_latent: 0.7630 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.8173 Best: 28.8202 @ 25000 iter + +2025-11-05 07:46:56,848 INFO: Validation val_x4 + # l1_latent: 0.8519 Best: 0.8519 @ 30000 iter + # l2_latent: 1.1941 Best: 1.1941 @ 30000 iter + # pixel_psnr_pt: 26.3860 Best: 26.3881 @ 25000 iter + +2025-11-05 07:48:53,961 INFO: [39..][epoch: 0, step: 30,100, lr:(5.000e-04,)] [eta: 1 day, 8:20:07, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.1077e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 4.7849e-02 hf_pixel_x2_opt: 3.0228e-02 l1_latent_x4_opt: 8.0743e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.2220e-02 hf_pixel_x4_opt: 3.2390e-02 +2025-11-05 07:50:50,534 INFO: [39..][epoch: 0, step: 30,200, lr:(5.000e-04,)] [eta: 1 day, 8:17:45, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.2201e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 5.0890e-02 hf_pixel_x2_opt: 3.1642e-02 l1_latent_x4_opt: 8.1944e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.4480e-02 hf_pixel_x4_opt: 3.2917e-02 +2025-11-05 07:52:49,139 INFO: [39..][epoch: 0, step: 30,300, lr:(5.000e-04,)] [eta: 1 day, 8:15:30, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.1181e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 4.7595e-02 hf_pixel_x2_opt: 3.0943e-02 l1_latent_x4_opt: 8.1186e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 5.9972e-02 hf_pixel_x4_opt: 3.2261e-02 +2025-11-05 07:54:46,542 INFO: [39..][epoch: 0, step: 30,400, lr:(5.000e-04,)] [eta: 1 day, 8:13:11, time (data): 1.186 (0.000)] l1_latent_x2_opt: 7.0200e-01 fft_frequency_x2_opt: 5.1514e-01 aux_downsample_x2_opt: 4.4184e-02 hf_pixel_x2_opt: 2.8348e-02 l1_latent_x4_opt: 7.9306e-01 fft_frequency_x4_opt: 6.0205e-01 aux_downsample_x4_opt: 5.5036e-02 hf_pixel_x4_opt: 2.8877e-02 +2025-11-05 07:56:44,136 INFO: [39..][epoch: 0, step: 30,500, lr:(5.000e-04,)] [eta: 1 day, 8:10:52, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.0752e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 4.5972e-02 hf_pixel_x2_opt: 3.1213e-02 l1_latent_x4_opt: 7.9235e-01 fft_frequency_x4_opt: 6.0010e-01 aux_downsample_x4_opt: 5.6252e-02 hf_pixel_x4_opt: 3.2059e-02 +2025-11-05 07:58:40,437 INFO: [39..][epoch: 0, step: 30,600, lr:(5.000e-04,)] [eta: 1 day, 8:08:30, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1940e-01 fft_frequency_x2_opt: 5.2002e-01 aux_downsample_x2_opt: 5.2060e-02 hf_pixel_x2_opt: 3.4328e-02 l1_latent_x4_opt: 8.2179e-01 fft_frequency_x4_opt: 6.1963e-01 aux_downsample_x4_opt: 6.6917e-02 hf_pixel_x4_opt: 3.7721e-02 +2025-11-05 08:00:37,025 INFO: [39..][epoch: 0, step: 30,700, lr:(5.000e-04,)] [eta: 1 day, 8:06:09, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0300e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 4.5690e-02 hf_pixel_x2_opt: 3.0528e-02 l1_latent_x4_opt: 7.9085e-01 fft_frequency_x4_opt: 5.9424e-01 aux_downsample_x4_opt: 5.7034e-02 hf_pixel_x4_opt: 3.1269e-02 +2025-11-05 08:02:34,314 INFO: [39..][epoch: 0, step: 30,800, lr:(5.000e-04,)] [eta: 1 day, 8:03:51, time (data): 1.182 (0.000)] l1_latent_x2_opt: 7.1673e-01 fft_frequency_x2_opt: 5.1392e-01 aux_downsample_x2_opt: 4.6984e-02 hf_pixel_x2_opt: 3.0234e-02 l1_latent_x4_opt: 8.1623e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.0166e-02 hf_pixel_x4_opt: 3.2093e-02 +2025-11-05 08:04:33,859 INFO: [39..][epoch: 0, step: 30,900, lr:(5.000e-04,)] [eta: 1 day, 8:01:39, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.2150e-01 fft_frequency_x2_opt: 5.2319e-01 aux_downsample_x2_opt: 4.4654e-02 hf_pixel_x2_opt: 3.0021e-02 l1_latent_x4_opt: 8.1571e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 5.6654e-02 hf_pixel_x4_opt: 3.0821e-02 +2025-11-05 08:06:30,766 INFO: [39..][epoch: 0, step: 31,000, lr:(5.000e-04,)] [eta: 1 day, 7:59:20, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0803e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 5.4159e-02 hf_pixel_x2_opt: 3.4958e-02 l1_latent_x4_opt: 8.0700e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.8903e-02 hf_pixel_x4_opt: 3.7381e-02 +2025-11-05 08:08:27,118 INFO: [39..][epoch: 0, step: 31,100, lr:(5.000e-04,)] [eta: 1 day, 7:56:58, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0489e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 4.7448e-02 hf_pixel_x2_opt: 3.1285e-02 l1_latent_x4_opt: 7.9801e-01 fft_frequency_x4_opt: 5.9814e-01 aux_downsample_x4_opt: 5.9615e-02 hf_pixel_x4_opt: 3.1783e-02 +2025-11-05 08:10:23,539 INFO: [39..][epoch: 0, step: 31,200, lr:(5.000e-04,)] [eta: 1 day, 7:54:38, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0442e-01 fft_frequency_x2_opt: 5.2002e-01 aux_downsample_x2_opt: 4.3332e-02 hf_pixel_x2_opt: 2.7771e-02 l1_latent_x4_opt: 7.9537e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 5.3923e-02 hf_pixel_x4_opt: 2.8664e-02 +2025-11-05 08:12:20,988 INFO: [39..][epoch: 0, step: 31,300, lr:(5.000e-04,)] [eta: 1 day, 7:52:20, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.0884e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 5.1760e-02 hf_pixel_x2_opt: 3.5287e-02 l1_latent_x4_opt: 8.0525e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 6.4735e-02 hf_pixel_x4_opt: 3.7535e-02 +2025-11-05 08:14:19,271 INFO: [39..][epoch: 0, step: 31,400, lr:(5.000e-04,)] [eta: 1 day, 7:50:05, time (data): 1.196 (0.000)] l1_latent_x2_opt: 7.2346e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.4136e-02 hf_pixel_x2_opt: 3.5931e-02 l1_latent_x4_opt: 8.1630e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.6071e-02 hf_pixel_x4_opt: 3.7157e-02 +2025-11-05 08:16:17,297 INFO: [39..][epoch: 0, step: 31,500, lr:(5.000e-04,)] [eta: 1 day, 7:47:50, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.0341e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 5.4461e-02 hf_pixel_x2_opt: 3.8034e-02 l1_latent_x4_opt: 8.0792e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.8076e-02 hf_pixel_x4_opt: 4.0246e-02 +2025-11-05 08:18:13,529 INFO: [39..][epoch: 0, step: 31,600, lr:(5.000e-04,)] [eta: 1 day, 7:45:29, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2608e-01 fft_frequency_x2_opt: 5.2832e-01 aux_downsample_x2_opt: 5.2464e-02 hf_pixel_x2_opt: 3.5761e-02 l1_latent_x4_opt: 8.1675e-01 fft_frequency_x4_opt: 6.1865e-01 aux_downsample_x4_opt: 6.5091e-02 hf_pixel_x4_opt: 3.7121e-02 +2025-11-05 08:20:11,570 INFO: [39..][epoch: 0, step: 31,700, lr:(5.000e-04,)] [eta: 1 day, 7:43:14, time (data): 1.175 (0.000)] l1_latent_x2_opt: 7.2234e-01 fft_frequency_x2_opt: 5.1929e-01 aux_downsample_x2_opt: 5.3511e-02 hf_pixel_x2_opt: 3.8176e-02 l1_latent_x4_opt: 8.1873e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.5188e-02 hf_pixel_x4_opt: 3.8926e-02 +2025-11-05 08:22:08,123 INFO: [39..][epoch: 0, step: 31,800, lr:(5.000e-04,)] [eta: 1 day, 7:40:54, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.1375e-01 fft_frequency_x2_opt: 5.1855e-01 aux_downsample_x2_opt: 4.9031e-02 hf_pixel_x2_opt: 3.2885e-02 l1_latent_x4_opt: 8.0962e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 6.0274e-02 hf_pixel_x4_opt: 3.3689e-02 +2025-11-05 08:24:04,489 INFO: [39..][epoch: 0, step: 31,900, lr:(5.000e-04,)] [eta: 1 day, 7:38:34, time (data): 1.163 (0.000)] l1_latent_x2_opt: 6.8658e-01 fft_frequency_x2_opt: 5.0464e-01 aux_downsample_x2_opt: 4.6756e-02 hf_pixel_x2_opt: 3.1481e-02 l1_latent_x4_opt: 7.8449e-01 fft_frequency_x4_opt: 5.9521e-01 aux_downsample_x4_opt: 5.8064e-02 hf_pixel_x4_opt: 3.2967e-02 +2025-11-05 08:26:00,704 INFO: [39..][epoch: 0, step: 32,000, lr:(5.000e-04,)] [eta: 1 day, 7:36:14, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.0959e-01 fft_frequency_x2_opt: 5.1294e-01 aux_downsample_x2_opt: 4.8752e-02 hf_pixel_x2_opt: 3.3315e-02 l1_latent_x4_opt: 7.9985e-01 fft_frequency_x4_opt: 6.0205e-01 aux_downsample_x4_opt: 6.0428e-02 hf_pixel_x4_opt: 3.4371e-02 +2025-11-05 08:27:57,471 INFO: [39..][epoch: 0, step: 32,100, lr:(5.000e-04,)] [eta: 1 day, 7:33:56, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.2899e-01 fft_frequency_x2_opt: 5.3076e-01 aux_downsample_x2_opt: 5.4627e-02 hf_pixel_x2_opt: 3.7104e-02 l1_latent_x4_opt: 8.2660e-01 fft_frequency_x4_opt: 6.2451e-01 aux_downsample_x4_opt: 6.7986e-02 hf_pixel_x4_opt: 3.8325e-02 +2025-11-05 08:29:54,194 INFO: [39..][epoch: 0, step: 32,200, lr:(5.000e-04,)] [eta: 1 day, 7:31:37, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0392e-01 fft_frequency_x2_opt: 5.0464e-01 aux_downsample_x2_opt: 4.5379e-02 hf_pixel_x2_opt: 3.0248e-02 l1_latent_x4_opt: 8.1195e-01 fft_frequency_x4_opt: 5.8984e-01 aux_downsample_x4_opt: 5.9612e-02 hf_pixel_x4_opt: 3.1622e-02 +2025-11-05 08:31:50,590 INFO: [39..][epoch: 0, step: 32,300, lr:(5.000e-04,)] [eta: 1 day, 7:29:18, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1515e-01 fft_frequency_x2_opt: 5.1343e-01 aux_downsample_x2_opt: 5.5757e-02 hf_pixel_x2_opt: 3.6637e-02 l1_latent_x4_opt: 8.1855e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 7.2633e-02 hf_pixel_x4_opt: 3.8854e-02 +2025-11-05 08:33:48,125 INFO: [39..][epoch: 0, step: 32,400, lr:(5.000e-04,)] [eta: 1 day, 7:27:02, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.2454e-01 fft_frequency_x2_opt: 5.2661e-01 aux_downsample_x2_opt: 5.1051e-02 hf_pixel_x2_opt: 3.3844e-02 l1_latent_x4_opt: 8.2505e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.4094e-02 hf_pixel_x4_opt: 3.5393e-02 +2025-11-05 08:35:45,187 INFO: [39..][epoch: 0, step: 32,500, lr:(5.000e-04,)] [eta: 1 day, 7:24:45, time (data): 1.177 (0.000)] l1_latent_x2_opt: 7.2752e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 5.7264e-02 hf_pixel_x2_opt: 3.9149e-02 l1_latent_x4_opt: 8.2560e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 7.2028e-02 hf_pixel_x4_opt: 4.0518e-02 +2025-11-05 08:37:41,705 INFO: [39..][epoch: 0, step: 32,600, lr:(5.000e-04,)] [eta: 1 day, 7:22:26, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3096e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 4.9786e-02 hf_pixel_x2_opt: 3.3409e-02 l1_latent_x4_opt: 8.2880e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.2187e-02 hf_pixel_x4_opt: 3.4383e-02 +2025-11-05 08:39:38,021 INFO: [39..][epoch: 0, step: 32,700, lr:(5.000e-04,)] [eta: 1 day, 7:20:07, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1567e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.1597e-02 hf_pixel_x2_opt: 3.4963e-02 l1_latent_x4_opt: 7.9893e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.4138e-02 hf_pixel_x4_opt: 3.7193e-02 +2025-11-05 08:41:34,866 INFO: [39..][epoch: 0, step: 32,800, lr:(5.000e-04,)] [eta: 1 day, 7:17:50, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0036e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 4.8551e-02 hf_pixel_x2_opt: 3.0915e-02 l1_latent_x4_opt: 7.9030e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 6.2123e-02 hf_pixel_x4_opt: 3.2944e-02 +2025-11-05 08:43:31,623 INFO: [39..][epoch: 0, step: 32,900, lr:(5.000e-04,)] [eta: 1 day, 7:15:33, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.3026e-01 fft_frequency_x2_opt: 5.2832e-01 aux_downsample_x2_opt: 5.9128e-02 hf_pixel_x2_opt: 3.9578e-02 l1_latent_x4_opt: 8.2738e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 7.2523e-02 hf_pixel_x4_opt: 4.1338e-02 +2025-11-05 08:45:28,999 INFO: [39..][epoch: 0, step: 33,000, lr:(5.000e-04,)] [eta: 1 day, 7:13:17, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.0770e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.2527e-02 hf_pixel_x2_opt: 3.4950e-02 l1_latent_x4_opt: 8.0106e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.5465e-02 hf_pixel_x4_opt: 3.5906e-02 +2025-11-05 08:47:26,853 INFO: [39..][epoch: 0, step: 33,100, lr:(5.000e-04,)] [eta: 1 day, 7:11:03, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.2817e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 5.3863e-02 hf_pixel_x2_opt: 3.6693e-02 l1_latent_x4_opt: 8.1968e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.5796e-02 hf_pixel_x4_opt: 3.8097e-02 +2025-11-05 08:49:23,152 INFO: [39..][epoch: 0, step: 33,200, lr:(5.000e-04,)] [eta: 1 day, 7:08:45, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0696e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.0762e-02 hf_pixel_x2_opt: 3.3987e-02 l1_latent_x4_opt: 8.0022e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 6.1684e-02 hf_pixel_x4_opt: 3.4040e-02 +2025-11-05 08:51:20,027 INFO: [39..][epoch: 0, step: 33,300, lr:(5.000e-04,)] [eta: 1 day, 7:06:28, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0921e-01 fft_frequency_x2_opt: 5.1489e-01 aux_downsample_x2_opt: 4.9154e-02 hf_pixel_x2_opt: 3.2970e-02 l1_latent_x4_opt: 7.9976e-01 fft_frequency_x4_opt: 6.0254e-01 aux_downsample_x4_opt: 6.2305e-02 hf_pixel_x4_opt: 3.4866e-02 +2025-11-05 08:53:16,723 INFO: [39..][epoch: 0, step: 33,400, lr:(5.000e-04,)] [eta: 1 day, 7:04:11, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1804e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 5.1966e-02 hf_pixel_x2_opt: 3.4202e-02 l1_latent_x4_opt: 8.1569e-01 fft_frequency_x4_opt: 6.1768e-01 aux_downsample_x4_opt: 6.6442e-02 hf_pixel_x4_opt: 3.6430e-02 +2025-11-05 08:55:13,586 INFO: [39..][epoch: 0, step: 33,500, lr:(5.000e-04,)] [eta: 1 day, 7:01:54, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.3106e-01 fft_frequency_x2_opt: 5.2588e-01 aux_downsample_x2_opt: 5.0814e-02 hf_pixel_x2_opt: 3.3573e-02 l1_latent_x4_opt: 8.2400e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 6.3092e-02 hf_pixel_x4_opt: 3.3854e-02 +2025-11-05 08:57:09,978 INFO: [39..][epoch: 0, step: 33,600, lr:(5.000e-04,)] [eta: 1 day, 6:59:37, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1139e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 5.4294e-02 hf_pixel_x2_opt: 3.6075e-02 l1_latent_x4_opt: 8.0533e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 6.5726e-02 hf_pixel_x4_opt: 3.6300e-02 +2025-11-05 08:59:06,312 INFO: [39..][epoch: 0, step: 33,700, lr:(5.000e-04,)] [eta: 1 day, 6:57:19, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2626e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.5852e-02 hf_pixel_x2_opt: 3.7693e-02 l1_latent_x4_opt: 8.2719e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.8950e-02 hf_pixel_x4_opt: 3.8604e-02 +2025-11-05 09:01:02,580 INFO: [39..][epoch: 0, step: 33,800, lr:(5.000e-04,)] [eta: 1 day, 6:55:02, time (data): 1.162 (0.000)] l1_latent_x2_opt: 6.9080e-01 fft_frequency_x2_opt: 5.0562e-01 aux_downsample_x2_opt: 5.2201e-02 hf_pixel_x2_opt: 3.5052e-02 l1_latent_x4_opt: 7.9013e-01 fft_frequency_x4_opt: 5.9570e-01 aux_downsample_x4_opt: 6.6592e-02 hf_pixel_x4_opt: 3.7318e-02 +2025-11-05 09:02:59,197 INFO: [39..][epoch: 0, step: 33,900, lr:(5.000e-04,)] [eta: 1 day, 6:52:45, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0875e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 4.5306e-02 hf_pixel_x2_opt: 2.9152e-02 l1_latent_x4_opt: 8.0920e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 5.8636e-02 hf_pixel_x4_opt: 3.0466e-02 +2025-11-05 09:04:56,065 INFO: [39..][epoch: 0, step: 34,000, lr:(5.000e-04,)] [eta: 1 day, 6:50:29, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2115e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.8160e-02 hf_pixel_x2_opt: 4.0913e-02 l1_latent_x4_opt: 8.1730e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 7.3758e-02 hf_pixel_x4_opt: 4.3643e-02 +2025-11-05 09:06:53,344 INFO: [39..][epoch: 0, step: 34,100, lr:(5.000e-04,)] [eta: 1 day, 6:48:14, time (data): 1.170 (0.000)] l1_latent_x2_opt: 6.8943e-01 fft_frequency_x2_opt: 5.0977e-01 aux_downsample_x2_opt: 4.1465e-02 hf_pixel_x2_opt: 2.6649e-02 l1_latent_x4_opt: 7.8019e-01 fft_frequency_x4_opt: 5.9717e-01 aux_downsample_x4_opt: 5.3959e-02 hf_pixel_x4_opt: 2.7907e-02 +2025-11-05 09:08:50,114 INFO: [39..][epoch: 0, step: 34,200, lr:(5.000e-04,)] [eta: 1 day, 6:45:59, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2117e-01 fft_frequency_x2_opt: 5.2661e-01 aux_downsample_x2_opt: 5.4878e-02 hf_pixel_x2_opt: 3.6242e-02 l1_latent_x4_opt: 8.1984e-01 fft_frequency_x4_opt: 6.1572e-01 aux_downsample_x4_opt: 6.8341e-02 hf_pixel_x4_opt: 3.7238e-02 +2025-11-05 09:10:47,534 INFO: [39..][epoch: 0, step: 34,300, lr:(5.000e-04,)] [eta: 1 day, 6:43:45, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.2501e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 5.1062e-02 hf_pixel_x2_opt: 3.4966e-02 l1_latent_x4_opt: 8.1738e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.3842e-02 hf_pixel_x4_opt: 3.5963e-02 +2025-11-05 09:12:44,959 INFO: [39..][epoch: 0, step: 34,400, lr:(5.000e-04,)] [eta: 1 day, 6:41:31, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1283e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.0812e-02 hf_pixel_x2_opt: 3.2874e-02 l1_latent_x4_opt: 8.1762e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.5744e-02 hf_pixel_x4_opt: 3.5227e-02 +2025-11-05 09:14:42,704 INFO: [39..][epoch: 0, step: 34,500, lr:(5.000e-04,)] [eta: 1 day, 6:39:18, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.2922e-01 fft_frequency_x2_opt: 5.2686e-01 aux_downsample_x2_opt: 5.2672e-02 hf_pixel_x2_opt: 3.6362e-02 l1_latent_x4_opt: 8.2471e-01 fft_frequency_x4_opt: 6.1865e-01 aux_downsample_x4_opt: 6.7277e-02 hf_pixel_x4_opt: 3.7963e-02 +2025-11-05 09:16:39,567 INFO: [39..][epoch: 0, step: 34,600, lr:(5.000e-04,)] [eta: 1 day, 6:37:02, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.1253e-01 fft_frequency_x2_opt: 5.1270e-01 aux_downsample_x2_opt: 5.2597e-02 hf_pixel_x2_opt: 3.5869e-02 l1_latent_x4_opt: 8.2281e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.8417e-02 hf_pixel_x4_opt: 3.8624e-02 +2025-11-05 09:18:36,040 INFO: [39..][epoch: 0, step: 34,700, lr:(5.000e-04,)] [eta: 1 day, 6:34:46, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1598e-01 fft_frequency_x2_opt: 5.1685e-01 aux_downsample_x2_opt: 5.4725e-02 hf_pixel_x2_opt: 3.6696e-02 l1_latent_x4_opt: 8.1323e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.8769e-02 hf_pixel_x4_opt: 3.8788e-02 +2025-11-05 09:20:32,388 INFO: [39..][epoch: 0, step: 34,800, lr:(5.000e-04,)] [eta: 1 day, 6:32:30, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1828e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 5.0590e-02 hf_pixel_x2_opt: 3.3274e-02 l1_latent_x4_opt: 8.0954e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.2616e-02 hf_pixel_x4_opt: 3.4268e-02 +2025-11-05 09:22:28,926 INFO: [39..][epoch: 0, step: 34,900, lr:(5.000e-04,)] [eta: 1 day, 6:30:14, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0317e-01 fft_frequency_x2_opt: 5.1440e-01 aux_downsample_x2_opt: 4.7862e-02 hf_pixel_x2_opt: 3.1111e-02 l1_latent_x4_opt: 7.9534e-01 fft_frequency_x4_opt: 5.9863e-01 aux_downsample_x4_opt: 5.8702e-02 hf_pixel_x4_opt: 3.1546e-02 +2025-11-05 09:24:25,687 INFO: [39..][epoch: 0, step: 35,000, lr:(5.000e-04,)] [eta: 1 day, 6:27:59, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0434e-01 fft_frequency_x2_opt: 5.0391e-01 aux_downsample_x2_opt: 5.2412e-02 hf_pixel_x2_opt: 3.4613e-02 l1_latent_x4_opt: 8.0665e-01 fft_frequency_x4_opt: 5.9961e-01 aux_downsample_x4_opt: 6.6099e-02 hf_pixel_x4_opt: 3.6226e-02 +2025-11-05 09:24:25,688 INFO: Saving models and training states. +2025-11-05 09:26:38,484 INFO: Validation val_x2 + # l1_latent: 0.7638 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.8329 Best: 28.8329 @ 35000 iter + +2025-11-05 09:28:47,122 INFO: Validation val_x4 + # l1_latent: 0.8515 Best: 0.8519 @ 30000 iter + # l2_latent: 1.1931 Best: 1.1941 @ 30000 iter + # pixel_psnr_pt: 26.4066 Best: 26.4066 @ 35000 iter + +2025-11-05 09:30:44,359 INFO: [39..][epoch: 0, step: 35,100, lr:(5.000e-04,)] [eta: 1 day, 6:36:55, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.1276e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 5.7909e-02 hf_pixel_x2_opt: 3.9596e-02 l1_latent_x4_opt: 8.1556e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 7.2181e-02 hf_pixel_x4_opt: 4.0452e-02 +2025-11-05 09:32:40,818 INFO: [39..][epoch: 0, step: 35,200, lr:(5.000e-04,)] [eta: 1 day, 6:34:37, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3256e-01 fft_frequency_x2_opt: 5.3418e-01 aux_downsample_x2_opt: 5.7290e-02 hf_pixel_x2_opt: 3.9302e-02 l1_latent_x4_opt: 8.3766e-01 fft_frequency_x4_opt: 6.2500e-01 aux_downsample_x4_opt: 7.0690e-02 hf_pixel_x4_opt: 4.0903e-02 +2025-11-05 09:34:37,307 INFO: [39..][epoch: 0, step: 35,300, lr:(5.000e-04,)] [eta: 1 day, 6:32:19, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2511e-01 fft_frequency_x2_opt: 5.2368e-01 aux_downsample_x2_opt: 5.2772e-02 hf_pixel_x2_opt: 3.6415e-02 l1_latent_x4_opt: 8.1455e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.5647e-02 hf_pixel_x4_opt: 3.8290e-02 +2025-11-05 09:36:34,385 INFO: [39..][epoch: 0, step: 35,400, lr:(5.000e-04,)] [eta: 1 day, 6:30:02, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1680e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 4.7740e-02 hf_pixel_x2_opt: 3.1883e-02 l1_latent_x4_opt: 8.1435e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.0557e-02 hf_pixel_x4_opt: 3.3022e-02 +2025-11-05 09:38:31,527 INFO: [39..][epoch: 0, step: 35,500, lr:(5.000e-04,)] [eta: 1 day, 6:27:46, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.1102e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 4.9440e-02 hf_pixel_x2_opt: 3.2169e-02 l1_latent_x4_opt: 8.0378e-01 fft_frequency_x4_opt: 5.9717e-01 aux_downsample_x4_opt: 6.2182e-02 hf_pixel_x4_opt: 3.2777e-02 +2025-11-05 09:40:29,457 INFO: [39..][epoch: 0, step: 35,600, lr:(5.000e-04,)] [eta: 1 day, 6:25:32, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1358e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 5.2226e-02 hf_pixel_x2_opt: 3.5848e-02 l1_latent_x4_opt: 8.0276e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.4206e-02 hf_pixel_x4_opt: 3.6640e-02 +2025-11-05 09:42:26,341 INFO: [39..][epoch: 0, step: 35,700, lr:(5.000e-04,)] [eta: 1 day, 6:23:15, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.0809e-01 fft_frequency_x2_opt: 5.1807e-01 aux_downsample_x2_opt: 5.2380e-02 hf_pixel_x2_opt: 3.5023e-02 l1_latent_x4_opt: 8.0909e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.6638e-02 hf_pixel_x4_opt: 3.6834e-02 +2025-11-05 09:44:23,961 INFO: [39..][epoch: 0, step: 35,800, lr:(5.000e-04,)] [eta: 1 day, 6:21:01, time (data): 1.189 (0.000)] l1_latent_x2_opt: 7.0641e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 5.1247e-02 hf_pixel_x2_opt: 3.3868e-02 l1_latent_x4_opt: 8.0701e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.5758e-02 hf_pixel_x4_opt: 3.5495e-02 +2025-11-05 09:46:21,198 INFO: [39..][epoch: 0, step: 35,900, lr:(5.000e-04,)] [eta: 1 day, 6:18:45, time (data): 1.175 (0.000)] l1_latent_x2_opt: 7.1655e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 5.2758e-02 hf_pixel_x2_opt: 3.4956e-02 l1_latent_x4_opt: 8.1514e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.7634e-02 hf_pixel_x4_opt: 3.6979e-02 +2025-11-05 09:48:19,051 INFO: [39..][epoch: 0, step: 36,000, lr:(5.000e-04,)] [eta: 1 day, 6:16:31, time (data): 1.194 (0.000)] l1_latent_x2_opt: 7.1183e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 5.4720e-02 hf_pixel_x2_opt: 3.6376e-02 l1_latent_x4_opt: 8.1143e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.9566e-02 hf_pixel_x4_opt: 3.9196e-02 +2025-11-05 09:50:16,051 INFO: [39..][epoch: 0, step: 36,100, lr:(5.000e-04,)] [eta: 1 day, 6:14:15, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.1970e-01 fft_frequency_x2_opt: 5.2588e-01 aux_downsample_x2_opt: 5.2942e-02 hf_pixel_x2_opt: 3.5536e-02 l1_latent_x4_opt: 8.1218e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.4532e-02 hf_pixel_x4_opt: 3.6495e-02 +2025-11-05 09:52:12,612 INFO: [39..][epoch: 0, step: 36,200, lr:(5.000e-04,)] [eta: 1 day, 6:11:58, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2720e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 4.6527e-02 hf_pixel_x2_opt: 3.1344e-02 l1_latent_x4_opt: 8.2004e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 5.7878e-02 hf_pixel_x4_opt: 3.2495e-02 +2025-11-05 09:54:09,510 INFO: [39..][epoch: 0, step: 36,300, lr:(5.000e-04,)] [eta: 1 day, 6:09:42, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.2050e-01 fft_frequency_x2_opt: 5.2075e-01 aux_downsample_x2_opt: 5.5000e-02 hf_pixel_x2_opt: 3.8057e-02 l1_latent_x4_opt: 8.2094e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.9497e-02 hf_pixel_x4_opt: 4.0313e-02 +2025-11-05 09:56:06,096 INFO: [39..][epoch: 0, step: 36,400, lr:(5.000e-04,)] [eta: 1 day, 6:07:26, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1746e-01 fft_frequency_x2_opt: 5.1074e-01 aux_downsample_x2_opt: 4.1434e-02 hf_pixel_x2_opt: 2.5964e-02 l1_latent_x4_opt: 8.0885e-01 fft_frequency_x4_opt: 5.9277e-01 aux_downsample_x4_opt: 5.3666e-02 hf_pixel_x4_opt: 2.6926e-02 +2025-11-05 09:58:04,167 INFO: [39..][epoch: 0, step: 36,500, lr:(5.000e-04,)] [eta: 1 day, 6:05:13, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.0679e-01 fft_frequency_x2_opt: 5.1001e-01 aux_downsample_x2_opt: 4.6721e-02 hf_pixel_x2_opt: 2.9705e-02 l1_latent_x4_opt: 8.0676e-01 fft_frequency_x4_opt: 5.9766e-01 aux_downsample_x4_opt: 6.0854e-02 hf_pixel_x4_opt: 3.1535e-02 +2025-11-05 10:00:00,558 INFO: [39..][epoch: 0, step: 36,600, lr:(5.000e-04,)] [eta: 1 day, 6:02:56, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2475e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.1662e-02 hf_pixel_x2_opt: 3.5493e-02 l1_latent_x4_opt: 8.2453e-01 fft_frequency_x4_opt: 6.1768e-01 aux_downsample_x4_opt: 6.3614e-02 hf_pixel_x4_opt: 3.6342e-02 +2025-11-05 10:01:57,012 INFO: [39..][epoch: 0, step: 36,700, lr:(5.000e-04,)] [eta: 1 day, 6:00:39, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1805e-01 fft_frequency_x2_opt: 5.2026e-01 aux_downsample_x2_opt: 5.2375e-02 hf_pixel_x2_opt: 3.4531e-02 l1_latent_x4_opt: 8.2373e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.7516e-02 hf_pixel_x4_opt: 3.6300e-02 +2025-11-05 10:03:53,705 INFO: [39..][epoch: 0, step: 36,800, lr:(5.000e-04,)] [eta: 1 day, 5:58:23, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.2717e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 5.2344e-02 hf_pixel_x2_opt: 3.5262e-02 l1_latent_x4_opt: 8.2198e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.5057e-02 hf_pixel_x4_opt: 3.6621e-02 +2025-11-05 10:05:50,883 INFO: [39..][epoch: 0, step: 36,900, lr:(5.000e-04,)] [eta: 1 day, 5:56:09, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.1834e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 4.6664e-02 hf_pixel_x2_opt: 3.0917e-02 l1_latent_x4_opt: 8.1406e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 5.9071e-02 hf_pixel_x4_opt: 3.1919e-02 +2025-11-05 10:07:49,604 INFO: [39..][epoch: 0, step: 37,000, lr:(5.000e-04,)] [eta: 1 day, 5:53:58, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.2389e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 5.5465e-02 hf_pixel_x2_opt: 3.7352e-02 l1_latent_x4_opt: 8.1553e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.8590e-02 hf_pixel_x4_opt: 3.9205e-02 +2025-11-05 10:09:48,635 INFO: [39..][epoch: 0, step: 37,100, lr:(5.000e-04,)] [eta: 1 day, 5:51:48, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.2392e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 6.0249e-02 hf_pixel_x2_opt: 4.2285e-02 l1_latent_x4_opt: 8.2884e-01 fft_frequency_x4_opt: 6.2012e-01 aux_downsample_x4_opt: 7.5163e-02 hf_pixel_x4_opt: 4.4406e-02 +2025-11-05 10:11:46,365 INFO: [39..][epoch: 0, step: 37,200, lr:(5.000e-04,)] [eta: 1 day, 5:49:35, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1924e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 4.6497e-02 hf_pixel_x2_opt: 3.0642e-02 l1_latent_x4_opt: 8.2500e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 5.9079e-02 hf_pixel_x4_opt: 3.0910e-02 +2025-11-05 10:13:43,910 INFO: [39..][epoch: 0, step: 37,300, lr:(5.000e-04,)] [eta: 1 day, 5:47:21, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.2256e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 4.4363e-02 hf_pixel_x2_opt: 2.8567e-02 l1_latent_x4_opt: 8.1927e-01 fft_frequency_x4_opt: 6.0156e-01 aux_downsample_x4_opt: 5.6832e-02 hf_pixel_x4_opt: 2.9871e-02 +2025-11-05 10:15:41,889 INFO: [39..][epoch: 0, step: 37,400, lr:(5.000e-04,)] [eta: 1 day, 5:45:09, time (data): 1.193 (0.000)] l1_latent_x2_opt: 7.3536e-01 fft_frequency_x2_opt: 5.3564e-01 aux_downsample_x2_opt: 5.6746e-02 hf_pixel_x2_opt: 3.8589e-02 l1_latent_x4_opt: 8.2914e-01 fft_frequency_x4_opt: 6.2646e-01 aux_downsample_x4_opt: 6.9888e-02 hf_pixel_x4_opt: 4.0223e-02 +2025-11-05 10:17:41,034 INFO: [39..][epoch: 0, step: 37,500, lr:(5.000e-04,)] [eta: 1 day, 5:42:59, time (data): 1.192 (0.000)] l1_latent_x2_opt: 7.4245e-01 fft_frequency_x2_opt: 5.3516e-01 aux_downsample_x2_opt: 5.4144e-02 hf_pixel_x2_opt: 3.6790e-02 l1_latent_x4_opt: 8.3554e-01 fft_frequency_x4_opt: 6.2549e-01 aux_downsample_x4_opt: 6.8789e-02 hf_pixel_x4_opt: 3.7602e-02 +2025-11-05 10:19:39,549 INFO: [39..][epoch: 0, step: 37,600, lr:(5.000e-04,)] [eta: 1 day, 5:40:48, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.3504e-01 fft_frequency_x2_opt: 5.2783e-01 aux_downsample_x2_opt: 5.4459e-02 hf_pixel_x2_opt: 3.5129e-02 l1_latent_x4_opt: 8.3212e-01 fft_frequency_x4_opt: 6.2012e-01 aux_downsample_x4_opt: 6.7732e-02 hf_pixel_x4_opt: 3.6370e-02 +2025-11-05 10:21:38,937 INFO: [39..][epoch: 0, step: 37,700, lr:(5.000e-04,)] [eta: 1 day, 5:38:39, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.0758e-01 fft_frequency_x2_opt: 5.1709e-01 aux_downsample_x2_opt: 5.2994e-02 hf_pixel_x2_opt: 3.6822e-02 l1_latent_x4_opt: 8.0613e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.5846e-02 hf_pixel_x4_opt: 3.8304e-02 +2025-11-05 10:23:36,486 INFO: [39..][epoch: 0, step: 37,800, lr:(5.000e-04,)] [eta: 1 day, 5:36:26, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0836e-01 fft_frequency_x2_opt: 5.1367e-01 aux_downsample_x2_opt: 4.4842e-02 hf_pixel_x2_opt: 2.9753e-02 l1_latent_x4_opt: 7.9972e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 5.7997e-02 hf_pixel_x4_opt: 3.0365e-02 +2025-11-05 10:25:33,371 INFO: [39..][epoch: 0, step: 37,900, lr:(5.000e-04,)] [eta: 1 day, 5:34:12, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1527e-01 fft_frequency_x2_opt: 5.2075e-01 aux_downsample_x2_opt: 5.5539e-02 hf_pixel_x2_opt: 3.7051e-02 l1_latent_x4_opt: 8.0872e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.8949e-02 hf_pixel_x4_opt: 3.8313e-02 +2025-11-05 10:27:30,157 INFO: [39..][epoch: 0, step: 38,000, lr:(5.000e-04,)] [eta: 1 day, 5:31:57, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.1539e-01 fft_frequency_x2_opt: 5.2075e-01 aux_downsample_x2_opt: 5.1512e-02 hf_pixel_x2_opt: 3.4863e-02 l1_latent_x4_opt: 8.0846e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.4513e-02 hf_pixel_x4_opt: 3.6450e-02 +2025-11-05 10:29:26,585 INFO: [39..][epoch: 0, step: 38,100, lr:(5.000e-04,)] [eta: 1 day, 5:29:42, time (data): 1.164 (0.000)] l1_latent_x2_opt: 6.9355e-01 fft_frequency_x2_opt: 5.0244e-01 aux_downsample_x2_opt: 4.7150e-02 hf_pixel_x2_opt: 3.0559e-02 l1_latent_x4_opt: 7.9819e-01 fft_frequency_x4_opt: 5.8911e-01 aux_downsample_x4_opt: 6.0925e-02 hf_pixel_x4_opt: 3.2058e-02 +2025-11-05 10:31:22,974 INFO: [39..][epoch: 0, step: 38,200, lr:(5.000e-04,)] [eta: 1 day, 5:27:26, time (data): 1.165 (0.001)] l1_latent_x2_opt: 7.0902e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 5.3020e-02 hf_pixel_x2_opt: 3.5372e-02 l1_latent_x4_opt: 8.1407e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.8175e-02 hf_pixel_x4_opt: 3.7505e-02 +2025-11-05 10:33:19,390 INFO: [39..][epoch: 0, step: 38,300, lr:(5.000e-04,)] [eta: 1 day, 5:25:11, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1024e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 5.4715e-02 hf_pixel_x2_opt: 3.7883e-02 l1_latent_x4_opt: 8.0343e-01 fft_frequency_x4_opt: 6.0010e-01 aux_downsample_x4_opt: 6.6195e-02 hf_pixel_x4_opt: 3.8002e-02 +2025-11-05 10:35:15,701 INFO: [39..][epoch: 0, step: 38,400, lr:(5.000e-04,)] [eta: 1 day, 5:22:56, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1700e-01 fft_frequency_x2_opt: 5.2319e-01 aux_downsample_x2_opt: 5.0716e-02 hf_pixel_x2_opt: 3.3865e-02 l1_latent_x4_opt: 8.1867e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 6.2490e-02 hf_pixel_x4_opt: 3.5025e-02 +2025-11-05 10:37:12,053 INFO: [39..][epoch: 0, step: 38,500, lr:(5.000e-04,)] [eta: 1 day, 5:20:41, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.1516e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.2367e-02 hf_pixel_x2_opt: 3.4614e-02 l1_latent_x4_opt: 8.1388e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.6276e-02 hf_pixel_x4_opt: 3.6027e-02 +2025-11-05 10:39:08,507 INFO: [39..][epoch: 0, step: 38,600, lr:(5.000e-04,)] [eta: 1 day, 5:18:26, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0140e-01 fft_frequency_x2_opt: 5.1514e-01 aux_downsample_x2_opt: 4.6661e-02 hf_pixel_x2_opt: 2.9849e-02 l1_latent_x4_opt: 8.0069e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 5.9479e-02 hf_pixel_x4_opt: 3.1264e-02 +2025-11-05 10:41:04,792 INFO: [39..][epoch: 0, step: 38,700, lr:(5.000e-04,)] [eta: 1 day, 5:16:11, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2063e-01 fft_frequency_x2_opt: 5.1489e-01 aux_downsample_x2_opt: 5.9026e-02 hf_pixel_x2_opt: 3.9161e-02 l1_latent_x4_opt: 8.2411e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 7.2431e-02 hf_pixel_x4_opt: 3.9990e-02 +2025-11-05 10:43:01,033 INFO: [39..][epoch: 0, step: 38,800, lr:(5.000e-04,)] [eta: 1 day, 5:13:56, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.1248e-01 fft_frequency_x2_opt: 5.1367e-01 aux_downsample_x2_opt: 4.3119e-02 hf_pixel_x2_opt: 2.7263e-02 l1_latent_x4_opt: 8.0472e-01 fft_frequency_x4_opt: 6.0010e-01 aux_downsample_x4_opt: 5.6253e-02 hf_pixel_x4_opt: 2.8733e-02 +2025-11-05 10:44:57,500 INFO: [39..][epoch: 0, step: 38,900, lr:(5.000e-04,)] [eta: 1 day, 5:11:41, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0334e-01 fft_frequency_x2_opt: 5.0854e-01 aux_downsample_x2_opt: 4.7127e-02 hf_pixel_x2_opt: 3.2173e-02 l1_latent_x4_opt: 7.9801e-01 fft_frequency_x4_opt: 5.9619e-01 aux_downsample_x4_opt: 5.9665e-02 hf_pixel_x4_opt: 3.3747e-02 +2025-11-05 10:46:54,278 INFO: [39..][epoch: 0, step: 39,000, lr:(5.000e-04,)] [eta: 1 day, 5:09:27, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2225e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 5.2828e-02 hf_pixel_x2_opt: 3.4740e-02 l1_latent_x4_opt: 8.2027e-01 fft_frequency_x4_opt: 6.1572e-01 aux_downsample_x4_opt: 6.6575e-02 hf_pixel_x4_opt: 3.5954e-02 +2025-11-05 10:48:50,810 INFO: [39..][epoch: 0, step: 39,100, lr:(5.000e-04,)] [eta: 1 day, 5:07:13, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1655e-01 fft_frequency_x2_opt: 5.2100e-01 aux_downsample_x2_opt: 5.0819e-02 hf_pixel_x2_opt: 3.3882e-02 l1_latent_x4_opt: 8.1081e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.1880e-02 hf_pixel_x4_opt: 3.4700e-02 +2025-11-05 10:50:49,328 INFO: [39..][epoch: 0, step: 39,200, lr:(5.000e-04,)] [eta: 1 day, 5:05:03, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.2001e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 5.3815e-02 hf_pixel_x2_opt: 3.5138e-02 l1_latent_x4_opt: 8.0556e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 6.6766e-02 hf_pixel_x4_opt: 3.6735e-02 +2025-11-05 10:52:47,650 INFO: [39..][epoch: 0, step: 39,300, lr:(5.000e-04,)] [eta: 1 day, 5:02:53, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.1031e-01 fft_frequency_x2_opt: 5.1221e-01 aux_downsample_x2_opt: 5.1407e-02 hf_pixel_x2_opt: 3.4775e-02 l1_latent_x4_opt: 8.1674e-01 fft_frequency_x4_opt: 6.0156e-01 aux_downsample_x4_opt: 6.5093e-02 hf_pixel_x4_opt: 3.6709e-02 +2025-11-05 10:54:44,372 INFO: [39..][epoch: 0, step: 39,400, lr:(5.000e-04,)] [eta: 1 day, 5:00:40, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2061e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 4.6808e-02 hf_pixel_x2_opt: 3.1729e-02 l1_latent_x4_opt: 8.1104e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 5.8194e-02 hf_pixel_x4_opt: 3.2497e-02 +2025-11-05 10:56:40,740 INFO: [39..][epoch: 0, step: 39,500, lr:(5.000e-04,)] [eta: 1 day, 4:58:25, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.3628e-01 fft_frequency_x2_opt: 5.3760e-01 aux_downsample_x2_opt: 4.9584e-02 hf_pixel_x2_opt: 3.2171e-02 l1_latent_x4_opt: 8.2909e-01 fft_frequency_x4_opt: 6.2793e-01 aux_downsample_x4_opt: 6.3718e-02 hf_pixel_x4_opt: 3.3673e-02 +2025-11-05 10:58:39,813 INFO: [39..][epoch: 0, step: 39,600, lr:(5.000e-04,)] [eta: 1 day, 4:56:17, time (data): 1.196 (0.000)] l1_latent_x2_opt: 6.9939e-01 fft_frequency_x2_opt: 5.1245e-01 aux_downsample_x2_opt: 4.9971e-02 hf_pixel_x2_opt: 3.2259e-02 l1_latent_x4_opt: 7.9915e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 6.3652e-02 hf_pixel_x4_opt: 3.4772e-02 +2025-11-05 11:00:39,543 INFO: [39..][epoch: 0, step: 39,700, lr:(5.000e-04,)] [eta: 1 day, 4:54:10, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.3171e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 5.3847e-02 hf_pixel_x2_opt: 3.6086e-02 l1_latent_x4_opt: 8.1797e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.7424e-02 hf_pixel_x4_opt: 3.8743e-02 +2025-11-05 11:02:36,739 INFO: [39..][epoch: 0, step: 39,800, lr:(5.000e-04,)] [eta: 1 day, 4:51:58, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.0535e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 4.7790e-02 hf_pixel_x2_opt: 3.1306e-02 l1_latent_x4_opt: 8.0667e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.0479e-02 hf_pixel_x4_opt: 3.2622e-02 +2025-11-05 11:04:35,641 INFO: [39..][epoch: 0, step: 39,900, lr:(5.000e-04,)] [eta: 1 day, 4:49:50, time (data): 1.188 (0.000)] l1_latent_x2_opt: 7.1139e-01 fft_frequency_x2_opt: 5.1978e-01 aux_downsample_x2_opt: 4.6902e-02 hf_pixel_x2_opt: 3.0992e-02 l1_latent_x4_opt: 8.0484e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 5.8476e-02 hf_pixel_x4_opt: 3.2026e-02 +2025-11-05 11:06:32,410 INFO: [39..][epoch: 0, step: 40,000, lr:(5.000e-04,)] [eta: 1 day, 4:47:37, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0584e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 5.3621e-02 hf_pixel_x2_opt: 3.6876e-02 l1_latent_x4_opt: 8.0650e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.7799e-02 hf_pixel_x4_opt: 3.8578e-02 +2025-11-05 11:06:32,411 INFO: Saving models and training states. +2025-11-05 11:08:51,075 INFO: Validation val_x2 + # l1_latent: 0.7626 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.8371 Best: 28.8371 @ 40000 iter + +2025-11-05 11:10:52,770 INFO: Validation val_x4 + # l1_latent: 0.8515 Best: 0.8519 @ 30000 iter + # l2_latent: 1.1930 Best: 1.1941 @ 30000 iter + # pixel_psnr_pt: 26.4041 Best: 26.4066 @ 35000 iter + +2025-11-05 11:12:49,620 INFO: [39..][epoch: 0, step: 40,100, lr:(5.000e-04,)] [eta: 1 day, 4:54:35, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1742e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 5.1822e-02 hf_pixel_x2_opt: 3.4695e-02 l1_latent_x4_opt: 8.3260e-01 fft_frequency_x4_opt: 6.1572e-01 aux_downsample_x4_opt: 6.6438e-02 hf_pixel_x4_opt: 3.6680e-02 +2025-11-05 11:14:46,337 INFO: [39..][epoch: 0, step: 40,200, lr:(5.000e-04,)] [eta: 1 day, 4:52:20, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.0238e-01 fft_frequency_x2_opt: 5.1392e-01 aux_downsample_x2_opt: 4.5783e-02 hf_pixel_x2_opt: 3.0318e-02 l1_latent_x4_opt: 7.9901e-01 fft_frequency_x4_opt: 5.9961e-01 aux_downsample_x4_opt: 5.7323e-02 hf_pixel_x4_opt: 3.1201e-02 +2025-11-05 11:16:43,103 INFO: [39..][epoch: 0, step: 40,300, lr:(5.000e-04,)] [eta: 1 day, 4:50:05, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.2778e-01 fft_frequency_x2_opt: 5.2637e-01 aux_downsample_x2_opt: 5.3690e-02 hf_pixel_x2_opt: 3.5832e-02 l1_latent_x4_opt: 8.1997e-01 fft_frequency_x4_opt: 6.1963e-01 aux_downsample_x4_opt: 6.8834e-02 hf_pixel_x4_opt: 3.7473e-02 +2025-11-05 11:18:39,931 INFO: [39..][epoch: 0, step: 40,400, lr:(5.000e-04,)] [eta: 1 day, 4:47:51, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1547e-01 fft_frequency_x2_opt: 5.1978e-01 aux_downsample_x2_opt: 5.5322e-02 hf_pixel_x2_opt: 3.6516e-02 l1_latent_x4_opt: 8.1699e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.9916e-02 hf_pixel_x4_opt: 3.8054e-02 +2025-11-05 11:20:38,461 INFO: [39..][epoch: 0, step: 40,500, lr:(5.000e-04,)] [eta: 1 day, 4:45:40, time (data): 1.185 (0.000)] l1_latent_x2_opt: 7.0220e-01 fft_frequency_x2_opt: 5.1294e-01 aux_downsample_x2_opt: 4.9182e-02 hf_pixel_x2_opt: 3.2829e-02 l1_latent_x4_opt: 7.9801e-01 fft_frequency_x4_opt: 6.0449e-01 aux_downsample_x4_opt: 6.3671e-02 hf_pixel_x4_opt: 3.4460e-02 +2025-11-05 11:22:35,382 INFO: [39..][epoch: 0, step: 40,600, lr:(5.000e-04,)] [eta: 1 day, 4:43:26, time (data): 1.177 (0.000)] l1_latent_x2_opt: 7.0842e-01 fft_frequency_x2_opt: 5.1782e-01 aux_downsample_x2_opt: 4.6029e-02 hf_pixel_x2_opt: 3.1331e-02 l1_latent_x4_opt: 8.0333e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 5.6976e-02 hf_pixel_x4_opt: 3.1897e-02 +2025-11-05 11:24:33,174 INFO: [39..][epoch: 0, step: 40,700, lr:(5.000e-04,)] [eta: 1 day, 4:41:13, time (data): 1.178 (0.000)] l1_latent_x2_opt: 7.2085e-01 fft_frequency_x2_opt: 5.2466e-01 aux_downsample_x2_opt: 4.9590e-02 hf_pixel_x2_opt: 3.2271e-02 l1_latent_x4_opt: 8.1627e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.2237e-02 hf_pixel_x4_opt: 3.3708e-02 +2025-11-05 11:26:29,785 INFO: [39..][epoch: 0, step: 40,800, lr:(5.000e-04,)] [eta: 1 day, 4:38:59, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.1883e-01 fft_frequency_x2_opt: 5.2197e-01 aux_downsample_x2_opt: 5.2838e-02 hf_pixel_x2_opt: 3.4148e-02 l1_latent_x4_opt: 8.1002e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.5329e-02 hf_pixel_x4_opt: 3.5517e-02 +2025-11-05 11:28:26,304 INFO: [39..][epoch: 0, step: 40,900, lr:(5.000e-04,)] [eta: 1 day, 4:36:44, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1019e-01 fft_frequency_x2_opt: 5.1221e-01 aux_downsample_x2_opt: 5.0024e-02 hf_pixel_x2_opt: 3.2678e-02 l1_latent_x4_opt: 8.1282e-01 fft_frequency_x4_opt: 6.0645e-01 aux_downsample_x4_opt: 6.4897e-02 hf_pixel_x4_opt: 3.4205e-02 +2025-11-05 11:30:23,516 INFO: [39..][epoch: 0, step: 41,000, lr:(5.000e-04,)] [eta: 1 day, 4:34:31, time (data): 1.169 (0.000)] l1_latent_x2_opt: 7.0087e-01 fft_frequency_x2_opt: 5.0977e-01 aux_downsample_x2_opt: 5.1388e-02 hf_pixel_x2_opt: 3.4212e-02 l1_latent_x4_opt: 8.0282e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.4969e-02 hf_pixel_x4_opt: 3.5381e-02 +2025-11-05 11:32:23,230 INFO: [39..][epoch: 0, step: 41,100, lr:(5.000e-04,)] [eta: 1 day, 4:32:22, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.0041e-01 fft_frequency_x2_opt: 5.0903e-01 aux_downsample_x2_opt: 4.7968e-02 hf_pixel_x2_opt: 3.1805e-02 l1_latent_x4_opt: 7.9612e-01 fft_frequency_x4_opt: 5.9619e-01 aux_downsample_x4_opt: 6.0549e-02 hf_pixel_x4_opt: 3.2871e-02 +2025-11-05 11:34:19,631 INFO: [39..][epoch: 0, step: 41,200, lr:(5.000e-04,)] [eta: 1 day, 4:30:08, time (data): 1.180 (0.000)] l1_latent_x2_opt: 7.0112e-01 fft_frequency_x2_opt: 5.1270e-01 aux_downsample_x2_opt: 4.8716e-02 hf_pixel_x2_opt: 3.3097e-02 l1_latent_x4_opt: 7.9032e-01 fft_frequency_x4_opt: 6.0010e-01 aux_downsample_x4_opt: 5.9963e-02 hf_pixel_x4_opt: 3.3515e-02 +2025-11-05 11:36:16,912 INFO: [39..][epoch: 0, step: 41,300, lr:(5.000e-04,)] [eta: 1 day, 4:27:55, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.1348e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 5.4316e-02 hf_pixel_x2_opt: 3.5648e-02 l1_latent_x4_opt: 8.0862e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.9118e-02 hf_pixel_x4_opt: 3.8387e-02 +2025-11-05 11:38:13,607 INFO: [39..][epoch: 0, step: 41,400, lr:(5.000e-04,)] [eta: 1 day, 4:25:41, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.1234e-01 fft_frequency_x2_opt: 5.1538e-01 aux_downsample_x2_opt: 5.0558e-02 hf_pixel_x2_opt: 3.3247e-02 l1_latent_x4_opt: 8.0940e-01 fft_frequency_x4_opt: 6.0205e-01 aux_downsample_x4_opt: 6.4568e-02 hf_pixel_x4_opt: 3.5868e-02 +2025-11-05 11:40:11,254 INFO: [39..][epoch: 0, step: 41,500, lr:(5.000e-04,)] [eta: 1 day, 4:23:29, time (data): 1.177 (0.000)] l1_latent_x2_opt: 7.3410e-01 fft_frequency_x2_opt: 5.2490e-01 aux_downsample_x2_opt: 5.4811e-02 hf_pixel_x2_opt: 3.6463e-02 l1_latent_x4_opt: 8.2335e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.8321e-02 hf_pixel_x4_opt: 3.8013e-02 +2025-11-05 11:42:07,907 INFO: [39..][epoch: 0, step: 41,600, lr:(5.000e-04,)] [eta: 1 day, 4:21:15, time (data): 1.172 (0.000)] l1_latent_x2_opt: 7.1223e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 5.1555e-02 hf_pixel_x2_opt: 3.4492e-02 l1_latent_x4_opt: 8.0482e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 6.3657e-02 hf_pixel_x4_opt: 3.5174e-02 +2025-11-05 11:44:08,562 INFO: [39..][epoch: 0, step: 41,700, lr:(5.000e-04,)] [eta: 1 day, 4:19:09, time (data): 1.209 (0.000)] l1_latent_x2_opt: 7.2141e-01 fft_frequency_x2_opt: 5.2417e-01 aux_downsample_x2_opt: 5.4481e-02 hf_pixel_x2_opt: 3.6512e-02 l1_latent_x4_opt: 8.1576e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.5578e-02 hf_pixel_x4_opt: 3.7026e-02 +2025-11-05 11:46:07,481 INFO: [39..][epoch: 0, step: 41,800, lr:(5.000e-04,)] [eta: 1 day, 4:17:00, time (data): 1.199 (0.000)] l1_latent_x2_opt: 6.9739e-01 fft_frequency_x2_opt: 5.0366e-01 aux_downsample_x2_opt: 4.2246e-02 hf_pixel_x2_opt: 2.6946e-02 l1_latent_x4_opt: 7.9022e-01 fft_frequency_x4_opt: 5.9033e-01 aux_downsample_x4_opt: 5.3863e-02 hf_pixel_x4_opt: 2.8071e-02 +2025-11-05 11:48:04,405 INFO: [39..][epoch: 0, step: 41,900, lr:(5.000e-04,)] [eta: 1 day, 4:14:46, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.2561e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 4.9489e-02 hf_pixel_x2_opt: 3.2975e-02 l1_latent_x4_opt: 8.1751e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.3617e-02 hf_pixel_x4_opt: 3.4853e-02 +2025-11-05 11:50:03,414 INFO: [39..][epoch: 0, step: 42,000, lr:(5.000e-04,)] [eta: 1 day, 4:12:37, time (data): 1.180 (0.000)] l1_latent_x2_opt: 7.0614e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 5.1769e-02 hf_pixel_x2_opt: 3.4902e-02 l1_latent_x4_opt: 8.0376e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.3873e-02 hf_pixel_x4_opt: 3.5923e-02 +2025-11-05 11:52:00,945 INFO: [39..][epoch: 0, step: 42,100, lr:(5.000e-04,)] [eta: 1 day, 4:10:26, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.0422e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 5.3760e-02 hf_pixel_x2_opt: 3.4700e-02 l1_latent_x4_opt: 8.1201e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 7.0931e-02 hf_pixel_x4_opt: 3.8219e-02 +2025-11-05 11:54:02,242 INFO: [39..][epoch: 0, step: 42,200, lr:(5.000e-04,)] [eta: 1 day, 4:08:21, time (data): 1.196 (0.000)] l1_latent_x2_opt: 7.1431e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.0352e-02 hf_pixel_x2_opt: 3.4200e-02 l1_latent_x4_opt: 8.0575e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 6.2827e-02 hf_pixel_x4_opt: 3.5529e-02 +2025-11-05 11:56:01,610 INFO: [39..][epoch: 0, step: 42,300, lr:(5.000e-04,)] [eta: 1 day, 4:06:13, time (data): 1.191 (0.000)] l1_latent_x2_opt: 7.1117e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 5.5552e-02 hf_pixel_x2_opt: 3.5189e-02 l1_latent_x4_opt: 8.1768e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 7.1194e-02 hf_pixel_x4_opt: 3.7714e-02 +2025-11-05 11:58:01,500 INFO: [39..][epoch: 0, step: 42,400, lr:(5.000e-04,)] [eta: 1 day, 4:04:06, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.0553e-01 fft_frequency_x2_opt: 5.0879e-01 aux_downsample_x2_opt: 5.1017e-02 hf_pixel_x2_opt: 3.4762e-02 l1_latent_x4_opt: 7.9803e-01 fft_frequency_x4_opt: 5.9521e-01 aux_downsample_x4_opt: 6.3262e-02 hf_pixel_x4_opt: 3.5817e-02 +2025-11-05 11:59:58,991 INFO: [39..][epoch: 0, step: 42,500, lr:(5.000e-04,)] [eta: 1 day, 4:01:54, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.1486e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 4.8306e-02 hf_pixel_x2_opt: 3.1534e-02 l1_latent_x4_opt: 8.0976e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.1817e-02 hf_pixel_x4_opt: 3.3287e-02 +2025-11-05 12:01:56,872 INFO: [39..][epoch: 0, step: 42,600, lr:(5.000e-04,)] [eta: 1 day, 3:59:43, time (data): 1.176 (0.000)] l1_latent_x2_opt: 7.2416e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.3370e-02 hf_pixel_x2_opt: 3.5877e-02 l1_latent_x4_opt: 8.2175e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.6338e-02 hf_pixel_x4_opt: 3.7509e-02 +2025-11-05 12:03:56,381 INFO: [39..][epoch: 0, step: 42,700, lr:(5.000e-04,)] [eta: 1 day, 3:57:36, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.2704e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 4.9058e-02 hf_pixel_x2_opt: 3.3849e-02 l1_latent_x4_opt: 8.1358e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 5.9869e-02 hf_pixel_x4_opt: 3.4716e-02 +2025-11-05 12:05:53,070 INFO: [39..][epoch: 0, step: 42,800, lr:(5.000e-04,)] [eta: 1 day, 3:55:22, time (data): 1.180 (0.000)] l1_latent_x2_opt: 6.9463e-01 fft_frequency_x2_opt: 5.1099e-01 aux_downsample_x2_opt: 4.8027e-02 hf_pixel_x2_opt: 3.1909e-02 l1_latent_x4_opt: 7.9277e-01 fft_frequency_x4_opt: 6.0449e-01 aux_downsample_x4_opt: 6.1128e-02 hf_pixel_x4_opt: 3.3335e-02 +2025-11-05 12:07:52,833 INFO: [39..][epoch: 0, step: 42,900, lr:(5.000e-04,)] [eta: 1 day, 3:53:15, time (data): 1.195 (0.000)] l1_latent_x2_opt: 7.1248e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 5.0611e-02 hf_pixel_x2_opt: 3.4131e-02 l1_latent_x4_opt: 8.0702e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.1199e-02 hf_pixel_x4_opt: 3.5835e-02 +2025-11-05 12:09:49,715 INFO: [39..][epoch: 0, step: 43,000, lr:(5.000e-04,)] [eta: 1 day, 3:51:03, time (data): 1.181 (0.000)] l1_latent_x2_opt: 7.1937e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 4.8196e-02 hf_pixel_x2_opt: 3.3256e-02 l1_latent_x4_opt: 8.1890e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 5.8846e-02 hf_pixel_x4_opt: 3.3178e-02 +2025-11-05 12:11:46,428 INFO: [39..][epoch: 0, step: 43,100, lr:(5.000e-04,)] [eta: 1 day, 3:48:50, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0911e-01 fft_frequency_x2_opt: 5.0952e-01 aux_downsample_x2_opt: 5.0433e-02 hf_pixel_x2_opt: 3.3305e-02 l1_latent_x4_opt: 8.1254e-01 fft_frequency_x4_opt: 6.0205e-01 aux_downsample_x4_opt: 6.4562e-02 hf_pixel_x4_opt: 3.5273e-02 +2025-11-05 12:13:44,134 INFO: [39..][epoch: 0, step: 43,200, lr:(5.000e-04,)] [eta: 1 day, 3:46:39, time (data): 1.173 (0.000)] l1_latent_x2_opt: 7.1277e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 4.4730e-02 hf_pixel_x2_opt: 2.9716e-02 l1_latent_x4_opt: 8.0735e-01 fft_frequency_x4_opt: 6.0303e-01 aux_downsample_x4_opt: 5.8098e-02 hf_pixel_x4_opt: 3.1504e-02 +2025-11-05 12:15:43,299 INFO: [39..][epoch: 0, step: 43,300, lr:(5.000e-04,)] [eta: 1 day, 3:44:31, time (data): 1.184 (0.000)] l1_latent_x2_opt: 7.0512e-01 fft_frequency_x2_opt: 5.1050e-01 aux_downsample_x2_opt: 5.1156e-02 hf_pixel_x2_opt: 3.5344e-02 l1_latent_x4_opt: 8.0046e-01 fft_frequency_x4_opt: 5.9766e-01 aux_downsample_x4_opt: 6.3317e-02 hf_pixel_x4_opt: 3.6360e-02 +2025-11-05 12:17:39,886 INFO: [39..][epoch: 0, step: 43,400, lr:(5.000e-04,)] [eta: 1 day, 3:42:18, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.0990e-01 fft_frequency_x2_opt: 5.0903e-01 aux_downsample_x2_opt: 5.6246e-02 hf_pixel_x2_opt: 4.0052e-02 l1_latent_x4_opt: 8.0632e-01 fft_frequency_x4_opt: 5.9570e-01 aux_downsample_x4_opt: 6.9291e-02 hf_pixel_x4_opt: 4.0855e-02 +2025-11-05 12:19:36,418 INFO: [39..][epoch: 0, step: 43,500, lr:(5.000e-04,)] [eta: 1 day, 3:40:05, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0790e-01 fft_frequency_x2_opt: 5.1147e-01 aux_downsample_x2_opt: 5.3674e-02 hf_pixel_x2_opt: 3.4894e-02 l1_latent_x4_opt: 8.0500e-01 fft_frequency_x4_opt: 5.9717e-01 aux_downsample_x4_opt: 6.6374e-02 hf_pixel_x4_opt: 3.5116e-02 +2025-11-05 12:21:33,484 INFO: [39..][epoch: 0, step: 43,600, lr:(5.000e-04,)] [eta: 1 day, 3:37:53, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1537e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 5.3226e-02 hf_pixel_x2_opt: 3.5419e-02 l1_latent_x4_opt: 8.0933e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 6.5862e-02 hf_pixel_x4_opt: 3.6917e-02 +2025-11-05 12:23:30,074 INFO: [39..][epoch: 0, step: 43,700, lr:(5.000e-04,)] [eta: 1 day, 3:35:41, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.0950e-01 fft_frequency_x2_opt: 5.1978e-01 aux_downsample_x2_opt: 4.9128e-02 hf_pixel_x2_opt: 3.2611e-02 l1_latent_x4_opt: 8.1324e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.1045e-02 hf_pixel_x4_opt: 3.3796e-02 +2025-11-05 12:25:26,582 INFO: [39..][epoch: 0, step: 43,800, lr:(5.000e-04,)] [eta: 1 day, 3:33:28, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.1108e-01 fft_frequency_x2_opt: 5.1807e-01 aux_downsample_x2_opt: 5.1572e-02 hf_pixel_x2_opt: 3.4421e-02 l1_latent_x4_opt: 8.1560e-01 fft_frequency_x4_opt: 6.0889e-01 aux_downsample_x4_opt: 6.5043e-02 hf_pixel_x4_opt: 3.5567e-02 +2025-11-05 12:27:23,257 INFO: [39..][epoch: 0, step: 43,900, lr:(5.000e-04,)] [eta: 1 day, 3:31:16, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.1987e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 5.0426e-02 hf_pixel_x2_opt: 3.4192e-02 l1_latent_x4_opt: 8.2070e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.2201e-02 hf_pixel_x4_opt: 3.5695e-02 +2025-11-05 12:29:19,891 INFO: [39..][epoch: 0, step: 44,000, lr:(5.000e-04,)] [eta: 1 day, 3:29:03, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0715e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 4.9166e-02 hf_pixel_x2_opt: 3.3657e-02 l1_latent_x4_opt: 8.0165e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.1721e-02 hf_pixel_x4_opt: 3.5576e-02 +2025-11-05 12:31:16,368 INFO: [39..][epoch: 0, step: 44,100, lr:(5.000e-04,)] [eta: 1 day, 3:26:51, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1836e-01 fft_frequency_x2_opt: 5.1416e-01 aux_downsample_x2_opt: 4.5366e-02 hf_pixel_x2_opt: 3.0836e-02 l1_latent_x4_opt: 8.1234e-01 fft_frequency_x4_opt: 6.0156e-01 aux_downsample_x4_opt: 5.8859e-02 hf_pixel_x4_opt: 3.2792e-02 +2025-11-05 12:33:12,783 INFO: [39..][epoch: 0, step: 44,200, lr:(5.000e-04,)] [eta: 1 day, 3:24:38, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.2561e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 4.6029e-02 hf_pixel_x2_opt: 2.9051e-02 l1_latent_x4_opt: 8.1940e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 5.9864e-02 hf_pixel_x4_opt: 3.1454e-02 +2025-11-05 12:35:09,705 INFO: [39..][epoch: 0, step: 44,300, lr:(5.000e-04,)] [eta: 1 day, 3:22:26, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.1231e-01 fft_frequency_x2_opt: 5.1221e-01 aux_downsample_x2_opt: 4.7672e-02 hf_pixel_x2_opt: 3.0865e-02 l1_latent_x4_opt: 7.9756e-01 fft_frequency_x4_opt: 5.9912e-01 aux_downsample_x4_opt: 5.9498e-02 hf_pixel_x4_opt: 3.1267e-02 +2025-11-05 12:37:06,408 INFO: [39..][epoch: 0, step: 44,400, lr:(5.000e-04,)] [eta: 1 day, 3:20:14, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1364e-01 fft_frequency_x2_opt: 5.1562e-01 aux_downsample_x2_opt: 5.9802e-02 hf_pixel_x2_opt: 4.0323e-02 l1_latent_x4_opt: 8.1258e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 7.3950e-02 hf_pixel_x4_opt: 4.2278e-02 +2025-11-05 12:39:02,622 INFO: [39..][epoch: 0, step: 44,500, lr:(5.000e-04,)] [eta: 1 day, 3:18:02, time (data): 1.162 (0.000)] l1_latent_x2_opt: 7.2021e-01 fft_frequency_x2_opt: 5.1880e-01 aux_downsample_x2_opt: 4.8750e-02 hf_pixel_x2_opt: 3.1918e-02 l1_latent_x4_opt: 8.2168e-01 fft_frequency_x4_opt: 6.0742e-01 aux_downsample_x4_opt: 6.2253e-02 hf_pixel_x4_opt: 3.3519e-02 +2025-11-05 12:40:58,917 INFO: [39..][epoch: 0, step: 44,600, lr:(5.000e-04,)] [eta: 1 day, 3:15:49, time (data): 1.163 (0.000)] l1_latent_x2_opt: 7.2646e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 4.7156e-02 hf_pixel_x2_opt: 3.1153e-02 l1_latent_x4_opt: 8.2490e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 5.8644e-02 hf_pixel_x4_opt: 3.2089e-02 +2025-11-05 12:42:55,427 INFO: [39..][epoch: 0, step: 44,700, lr:(5.000e-04,)] [eta: 1 day, 3:13:37, time (data): 1.166 (0.000)] l1_latent_x2_opt: 7.2049e-01 fft_frequency_x2_opt: 5.2637e-01 aux_downsample_x2_opt: 5.3919e-02 hf_pixel_x2_opt: 3.6141e-02 l1_latent_x4_opt: 8.2620e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.6574e-02 hf_pixel_x4_opt: 3.7003e-02 +2025-11-05 12:44:57,637 INFO: [39..][epoch: 0, step: 44,800, lr:(5.000e-04,)] [eta: 1 day, 3:11:35, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.1113e-01 fft_frequency_x2_opt: 5.1660e-01 aux_downsample_x2_opt: 5.2207e-02 hf_pixel_x2_opt: 3.4212e-02 l1_latent_x4_opt: 8.0976e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.7023e-02 hf_pixel_x4_opt: 3.7210e-02 +2025-11-05 12:46:54,013 INFO: [39..][epoch: 0, step: 44,900, lr:(5.000e-04,)] [eta: 1 day, 3:09:23, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0223e-01 fft_frequency_x2_opt: 5.1025e-01 aux_downsample_x2_opt: 4.6194e-02 hf_pixel_x2_opt: 2.9595e-02 l1_latent_x4_opt: 7.9872e-01 fft_frequency_x4_opt: 5.9912e-01 aux_downsample_x4_opt: 6.1336e-02 hf_pixel_x4_opt: 3.2064e-02 +2025-11-05 12:48:50,437 INFO: [39..][epoch: 0, step: 45,000, lr:(5.000e-04,)] [eta: 1 day, 3:07:11, time (data): 1.164 (0.000)] l1_latent_x2_opt: 7.0916e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 5.2124e-02 hf_pixel_x2_opt: 3.4603e-02 l1_latent_x4_opt: 8.0476e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.4804e-02 hf_pixel_x4_opt: 3.5703e-02 +2025-11-05 12:48:50,438 INFO: Saving models and training states. +2025-11-05 12:51:06,007 INFO: Validation val_x2 + # l1_latent: 0.7634 Best: 0.7663 @ 5000 iter + # pixel_psnr_pt: 28.8429 Best: 28.8429 @ 45000 iter + +2025-11-05 12:53:15,352 INFO: Validation val_x4 + # l1_latent: 0.8529 Best: 0.8529 @ 45000 iter + # l2_latent: 1.1969 Best: 1.1969 @ 45000 iter + # pixel_psnr_pt: 26.4043 Best: 26.4066 @ 35000 iter + +2025-11-05 12:55:12,095 INFO: [39..][epoch: 0, step: 45,100, lr:(5.000e-04,)] [eta: 1 day, 3:12:49, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0574e-01 fft_frequency_x2_opt: 5.0977e-01 aux_downsample_x2_opt: 5.5048e-02 hf_pixel_x2_opt: 3.7009e-02 l1_latent_x4_opt: 7.9565e-01 fft_frequency_x4_opt: 5.9766e-01 aux_downsample_x4_opt: 6.6631e-02 hf_pixel_x4_opt: 3.7861e-02 +2025-11-05 12:57:08,768 INFO: [39..][epoch: 0, step: 45,200, lr:(5.000e-04,)] [eta: 1 day, 3:10:36, time (data): 1.167 (0.000)] l1_latent_x2_opt: 7.0441e-01 fft_frequency_x2_opt: 5.1294e-01 aux_downsample_x2_opt: 5.2832e-02 hf_pixel_x2_opt: 3.3841e-02 l1_latent_x4_opt: 8.0745e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.8846e-02 hf_pixel_x4_opt: 3.6952e-02 +2025-11-05 12:59:08,310 INFO: [39..][epoch: 0, step: 45,300, lr:(5.000e-04,)] [eta: 1 day, 3:08:28, time (data): 1.205 (0.000)] l1_latent_x2_opt: 6.8291e-01 fft_frequency_x2_opt: 5.0317e-01 aux_downsample_x2_opt: 4.9279e-02 hf_pixel_x2_opt: 3.3173e-02 l1_latent_x4_opt: 7.8334e-01 fft_frequency_x4_opt: 5.9180e-01 aux_downsample_x4_opt: 6.0790e-02 hf_pixel_x4_opt: 3.3877e-02 +2025-11-05 13:01:07,337 INFO: [39..][epoch: 0, step: 45,400, lr:(5.000e-04,)] [eta: 1 day, 3:06:19, time (data): 1.197 (0.000)] l1_latent_x2_opt: 7.2866e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 4.2613e-02 hf_pixel_x2_opt: 2.7389e-02 l1_latent_x4_opt: 8.2923e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 5.5164e-02 hf_pixel_x4_opt: 2.8446e-02 +2025-11-05 13:03:05,215 INFO: [39..][epoch: 0, step: 45,500, lr:(5.000e-04,)] [eta: 1 day, 3:04:08, time (data): 1.181 (0.000)] l1_latent_x2_opt: 7.3282e-01 fft_frequency_x2_opt: 5.3174e-01 aux_downsample_x2_opt: 5.4085e-02 hf_pixel_x2_opt: 3.7736e-02 l1_latent_x4_opt: 8.1742e-01 fft_frequency_x4_opt: 6.1719e-01 aux_downsample_x4_opt: 6.5570e-02 hf_pixel_x4_opt: 3.8546e-02 +2025-11-05 13:05:03,682 INFO: [39..][epoch: 0, step: 45,600, lr:(5.000e-04,)] [eta: 1 day, 3:01:58, time (data): 1.183 (0.000)] l1_latent_x2_opt: 7.1622e-01 fft_frequency_x2_opt: 5.2368e-01 aux_downsample_x2_opt: 4.8599e-02 hf_pixel_x2_opt: 3.2483e-02 l1_latent_x4_opt: 8.1525e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.2189e-02 hf_pixel_x4_opt: 3.4400e-02 +2025-11-05 13:07:00,873 INFO: [39..][epoch: 0, step: 45,700, lr:(5.000e-04,)] [eta: 1 day, 2:59:46, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.1248e-01 fft_frequency_x2_opt: 5.1904e-01 aux_downsample_x2_opt: 4.7892e-02 hf_pixel_x2_opt: 3.1611e-02 l1_latent_x4_opt: 8.1051e-01 fft_frequency_x4_opt: 6.0156e-01 aux_downsample_x4_opt: 6.1262e-02 hf_pixel_x4_opt: 3.2911e-02 +2025-11-05 13:08:59,514 INFO: [39..][epoch: 0, step: 45,800, lr:(5.000e-04,)] [eta: 1 day, 2:57:37, time (data): 1.181 (0.000)] l1_latent_x2_opt: 7.0647e-01 fft_frequency_x2_opt: 5.1245e-01 aux_downsample_x2_opt: 5.9194e-02 hf_pixel_x2_opt: 3.9923e-02 l1_latent_x4_opt: 8.1095e-01 fft_frequency_x4_opt: 6.0693e-01 aux_downsample_x4_opt: 7.2363e-02 hf_pixel_x4_opt: 4.1569e-02 +2025-11-05 13:10:58,817 INFO: [39..][epoch: 0, step: 45,900, lr:(5.000e-04,)] [eta: 1 day, 2:55:29, time (data): 1.186 (0.000)] l1_latent_x2_opt: 7.2497e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.7201e-02 hf_pixel_x2_opt: 3.7256e-02 l1_latent_x4_opt: 8.3191e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 7.2946e-02 hf_pixel_x4_opt: 4.0342e-02 +2025-11-05 13:12:56,411 INFO: [39..][epoch: 0, step: 46,000, lr:(5.000e-04,)] [eta: 1 day, 2:53:18, time (data): 1.180 (0.000)] l1_latent_x2_opt: 7.2009e-01 fft_frequency_x2_opt: 5.2344e-01 aux_downsample_x2_opt: 5.1385e-02 hf_pixel_x2_opt: 3.3996e-02 l1_latent_x4_opt: 8.1107e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.4384e-02 hf_pixel_x4_opt: 3.5108e-02 +2025-11-05 13:14:52,904 INFO: [39..][epoch: 0, step: 46,100, lr:(5.000e-04,)] [eta: 1 day, 2:51:05, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.0798e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 4.7572e-02 hf_pixel_x2_opt: 3.2110e-02 l1_latent_x4_opt: 7.9650e-01 fft_frequency_x4_opt: 5.9619e-01 aux_downsample_x4_opt: 5.9785e-02 hf_pixel_x4_opt: 3.3498e-02 +2025-11-05 13:16:49,480 INFO: [39..][epoch: 0, step: 46,200, lr:(5.000e-04,)] [eta: 1 day, 2:48:52, time (data): 1.165 (0.000)] l1_latent_x2_opt: 7.1698e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 4.7826e-02 hf_pixel_x2_opt: 3.1778e-02 l1_latent_x4_opt: 8.1404e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 5.9332e-02 hf_pixel_x4_opt: 3.3411e-02 +2025-11-05 13:18:46,754 INFO: [39..][epoch: 0, step: 46,300, lr:(5.000e-04,)] [eta: 1 day, 2:46:41, time (data): 1.176 (0.000)] l1_latent_x2_opt: 6.8673e-01 fft_frequency_x2_opt: 5.0171e-01 aux_downsample_x2_opt: 5.1408e-02 hf_pixel_x2_opt: 3.5161e-02 l1_latent_x4_opt: 7.9754e-01 fft_frequency_x4_opt: 5.9717e-01 aux_downsample_x4_opt: 6.3827e-02 hf_pixel_x4_opt: 3.6515e-02 +2025-11-05 13:20:43,558 INFO: [39..][epoch: 0, step: 46,400, lr:(5.000e-04,)] [eta: 1 day, 2:44:29, time (data): 1.171 (0.000)] l1_latent_x2_opt: 7.0128e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 4.7854e-02 hf_pixel_x2_opt: 2.9854e-02 l1_latent_x4_opt: 8.0108e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.1220e-02 hf_pixel_x4_opt: 3.1726e-02 +2025-11-05 13:22:41,417 INFO: [39..][epoch: 0, step: 46,500, lr:(5.000e-04,)] [eta: 1 day, 2:42:19, time (data): 1.174 (0.000)] l1_latent_x2_opt: 7.1193e-01 fft_frequency_x2_opt: 5.1587e-01 aux_downsample_x2_opt: 5.4457e-02 hf_pixel_x2_opt: 3.6874e-02 l1_latent_x4_opt: 8.0804e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.8096e-02 hf_pixel_x4_opt: 3.8119e-02 +2025-11-05 13:24:38,205 INFO: [39..][epoch: 0, step: 46,600, lr:(5.000e-04,)] [eta: 1 day, 2:40:07, time (data): 1.170 (0.000)] l1_latent_x2_opt: 7.0605e-01 fft_frequency_x2_opt: 5.0903e-01 aux_downsample_x2_opt: 4.6349e-02 hf_pixel_x2_opt: 2.9769e-02 l1_latent_x4_opt: 8.0349e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 5.8713e-02 hf_pixel_x4_opt: 3.1486e-02 +2025-11-05 13:26:35,123 INFO: [39..][epoch: 0, step: 46,700, lr:(5.000e-04,)] [eta: 1 day, 2:37:55, time (data): 1.168 (0.000)] l1_latent_x2_opt: 7.1542e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 5.6064e-02 hf_pixel_x2_opt: 3.7786e-02 l1_latent_x4_opt: 8.2484e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 7.0499e-02 hf_pixel_x4_opt: 3.8968e-02 +2025-11-05 13:28:33,792 INFO: [39..][epoch: 0, step: 46,800, lr:(5.000e-04,)] [eta: 1 day, 2:35:46, time (data): 1.179 (0.000)] l1_latent_x2_opt: 7.1190e-01 fft_frequency_x2_opt: 5.1636e-01 aux_downsample_x2_opt: 5.5688e-02 hf_pixel_x2_opt: 3.8409e-02 l1_latent_x4_opt: 8.0900e-01 fft_frequency_x4_opt: 6.0059e-01 aux_downsample_x4_opt: 6.8810e-02 hf_pixel_x4_opt: 3.9336e-02 +2025-11-05 13:30:31,369 INFO: [39..][epoch: 0, step: 46,900, lr:(5.000e-04,)] [eta: 1 day, 2:33:36, time (data): 1.175 (0.000)] l1_latent_x2_opt: 7.0759e-01 fft_frequency_x2_opt: 5.0806e-01 aux_downsample_x2_opt: 5.4304e-02 hf_pixel_x2_opt: 3.5298e-02 l1_latent_x4_opt: 8.0506e-01 fft_frequency_x4_opt: 6.0107e-01 aux_downsample_x4_opt: 6.8890e-02 hf_pixel_x4_opt: 3.6795e-02 +2025-11-05 13:32:29,164 INFO: [39..][epoch: 0, step: 47,000, lr:(5.000e-04,)] [eta: 1 day, 2:31:25, time (data): 1.177 (0.000)] l1_latent_x2_opt: 7.2227e-01 fft_frequency_x2_opt: 5.2588e-01 aux_downsample_x2_opt: 5.1969e-02 hf_pixel_x2_opt: 3.6028e-02 l1_latent_x4_opt: 8.1324e-01 fft_frequency_x4_opt: 6.1426e-01 aux_downsample_x4_opt: 6.3946e-02 hf_pixel_x4_opt: 3.6567e-02 diff --git a/04_11_2025/39_archived_20251104_171025/basicsr_options.yaml b/04_11_2025/39_archived_20251104_171025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..4992d7cf576da862c614e15a78cd83132fc0496a --- /dev/null +++ b/04_11_2025/39_archived_20251104_171025/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 17:04:38 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_171025/train_39_20251104_170438.log b/04_11_2025/39_archived_20251104_171025/train_39_20251104_170438.log new file mode 100644 index 0000000000000000000000000000000000000000..ccdd3c1b0c955dca74eff4ac4cdaf9a3f5706b3f --- /dev/null +++ b/04_11_2025/39_archived_20251104_171025/train_39_20251104_170438.log @@ -0,0 +1,633 @@ +2025-11-04 17:04:38,209 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 17:04:38,209 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 17:04:40,013 INFO: Use wandb logger with id=ao6kzb5j; project=Swin2SR-Latent-SR. +2025-11-04 17:04:53,578 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 17:04:53,579 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 6 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 17:04:53,582 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 17:04:53,583 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 17:04:53,584 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 17:04:53,713 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:04:55,700 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 17:04:55,701 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 17:04:56,149 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:04:56,172 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 17:04:56,174 INFO: Use EMA with decay: 0.999 +2025-11-04 17:04:56,279 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:04:56,340 INFO: Loading: params_ema does not exist, use params. +2025-11-04 17:04:56,341 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:04:56,363 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 17:04:56,365 INFO: Loss [L1Loss] is created. +2025-11-04 17:04:56,365 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 17:04:56,366 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:04:56,367 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 17:04:56,368 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:04:56,369 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 17:04:56,370 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:04:56,371 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 17:04:56,372 INFO: Loss [L1Loss] is created. +2025-11-04 17:04:56,372 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 17:04:56,372 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:04:56,373 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 17:04:56,374 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:04:56,375 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 17:04:56,375 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:04:56,376 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 17:04:56,378 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 17:04:56,378 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 17:04:56,379 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 17:06:14,307 INFO: Use cuda prefetch dataloader +2025-11-04 17:06:14,308 INFO: Start training from epoch: 0, step: 0 +2025-11-04 17:06:16,834 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 17:08:06,469 INFO: [39..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 9:57:41, time (data): 1.122 (0.013)] l1_latent_x2_opt: 7.2474e-01 fft_frequency_x2_opt: 5.2474e-01 aux_downsample_x2_opt: 5.1147e-02 hf_pixel_x2_opt: 3.6085e-02 l1_latent_x4_opt: 8.1167e-01 fft_frequency_x4_opt: 6.0807e-01 aux_downsample_x4_opt: 6.0569e-02 hf_pixel_x4_opt: 3.5472e-02 +2025-11-04 17:09:44,360 INFO: [39..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 9:56:04, time (data): 1.050 (0.007)] l1_latent_x2_opt: 7.0972e-01 fft_frequency_x2_opt: 5.1855e-01 aux_downsample_x2_opt: 5.6912e-02 hf_pixel_x2_opt: 3.7748e-02 l1_latent_x4_opt: 8.0876e-01 fft_frequency_x4_opt: 6.1263e-01 aux_downsample_x4_opt: 6.9721e-02 hf_pixel_x4_opt: 3.9873e-02 diff --git a/04_11_2025/39_archived_20251104_171250/basicsr_options.yaml b/04_11_2025/39_archived_20251104_171250/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..fb5a22ab990b1f9bc3cb311fb4af2ae5eed338c1 --- /dev/null +++ b/04_11_2025/39_archived_20251104_171250/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 17:10:25 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 32 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_171250/train_39_20251104_171025.log b/04_11_2025/39_archived_20251104_171250/train_39_20251104_171025.log new file mode 100644 index 0000000000000000000000000000000000000000..79fb45c67a667adadaf355d5022fe9674308e24c --- /dev/null +++ b/04_11_2025/39_archived_20251104_171250/train_39_20251104_171025.log @@ -0,0 +1,631 @@ +2025-11-04 17:10:25,033 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 17:10:25,033 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 32 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 17:10:27,012 INFO: Use wandb logger with id=gvww3tbe; project=Swin2SR-Latent-SR. +2025-11-04 17:10:40,716 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 17:10:40,717 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 32 + World size (gpu number): 6 + Steps per epoch: 25305 + Configured training steps: 125000 + Approximate epochs to cover: 5. +2025-11-04 17:10:40,720 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 17:10:40,721 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 17:10:40,722 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 17:10:40,851 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:10:42,926 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 17:10:42,927 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 17:10:42,978 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:10:43,000 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 17:10:43,002 INFO: Use EMA with decay: 0.999 +2025-11-04 17:10:43,111 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:10:43,170 INFO: Loading: params_ema does not exist, use params. +2025-11-04 17:10:43,171 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:10:43,192 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 17:10:43,194 INFO: Loss [L1Loss] is created. +2025-11-04 17:10:43,194 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 17:10:43,196 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:10:43,197 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 17:10:43,198 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:10:43,199 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 17:10:43,200 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:10:43,201 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 17:10:43,202 INFO: Loss [L1Loss] is created. +2025-11-04 17:10:43,202 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 17:10:43,203 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:10:43,204 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 17:10:43,205 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:10:43,205 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 17:10:43,206 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:10:43,207 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 17:10:43,209 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 17:10:43,209 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 17:10:43,210 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 17:11:59,782 INFO: Use cuda prefetch dataloader +2025-11-04 17:11:59,783 INFO: Start training from epoch: 0, step: 0 +2025-11-04 17:12:01,526 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/39_archived_20251104_171656/basicsr_options.yaml b/04_11_2025/39_archived_20251104_171656/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1d0197bef9c55b67bd289a4fa1a0d05c2e56ea94 --- /dev/null +++ b/04_11_2025/39_archived_20251104_171656/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 17:12:50 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 8 + batch_size_per_gpu: 24 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_171656/train_39_20251104_171250.log b/04_11_2025/39_archived_20251104_171656/train_39_20251104_171250.log new file mode 100644 index 0000000000000000000000000000000000000000..b5433372cda66264ab573995551bb5b17d4477d5 --- /dev/null +++ b/04_11_2025/39_archived_20251104_171656/train_39_20251104_171250.log @@ -0,0 +1,631 @@ +2025-11-04 17:12:50,164 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 17:12:50,164 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: False + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 8 + batch_size_per_gpu: 24 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 17:12:51,776 INFO: Use wandb logger with id=b01rpt88; project=Swin2SR-Latent-SR. +2025-11-04 17:13:04,536 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 17:13:04,538 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 24 + World size (gpu number): 6 + Steps per epoch: 33740 + Configured training steps: 125000 + Approximate epochs to cover: 4. +2025-11-04 17:13:04,541 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 17:13:04,541 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 17:13:04,543 WARNING: Forced find_unused_parameters=True for multi-head training because DDP requires it. +2025-11-04 17:13:04,672 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:13:06,749 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 17:13:06,750 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 17:13:06,803 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:13:06,825 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 17:13:06,826 INFO: Use EMA with decay: 0.999 +2025-11-04 17:13:06,935 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:13:06,996 INFO: Loading: params_ema does not exist, use params. +2025-11-04 17:13:06,997 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:13:07,017 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 17:13:07,019 INFO: Loss [L1Loss] is created. +2025-11-04 17:13:07,019 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 17:13:07,020 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:13:07,021 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 17:13:07,022 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:13:07,023 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 17:13:07,024 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:13:07,025 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 17:13:07,025 INFO: Loss [L1Loss] is created. +2025-11-04 17:13:07,025 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 17:13:07,026 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:13:07,027 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 17:13:07,027 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:13:07,028 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 17:13:07,029 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:13:07,030 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 17:13:07,031 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 17:13:07,032 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 17:13:07,033 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 17:15:41,590 INFO: Use cuda prefetch dataloader +2025-11-04 17:15:41,591 INFO: Start training from epoch: 0, step: 0 +2025-11-04 17:15:44,793 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/39_archived_20251104_172026/basicsr_options.yaml b/04_11_2025/39_archived_20251104_172026/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0b922457e97800d12eb0b08dcbc127fe275fa5e3 --- /dev/null +++ b/04_11_2025/39_archived_20251104_172026/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 17:16:56 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 8 + batch_size_per_gpu: 20 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_172026/train_39_20251104_171656.log b/04_11_2025/39_archived_20251104_172026/train_39_20251104_171656.log new file mode 100644 index 0000000000000000000000000000000000000000..c670d86f9601a0ed12acd2793f46289667f54c76 --- /dev/null +++ b/04_11_2025/39_archived_20251104_172026/train_39_20251104_171656.log @@ -0,0 +1,630 @@ +2025-11-04 17:16:56,392 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 17:16:56,392 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 8 + batch_size_per_gpu: 20 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 17:16:58,092 INFO: Use wandb logger with id=9lx2vhyx; project=Swin2SR-Latent-SR. +2025-11-04 17:17:10,541 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 17:17:10,542 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 20 + World size (gpu number): 6 + Steps per epoch: 40488 + Configured training steps: 125000 + Approximate epochs to cover: 4. +2025-11-04 17:17:10,544 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 17:17:10,545 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 17:17:10,672 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:17:12,762 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 17:17:12,763 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 17:17:12,813 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:17:12,835 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 17:17:12,837 INFO: Use EMA with decay: 0.999 +2025-11-04 17:17:12,945 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:17:13,005 INFO: Loading: params_ema does not exist, use params. +2025-11-04 17:17:13,006 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:17:13,028 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 17:17:13,030 INFO: Loss [L1Loss] is created. +2025-11-04 17:17:13,030 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 17:17:13,031 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:17:13,032 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 17:17:13,033 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:17:13,034 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 17:17:13,035 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:17:13,036 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 17:17:13,037 INFO: Loss [L1Loss] is created. +2025-11-04 17:17:13,038 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 17:17:13,038 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:17:13,038 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 17:17:13,038 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:17:13,038 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 17:17:13,039 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:17:13,040 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 17:17:13,042 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 17:17:13,042 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 17:17:13,043 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 17:19:39,512 INFO: Use cuda prefetch dataloader +2025-11-04 17:19:39,513 INFO: Start training from epoch: 0, step: 0 +2025-11-04 17:19:42,688 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/39_archived_20251104_172358/basicsr_options.yaml b/04_11_2025/39_archived_20251104_172358/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..344957acd6ccd42610cdacc9ce8a22c6814ba092 --- /dev/null +++ b/04_11_2025/39_archived_20251104_172358/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 17:20:26 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 8 + batch_size_per_gpu: 16 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_172358/train_39_20251104_172026.log b/04_11_2025/39_archived_20251104_172358/train_39_20251104_172026.log new file mode 100644 index 0000000000000000000000000000000000000000..91bcdf8a3dbb7d7feb899cf766c6aba3927be9b0 --- /dev/null +++ b/04_11_2025/39_archived_20251104_172358/train_39_20251104_172026.log @@ -0,0 +1,630 @@ +2025-11-04 17:20:26,274 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 17:20:26,274 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 8 + batch_size_per_gpu: 16 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 17:20:27,941 INFO: Use wandb logger with id=mg0c5tu9; project=Swin2SR-Latent-SR. +2025-11-04 17:20:40,469 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 17:20:40,470 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 16 + World size (gpu number): 6 + Steps per epoch: 50610 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-11-04 17:20:40,474 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 17:20:40,475 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 17:20:40,602 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:20:42,650 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 17:20:42,651 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 17:20:42,724 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:20:42,754 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 17:20:42,756 INFO: Use EMA with decay: 0.999 +2025-11-04 17:20:42,957 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:20:43,049 INFO: Loading: params_ema does not exist, use params. +2025-11-04 17:20:43,050 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:20:43,079 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 17:20:43,082 INFO: Loss [L1Loss] is created. +2025-11-04 17:20:43,083 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 17:20:43,085 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:20:43,086 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 17:20:43,087 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:20:43,088 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 17:20:43,089 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:20:43,090 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 17:20:43,091 INFO: Loss [L1Loss] is created. +2025-11-04 17:20:43,092 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 17:20:43,093 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:20:43,094 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 17:20:43,095 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:20:43,096 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 17:20:43,097 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:20:43,098 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 17:20:43,100 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 17:20:43,100 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 17:20:43,101 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 17:23:12,237 INFO: Use cuda prefetch dataloader +2025-11-04 17:23:12,238 INFO: Start training from epoch: 0, step: 0 +2025-11-04 17:23:15,243 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/04_11_2025/39_archived_20251104_174404/basicsr_options.yaml b/04_11_2025/39_archived_20251104_174404/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..2ddbaf2c40bb9b08031b64772c23c01571a3dccc --- /dev/null +++ b/04_11_2025/39_archived_20251104_174404/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 17:23:58 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_174404/train_39_20251104_172358.log b/04_11_2025/39_archived_20251104_174404/train_39_20251104_172358.log new file mode 100644 index 0000000000000000000000000000000000000000..06dcc9c2be3a8aa86f0def980a72d88889d9e4f2 --- /dev/null +++ b/04_11_2025/39_archived_20251104_174404/train_39_20251104_172358.log @@ -0,0 +1,645 @@ +2025-11-04 17:23:58,544 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 17:23:58,544 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 6 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 500 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 6 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 17:24:00,577 INFO: Use wandb logger with id=809fuhnl; project=Swin2SR-Latent-SR. +2025-11-04 17:24:13,622 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 17:24:13,623 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 6 + Steps per epoch: 67480 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-04 17:24:13,627 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 17:24:13,627 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 17:24:13,762 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:24:15,809 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 17:24:15,810 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 17:24:15,862 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:24:15,884 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 17:24:15,885 INFO: Use EMA with decay: 0.999 +2025-11-04 17:24:15,993 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:24:16,054 INFO: Loading: params_ema does not exist, use params. +2025-11-04 17:24:16,055 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:24:16,076 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 17:24:16,078 INFO: Loss [L1Loss] is created. +2025-11-04 17:24:16,078 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 17:24:16,079 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:24:16,080 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 17:24:16,082 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:24:16,083 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 17:24:16,084 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:24:16,085 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 17:24:16,087 INFO: Loss [L1Loss] is created. +2025-11-04 17:24:16,087 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 17:24:16,088 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:24:16,089 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 17:24:16,090 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:24:16,091 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 17:24:16,091 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:24:16,092 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 17:24:16,095 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 17:24:16,095 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 17:24:16,096 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 17:25:32,845 INFO: Use cuda prefetch dataloader +2025-11-04 17:25:32,846 INFO: Start training from epoch: 0, step: 0 +2025-11-04 17:25:34,862 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 17:27:59,195 INFO: [39..][epoch: 0, step: 100, lr:(5.000e-04,)] [eta: 1 day, 21:51:56, time (data): 1.463 (0.014)] l1_latent_x2_opt: 7.2477e-01 fft_frequency_x2_opt: 5.1790e-01 aux_downsample_x2_opt: 5.1585e-02 hf_pixel_x2_opt: 3.2817e-02 l1_latent_x4_opt: 8.1886e-01 fft_frequency_x4_opt: 6.0872e-01 aux_downsample_x4_opt: 6.5579e-02 hf_pixel_x4_opt: 3.4039e-02 +2025-11-04 17:30:13,555 INFO: [39..][epoch: 0, step: 200, lr:(5.000e-04,)] [eta: 1 day, 22:12:05, time (data): 1.404 (0.007)] l1_latent_x2_opt: 7.2126e-01 fft_frequency_x2_opt: 5.1986e-01 aux_downsample_x2_opt: 5.6676e-02 hf_pixel_x2_opt: 3.7261e-02 l1_latent_x4_opt: 8.2266e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 7.1628e-02 hf_pixel_x4_opt: 3.9245e-02 +2025-11-04 17:32:28,228 INFO: [39..][epoch: 0, step: 300, lr:(5.000e-04,)] [eta: 1 day, 22:19:31, time (data): 1.347 (0.000)] l1_latent_x2_opt: 7.2014e-01 fft_frequency_x2_opt: 5.1628e-01 aux_downsample_x2_opt: 5.6589e-02 hf_pixel_x2_opt: 3.3866e-02 l1_latent_x4_opt: 8.2612e-01 fft_frequency_x4_opt: 6.0872e-01 aux_downsample_x4_opt: 7.1573e-02 hf_pixel_x4_opt: 3.5252e-02 +2025-11-04 17:34:42,753 INFO: [39..][epoch: 0, step: 400, lr:(5.000e-04,)] [eta: 1 day, 22:21:21, time (data): 1.346 (0.000)] l1_latent_x2_opt: 7.1569e-01 fft_frequency_x2_opt: 5.2409e-01 aux_downsample_x2_opt: 5.2701e-02 hf_pixel_x2_opt: 3.3162e-02 l1_latent_x4_opt: 8.2035e-01 fft_frequency_x4_opt: 6.1784e-01 aux_downsample_x4_opt: 6.6638e-02 hf_pixel_x4_opt: 3.5358e-02 +2025-11-04 17:36:57,066 INFO: [39..][epoch: 0, step: 500, lr:(5.000e-04,)] [eta: 1 day, 22:20:42, time (data): 1.343 (0.000)] l1_latent_x2_opt: 7.2576e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 4.9497e-02 hf_pixel_x2_opt: 3.1129e-02 l1_latent_x4_opt: 8.2374e-01 fft_frequency_x4_opt: 6.1068e-01 aux_downsample_x4_opt: 6.0516e-02 hf_pixel_x4_opt: 3.1338e-02 +2025-11-04 17:39:09,132 INFO: Validation val_x2 + # l1_latent: 0.7635 Best: 0.7635 @ 500 iter + # pixel_psnr_pt: 28.7287 Best: 28.7287 @ 500 iter + +2025-11-04 17:41:18,080 INFO: Validation val_x4 + # l1_latent: 0.8521 Best: 0.8521 @ 500 iter + # l2_latent: 1.1937 Best: 1.1937 @ 500 iter + # pixel_psnr_pt: 26.2661 Best: 26.2661 @ 500 iter + +2025-11-04 17:43:32,744 INFO: [39..][epoch: 0, step: 600, lr:(5.000e-04,)] [eta: 2 days, 13:21:09, time (data): 1.345 (0.000)] l1_latent_x2_opt: 7.3411e-01 fft_frequency_x2_opt: 5.2734e-01 aux_downsample_x2_opt: 5.4268e-02 hf_pixel_x2_opt: 3.5028e-02 l1_latent_x4_opt: 8.4425e-01 fft_frequency_x4_opt: 6.2565e-01 aux_downsample_x4_opt: 7.0657e-02 hf_pixel_x4_opt: 3.7107e-02 diff --git a/04_11_2025/39_archived_20251104_212958/basicsr_options.yaml b/04_11_2025/39_archived_20251104_212958/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..353b9dd7593c76007fc7b17c77067089c2ee052d --- /dev/null +++ b/04_11_2025/39_archived_20251104_212958/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 17:44:04 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_212958/train_39_20251104_174404.log b/04_11_2025/39_archived_20251104_212958/train_39_20251104_174404.log new file mode 100644 index 0000000000000000000000000000000000000000..a9e7758a481362c1dcfeaffa4f3df1f9e8ace0af --- /dev/null +++ b/04_11_2025/39_archived_20251104_212958/train_39_20251104_174404.log @@ -0,0 +1,690 @@ +2025-11-04 17:44:04,636 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 17:44:04,636 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 8 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 8 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 17:44:06,403 INFO: Use wandb logger with id=j67rxaon; project=Swin2SR-Latent-SR. +2025-11-04 17:44:19,059 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 17:44:19,060 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 8 + Steps per epoch: 50610 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-11-04 17:44:19,064 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 17:44:19,065 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 17:44:19,195 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:44:21,462 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 17:44:21,463 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-04 17:44:21,542 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:44:21,574 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-04 17:44:21,576 INFO: Use EMA with decay: 0.999 +2025-11-04 17:44:21,758 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 17:44:21,851 INFO: Loading: params_ema does not exist, use params. +2025-11-04 17:44:21,852 INFO: Loading SwinIRMultiHead from ./pretrained_weights/01_11_2025/31/models/net_g_110000.pth [key=params]. +2025-11-04 17:44:21,881 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-04 17:44:21,884 INFO: Loss [L1Loss] is created. +2025-11-04 17:44:21,884 INFO: Initialized l1_latent_x2_opt in latent space (w=1.0). +2025-11-04 17:44:21,885 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:44:21,886 INFO: Initialized fft_frequency_x2_opt in latent space (w=0.1). +2025-11-04 17:44:21,887 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:44:21,888 INFO: Initialized aux_downsample_x2_opt in pixel space (w=0.1). +2025-11-04 17:44:21,890 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:44:21,891 INFO: Initialized hf_pixel_x2_opt in pixel space (w=0.05). +2025-11-04 17:44:21,892 INFO: Loss [L1Loss] is created. +2025-11-04 17:44:21,893 INFO: Initialized l1_latent_x4_opt in latent space (w=1.0). +2025-11-04 17:44:21,894 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-04 17:44:21,895 INFO: Initialized fft_frequency_x4_opt in latent space (w=0.1). +2025-11-04 17:44:21,895 INFO: Loss [DownsampleConsistencyLoss] is created. +2025-11-04 17:44:21,895 INFO: Initialized aux_downsample_x4_opt in pixel space (w=0.1). +2025-11-04 17:44:21,896 INFO: Loss [HighFrequencyL1Loss] is created. +2025-11-04 17:44:21,897 INFO: Initialized hf_pixel_x4_opt in pixel space (w=0.05). +2025-11-04 17:44:21,899 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-04 17:44:21,899 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-04 17:44:21,899 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-04 17:45:39,919 INFO: Use cuda prefetch dataloader +2025-11-04 17:45:39,920 INFO: Start training from epoch: 0, step: 0 +2025-11-04 17:45:42,256 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-04 17:48:06,672 INFO: [39..][epoch: 0, step: 100, lr:(5.000e-04,)] [eta: 1 day, 22:03:03, time (data): 1.468 (0.015)] l1_latent_x2_opt: 7.1538e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 5.2473e-02 hf_pixel_x2_opt: 3.3547e-02 l1_latent_x4_opt: 8.1259e-01 fft_frequency_x4_opt: 5.9814e-01 aux_downsample_x4_opt: 6.4306e-02 hf_pixel_x4_opt: 3.4876e-02 +2025-11-04 17:50:21,752 INFO: [39..][epoch: 0, step: 200, lr:(5.000e-04,)] [eta: 1 day, 22:25:06, time (data): 1.409 (0.007)] l1_latent_x2_opt: 7.2462e-01 fft_frequency_x2_opt: 5.1978e-01 aux_downsample_x2_opt: 5.8646e-02 hf_pixel_x2_opt: 3.8853e-02 l1_latent_x4_opt: 8.2175e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 7.1363e-02 hf_pixel_x4_opt: 3.9566e-02 +2025-11-04 17:52:36,893 INFO: [39..][epoch: 0, step: 300, lr:(5.000e-04,)] [eta: 1 day, 22:31:27, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.1494e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 5.5444e-02 hf_pixel_x2_opt: 3.6638e-02 l1_latent_x4_opt: 8.1160e-01 fft_frequency_x4_opt: 6.2158e-01 aux_downsample_x4_opt: 7.0688e-02 hf_pixel_x4_opt: 3.8187e-02 +2025-11-04 17:54:51,895 INFO: [39..][epoch: 0, step: 400, lr:(5.000e-04,)] [eta: 1 day, 22:32:46, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.2170e-01 fft_frequency_x2_opt: 5.2588e-01 aux_downsample_x2_opt: 5.4698e-02 hf_pixel_x2_opt: 3.4865e-02 l1_latent_x4_opt: 8.2728e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.7423e-02 hf_pixel_x4_opt: 3.6045e-02 +2025-11-04 17:57:07,534 INFO: [39..][epoch: 0, step: 500, lr:(5.000e-04,)] [eta: 1 day, 22:35:19, time (data): 1.357 (0.000)] l1_latent_x2_opt: 7.1057e-01 fft_frequency_x2_opt: 5.1440e-01 aux_downsample_x2_opt: 5.4125e-02 hf_pixel_x2_opt: 3.3586e-02 l1_latent_x4_opt: 8.1176e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 7.0314e-02 hf_pixel_x4_opt: 3.7586e-02 +2025-11-04 17:59:23,634 INFO: [39..][epoch: 0, step: 600, lr:(5.000e-04,)] [eta: 1 day, 22:37:50, time (data): 1.359 (0.000)] l1_latent_x2_opt: 7.1819e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 5.4263e-02 hf_pixel_x2_opt: 3.5276e-02 l1_latent_x4_opt: 8.2229e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 7.0281e-02 hf_pixel_x4_opt: 3.8503e-02 +2025-11-04 18:01:38,566 INFO: [39..][epoch: 0, step: 700, lr:(5.000e-04,)] [eta: 1 day, 22:35:33, time (data): 1.349 (0.000)] l1_latent_x2_opt: 7.3096e-01 fft_frequency_x2_opt: 5.3174e-01 aux_downsample_x2_opt: 5.4279e-02 hf_pixel_x2_opt: 3.4074e-02 l1_latent_x4_opt: 8.2776e-01 fft_frequency_x4_opt: 6.2500e-01 aux_downsample_x4_opt: 6.8199e-02 hf_pixel_x4_opt: 3.5843e-02 +2025-11-04 18:03:53,449 INFO: [39..][epoch: 0, step: 800, lr:(5.000e-04,)] [eta: 1 day, 22:33:09, time (data): 1.349 (0.000)] l1_latent_x2_opt: 7.3620e-01 fft_frequency_x2_opt: 5.2246e-01 aux_downsample_x2_opt: 5.5530e-02 hf_pixel_x2_opt: 3.6471e-02 l1_latent_x4_opt: 8.3013e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 7.0553e-02 hf_pixel_x4_opt: 3.8146e-02 +2025-11-04 18:06:08,534 INFO: [39..][epoch: 0, step: 900, lr:(5.000e-04,)] [eta: 1 day, 22:31:14, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.2444e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 4.8316e-02 hf_pixel_x2_opt: 3.1387e-02 l1_latent_x4_opt: 8.1942e-01 fft_frequency_x4_opt: 6.1182e-01 aux_downsample_x4_opt: 6.1079e-02 hf_pixel_x4_opt: 3.2247e-02 +2025-11-04 18:08:23,633 INFO: [39..][epoch: 0, step: 1,000, lr:(5.000e-04,)] [eta: 1 day, 22:29:18, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.3483e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 5.8090e-02 hf_pixel_x2_opt: 3.7956e-02 l1_latent_x4_opt: 8.3406e-01 fft_frequency_x4_opt: 6.0596e-01 aux_downsample_x4_opt: 7.0483e-02 hf_pixel_x4_opt: 3.7886e-02 +2025-11-04 18:10:38,554 INFO: [39..][epoch: 0, step: 1,100, lr:(5.000e-04,)] [eta: 1 day, 22:26:57, time (data): 1.349 (0.000)] l1_latent_x2_opt: 7.1678e-01 fft_frequency_x2_opt: 5.1831e-01 aux_downsample_x2_opt: 5.2998e-02 hf_pixel_x2_opt: 3.3298e-02 l1_latent_x4_opt: 8.0588e-01 fft_frequency_x4_opt: 6.0791e-01 aux_downsample_x4_opt: 6.3533e-02 hf_pixel_x4_opt: 3.4202e-02 +2025-11-04 18:12:53,495 INFO: [39..][epoch: 0, step: 1,200, lr:(5.000e-04,)] [eta: 1 day, 22:24:40, time (data): 1.349 (0.000)] l1_latent_x2_opt: 7.1548e-01 fft_frequency_x2_opt: 5.1685e-01 aux_downsample_x2_opt: 4.7315e-02 hf_pixel_x2_opt: 2.9344e-02 l1_latent_x4_opt: 8.0816e-01 fft_frequency_x4_opt: 6.0254e-01 aux_downsample_x4_opt: 5.9042e-02 hf_pixel_x4_opt: 3.0520e-02 +2025-11-04 18:15:08,326 INFO: [39..][epoch: 0, step: 1,300, lr:(5.000e-04,)] [eta: 1 day, 22:22:13, time (data): 1.348 (0.000)] l1_latent_x2_opt: 7.3182e-01 fft_frequency_x2_opt: 5.2222e-01 aux_downsample_x2_opt: 5.0035e-02 hf_pixel_x2_opt: 3.3350e-02 l1_latent_x4_opt: 8.2970e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.3545e-02 hf_pixel_x4_opt: 3.4917e-02 +2025-11-04 18:17:23,751 INFO: [39..][epoch: 0, step: 1,400, lr:(5.000e-04,)] [eta: 1 day, 22:20:40, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.2209e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 4.8760e-02 hf_pixel_x2_opt: 3.2254e-02 l1_latent_x4_opt: 8.1701e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.1903e-02 hf_pixel_x4_opt: 3.3500e-02 +2025-11-04 18:19:39,029 INFO: [39..][epoch: 0, step: 1,500, lr:(5.000e-04,)] [eta: 1 day, 22:18:49, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.2367e-01 fft_frequency_x2_opt: 5.1733e-01 aux_downsample_x2_opt: 5.2854e-02 hf_pixel_x2_opt: 3.4301e-02 l1_latent_x4_opt: 8.1990e-01 fft_frequency_x4_opt: 6.0938e-01 aux_downsample_x4_opt: 6.7018e-02 hf_pixel_x4_opt: 3.5185e-02 +2025-11-04 18:21:53,877 INFO: [39..][epoch: 0, step: 1,600, lr:(5.000e-04,)] [eta: 1 day, 22:16:22, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.2551e-01 fft_frequency_x2_opt: 5.2417e-01 aux_downsample_x2_opt: 5.1626e-02 hf_pixel_x2_opt: 3.4591e-02 l1_latent_x4_opt: 8.2464e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.5784e-02 hf_pixel_x4_opt: 3.7126e-02 +2025-11-04 18:24:11,059 INFO: [39..][epoch: 0, step: 1,700, lr:(5.000e-04,)] [eta: 1 day, 22:16:45, time (data): 1.374 (0.000)] l1_latent_x2_opt: 7.0685e-01 fft_frequency_x2_opt: 5.1196e-01 aux_downsample_x2_opt: 4.6546e-02 hf_pixel_x2_opt: 3.1026e-02 l1_latent_x4_opt: 7.9315e-01 fft_frequency_x4_opt: 5.9766e-01 aux_downsample_x4_opt: 6.0185e-02 hf_pixel_x4_opt: 3.2489e-02 +2025-11-04 18:26:26,875 INFO: [39..][epoch: 0, step: 1,800, lr:(5.000e-04,)] [eta: 1 day, 22:15:17, time (data): 1.366 (0.000)] l1_latent_x2_opt: 7.2728e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.4100e-02 hf_pixel_x2_opt: 3.5413e-02 l1_latent_x4_opt: 8.2565e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.7567e-02 hf_pixel_x4_opt: 3.5887e-02 +2025-11-04 18:28:41,834 INFO: [39..][epoch: 0, step: 1,900, lr:(5.000e-04,)] [eta: 1 day, 22:12:49, time (data): 1.349 (0.000)] l1_latent_x2_opt: 7.3979e-01 fft_frequency_x2_opt: 5.3149e-01 aux_downsample_x2_opt: 5.5061e-02 hf_pixel_x2_opt: 3.6172e-02 l1_latent_x4_opt: 8.3253e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 6.8824e-02 hf_pixel_x4_opt: 3.7857e-02 +2025-11-04 18:30:56,836 INFO: [39..][epoch: 0, step: 2,000, lr:(5.000e-04,)] [eta: 1 day, 22:10:25, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.1404e-01 fft_frequency_x2_opt: 5.1465e-01 aux_downsample_x2_opt: 4.7809e-02 hf_pixel_x2_opt: 3.0376e-02 l1_latent_x4_opt: 8.1420e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.1369e-02 hf_pixel_x4_opt: 3.1697e-02 +2025-11-04 18:33:12,865 INFO: [39..][epoch: 0, step: 2,100, lr:(5.000e-04,)] [eta: 1 day, 22:09:02, time (data): 1.362 (0.000)] l1_latent_x2_opt: 7.1883e-01 fft_frequency_x2_opt: 5.2393e-01 aux_downsample_x2_opt: 5.1495e-02 hf_pixel_x2_opt: 3.3885e-02 l1_latent_x4_opt: 8.1879e-01 fft_frequency_x4_opt: 6.1670e-01 aux_downsample_x4_opt: 6.6821e-02 hf_pixel_x4_opt: 3.6232e-02 +2025-11-04 18:35:27,769 INFO: [39..][epoch: 0, step: 2,200, lr:(5.000e-04,)] [eta: 1 day, 22:06:31, time (data): 1.355 (0.000)] l1_latent_x2_opt: 7.2259e-01 fft_frequency_x2_opt: 5.2002e-01 aux_downsample_x2_opt: 5.5170e-02 hf_pixel_x2_opt: 3.5376e-02 l1_latent_x4_opt: 8.2379e-01 fft_frequency_x4_opt: 6.1475e-01 aux_downsample_x4_opt: 6.9685e-02 hf_pixel_x4_opt: 3.6974e-02 +2025-11-04 18:37:42,780 INFO: [39..][epoch: 0, step: 2,300, lr:(5.000e-04,)] [eta: 1 day, 22:04:07, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.0540e-01 fft_frequency_x2_opt: 5.1172e-01 aux_downsample_x2_opt: 5.4046e-02 hf_pixel_x2_opt: 3.5699e-02 l1_latent_x4_opt: 8.0685e-01 fft_frequency_x4_opt: 6.0498e-01 aux_downsample_x4_opt: 6.9422e-02 hf_pixel_x4_opt: 3.7606e-02 +2025-11-04 18:39:57,635 INFO: [39..][epoch: 0, step: 2,400, lr:(5.000e-04,)] [eta: 1 day, 22:01:36, time (data): 1.349 (0.000)] l1_latent_x2_opt: 7.2828e-01 fft_frequency_x2_opt: 5.2612e-01 aux_downsample_x2_opt: 5.1853e-02 hf_pixel_x2_opt: 3.4054e-02 l1_latent_x4_opt: 8.2290e-01 fft_frequency_x4_opt: 6.1963e-01 aux_downsample_x4_opt: 6.5827e-02 hf_pixel_x4_opt: 3.5909e-02 +2025-11-04 18:42:12,603 INFO: [39..][epoch: 0, step: 2,500, lr:(5.000e-04,)] [eta: 1 day, 21:59:12, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.0629e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 5.4957e-02 hf_pixel_x2_opt: 3.5025e-02 l1_latent_x4_opt: 8.1038e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.9279e-02 hf_pixel_x4_opt: 3.6056e-02 +2025-11-04 18:44:28,572 INFO: [39..][epoch: 0, step: 2,600, lr:(5.000e-04,)] [eta: 1 day, 21:57:35, time (data): 1.355 (0.000)] l1_latent_x2_opt: 7.1186e-01 fft_frequency_x2_opt: 5.0684e-01 aux_downsample_x2_opt: 5.3425e-02 hf_pixel_x2_opt: 3.4876e-02 l1_latent_x4_opt: 8.1505e-01 fft_frequency_x4_opt: 5.8838e-01 aux_downsample_x4_opt: 6.6993e-02 hf_pixel_x4_opt: 3.6462e-02 +2025-11-04 18:46:43,332 INFO: [39..][epoch: 0, step: 2,700, lr:(5.000e-04,)] [eta: 1 day, 21:55:01, time (data): 1.348 (0.000)] l1_latent_x2_opt: 7.2911e-01 fft_frequency_x2_opt: 5.2881e-01 aux_downsample_x2_opt: 4.8840e-02 hf_pixel_x2_opt: 3.1548e-02 l1_latent_x4_opt: 8.2863e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.1509e-02 hf_pixel_x4_opt: 3.2518e-02 +2025-11-04 18:48:58,081 INFO: [39..][epoch: 0, step: 2,800, lr:(5.000e-04,)] [eta: 1 day, 21:52:28, time (data): 1.348 (0.000)] l1_latent_x2_opt: 7.2362e-01 fft_frequency_x2_opt: 5.2124e-01 aux_downsample_x2_opt: 5.2436e-02 hf_pixel_x2_opt: 3.5142e-02 l1_latent_x4_opt: 8.1948e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.5940e-02 hf_pixel_x4_opt: 3.6466e-02 +2025-11-04 18:51:14,591 INFO: [39..][epoch: 0, step: 2,900, lr:(5.000e-04,)] [eta: 1 day, 21:51:10, time (data): 1.368 (0.000)] l1_latent_x2_opt: 7.0759e-01 fft_frequency_x2_opt: 5.0098e-01 aux_downsample_x2_opt: 4.7543e-02 hf_pixel_x2_opt: 3.0715e-02 l1_latent_x4_opt: 8.0679e-01 fft_frequency_x4_opt: 5.9180e-01 aux_downsample_x4_opt: 6.3564e-02 hf_pixel_x4_opt: 3.2049e-02 +2025-11-04 18:53:30,048 INFO: [39..][epoch: 0, step: 3,000, lr:(5.000e-04,)] [eta: 1 day, 21:49:06, time (data): 1.361 (0.000)] l1_latent_x2_opt: 7.0903e-01 fft_frequency_x2_opt: 5.1807e-01 aux_downsample_x2_opt: 5.4698e-02 hf_pixel_x2_opt: 3.7555e-02 l1_latent_x4_opt: 8.0087e-01 fft_frequency_x4_opt: 6.1133e-01 aux_downsample_x4_opt: 6.8103e-02 hf_pixel_x4_opt: 3.9139e-02 +2025-11-04 18:55:46,300 INFO: [39..][epoch: 0, step: 3,100, lr:(5.000e-04,)] [eta: 1 day, 21:47:32, time (data): 1.362 (0.000)] l1_latent_x2_opt: 7.2234e-01 fft_frequency_x2_opt: 5.2539e-01 aux_downsample_x2_opt: 5.3446e-02 hf_pixel_x2_opt: 3.5487e-02 l1_latent_x4_opt: 8.2032e-01 fft_frequency_x4_opt: 6.1963e-01 aux_downsample_x4_opt: 6.7726e-02 hf_pixel_x4_opt: 3.7343e-02 +2025-11-04 18:58:01,157 INFO: [39..][epoch: 0, step: 3,200, lr:(5.000e-04,)] [eta: 1 day, 21:45:02, time (data): 1.355 (0.000)] l1_latent_x2_opt: 7.2524e-01 fft_frequency_x2_opt: 5.2930e-01 aux_downsample_x2_opt: 5.6736e-02 hf_pixel_x2_opt: 3.9300e-02 l1_latent_x4_opt: 8.2499e-01 fft_frequency_x4_opt: 6.2646e-01 aux_downsample_x4_opt: 7.0797e-02 hf_pixel_x4_opt: 4.1326e-02 +2025-11-04 19:00:15,895 INFO: [39..][epoch: 0, step: 3,300, lr:(5.000e-04,)] [eta: 1 day, 21:42:29, time (data): 1.347 (0.000)] l1_latent_x2_opt: 7.3721e-01 fft_frequency_x2_opt: 5.2734e-01 aux_downsample_x2_opt: 5.2932e-02 hf_pixel_x2_opt: 3.5381e-02 l1_latent_x4_opt: 8.3380e-01 fft_frequency_x4_opt: 6.1816e-01 aux_downsample_x4_opt: 6.6464e-02 hf_pixel_x4_opt: 3.6365e-02 +2025-11-04 19:02:30,650 INFO: [39..][epoch: 0, step: 3,400, lr:(5.000e-04,)] [eta: 1 day, 21:39:57, time (data): 1.347 (0.000)] l1_latent_x2_opt: 7.2536e-01 fft_frequency_x2_opt: 5.2783e-01 aux_downsample_x2_opt: 5.3571e-02 hf_pixel_x2_opt: 3.5719e-02 l1_latent_x4_opt: 8.2371e-01 fft_frequency_x4_opt: 6.1865e-01 aux_downsample_x4_opt: 6.7078e-02 hf_pixel_x4_opt: 3.6596e-02 +2025-11-04 19:04:46,275 INFO: [39..][epoch: 0, step: 3,500, lr:(5.000e-04,)] [eta: 1 day, 21:37:57, time (data): 1.357 (0.000)] l1_latent_x2_opt: 7.1946e-01 fft_frequency_x2_opt: 5.2759e-01 aux_downsample_x2_opt: 5.0332e-02 hf_pixel_x2_opt: 3.2460e-02 l1_latent_x4_opt: 8.2649e-01 fft_frequency_x4_opt: 6.2109e-01 aux_downsample_x4_opt: 6.5609e-02 hf_pixel_x4_opt: 3.4554e-02 +2025-11-04 19:07:01,833 INFO: [39..][epoch: 0, step: 3,600, lr:(5.000e-04,)] [eta: 1 day, 21:35:54, time (data): 1.356 (0.000)] l1_latent_x2_opt: 7.1833e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 5.4198e-02 hf_pixel_x2_opt: 3.5062e-02 l1_latent_x4_opt: 8.1729e-01 fft_frequency_x4_opt: 6.1035e-01 aux_downsample_x4_opt: 6.8125e-02 hf_pixel_x4_opt: 3.5862e-02 +2025-11-04 19:09:18,544 INFO: [39..][epoch: 0, step: 3,700, lr:(5.000e-04,)] [eta: 1 day, 21:34:27, time (data): 1.371 (0.000)] l1_latent_x2_opt: 7.2597e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 5.2231e-02 hf_pixel_x2_opt: 3.3028e-02 l1_latent_x4_opt: 8.2601e-01 fft_frequency_x4_opt: 6.1621e-01 aux_downsample_x4_opt: 6.7380e-02 hf_pixel_x4_opt: 3.5541e-02 +2025-11-04 19:11:35,332 INFO: [39..][epoch: 0, step: 3,800, lr:(5.000e-04,)] [eta: 1 day, 21:33:01, time (data): 1.369 (0.000)] l1_latent_x2_opt: 7.1383e-01 fft_frequency_x2_opt: 5.2148e-01 aux_downsample_x2_opt: 4.9597e-02 hf_pixel_x2_opt: 3.2262e-02 l1_latent_x4_opt: 8.0896e-01 fft_frequency_x4_opt: 6.1523e-01 aux_downsample_x4_opt: 6.1547e-02 hf_pixel_x4_opt: 3.4062e-02 +2025-11-04 19:13:50,277 INFO: [39..][epoch: 0, step: 3,900, lr:(5.000e-04,)] [eta: 1 day, 21:30:34, time (data): 1.349 (0.000)] l1_latent_x2_opt: 7.2276e-01 fft_frequency_x2_opt: 5.1953e-01 aux_downsample_x2_opt: 4.7234e-02 hf_pixel_x2_opt: 2.9734e-02 l1_latent_x4_opt: 8.2144e-01 fft_frequency_x4_opt: 6.1328e-01 aux_downsample_x4_opt: 6.2862e-02 hf_pixel_x4_opt: 3.2668e-02 +2025-11-04 19:16:05,353 INFO: [39..][epoch: 0, step: 4,000, lr:(5.000e-04,)] [eta: 1 day, 21:28:13, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.3263e-01 fft_frequency_x2_opt: 5.3271e-01 aux_downsample_x2_opt: 5.2168e-02 hf_pixel_x2_opt: 3.4322e-02 l1_latent_x4_opt: 8.2936e-01 fft_frequency_x4_opt: 6.2354e-01 aux_downsample_x4_opt: 6.5301e-02 hf_pixel_x4_opt: 3.5689e-02 +2025-11-04 19:18:20,526 INFO: [39..][epoch: 0, step: 4,100, lr:(5.000e-04,)] [eta: 1 day, 21:25:54, time (data): 1.352 (0.000)] l1_latent_x2_opt: 7.1286e-01 fft_frequency_x2_opt: 5.1074e-01 aux_downsample_x2_opt: 4.6884e-02 hf_pixel_x2_opt: 3.0640e-02 l1_latent_x4_opt: 8.1557e-01 fft_frequency_x4_opt: 5.9180e-01 aux_downsample_x4_opt: 5.8137e-02 hf_pixel_x4_opt: 3.0957e-02 +2025-11-04 19:20:35,592 INFO: [39..][epoch: 0, step: 4,200, lr:(5.000e-04,)] [eta: 1 day, 21:23:33, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.2062e-01 fft_frequency_x2_opt: 5.2441e-01 aux_downsample_x2_opt: 5.2407e-02 hf_pixel_x2_opt: 3.4586e-02 l1_latent_x4_opt: 8.2534e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 6.5348e-02 hf_pixel_x4_opt: 3.6032e-02 +2025-11-04 19:22:50,603 INFO: [39..][epoch: 0, step: 4,300, lr:(5.000e-04,)] [eta: 1 day, 21:21:10, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.3037e-01 fft_frequency_x2_opt: 5.2295e-01 aux_downsample_x2_opt: 4.8673e-02 hf_pixel_x2_opt: 3.2038e-02 l1_latent_x4_opt: 8.3314e-01 fft_frequency_x4_opt: 6.0400e-01 aux_downsample_x4_opt: 6.1514e-02 hf_pixel_x4_opt: 3.2493e-02 +2025-11-04 19:25:05,868 INFO: [39..][epoch: 0, step: 4,400, lr:(5.000e-04,)] [eta: 1 day, 21:18:54, time (data): 1.352 (0.000)] l1_latent_x2_opt: 7.3493e-01 fft_frequency_x2_opt: 5.3564e-01 aux_downsample_x2_opt: 5.3350e-02 hf_pixel_x2_opt: 3.4770e-02 l1_latent_x4_opt: 8.3158e-01 fft_frequency_x4_opt: 6.2598e-01 aux_downsample_x4_opt: 6.6108e-02 hf_pixel_x4_opt: 3.6103e-02 +2025-11-04 19:27:22,034 INFO: [39..][epoch: 0, step: 4,500, lr:(5.000e-04,)] [eta: 1 day, 21:17:03, time (data): 1.365 (0.000)] l1_latent_x2_opt: 7.1594e-01 fft_frequency_x2_opt: 5.2026e-01 aux_downsample_x2_opt: 5.7206e-02 hf_pixel_x2_opt: 3.7309e-02 l1_latent_x4_opt: 8.1017e-01 fft_frequency_x4_opt: 6.1279e-01 aux_downsample_x4_opt: 7.1502e-02 hf_pixel_x4_opt: 3.8709e-02 +2025-11-04 19:29:37,121 INFO: [39..][epoch: 0, step: 4,600, lr:(5.000e-04,)] [eta: 1 day, 21:14:43, time (data): 1.357 (0.000)] l1_latent_x2_opt: 7.1196e-01 fft_frequency_x2_opt: 5.2051e-01 aux_downsample_x2_opt: 4.9442e-02 hf_pixel_x2_opt: 3.2259e-02 l1_latent_x4_opt: 8.1157e-01 fft_frequency_x4_opt: 6.0547e-01 aux_downsample_x4_opt: 6.2155e-02 hf_pixel_x4_opt: 3.3576e-02 +2025-11-04 19:31:52,148 INFO: [39..][epoch: 0, step: 4,700, lr:(5.000e-04,)] [eta: 1 day, 21:12:21, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.1185e-01 fft_frequency_x2_opt: 5.1611e-01 aux_downsample_x2_opt: 5.2363e-02 hf_pixel_x2_opt: 3.3759e-02 l1_latent_x4_opt: 8.1760e-01 fft_frequency_x4_opt: 6.1230e-01 aux_downsample_x4_opt: 6.7342e-02 hf_pixel_x4_opt: 3.7106e-02 +2025-11-04 19:34:07,213 INFO: [39..][epoch: 0, step: 4,800, lr:(5.000e-04,)] [eta: 1 day, 21:10:00, time (data): 1.350 (0.000)] l1_latent_x2_opt: 7.1616e-01 fft_frequency_x2_opt: 5.2319e-01 aux_downsample_x2_opt: 5.3919e-02 hf_pixel_x2_opt: 3.5840e-02 l1_latent_x4_opt: 8.1068e-01 fft_frequency_x4_opt: 6.0986e-01 aux_downsample_x4_opt: 6.6938e-02 hf_pixel_x4_opt: 3.6482e-02 +2025-11-04 19:36:22,310 INFO: [39..][epoch: 0, step: 4,900, lr:(5.000e-04,)] [eta: 1 day, 21:07:40, time (data): 1.351 (0.000)] l1_latent_x2_opt: 7.1679e-01 fft_frequency_x2_opt: 5.1318e-01 aux_downsample_x2_opt: 5.6177e-02 hf_pixel_x2_opt: 3.4949e-02 l1_latent_x4_opt: 8.1787e-01 fft_frequency_x4_opt: 6.0840e-01 aux_downsample_x4_opt: 7.0094e-02 hf_pixel_x4_opt: 3.6273e-02 +2025-11-04 19:38:38,266 INFO: [39..][epoch: 0, step: 5,000, lr:(5.000e-04,)] [eta: 1 day, 21:05:41, time (data): 1.356 (0.000)] l1_latent_x2_opt: 7.1474e-01 fft_frequency_x2_opt: 5.1758e-01 aux_downsample_x2_opt: 5.4436e-02 hf_pixel_x2_opt: 3.5155e-02 l1_latent_x4_opt: 8.0913e-01 fft_frequency_x4_opt: 6.1084e-01 aux_downsample_x4_opt: 6.8508e-02 hf_pixel_x4_opt: 3.6914e-02 +2025-11-04 19:38:38,267 INFO: Saving models and training states. +2025-11-04 19:40:55,716 INFO: Validation val_x2 + # l1_latent: 0.7662 Best: 0.7662 @ 5000 iter + # pixel_psnr_pt: 28.7766 Best: 28.7766 @ 5000 iter + +2025-11-04 19:43:28,886 INFO: Validation val_x4 + # l1_latent: 0.8514 Best: 0.8514 @ 5000 iter + # l2_latent: 1.1908 Best: 1.1908 @ 5000 iter + # pixel_psnr_pt: 26.3475 Best: 26.3475 @ 5000 iter + diff --git a/04_11_2025/39_archived_20251104_213142/basicsr_options.yaml b/04_11_2025/39_archived_20251104_213142/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..e0475094ec148c6b0c4b2a970cd2daa252eb2510 --- /dev/null +++ b/04_11_2025/39_archived_20251104_213142/basicsr_options.yaml @@ -0,0 +1,260 @@ +# GENERATE TIME: Tue Nov 4 21:29:58 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: ./runs/04_11_2025/39/models/net_g_5000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '39' +name: '39' diff --git a/04_11_2025/39_archived_20251104_213142/train_39_20251104_212958.log b/04_11_2025/39_archived_20251104_213142/train_39_20251104_212958.log new file mode 100644 index 0000000000000000000000000000000000000000..a6a4c3434e962255fd444ccc7d10617376a492fb --- /dev/null +++ b/04_11_2025/39_archived_20251104_213142/train_39_20251104_212958.log @@ -0,0 +1,601 @@ +2025-11-04 21:29:58,712 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-04 21:29:58,712 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 8 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + head_num_feat: 128 + primary_head: x4 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: ./runs/04_11_2025/39/models/net_g_5000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + models: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/04_11_2025/39/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: [0.9, 0.995] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_latent_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x2_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x2_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + kernel_size: 5 + sigma: 1.0 + ] + l1_latent_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + aux_downsample_x4_opt:[ + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + down_factor: 2 + mode: bicubic + ] + hf_pixel_x4_opt:[ + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + kernel_size: 5 + sigma: 1.0 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 39 + name: 39 + dist: True + rank: 0 + world_size: 8 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-04 21:30:00,381 INFO: Use wandb logger with id=u9urcy9z; project=Swin2SR-Latent-SR. +2025-11-04 21:30:13,034 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-04 21:30:13,035 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 10 + World size (gpu number): 8 + Steps per epoch: 60732 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-11-04 21:30:13,039 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-04 21:30:13,039 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-04 21:30:13,169 INFO: Network [SwinIRMultiHead] is created. +2025-11-04 21:30:15,363 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-04 21:30:15,364 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) diff --git a/05_11_2025/40/basicsr_options.yaml b/05_11_2025/40/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..f842e097ecb8af5bbedf03c5660d3bc9f8a7de27 --- /dev/null +++ b/05_11_2025/40/basicsr_options.yaml @@ -0,0 +1,243 @@ +# GENERATE TIME: Wed Nov 5 16:51:50 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '40' +name: '40' diff --git a/05_11_2025/40/train_40_20251105_165150.log b/05_11_2025/40/train_40_20251105_165150.log new file mode 100644 index 0000000000000000000000000000000000000000..26efe4a55be99fe8c99fc15bd204281e0c5d0388 --- /dev/null +++ b/05_11_2025/40/train_40_20251105_165150.log @@ -0,0 +1,4815 @@ +2025-11-05 16:51:50,195 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-05 16:51:50,196 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 8 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40 + models: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 40 + name: 40 + dist: True + rank: 0 + world_size: 8 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-05 16:51:51,787 INFO: Use wandb logger with id=cihauol1; project=Swin2SR-Latent-SR. +2025-11-05 16:52:05,063 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-05 16:52:05,065 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 8 + Steps per epoch: 50610 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-11-05 16:52:05,069 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-05 16:52:05,069 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-05 16:52:05,200 INFO: Network [SwinIRMultiHead] is created. +2025-11-05 16:52:07,450 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-05 16:52:07,450 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-05 16:52:07,523 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39/models/net_g_45000.pth [key=params]. +2025-11-05 16:52:07,552 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-05 16:52:07,554 INFO: Use EMA with decay: 0.999 +2025-11-05 16:52:07,744 INFO: Network [SwinIRMultiHead] is created. +2025-11-05 16:52:07,830 INFO: Loading: params_ema does not exist, use params. +2025-11-05 16:52:07,830 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39/models/net_g_45000.pth [key=params]. +2025-11-05 16:52:07,850 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-05 16:52:07,852 INFO: Loss [Eagle_Loss] is created. +2025-11-05 16:52:07,852 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-11-05 16:52:07,853 INFO: Loss [L1Loss] is created. +2025-11-05 16:52:07,853 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-05 16:52:07,854 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-05 16:52:07,854 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-05 16:52:07,855 INFO: Loss [Eagle_Loss] is created. +2025-11-05 16:52:07,856 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-05 16:52:07,857 INFO: Loss [L1Loss] is created. +2025-11-05 16:52:07,858 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-05 16:52:07,859 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-05 16:52:07,859 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-05 16:52:07,862 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-05 16:52:07,862 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-05 16:52:07,863 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-05 16:53:24,201 INFO: Start training from epoch: 0, step: 0 +2025-11-05 16:53:26,017 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-05 16:55:55,505 INFO: [40..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 22:37:17, time (data): 1.513 (0.013)] eagle_pixel_x2_opt: 5.1052e+00 l1_pixel_x2_opt: 3.7411e-02 fft_frequency_x2_opt: 3.4984e-02 eagle_pixel_x4_opt: 7.2087e+00 l1_pixel_x4_opt: 5.4011e-02 fft_frequency_x4_opt: 4.5777e-02 +2025-11-05 16:58:11,482 INFO: [40..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 22:51:35, time (data): 1.436 (0.006)] eagle_pixel_x2_opt: 5.9804e+00 l1_pixel_x2_opt: 4.2924e-02 fft_frequency_x2_opt: 4.0661e-02 eagle_pixel_x4_opt: 8.5869e+00 l1_pixel_x4_opt: 6.3185e-02 fft_frequency_x4_opt: 5.5165e-02 +2025-11-05 17:00:27,683 INFO: [40..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 1 day, 22:56:25, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 5.5901e+00 l1_pixel_x2_opt: 3.7677e-02 fft_frequency_x2_opt: 3.4119e-02 eagle_pixel_x4_opt: 8.1152e+00 l1_pixel_x4_opt: 5.9943e-02 fft_frequency_x4_opt: 4.8348e-02 +2025-11-05 17:02:44,889 INFO: [40..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 1 day, 23:02:55, time (data): 1.367 (0.000)] eagle_pixel_x2_opt: 4.5950e+00 l1_pixel_x2_opt: 3.7965e-02 fft_frequency_x2_opt: 3.3766e-02 eagle_pixel_x4_opt: 6.8105e+00 l1_pixel_x4_opt: 5.6629e-02 fft_frequency_x4_opt: 4.6665e-02 +2025-11-05 17:05:01,157 INFO: [40..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 1 day, 23:02:02, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 5.0030e+00 l1_pixel_x2_opt: 3.5852e-02 fft_frequency_x2_opt: 3.3524e-02 eagle_pixel_x4_opt: 7.5516e+00 l1_pixel_x4_opt: 5.6429e-02 fft_frequency_x4_opt: 4.7522e-02 +2025-11-05 17:07:17,396 INFO: [40..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 1 day, 23:00:35, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.9109e+00 l1_pixel_x2_opt: 3.8110e-02 fft_frequency_x2_opt: 3.3930e-02 eagle_pixel_x4_opt: 7.5267e+00 l1_pixel_x4_opt: 5.9137e-02 fft_frequency_x4_opt: 4.7593e-02 +2025-11-05 17:09:34,182 INFO: [40..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 1 day, 23:00:30, time (data): 1.368 (0.000)] eagle_pixel_x2_opt: 4.7913e+00 l1_pixel_x2_opt: 4.0173e-02 fft_frequency_x2_opt: 3.3867e-02 eagle_pixel_x4_opt: 7.0258e+00 l1_pixel_x4_opt: 6.4941e-02 fft_frequency_x4_opt: 4.7514e-02 +2025-11-05 17:11:52,024 INFO: [40..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 1 day, 23:02:37, time (data): 1.373 (0.000)] eagle_pixel_x2_opt: 4.9681e+00 l1_pixel_x2_opt: 3.8426e-02 fft_frequency_x2_opt: 3.3737e-02 eagle_pixel_x4_opt: 7.6951e+00 l1_pixel_x4_opt: 5.9827e-02 fft_frequency_x4_opt: 4.7514e-02 +2025-11-05 17:14:08,559 INFO: [40..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 1 day, 23:00:45, time (data): 1.365 (0.000)] eagle_pixel_x2_opt: 3.6055e+00 l1_pixel_x2_opt: 3.2665e-02 fft_frequency_x2_opt: 2.9624e-02 eagle_pixel_x4_opt: 5.6033e+00 l1_pixel_x4_opt: 5.0185e-02 fft_frequency_x4_opt: 4.1368e-02 +2025-11-05 17:16:25,152 INFO: [40..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 1 day, 22:58:55, time (data): 1.366 (0.000)] eagle_pixel_x2_opt: 4.9878e+00 l1_pixel_x2_opt: 3.8666e-02 fft_frequency_x2_opt: 3.3733e-02 eagle_pixel_x4_opt: 7.7759e+00 l1_pixel_x4_opt: 5.8223e-02 fft_frequency_x4_opt: 4.8065e-02 +2025-11-05 17:18:40,950 INFO: [40..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 1 day, 22:55:31, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.4303e+00 l1_pixel_x2_opt: 3.4706e-02 fft_frequency_x2_opt: 3.2293e-02 eagle_pixel_x4_opt: 6.8873e+00 l1_pixel_x4_opt: 5.3289e-02 fft_frequency_x4_opt: 4.5811e-02 +2025-11-05 17:20:57,418 INFO: [40..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 1 day, 22:53:27, time (data): 1.361 (0.000)] eagle_pixel_x2_opt: 4.2009e+00 l1_pixel_x2_opt: 3.2415e-02 fft_frequency_x2_opt: 3.0019e-02 eagle_pixel_x4_opt: 6.6989e+00 l1_pixel_x4_opt: 4.9808e-02 fft_frequency_x4_opt: 4.2719e-02 +2025-11-05 17:23:13,572 INFO: [40..][epoch: 0, step: 1,300, lr:(2.000e-04,)] [eta: 1 day, 22:50:51, time (data): 1.360 (0.000)] eagle_pixel_x2_opt: 4.8598e+00 l1_pixel_x2_opt: 3.5095e-02 fft_frequency_x2_opt: 3.2801e-02 eagle_pixel_x4_opt: 7.5578e+00 l1_pixel_x4_opt: 5.3910e-02 fft_frequency_x4_opt: 4.6042e-02 +2025-11-05 17:25:30,250 INFO: [40..][epoch: 0, step: 1,400, lr:(2.000e-04,)] [eta: 1 day, 22:49:05, time (data): 1.363 (0.000)] eagle_pixel_x2_opt: 4.2177e+00 l1_pixel_x2_opt: 3.4396e-02 fft_frequency_x2_opt: 3.0986e-02 eagle_pixel_x4_opt: 6.6179e+00 l1_pixel_x4_opt: 5.2730e-02 fft_frequency_x4_opt: 4.3534e-02 +2025-11-05 17:27:47,289 INFO: [40..][epoch: 0, step: 1,500, lr:(2.000e-04,)] [eta: 1 day, 22:47:44, time (data): 1.371 (0.000)] eagle_pixel_x2_opt: 4.5135e+00 l1_pixel_x2_opt: 3.5210e-02 fft_frequency_x2_opt: 3.0911e-02 eagle_pixel_x4_opt: 6.9331e+00 l1_pixel_x4_opt: 5.5578e-02 fft_frequency_x4_opt: 4.4011e-02 +2025-11-05 17:30:03,022 INFO: [40..][epoch: 0, step: 1,600, lr:(2.000e-04,)] [eta: 1 day, 22:44:35, time (data): 1.364 (0.000)] eagle_pixel_x2_opt: 4.7303e+00 l1_pixel_x2_opt: 3.6690e-02 fft_frequency_x2_opt: 3.4370e-02 eagle_pixel_x4_opt: 7.3992e+00 l1_pixel_x4_opt: 5.5752e-02 fft_frequency_x4_opt: 4.8131e-02 +2025-11-05 17:32:19,537 INFO: [40..][epoch: 0, step: 1,700, lr:(2.000e-04,)] [eta: 1 day, 22:42:30, time (data): 1.366 (0.000)] eagle_pixel_x2_opt: 4.3866e+00 l1_pixel_x2_opt: 3.3098e-02 fft_frequency_x2_opt: 3.0721e-02 eagle_pixel_x4_opt: 6.6871e+00 l1_pixel_x4_opt: 5.0572e-02 fft_frequency_x4_opt: 4.2695e-02 +2025-11-05 17:34:37,406 INFO: [40..][epoch: 0, step: 1,800, lr:(2.000e-04,)] [eta: 1 day, 22:41:55, time (data): 1.373 (0.000)] eagle_pixel_x2_opt: 4.4893e+00 l1_pixel_x2_opt: 3.7365e-02 fft_frequency_x2_opt: 3.3794e-02 eagle_pixel_x4_opt: 7.1133e+00 l1_pixel_x4_opt: 5.6851e-02 fft_frequency_x4_opt: 4.7211e-02 +2025-11-05 17:36:54,917 INFO: [40..][epoch: 0, step: 1,900, lr:(2.000e-04,)] [eta: 1 day, 22:40:47, time (data): 1.374 (0.000)] eagle_pixel_x2_opt: 3.9922e+00 l1_pixel_x2_opt: 3.7079e-02 fft_frequency_x2_opt: 3.1928e-02 eagle_pixel_x4_opt: 6.1806e+00 l1_pixel_x4_opt: 5.6511e-02 fft_frequency_x4_opt: 4.4600e-02 +2025-11-05 17:39:10,805 INFO: [40..][epoch: 0, step: 2,000, lr:(2.000e-04,)] [eta: 1 day, 22:37:52, time (data): 1.366 (0.000)] eagle_pixel_x2_opt: 3.8900e+00 l1_pixel_x2_opt: 3.3141e-02 fft_frequency_x2_opt: 2.9319e-02 eagle_pixel_x4_opt: 6.2989e+00 l1_pixel_x4_opt: 5.1284e-02 fft_frequency_x4_opt: 4.1538e-02 +2025-11-05 17:41:26,426 INFO: [40..][epoch: 0, step: 2,100, lr:(2.000e-04,)] [eta: 1 day, 22:34:45, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.5096e+00 l1_pixel_x2_opt: 3.6006e-02 fft_frequency_x2_opt: 3.2958e-02 eagle_pixel_x4_opt: 7.1344e+00 l1_pixel_x4_opt: 5.5524e-02 fft_frequency_x4_opt: 4.6343e-02 +2025-11-05 17:43:42,064 INFO: [40..][epoch: 0, step: 2,200, lr:(2.000e-04,)] [eta: 1 day, 22:31:44, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.6872e+00 l1_pixel_x2_opt: 3.6637e-02 fft_frequency_x2_opt: 3.2266e-02 eagle_pixel_x4_opt: 7.6903e+00 l1_pixel_x4_opt: 5.8063e-02 fft_frequency_x4_opt: 4.6265e-02 +2025-11-05 17:45:57,920 INFO: [40..][epoch: 0, step: 2,300, lr:(2.000e-04,)] [eta: 1 day, 22:28:58, time (data): 1.359 (0.000)] eagle_pixel_x2_opt: 4.8191e+00 l1_pixel_x2_opt: 3.7582e-02 fft_frequency_x2_opt: 3.5397e-02 eagle_pixel_x4_opt: 7.4262e+00 l1_pixel_x4_opt: 5.8988e-02 fft_frequency_x4_opt: 4.9421e-02 +2025-11-05 17:48:13,616 INFO: [40..][epoch: 0, step: 2,400, lr:(2.000e-04,)] [eta: 1 day, 22:26:07, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.1673e+00 l1_pixel_x2_opt: 3.6374e-02 fft_frequency_x2_opt: 3.1992e-02 eagle_pixel_x4_opt: 6.5233e+00 l1_pixel_x4_opt: 5.4865e-02 fft_frequency_x4_opt: 4.4686e-02 +2025-11-05 17:50:29,388 INFO: [40..][epoch: 0, step: 2,500, lr:(2.000e-04,)] [eta: 1 day, 22:23:22, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.8181e+00 l1_pixel_x2_opt: 3.5822e-02 fft_frequency_x2_opt: 3.2324e-02 eagle_pixel_x4_opt: 7.9575e+00 l1_pixel_x4_opt: 5.6068e-02 fft_frequency_x4_opt: 4.7042e-02 +2025-11-05 17:52:45,122 INFO: [40..][epoch: 0, step: 2,600, lr:(2.000e-04,)] [eta: 1 day, 22:20:38, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 4.8349e+00 l1_pixel_x2_opt: 3.6889e-02 fft_frequency_x2_opt: 3.4313e-02 eagle_pixel_x4_opt: 7.8308e+00 l1_pixel_x4_opt: 5.7103e-02 fft_frequency_x4_opt: 4.8527e-02 +2025-11-05 17:55:02,033 INFO: [40..][epoch: 0, step: 2,700, lr:(2.000e-04,)] [eta: 1 day, 22:18:49, time (data): 1.371 (0.000)] eagle_pixel_x2_opt: 4.1656e+00 l1_pixel_x2_opt: 3.1964e-02 fft_frequency_x2_opt: 3.0987e-02 eagle_pixel_x4_opt: 6.4466e+00 l1_pixel_x4_opt: 4.9546e-02 fft_frequency_x4_opt: 4.3381e-02 +2025-11-05 17:57:19,433 INFO: [40..][epoch: 0, step: 2,800, lr:(2.000e-04,)] [eta: 1 day, 22:17:19, time (data): 1.373 (0.000)] eagle_pixel_x2_opt: 4.7410e+00 l1_pixel_x2_opt: 3.6869e-02 fft_frequency_x2_opt: 3.3880e-02 eagle_pixel_x4_opt: 7.6759e+00 l1_pixel_x4_opt: 5.5802e-02 fft_frequency_x4_opt: 4.7666e-02 +2025-11-05 17:59:35,322 INFO: [40..][epoch: 0, step: 2,900, lr:(2.000e-04,)] [eta: 1 day, 22:14:43, time (data): 1.359 (0.000)] eagle_pixel_x2_opt: 4.2440e+00 l1_pixel_x2_opt: 3.3617e-02 fft_frequency_x2_opt: 3.0900e-02 eagle_pixel_x4_opt: 6.7479e+00 l1_pixel_x4_opt: 5.1229e-02 fft_frequency_x4_opt: 4.3934e-02 +2025-11-05 18:01:53,086 INFO: [40..][epoch: 0, step: 3,000, lr:(2.000e-04,)] [eta: 1 day, 22:13:24, time (data): 1.369 (0.000)] eagle_pixel_x2_opt: 5.0186e+00 l1_pixel_x2_opt: 3.7630e-02 fft_frequency_x2_opt: 3.4818e-02 eagle_pixel_x4_opt: 8.0468e+00 l1_pixel_x4_opt: 5.7613e-02 fft_frequency_x4_opt: 4.8828e-02 +2025-11-05 18:04:10,030 INFO: [40..][epoch: 0, step: 3,100, lr:(2.000e-04,)] [eta: 1 day, 22:11:29, time (data): 1.366 (0.000)] eagle_pixel_x2_opt: 4.6787e+00 l1_pixel_x2_opt: 3.6014e-02 fft_frequency_x2_opt: 3.3469e-02 eagle_pixel_x4_opt: 7.4469e+00 l1_pixel_x4_opt: 5.6059e-02 fft_frequency_x4_opt: 4.7325e-02 +2025-11-05 18:06:27,063 INFO: [40..][epoch: 0, step: 3,200, lr:(2.000e-04,)] [eta: 1 day, 22:09:36, time (data): 1.369 (0.000)] eagle_pixel_x2_opt: 5.5199e+00 l1_pixel_x2_opt: 4.0130e-02 fft_frequency_x2_opt: 3.7910e-02 eagle_pixel_x4_opt: 8.4486e+00 l1_pixel_x4_opt: 6.0378e-02 fft_frequency_x4_opt: 5.2554e-02 +2025-11-05 18:08:42,842 INFO: [40..][epoch: 0, step: 3,300, lr:(2.000e-04,)] [eta: 1 day, 22:06:55, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.4803e+00 l1_pixel_x2_opt: 3.5844e-02 fft_frequency_x2_opt: 3.2421e-02 eagle_pixel_x4_opt: 7.0807e+00 l1_pixel_x4_opt: 5.4249e-02 fft_frequency_x4_opt: 4.5573e-02 +2025-11-05 18:10:58,698 INFO: [40..][epoch: 0, step: 3,400, lr:(2.000e-04,)] [eta: 1 day, 22:04:19, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.3472e+00 l1_pixel_x2_opt: 3.6944e-02 fft_frequency_x2_opt: 3.3515e-02 eagle_pixel_x4_opt: 6.5522e+00 l1_pixel_x4_opt: 5.6317e-02 fft_frequency_x4_opt: 4.6154e-02 +2025-11-05 18:13:14,587 INFO: [40..][epoch: 0, step: 3,500, lr:(2.000e-04,)] [eta: 1 day, 22:01:45, time (data): 1.359 (0.000)] eagle_pixel_x2_opt: 4.2153e+00 l1_pixel_x2_opt: 3.2664e-02 fft_frequency_x2_opt: 2.8887e-02 eagle_pixel_x4_opt: 6.6469e+00 l1_pixel_x4_opt: 5.1475e-02 fft_frequency_x4_opt: 4.1317e-02 +2025-11-05 18:15:30,294 INFO: [40..][epoch: 0, step: 3,600, lr:(2.000e-04,)] [eta: 1 day, 21:59:06, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.6168e+00 l1_pixel_x2_opt: 3.5811e-02 fft_frequency_x2_opt: 3.3529e-02 eagle_pixel_x4_opt: 7.3333e+00 l1_pixel_x4_opt: 5.4972e-02 fft_frequency_x4_opt: 4.7636e-02 +2025-11-05 18:17:46,161 INFO: [40..][epoch: 0, step: 3,700, lr:(2.000e-04,)] [eta: 1 day, 21:56:33, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.2560e+00 l1_pixel_x2_opt: 3.6006e-02 fft_frequency_x2_opt: 3.2076e-02 eagle_pixel_x4_opt: 6.7395e+00 l1_pixel_x4_opt: 5.6157e-02 fft_frequency_x4_opt: 4.5529e-02 +2025-11-05 18:20:01,912 INFO: [40..][epoch: 0, step: 3,800, lr:(2.000e-04,)] [eta: 1 day, 21:53:57, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.0869e+00 l1_pixel_x2_opt: 3.2744e-02 fft_frequency_x2_opt: 3.0338e-02 eagle_pixel_x4_opt: 6.4953e+00 l1_pixel_x4_opt: 4.9142e-02 fft_frequency_x4_opt: 4.2603e-02 +2025-11-05 18:22:17,615 INFO: [40..][epoch: 0, step: 3,900, lr:(2.000e-04,)] [eta: 1 day, 21:51:21, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 3.9615e+00 l1_pixel_x2_opt: 3.2026e-02 fft_frequency_x2_opt: 2.9017e-02 eagle_pixel_x4_opt: 6.1253e+00 l1_pixel_x4_opt: 5.1893e-02 fft_frequency_x4_opt: 4.1261e-02 +2025-11-05 18:24:33,944 INFO: [40..][epoch: 0, step: 4,000, lr:(2.000e-04,)] [eta: 1 day, 21:49:05, time (data): 1.360 (0.000)] eagle_pixel_x2_opt: 3.9682e+00 l1_pixel_x2_opt: 3.5405e-02 fft_frequency_x2_opt: 3.2298e-02 eagle_pixel_x4_opt: 6.2006e+00 l1_pixel_x4_opt: 5.4618e-02 fft_frequency_x4_opt: 4.4796e-02 +2025-11-05 18:26:49,589 INFO: [40..][epoch: 0, step: 4,100, lr:(2.000e-04,)] [eta: 1 day, 21:46:29, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.0286e+00 l1_pixel_x2_opt: 3.2455e-02 fft_frequency_x2_opt: 3.0720e-02 eagle_pixel_x4_opt: 6.4575e+00 l1_pixel_x4_opt: 4.8852e-02 fft_frequency_x4_opt: 4.2747e-02 +2025-11-05 18:29:06,057 INFO: [40..][epoch: 0, step: 4,200, lr:(2.000e-04,)] [eta: 1 day, 21:44:17, time (data): 1.361 (0.000)] eagle_pixel_x2_opt: 4.2260e+00 l1_pixel_x2_opt: 3.6442e-02 fft_frequency_x2_opt: 3.3554e-02 eagle_pixel_x4_opt: 6.4357e+00 l1_pixel_x4_opt: 5.4747e-02 fft_frequency_x4_opt: 4.6021e-02 +2025-11-05 18:31:21,817 INFO: [40..][epoch: 0, step: 4,300, lr:(2.000e-04,)] [eta: 1 day, 21:41:46, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 4.3866e+00 l1_pixel_x2_opt: 3.3868e-02 fft_frequency_x2_opt: 3.2154e-02 eagle_pixel_x4_opt: 7.0606e+00 l1_pixel_x4_opt: 5.2453e-02 fft_frequency_x4_opt: 4.5448e-02 +2025-11-05 18:33:37,402 INFO: [40..][epoch: 0, step: 4,400, lr:(2.000e-04,)] [eta: 1 day, 21:39:10, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.1922e+00 l1_pixel_x2_opt: 3.5374e-02 fft_frequency_x2_opt: 3.1995e-02 eagle_pixel_x4_opt: 6.2570e+00 l1_pixel_x4_opt: 5.3119e-02 fft_frequency_x4_opt: 4.3509e-02 +2025-11-05 18:35:53,115 INFO: [40..][epoch: 0, step: 4,500, lr:(2.000e-04,)] [eta: 1 day, 21:36:39, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 4.7676e+00 l1_pixel_x2_opt: 3.8404e-02 fft_frequency_x2_opt: 3.4221e-02 eagle_pixel_x4_opt: 7.3673e+00 l1_pixel_x4_opt: 5.9554e-02 fft_frequency_x4_opt: 4.7916e-02 +2025-11-05 18:38:08,739 INFO: [40..][epoch: 0, step: 4,600, lr:(2.000e-04,)] [eta: 1 day, 21:34:06, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 3.9477e+00 l1_pixel_x2_opt: 3.3011e-02 fft_frequency_x2_opt: 3.0348e-02 eagle_pixel_x4_opt: 6.2763e+00 l1_pixel_x4_opt: 5.1251e-02 fft_frequency_x4_opt: 4.2884e-02 +2025-11-05 18:40:26,153 INFO: [40..][epoch: 0, step: 4,700, lr:(2.000e-04,)] [eta: 1 day, 21:32:19, time (data): 1.378 (0.000)] eagle_pixel_x2_opt: 4.2770e+00 l1_pixel_x2_opt: 3.4158e-02 fft_frequency_x2_opt: 3.0999e-02 eagle_pixel_x4_opt: 6.7844e+00 l1_pixel_x4_opt: 5.3904e-02 fft_frequency_x4_opt: 4.4279e-02 +2025-11-05 18:42:42,982 INFO: [40..][epoch: 0, step: 4,800, lr:(2.000e-04,)] [eta: 1 day, 21:30:17, time (data): 1.372 (0.000)] eagle_pixel_x2_opt: 4.3068e+00 l1_pixel_x2_opt: 3.4584e-02 fft_frequency_x2_opt: 3.1961e-02 eagle_pixel_x4_opt: 6.8477e+00 l1_pixel_x4_opt: 5.3030e-02 fft_frequency_x4_opt: 4.4860e-02 +2025-11-05 18:45:00,412 INFO: [40..][epoch: 0, step: 4,900, lr:(2.000e-04,)] [eta: 1 day, 21:28:28, time (data): 1.380 (0.000)] eagle_pixel_x2_opt: 4.6541e+00 l1_pixel_x2_opt: 3.6881e-02 fft_frequency_x2_opt: 3.2306e-02 eagle_pixel_x4_opt: 7.4468e+00 l1_pixel_x4_opt: 5.8548e-02 fft_frequency_x4_opt: 4.6569e-02 +2025-11-05 18:47:16,590 INFO: [40..][epoch: 0, step: 5,000, lr:(2.000e-04,)] [eta: 1 day, 21:26:09, time (data): 1.370 (0.000)] eagle_pixel_x2_opt: 4.8648e+00 l1_pixel_x2_opt: 3.5729e-02 fft_frequency_x2_opt: 3.2825e-02 eagle_pixel_x4_opt: 7.6471e+00 l1_pixel_x4_opt: 5.6459e-02 fft_frequency_x4_opt: 4.6716e-02 +2025-11-05 18:47:16,592 INFO: Saving models and training states. +2025-11-05 18:49:50,403 INFO: Validation val_x2 + # l1_latent: 1.4274 Best: 1.4274 @ 5000 iter + # pixel_psnr_pt: 31.9987 Best: 31.9987 @ 5000 iter + +2025-11-05 18:52:24,854 INFO: Validation val_x4 + # l1_latent: 1.5378 Best: 1.5378 @ 5000 iter + # l2_latent: 3.6874 Best: 3.6874 @ 5000 iter + # pixel_psnr_pt: 27.4793 Best: 27.4793 @ 5000 iter + +2025-11-05 18:54:41,865 INFO: [40..][epoch: 0, step: 5,100, lr:(2.000e-04,)] [eta: 1 day, 23:24:55, time (data): 1.370 (0.000)] eagle_pixel_x2_opt: 4.2013e+00 l1_pixel_x2_opt: 3.4638e-02 fft_frequency_x2_opt: 3.1596e-02 eagle_pixel_x4_opt: 6.6698e+00 l1_pixel_x4_opt: 5.3887e-02 fft_frequency_x4_opt: 4.4761e-02 +2025-11-05 18:56:58,894 INFO: [40..][epoch: 0, step: 5,200, lr:(2.000e-04,)] [eta: 1 day, 23:20:29, time (data): 1.370 (0.000)] eagle_pixel_x2_opt: 4.0894e+00 l1_pixel_x2_opt: 3.6617e-02 fft_frequency_x2_opt: 3.1489e-02 eagle_pixel_x4_opt: 6.4451e+00 l1_pixel_x4_opt: 5.6546e-02 fft_frequency_x4_opt: 4.4383e-02 +2025-11-05 18:59:16,419 INFO: [40..][epoch: 0, step: 5,300, lr:(2.000e-04,)] [eta: 1 day, 23:16:20, time (data): 1.377 (0.000)] eagle_pixel_x2_opt: 4.0541e+00 l1_pixel_x2_opt: 2.9906e-02 fft_frequency_x2_opt: 2.7457e-02 eagle_pixel_x4_opt: 6.6372e+00 l1_pixel_x4_opt: 4.7602e-02 fft_frequency_x4_opt: 3.9574e-02 +2025-11-05 19:01:33,820 INFO: [40..][epoch: 0, step: 5,400, lr:(2.000e-04,)] [eta: 1 day, 23:12:12, time (data): 1.375 (0.000)] eagle_pixel_x2_opt: 4.6702e+00 l1_pixel_x2_opt: 3.8586e-02 fft_frequency_x2_opt: 3.5377e-02 eagle_pixel_x4_opt: 7.3555e+00 l1_pixel_x4_opt: 5.7965e-02 fft_frequency_x4_opt: 4.9384e-02 +2025-11-05 19:03:50,698 INFO: [40..][epoch: 0, step: 5,500, lr:(2.000e-04,)] [eta: 1 day, 23:07:57, time (data): 1.366 (0.000)] eagle_pixel_x2_opt: 4.3093e+00 l1_pixel_x2_opt: 3.5623e-02 fft_frequency_x2_opt: 3.2877e-02 eagle_pixel_x4_opt: 6.6647e+00 l1_pixel_x4_opt: 5.4686e-02 fft_frequency_x4_opt: 4.5837e-02 +2025-11-05 19:06:07,211 INFO: [40..][epoch: 0, step: 5,600, lr:(2.000e-04,)] [eta: 1 day, 23:03:38, time (data): 1.366 (0.000)] eagle_pixel_x2_opt: 4.7162e+00 l1_pixel_x2_opt: 3.8544e-02 fft_frequency_x2_opt: 3.4921e-02 eagle_pixel_x4_opt: 7.4286e+00 l1_pixel_x4_opt: 5.7984e-02 fft_frequency_x4_opt: 4.8760e-02 +2025-11-05 19:08:24,015 INFO: [40..][epoch: 0, step: 5,700, lr:(2.000e-04,)] [eta: 1 day, 22:59:30, time (data): 1.368 (0.000)] eagle_pixel_x2_opt: 3.8672e+00 l1_pixel_x2_opt: 3.0002e-02 fft_frequency_x2_opt: 2.8118e-02 eagle_pixel_x4_opt: 6.3128e+00 l1_pixel_x4_opt: 4.8104e-02 fft_frequency_x4_opt: 4.0424e-02 +2025-11-05 19:10:40,775 INFO: [40..][epoch: 0, step: 5,800, lr:(2.000e-04,)] [eta: 1 day, 22:55:25, time (data): 1.368 (0.000)] eagle_pixel_x2_opt: 4.4575e+00 l1_pixel_x2_opt: 3.8527e-02 fft_frequency_x2_opt: 3.4891e-02 eagle_pixel_x4_opt: 7.2639e+00 l1_pixel_x4_opt: 5.7084e-02 fft_frequency_x4_opt: 4.8495e-02 +2025-11-05 19:12:57,443 INFO: [40..][epoch: 0, step: 5,900, lr:(2.000e-04,)] [eta: 1 day, 22:51:21, time (data): 1.368 (0.000)] eagle_pixel_x2_opt: 4.0977e+00 l1_pixel_x2_opt: 3.6173e-02 fft_frequency_x2_opt: 3.1040e-02 eagle_pixel_x4_opt: 6.5496e+00 l1_pixel_x4_opt: 5.6194e-02 fft_frequency_x4_opt: 4.4347e-02 +2025-11-05 19:15:13,430 INFO: [40..][epoch: 0, step: 6,000, lr:(2.000e-04,)] [eta: 1 day, 22:47:07, time (data): 1.363 (0.000)] eagle_pixel_x2_opt: 4.8914e+00 l1_pixel_x2_opt: 3.2938e-02 fft_frequency_x2_opt: 3.2699e-02 eagle_pixel_x4_opt: 7.6789e+00 l1_pixel_x4_opt: 5.0150e-02 fft_frequency_x4_opt: 4.5398e-02 +2025-11-05 19:17:29,251 INFO: [40..][epoch: 0, step: 6,100, lr:(2.000e-04,)] [eta: 1 day, 22:42:54, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 3.5019e+00 l1_pixel_x2_opt: 3.1085e-02 fft_frequency_x2_opt: 2.7567e-02 eagle_pixel_x4_opt: 5.5527e+00 l1_pixel_x4_opt: 4.7881e-02 fft_frequency_x4_opt: 3.9261e-02 +2025-11-05 19:19:45,202 INFO: [40..][epoch: 0, step: 6,200, lr:(2.000e-04,)] [eta: 1 day, 22:38:48, time (data): 1.359 (0.000)] eagle_pixel_x2_opt: 4.4109e+00 l1_pixel_x2_opt: 3.5633e-02 fft_frequency_x2_opt: 3.3468e-02 eagle_pixel_x4_opt: 6.8388e+00 l1_pixel_x4_opt: 5.3316e-02 fft_frequency_x4_opt: 4.6365e-02 +2025-11-05 19:22:01,150 INFO: [40..][epoch: 0, step: 6,300, lr:(2.000e-04,)] [eta: 1 day, 22:34:45, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.5882e+00 l1_pixel_x2_opt: 3.5352e-02 fft_frequency_x2_opt: 3.2392e-02 eagle_pixel_x4_opt: 7.1261e+00 l1_pixel_x4_opt: 5.4590e-02 fft_frequency_x4_opt: 4.5129e-02 +2025-11-05 19:24:16,965 INFO: [40..][epoch: 0, step: 6,400, lr:(2.000e-04,)] [eta: 1 day, 22:30:42, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 4.4989e+00 l1_pixel_x2_opt: 3.5979e-02 fft_frequency_x2_opt: 3.2480e-02 eagle_pixel_x4_opt: 7.0068e+00 l1_pixel_x4_opt: 5.4812e-02 fft_frequency_x4_opt: 4.5550e-02 +2025-11-05 19:26:32,553 INFO: [40..][epoch: 0, step: 6,500, lr:(2.000e-04,)] [eta: 1 day, 22:26:39, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.4523e+00 l1_pixel_x2_opt: 3.4098e-02 fft_frequency_x2_opt: 3.1786e-02 eagle_pixel_x4_opt: 7.2728e+00 l1_pixel_x4_opt: 5.3942e-02 fft_frequency_x4_opt: 4.5582e-02 +2025-11-05 19:28:48,153 INFO: [40..][epoch: 0, step: 6,600, lr:(2.000e-04,)] [eta: 1 day, 22:22:39, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.4073e+00 l1_pixel_x2_opt: 3.6027e-02 fft_frequency_x2_opt: 3.2890e-02 eagle_pixel_x4_opt: 6.8971e+00 l1_pixel_x4_opt: 5.6198e-02 fft_frequency_x4_opt: 4.6101e-02 +2025-11-05 19:31:03,720 INFO: [40..][epoch: 0, step: 6,700, lr:(2.000e-04,)] [eta: 1 day, 22:18:42, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.5115e+00 l1_pixel_x2_opt: 3.7964e-02 fft_frequency_x2_opt: 3.5289e-02 eagle_pixel_x4_opt: 7.1792e+00 l1_pixel_x4_opt: 5.7906e-02 fft_frequency_x4_opt: 4.8681e-02 +2025-11-05 19:33:19,225 INFO: [40..][epoch: 0, step: 6,800, lr:(2.000e-04,)] [eta: 1 day, 22:14:47, time (data): 1.355 (0.000)] eagle_pixel_x2_opt: 4.6723e+00 l1_pixel_x2_opt: 3.5536e-02 fft_frequency_x2_opt: 3.3540e-02 eagle_pixel_x4_opt: 7.5164e+00 l1_pixel_x4_opt: 5.5208e-02 fft_frequency_x4_opt: 4.7083e-02 +2025-11-05 19:35:34,842 INFO: [40..][epoch: 0, step: 6,900, lr:(2.000e-04,)] [eta: 1 day, 22:10:56, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 4.2302e+00 l1_pixel_x2_opt: 3.4170e-02 fft_frequency_x2_opt: 3.1617e-02 eagle_pixel_x4_opt: 6.7696e+00 l1_pixel_x4_opt: 5.2784e-02 fft_frequency_x4_opt: 4.3926e-02 +2025-11-05 19:37:51,377 INFO: [40..][epoch: 0, step: 7,000, lr:(2.000e-04,)] [eta: 1 day, 22:07:24, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.2704e+00 l1_pixel_x2_opt: 3.4474e-02 fft_frequency_x2_opt: 3.0961e-02 eagle_pixel_x4_opt: 6.9178e+00 l1_pixel_x4_opt: 5.4039e-02 fft_frequency_x4_opt: 4.4377e-02 +2025-11-05 19:40:08,245 INFO: [40..][epoch: 0, step: 7,100, lr:(2.000e-04,)] [eta: 1 day, 22:03:59, time (data): 1.367 (0.000)] eagle_pixel_x2_opt: 4.7149e+00 l1_pixel_x2_opt: 3.4678e-02 fft_frequency_x2_opt: 3.3119e-02 eagle_pixel_x4_opt: 7.7180e+00 l1_pixel_x4_opt: 5.5605e-02 fft_frequency_x4_opt: 4.7246e-02 +2025-11-05 19:42:24,117 INFO: [40..][epoch: 0, step: 7,200, lr:(2.000e-04,)] [eta: 1 day, 22:00:20, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.0963e+00 l1_pixel_x2_opt: 3.3279e-02 fft_frequency_x2_opt: 3.0327e-02 eagle_pixel_x4_opt: 6.4772e+00 l1_pixel_x4_opt: 5.1480e-02 fft_frequency_x4_opt: 4.2587e-02 +2025-11-05 19:44:39,777 INFO: [40..][epoch: 0, step: 7,300, lr:(2.000e-04,)] [eta: 1 day, 21:56:40, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 4.9438e+00 l1_pixel_x2_opt: 3.9338e-02 fft_frequency_x2_opt: 3.6068e-02 eagle_pixel_x4_opt: 7.9377e+00 l1_pixel_x4_opt: 5.9240e-02 fft_frequency_x4_opt: 5.0135e-02 +2025-11-05 19:46:56,227 INFO: [40..][epoch: 0, step: 7,400, lr:(2.000e-04,)] [eta: 1 day, 21:53:15, time (data): 1.361 (0.000)] eagle_pixel_x2_opt: 4.3991e+00 l1_pixel_x2_opt: 3.6077e-02 fft_frequency_x2_opt: 3.2935e-02 eagle_pixel_x4_opt: 6.8748e+00 l1_pixel_x4_opt: 5.4688e-02 fft_frequency_x4_opt: 4.6119e-02 +2025-11-05 19:49:12,301 INFO: [40..][epoch: 0, step: 7,500, lr:(2.000e-04,)] [eta: 1 day, 21:49:46, time (data): 1.355 (0.000)] eagle_pixel_x2_opt: 4.0199e+00 l1_pixel_x2_opt: 3.1388e-02 fft_frequency_x2_opt: 3.0424e-02 eagle_pixel_x4_opt: 6.4771e+00 l1_pixel_x4_opt: 4.7228e-02 fft_frequency_x4_opt: 4.2391e-02 +2025-11-05 19:51:28,584 INFO: [40..][epoch: 0, step: 7,600, lr:(2.000e-04,)] [eta: 1 day, 21:46:21, time (data): 1.360 (0.000)] eagle_pixel_x2_opt: 4.0964e+00 l1_pixel_x2_opt: 3.3353e-02 fft_frequency_x2_opt: 2.9573e-02 eagle_pixel_x4_opt: 6.5718e+00 l1_pixel_x4_opt: 5.1232e-02 fft_frequency_x4_opt: 4.1783e-02 +2025-11-05 19:53:44,291 INFO: [40..][epoch: 0, step: 7,700, lr:(2.000e-04,)] [eta: 1 day, 21:42:50, time (data): 1.355 (0.000)] eagle_pixel_x2_opt: 4.5345e+00 l1_pixel_x2_opt: 3.4816e-02 fft_frequency_x2_opt: 3.1711e-02 eagle_pixel_x4_opt: 7.2562e+00 l1_pixel_x4_opt: 5.3587e-02 fft_frequency_x4_opt: 4.4757e-02 +2025-11-05 19:56:00,363 INFO: [40..][epoch: 0, step: 7,800, lr:(2.000e-04,)] [eta: 1 day, 21:39:26, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.2738e+00 l1_pixel_x2_opt: 3.5174e-02 fft_frequency_x2_opt: 3.2210e-02 eagle_pixel_x4_opt: 6.7538e+00 l1_pixel_x4_opt: 5.3332e-02 fft_frequency_x4_opt: 4.5262e-02 +2025-11-05 19:58:16,258 INFO: [40..][epoch: 0, step: 7,900, lr:(2.000e-04,)] [eta: 1 day, 21:36:02, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.3014e+00 l1_pixel_x2_opt: 3.3013e-02 fft_frequency_x2_opt: 3.1007e-02 eagle_pixel_x4_opt: 6.9441e+00 l1_pixel_x4_opt: 5.0646e-02 fft_frequency_x4_opt: 4.4141e-02 +2025-11-05 20:00:32,231 INFO: [40..][epoch: 0, step: 8,000, lr:(2.000e-04,)] [eta: 1 day, 21:32:40, time (data): 1.361 (0.000)] eagle_pixel_x2_opt: 4.3925e+00 l1_pixel_x2_opt: 3.7754e-02 fft_frequency_x2_opt: 3.4013e-02 eagle_pixel_x4_opt: 6.8267e+00 l1_pixel_x4_opt: 5.6820e-02 fft_frequency_x4_opt: 4.7637e-02 +2025-11-05 20:02:49,229 INFO: [40..][epoch: 0, step: 8,100, lr:(2.000e-04,)] [eta: 1 day, 21:29:34, time (data): 1.379 (0.000)] eagle_pixel_x2_opt: 4.4795e+00 l1_pixel_x2_opt: 3.6912e-02 fft_frequency_x2_opt: 3.2846e-02 eagle_pixel_x4_opt: 7.0826e+00 l1_pixel_x4_opt: 5.5588e-02 fft_frequency_x4_opt: 4.6246e-02 +2025-11-05 20:05:06,186 INFO: [40..][epoch: 0, step: 8,200, lr:(2.000e-04,)] [eta: 1 day, 21:26:29, time (data): 1.373 (0.000)] eagle_pixel_x2_opt: 4.5595e+00 l1_pixel_x2_opt: 3.7047e-02 fft_frequency_x2_opt: 3.3238e-02 eagle_pixel_x4_opt: 7.0865e+00 l1_pixel_x4_opt: 5.7322e-02 fft_frequency_x4_opt: 4.6883e-02 +2025-11-05 20:07:23,460 INFO: [40..][epoch: 0, step: 8,300, lr:(2.000e-04,)] [eta: 1 day, 21:23:30, time (data): 1.374 (0.000)] eagle_pixel_x2_opt: 4.9528e+00 l1_pixel_x2_opt: 3.6717e-02 fft_frequency_x2_opt: 3.3565e-02 eagle_pixel_x4_opt: 7.8123e+00 l1_pixel_x4_opt: 5.8259e-02 fft_frequency_x4_opt: 4.7851e-02 +2025-11-05 20:09:39,845 INFO: [40..][epoch: 0, step: 8,400, lr:(2.000e-04,)] [eta: 1 day, 21:20:20, time (data): 1.368 (0.000)] eagle_pixel_x2_opt: 4.9632e+00 l1_pixel_x2_opt: 3.8271e-02 fft_frequency_x2_opt: 3.5700e-02 eagle_pixel_x4_opt: 8.0402e+00 l1_pixel_x4_opt: 5.7792e-02 fft_frequency_x4_opt: 4.9823e-02 +2025-11-05 20:11:55,554 INFO: [40..][epoch: 0, step: 8,500, lr:(2.000e-04,)] [eta: 1 day, 21:17:01, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.3158e+00 l1_pixel_x2_opt: 3.3354e-02 fft_frequency_x2_opt: 3.0582e-02 eagle_pixel_x4_opt: 6.7312e+00 l1_pixel_x4_opt: 5.2136e-02 fft_frequency_x4_opt: 4.3318e-02 +2025-11-05 20:14:12,456 INFO: [40..][epoch: 0, step: 8,600, lr:(2.000e-04,)] [eta: 1 day, 21:14:00, time (data): 1.365 (0.000)] eagle_pixel_x2_opt: 4.3898e+00 l1_pixel_x2_opt: 3.4732e-02 fft_frequency_x2_opt: 3.1813e-02 eagle_pixel_x4_opt: 7.0618e+00 l1_pixel_x4_opt: 5.3224e-02 fft_frequency_x4_opt: 4.5383e-02 +2025-11-05 20:16:28,371 INFO: [40..][epoch: 0, step: 8,700, lr:(2.000e-04,)] [eta: 1 day, 21:10:47, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.3481e+00 l1_pixel_x2_opt: 3.5969e-02 fft_frequency_x2_opt: 3.3968e-02 eagle_pixel_x4_opt: 6.9065e+00 l1_pixel_x4_opt: 5.4646e-02 fft_frequency_x4_opt: 4.7018e-02 +2025-11-05 20:18:44,034 INFO: [40..][epoch: 0, step: 8,800, lr:(2.000e-04,)] [eta: 1 day, 21:07:32, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.8346e+00 l1_pixel_x2_opt: 3.6615e-02 fft_frequency_x2_opt: 3.3029e-02 eagle_pixel_x4_opt: 7.6995e+00 l1_pixel_x4_opt: 5.7083e-02 fft_frequency_x4_opt: 4.7199e-02 +2025-11-05 20:20:59,788 INFO: [40..][epoch: 0, step: 8,900, lr:(2.000e-04,)] [eta: 1 day, 21:04:19, time (data): 1.357 (0.000)] eagle_pixel_x2_opt: 3.6441e+00 l1_pixel_x2_opt: 3.3031e-02 fft_frequency_x2_opt: 3.0436e-02 eagle_pixel_x4_opt: 5.6938e+00 l1_pixel_x4_opt: 4.9602e-02 fft_frequency_x4_opt: 4.2449e-02 +2025-11-05 20:23:16,259 INFO: [40..][epoch: 0, step: 9,000, lr:(2.000e-04,)] [eta: 1 day, 21:01:17, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.0948e+00 l1_pixel_x2_opt: 3.4004e-02 fft_frequency_x2_opt: 3.0832e-02 eagle_pixel_x4_opt: 6.4408e+00 l1_pixel_x4_opt: 5.1674e-02 fft_frequency_x4_opt: 4.3500e-02 +2025-11-05 20:25:32,416 INFO: [40..][epoch: 0, step: 9,100, lr:(2.000e-04,)] [eta: 1 day, 20:58:12, time (data): 1.365 (0.000)] eagle_pixel_x2_opt: 4.0023e+00 l1_pixel_x2_opt: 3.5418e-02 fft_frequency_x2_opt: 3.1269e-02 eagle_pixel_x4_opt: 6.2910e+00 l1_pixel_x4_opt: 5.3529e-02 fft_frequency_x4_opt: 4.3577e-02 +2025-11-05 20:27:48,453 INFO: [40..][epoch: 0, step: 9,200, lr:(2.000e-04,)] [eta: 1 day, 20:55:06, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 3.6783e+00 l1_pixel_x2_opt: 3.0826e-02 fft_frequency_x2_opt: 2.8156e-02 eagle_pixel_x4_opt: 5.8452e+00 l1_pixel_x4_opt: 4.8551e-02 fft_frequency_x4_opt: 3.9752e-02 +2025-11-05 20:30:04,770 INFO: [40..][epoch: 0, step: 9,300, lr:(2.000e-04,)] [eta: 1 day, 20:52:05, time (data): 1.359 (0.000)] eagle_pixel_x2_opt: 4.6228e+00 l1_pixel_x2_opt: 3.6013e-02 fft_frequency_x2_opt: 3.2170e-02 eagle_pixel_x4_opt: 7.1978e+00 l1_pixel_x4_opt: 5.6947e-02 fft_frequency_x4_opt: 4.5827e-02 +2025-11-05 20:32:21,215 INFO: [40..][epoch: 0, step: 9,400, lr:(2.000e-04,)] [eta: 1 day, 20:49:07, time (data): 1.363 (0.000)] eagle_pixel_x2_opt: 4.6870e+00 l1_pixel_x2_opt: 3.4023e-02 fft_frequency_x2_opt: 3.2105e-02 eagle_pixel_x4_opt: 7.6264e+00 l1_pixel_x4_opt: 5.2730e-02 fft_frequency_x4_opt: 4.5512e-02 +2025-11-05 20:34:37,377 INFO: [40..][epoch: 0, step: 9,500, lr:(2.000e-04,)] [eta: 1 day, 20:46:06, time (data): 1.355 (0.000)] eagle_pixel_x2_opt: 3.7971e+00 l1_pixel_x2_opt: 3.1372e-02 fft_frequency_x2_opt: 2.9011e-02 eagle_pixel_x4_opt: 6.2974e+00 l1_pixel_x4_opt: 4.7324e-02 fft_frequency_x4_opt: 4.0753e-02 +2025-11-05 20:36:53,676 INFO: [40..][epoch: 0, step: 9,600, lr:(2.000e-04,)] [eta: 1 day, 20:43:07, time (data): 1.360 (0.000)] eagle_pixel_x2_opt: 4.3138e+00 l1_pixel_x2_opt: 3.3997e-02 fft_frequency_x2_opt: 3.0650e-02 eagle_pixel_x4_opt: 6.7038e+00 l1_pixel_x4_opt: 5.2605e-02 fft_frequency_x4_opt: 4.2895e-02 +2025-11-05 20:39:09,969 INFO: [40..][epoch: 0, step: 9,700, lr:(2.000e-04,)] [eta: 1 day, 20:40:09, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.9198e+00 l1_pixel_x2_opt: 4.1087e-02 fft_frequency_x2_opt: 3.7171e-02 eagle_pixel_x4_opt: 7.7024e+00 l1_pixel_x4_opt: 6.0545e-02 fft_frequency_x4_opt: 5.1411e-02 +2025-11-05 20:41:25,832 INFO: [40..][epoch: 0, step: 9,800, lr:(2.000e-04,)] [eta: 1 day, 20:37:08, time (data): 1.360 (0.000)] eagle_pixel_x2_opt: 4.2473e+00 l1_pixel_x2_opt: 3.5178e-02 fft_frequency_x2_opt: 3.1389e-02 eagle_pixel_x4_opt: 6.6685e+00 l1_pixel_x4_opt: 5.4322e-02 fft_frequency_x4_opt: 4.4309e-02 +2025-11-05 20:43:42,611 INFO: [40..][epoch: 0, step: 9,900, lr:(2.000e-04,)] [eta: 1 day, 20:34:17, time (data): 1.372 (0.000)] eagle_pixel_x2_opt: 4.3647e+00 l1_pixel_x2_opt: 3.4762e-02 fft_frequency_x2_opt: 3.2454e-02 eagle_pixel_x4_opt: 6.8759e+00 l1_pixel_x4_opt: 5.3379e-02 fft_frequency_x4_opt: 4.5521e-02 +2025-11-05 20:45:58,304 INFO: [40..][epoch: 0, step: 10,000, lr:(2.000e-04,)] [eta: 1 day, 20:31:15, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.2041e+00 l1_pixel_x2_opt: 3.1557e-02 fft_frequency_x2_opt: 3.0455e-02 eagle_pixel_x4_opt: 6.7599e+00 l1_pixel_x4_opt: 4.9732e-02 fft_frequency_x4_opt: 4.3161e-02 +2025-11-05 20:45:58,306 INFO: Saving models and training states. +2025-11-05 20:48:49,532 INFO: Validation val_x2 + # l1_latent: 1.4318 Best: 1.4318 @ 10000 iter + # pixel_psnr_pt: 32.0923 Best: 32.0923 @ 10000 iter + +2025-11-05 20:51:07,945 INFO: Validation val_x4 + # l1_latent: 1.5483 Best: 1.5483 @ 10000 iter + # l2_latent: 3.7379 Best: 3.7379 @ 10000 iter + # pixel_psnr_pt: 27.5116 Best: 27.5116 @ 10000 iter + +2025-11-05 20:53:24,139 INFO: [40..][epoch: 0, step: 10,100, lr:(2.000e-04,)] [eta: 1 day, 21:27:02, time (data): 1.360 (0.000)] eagle_pixel_x2_opt: 4.4604e+00 l1_pixel_x2_opt: 3.6254e-02 fft_frequency_x2_opt: 3.4131e-02 eagle_pixel_x4_opt: 6.9864e+00 l1_pixel_x4_opt: 5.5651e-02 fft_frequency_x4_opt: 4.7664e-02 +2025-11-05 20:55:40,026 INFO: [40..][epoch: 0, step: 10,200, lr:(2.000e-04,)] [eta: 1 day, 21:23:26, time (data): 1.359 (0.000)] eagle_pixel_x2_opt: 3.7658e+00 l1_pixel_x2_opt: 3.2664e-02 fft_frequency_x2_opt: 2.9860e-02 eagle_pixel_x4_opt: 6.0109e+00 l1_pixel_x4_opt: 4.8835e-02 fft_frequency_x4_opt: 4.1368e-02 +2025-11-05 20:57:56,793 INFO: [40..][epoch: 0, step: 10,300, lr:(2.000e-04,)] [eta: 1 day, 21:20:02, time (data): 1.365 (0.000)] eagle_pixel_x2_opt: 4.4903e+00 l1_pixel_x2_opt: 3.7679e-02 fft_frequency_x2_opt: 3.4294e-02 eagle_pixel_x4_opt: 7.1100e+00 l1_pixel_x4_opt: 5.6950e-02 fft_frequency_x4_opt: 4.7756e-02 +2025-11-05 21:00:12,817 INFO: [40..][epoch: 0, step: 10,400, lr:(2.000e-04,)] [eta: 1 day, 21:16:30, time (data): 1.362 (0.000)] eagle_pixel_x2_opt: 4.5294e+00 l1_pixel_x2_opt: 3.9167e-02 fft_frequency_x2_opt: 3.5153e-02 eagle_pixel_x4_opt: 7.1948e+00 l1_pixel_x4_opt: 5.7690e-02 fft_frequency_x4_opt: 4.8813e-02 +2025-11-05 21:02:28,632 INFO: [40..][epoch: 0, step: 10,500, lr:(2.000e-04,)] [eta: 1 day, 21:12:58, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.5434e+00 l1_pixel_x2_opt: 3.5479e-02 fft_frequency_x2_opt: 3.2378e-02 eagle_pixel_x4_opt: 7.0217e+00 l1_pixel_x4_opt: 5.3978e-02 fft_frequency_x4_opt: 4.5246e-02 +2025-11-05 21:04:44,521 INFO: [40..][epoch: 0, step: 10,600, lr:(2.000e-04,)] [eta: 1 day, 21:09:28, time (data): 1.358 (0.000)] eagle_pixel_x2_opt: 4.5201e+00 l1_pixel_x2_opt: 3.4039e-02 fft_frequency_x2_opt: 3.1290e-02 eagle_pixel_x4_opt: 7.1836e+00 l1_pixel_x4_opt: 5.3550e-02 fft_frequency_x4_opt: 4.4880e-02 +2025-11-05 21:07:00,555 INFO: [40..][epoch: 0, step: 10,700, lr:(2.000e-04,)] [eta: 1 day, 21:06:01, time (data): 1.363 (0.000)] eagle_pixel_x2_opt: 4.8988e+00 l1_pixel_x2_opt: 3.5262e-02 fft_frequency_x2_opt: 3.4475e-02 eagle_pixel_x4_opt: 7.5958e+00 l1_pixel_x4_opt: 5.4098e-02 fft_frequency_x4_opt: 4.7852e-02 +2025-11-05 21:09:17,277 INFO: [40..][epoch: 0, step: 10,800, lr:(2.000e-04,)] [eta: 1 day, 21:02:43, time (data): 1.366 (0.000)] eagle_pixel_x2_opt: 5.2098e+00 l1_pixel_x2_opt: 3.9212e-02 fft_frequency_x2_opt: 3.6868e-02 eagle_pixel_x4_opt: 8.0934e+00 l1_pixel_x4_opt: 5.8166e-02 fft_frequency_x4_opt: 5.1222e-02 +2025-11-05 21:11:32,997 INFO: [40..][epoch: 0, step: 10,900, lr:(2.000e-04,)] [eta: 1 day, 20:59:15, time (data): 1.356 (0.000)] eagle_pixel_x2_opt: 4.8655e+00 l1_pixel_x2_opt: 3.5497e-02 fft_frequency_x2_opt: 3.2793e-02 eagle_pixel_x4_opt: 7.9432e+00 l1_pixel_x4_opt: 5.4599e-02 fft_frequency_x4_opt: 4.7183e-02 +2025-11-05 21:12:42,796 ERROR: Encountered non-finite generator loss at iter 10952; skipping update. +2025-11-05 21:12:42,797 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:42,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:42,798 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:42,798 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:42,820 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=12.44, mean=-0.1738, std=3.016, absmax=12.56 +2025-11-05 21:12:42,822 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=10.75, mean=-0.1582, std=2.734, absmax=11.44 +2025-11-05 21:12:43,242 ERROR: Encountered non-finite generator loss at iter 10953; skipping update. +2025-11-05 21:12:43,243 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:43,244 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:43,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:43,245 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:43,245 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=13.19, mean=-0.2461, std=2.891, absmax=13.19 +2025-11-05 21:12:43,246 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=11.94, mean=-0.2129, std=2.672, absmax=12 +2025-11-05 21:12:43,665 ERROR: Encountered non-finite generator loss at iter 10954; skipping update. +2025-11-05 21:12:43,666 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:43,667 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:43,668 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:43,668 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:43,669 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=11.75, mean=-0.1807, std=2.766, absmax=11.94 +2025-11-05 21:12:43,670 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=11, mean=-0.1211, std=2.578, absmax=11.44 +2025-11-05 21:12:44,088 ERROR: Encountered non-finite generator loss at iter 10955; skipping update. +2025-11-05 21:12:44,089 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,091 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,091 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,092 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:44,093 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.88, max=14.31, mean=-0.2246, std=2.828, absmax=14.31 +2025-11-05 21:12:44,094 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=12.44, mean=-0.2002, std=2.672, absmax=12.44 +2025-11-05 21:12:44,514 ERROR: Encountered non-finite generator loss at iter 10956; skipping update. +2025-11-05 21:12:44,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,517 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:44,518 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=12.25, mean=-0.2344, std=2.562, absmax=13.19 +2025-11-05 21:12:44,519 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=11.69, mean=-0.209, std=2.422, absmax=11.69 +2025-11-05 21:12:44,937 ERROR: Encountered non-finite generator loss at iter 10957; skipping update. +2025-11-05 21:12:44,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,939 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,939 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:44,939 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:44,941 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=12.94, mean=-0.1553, std=2.922, absmax=12.94 +2025-11-05 21:12:44,942 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.25, mean=-0.1318, std=2.75, absmax=12.06 +2025-11-05 21:12:45,360 ERROR: Encountered non-finite generator loss at iter 10958; skipping update. +2025-11-05 21:12:45,361 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:45,362 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:45,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:45,364 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:45,365 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12, max=12.38, mean=-0.1885, std=2.516, absmax=12.38 +2025-11-05 21:12:45,366 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=11.06, mean=-0.1953, std=2.359, absmax=11.44 +2025-11-05 21:12:45,783 ERROR: Encountered non-finite generator loss at iter 10959; skipping update. +2025-11-05 21:12:45,784 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:45,785 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:45,786 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:45,786 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:45,787 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=12.44, mean=-0.1553, std=2.562, absmax=13.12 +2025-11-05 21:12:45,788 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.88, max=11.38, mean=-0.1108, std=2.391, absmax=11.38 +2025-11-05 21:12:46,207 ERROR: Encountered non-finite generator loss at iter 10960; skipping update. +2025-11-05 21:12:46,208 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:46,209 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:46,210 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:46,210 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:46,210 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.75, max=12.5, mean=-0.2832, std=2.547, absmax=12.75 +2025-11-05 21:12:46,212 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=12.25, mean=-0.25, std=2.438, absmax=13.06 +2025-11-05 21:12:46,629 ERROR: Encountered non-finite generator loss at iter 10961; skipping update. +2025-11-05 21:12:46,631 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:46,632 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:46,632 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:46,633 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:46,633 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=14.44, mean=0.123, std=3.172, absmax=14.44 +2025-11-05 21:12:46,634 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.69, max=11.56, mean=0.126, std=2.969, absmax=11.56 +2025-11-05 21:12:47,052 ERROR: Encountered non-finite generator loss at iter 10962; skipping update. +2025-11-05 21:12:47,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,055 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:47,056 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=14.56, mean=-0.1582, std=3.109, absmax=14.56 +2025-11-05 21:12:47,058 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=13.31, mean=-0.1367, std=2.844, absmax=13.31 +2025-11-05 21:12:47,476 ERROR: Encountered non-finite generator loss at iter 10963; skipping update. +2025-11-05 21:12:47,477 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,478 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,479 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:47,480 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=11.19, mean=-0.3047, std=2.797, absmax=13.12 +2025-11-05 21:12:47,481 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=10.62, mean=-0.2461, std=2.656, absmax=12.44 +2025-11-05 21:12:47,899 ERROR: Encountered non-finite generator loss at iter 10964; skipping update. +2025-11-05 21:12:47,901 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,902 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,902 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:47,902 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:47,903 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=17.75, mean=0.167, std=3.234, absmax=17.75 +2025-11-05 21:12:47,904 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=13.75, mean=0.1357, std=3, absmax=13.75 +2025-11-05 21:12:48,321 ERROR: Encountered non-finite generator loss at iter 10965; skipping update. +2025-11-05 21:12:48,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:48,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:48,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:48,325 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:48,325 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16, max=14.69, mean=-0.2441, std=3.188, absmax=16 +2025-11-05 21:12:48,326 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.31, max=12.38, mean=-0.2178, std=2.953, absmax=13.31 +2025-11-05 21:12:48,743 ERROR: Encountered non-finite generator loss at iter 10966; skipping update. +2025-11-05 21:12:48,744 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:48,746 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:48,746 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:48,747 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:48,748 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=12.69, mean=-0.1621, std=3.016, absmax=12.69 +2025-11-05 21:12:48,749 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=12.12, mean=-0.1807, std=2.781, absmax=12.12 +2025-11-05 21:12:49,166 ERROR: Encountered non-finite generator loss at iter 10967; skipping update. +2025-11-05 21:12:49,167 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:49,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:49,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:49,169 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:49,170 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=14.5, mean=-0.1553, std=2.922, absmax=14.5 +2025-11-05 21:12:49,171 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=11.19, mean=-0.1416, std=2.656, absmax=11.69 +2025-11-05 21:12:49,590 ERROR: Encountered non-finite generator loss at iter 10968; skipping update. +2025-11-05 21:12:49,591 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:49,592 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:49,593 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:49,594 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:49,595 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=15.06, mean=0.052, std=3.188, absmax=15.06 +2025-11-05 21:12:49,596 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.62, max=13.75, mean=0.06055, std=2.891, absmax=13.75 +2025-11-05 21:12:50,014 ERROR: Encountered non-finite generator loss at iter 10969; skipping update. +2025-11-05 21:12:50,015 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,016 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:50,017 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=13.5, mean=-0.1641, std=2.875, absmax=13.5 +2025-11-05 21:12:50,018 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=12.31, mean=-0.1338, std=2.656, absmax=12.31 +2025-11-05 21:12:50,437 ERROR: Encountered non-finite generator loss at iter 10970; skipping update. +2025-11-05 21:12:50,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,440 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:50,441 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=12.12, mean=-0.1943, std=2.891, absmax=12.19 +2025-11-05 21:12:50,442 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=11.31, mean=-0.1611, std=2.719, absmax=11.31 +2025-11-05 21:12:50,860 ERROR: Encountered non-finite generator loss at iter 10971; skipping update. +2025-11-05 21:12:50,861 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,862 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:50,863 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:50,864 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=13.19, mean=-0.2754, std=2.859, absmax=13.19 +2025-11-05 21:12:50,865 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=11.06, mean=-0.2891, std=2.578, absmax=11.5 +2025-11-05 21:12:51,283 ERROR: Encountered non-finite generator loss at iter 10972; skipping update. +2025-11-05 21:12:51,284 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:51,285 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:51,286 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:51,286 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:51,287 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.81, max=14.44, mean=-0.1436, std=2.953, absmax=14.81 +2025-11-05 21:12:51,288 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.56, max=12.75, mean=-0.1572, std=2.734, absmax=12.75 +2025-11-05 21:12:51,706 ERROR: Encountered non-finite generator loss at iter 10973; skipping update. +2025-11-05 21:12:51,708 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:51,709 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:51,709 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:51,709 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:51,710 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=13.31, mean=-0.1943, std=2.875, absmax=13.31 +2025-11-05 21:12:51,711 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=10.94, mean=-0.1631, std=2.719, absmax=11.5 +2025-11-05 21:12:52,130 ERROR: Encountered non-finite generator loss at iter 10974; skipping update. +2025-11-05 21:12:52,131 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,132 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,132 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,133 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:52,135 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=13.56, mean=-0.02869, std=3.156, absmax=13.56 +2025-11-05 21:12:52,135 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=11.94, mean=-0.02344, std=2.969, absmax=13.25 +2025-11-05 21:12:52,554 ERROR: Encountered non-finite generator loss at iter 10975; skipping update. +2025-11-05 21:12:52,555 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,556 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,556 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,557 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:52,558 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=12.44, mean=-0.1797, std=2.578, absmax=12.94 +2025-11-05 21:12:52,559 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.62, max=10.25, mean=-0.1719, std=2.422, absmax=10.62 +2025-11-05 21:12:52,978 ERROR: Encountered non-finite generator loss at iter 10976; skipping update. +2025-11-05 21:12:52,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,980 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,981 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:52,981 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:52,982 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.19, max=14.25, mean=-0.05249, std=3.062, absmax=15.19 +2025-11-05 21:12:52,983 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=12.06, mean=-0.01978, std=2.75, absmax=12.06 +2025-11-05 21:12:53,401 ERROR: Encountered non-finite generator loss at iter 10977; skipping update. +2025-11-05 21:12:53,402 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:53,403 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:53,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:53,404 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:53,405 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.88, max=13.75, mean=-0.3633, std=2.875, absmax=13.75 +2025-11-05 21:12:53,406 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.62, max=13, mean=-0.3418, std=2.672, absmax=13 +2025-11-05 21:12:53,825 ERROR: Encountered non-finite generator loss at iter 10978; skipping update. +2025-11-05 21:12:53,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:53,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:53,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:53,829 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:53,830 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=13.12, mean=-0.165, std=3.109, absmax=14 +2025-11-05 21:12:53,831 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=11.88, mean=-0.1709, std=2.906, absmax=12.62 +2025-11-05 21:12:54,249 ERROR: Encountered non-finite generator loss at iter 10979; skipping update. +2025-11-05 21:12:54,250 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:54,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:54,252 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:54,252 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:54,254 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=14.19, mean=-0.06885, std=3.047, absmax=14.19 +2025-11-05 21:12:54,255 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=14.06, mean=-0.05884, std=2.859, absmax=14.06 +2025-11-05 21:12:54,674 ERROR: Encountered non-finite generator loss at iter 10980; skipping update. +2025-11-05 21:12:54,675 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:54,676 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:54,678 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:54,679 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:54,680 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=11.62, mean=-0.2715, std=3.156, absmax=13.75 +2025-11-05 21:12:54,680 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=10.44, mean=-0.2451, std=2.922, absmax=12 +2025-11-05 21:12:55,099 ERROR: Encountered non-finite generator loss at iter 10981; skipping update. +2025-11-05 21:12:55,100 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,101 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,102 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,102 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:55,103 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.62, max=12.06, mean=-0.3223, std=2.766, absmax=12.06 +2025-11-05 21:12:55,104 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.62, max=10.31, mean=-0.2754, std=2.703, absmax=13.62 +2025-11-05 21:12:55,523 ERROR: Encountered non-finite generator loss at iter 10982; skipping update. +2025-11-05 21:12:55,524 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,525 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,525 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,526 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:55,526 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.62, max=14.38, mean=-0.03491, std=3.734, absmax=14.62 +2025-11-05 21:12:55,527 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-15.62, max=13.75, mean=0.002365, std=3.469, absmax=15.62 +2025-11-05 21:12:55,945 ERROR: Encountered non-finite generator loss at iter 10983; skipping update. +2025-11-05 21:12:55,946 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,948 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:55,948 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:55,950 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=13.69, mean=-0.05078, std=3.281, absmax=13.69 +2025-11-05 21:12:55,951 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=12.62, mean=-0.03882, std=3.031, absmax=12.62 +2025-11-05 21:12:56,369 ERROR: Encountered non-finite generator loss at iter 10984; skipping update. +2025-11-05 21:12:56,370 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:56,371 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:56,372 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:56,373 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:56,374 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=15.81, mean=0.04883, std=3.625, absmax=15.81 +2025-11-05 21:12:56,375 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=14.88, mean=0.05322, std=3.391, absmax=14.88 +2025-11-05 21:12:56,793 ERROR: Encountered non-finite generator loss at iter 10985; skipping update. +2025-11-05 21:12:56,794 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:56,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:56,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:56,796 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:56,797 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=15.19, mean=0.001213, std=3.812, absmax=15.19 +2025-11-05 21:12:56,798 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=15.06, mean=0.03296, std=3.594, absmax=15.06 +2025-11-05 21:12:57,217 ERROR: Encountered non-finite generator loss at iter 10986; skipping update. +2025-11-05 21:12:57,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:57,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:57,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:57,220 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:57,221 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=12.19, mean=-0.1436, std=2.719, absmax=12.31 +2025-11-05 21:12:57,222 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=11.81, mean=-0.124, std=2.562, absmax=12 +2025-11-05 21:12:57,640 ERROR: Encountered non-finite generator loss at iter 10987; skipping update. +2025-11-05 21:12:57,641 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:57,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:57,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:57,646 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:57,647 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.94, max=12.38, mean=-0.2539, std=2.891, absmax=15.94 +2025-11-05 21:12:57,649 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.31, max=11.81, mean=-0.25, std=2.797, absmax=14.31 +2025-11-05 21:12:58,067 ERROR: Encountered non-finite generator loss at iter 10988; skipping update. +2025-11-05 21:12:58,069 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,070 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,070 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,070 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:58,071 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.88, max=12.31, mean=-0.2559, std=3.109, absmax=14.88 +2025-11-05 21:12:58,072 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.19, mean=-0.2148, std=2.922, absmax=12.06 +2025-11-05 21:12:58,491 ERROR: Encountered non-finite generator loss at iter 10989; skipping update. +2025-11-05 21:12:58,492 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,495 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:58,496 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=14, mean=-0.1514, std=3.219, absmax=14 +2025-11-05 21:12:58,497 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.56, max=13.31, mean=-0.1357, std=2.984, absmax=14.56 +2025-11-05 21:12:58,915 ERROR: Encountered non-finite generator loss at iter 10990; skipping update. +2025-11-05 21:12:58,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,918 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,918 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:58,919 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:58,920 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.5, max=12.44, mean=-0.1299, std=2.859, absmax=12.44 +2025-11-05 21:12:58,921 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.12, max=10.69, mean=-0.1553, std=2.641, absmax=10.69 +2025-11-05 21:12:59,339 ERROR: Encountered non-finite generator loss at iter 10991; skipping update. +2025-11-05 21:12:59,340 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:59,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:59,342 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:59,343 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:59,344 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.06, max=15.69, mean=0.05615, std=3.484, absmax=15.69 +2025-11-05 21:12:59,345 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=15, mean=0.07422, std=3.188, absmax=15 +2025-11-05 21:12:59,764 ERROR: Encountered non-finite generator loss at iter 10992; skipping update. +2025-11-05 21:12:59,765 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:59,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:12:59,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:12:59,767 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:12:59,767 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=17.25, mean=-0.1875, std=3.141, absmax=17.25 +2025-11-05 21:12:59,768 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=15.56, mean=-0.2227, std=2.859, absmax=15.56 +2025-11-05 21:13:00,187 ERROR: Encountered non-finite generator loss at iter 10993; skipping update. +2025-11-05 21:13:00,188 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:00,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:00,190 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:00,191 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:00,192 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=18, mean=0.1738, std=3.703, absmax=18 +2025-11-05 21:13:00,193 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=15, mean=0.1709, std=3.453, absmax=15 +2025-11-05 21:13:00,611 ERROR: Encountered non-finite generator loss at iter 10994; skipping update. +2025-11-05 21:13:00,612 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:00,613 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:00,614 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:00,614 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:00,615 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=13.31, mean=-0.2256, std=3, absmax=14.56 +2025-11-05 21:13:00,616 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.62, max=11.06, mean=-0.2188, std=2.859, absmax=13.62 +2025-11-05 21:13:01,035 ERROR: Encountered non-finite generator loss at iter 10995; skipping update. +2025-11-05 21:13:01,036 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,037 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,038 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:01,039 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=11.94, mean=-0.2871, std=2.719, absmax=12.19 +2025-11-05 21:13:01,040 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.75, max=9.625, mean=-0.2715, std=2.531, absmax=10.75 +2025-11-05 21:13:01,460 ERROR: Encountered non-finite generator loss at iter 10996; skipping update. +2025-11-05 21:13:01,461 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,462 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,463 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:01,464 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.88, max=13, mean=-0.2178, std=2.594, absmax=13 +2025-11-05 21:13:01,465 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.56, max=10.75, mean=-0.2188, std=2.438, absmax=11.56 +2025-11-05 21:13:01,882 ERROR: Encountered non-finite generator loss at iter 10997; skipping update. +2025-11-05 21:13:01,884 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,885 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,885 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:01,885 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:01,886 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.94, max=14.62, mean=-0.05688, std=3.797, absmax=15.94 +2025-11-05 21:13:01,887 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.69, max=13.5, mean=-0.09521, std=3.531, absmax=14.69 +2025-11-05 21:13:02,305 ERROR: Encountered non-finite generator loss at iter 10998; skipping update. +2025-11-05 21:13:02,306 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:02,307 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:02,307 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:02,308 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:02,309 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=12, mean=-0.2197, std=2.984, absmax=14.31 +2025-11-05 21:13:02,310 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=11.25, mean=-0.2002, std=2.75, absmax=11.31 +2025-11-05 21:13:02,728 ERROR: Encountered non-finite generator loss at iter 10999; skipping update. +2025-11-05 21:13:02,730 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:02,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:02,731 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:02,732 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:02,733 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-10.75, max=12.31, mean=-0.1924, std=2.703, absmax=12.31 +2025-11-05 21:13:02,734 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.88, max=11.12, mean=-0.1592, std=2.547, absmax=11.12 +2025-11-05 21:13:03,153 ERROR: Encountered non-finite generator loss at iter 11000; skipping update. +2025-11-05 21:13:03,154 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:03,155 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:03,156 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:03,156 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:03,157 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=14.44, mean=-0.1318, std=2.938, absmax=14.44 +2025-11-05 21:13:03,157 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=12.62, mean=-0.1338, std=2.781, absmax=12.62 +2025-11-05 21:13:03,158 INFO: [40..][epoch: 0, step: 11,000, lr:(2.000e-04,)] [eta: 1 day, 20:47:57, time (data): 1.045 (0.000)] +2025-11-05 21:13:03,579 ERROR: Encountered non-finite generator loss at iter 11001; skipping update. +2025-11-05 21:13:03,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:03,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:03,581 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:03,582 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:03,583 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=12.25, mean=-0.09424, std=2.828, absmax=12.56 +2025-11-05 21:13:03,584 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.5, mean=-0.06152, std=2.594, absmax=12.06 +2025-11-05 21:13:04,004 ERROR: Encountered non-finite generator loss at iter 11002; skipping update. +2025-11-05 21:13:04,005 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,006 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,006 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,007 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:04,008 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=13.19, mean=-0.2734, std=2.641, absmax=13.19 +2025-11-05 21:13:04,009 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=11, mean=-0.2695, std=2.438, absmax=11.94 +2025-11-05 21:13:04,427 ERROR: Encountered non-finite generator loss at iter 11003; skipping update. +2025-11-05 21:13:04,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,430 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:04,432 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=16.38, mean=-0.2266, std=2.688, absmax=16.38 +2025-11-05 21:13:04,433 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=11.88, mean=-0.1826, std=2.547, absmax=11.88 +2025-11-05 21:13:04,852 ERROR: Encountered non-finite generator loss at iter 11004; skipping update. +2025-11-05 21:13:04,853 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,854 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:04,855 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:04,856 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=14.06, mean=-0.1221, std=3.328, absmax=14.19 +2025-11-05 21:13:04,856 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=13.06, mean=-0.08496, std=3.062, absmax=13.06 +2025-11-05 21:13:05,275 ERROR: Encountered non-finite generator loss at iter 11005; skipping update. +2025-11-05 21:13:05,276 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:05,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:05,278 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:05,278 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:05,279 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=13.38, mean=-0.3398, std=2.906, absmax=14.19 +2025-11-05 21:13:05,280 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.5, max=11.44, mean=-0.2949, std=2.766, absmax=13.5 +2025-11-05 21:13:05,699 ERROR: Encountered non-finite generator loss at iter 11006; skipping update. +2025-11-05 21:13:05,700 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:05,701 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:05,702 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:05,702 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:05,703 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.12, max=12.38, mean=-0.09326, std=3.016, absmax=12.38 +2025-11-05 21:13:05,704 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.25, max=11.62, mean=-0.07324, std=2.781, absmax=11.62 +2025-11-05 21:13:06,123 ERROR: Encountered non-finite generator loss at iter 11007; skipping update. +2025-11-05 21:13:06,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,126 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,127 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:06,128 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.75, max=11.69, mean=-0.3105, std=2.859, absmax=14.75 +2025-11-05 21:13:06,129 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13, max=11.25, mean=-0.3008, std=2.703, absmax=13 +2025-11-05 21:13:06,548 ERROR: Encountered non-finite generator loss at iter 11008; skipping update. +2025-11-05 21:13:06,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,550 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,550 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,550 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:06,552 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=14.69, mean=-0.2275, std=2.594, absmax=14.69 +2025-11-05 21:13:06,553 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=10.56, mean=-0.2451, std=2.391, absmax=10.81 +2025-11-05 21:13:06,972 ERROR: Encountered non-finite generator loss at iter 11009; skipping update. +2025-11-05 21:13:06,973 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,974 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,975 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:06,976 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:06,977 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=12.44, mean=-0.1035, std=3.062, absmax=13.5 +2025-11-05 21:13:06,978 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=11.75, mean=-0.1074, std=2.828, absmax=12.56 +2025-11-05 21:13:07,396 ERROR: Encountered non-finite generator loss at iter 11010; skipping update. +2025-11-05 21:13:07,397 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:07,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:07,399 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:07,399 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:07,400 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.06, max=15.06, mean=-0.1943, std=3.156, absmax=15.06 +2025-11-05 21:13:07,401 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-15.44, max=12.62, mean=-0.1709, std=2.938, absmax=15.44 +2025-11-05 21:13:07,820 ERROR: Encountered non-finite generator loss at iter 11011; skipping update. +2025-11-05 21:13:07,821 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:07,822 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:07,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:07,823 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:07,824 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=16.5, mean=-0.1455, std=3.172, absmax=16.5 +2025-11-05 21:13:07,825 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=14.62, mean=-0.1621, std=2.891, absmax=14.62 +2025-11-05 21:13:08,244 ERROR: Encountered non-finite generator loss at iter 11012; skipping update. +2025-11-05 21:13:08,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:08,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:08,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:08,247 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:08,248 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=14.31, mean=-0.05542, std=3.469, absmax=14.31 +2025-11-05 21:13:08,249 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=12.81, mean=-0.03711, std=3.172, absmax=12.81 +2025-11-05 21:13:08,667 ERROR: Encountered non-finite generator loss at iter 11013; skipping update. +2025-11-05 21:13:08,669 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:08,670 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:08,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:08,670 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:08,672 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=12.25, mean=-0.2217, std=3.266, absmax=12.44 +2025-11-05 21:13:08,672 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=10.5, mean=-0.1904, std=3, absmax=11.62 +2025-11-05 21:13:09,091 ERROR: Encountered non-finite generator loss at iter 11014; skipping update. +2025-11-05 21:13:09,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,094 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,094 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:09,095 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=14.88, mean=0.003632, std=3.078, absmax=14.88 +2025-11-05 21:13:09,096 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=14.12, mean=0.01917, std=2.875, absmax=14.12 +2025-11-05 21:13:09,515 ERROR: Encountered non-finite generator loss at iter 11015; skipping update. +2025-11-05 21:13:09,516 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,518 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,518 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,519 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:09,520 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=14.56, mean=-0.1855, std=3.438, absmax=14.56 +2025-11-05 21:13:09,521 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.38, max=13.5, mean=-0.166, std=3.203, absmax=13.5 +2025-11-05 21:13:09,940 ERROR: Encountered non-finite generator loss at iter 11016; skipping update. +2025-11-05 21:13:09,941 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,942 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:09,942 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:09,944 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.75, max=15.19, mean=-0.07812, std=2.734, absmax=15.19 +2025-11-05 21:13:09,945 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=11.44, mean=-0.08057, std=2.641, absmax=12.12 +2025-11-05 21:13:10,363 ERROR: Encountered non-finite generator loss at iter 11017; skipping update. +2025-11-05 21:13:10,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:10,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:10,366 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:10,366 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:10,366 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.44, max=13.5, mean=-0.2656, std=3.141, absmax=15.44 +2025-11-05 21:13:10,367 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=11.69, mean=-0.2178, std=2.953, absmax=12.75 +2025-11-05 21:13:10,786 ERROR: Encountered non-finite generator loss at iter 11018; skipping update. +2025-11-05 21:13:10,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:10,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:10,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:10,789 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:10,790 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=16.62, mean=0.02393, std=3.078, absmax=16.62 +2025-11-05 21:13:10,791 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=15.44, mean=0.02185, std=2.891, absmax=15.44 +2025-11-05 21:13:11,209 ERROR: Encountered non-finite generator loss at iter 11019; skipping update. +2025-11-05 21:13:11,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:11,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:11,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:11,212 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:11,214 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=13.56, mean=-0.1729, std=3.422, absmax=13.56 +2025-11-05 21:13:11,215 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=12.44, mean=-0.1553, std=3.141, absmax=12.44 +2025-11-05 21:13:11,633 ERROR: Encountered non-finite generator loss at iter 11020; skipping update. +2025-11-05 21:13:11,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:11,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:11,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:11,636 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:11,637 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=13.75, mean=-0.2158, std=3.203, absmax=13.88 +2025-11-05 21:13:11,638 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=11.81, mean=-0.1826, std=2.922, absmax=12.12 +2025-11-05 21:13:12,057 ERROR: Encountered non-finite generator loss at iter 11021; skipping update. +2025-11-05 21:13:12,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,059 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,059 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:12,060 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=13.12, mean=-0.1001, std=3.062, absmax=13.5 +2025-11-05 21:13:12,060 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=11.31, mean=-0.09082, std=2.734, absmax=11.44 +2025-11-05 21:13:12,479 ERROR: Encountered non-finite generator loss at iter 11022; skipping update. +2025-11-05 21:13:12,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,483 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:12,484 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=11.06, mean=-0.1196, std=2.844, absmax=12.44 +2025-11-05 21:13:12,485 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=10.38, mean=-0.1514, std=2.656, absmax=11.38 +2025-11-05 21:13:12,904 ERROR: Encountered non-finite generator loss at iter 11023; skipping update. +2025-11-05 21:13:12,905 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:12,906 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:12,908 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.44, max=13, mean=-0.1396, std=3.375, absmax=14.44 +2025-11-05 21:13:12,908 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=10.5, mean=-0.1777, std=3.125, absmax=12.62 +2025-11-05 21:13:13,327 ERROR: Encountered non-finite generator loss at iter 11024; skipping update. +2025-11-05 21:13:13,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:13,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:13,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:13,330 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:13,331 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=14.31, mean=-0.02319, std=3.266, absmax=14.31 +2025-11-05 21:13:13,332 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=13.31, mean=-0.03247, std=3.016, absmax=13.31 +2025-11-05 21:13:13,751 ERROR: Encountered non-finite generator loss at iter 11025; skipping update. +2025-11-05 21:13:13,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:13,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:13,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:13,754 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:13,755 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12, max=12.81, mean=-0.1562, std=2.609, absmax=12.81 +2025-11-05 21:13:13,755 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.69, max=10.94, mean=-0.1621, std=2.406, absmax=10.94 +2025-11-05 21:13:14,174 ERROR: Encountered non-finite generator loss at iter 11026; skipping update. +2025-11-05 21:13:14,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:14,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:14,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:14,178 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:14,179 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=14.56, mean=-0.167, std=3.266, absmax=14.56 +2025-11-05 21:13:14,180 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=13.12, mean=-0.1797, std=2.969, absmax=13.12 +2025-11-05 21:13:14,599 ERROR: Encountered non-finite generator loss at iter 11027; skipping update. +2025-11-05 21:13:14,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:14,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:14,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:14,602 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:14,602 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=13.38, mean=-0.207, std=3.125, absmax=13.38 +2025-11-05 21:13:14,603 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=12.19, mean=-0.1543, std=2.953, absmax=12.19 +2025-11-05 21:13:15,021 ERROR: Encountered non-finite generator loss at iter 11028; skipping update. +2025-11-05 21:13:15,022 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,024 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,025 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:15,026 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=14.44, mean=0.01105, std=3.031, absmax=14.44 +2025-11-05 21:13:15,027 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.19, max=13.81, mean=0.03467, std=3, absmax=13.81 +2025-11-05 21:13:15,445 ERROR: Encountered non-finite generator loss at iter 11029; skipping update. +2025-11-05 21:13:15,446 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,447 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,448 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,448 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:15,449 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.06, max=12.56, mean=-0.1777, std=2.969, absmax=14.06 +2025-11-05 21:13:15,450 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13, max=10.69, mean=-0.1787, std=2.719, absmax=13 +2025-11-05 21:13:15,868 ERROR: Encountered non-finite generator loss at iter 11030; skipping update. +2025-11-05 21:13:15,870 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,871 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,871 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:15,871 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:15,873 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=13.75, mean=-0.03418, std=3.172, absmax=14.19 +2025-11-05 21:13:15,873 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=12.38, mean=-0.03003, std=3, absmax=13.25 +2025-11-05 21:13:16,292 ERROR: Encountered non-finite generator loss at iter 11031; skipping update. +2025-11-05 21:13:16,293 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:16,295 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:16,295 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:16,296 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:16,297 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=13.44, mean=-0.2178, std=3.328, absmax=13.44 +2025-11-05 21:13:16,297 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=11.81, mean=-0.2002, std=2.984, absmax=12.19 +2025-11-05 21:13:16,716 ERROR: Encountered non-finite generator loss at iter 11032; skipping update. +2025-11-05 21:13:16,717 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:16,718 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:16,718 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:16,719 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:16,720 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=14.25, mean=-0.1631, std=3.219, absmax=14.25 +2025-11-05 21:13:16,721 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=13.56, mean=-0.165, std=3, absmax=13.56 +2025-11-05 21:13:17,140 ERROR: Encountered non-finite generator loss at iter 11033; skipping update. +2025-11-05 21:13:17,141 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,142 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,142 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,143 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:17,144 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.25, max=13.62, mean=-0.3164, std=3.109, absmax=14.25 +2025-11-05 21:13:17,145 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=13.19, mean=-0.2949, std=2.984, absmax=13.19 +2025-11-05 21:13:17,564 ERROR: Encountered non-finite generator loss at iter 11034; skipping update. +2025-11-05 21:13:17,565 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,566 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,567 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,567 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:17,568 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=12, mean=-0.2158, std=3.031, absmax=14 +2025-11-05 21:13:17,569 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14, max=10.5, mean=-0.1982, std=2.906, absmax=14 +2025-11-05 21:13:17,990 ERROR: Encountered non-finite generator loss at iter 11035; skipping update. +2025-11-05 21:13:17,991 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,992 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,993 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:17,994 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:17,995 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=14.69, mean=-0.167, std=3, absmax=14.69 +2025-11-05 21:13:17,998 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=11.25, mean=-0.1924, std=2.672, absmax=12.12 +2025-11-05 21:13:18,418 ERROR: Encountered non-finite generator loss at iter 11036; skipping update. +2025-11-05 21:13:18,419 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:18,421 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:18,421 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:18,422 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:18,423 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.25, max=11.56, mean=-0.08789, std=2.594, absmax=11.56 +2025-11-05 21:13:18,424 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=10.44, mean=-0.1084, std=2.469, absmax=11.06 +2025-11-05 21:13:18,843 ERROR: Encountered non-finite generator loss at iter 11037; skipping update. +2025-11-05 21:13:18,844 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:18,845 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:18,846 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:18,848 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:18,849 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=14.88, mean=-0.2061, std=2.562, absmax=14.88 +2025-11-05 21:13:18,850 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=11.38, mean=-0.1768, std=2.469, absmax=11.38 +2025-11-05 21:13:19,268 ERROR: Encountered non-finite generator loss at iter 11038; skipping update. +2025-11-05 21:13:19,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:19,271 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:19,271 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:19,271 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:19,273 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=12.12, mean=-0.1157, std=3.234, absmax=13.12 +2025-11-05 21:13:19,274 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=11.56, mean=-0.1133, std=3.141, absmax=12.56 +2025-11-05 21:13:19,692 ERROR: Encountered non-finite generator loss at iter 11039; skipping update. +2025-11-05 21:13:19,694 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:19,695 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:19,695 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:19,696 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:19,697 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=12.94, mean=-0.2061, std=3.125, absmax=13.06 +2025-11-05 21:13:19,698 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=10.94, mean=-0.1973, std=2.781, absmax=12.62 +2025-11-05 21:13:20,117 ERROR: Encountered non-finite generator loss at iter 11040; skipping update. +2025-11-05 21:13:20,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,120 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:20,120 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.56, max=14.56, mean=-0.1387, std=3.062, absmax=14.56 +2025-11-05 21:13:20,121 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=14.75, mean=-0.1328, std=2.906, absmax=14.75 +2025-11-05 21:13:20,540 ERROR: Encountered non-finite generator loss at iter 11041; skipping update. +2025-11-05 21:13:20,541 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,542 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,543 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,544 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:20,545 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.38, max=15.62, mean=-0.09814, std=3.359, absmax=16.38 +2025-11-05 21:13:20,546 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=14.81, mean=-0.1406, std=3.141, absmax=14.81 +2025-11-05 21:13:20,965 ERROR: Encountered non-finite generator loss at iter 11042; skipping update. +2025-11-05 21:13:20,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,967 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,967 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:20,968 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:20,968 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.5, max=11.62, mean=-0.3066, std=3.016, absmax=15.5 +2025-11-05 21:13:20,969 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.44, max=10.31, mean=-0.2852, std=2.797, absmax=13.44 +2025-11-05 21:13:21,388 ERROR: Encountered non-finite generator loss at iter 11043; skipping update. +2025-11-05 21:13:21,389 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:21,390 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:21,391 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:21,391 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:21,392 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=14.31, mean=0.01276, std=3.688, absmax=14.31 +2025-11-05 21:13:21,393 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=14, mean=0.004822, std=3.5, absmax=14 +2025-11-05 21:13:21,812 ERROR: Encountered non-finite generator loss at iter 11044; skipping update. +2025-11-05 21:13:21,813 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:21,814 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:21,814 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:21,815 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:21,816 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.81, max=16.5, mean=-0.1719, std=3.156, absmax=16.5 +2025-11-05 21:13:21,817 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=12.31, mean=-0.1436, std=2.859, absmax=12.75 +2025-11-05 21:13:22,236 ERROR: Encountered non-finite generator loss at iter 11045; skipping update. +2025-11-05 21:13:22,237 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:22,239 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:22,239 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:22,240 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:22,241 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.19, max=13.69, mean=0.07178, std=3.391, absmax=15.19 +2025-11-05 21:13:22,242 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.12, max=11.88, mean=0.05542, std=3.047, absmax=14.12 +2025-11-05 21:13:22,661 ERROR: Encountered non-finite generator loss at iter 11046; skipping update. +2025-11-05 21:13:22,662 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:22,663 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:22,663 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:22,664 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:22,665 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=12.88, mean=-0.1777, std=2.859, absmax=12.88 +2025-11-05 21:13:22,666 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=11.5, mean=-0.1963, std=2.766, absmax=11.5 +2025-11-05 21:13:23,085 ERROR: Encountered non-finite generator loss at iter 11047; skipping update. +2025-11-05 21:13:23,086 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,087 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,087 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,088 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:23,090 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.81, max=15.19, mean=-0.013, std=3.625, absmax=15.19 +2025-11-05 21:13:23,091 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.25, max=15.06, mean=0.004028, std=3.406, absmax=15.06 +2025-11-05 21:13:23,509 ERROR: Encountered non-finite generator loss at iter 11048; skipping update. +2025-11-05 21:13:23,510 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,511 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,511 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,512 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:23,513 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=14.62, mean=-0.208, std=2.891, absmax=14.62 +2025-11-05 21:13:23,514 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=12.5, mean=-0.1885, std=2.688, absmax=12.5 +2025-11-05 21:13:23,933 ERROR: Encountered non-finite generator loss at iter 11049; skipping update. +2025-11-05 21:13:23,934 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,935 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,935 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:23,936 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:23,937 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=11.31, mean=-0.2598, std=2.641, absmax=12.19 +2025-11-05 21:13:23,937 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=9.938, mean=-0.2178, std=2.484, absmax=10.5 +2025-11-05 21:13:24,356 ERROR: Encountered non-finite generator loss at iter 11050; skipping update. +2025-11-05 21:13:24,358 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:24,359 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:24,360 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:24,361 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:24,362 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=14.5, mean=-0.1797, std=2.797, absmax=14.5 +2025-11-05 21:13:24,363 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=11.62, mean=-0.166, std=2.594, absmax=12.25 +2025-11-05 21:13:24,782 ERROR: Encountered non-finite generator loss at iter 11051; skipping update. +2025-11-05 21:13:24,783 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:24,784 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:24,784 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:24,786 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:24,787 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=17, mean=-0.2891, std=3.047, absmax=17 +2025-11-05 21:13:24,788 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.62, max=15.31, mean=-0.2969, std=2.969, absmax=15.31 +2025-11-05 21:13:25,206 ERROR: Encountered non-finite generator loss at iter 11052; skipping update. +2025-11-05 21:13:25,207 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:25,208 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:25,209 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:25,210 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:25,211 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=14.81, mean=-0.2275, std=3.094, absmax=14.81 +2025-11-05 21:13:25,212 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.94, max=13.62, mean=-0.2217, std=2.844, absmax=13.62 +2025-11-05 21:13:25,631 ERROR: Encountered non-finite generator loss at iter 11053; skipping update. +2025-11-05 21:13:25,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:25,633 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:25,633 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:25,634 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:25,635 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=13.69, mean=0.08496, std=3.266, absmax=14.56 +2025-11-05 21:13:25,636 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=13.31, mean=0.09668, std=3.016, absmax=13.31 +2025-11-05 21:13:26,055 ERROR: Encountered non-finite generator loss at iter 11054; skipping update. +2025-11-05 21:13:26,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,059 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:26,060 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=12.56, mean=-0.1455, std=2.922, absmax=12.56 +2025-11-05 21:13:26,061 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=11.69, mean=-0.1128, std=2.703, absmax=11.69 +2025-11-05 21:13:26,479 ERROR: Encountered non-finite generator loss at iter 11055; skipping update. +2025-11-05 21:13:26,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,482 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:26,482 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=13.94, mean=0.1611, std=3.594, absmax=13.94 +2025-11-05 21:13:26,485 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=13.19, mean=0.1465, std=3.406, absmax=13.19 +2025-11-05 21:13:26,903 ERROR: Encountered non-finite generator loss at iter 11056; skipping update. +2025-11-05 21:13:26,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:26,907 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:26,908 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=14.06, mean=-0.1699, std=3.234, absmax=14.06 +2025-11-05 21:13:26,909 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.25, mean=-0.1885, std=2.969, absmax=12.06 +2025-11-05 21:13:27,328 ERROR: Encountered non-finite generator loss at iter 11057; skipping update. +2025-11-05 21:13:27,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:27,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:27,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:27,330 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:27,332 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.38, max=13.62, mean=-0.2012, std=2.672, absmax=14.38 +2025-11-05 21:13:27,332 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=13.5, mean=-0.2227, std=2.438, absmax=13.5 +2025-11-05 21:13:27,751 ERROR: Encountered non-finite generator loss at iter 11058; skipping update. +2025-11-05 21:13:27,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:27,754 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:27,754 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:27,755 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:27,756 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.94, max=13.19, mean=-0.1602, std=3.25, absmax=14.94 +2025-11-05 21:13:27,757 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=12.31, mean=-0.1631, std=3, absmax=12.56 +2025-11-05 21:13:28,176 ERROR: Encountered non-finite generator loss at iter 11059; skipping update. +2025-11-05 21:13:28,177 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:28,178 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:28,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:28,179 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:28,181 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=13.62, mean=-0.2715, std=2.531, absmax=13.62 +2025-11-05 21:13:28,181 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.75, max=10.75, mean=-0.2598, std=2.391, absmax=10.75 +2025-11-05 21:13:28,600 ERROR: Encountered non-finite generator loss at iter 11060; skipping update. +2025-11-05 21:13:28,601 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:28,602 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:28,603 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:28,603 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:28,604 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=10.44, mean=-0.3184, std=2.828, absmax=13.25 +2025-11-05 21:13:28,605 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=10.31, mean=-0.3086, std=2.75, absmax=11.31 +2025-11-05 21:13:29,024 ERROR: Encountered non-finite generator loss at iter 11061; skipping update. +2025-11-05 21:13:29,025 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,026 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,026 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,027 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:29,028 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=15.12, mean=0.03418, std=3.453, absmax=15.12 +2025-11-05 21:13:29,029 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.94, max=14.12, mean=0.0625, std=3.234, absmax=14.12 +2025-11-05 21:13:29,448 ERROR: Encountered non-finite generator loss at iter 11062; skipping update. +2025-11-05 21:13:29,449 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,450 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,450 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,451 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:29,452 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=12.94, mean=-0.05908, std=2.969, absmax=12.94 +2025-11-05 21:13:29,452 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=10.69, mean=-0.06152, std=2.766, absmax=12 +2025-11-05 21:13:29,871 ERROR: Encountered non-finite generator loss at iter 11063; skipping update. +2025-11-05 21:13:29,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:29,877 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:29,878 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=14.94, mean=-0.1455, std=2.641, absmax=14.94 +2025-11-05 21:13:29,878 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=12.69, mean=-0.1367, std=2.406, absmax=12.69 +2025-11-05 21:13:30,297 ERROR: Encountered non-finite generator loss at iter 11064; skipping update. +2025-11-05 21:13:30,298 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:30,299 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:30,300 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:30,301 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:30,302 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.44, max=12.69, mean=-0.3008, std=2.891, absmax=14.44 +2025-11-05 21:13:30,303 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.38, max=11.5, mean=-0.2949, std=2.766, absmax=14.38 +2025-11-05 21:13:30,721 ERROR: Encountered non-finite generator loss at iter 11065; skipping update. +2025-11-05 21:13:30,722 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:30,723 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:30,724 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:30,725 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:30,726 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=13.81, mean=-0.2002, std=3.328, absmax=13.81 +2025-11-05 21:13:30,727 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=11.5, mean=-0.2295, std=3.078, absmax=12.62 +2025-11-05 21:13:31,145 ERROR: Encountered non-finite generator loss at iter 11066; skipping update. +2025-11-05 21:13:31,146 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,147 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,148 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:31,148 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.12, max=13.94, mean=0.026, std=3.5, absmax=15.12 +2025-11-05 21:13:31,150 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=13.56, mean=0.03882, std=3.203, absmax=13.56 +2025-11-05 21:13:31,568 ERROR: Encountered non-finite generator loss at iter 11067; skipping update. +2025-11-05 21:13:31,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,571 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:31,572 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=11.62, mean=-0.2021, std=2.797, absmax=12.81 +2025-11-05 21:13:31,572 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=10.25, mean=-0.2002, std=2.641, absmax=11.5 +2025-11-05 21:13:31,991 ERROR: Encountered non-finite generator loss at iter 11068; skipping update. +2025-11-05 21:13:31,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,993 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:31,994 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:31,995 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=12.5, mean=-0.2246, std=3.328, absmax=13.75 +2025-11-05 21:13:31,995 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=10.81, mean=-0.2002, std=3.094, absmax=12.62 +2025-11-05 21:13:32,414 ERROR: Encountered non-finite generator loss at iter 11069; skipping update. +2025-11-05 21:13:32,415 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:32,416 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:32,416 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:32,417 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:32,419 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=14.25, mean=-0.04883, std=3.172, absmax=14.25 +2025-11-05 21:13:32,419 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.62, max=14, mean=-0.05591, std=3.016, absmax=14 +2025-11-05 21:13:32,838 ERROR: Encountered non-finite generator loss at iter 11070; skipping update. +2025-11-05 21:13:32,839 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:32,841 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:32,841 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:32,842 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:32,843 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=12.62, mean=-0.1973, std=2.859, absmax=12.62 +2025-11-05 21:13:32,844 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=13.31, mean=-0.1943, std=2.781, absmax=13.31 +2025-11-05 21:13:33,265 ERROR: Encountered non-finite generator loss at iter 11071; skipping update. +2025-11-05 21:13:33,266 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:33,268 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:33,268 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:33,268 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:33,269 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=14.44, mean=-0.1133, std=3.125, absmax=14.44 +2025-11-05 21:13:33,270 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.25, max=13.5, mean=-0.1064, std=2.922, absmax=13.5 +2025-11-05 21:13:33,690 ERROR: Encountered non-finite generator loss at iter 11072; skipping update. +2025-11-05 21:13:33,691 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:33,692 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:33,693 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:33,694 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:33,695 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=10.94, mean=-0.2031, std=2.5, absmax=12.62 +2025-11-05 21:13:33,696 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=9.5, mean=-0.1885, std=2.375, absmax=11.06 +2025-11-05 21:13:34,115 ERROR: Encountered non-finite generator loss at iter 11073; skipping update. +2025-11-05 21:13:34,116 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,117 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,117 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,117 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:34,118 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=12.69, mean=-0.2393, std=2.547, absmax=14 +2025-11-05 21:13:34,119 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=10.69, mean=-0.2109, std=2.344, absmax=11.12 +2025-11-05 21:13:34,538 ERROR: Encountered non-finite generator loss at iter 11074; skipping update. +2025-11-05 21:13:34,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,540 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,540 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,541 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:34,543 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=13.88, mean=0.009216, std=3.062, absmax=13.88 +2025-11-05 21:13:34,543 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.56, max=12.94, mean=-0.005249, std=2.828, absmax=12.94 +2025-11-05 21:13:34,962 ERROR: Encountered non-finite generator loss at iter 11075; skipping update. +2025-11-05 21:13:34,963 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,964 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,965 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:34,966 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:34,967 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.38, max=11.88, mean=-0.167, std=2.359, absmax=11.88 +2025-11-05 21:13:34,968 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.38, max=11.06, mean=-0.1436, std=2.234, absmax=11.06 +2025-11-05 21:13:35,386 ERROR: Encountered non-finite generator loss at iter 11076; skipping update. +2025-11-05 21:13:35,387 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:35,388 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:35,388 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:35,389 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:35,389 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.94, max=14.06, mean=-0.1167, std=3.203, absmax=15.94 +2025-11-05 21:13:35,391 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.12, max=12.94, mean=-0.1079, std=2.891, absmax=13.12 +2025-11-05 21:13:35,809 ERROR: Encountered non-finite generator loss at iter 11077; skipping update. +2025-11-05 21:13:35,810 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:35,811 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:35,811 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:35,812 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:35,813 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=13, mean=-0.2578, std=2.938, absmax=13.31 +2025-11-05 21:13:35,814 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=11.94, mean=-0.2266, std=2.797, absmax=12.44 +2025-11-05 21:13:36,233 ERROR: Encountered non-finite generator loss at iter 11078; skipping update. +2025-11-05 21:13:36,234 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:36,235 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:36,235 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:36,235 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:36,237 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=11.12, mean=-0.2246, std=2.688, absmax=12.56 +2025-11-05 21:13:36,238 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=10.38, mean=-0.2227, std=2.484, absmax=12.19 +2025-11-05 21:13:36,657 ERROR: Encountered non-finite generator loss at iter 11079; skipping update. +2025-11-05 21:13:36,658 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:36,659 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:36,659 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:36,660 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:36,661 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=12.38, mean=-0.08105, std=3.469, absmax=13.12 +2025-11-05 21:13:36,661 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=13.25, mean=-0.1167, std=3.141, absmax=13.25 +2025-11-05 21:13:37,080 ERROR: Encountered non-finite generator loss at iter 11080; skipping update. +2025-11-05 21:13:37,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,083 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,083 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:37,084 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.06, max=14.5, mean=-0.1406, std=2.953, absmax=14.5 +2025-11-05 21:13:37,085 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.5, max=13.25, mean=-0.1235, std=2.766, absmax=13.5 +2025-11-05 21:13:37,503 ERROR: Encountered non-finite generator loss at iter 11081; skipping update. +2025-11-05 21:13:37,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,506 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,506 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:37,507 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=13.81, mean=-0.209, std=3.266, absmax=14.31 +2025-11-05 21:13:37,508 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.69, max=11.62, mean=-0.1846, std=3.047, absmax=13.69 +2025-11-05 21:13:37,927 ERROR: Encountered non-finite generator loss at iter 11082; skipping update. +2025-11-05 21:13:37,928 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,928 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:37,930 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:37,932 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=14.12, mean=-0.06543, std=3.328, absmax=14.12 +2025-11-05 21:13:37,933 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=13.62, mean=-0.06201, std=3.047, absmax=13.62 +2025-11-05 21:13:38,351 ERROR: Encountered non-finite generator loss at iter 11083; skipping update. +2025-11-05 21:13:38,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:38,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:38,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:38,354 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:38,355 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=12.62, mean=-0.1787, std=3.203, absmax=13.81 +2025-11-05 21:13:38,356 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.94, max=11.19, mean=-0.2227, std=2.984, absmax=12.94 +2025-11-05 21:13:38,775 ERROR: Encountered non-finite generator loss at iter 11084; skipping update. +2025-11-05 21:13:38,776 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:38,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:38,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:38,778 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:38,779 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=12, mean=-0.2285, std=2.688, absmax=12.69 +2025-11-05 21:13:38,780 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=10, mean=-0.208, std=2.484, absmax=12.38 +2025-11-05 21:13:39,198 ERROR: Encountered non-finite generator loss at iter 11085; skipping update. +2025-11-05 21:13:39,199 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:39,200 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:39,201 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:39,202 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:39,203 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=14.06, mean=-0.1592, std=2.859, absmax=14.06 +2025-11-05 21:13:39,204 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=12.81, mean=-0.1514, std=2.625, absmax=12.81 +2025-11-05 21:13:39,622 ERROR: Encountered non-finite generator loss at iter 11086; skipping update. +2025-11-05 21:13:39,623 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:39,624 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:39,625 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:39,626 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:39,627 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.88, max=15.25, mean=-0.006378, std=3.203, absmax=15.25 +2025-11-05 21:13:39,628 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=12.81, mean=-0.02209, std=2.922, absmax=12.81 +2025-11-05 21:13:40,046 ERROR: Encountered non-finite generator loss at iter 11087; skipping update. +2025-11-05 21:13:40,047 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,049 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,050 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,051 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:40,052 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=13, mean=0.0177, std=3.188, absmax=13 +2025-11-05 21:13:40,052 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=12.5, mean=0.04004, std=3.016, absmax=12.5 +2025-11-05 21:13:40,472 ERROR: Encountered non-finite generator loss at iter 11088; skipping update. +2025-11-05 21:13:40,473 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,474 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,474 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,476 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:40,477 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=12.12, mean=-0.08203, std=3.078, absmax=13.75 +2025-11-05 21:13:40,477 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=11.12, mean=-0.08594, std=2.812, absmax=11.5 +2025-11-05 21:13:40,897 ERROR: Encountered non-finite generator loss at iter 11089; skipping update. +2025-11-05 21:13:40,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:40,901 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:40,902 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=12.88, mean=-0.05737, std=2.969, absmax=12.88 +2025-11-05 21:13:40,903 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=13.12, mean=-0.06543, std=2.859, absmax=13.12 +2025-11-05 21:13:41,321 ERROR: Encountered non-finite generator loss at iter 11090; skipping update. +2025-11-05 21:13:41,322 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:41,323 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:41,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:41,325 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:41,326 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=13, mean=-0.2637, std=2.734, absmax=13 +2025-11-05 21:13:41,327 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=12.31, mean=-0.2617, std=2.609, absmax=12.31 +2025-11-05 21:13:41,747 ERROR: Encountered non-finite generator loss at iter 11091; skipping update. +2025-11-05 21:13:41,749 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:41,750 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:41,751 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:41,752 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:41,753 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=15.25, mean=-0.167, std=2.969, absmax=15.25 +2025-11-05 21:13:41,754 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.38, max=12.5, mean=-0.1777, std=2.734, absmax=13.38 +2025-11-05 21:13:42,177 ERROR: Encountered non-finite generator loss at iter 11092; skipping update. +2025-11-05 21:13:42,178 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:42,179 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:42,180 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:42,181 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:42,183 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=15.38, mean=-0.2734, std=2.703, absmax=15.38 +2025-11-05 21:13:42,184 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=15.12, mean=-0.2363, std=2.516, absmax=15.12 +2025-11-05 21:13:42,627 ERROR: Encountered non-finite generator loss at iter 11093; skipping update. +2025-11-05 21:13:42,628 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:42,629 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:42,630 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:42,631 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:42,632 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.75, max=16.88, mean=0.05786, std=3.406, absmax=16.88 +2025-11-05 21:13:42,632 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=17.5, mean=0.03442, std=3.203, absmax=17.5 +2025-11-05 21:13:43,051 ERROR: Encountered non-finite generator loss at iter 11094; skipping update. +2025-11-05 21:13:43,052 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,053 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,053 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,053 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:43,055 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=13.38, mean=-0.1436, std=2.703, absmax=13.44 +2025-11-05 21:13:43,056 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=11.75, mean=-0.1104, std=2.578, absmax=11.94 +2025-11-05 21:13:43,475 ERROR: Encountered non-finite generator loss at iter 11095; skipping update. +2025-11-05 21:13:43,476 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,478 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:43,479 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-18, max=15.19, mean=-0.08301, std=3.297, absmax=18 +2025-11-05 21:13:43,479 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-17.25, max=14.69, mean=-0.07275, std=3.047, absmax=17.25 +2025-11-05 21:13:43,900 ERROR: Encountered non-finite generator loss at iter 11096; skipping update. +2025-11-05 21:13:43,901 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,903 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:43,905 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:43,906 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=13.81, mean=-0.1289, std=2.891, absmax=13.81 +2025-11-05 21:13:43,907 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.69, max=12.75, mean=-0.1338, std=2.688, absmax=12.75 +2025-11-05 21:13:44,327 ERROR: Encountered non-finite generator loss at iter 11097; skipping update. +2025-11-05 21:13:44,328 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:44,329 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:44,329 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:44,329 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:44,331 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=16.88, mean=-0.2207, std=3.172, absmax=16.88 +2025-11-05 21:13:44,332 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=15, mean=-0.2363, std=3, absmax=15 +2025-11-05 21:13:44,751 ERROR: Encountered non-finite generator loss at iter 11098; skipping update. +2025-11-05 21:13:44,752 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:44,753 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:44,753 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:44,754 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:44,755 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=14.19, mean=-0.1982, std=3.234, absmax=14.19 +2025-11-05 21:13:44,756 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=11.94, mean=-0.2021, std=3.141, absmax=12.81 +2025-11-05 21:13:45,175 ERROR: Encountered non-finite generator loss at iter 11099; skipping update. +2025-11-05 21:13:45,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:45,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:45,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:45,178 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:45,179 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=12.19, mean=-0.2344, std=2.859, absmax=12.19 +2025-11-05 21:13:45,180 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.25, max=11, mean=-0.2559, std=2.719, absmax=11.25 +2025-11-05 21:13:45,598 ERROR: Encountered non-finite generator loss at iter 11100; skipping update. +2025-11-05 21:13:45,599 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:45,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:45,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:45,600 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:45,602 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.31, max=12.56, mean=-0.1689, std=2.766, absmax=15.31 +2025-11-05 21:13:45,603 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=10.44, mean=-0.1699, std=2.562, absmax=12.12 +2025-11-05 21:13:45,604 INFO: [40..][epoch: 0, step: 11,100, lr:(2.000e-04,)] [eta: 1 day, 20:28:39, time (data): 0.425 (0.000)] +2025-11-05 21:13:46,022 ERROR: Encountered non-finite generator loss at iter 11101; skipping update. +2025-11-05 21:13:46,023 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,024 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,025 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,026 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:46,027 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=14.31, mean=-0.02368, std=3.25, absmax=14.31 +2025-11-05 21:13:46,028 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=13.81, mean=-0.01056, std=3.047, absmax=13.81 +2025-11-05 21:13:46,446 ERROR: Encountered non-finite generator loss at iter 11102; skipping update. +2025-11-05 21:13:46,447 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,448 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,449 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,450 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:46,451 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=11.44, mean=-0.2363, std=3.109, absmax=13.25 +2025-11-05 21:13:46,452 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=10.69, mean=-0.2314, std=2.875, absmax=11.75 +2025-11-05 21:13:46,870 ERROR: Encountered non-finite generator loss at iter 11103; skipping update. +2025-11-05 21:13:46,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,873 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,873 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:46,873 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:46,874 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.12, max=13.19, mean=-0.1348, std=3.25, absmax=13.19 +2025-11-05 21:13:46,875 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=12.12, mean=-0.123, std=2.938, absmax=12.38 +2025-11-05 21:13:47,294 ERROR: Encountered non-finite generator loss at iter 11104; skipping update. +2025-11-05 21:13:47,295 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:47,296 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:47,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:47,297 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:47,298 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.69, max=13.62, mean=-0.1807, std=3.281, absmax=15.69 +2025-11-05 21:13:47,299 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.94, max=12.25, mean=-0.1621, std=2.984, absmax=13.94 +2025-11-05 21:13:47,719 ERROR: Encountered non-finite generator loss at iter 11105; skipping update. +2025-11-05 21:13:47,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:47,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:47,721 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:47,722 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:47,723 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=14.44, mean=-0.1348, std=2.891, absmax=14.44 +2025-11-05 21:13:47,724 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.56, mean=-0.1152, std=2.734, absmax=12.06 +2025-11-05 21:13:48,143 ERROR: Encountered non-finite generator loss at iter 11106; skipping update. +2025-11-05 21:13:48,144 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:48,145 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:48,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:48,146 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:48,146 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=13.62, mean=-0.09766, std=3.438, absmax=13.62 +2025-11-05 21:13:48,147 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.38, max=14.56, mean=-0.106, std=3.266, absmax=14.56 +2025-11-05 21:13:48,589 ERROR: Encountered non-finite generator loss at iter 11107; skipping update. +2025-11-05 21:13:48,590 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:48,591 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:48,592 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:48,592 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:48,593 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.5, max=17, mean=-0.1143, std=3.016, absmax=17 +2025-11-05 21:13:48,594 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.69, max=14.56, mean=-0.09961, std=2.844, absmax=14.56 +2025-11-05 21:13:49,013 ERROR: Encountered non-finite generator loss at iter 11108; skipping update. +2025-11-05 21:13:49,014 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,015 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,015 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,016 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:49,017 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.25, max=14.44, mean=-0.1982, std=2.953, absmax=14.44 +2025-11-05 21:13:49,018 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=12.69, mean=-0.2031, std=2.75, absmax=12.69 +2025-11-05 21:13:49,437 ERROR: Encountered non-finite generator loss at iter 11109; skipping update. +2025-11-05 21:13:49,438 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,439 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,439 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,439 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:49,440 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=12.75, mean=-0.1025, std=2.766, absmax=12.75 +2025-11-05 21:13:49,441 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.88, max=10.94, mean=-0.06738, std=2.656, absmax=10.94 +2025-11-05 21:13:49,859 ERROR: Encountered non-finite generator loss at iter 11110; skipping update. +2025-11-05 21:13:49,861 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,862 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:49,865 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:49,866 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=13.19, mean=-0.2217, std=3.109, absmax=13.81 +2025-11-05 21:13:49,867 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=12.69, mean=-0.2383, std=2.922, absmax=12.75 +2025-11-05 21:13:50,286 ERROR: Encountered non-finite generator loss at iter 11111; skipping update. +2025-11-05 21:13:50,287 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:50,288 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:50,288 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:50,289 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:50,291 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=14.88, mean=-0.334, std=3.25, absmax=14.88 +2025-11-05 21:13:50,292 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=11.25, mean=-0.291, std=2.906, absmax=11.81 +2025-11-05 21:13:50,708 ERROR: Encountered non-finite generator loss at iter 11112; skipping update. +2025-11-05 21:13:50,710 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:50,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:50,711 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:50,712 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:50,713 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.62, max=14, mean=0.08984, std=3.672, absmax=14 +2025-11-05 21:13:50,714 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=13.44, mean=0.1138, std=3.406, absmax=13.44 +2025-11-05 21:13:51,131 ERROR: Encountered non-finite generator loss at iter 11113; skipping update. +2025-11-05 21:13:51,132 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,133 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,134 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:51,135 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=13.31, mean=-0.09521, std=3.156, absmax=13.31 +2025-11-05 21:13:51,136 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=12.75, mean=-0.08203, std=2.938, absmax=12.75 +2025-11-05 21:13:51,555 ERROR: Encountered non-finite generator loss at iter 11114; skipping update. +2025-11-05 21:13:51,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,558 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:51,559 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.69, max=11.75, mean=-0.1348, std=2.531, absmax=11.75 +2025-11-05 21:13:51,560 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=9.125, mean=-0.1475, std=2.328, absmax=11.38 +2025-11-05 21:13:51,979 ERROR: Encountered non-finite generator loss at iter 11115; skipping update. +2025-11-05 21:13:51,980 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,982 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:51,983 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:51,984 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=13.06, mean=-0.05908, std=3.484, absmax=13.69 +2025-11-05 21:13:51,985 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=12.56, mean=-0.05811, std=3.141, absmax=12.56 +2025-11-05 21:13:52,402 ERROR: Encountered non-finite generator loss at iter 11116; skipping update. +2025-11-05 21:13:52,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:52,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:52,405 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:52,405 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:52,406 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=13.12, mean=-0.1807, std=3.156, absmax=14.19 +2025-11-05 21:13:52,407 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=11.31, mean=-0.1553, std=2.875, absmax=12.62 +2025-11-05 21:13:52,824 ERROR: Encountered non-finite generator loss at iter 11117; skipping update. +2025-11-05 21:13:52,826 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:52,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:52,827 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:52,827 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:52,828 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=12.5, mean=-0.1016, std=3.25, absmax=14.19 +2025-11-05 21:13:52,828 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=11.75, mean=-0.1113, std=3.094, absmax=12.38 +2025-11-05 21:13:53,248 ERROR: Encountered non-finite generator loss at iter 11118; skipping update. +2025-11-05 21:13:53,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:53,250 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:53,250 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:53,251 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:53,252 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=15.19, mean=-0.1133, std=2.719, absmax=15.19 +2025-11-05 21:13:53,253 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.69, max=12.88, mean=-0.09814, std=2.516, absmax=12.88 +2025-11-05 21:13:53,672 ERROR: Encountered non-finite generator loss at iter 11119; skipping update. +2025-11-05 21:13:53,673 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:53,674 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:53,674 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:53,676 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:53,677 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-17, max=14.19, mean=-0.1074, std=2.938, absmax=17 +2025-11-05 21:13:53,678 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.81, max=13.44, mean=-0.08887, std=2.688, absmax=14.81 +2025-11-05 21:13:54,095 ERROR: Encountered non-finite generator loss at iter 11120; skipping update. +2025-11-05 21:13:54,096 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,097 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,098 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,098 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:54,099 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.31, max=13.38, mean=-0.1973, std=2.484, absmax=15.31 +2025-11-05 21:13:54,100 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=10.69, mean=-0.2051, std=2.359, absmax=12.81 +2025-11-05 21:13:54,517 ERROR: Encountered non-finite generator loss at iter 11121; skipping update. +2025-11-05 21:13:54,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,520 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,521 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,522 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:54,523 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.81, max=13.06, mean=0.03833, std=2.984, absmax=14.81 +2025-11-05 21:13:54,524 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.06, max=12, mean=0.0166, std=2.734, absmax=14.06 +2025-11-05 21:13:54,942 ERROR: Encountered non-finite generator loss at iter 11122; skipping update. +2025-11-05 21:13:54,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,945 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:54,945 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:54,946 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=13.69, mean=-0.2207, std=3, absmax=13.75 +2025-11-05 21:13:54,947 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=13, mean=-0.2051, std=2.859, absmax=13 +2025-11-05 21:13:55,365 ERROR: Encountered non-finite generator loss at iter 11123; skipping update. +2025-11-05 21:13:55,366 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:55,367 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:55,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:55,368 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:55,369 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=15.25, mean=-0.0354, std=3.422, absmax=15.25 +2025-11-05 21:13:55,369 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=13.81, mean=-0.03882, std=3.281, absmax=13.81 +2025-11-05 21:13:55,788 ERROR: Encountered non-finite generator loss at iter 11124; skipping update. +2025-11-05 21:13:55,789 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:55,790 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:55,790 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:55,791 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:55,792 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=15.88, mean=-0.1216, std=2.797, absmax=15.88 +2025-11-05 21:13:55,793 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=14.31, mean=-0.1074, std=2.641, absmax=14.31 +2025-11-05 21:13:56,210 ERROR: Encountered non-finite generator loss at iter 11125; skipping update. +2025-11-05 21:13:56,211 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:56,212 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:56,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:56,213 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:56,214 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.88, max=15.69, mean=-0.1035, std=3.125, absmax=16.88 +2025-11-05 21:13:56,215 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.56, max=14, mean=-0.08789, std=2.906, absmax=14 +2025-11-05 21:13:56,634 ERROR: Encountered non-finite generator loss at iter 11126; skipping update. +2025-11-05 21:13:56,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:56,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:56,636 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:56,637 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:56,638 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=15.69, mean=-0.252, std=2.953, absmax=15.69 +2025-11-05 21:13:56,639 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=13, mean=-0.2188, std=2.766, absmax=13 +2025-11-05 21:13:57,058 ERROR: Encountered non-finite generator loss at iter 11127; skipping update. +2025-11-05 21:13:57,059 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,061 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,062 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:57,063 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.88, max=13.56, mean=0.01538, std=2.984, absmax=13.56 +2025-11-05 21:13:57,064 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=12.81, mean=-0.021, std=2.875, absmax=12.81 +2025-11-05 21:13:57,502 ERROR: Encountered non-finite generator loss at iter 11128; skipping update. +2025-11-05 21:13:57,504 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,505 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,505 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,506 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:57,507 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=14.88, mean=0.007385, std=3.141, absmax=14.88 +2025-11-05 21:13:57,508 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=14.25, mean=-0.004761, std=3.031, absmax=14.25 +2025-11-05 21:13:57,926 ERROR: Encountered non-finite generator loss at iter 11129; skipping update. +2025-11-05 21:13:57,928 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,929 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,929 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:57,930 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:57,930 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=13.12, mean=-0.1309, std=2.953, absmax=13.12 +2025-11-05 21:13:57,931 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=11.69, mean=-0.0874, std=2.812, absmax=11.69 +2025-11-05 21:13:58,351 ERROR: Encountered non-finite generator loss at iter 11130; skipping update. +2025-11-05 21:13:58,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:58,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:58,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:58,354 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:58,355 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=17.25, mean=0.02527, std=3.641, absmax=17.25 +2025-11-05 21:13:58,356 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=15.12, mean=0.02307, std=3.312, absmax=15.12 +2025-11-05 21:13:58,774 ERROR: Encountered non-finite generator loss at iter 11131; skipping update. +2025-11-05 21:13:58,775 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:58,777 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:58,777 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:58,778 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:58,779 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=13.62, mean=-0.1445, std=2.703, absmax=13.62 +2025-11-05 21:13:58,780 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.75, max=10.06, mean=-0.1196, std=2.469, absmax=10.75 +2025-11-05 21:13:59,199 ERROR: Encountered non-finite generator loss at iter 11132; skipping update. +2025-11-05 21:13:59,200 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:59,201 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:59,202 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:59,204 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:59,205 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=12, mean=-0.2363, std=3.016, absmax=12.62 +2025-11-05 21:13:59,206 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=10, mean=-0.2051, std=2.828, absmax=12.69 +2025-11-05 21:13:59,623 ERROR: Encountered non-finite generator loss at iter 11133; skipping update. +2025-11-05 21:13:59,624 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:59,625 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:13:59,626 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:13:59,626 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:13:59,627 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=12.62, mean=-0.1079, std=3.047, absmax=12.62 +2025-11-05 21:13:59,628 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.88, max=11.25, mean=-0.05273, std=2.844, absmax=11.25 +2025-11-05 21:14:00,045 ERROR: Encountered non-finite generator loss at iter 11134; skipping update. +2025-11-05 21:14:00,046 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,047 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,047 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,047 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:00,048 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=13.88, mean=-0.1377, std=2.781, absmax=13.88 +2025-11-05 21:14:00,049 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=11.31, mean=-0.1187, std=2.5, absmax=11.44 +2025-11-05 21:14:00,466 ERROR: Encountered non-finite generator loss at iter 11135; skipping update. +2025-11-05 21:14:00,467 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,469 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:00,470 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.62, max=12.94, mean=-0.1875, std=3.062, absmax=15.62 +2025-11-05 21:14:00,471 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=12.81, mean=-0.1826, std=2.891, absmax=12.81 +2025-11-05 21:14:00,890 ERROR: Encountered non-finite generator loss at iter 11136; skipping update. +2025-11-05 21:14:00,891 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,892 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:00,893 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:00,894 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=16.5, mean=-0.05225, std=3.047, absmax=16.5 +2025-11-05 21:14:00,895 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=14.56, mean=-0.07422, std=2.812, absmax=14.56 +2025-11-05 21:14:01,311 ERROR: Encountered non-finite generator loss at iter 11137; skipping update. +2025-11-05 21:14:01,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:01,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:01,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:01,315 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:01,316 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=13.81, mean=-0.1523, std=3.219, absmax=13.88 +2025-11-05 21:14:01,317 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.19, max=13.38, mean=-0.09375, std=3.016, absmax=13.38 +2025-11-05 21:14:01,735 ERROR: Encountered non-finite generator loss at iter 11138; skipping update. +2025-11-05 21:14:01,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:01,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:01,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:01,738 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:01,740 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=14.12, mean=-0.1167, std=2.984, absmax=14.12 +2025-11-05 21:14:01,741 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=12.19, mean=-0.1162, std=2.781, absmax=12.19 +2025-11-05 21:14:02,158 ERROR: Encountered non-finite generator loss at iter 11139; skipping update. +2025-11-05 21:14:02,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:02,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:02,160 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:02,161 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:02,162 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=16.25, mean=-0.1943, std=3.031, absmax=16.25 +2025-11-05 21:14:02,164 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.25, max=16.12, mean=-0.2002, std=2.719, absmax=16.12 +2025-11-05 21:14:02,581 ERROR: Encountered non-finite generator loss at iter 11140; skipping update. +2025-11-05 21:14:02,582 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:02,583 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:02,583 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:02,584 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:02,585 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=12.69, mean=-0.01166, std=3.047, absmax=14 +2025-11-05 21:14:02,586 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=11.38, mean=-0.03369, std=2.828, absmax=11.5 +2025-11-05 21:14:03,003 ERROR: Encountered non-finite generator loss at iter 11141; skipping update. +2025-11-05 21:14:03,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,005 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,006 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:03,007 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.44, max=15, mean=0.07031, std=3.859, absmax=15.44 +2025-11-05 21:14:03,008 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=14.69, mean=0.08789, std=3.609, absmax=14.69 +2025-11-05 21:14:03,425 ERROR: Encountered non-finite generator loss at iter 11142; skipping update. +2025-11-05 21:14:03,426 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,428 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:03,429 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.12, max=13.56, mean=0.02478, std=3.312, absmax=15.12 +2025-11-05 21:14:03,430 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=12.88, mean=0.009338, std=3.078, absmax=12.88 +2025-11-05 21:14:03,848 ERROR: Encountered non-finite generator loss at iter 11143; skipping update. +2025-11-05 21:14:03,849 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,850 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:03,850 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:03,852 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=15.62, mean=-0.2051, std=2.828, absmax=15.62 +2025-11-05 21:14:03,852 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=14.06, mean=-0.1885, std=2.594, absmax=14.06 +2025-11-05 21:14:04,269 ERROR: Encountered non-finite generator loss at iter 11144; skipping update. +2025-11-05 21:14:04,270 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:04,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:04,272 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:04,273 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:04,274 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=15.5, mean=-0.1147, std=3.203, absmax=15.5 +2025-11-05 21:14:04,274 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=14, mean=-0.1167, std=2.922, absmax=14 +2025-11-05 21:14:04,692 ERROR: Encountered non-finite generator loss at iter 11145; skipping update. +2025-11-05 21:14:04,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:04,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:04,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:04,695 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:04,696 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.12, max=10.75, mean=-0.2559, std=2.641, absmax=12.12 +2025-11-05 21:14:04,697 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=9.375, mean=-0.2695, std=2.5, absmax=11.69 +2025-11-05 21:14:05,117 ERROR: Encountered non-finite generator loss at iter 11146; skipping update. +2025-11-05 21:14:05,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,120 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,121 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:05,122 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.25, max=12.19, mean=-0.2314, std=3, absmax=14.25 +2025-11-05 21:14:05,123 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=10.81, mean=-0.2051, std=2.844, absmax=12.38 +2025-11-05 21:14:05,542 ERROR: Encountered non-finite generator loss at iter 11147; skipping update. +2025-11-05 21:14:05,543 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,544 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,547 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:05,548 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=16.38, mean=0.02893, std=3.469, absmax=16.38 +2025-11-05 21:14:05,549 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=14.44, mean=0.06128, std=3.359, absmax=14.44 +2025-11-05 21:14:05,965 ERROR: Encountered non-finite generator loss at iter 11148; skipping update. +2025-11-05 21:14:05,967 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,968 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:05,968 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:05,969 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.62, max=15.38, mean=-0.1611, std=3.297, absmax=15.38 +2025-11-05 21:14:05,970 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=13.56, mean=-0.1099, std=3.109, absmax=13.56 +2025-11-05 21:14:06,387 ERROR: Encountered non-finite generator loss at iter 11149; skipping update. +2025-11-05 21:14:06,388 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:06,389 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:06,389 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:06,390 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:06,392 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.75, max=14.31, mean=-0.1309, std=3.078, absmax=14.75 +2025-11-05 21:14:06,392 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=12, mean=-0.1357, std=2.875, absmax=12.5 +2025-11-05 21:14:06,811 ERROR: Encountered non-finite generator loss at iter 11150; skipping update. +2025-11-05 21:14:06,812 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:06,813 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:06,813 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:06,814 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:06,815 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=16.75, mean=0.1167, std=3.719, absmax=16.75 +2025-11-05 21:14:06,816 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=15.06, mean=0.1162, std=3.516, absmax=15.06 +2025-11-05 21:14:07,234 ERROR: Encountered non-finite generator loss at iter 11151; skipping update. +2025-11-05 21:14:07,235 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:07,237 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:07,237 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:07,238 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:07,239 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.56, max=13.31, mean=-0.2285, std=2.891, absmax=15.56 +2025-11-05 21:14:07,240 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=12.94, mean=-0.2148, std=2.734, absmax=12.94 +2025-11-05 21:14:07,657 ERROR: Encountered non-finite generator loss at iter 11152; skipping update. +2025-11-05 21:14:07,659 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:07,660 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:07,660 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:07,660 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:07,661 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=14.44, mean=0.05103, std=3.078, absmax=14.44 +2025-11-05 21:14:07,662 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.12, max=11.75, mean=0.07324, std=2.812, absmax=14.12 +2025-11-05 21:14:08,080 ERROR: Encountered non-finite generator loss at iter 11153; skipping update. +2025-11-05 21:14:08,081 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,082 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,082 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,083 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:08,085 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.62, max=13.19, mean=-0.1299, std=3.078, absmax=13.19 +2025-11-05 21:14:08,085 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=12.06, mean=-0.1729, std=2.859, absmax=12.12 +2025-11-05 21:14:08,504 ERROR: Encountered non-finite generator loss at iter 11154; skipping update. +2025-11-05 21:14:08,505 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,506 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,507 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,508 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:08,510 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=13.38, mean=-0.1934, std=3.125, absmax=14.12 +2025-11-05 21:14:08,511 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.5, max=13.25, mean=-0.1982, std=2.969, absmax=13.5 +2025-11-05 21:14:08,929 ERROR: Encountered non-finite generator loss at iter 11155; skipping update. +2025-11-05 21:14:08,930 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,931 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,931 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:08,932 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:08,933 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=12.88, mean=-0.2891, std=3.109, absmax=13 +2025-11-05 21:14:08,934 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=11.75, mean=-0.3105, std=2.891, absmax=12.25 +2025-11-05 21:14:09,351 ERROR: Encountered non-finite generator loss at iter 11156; skipping update. +2025-11-05 21:14:09,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:09,354 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:09,354 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:09,354 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:09,355 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-20.5, max=13.94, mean=-0.1992, std=3.188, absmax=20.5 +2025-11-05 21:14:09,356 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-18, max=12.31, mean=-0.165, std=2.922, absmax=18 +2025-11-05 21:14:09,773 ERROR: Encountered non-finite generator loss at iter 11157; skipping update. +2025-11-05 21:14:09,774 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:09,776 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:09,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:09,776 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:09,777 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=14.88, mean=-0.2295, std=2.969, absmax=14.88 +2025-11-05 21:14:09,778 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=13.69, mean=-0.2412, std=2.875, absmax=13.69 +2025-11-05 21:14:10,197 ERROR: Encountered non-finite generator loss at iter 11158; skipping update. +2025-11-05 21:14:10,198 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:10,199 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:10,199 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:10,200 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:10,200 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=14, mean=-0.07666, std=3.391, absmax=14.31 +2025-11-05 21:14:10,201 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=13.75, mean=-0.01373, std=3.234, absmax=13.75 +2025-11-05 21:14:10,619 ERROR: Encountered non-finite generator loss at iter 11159; skipping update. +2025-11-05 21:14:10,620 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:10,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:10,622 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:10,622 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:10,624 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=17.62, mean=-0.02429, std=3.047, absmax=17.62 +2025-11-05 21:14:10,625 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=13.5, mean=-0.02319, std=2.797, absmax=13.5 +2025-11-05 21:14:11,043 ERROR: Encountered non-finite generator loss at iter 11160; skipping update. +2025-11-05 21:14:11,044 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,045 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,045 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,046 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:11,047 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=14.38, mean=-0.1758, std=2.984, absmax=14.38 +2025-11-05 21:14:11,048 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.06, max=13.25, mean=-0.1543, std=2.766, absmax=13.25 +2025-11-05 21:14:11,465 ERROR: Encountered non-finite generator loss at iter 11161; skipping update. +2025-11-05 21:14:11,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,468 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:11,469 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.5, max=12.56, mean=-0.2168, std=2.641, absmax=14.5 +2025-11-05 21:14:11,470 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=10.5, mean=-0.21, std=2.469, absmax=11.94 +2025-11-05 21:14:11,888 ERROR: Encountered non-finite generator loss at iter 11162; skipping update. +2025-11-05 21:14:11,890 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,891 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,891 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:11,891 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:11,892 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=16.62, mean=-0.2217, std=3.094, absmax=16.62 +2025-11-05 21:14:11,893 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=12.75, mean=-0.2012, std=2.844, absmax=12.75 +2025-11-05 21:14:12,311 ERROR: Encountered non-finite generator loss at iter 11163; skipping update. +2025-11-05 21:14:12,312 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:12,313 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:12,314 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:12,314 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:12,315 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=13.69, mean=-0.1533, std=2.688, absmax=13.69 +2025-11-05 21:14:12,316 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=11, mean=-0.1699, std=2.438, absmax=11 +2025-11-05 21:14:12,735 ERROR: Encountered non-finite generator loss at iter 11164; skipping update. +2025-11-05 21:14:12,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:12,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:12,737 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:12,737 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:12,739 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=13.5, mean=-0.209, std=2.875, absmax=13.5 +2025-11-05 21:14:12,739 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=11.88, mean=-0.1816, std=2.656, absmax=11.88 +2025-11-05 21:14:13,156 ERROR: Encountered non-finite generator loss at iter 11165; skipping update. +2025-11-05 21:14:13,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:13,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:13,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:13,160 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:13,161 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=15.12, mean=-0.04272, std=2.875, absmax=15.12 +2025-11-05 21:14:13,162 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=13.06, mean=-0.05566, std=2.625, absmax=13.06 +2025-11-05 21:14:13,579 ERROR: Encountered non-finite generator loss at iter 11166; skipping update. +2025-11-05 21:14:13,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:13,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:13,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:13,582 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:13,583 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=12.81, mean=-0.3125, std=2.734, absmax=12.81 +2025-11-05 21:14:13,584 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=11.44, mean=-0.3105, std=2.641, absmax=11.62 +2025-11-05 21:14:14,002 ERROR: Encountered non-finite generator loss at iter 11167; skipping update. +2025-11-05 21:14:14,003 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,004 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,004 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,005 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:14,006 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-10.75, max=11.06, mean=-0.293, std=2.406, absmax=11.06 +2025-11-05 21:14:14,007 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=10.62, mean=-0.2451, std=2.297, absmax=11.12 +2025-11-05 21:14:14,425 ERROR: Encountered non-finite generator loss at iter 11168; skipping update. +2025-11-05 21:14:14,426 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,427 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,428 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:14,429 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=12.94, mean=-0.2754, std=2.906, absmax=12.94 +2025-11-05 21:14:14,430 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=10.31, mean=-0.2295, std=2.719, absmax=11.94 +2025-11-05 21:14:14,847 ERROR: Encountered non-finite generator loss at iter 11169; skipping update. +2025-11-05 21:14:14,848 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,850 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,851 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:14,852 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:14,853 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.81, max=14.25, mean=-0.1367, std=2.828, absmax=14.25 +2025-11-05 21:14:14,854 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.75, max=13, mean=-0.1494, std=2.625, absmax=13 +2025-11-05 21:14:15,271 ERROR: Encountered non-finite generator loss at iter 11170; skipping update. +2025-11-05 21:14:15,272 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:15,273 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:15,274 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:15,274 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:15,275 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.25, max=13.88, mean=-0.2129, std=2.797, absmax=13.88 +2025-11-05 21:14:15,276 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=12.31, mean=-0.2236, std=2.656, absmax=12.31 +2025-11-05 21:14:15,694 ERROR: Encountered non-finite generator loss at iter 11171; skipping update. +2025-11-05 21:14:15,695 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:15,696 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:15,696 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:15,697 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:15,698 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-10.81, max=11.94, mean=-0.1895, std=2.734, absmax=11.94 +2025-11-05 21:14:15,699 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-9.875, max=10.69, mean=-0.1924, std=2.5, absmax=10.69 +2025-11-05 21:14:16,117 ERROR: Encountered non-finite generator loss at iter 11172; skipping update. +2025-11-05 21:14:16,118 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,119 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,119 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,120 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:16,121 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=14.75, mean=-0.09717, std=2.891, absmax=14.75 +2025-11-05 21:14:16,122 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=13.62, mean=-0.06494, std=2.641, absmax=13.62 +2025-11-05 21:14:16,538 ERROR: Encountered non-finite generator loss at iter 11173; skipping update. +2025-11-05 21:14:16,539 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,541 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,541 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,541 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:16,542 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.94, max=14.31, mean=-0.2246, std=3.375, absmax=14.94 +2025-11-05 21:14:16,543 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.25, max=12.69, mean=-0.1992, std=3.25, absmax=14.25 +2025-11-05 21:14:16,961 ERROR: Encountered non-finite generator loss at iter 11174; skipping update. +2025-11-05 21:14:16,962 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,963 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,964 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:16,965 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:16,966 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=17.12, mean=-0.3105, std=3.203, absmax=17.12 +2025-11-05 21:14:16,967 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=12, mean=-0.3105, std=2.906, absmax=12 +2025-11-05 21:14:17,383 ERROR: Encountered non-finite generator loss at iter 11175; skipping update. +2025-11-05 21:14:17,384 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:17,386 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:17,386 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:17,387 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:17,388 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.56, max=10.88, mean=-0.252, std=2.719, absmax=11.56 +2025-11-05 21:14:17,389 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=10.69, mean=-0.2539, std=2.656, absmax=12.38 +2025-11-05 21:14:17,806 ERROR: Encountered non-finite generator loss at iter 11176; skipping update. +2025-11-05 21:14:17,807 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:17,809 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:17,809 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:17,810 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:17,811 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=13.5, mean=-0.06543, std=3.047, absmax=13.5 +2025-11-05 21:14:17,812 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=12.44, mean=-0.0708, std=2.828, absmax=12.44 +2025-11-05 21:14:18,229 ERROR: Encountered non-finite generator loss at iter 11177; skipping update. +2025-11-05 21:14:18,230 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:18,231 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:18,232 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:18,233 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:18,234 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=12.69, mean=-0.3379, std=3.328, absmax=13.38 +2025-11-05 21:14:18,235 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=11.38, mean=-0.3359, std=3.094, absmax=12.81 +2025-11-05 21:14:18,653 ERROR: Encountered non-finite generator loss at iter 11178; skipping update. +2025-11-05 21:14:18,654 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:18,656 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:18,656 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:18,656 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:18,657 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=14.44, mean=-0.04834, std=3.469, absmax=14.44 +2025-11-05 21:14:18,658 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=13.06, mean=-0.05566, std=3.172, absmax=13.25 +2025-11-05 21:14:19,075 ERROR: Encountered non-finite generator loss at iter 11179; skipping update. +2025-11-05 21:14:19,076 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,077 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,078 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,078 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:19,079 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=14.12, mean=-0.06836, std=3.266, absmax=14.19 +2025-11-05 21:14:19,080 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=12.12, mean=-0.05664, std=3.016, absmax=13.25 +2025-11-05 21:14:19,497 ERROR: Encountered non-finite generator loss at iter 11180; skipping update. +2025-11-05 21:14:19,498 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,500 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,500 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,501 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:19,502 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=13.25, mean=-0.1318, std=2.969, absmax=14.19 +2025-11-05 21:14:19,503 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=12.81, mean=-0.1416, std=2.734, absmax=12.81 +2025-11-05 21:14:19,920 ERROR: Encountered non-finite generator loss at iter 11181; skipping update. +2025-11-05 21:14:19,921 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,922 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:19,924 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:19,925 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=14.31, mean=-0.04175, std=2.953, absmax=14.31 +2025-11-05 21:14:19,926 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=13.25, mean=-0.009338, std=2.719, absmax=13.25 +2025-11-05 21:14:20,344 ERROR: Encountered non-finite generator loss at iter 11182; skipping update. +2025-11-05 21:14:20,346 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:20,347 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:20,347 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:20,348 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:20,349 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.25, max=12.19, mean=-0.1602, std=3.094, absmax=14.25 +2025-11-05 21:14:20,350 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.69, max=11.5, mean=-0.1533, std=2.906, absmax=13.69 +2025-11-05 21:14:20,768 ERROR: Encountered non-finite generator loss at iter 11183; skipping update. +2025-11-05 21:14:20,769 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:20,771 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:20,771 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:20,772 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:20,773 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=11.5, mean=-0.2275, std=2.703, absmax=13.19 +2025-11-05 21:14:20,775 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=9.75, mean=-0.1904, std=2.594, absmax=12.69 +2025-11-05 21:14:21,195 ERROR: Encountered non-finite generator loss at iter 11184; skipping update. +2025-11-05 21:14:21,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:21,197 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:21,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:21,199 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:21,200 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=15.06, mean=-0.2246, std=2.906, absmax=15.06 +2025-11-05 21:14:21,201 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=13.56, mean=-0.1943, std=2.625, absmax=13.56 +2025-11-05 21:14:21,619 ERROR: Encountered non-finite generator loss at iter 11185; skipping update. +2025-11-05 21:14:21,620 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:21,621 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:21,621 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:21,622 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:21,622 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.75, max=13.5, mean=-0.1709, std=2.953, absmax=14.75 +2025-11-05 21:14:21,623 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=12.25, mean=-0.1641, std=2.719, absmax=13.06 +2025-11-05 21:14:22,041 ERROR: Encountered non-finite generator loss at iter 11186; skipping update. +2025-11-05 21:14:22,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,044 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,044 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:22,045 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=13.88, mean=-0.09863, std=3.656, absmax=13.88 +2025-11-05 21:14:22,046 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=13.06, mean=-0.09521, std=3.438, absmax=13.06 +2025-11-05 21:14:22,464 ERROR: Encountered non-finite generator loss at iter 11187; skipping update. +2025-11-05 21:14:22,465 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,467 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,467 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,469 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:22,470 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.12, max=14.38, mean=-0.1245, std=2.641, absmax=14.38 +2025-11-05 21:14:22,471 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.12, max=13.44, mean=-0.1216, std=2.531, absmax=13.44 +2025-11-05 21:14:22,889 ERROR: Encountered non-finite generator loss at iter 11188; skipping update. +2025-11-05 21:14:22,890 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,892 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,893 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:22,893 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:22,894 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=14.19, mean=-0.004578, std=3.125, absmax=14.19 +2025-11-05 21:14:22,895 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=12.88, mean=-0.05176, std=3, absmax=12.88 +2025-11-05 21:14:23,312 ERROR: Encountered non-finite generator loss at iter 11189; skipping update. +2025-11-05 21:14:23,313 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:23,314 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:23,315 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:23,316 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:23,317 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=12.19, mean=-0.209, std=3.016, absmax=14 +2025-11-05 21:14:23,318 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=11.5, mean=-0.1729, std=2.828, absmax=13.06 +2025-11-05 21:14:23,736 ERROR: Encountered non-finite generator loss at iter 11190; skipping update. +2025-11-05 21:14:23,737 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:23,738 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:23,739 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:23,740 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:23,741 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.06, max=14.44, mean=-0.07471, std=3.141, absmax=14.44 +2025-11-05 21:14:23,742 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.38, max=13.69, mean=-0.07861, std=2.969, absmax=14.38 +2025-11-05 21:14:24,160 ERROR: Encountered non-finite generator loss at iter 11191; skipping update. +2025-11-05 21:14:24,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:24,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:24,162 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:24,163 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:24,165 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=12.62, mean=-0.09277, std=3, absmax=13.44 +2025-11-05 21:14:24,166 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=11.12, mean=-0.07959, std=2.719, absmax=12.62 +2025-11-05 21:14:24,582 ERROR: Encountered non-finite generator loss at iter 11192; skipping update. +2025-11-05 21:14:24,583 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:24,585 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:24,586 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:24,586 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:24,587 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.25, max=15.12, mean=0.06543, std=3.234, absmax=16.25 +2025-11-05 21:14:24,588 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.94, max=14.12, mean=0.04956, std=3.016, absmax=14.94 +2025-11-05 21:14:25,005 ERROR: Encountered non-finite generator loss at iter 11193; skipping update. +2025-11-05 21:14:25,006 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,008 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,008 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:25,009 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=14.44, mean=-0.1299, std=3.062, absmax=14.44 +2025-11-05 21:14:25,009 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.69, mean=-0.09277, std=2.812, absmax=12.06 +2025-11-05 21:14:25,428 ERROR: Encountered non-finite generator loss at iter 11194; skipping update. +2025-11-05 21:14:25,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,431 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:25,432 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=10.75, mean=-0.2266, std=2.938, absmax=12.19 +2025-11-05 21:14:25,433 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.94, max=10.56, mean=-0.2158, std=2.734, absmax=12.94 +2025-11-05 21:14:25,850 ERROR: Encountered non-finite generator loss at iter 11195; skipping update. +2025-11-05 21:14:25,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:25,854 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:25,855 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=15.44, mean=-0.1475, std=2.75, absmax=15.44 +2025-11-05 21:14:25,856 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=12.88, mean=-0.1504, std=2.516, absmax=12.88 +2025-11-05 21:14:26,273 ERROR: Encountered non-finite generator loss at iter 11196; skipping update. +2025-11-05 21:14:26,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:26,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:26,276 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:26,277 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:26,278 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.12, max=12, mean=-0.1445, std=2.906, absmax=16.12 +2025-11-05 21:14:26,279 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=12.38, mean=-0.1064, std=2.812, absmax=12.88 +2025-11-05 21:14:26,696 ERROR: Encountered non-finite generator loss at iter 11197; skipping update. +2025-11-05 21:14:26,697 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:26,698 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:26,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:26,699 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:26,700 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.94, max=15.88, mean=-0.25, std=3.375, absmax=15.94 +2025-11-05 21:14:26,701 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.56, max=13.06, mean=-0.2119, std=3.062, absmax=13.56 +2025-11-05 21:14:27,121 ERROR: Encountered non-finite generator loss at iter 11198; skipping update. +2025-11-05 21:14:27,122 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,123 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,123 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,123 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:27,125 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.94, max=12.19, mean=-0.2119, std=3.219, absmax=14.94 +2025-11-05 21:14:27,125 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.38, max=11.88, mean=-0.2061, std=3.062, absmax=13.38 +2025-11-05 21:14:27,543 ERROR: Encountered non-finite generator loss at iter 11199; skipping update. +2025-11-05 21:14:27,544 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,545 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,546 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,546 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:27,547 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=12.56, mean=-0.1216, std=3.391, absmax=12.81 +2025-11-05 21:14:27,548 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=10.75, mean=-0.1011, std=3.078, absmax=12.69 +2025-11-05 21:14:27,965 ERROR: Encountered non-finite generator loss at iter 11200; skipping update. +2025-11-05 21:14:27,966 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,968 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,969 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:27,970 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:27,971 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.25, max=13.5, mean=-0.1035, std=3.312, absmax=15.25 +2025-11-05 21:14:27,972 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.25, max=12.25, mean=-0.08154, std=2.984, absmax=14.25 +2025-11-05 21:14:27,973 INFO: [40..][epoch: 0, step: 11,200, lr:(2.000e-04,)] [eta: 1 day, 20:09:41, time (data): 0.424 (0.000)] +2025-11-05 21:14:28,389 ERROR: Encountered non-finite generator loss at iter 11201; skipping update. +2025-11-05 21:14:28,390 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:28,392 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:28,392 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:28,392 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:28,393 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=14.06, mean=0.008789, std=3.172, absmax=14.06 +2025-11-05 21:14:28,394 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=13.38, mean=-0.004272, std=2.953, absmax=13.38 +2025-11-05 21:14:28,812 ERROR: Encountered non-finite generator loss at iter 11202; skipping update. +2025-11-05 21:14:28,814 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:28,815 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:28,815 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:28,815 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:28,816 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=14.06, mean=-0.1924, std=2.922, absmax=14.06 +2025-11-05 21:14:28,817 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=13.25, mean=-0.1816, std=2.75, absmax=13.25 +2025-11-05 21:14:29,235 ERROR: Encountered non-finite generator loss at iter 11203; skipping update. +2025-11-05 21:14:29,236 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:29,238 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:29,238 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:29,239 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:29,240 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=14.5, mean=-0.09082, std=3.625, absmax=14.5 +2025-11-05 21:14:29,241 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.38, max=13.5, mean=-0.09082, std=3.391, absmax=13.5 +2025-11-05 21:14:29,659 ERROR: Encountered non-finite generator loss at iter 11204; skipping update. +2025-11-05 21:14:29,660 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:29,661 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:29,661 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:29,662 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:29,663 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.44, max=12.69, mean=0.03613, std=3.219, absmax=14.44 +2025-11-05 21:14:29,664 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.38, max=11.69, mean=0.02832, std=2.922, absmax=13.38 +2025-11-05 21:14:30,081 ERROR: Encountered non-finite generator loss at iter 11205; skipping update. +2025-11-05 21:14:30,082 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,083 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,084 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,085 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:30,086 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.25, max=13.31, mean=-0.2109, std=2.938, absmax=15.25 +2025-11-05 21:14:30,087 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=12.56, mean=-0.1963, std=2.781, absmax=12.56 +2025-11-05 21:14:30,505 ERROR: Encountered non-finite generator loss at iter 11206; skipping update. +2025-11-05 21:14:30,506 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,507 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,507 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,508 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:30,509 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=12.25, mean=-0.1914, std=2.672, absmax=12.81 +2025-11-05 21:14:30,510 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=10.94, mean=-0.2139, std=2.438, absmax=11.19 +2025-11-05 21:14:30,928 ERROR: Encountered non-finite generator loss at iter 11207; skipping update. +2025-11-05 21:14:30,929 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,930 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,930 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:30,932 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:30,933 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=16.62, mean=0.007294, std=3.266, absmax=16.62 +2025-11-05 21:14:30,933 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=14.69, mean=-0.01709, std=3.031, absmax=14.69 +2025-11-05 21:14:31,350 ERROR: Encountered non-finite generator loss at iter 11208; skipping update. +2025-11-05 21:14:31,352 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:31,353 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:31,353 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:31,354 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:31,355 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=13, mean=-0.3164, std=2.891, absmax=13 +2025-11-05 21:14:31,356 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=10.94, mean=-0.2988, std=2.75, absmax=11.44 +2025-11-05 21:14:31,772 ERROR: Encountered non-finite generator loss at iter 11209; skipping update. +2025-11-05 21:14:31,773 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:31,775 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:31,776 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:31,777 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:31,778 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.62, max=14.25, mean=-0.07031, std=3.578, absmax=15.62 +2025-11-05 21:14:31,779 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.62, max=13, mean=-0.0791, std=3.391, absmax=14.62 +2025-11-05 21:14:32,195 ERROR: Encountered non-finite generator loss at iter 11210; skipping update. +2025-11-05 21:14:32,196 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:32,198 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:32,198 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:32,198 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:32,199 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=14.44, mean=-0.03931, std=3.328, absmax=14.44 +2025-11-05 21:14:32,200 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.38, max=12.81, mean=-0.01221, std=3.094, absmax=13.38 +2025-11-05 21:14:32,618 ERROR: Encountered non-finite generator loss at iter 11211; skipping update. +2025-11-05 21:14:32,619 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:32,620 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:32,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:32,620 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:32,622 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=14, mean=-0.165, std=2.891, absmax=14 +2025-11-05 21:14:32,623 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.06, max=11.81, mean=-0.1348, std=2.609, absmax=11.81 +2025-11-05 21:14:33,040 ERROR: Encountered non-finite generator loss at iter 11212; skipping update. +2025-11-05 21:14:33,041 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,042 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,043 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:33,044 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12, max=15.69, mean=-0.2168, std=2.953, absmax=15.69 +2025-11-05 21:14:33,045 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=14.31, mean=-0.2178, std=2.719, absmax=14.31 +2025-11-05 21:14:33,462 ERROR: Encountered non-finite generator loss at iter 11213; skipping update. +2025-11-05 21:14:33,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,466 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:33,467 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.81, max=15.19, mean=-0.05273, std=3.172, absmax=15.19 +2025-11-05 21:14:33,468 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=12, mean=-0.0603, std=2.906, absmax=12.75 +2025-11-05 21:14:33,885 ERROR: Encountered non-finite generator loss at iter 11214; skipping update. +2025-11-05 21:14:33,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:33,888 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:33,889 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=12.56, mean=-0.208, std=2.953, absmax=12.56 +2025-11-05 21:14:33,889 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.31, mean=-0.2061, std=2.781, absmax=12.06 +2025-11-05 21:14:34,307 ERROR: Encountered non-finite generator loss at iter 11215; skipping update. +2025-11-05 21:14:34,308 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:34,309 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:34,310 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:34,310 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:34,311 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=13.5, mean=0.01807, std=3.172, absmax=13.5 +2025-11-05 21:14:34,312 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=13, mean=0.03784, std=3, absmax=13 +2025-11-05 21:14:34,729 ERROR: Encountered non-finite generator loss at iter 11216; skipping update. +2025-11-05 21:14:34,730 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:34,731 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:34,732 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:34,732 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:34,733 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=12.62, mean=-0.0481, std=2.859, absmax=13.06 +2025-11-05 21:14:34,734 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=12, mean=-0.03687, std=2.672, absmax=12 +2025-11-05 21:14:35,151 ERROR: Encountered non-finite generator loss at iter 11217; skipping update. +2025-11-05 21:14:35,152 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:35,154 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:35,154 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:35,155 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:35,156 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.44, max=14.19, mean=-0.2832, std=3.344, absmax=14.44 +2025-11-05 21:14:35,157 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=11.56, mean=-0.248, std=3.141, absmax=12.81 +2025-11-05 21:14:35,575 ERROR: Encountered non-finite generator loss at iter 11218; skipping update. +2025-11-05 21:14:35,576 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:35,577 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:35,577 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:35,578 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:35,579 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.44, max=14.44, mean=0.02454, std=3.188, absmax=14.44 +2025-11-05 21:14:35,580 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=13.5, mean=0.02527, std=2.875, absmax=13.5 +2025-11-05 21:14:35,999 ERROR: Encountered non-finite generator loss at iter 11219; skipping update. +2025-11-05 21:14:36,000 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,001 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,002 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,002 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:36,003 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.5, max=13.56, mean=-0.1279, std=3.359, absmax=14.5 +2025-11-05 21:14:36,004 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.62, max=12.75, mean=-0.1187, std=3.172, absmax=13.62 +2025-11-05 21:14:36,423 ERROR: Encountered non-finite generator loss at iter 11220; skipping update. +2025-11-05 21:14:36,424 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,426 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,426 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,427 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:36,428 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=10.56, mean=-0.2109, std=2.797, absmax=12.69 +2025-11-05 21:14:36,429 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=9.5, mean=-0.2656, std=2.625, absmax=12.75 +2025-11-05 21:14:36,846 ERROR: Encountered non-finite generator loss at iter 11221; skipping update. +2025-11-05 21:14:36,847 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,849 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,849 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:36,850 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:36,851 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=11.81, mean=-0.2539, std=2.922, absmax=12.94 +2025-11-05 21:14:36,852 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=10.56, mean=-0.2373, std=2.656, absmax=11.62 +2025-11-05 21:14:37,270 ERROR: Encountered non-finite generator loss at iter 11222; skipping update. +2025-11-05 21:14:37,271 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:37,272 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:37,273 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:37,273 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:37,274 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12, max=12.5, mean=-0.1016, std=2.828, absmax=12.5 +2025-11-05 21:14:37,275 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=10.69, mean=-0.09131, std=2.531, absmax=11.06 +2025-11-05 21:14:37,692 ERROR: Encountered non-finite generator loss at iter 11223; skipping update. +2025-11-05 21:14:37,693 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:37,694 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:37,694 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:37,695 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:37,696 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=14.12, mean=-0.1025, std=2.797, absmax=14.12 +2025-11-05 21:14:37,697 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=12.69, mean=-0.104, std=2.625, absmax=12.69 +2025-11-05 21:14:38,114 ERROR: Encountered non-finite generator loss at iter 11224; skipping update. +2025-11-05 21:14:38,115 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,116 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,116 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,117 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:38,118 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=13.31, mean=-0.09277, std=2.844, absmax=13.44 +2025-11-05 21:14:38,119 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=11.62, mean=-0.09961, std=2.656, absmax=11.62 +2025-11-05 21:14:38,536 ERROR: Encountered non-finite generator loss at iter 11225; skipping update. +2025-11-05 21:14:38,537 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,538 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,539 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,539 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:38,540 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.5, max=13.31, mean=-0.1885, std=2.719, absmax=13.31 +2025-11-05 21:14:38,542 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.88, max=12, mean=-0.1641, std=2.422, absmax=12 +2025-11-05 21:14:38,958 ERROR: Encountered non-finite generator loss at iter 11226; skipping update. +2025-11-05 21:14:38,959 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,961 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,961 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:38,962 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:38,963 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.44, max=16.25, mean=0.009521, std=3.609, absmax=16.25 +2025-11-05 21:14:38,964 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.44, max=14.31, mean=0.006195, std=3.344, absmax=14.31 +2025-11-05 21:14:39,380 ERROR: Encountered non-finite generator loss at iter 11227; skipping update. +2025-11-05 21:14:39,381 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:39,383 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:39,383 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:39,383 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:39,384 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=16.75, mean=-0.208, std=3.016, absmax=16.75 +2025-11-05 21:14:39,385 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=14.31, mean=-0.1895, std=2.719, absmax=14.31 +2025-11-05 21:14:39,802 ERROR: Encountered non-finite generator loss at iter 11228; skipping update. +2025-11-05 21:14:39,803 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:39,804 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:39,804 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:39,805 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:39,806 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.69, max=12.88, mean=-0.1582, std=2.75, absmax=12.88 +2025-11-05 21:14:39,807 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.38, max=12.81, mean=-0.1377, std=2.625, absmax=12.81 +2025-11-05 21:14:40,224 ERROR: Encountered non-finite generator loss at iter 11229; skipping update. +2025-11-05 21:14:40,225 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:40,226 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:40,227 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:40,228 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:40,228 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=15.25, mean=0.03735, std=3.266, absmax=15.25 +2025-11-05 21:14:40,230 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=13.62, mean=0.05005, std=3.094, absmax=13.62 +2025-11-05 21:14:40,648 ERROR: Encountered non-finite generator loss at iter 11230; skipping update. +2025-11-05 21:14:40,649 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:40,650 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:40,650 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:40,650 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:40,651 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=12.88, mean=-0.2188, std=2.906, absmax=13.25 +2025-11-05 21:14:40,652 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=12, mean=-0.1953, std=2.703, absmax=12.5 +2025-11-05 21:14:41,068 ERROR: Encountered non-finite generator loss at iter 11231; skipping update. +2025-11-05 21:14:41,070 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,072 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,073 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:41,074 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=17.62, mean=-0.1445, std=2.703, absmax=17.62 +2025-11-05 21:14:41,075 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=15.88, mean=-0.1348, std=2.594, absmax=15.88 +2025-11-05 21:14:41,491 ERROR: Encountered non-finite generator loss at iter 11232; skipping update. +2025-11-05 21:14:41,492 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,494 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,494 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,495 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:41,497 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=11.56, mean=-0.2598, std=2.953, absmax=13.5 +2025-11-05 21:14:41,497 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=10.25, mean=-0.2305, std=2.734, absmax=11.75 +2025-11-05 21:14:41,914 ERROR: Encountered non-finite generator loss at iter 11233; skipping update. +2025-11-05 21:14:41,916 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,917 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,917 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:41,918 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:41,919 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=14.62, mean=-0.2168, std=3.219, absmax=14.62 +2025-11-05 21:14:41,920 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=12.88, mean=-0.1904, std=2.938, absmax=12.88 +2025-11-05 21:14:42,337 ERROR: Encountered non-finite generator loss at iter 11234; skipping update. +2025-11-05 21:14:42,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:42,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:42,340 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:42,340 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:42,341 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=15.31, mean=-0.01086, std=2.969, absmax=15.31 +2025-11-05 21:14:42,343 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=14.19, mean=-0.01105, std=2.797, absmax=14.19 +2025-11-05 21:14:42,760 ERROR: Encountered non-finite generator loss at iter 11235; skipping update. +2025-11-05 21:14:42,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:42,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:42,762 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:42,763 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:42,764 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=16.38, mean=-0.06152, std=2.688, absmax=16.38 +2025-11-05 21:14:42,765 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.56, max=14.12, mean=-0.09912, std=2.531, absmax=14.12 +2025-11-05 21:14:43,182 ERROR: Encountered non-finite generator loss at iter 11236; skipping update. +2025-11-05 21:14:43,183 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:43,184 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:43,184 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:43,184 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:43,186 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=10.25, mean=-0.1104, std=2.703, absmax=13.5 +2025-11-05 21:14:43,187 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=9.188, mean=-0.1084, std=2.547, absmax=11.44 +2025-11-05 21:14:43,604 ERROR: Encountered non-finite generator loss at iter 11237; skipping update. +2025-11-05 21:14:43,605 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:43,606 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:43,607 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:43,608 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:43,609 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.25, max=13.25, mean=-0.1123, std=2.812, absmax=13.25 +2025-11-05 21:14:43,610 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=11.81, mean=-0.1504, std=2.656, absmax=12.56 +2025-11-05 21:14:44,027 ERROR: Encountered non-finite generator loss at iter 11238; skipping update. +2025-11-05 21:14:44,028 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,029 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,029 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,029 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:44,031 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.88, max=11.81, mean=-0.2832, std=2.922, absmax=14.88 +2025-11-05 21:14:44,031 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=10.69, mean=-0.248, std=2.75, absmax=12.75 +2025-11-05 21:14:44,449 ERROR: Encountered non-finite generator loss at iter 11239; skipping update. +2025-11-05 21:14:44,450 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,451 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,452 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,452 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:44,453 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.06, max=11.44, mean=0.04761, std=3.031, absmax=14.06 +2025-11-05 21:14:44,454 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=11.12, mean=0.05444, std=2.859, absmax=11.94 +2025-11-05 21:14:44,871 ERROR: Encountered non-finite generator loss at iter 11240; skipping update. +2025-11-05 21:14:44,872 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,874 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,875 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:44,876 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:44,877 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=14.31, mean=-0.07715, std=3.188, absmax=14.31 +2025-11-05 21:14:44,878 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=13.19, mean=-0.08838, std=2.859, absmax=13.19 +2025-11-05 21:14:45,294 ERROR: Encountered non-finite generator loss at iter 11241; skipping update. +2025-11-05 21:14:45,296 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:45,297 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:45,297 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:45,298 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:45,299 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=14.31, mean=-0.3164, std=2.828, absmax=14.31 +2025-11-05 21:14:45,302 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=13.5, mean=-0.3164, std=2.641, absmax=13.5 +2025-11-05 21:14:45,719 ERROR: Encountered non-finite generator loss at iter 11242; skipping update. +2025-11-05 21:14:45,720 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:45,721 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:45,722 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:45,723 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:45,724 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=11.12, mean=-0.2871, std=3.078, absmax=14 +2025-11-05 21:14:45,725 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.44, max=10.31, mean=-0.2891, std=2.922, absmax=13.44 +2025-11-05 21:14:46,141 ERROR: Encountered non-finite generator loss at iter 11243; skipping update. +2025-11-05 21:14:46,142 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,144 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,145 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,146 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:46,147 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=13, mean=-0.3496, std=2.922, absmax=13 +2025-11-05 21:14:46,148 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=11.62, mean=-0.3184, std=2.688, absmax=11.62 +2025-11-05 21:14:46,566 ERROR: Encountered non-finite generator loss at iter 11244; skipping update. +2025-11-05 21:14:46,567 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,568 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,568 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,569 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:46,570 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=13.5, mean=0.03247, std=3.234, absmax=13.56 +2025-11-05 21:14:46,571 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.56, max=12.44, mean=0.001358, std=3, absmax=13.56 +2025-11-05 21:14:46,988 ERROR: Encountered non-finite generator loss at iter 11245; skipping update. +2025-11-05 21:14:46,989 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,990 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,990 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:46,991 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:46,992 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11, max=13.44, mean=-0.02405, std=2.875, absmax=13.44 +2025-11-05 21:14:46,993 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.12, max=12.62, mean=0.00206, std=2.719, absmax=12.62 +2025-11-05 21:14:47,410 ERROR: Encountered non-finite generator loss at iter 11246; skipping update. +2025-11-05 21:14:47,411 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:47,412 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:47,412 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:47,413 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:47,414 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=13.62, mean=-0.03015, std=3.219, absmax=13.69 +2025-11-05 21:14:47,415 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=11.81, mean=-0.04248, std=2.922, absmax=13.25 +2025-11-05 21:14:47,832 ERROR: Encountered non-finite generator loss at iter 11247; skipping update. +2025-11-05 21:14:47,833 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:47,834 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:47,835 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:47,835 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:47,837 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=11.44, mean=-0.1748, std=2.906, absmax=13.69 +2025-11-05 21:14:47,838 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=10, mean=-0.1621, std=2.688, absmax=12.75 +2025-11-05 21:14:48,255 ERROR: Encountered non-finite generator loss at iter 11248; skipping update. +2025-11-05 21:14:48,256 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:48,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:48,257 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:48,258 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:48,259 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=14.56, mean=-0.03088, std=3.484, absmax=14.56 +2025-11-05 21:14:48,261 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=14.31, mean=-0.04395, std=3.281, absmax=14.31 +2025-11-05 21:14:48,678 ERROR: Encountered non-finite generator loss at iter 11249; skipping update. +2025-11-05 21:14:48,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:48,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:48,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:48,681 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:48,682 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=14.19, mean=-0.09424, std=3.625, absmax=14.19 +2025-11-05 21:14:48,683 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=13.25, mean=-0.07568, std=3.328, absmax=13.25 +2025-11-05 21:14:49,100 ERROR: Encountered non-finite generator loss at iter 11250; skipping update. +2025-11-05 21:14:49,101 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,102 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,103 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,103 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:49,104 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=13.31, mean=-0.2373, std=3.016, absmax=13.31 +2025-11-05 21:14:49,105 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=11.5, mean=-0.252, std=2.797, absmax=11.81 +2025-11-05 21:14:49,522 ERROR: Encountered non-finite generator loss at iter 11251; skipping update. +2025-11-05 21:14:49,523 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,524 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,524 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,525 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:49,526 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=15.12, mean=0.06641, std=3.141, absmax=15.12 +2025-11-05 21:14:49,527 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=14.25, mean=0.1035, std=2.984, absmax=14.25 +2025-11-05 21:14:49,945 ERROR: Encountered non-finite generator loss at iter 11252; skipping update. +2025-11-05 21:14:49,946 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,947 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,948 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:49,948 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:49,949 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.88, max=14.19, mean=-0.09326, std=2.891, absmax=14.19 +2025-11-05 21:14:49,950 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=12.5, mean=-0.1006, std=2.625, absmax=12.5 +2025-11-05 21:14:50,367 ERROR: Encountered non-finite generator loss at iter 11253; skipping update. +2025-11-05 21:14:50,369 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:50,370 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:50,370 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:50,370 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:50,371 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.31, max=10.81, mean=-0.21, std=3.188, absmax=15.31 +2025-11-05 21:14:50,373 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.88, max=10.44, mean=-0.2266, std=3.078, absmax=13.88 +2025-11-05 21:14:50,792 ERROR: Encountered non-finite generator loss at iter 11254; skipping update. +2025-11-05 21:14:50,793 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:50,794 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:50,794 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:50,795 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:50,796 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=14.19, mean=0.01941, std=3.469, absmax=14.19 +2025-11-05 21:14:50,797 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=13.38, mean=0.01672, std=3.344, absmax=13.38 +2025-11-05 21:14:51,216 ERROR: Encountered non-finite generator loss at iter 11255; skipping update. +2025-11-05 21:14:51,217 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:51,218 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:51,218 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:51,218 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:51,219 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=16.25, mean=-0.1226, std=3.203, absmax=16.25 +2025-11-05 21:14:51,220 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=14.19, mean=-0.1367, std=2.922, absmax=14.19 +2025-11-05 21:14:51,638 ERROR: Encountered non-finite generator loss at iter 11256; skipping update. +2025-11-05 21:14:51,639 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:51,640 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:51,640 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:51,641 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:51,642 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.19, max=13.62, mean=-0.1299, std=3.25, absmax=15.19 +2025-11-05 21:14:51,643 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=13.75, mean=-0.08887, std=3.016, absmax=13.75 +2025-11-05 21:14:52,060 ERROR: Encountered non-finite generator loss at iter 11257; skipping update. +2025-11-05 21:14:52,061 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,062 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,062 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,062 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:52,064 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=14.38, mean=-0.1973, std=2.953, absmax=14.38 +2025-11-05 21:14:52,064 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=13.25, mean=-0.1709, std=2.766, absmax=13.25 +2025-11-05 21:14:52,483 ERROR: Encountered non-finite generator loss at iter 11258; skipping update. +2025-11-05 21:14:52,484 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,485 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,485 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,486 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:52,487 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=12.88, mean=-0.2285, std=3.422, absmax=13.69 +2025-11-05 21:14:52,488 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.25, max=12.12, mean=-0.1963, std=3.188, absmax=14.25 +2025-11-05 21:14:52,905 ERROR: Encountered non-finite generator loss at iter 11259; skipping update. +2025-11-05 21:14:52,906 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,907 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,907 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:52,908 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:52,909 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=12.75, mean=-0.1787, std=2.922, absmax=12.75 +2025-11-05 21:14:52,909 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=11.75, mean=-0.207, std=2.75, absmax=11.75 +2025-11-05 21:14:53,328 ERROR: Encountered non-finite generator loss at iter 11260; skipping update. +2025-11-05 21:14:53,329 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:53,330 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:53,330 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:53,332 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:53,333 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=17.75, mean=-0.0957, std=3.438, absmax=17.75 +2025-11-05 21:14:53,333 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.62, max=15.81, mean=-0.09912, std=3.203, absmax=15.81 +2025-11-05 21:14:53,750 ERROR: Encountered non-finite generator loss at iter 11261; skipping update. +2025-11-05 21:14:53,751 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:53,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:53,753 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:53,755 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:53,756 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.69, max=13.94, mean=-0.25, std=3.562, absmax=14.69 +2025-11-05 21:14:53,757 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.19, max=13, mean=-0.2266, std=3.359, absmax=14.19 +2025-11-05 21:14:54,175 ERROR: Encountered non-finite generator loss at iter 11262; skipping update. +2025-11-05 21:14:54,176 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:54,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:54,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:54,178 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:54,179 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=17.38, mean=0.09424, std=3.344, absmax=17.38 +2025-11-05 21:14:54,180 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=16, mean=0.1055, std=3.031, absmax=16 +2025-11-05 21:14:54,597 ERROR: Encountered non-finite generator loss at iter 11263; skipping update. +2025-11-05 21:14:54,598 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:54,600 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:54,600 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:54,600 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:54,601 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=13.88, mean=-0.1865, std=3.5, absmax=13.88 +2025-11-05 21:14:54,602 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=13.44, mean=-0.2021, std=3.344, absmax=13.44 +2025-11-05 21:14:55,021 ERROR: Encountered non-finite generator loss at iter 11264; skipping update. +2025-11-05 21:14:55,022 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,023 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,023 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,024 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:55,024 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=13.25, mean=-0.1504, std=3.172, absmax=13.25 +2025-11-05 21:14:55,025 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=12.19, mean=-0.1738, std=2.922, absmax=12.62 +2025-11-05 21:14:55,442 ERROR: Encountered non-finite generator loss at iter 11265; skipping update. +2025-11-05 21:14:55,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,445 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,445 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,445 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:55,446 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=13.88, mean=-0.1816, std=3.234, absmax=13.88 +2025-11-05 21:14:55,446 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=13.88, mean=-0.1904, std=3, absmax=13.88 +2025-11-05 21:14:55,865 ERROR: Encountered non-finite generator loss at iter 11266; skipping update. +2025-11-05 21:14:55,866 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,868 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:55,868 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:55,869 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=13.44, mean=-0.06689, std=3.344, absmax=13.88 +2025-11-05 21:14:55,870 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.88, max=12.31, mean=-0.07568, std=3.109, absmax=13.88 +2025-11-05 21:14:56,288 ERROR: Encountered non-finite generator loss at iter 11267; skipping update. +2025-11-05 21:14:56,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:56,291 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:56,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:56,292 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:56,293 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=15.5, mean=-0.2236, std=3.125, absmax=15.5 +2025-11-05 21:14:56,294 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=13.5, mean=-0.1982, std=2.938, absmax=13.5 +2025-11-05 21:14:56,711 ERROR: Encountered non-finite generator loss at iter 11268; skipping update. +2025-11-05 21:14:56,712 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:56,713 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:56,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:56,714 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:56,716 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=13.5, mean=-0.09814, std=2.938, absmax=13.5 +2025-11-05 21:14:56,716 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=13, mean=-0.1406, std=2.703, absmax=13 +2025-11-05 21:14:57,133 ERROR: Encountered non-finite generator loss at iter 11269; skipping update. +2025-11-05 21:14:57,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,136 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,136 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,137 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:57,138 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.44, max=11.81, mean=-0.06885, std=2.953, absmax=11.81 +2025-11-05 21:14:57,139 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=11.25, mean=-0.05225, std=2.812, absmax=11.25 +2025-11-05 21:14:57,557 ERROR: Encountered non-finite generator loss at iter 11270; skipping update. +2025-11-05 21:14:57,559 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,560 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,562 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:57,563 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=12.75, mean=-0.2217, std=2.547, absmax=12.88 +2025-11-05 21:14:57,564 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=10.75, mean=-0.1846, std=2.422, absmax=11.94 +2025-11-05 21:14:57,983 ERROR: Encountered non-finite generator loss at iter 11271; skipping update. +2025-11-05 21:14:57,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,986 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:57,988 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:57,989 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.62, max=17.62, mean=0.06152, std=3.453, absmax=17.62 +2025-11-05 21:14:57,990 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=15.06, mean=0.05347, std=3.188, absmax=15.06 +2025-11-05 21:14:58,407 ERROR: Encountered non-finite generator loss at iter 11272; skipping update. +2025-11-05 21:14:58,408 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:58,409 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:58,409 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:58,411 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:58,412 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=13, mean=-0.2793, std=2.953, absmax=13 +2025-11-05 21:14:58,413 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=11.19, mean=-0.2578, std=2.719, absmax=11.19 +2025-11-05 21:14:58,831 ERROR: Encountered non-finite generator loss at iter 11273; skipping update. +2025-11-05 21:14:58,832 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:58,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:58,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:58,835 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:58,836 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=13.62, mean=-0.1875, std=2.969, absmax=13.62 +2025-11-05 21:14:58,837 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=12.38, mean=-0.1572, std=2.828, absmax=13.25 +2025-11-05 21:14:59,255 ERROR: Encountered non-finite generator loss at iter 11274; skipping update. +2025-11-05 21:14:59,257 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:59,258 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:59,258 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:59,259 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:59,260 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=12.25, mean=-0.1934, std=2.469, absmax=12.69 +2025-11-05 21:14:59,261 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=12.25, mean=-0.2031, std=2.297, absmax=12.25 +2025-11-05 21:14:59,679 ERROR: Encountered non-finite generator loss at iter 11275; skipping update. +2025-11-05 21:14:59,680 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:59,681 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:14:59,682 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:14:59,682 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:14:59,683 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=13.06, mean=-0.1992, std=3.234, absmax=13.06 +2025-11-05 21:14:59,684 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=13.44, mean=-0.1807, std=3.125, absmax=13.44 +2025-11-05 21:15:00,102 ERROR: Encountered non-finite generator loss at iter 11276; skipping update. +2025-11-05 21:15:00,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,105 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,105 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:00,106 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=12.62, mean=-0.2031, std=3.344, absmax=14 +2025-11-05 21:15:00,106 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.44, max=11, mean=-0.1855, std=3.094, absmax=13.44 +2025-11-05 21:15:00,524 ERROR: Encountered non-finite generator loss at iter 11277; skipping update. +2025-11-05 21:15:00,525 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,526 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,526 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,528 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:00,529 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.75, max=14.06, mean=-0.1592, std=2.766, absmax=14.06 +2025-11-05 21:15:00,530 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=11.94, mean=-0.1357, std=2.641, absmax=11.94 +2025-11-05 21:15:00,948 ERROR: Encountered non-finite generator loss at iter 11278; skipping update. +2025-11-05 21:15:00,949 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,950 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,951 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:00,951 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:00,952 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=14.5, mean=-0.1348, std=3.016, absmax=14.5 +2025-11-05 21:15:00,953 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=12.94, mean=-0.1611, std=2.812, absmax=12.94 +2025-11-05 21:15:01,371 ERROR: Encountered non-finite generator loss at iter 11279; skipping update. +2025-11-05 21:15:01,372 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:01,374 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:01,374 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:01,375 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:01,376 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=12.19, mean=-0.1719, std=3.016, absmax=12.31 +2025-11-05 21:15:01,377 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=12.44, mean=-0.168, std=2.859, absmax=12.44 +2025-11-05 21:15:01,795 ERROR: Encountered non-finite generator loss at iter 11280; skipping update. +2025-11-05 21:15:01,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:01,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:01,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:01,798 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:01,799 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.69, max=13.25, mean=-0.1069, std=3.141, absmax=14.69 +2025-11-05 21:15:01,800 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13, max=12.25, mean=-0.1299, std=2.922, absmax=13 +2025-11-05 21:15:02,218 ERROR: Encountered non-finite generator loss at iter 11281; skipping update. +2025-11-05 21:15:02,219 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:02,220 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:02,221 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:02,221 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:02,222 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=15.06, mean=-0.02039, std=3.125, absmax=15.06 +2025-11-05 21:15:02,223 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=12.94, mean=-0.03113, std=2.891, absmax=12.94 +2025-11-05 21:15:02,642 ERROR: Encountered non-finite generator loss at iter 11282; skipping update. +2025-11-05 21:15:02,643 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:02,644 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:02,644 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:02,646 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:02,647 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.5, max=14.44, mean=-0.127, std=3.234, absmax=15.5 +2025-11-05 21:15:02,647 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.56, max=13, mean=-0.1309, std=3.062, absmax=14.56 +2025-11-05 21:15:03,066 ERROR: Encountered non-finite generator loss at iter 11283; skipping update. +2025-11-05 21:15:03,067 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,069 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:03,070 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=14.69, mean=-0.08545, std=3.078, absmax=14.69 +2025-11-05 21:15:03,071 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=13.06, mean=-0.08203, std=2.891, absmax=13.06 +2025-11-05 21:15:03,489 ERROR: Encountered non-finite generator loss at iter 11284; skipping update. +2025-11-05 21:15:03,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,491 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,492 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:03,493 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=13.62, mean=-0.1816, std=3.062, absmax=13.62 +2025-11-05 21:15:03,494 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=12.69, mean=-0.1602, std=2.906, absmax=12.69 +2025-11-05 21:15:03,913 ERROR: Encountered non-finite generator loss at iter 11285; skipping update. +2025-11-05 21:15:03,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:03,916 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:03,917 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.38, max=14.06, mean=-0.1357, std=3.094, absmax=16.38 +2025-11-05 21:15:03,919 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.5, max=13.5, mean=-0.0835, std=2.984, absmax=13.5 +2025-11-05 21:15:04,337 ERROR: Encountered non-finite generator loss at iter 11286; skipping update. +2025-11-05 21:15:04,338 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:04,340 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:04,341 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:04,342 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:04,344 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=12.38, mean=-0.02661, std=3.188, absmax=12.69 +2025-11-05 21:15:04,345 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=11.75, mean=-0.01178, std=3.078, absmax=12.12 +2025-11-05 21:15:04,763 ERROR: Encountered non-finite generator loss at iter 11287; skipping update. +2025-11-05 21:15:04,764 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:04,766 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:04,766 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:04,767 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:04,768 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=14.75, mean=-0.1689, std=2.797, absmax=14.75 +2025-11-05 21:15:04,769 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.69, max=11.69, mean=-0.1709, std=2.531, absmax=11.69 +2025-11-05 21:15:05,187 ERROR: Encountered non-finite generator loss at iter 11288; skipping update. +2025-11-05 21:15:05,188 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:05,189 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:05,189 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:05,190 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:05,192 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.12, max=13.25, mean=-0.1104, std=2.766, absmax=13.25 +2025-11-05 21:15:05,192 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.38, max=13.69, mean=-0.104, std=2.578, absmax=13.69 +2025-11-05 21:15:05,613 ERROR: Encountered non-finite generator loss at iter 11289; skipping update. +2025-11-05 21:15:05,615 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:05,616 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:05,616 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:05,616 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:05,617 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=12.75, mean=-0.1904, std=3.188, absmax=12.75 +2025-11-05 21:15:05,619 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=10.62, mean=-0.1738, std=2.906, absmax=12 +2025-11-05 21:15:06,037 ERROR: Encountered non-finite generator loss at iter 11290; skipping update. +2025-11-05 21:15:06,039 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,040 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,040 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,041 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:06,042 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16, max=18.88, mean=-0.1787, std=3.141, absmax=18.88 +2025-11-05 21:15:06,043 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.19, max=16, mean=-0.1748, std=2.922, absmax=16 +2025-11-05 21:15:06,462 ERROR: Encountered non-finite generator loss at iter 11291; skipping update. +2025-11-05 21:15:06,463 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,464 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,465 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,466 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:06,467 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=12.19, mean=-0.2158, std=2.906, absmax=12.69 +2025-11-05 21:15:06,468 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13, max=11.62, mean=-0.2275, std=2.797, absmax=13 +2025-11-05 21:15:06,886 ERROR: Encountered non-finite generator loss at iter 11292; skipping update. +2025-11-05 21:15:06,887 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,888 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,889 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:06,889 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:06,890 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=12.5, mean=0.04102, std=3.031, absmax=12.5 +2025-11-05 21:15:06,891 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=12.25, mean=0.04932, std=2.859, absmax=12.25 +2025-11-05 21:15:07,309 ERROR: Encountered non-finite generator loss at iter 11293; skipping update. +2025-11-05 21:15:07,310 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:07,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:07,312 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:07,312 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:07,313 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.44, max=16.12, mean=-0.2598, std=3.109, absmax=16.12 +2025-11-05 21:15:07,314 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.19, max=14.31, mean=-0.2451, std=2.812, absmax=14.31 +2025-11-05 21:15:07,733 ERROR: Encountered non-finite generator loss at iter 11294; skipping update. +2025-11-05 21:15:07,734 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:07,735 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:07,736 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:07,737 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:07,738 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.75, max=12.25, mean=-0.1934, std=3.078, absmax=14.75 +2025-11-05 21:15:07,739 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=10.94, mean=-0.1562, std=2.797, absmax=12.12 +2025-11-05 21:15:08,157 ERROR: Encountered non-finite generator loss at iter 11295; skipping update. +2025-11-05 21:15:08,158 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:08,159 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:08,159 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:08,160 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:08,161 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=13.12, mean=-0.01611, std=3, absmax=13.12 +2025-11-05 21:15:08,162 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=11, mean=0.009094, std=2.75, absmax=11.75 +2025-11-05 21:15:08,580 ERROR: Encountered non-finite generator loss at iter 11296; skipping update. +2025-11-05 21:15:08,581 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:08,582 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:08,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:08,583 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:08,584 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.38, max=14.94, mean=-0.103, std=2.984, absmax=14.94 +2025-11-05 21:15:08,585 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.25, max=14.44, mean=-0.0957, std=2.875, absmax=14.44 +2025-11-05 21:15:09,003 ERROR: Encountered non-finite generator loss at iter 11297; skipping update. +2025-11-05 21:15:09,004 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,005 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,006 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,006 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:09,007 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=12.69, mean=-0.2002, std=2.656, absmax=12.69 +2025-11-05 21:15:09,008 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-9.875, max=10.56, mean=-0.1934, std=2.453, absmax=10.56 +2025-11-05 21:15:09,427 ERROR: Encountered non-finite generator loss at iter 11298; skipping update. +2025-11-05 21:15:09,428 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,429 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,429 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,429 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:09,430 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=19.62, mean=-0.05884, std=2.875, absmax=19.62 +2025-11-05 21:15:09,431 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=17.12, mean=-0.08154, std=2.781, absmax=17.12 +2025-11-05 21:15:09,849 ERROR: Encountered non-finite generator loss at iter 11299; skipping update. +2025-11-05 21:15:09,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,851 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,852 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:09,853 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:09,854 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.31, max=15.75, mean=0.0481, std=3.688, absmax=15.75 +2025-11-05 21:15:09,855 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.62, max=14.38, mean=0.02612, std=3.469, absmax=14.38 +2025-11-05 21:15:10,273 ERROR: Encountered non-finite generator loss at iter 11300; skipping update. +2025-11-05 21:15:10,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:10,275 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:10,275 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:10,277 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:10,278 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=14.19, mean=0.02466, std=3.469, absmax=14.19 +2025-11-05 21:15:10,278 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=12.81, mean=0.04297, std=3.172, absmax=12.81 +2025-11-05 21:15:10,279 INFO: [40..][epoch: 0, step: 11,300, lr:(2.000e-04,)] [eta: 1 day, 19:51:01, time (data): 0.424 (0.000)] +2025-11-05 21:15:10,697 ERROR: Encountered non-finite generator loss at iter 11301; skipping update. +2025-11-05 21:15:10,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:10,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:10,700 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:10,701 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:10,702 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=13.38, mean=-0.1553, std=2.594, absmax=13.38 +2025-11-05 21:15:10,703 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=11.38, mean=-0.1079, std=2.453, absmax=11.88 +2025-11-05 21:15:11,119 ERROR: Encountered non-finite generator loss at iter 11302; skipping update. +2025-11-05 21:15:11,120 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,122 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,122 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,122 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:11,129 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.75, max=14.25, mean=-0.1719, std=3.328, absmax=16.75 +2025-11-05 21:15:11,131 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-16.88, max=11.94, mean=-0.1582, std=3.188, absmax=16.88 +2025-11-05 21:15:11,548 ERROR: Encountered non-finite generator loss at iter 11303; skipping update. +2025-11-05 21:15:11,549 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,552 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,553 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:11,555 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.75, max=15.19, mean=0.02356, std=3.297, absmax=15.19 +2025-11-05 21:15:11,556 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.88, max=13.75, mean=0.02588, std=3.078, absmax=13.88 +2025-11-05 21:15:11,974 ERROR: Encountered non-finite generator loss at iter 11304; skipping update. +2025-11-05 21:15:11,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:11,977 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:11,978 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.69, max=11.75, mean=-0.1436, std=2.734, absmax=11.75 +2025-11-05 21:15:11,979 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.31, max=10, mean=-0.1162, std=2.5, absmax=10.31 +2025-11-05 21:15:12,397 ERROR: Encountered non-finite generator loss at iter 11305; skipping update. +2025-11-05 21:15:12,398 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:12,399 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:12,400 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:12,401 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:12,402 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=14.19, mean=-0.1855, std=3.156, absmax=14.19 +2025-11-05 21:15:12,403 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.25, max=12.94, mean=-0.1738, std=2.859, absmax=12.94 +2025-11-05 21:15:12,821 ERROR: Encountered non-finite generator loss at iter 11306; skipping update. +2025-11-05 21:15:12,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:12,823 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:12,823 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:12,823 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:12,825 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.06, max=14.38, mean=-0.06543, std=2.734, absmax=14.38 +2025-11-05 21:15:12,825 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10, max=11.69, mean=-0.06787, std=2.594, absmax=11.69 +2025-11-05 21:15:13,243 ERROR: Encountered non-finite generator loss at iter 11307; skipping update. +2025-11-05 21:15:13,244 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:13,245 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:13,245 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:13,245 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:13,246 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.62, max=14.25, mean=-0.1484, std=3, absmax=15.62 +2025-11-05 21:15:13,247 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=12.25, mean=-0.1641, std=2.844, absmax=12.75 +2025-11-05 21:15:13,666 ERROR: Encountered non-finite generator loss at iter 11308; skipping update. +2025-11-05 21:15:13,667 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:13,668 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:13,669 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:13,670 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:13,672 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=13.25, mean=-0.1777, std=3.391, absmax=14.12 +2025-11-05 21:15:13,673 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=11.44, mean=-0.168, std=3.141, absmax=11.94 +2025-11-05 21:15:14,091 ERROR: Encountered non-finite generator loss at iter 11309; skipping update. +2025-11-05 21:15:14,092 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,093 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,094 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,095 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:14,096 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=13.38, mean=-0.06787, std=3.219, absmax=13.38 +2025-11-05 21:15:14,097 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.56, max=12.25, mean=-0.04517, std=3.031, absmax=12.25 +2025-11-05 21:15:14,513 ERROR: Encountered non-finite generator loss at iter 11310; skipping update. +2025-11-05 21:15:14,514 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,517 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,518 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:14,519 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.44, max=14.38, mean=-0.05591, std=2.969, absmax=14.38 +2025-11-05 21:15:14,520 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.31, max=14.44, mean=-0.03015, std=2.766, absmax=14.44 +2025-11-05 21:15:14,938 ERROR: Encountered non-finite generator loss at iter 11311; skipping update. +2025-11-05 21:15:14,939 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,941 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:14,942 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:14,944 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.88, max=14.56, mean=-0.04053, std=3.078, absmax=15.88 +2025-11-05 21:15:14,944 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.31, max=12.06, mean=-0.06494, std=2.875, absmax=14.31 +2025-11-05 21:15:15,363 ERROR: Encountered non-finite generator loss at iter 11312; skipping update. +2025-11-05 21:15:15,364 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:15,365 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:15,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:15,366 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:15,366 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=16.38, mean=-0.003784, std=3.391, absmax=16.38 +2025-11-05 21:15:15,367 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=14.19, mean=-0.008667, std=3.078, absmax=14.19 +2025-11-05 21:15:15,786 ERROR: Encountered non-finite generator loss at iter 11313; skipping update. +2025-11-05 21:15:15,787 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:15,788 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:15,788 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:15,789 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:15,790 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=11.69, mean=-0.0957, std=2.938, absmax=13.31 +2025-11-05 21:15:15,791 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=10.38, mean=-0.06982, std=2.703, absmax=11.5 +2025-11-05 21:15:16,209 ERROR: Encountered non-finite generator loss at iter 11314; skipping update. +2025-11-05 21:15:16,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:16,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:16,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:16,213 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:16,214 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.44, max=13.94, mean=-0.249, std=2.656, absmax=13.94 +2025-11-05 21:15:16,215 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=12.94, mean=-0.2559, std=2.547, absmax=12.94 +2025-11-05 21:15:16,631 ERROR: Encountered non-finite generator loss at iter 11315; skipping update. +2025-11-05 21:15:16,632 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:16,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:16,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:16,635 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:16,635 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=13.62, mean=-0.2256, std=3.047, absmax=13.62 +2025-11-05 21:15:16,637 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=11.94, mean=-0.2363, std=2.812, absmax=12.25 +2025-11-05 21:15:17,055 ERROR: Encountered non-finite generator loss at iter 11316; skipping update. +2025-11-05 21:15:17,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,058 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:17,060 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.25, max=13, mean=-0.2109, std=2.922, absmax=13 +2025-11-05 21:15:17,061 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=11.31, mean=-0.2256, std=2.75, absmax=11.44 +2025-11-05 21:15:17,479 ERROR: Encountered non-finite generator loss at iter 11317; skipping update. +2025-11-05 21:15:17,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,482 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:17,483 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.88, max=15.31, mean=-0.1836, std=3.266, absmax=15.31 +2025-11-05 21:15:17,484 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=14.31, mean=-0.1426, std=3.047, absmax=14.31 +2025-11-05 21:15:17,901 ERROR: Encountered non-finite generator loss at iter 11318; skipping update. +2025-11-05 21:15:17,902 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:17,904 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:17,905 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=14.31, mean=-0.207, std=3.094, absmax=14.31 +2025-11-05 21:15:17,906 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.44, max=12.75, mean=-0.1885, std=2.844, absmax=14.44 +2025-11-05 21:15:18,323 ERROR: Encountered non-finite generator loss at iter 11319; skipping update. +2025-11-05 21:15:18,324 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:18,325 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:18,326 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:18,326 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:18,327 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=12.5, mean=-0.01807, std=2.875, absmax=13.44 +2025-11-05 21:15:18,328 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.12, max=11.06, mean=-0.02222, std=2.609, absmax=11.06 +2025-11-05 21:15:18,746 ERROR: Encountered non-finite generator loss at iter 11320; skipping update. +2025-11-05 21:15:18,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:18,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:18,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:18,749 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:18,751 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=12.69, mean=-0.1621, std=2.953, absmax=13.06 +2025-11-05 21:15:18,751 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=10.31, mean=-0.1572, std=2.719, absmax=11.81 +2025-11-05 21:15:19,170 ERROR: Encountered non-finite generator loss at iter 11321; skipping update. +2025-11-05 21:15:19,171 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:19,172 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:19,172 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:19,174 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:19,175 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.69, max=11.5, mean=-0.2578, std=2.578, absmax=11.69 +2025-11-05 21:15:19,176 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.69, max=9.562, mean=-0.2295, std=2.391, absmax=10.69 +2025-11-05 21:15:19,594 ERROR: Encountered non-finite generator loss at iter 11322; skipping update. +2025-11-05 21:15:19,595 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:19,596 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:19,597 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:19,597 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:19,598 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12, max=13.56, mean=-0.021, std=2.75, absmax=13.56 +2025-11-05 21:15:19,599 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.44, max=11.56, mean=-0.02319, std=2.562, absmax=11.56 +2025-11-05 21:15:20,017 ERROR: Encountered non-finite generator loss at iter 11323; skipping update. +2025-11-05 21:15:20,018 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,019 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,019 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,020 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:20,021 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.75, max=15.31, mean=-0.1357, std=2.938, absmax=15.75 +2025-11-05 21:15:20,022 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=13.69, mean=-0.1299, std=2.766, absmax=13.69 +2025-11-05 21:15:20,440 ERROR: Encountered non-finite generator loss at iter 11324; skipping update. +2025-11-05 21:15:20,441 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,442 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,442 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,443 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:20,444 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=11.88, mean=-0.02332, std=2.984, absmax=11.94 +2025-11-05 21:15:20,445 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=11.06, mean=-0.06177, std=2.766, absmax=12.38 +2025-11-05 21:15:20,864 ERROR: Encountered non-finite generator loss at iter 11325; skipping update. +2025-11-05 21:15:20,865 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,866 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:20,866 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:20,868 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=13.75, mean=-0.1318, std=2.969, absmax=13.75 +2025-11-05 21:15:20,868 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=12.06, mean=-0.1182, std=2.734, absmax=12.06 +2025-11-05 21:15:21,287 ERROR: Encountered non-finite generator loss at iter 11326; skipping update. +2025-11-05 21:15:21,288 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:21,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:21,289 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:21,290 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:21,291 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.62, max=13.62, mean=-0.1196, std=2.875, absmax=13.62 +2025-11-05 21:15:21,292 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.88, max=12.31, mean=-0.1035, std=2.656, absmax=12.31 +2025-11-05 21:15:21,709 ERROR: Encountered non-finite generator loss at iter 11327; skipping update. +2025-11-05 21:15:21,711 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:21,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:21,713 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:21,714 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:21,715 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=14.5, mean=-0.249, std=3.109, absmax=14.5 +2025-11-05 21:15:21,716 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=11.25, mean=-0.2461, std=2.875, absmax=12.5 +2025-11-05 21:15:22,133 ERROR: Encountered non-finite generator loss at iter 11328; skipping update. +2025-11-05 21:15:22,134 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,135 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,136 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:22,137 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=17.88, mean=-0.2129, std=3.234, absmax=17.88 +2025-11-05 21:15:22,137 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=16.25, mean=-0.1924, std=3.031, absmax=16.25 +2025-11-05 21:15:22,556 ERROR: Encountered non-finite generator loss at iter 11329; skipping update. +2025-11-05 21:15:22,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,559 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:22,560 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=13.19, mean=-0.09521, std=2.969, absmax=13.94 +2025-11-05 21:15:22,562 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=11.31, mean=-0.1211, std=2.75, absmax=11.81 +2025-11-05 21:15:22,978 ERROR: Encountered non-finite generator loss at iter 11330; skipping update. +2025-11-05 21:15:22,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,981 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:22,981 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:22,982 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=13.06, mean=-0.07715, std=3.297, absmax=14 +2025-11-05 21:15:22,983 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.12, max=12.19, mean=-0.06641, std=3.078, absmax=14.12 +2025-11-05 21:15:23,401 ERROR: Encountered non-finite generator loss at iter 11331; skipping update. +2025-11-05 21:15:23,403 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:23,404 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:23,404 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:23,405 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:23,406 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=12.38, mean=-0.1797, std=2.672, absmax=13.06 +2025-11-05 21:15:23,407 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=10.81, mean=-0.1611, std=2.578, absmax=11.75 +2025-11-05 21:15:23,824 ERROR: Encountered non-finite generator loss at iter 11332; skipping update. +2025-11-05 21:15:23,825 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:23,827 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:23,828 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:23,829 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:23,830 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=13, mean=-0.1436, std=2.969, absmax=13.19 +2025-11-05 21:15:23,831 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=12.94, mean=-0.1133, std=2.797, absmax=12.94 +2025-11-05 21:15:24,248 ERROR: Encountered non-finite generator loss at iter 11333; skipping update. +2025-11-05 21:15:24,249 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:24,252 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:24,253 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:24,254 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:24,255 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=16.12, mean=-0.06641, std=3.312, absmax=16.12 +2025-11-05 21:15:24,256 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=14.56, mean=-0.03857, std=3.141, absmax=14.56 +2025-11-05 21:15:24,675 ERROR: Encountered non-finite generator loss at iter 11334; skipping update. +2025-11-05 21:15:24,676 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:24,677 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:24,677 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:24,678 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:24,679 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=14.5, mean=-0.1021, std=2.844, absmax=14.5 +2025-11-05 21:15:24,680 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=13.88, mean=-0.1108, std=2.656, absmax=13.88 +2025-11-05 21:15:25,098 ERROR: Encountered non-finite generator loss at iter 11335; skipping update. +2025-11-05 21:15:25,099 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,100 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,100 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,101 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:25,102 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=16, mean=-0.1982, std=2.984, absmax=16 +2025-11-05 21:15:25,103 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=13.94, mean=-0.1797, std=2.75, absmax=13.94 +2025-11-05 21:15:25,520 ERROR: Encountered non-finite generator loss at iter 11336; skipping update. +2025-11-05 21:15:25,521 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,523 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,523 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,524 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:25,525 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=12.94, mean=-0.334, std=2.875, absmax=12.94 +2025-11-05 21:15:25,526 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=10.06, mean=-0.291, std=2.672, absmax=12.19 +2025-11-05 21:15:25,943 ERROR: Encountered non-finite generator loss at iter 11337; skipping update. +2025-11-05 21:15:25,944 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,945 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,946 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:25,947 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:25,948 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=13.88, mean=-0.1162, std=3.156, absmax=13.88 +2025-11-05 21:15:25,949 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=13.25, mean=-0.1128, std=2.938, absmax=13.25 +2025-11-05 21:15:26,366 ERROR: Encountered non-finite generator loss at iter 11338; skipping update. +2025-11-05 21:15:26,367 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:26,368 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:26,368 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:26,369 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:26,371 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=14.88, mean=-0.1377, std=2.969, absmax=14.88 +2025-11-05 21:15:26,372 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.12, max=12.5, mean=-0.1187, std=2.766, absmax=13.12 +2025-11-05 21:15:26,789 ERROR: Encountered non-finite generator loss at iter 11339; skipping update. +2025-11-05 21:15:26,790 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:26,792 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:26,792 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:26,792 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:26,794 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=13.44, mean=-0.07715, std=2.422, absmax=13.44 +2025-11-05 21:15:26,794 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.12, max=10.19, mean=-0.03638, std=2.312, absmax=10.19 +2025-11-05 21:15:27,213 ERROR: Encountered non-finite generator loss at iter 11340; skipping update. +2025-11-05 21:15:27,214 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:27,215 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:27,215 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:27,216 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:27,216 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=13.62, mean=-0.06396, std=3.141, absmax=13.62 +2025-11-05 21:15:27,217 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=12.75, mean=-0.06152, std=2.891, absmax=12.75 +2025-11-05 21:15:27,634 ERROR: Encountered non-finite generator loss at iter 11341; skipping update. +2025-11-05 21:15:27,635 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:27,636 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:27,637 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:27,637 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:27,638 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=14.69, mean=-0.2393, std=2.781, absmax=14.69 +2025-11-05 21:15:27,639 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=11.88, mean=-0.2119, std=2.578, absmax=11.88 +2025-11-05 21:15:28,057 ERROR: Encountered non-finite generator loss at iter 11342; skipping update. +2025-11-05 21:15:28,058 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,060 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,060 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,060 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:28,061 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.31, max=13.56, mean=-0.03101, std=2.922, absmax=13.56 +2025-11-05 21:15:28,063 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=12.25, mean=-0.03491, std=2.766, absmax=12.25 +2025-11-05 21:15:28,479 ERROR: Encountered non-finite generator loss at iter 11343; skipping update. +2025-11-05 21:15:28,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,482 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,482 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,483 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:28,484 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.88, max=12.38, mean=-0.2285, std=3.594, absmax=16.88 +2025-11-05 21:15:28,485 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.75, max=11.31, mean=-0.2412, std=3.312, absmax=14.75 +2025-11-05 21:15:28,903 ERROR: Encountered non-finite generator loss at iter 11344; skipping update. +2025-11-05 21:15:28,904 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,906 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,906 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:28,906 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:28,908 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.81, max=13, mean=-0.2041, std=2.594, absmax=13 +2025-11-05 21:15:28,908 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=10.62, mean=-0.2061, std=2.453, absmax=11.88 +2025-11-05 21:15:29,326 ERROR: Encountered non-finite generator loss at iter 11345; skipping update. +2025-11-05 21:15:29,327 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:29,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:29,328 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:29,329 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:29,330 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=11.88, mean=-0.0354, std=2.594, absmax=13.69 +2025-11-05 21:15:29,331 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10, max=10.5, mean=-0.01746, std=2.391, absmax=10.5 +2025-11-05 21:15:29,749 ERROR: Encountered non-finite generator loss at iter 11346; skipping update. +2025-11-05 21:15:29,750 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:29,751 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:29,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:29,753 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:29,754 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=13.25, mean=-0.2676, std=2.812, absmax=13.25 +2025-11-05 21:15:29,755 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=12.62, mean=-0.2617, std=2.609, absmax=12.62 +2025-11-05 21:15:30,174 ERROR: Encountered non-finite generator loss at iter 11347; skipping update. +2025-11-05 21:15:30,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:30,177 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:30,178 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:30,179 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:30,180 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.31, max=14.31, mean=-0.008667, std=3.234, absmax=14.31 +2025-11-05 21:15:30,180 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.75, max=14, mean=-0.01129, std=3.031, absmax=14 +2025-11-05 21:15:30,599 ERROR: Encountered non-finite generator loss at iter 11348; skipping update. +2025-11-05 21:15:30,600 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:30,601 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:30,601 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:30,602 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:30,602 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=13, mean=-0.2109, std=2.984, absmax=13.5 +2025-11-05 21:15:30,603 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=11.75, mean=-0.2227, std=2.797, absmax=11.75 +2025-11-05 21:15:31,020 ERROR: Encountered non-finite generator loss at iter 11349; skipping update. +2025-11-05 21:15:31,021 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,023 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,023 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:31,024 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=13.31, mean=-0.1729, std=3.281, absmax=14.12 +2025-11-05 21:15:31,025 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=12.81, mean=-0.1455, std=3.094, absmax=12.81 +2025-11-05 21:15:31,443 ERROR: Encountered non-finite generator loss at iter 11350; skipping update. +2025-11-05 21:15:31,444 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,446 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,446 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,447 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:31,448 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.81, max=12.38, mean=-0.1758, std=2.812, absmax=12.38 +2025-11-05 21:15:31,449 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=12.38, mean=-0.1201, std=2.672, absmax=12.38 +2025-11-05 21:15:31,867 ERROR: Encountered non-finite generator loss at iter 11351; skipping update. +2025-11-05 21:15:31,868 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,870 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,870 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:31,871 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:31,872 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.75, max=13.56, mean=-0.166, std=2.844, absmax=13.56 +2025-11-05 21:15:31,873 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=12.56, mean=-0.1475, std=2.672, absmax=12.56 +2025-11-05 21:15:32,299 ERROR: Encountered non-finite generator loss at iter 11352; skipping update. +2025-11-05 21:15:32,300 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:32,301 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:32,302 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:32,303 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:32,304 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.81, max=13.88, mean=-0.1406, std=3.125, absmax=14.81 +2025-11-05 21:15:32,305 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=12.06, mean=-0.1367, std=2.859, absmax=12.44 +2025-11-05 21:15:32,723 ERROR: Encountered non-finite generator loss at iter 11353; skipping update. +2025-11-05 21:15:32,724 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:32,726 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:32,726 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:32,727 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:32,728 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.81, max=14.19, mean=-0.1328, std=2.781, absmax=14.19 +2025-11-05 21:15:32,729 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.25, max=11.12, mean=-0.1211, std=2.578, absmax=11.12 +2025-11-05 21:15:33,145 ERROR: Encountered non-finite generator loss at iter 11354; skipping update. +2025-11-05 21:15:33,146 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,148 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,148 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,148 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:33,149 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=13.75, mean=-0.0152, std=2.906, absmax=14.56 +2025-11-05 21:15:33,150 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=12.44, mean=-0.03882, std=2.688, absmax=12.44 +2025-11-05 21:15:33,568 ERROR: Encountered non-finite generator loss at iter 11355; skipping update. +2025-11-05 21:15:33,569 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,570 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,570 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,571 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:33,572 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=14.75, mean=0.02075, std=3.203, absmax=14.75 +2025-11-05 21:15:33,573 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.5, max=14.31, mean=9.489e-05, std=3, absmax=14.31 +2025-11-05 21:15:33,991 ERROR: Encountered non-finite generator loss at iter 11356; skipping update. +2025-11-05 21:15:33,992 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,994 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,994 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:33,994 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:33,995 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.56, max=14.38, mean=-0.1196, std=3.078, absmax=15.56 +2025-11-05 21:15:33,996 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14, max=12.75, mean=-0.1348, std=2.859, absmax=14 +2025-11-05 21:15:34,414 ERROR: Encountered non-finite generator loss at iter 11357; skipping update. +2025-11-05 21:15:34,416 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:34,417 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:34,417 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:34,418 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:34,420 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15, max=12.44, mean=-0.248, std=3.156, absmax=15 +2025-11-05 21:15:34,420 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.5, max=12, mean=-0.1982, std=2.969, absmax=13.5 +2025-11-05 21:15:34,837 ERROR: Encountered non-finite generator loss at iter 11358; skipping update. +2025-11-05 21:15:34,838 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:34,840 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:34,840 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:34,840 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:34,841 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=11.75, mean=-0.3145, std=2.688, absmax=14.31 +2025-11-05 21:15:34,841 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=9.562, mean=-0.2949, std=2.453, absmax=11.44 +2025-11-05 21:15:35,259 ERROR: Encountered non-finite generator loss at iter 11359; skipping update. +2025-11-05 21:15:35,260 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:35,262 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:35,262 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:35,262 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:35,263 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=14.5, mean=0.104, std=3.422, absmax=14.5 +2025-11-05 21:15:35,264 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=12.81, mean=0.0957, std=3.141, absmax=12.81 +2025-11-05 21:15:35,683 ERROR: Encountered non-finite generator loss at iter 11360; skipping update. +2025-11-05 21:15:35,684 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:35,685 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:35,685 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:35,686 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:35,687 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.38, max=15.19, mean=0.123, std=3.828, absmax=15.19 +2025-11-05 21:15:35,688 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=15.06, mean=0.1465, std=3.625, absmax=15.06 +2025-11-05 21:15:36,107 ERROR: Encountered non-finite generator loss at iter 11361; skipping update. +2025-11-05 21:15:36,108 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,109 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,109 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,110 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:36,110 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.75, max=14.06, mean=-0.1562, std=2.609, absmax=14.06 +2025-11-05 21:15:36,111 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-9.75, max=14.31, mean=-0.1641, std=2.422, absmax=14.31 +2025-11-05 21:15:36,530 ERROR: Encountered non-finite generator loss at iter 11362; skipping update. +2025-11-05 21:15:36,531 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,532 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,533 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,534 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:36,535 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=11.81, mean=-0.2295, std=2.828, absmax=12.81 +2025-11-05 21:15:36,536 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=10, mean=-0.1914, std=2.688, absmax=11.44 +2025-11-05 21:15:36,955 ERROR: Encountered non-finite generator loss at iter 11363; skipping update. +2025-11-05 21:15:36,956 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,958 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,958 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:36,959 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:36,960 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=13.81, mean=-0.3086, std=3.031, absmax=13.81 +2025-11-05 21:15:36,961 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.69, max=11.94, mean=-0.2715, std=2.828, absmax=13.69 +2025-11-05 21:15:37,379 ERROR: Encountered non-finite generator loss at iter 11364; skipping update. +2025-11-05 21:15:37,380 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:37,381 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:37,381 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:37,382 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:37,383 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=12.06, mean=-0.09668, std=3.391, absmax=13.94 +2025-11-05 21:15:37,384 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.12, max=11.56, mean=-0.0708, std=3.219, absmax=13.12 +2025-11-05 21:15:37,803 ERROR: Encountered non-finite generator loss at iter 11365; skipping update. +2025-11-05 21:15:37,804 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:37,806 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:37,807 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:37,807 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:37,808 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-17.75, max=14.94, mean=-0.07861, std=3.188, absmax=17.75 +2025-11-05 21:15:37,809 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.12, max=14.12, mean=-0.06177, std=2.984, absmax=14.12 +2025-11-05 21:15:38,227 ERROR: Encountered non-finite generator loss at iter 11366; skipping update. +2025-11-05 21:15:38,228 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:38,230 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:38,230 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:38,231 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:38,232 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=15.12, mean=-0.1523, std=2.906, absmax=15.12 +2025-11-05 21:15:38,233 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.25, max=10.88, mean=-0.1582, std=2.641, absmax=11.25 +2025-11-05 21:15:38,650 ERROR: Encountered non-finite generator loss at iter 11367; skipping update. +2025-11-05 21:15:38,651 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:38,653 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:38,653 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:38,653 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:38,654 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=11.12, mean=-0.1982, std=2.953, absmax=13.69 +2025-11-05 21:15:38,655 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=10.44, mean=-0.1758, std=2.781, absmax=11.44 +2025-11-05 21:15:39,073 ERROR: Encountered non-finite generator loss at iter 11368; skipping update. +2025-11-05 21:15:39,074 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,075 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,076 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,076 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:39,077 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.81, max=15.94, mean=-0.09131, std=3.109, absmax=15.94 +2025-11-05 21:15:39,078 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=12.75, mean=-0.06982, std=2.844, absmax=12.75 +2025-11-05 21:15:39,496 ERROR: Encountered non-finite generator loss at iter 11369; skipping update. +2025-11-05 21:15:39,497 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,499 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,499 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,500 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:39,502 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=11.31, mean=-0.2773, std=3.047, absmax=13.38 +2025-11-05 21:15:39,503 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=10.31, mean=-0.2695, std=2.781, absmax=12.38 +2025-11-05 21:15:39,921 ERROR: Encountered non-finite generator loss at iter 11370; skipping update. +2025-11-05 21:15:39,922 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,923 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,923 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:39,924 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:39,925 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.62, max=12.56, mean=-0.2314, std=2.891, absmax=12.56 +2025-11-05 21:15:39,926 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11, max=11.31, mean=-0.2051, std=2.625, absmax=11.31 +2025-11-05 21:15:40,343 ERROR: Encountered non-finite generator loss at iter 11371; skipping update. +2025-11-05 21:15:40,344 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:40,345 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:40,346 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:40,347 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:40,348 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.12, max=13.62, mean=-0.2695, std=2.906, absmax=13.62 +2025-11-05 21:15:40,349 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=11.62, mean=-0.2441, std=2.656, absmax=11.62 +2025-11-05 21:15:40,767 ERROR: Encountered non-finite generator loss at iter 11372; skipping update. +2025-11-05 21:15:40,768 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:40,770 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:40,770 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:40,771 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:40,773 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=13.94, mean=-0.1128, std=3.016, absmax=13.94 +2025-11-05 21:15:40,774 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=12.12, mean=-0.1387, std=2.844, absmax=12.62 +2025-11-05 21:15:41,192 ERROR: Encountered non-finite generator loss at iter 11373; skipping update. +2025-11-05 21:15:41,193 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:41,194 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:41,196 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:41,197 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:41,199 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=13.56, mean=-0.1904, std=2.875, absmax=13.56 +2025-11-05 21:15:41,200 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.25, max=11.25, mean=-0.167, std=2.75, absmax=11.25 +2025-11-05 21:15:41,617 ERROR: Encountered non-finite generator loss at iter 11374; skipping update. +2025-11-05 21:15:41,618 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:41,619 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:41,620 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:41,621 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:41,622 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=12.06, mean=-0.1396, std=3.094, absmax=13 +2025-11-05 21:15:41,623 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=12.06, mean=-0.09375, std=2.984, absmax=12.75 +2025-11-05 21:15:42,040 ERROR: Encountered non-finite generator loss at iter 11375; skipping update. +2025-11-05 21:15:42,042 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,043 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,043 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,044 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:42,046 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=12.62, mean=-0.1758, std=3.281, absmax=13.38 +2025-11-05 21:15:42,047 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=10.19, mean=-0.1758, std=3.016, absmax=11.38 +2025-11-05 21:15:42,465 ERROR: Encountered non-finite generator loss at iter 11376; skipping update. +2025-11-05 21:15:42,466 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,468 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,468 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,469 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:42,472 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=11.88, mean=-0.1338, std=3.172, absmax=13.31 +2025-11-05 21:15:42,472 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.19, max=10.44, mean=-0.127, std=2.859, absmax=13.19 +2025-11-05 21:15:42,891 ERROR: Encountered non-finite generator loss at iter 11377; skipping update. +2025-11-05 21:15:42,892 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,893 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,894 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:42,895 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:42,896 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=14.5, mean=-0.3086, std=3.047, absmax=14.5 +2025-11-05 21:15:42,897 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13, max=13.12, mean=-0.3203, std=2.906, absmax=13.12 +2025-11-05 21:15:43,314 ERROR: Encountered non-finite generator loss at iter 11378; skipping update. +2025-11-05 21:15:43,315 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:43,316 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:43,316 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:43,318 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:43,319 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.25, max=14.81, mean=-0.1338, std=3.516, absmax=16.25 +2025-11-05 21:15:43,320 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.56, max=13.69, mean=-0.1221, std=3.266, absmax=14.56 +2025-11-05 21:15:43,737 ERROR: Encountered non-finite generator loss at iter 11379; skipping update. +2025-11-05 21:15:43,738 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:43,739 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:43,740 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:43,741 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:43,742 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=14, mean=-0.249, std=3.266, absmax=14 +2025-11-05 21:15:43,743 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=11.25, mean=-0.2041, std=3.078, absmax=12.69 +2025-11-05 21:15:44,160 ERROR: Encountered non-finite generator loss at iter 11380; skipping update. +2025-11-05 21:15:44,161 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:44,162 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:44,163 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:44,165 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:44,166 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=13.12, mean=-0.1826, std=2.969, absmax=13.69 +2025-11-05 21:15:44,167 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.56, max=11.81, mean=-0.1465, std=2.812, absmax=11.81 +2025-11-05 21:15:44,585 ERROR: Encountered non-finite generator loss at iter 11381; skipping update. +2025-11-05 21:15:44,586 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:44,587 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:44,588 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:44,588 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:44,589 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=14.62, mean=-0.1387, std=3.75, absmax=14.62 +2025-11-05 21:15:44,590 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13, max=14, mean=-0.105, std=3.5, absmax=14 +2025-11-05 21:15:45,007 ERROR: Encountered non-finite generator loss at iter 11382; skipping update. +2025-11-05 21:15:45,008 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,009 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,009 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,009 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:45,010 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=14.94, mean=-0.293, std=2.938, absmax=14.94 +2025-11-05 21:15:45,011 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=13.12, mean=-0.2891, std=2.672, absmax=13.12 +2025-11-05 21:15:45,429 ERROR: Encountered non-finite generator loss at iter 11383; skipping update. +2025-11-05 21:15:45,430 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,431 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,432 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,433 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:45,435 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=14, mean=-0.1973, std=2.922, absmax=14.19 +2025-11-05 21:15:45,436 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=13.31, mean=-0.1826, std=2.766, absmax=13.31 +2025-11-05 21:15:45,853 ERROR: Encountered non-finite generator loss at iter 11384; skipping update. +2025-11-05 21:15:45,854 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,855 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,856 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:45,856 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:45,858 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=11.81, mean=-0.08301, std=2.938, absmax=13.38 +2025-11-05 21:15:45,859 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=11.81, mean=-0.08984, std=2.766, absmax=12.75 +2025-11-05 21:15:46,277 ERROR: Encountered non-finite generator loss at iter 11385; skipping update. +2025-11-05 21:15:46,278 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:46,280 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:46,280 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:46,280 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:46,282 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=12.94, mean=-0.1162, std=3.578, absmax=13.94 +2025-11-05 21:15:46,283 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.69, max=12.12, mean=-0.124, std=3.344, absmax=13.69 +2025-11-05 21:15:46,701 ERROR: Encountered non-finite generator loss at iter 11386; skipping update. +2025-11-05 21:15:46,703 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:46,703 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:46,704 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:46,704 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:46,705 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=12.69, mean=-0.1885, std=2.969, absmax=14.31 +2025-11-05 21:15:46,706 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=11.88, mean=-0.1797, std=2.672, absmax=12.06 +2025-11-05 21:15:47,123 ERROR: Encountered non-finite generator loss at iter 11387; skipping update. +2025-11-05 21:15:47,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,126 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,126 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,127 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:47,128 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=15.12, mean=-0.06006, std=2.969, absmax=15.12 +2025-11-05 21:15:47,129 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=12.38, mean=-0.05664, std=2.797, absmax=12.38 +2025-11-05 21:15:47,547 ERROR: Encountered non-finite generator loss at iter 11388; skipping update. +2025-11-05 21:15:47,548 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,549 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,549 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,551 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:47,552 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=19.88, mean=-0.1816, std=3, absmax=19.88 +2025-11-05 21:15:47,553 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=15.06, mean=-0.1533, std=2.781, absmax=15.06 +2025-11-05 21:15:47,974 ERROR: Encountered non-finite generator loss at iter 11389; skipping update. +2025-11-05 21:15:47,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,977 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:47,977 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:47,978 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.62, max=11.88, mean=-0.1118, std=2.609, absmax=15.62 +2025-11-05 21:15:47,979 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.56, max=9.812, mean=-0.106, std=2.453, absmax=13.56 +2025-11-05 21:15:48,398 ERROR: Encountered non-finite generator loss at iter 11390; skipping update. +2025-11-05 21:15:48,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:48,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:48,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:48,401 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:48,403 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=13.19, mean=-0.1035, std=3, absmax=13.5 +2025-11-05 21:15:48,403 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=10.75, mean=-0.1001, std=2.766, absmax=11.81 +2025-11-05 21:15:48,821 ERROR: Encountered non-finite generator loss at iter 11391; skipping update. +2025-11-05 21:15:48,822 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:48,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:48,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:48,824 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:48,826 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=16.75, mean=-0.02295, std=3.609, absmax=16.75 +2025-11-05 21:15:48,827 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=14.31, mean=-0.05713, std=3.391, absmax=14.31 +2025-11-05 21:15:49,244 ERROR: Encountered non-finite generator loss at iter 11392; skipping update. +2025-11-05 21:15:49,245 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:49,246 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:49,246 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:49,248 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:49,249 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=12.31, mean=-0.3145, std=2.797, absmax=12.81 +2025-11-05 21:15:49,250 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=10.19, mean=-0.2539, std=2.609, absmax=12.06 +2025-11-05 21:15:49,669 ERROR: Encountered non-finite generator loss at iter 11393; skipping update. +2025-11-05 21:15:49,670 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:49,671 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:49,672 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:49,673 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:49,674 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=14, mean=-0.09717, std=3.234, absmax=14 +2025-11-05 21:15:49,675 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=14.44, mean=-0.1025, std=2.984, absmax=14.44 +2025-11-05 21:15:50,093 ERROR: Encountered non-finite generator loss at iter 11394; skipping update. +2025-11-05 21:15:50,094 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,095 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,095 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,097 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:50,098 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=12.88, mean=-0.1855, std=3.5, absmax=13.06 +2025-11-05 21:15:50,099 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=12.38, mean=-0.166, std=3.234, absmax=12.88 +2025-11-05 21:15:50,516 ERROR: Encountered non-finite generator loss at iter 11395; skipping update. +2025-11-05 21:15:50,518 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,519 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,519 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,519 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:50,521 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=11, mean=-0.2119, std=2.422, absmax=12.5 +2025-11-05 21:15:50,522 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=10.56, mean=-0.1924, std=2.297, absmax=12.56 +2025-11-05 21:15:50,940 ERROR: Encountered non-finite generator loss at iter 11396; skipping update. +2025-11-05 21:15:50,941 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,942 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,942 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:50,943 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:50,943 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=14.81, mean=-0.02124, std=3.062, absmax=14.81 +2025-11-05 21:15:50,944 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=11.62, mean=-0.009033, std=2.844, absmax=11.62 +2025-11-05 21:15:51,361 ERROR: Encountered non-finite generator loss at iter 11397; skipping update. +2025-11-05 21:15:51,362 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:51,363 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:51,363 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:51,364 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:51,364 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.5, max=14.94, mean=-0.248, std=3.156, absmax=15.5 +2025-11-05 21:15:51,365 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=14.06, mean=-0.2441, std=2.969, absmax=14.06 +2025-11-05 21:15:51,784 ERROR: Encountered non-finite generator loss at iter 11398; skipping update. +2025-11-05 21:15:51,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:51,786 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:51,787 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:51,788 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:51,789 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=12.94, mean=-0.168, std=3.094, absmax=13.75 +2025-11-05 21:15:51,790 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=10.62, mean=-0.1611, std=2.875, absmax=12.44 +2025-11-05 21:15:52,208 ERROR: Encountered non-finite generator loss at iter 11399; skipping update. +2025-11-05 21:15:52,209 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:52,210 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:52,211 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:52,211 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:52,212 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=13.69, mean=-0.002792, std=2.891, absmax=13.69 +2025-11-05 21:15:52,214 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=12.75, mean=-0.005646, std=2.641, absmax=12.75 +2025-11-05 21:15:52,632 ERROR: Encountered non-finite generator loss at iter 11400; skipping update. +2025-11-05 21:15:52,633 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:52,634 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:52,634 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:52,635 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:52,636 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.38, max=11.69, mean=-0.02112, std=2.797, absmax=11.69 +2025-11-05 21:15:52,637 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=10.62, mean=-0.03149, std=2.484, absmax=11.06 +2025-11-05 21:15:52,638 INFO: [40..][epoch: 0, step: 11,400, lr:(2.000e-04,)] [eta: 1 day, 19:32:41, time (data): 0.424 (0.000)] +2025-11-05 21:15:53,055 ERROR: Encountered non-finite generator loss at iter 11401; skipping update. +2025-11-05 21:15:53,056 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,057 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,057 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,057 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:53,059 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=14.94, mean=-0.1982, std=2.766, absmax=14.94 +2025-11-05 21:15:53,060 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11, max=13.62, mean=-0.1973, std=2.547, absmax=13.62 +2025-11-05 21:15:53,477 ERROR: Encountered non-finite generator loss at iter 11402; skipping update. +2025-11-05 21:15:53,478 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,479 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,479 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,480 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:53,480 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.5, max=14.25, mean=-0.02136, std=3.203, absmax=14.5 +2025-11-05 21:15:53,481 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13, max=13, mean=-0.01965, std=3.016, absmax=13 +2025-11-05 21:15:53,899 ERROR: Encountered non-finite generator loss at iter 11403; skipping update. +2025-11-05 21:15:53,900 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,901 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,901 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:53,902 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:53,903 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=17.62, mean=-0.125, std=2.719, absmax=17.62 +2025-11-05 21:15:53,904 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=14.19, mean=-0.1079, std=2.484, absmax=14.19 +2025-11-05 21:15:54,322 ERROR: Encountered non-finite generator loss at iter 11404; skipping update. +2025-11-05 21:15:54,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:54,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:54,325 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:54,325 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:54,326 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.62, max=14.25, mean=-0.02417, std=2.922, absmax=14.25 +2025-11-05 21:15:54,327 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.56, max=12.62, mean=-0.01105, std=2.766, absmax=13.56 +2025-11-05 21:15:54,744 ERROR: Encountered non-finite generator loss at iter 11405; skipping update. +2025-11-05 21:15:54,745 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:54,747 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:54,747 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:54,747 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:54,749 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=14, mean=-0.07324, std=3.297, absmax=14 +2025-11-05 21:15:54,750 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.94, max=12.31, mean=-0.03955, std=3.125, absmax=12.31 +2025-11-05 21:15:55,167 ERROR: Encountered non-finite generator loss at iter 11406; skipping update. +2025-11-05 21:15:55,168 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:55,169 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:55,169 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:55,171 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:55,172 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.38, max=13.38, mean=-0.1475, std=2.922, absmax=15.38 +2025-11-05 21:15:55,173 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.12, max=12.25, mean=-0.1167, std=2.672, absmax=13.12 +2025-11-05 21:15:55,591 ERROR: Encountered non-finite generator loss at iter 11407; skipping update. +2025-11-05 21:15:55,592 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:55,593 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:55,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:55,594 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:55,595 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=12.62, mean=-0.1465, std=3.25, absmax=13.44 +2025-11-05 21:15:55,595 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.12, max=13.06, mean=-0.1201, std=3.031, absmax=13.12 +2025-11-05 21:15:56,013 ERROR: Encountered non-finite generator loss at iter 11408; skipping update. +2025-11-05 21:15:56,014 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,016 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,016 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,017 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:56,018 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=14.75, mean=-0.1768, std=2.875, absmax=14.75 +2025-11-05 21:15:56,019 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=12, mean=-0.1357, std=2.703, absmax=12 +2025-11-05 21:15:56,438 ERROR: Encountered non-finite generator loss at iter 11409; skipping update. +2025-11-05 21:15:56,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,440 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,440 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,441 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:56,442 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=11.69, mean=-0.1387, std=2.781, absmax=13.19 +2025-11-05 21:15:56,443 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=10, mean=-0.1465, std=2.594, absmax=12.69 +2025-11-05 21:15:56,861 ERROR: Encountered non-finite generator loss at iter 11410; skipping update. +2025-11-05 21:15:56,862 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,863 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,864 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:56,864 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:56,865 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=15.19, mean=-0.21, std=3.422, absmax=15.19 +2025-11-05 21:15:56,866 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=14.94, mean=-0.2051, std=3.328, absmax=14.94 +2025-11-05 21:15:57,284 ERROR: Encountered non-finite generator loss at iter 11411; skipping update. +2025-11-05 21:15:57,285 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:57,287 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:57,287 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:57,287 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:57,289 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=13.44, mean=-0.2432, std=2.797, absmax=13.44 +2025-11-05 21:15:57,289 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=11.31, mean=-0.2373, std=2.594, absmax=11.5 +2025-11-05 21:15:57,709 ERROR: Encountered non-finite generator loss at iter 11412; skipping update. +2025-11-05 21:15:57,710 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:57,711 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:57,711 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:57,712 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:57,713 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.62, max=13.5, mean=-0.2031, std=3.25, absmax=13.62 +2025-11-05 21:15:57,714 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=12.12, mean=-0.1943, std=2.984, absmax=12.12 +2025-11-05 21:15:58,132 ERROR: Encountered non-finite generator loss at iter 11413; skipping update. +2025-11-05 21:15:58,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,135 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,135 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:58,136 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=12.88, mean=-0.2539, std=3.594, absmax=14.12 +2025-11-05 21:15:58,137 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.19, max=11.62, mean=-0.2246, std=3.422, absmax=14.19 +2025-11-05 21:15:58,555 ERROR: Encountered non-finite generator loss at iter 11414; skipping update. +2025-11-05 21:15:58,557 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,558 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,558 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:58,560 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=14.88, mean=-0.1465, std=3.516, absmax=14.88 +2025-11-05 21:15:58,560 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=14.81, mean=-0.1758, std=3.328, absmax=14.81 +2025-11-05 21:15:58,978 ERROR: Encountered non-finite generator loss at iter 11415; skipping update. +2025-11-05 21:15:58,980 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,981 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:58,982 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:58,984 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=12.88, mean=-0.09912, std=3.297, absmax=14 +2025-11-05 21:15:58,985 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=10.81, mean=-0.106, std=3.031, absmax=12.12 +2025-11-05 21:15:59,403 ERROR: Encountered non-finite generator loss at iter 11416; skipping update. +2025-11-05 21:15:59,404 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:59,405 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:59,407 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:59,408 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:59,409 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=12.31, mean=-0.3281, std=3.078, absmax=13.44 +2025-11-05 21:15:59,410 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=10.69, mean=-0.3145, std=2.938, absmax=12.81 +2025-11-05 21:15:59,828 ERROR: Encountered non-finite generator loss at iter 11417; skipping update. +2025-11-05 21:15:59,829 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:59,831 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:15:59,832 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:15:59,833 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:15:59,834 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=12.81, mean=-0.1836, std=3.047, absmax=13.38 +2025-11-05 21:15:59,835 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.94, max=10.88, mean=-0.1943, std=2.859, absmax=14.94 +2025-11-05 21:16:00,254 ERROR: Encountered non-finite generator loss at iter 11418; skipping update. +2025-11-05 21:16:00,255 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:00,256 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:00,257 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:00,258 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:00,259 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=12, mean=-0.2051, std=2.719, absmax=13.19 +2025-11-05 21:16:00,260 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=10.5, mean=-0.2139, std=2.609, absmax=11.19 +2025-11-05 21:16:00,678 ERROR: Encountered non-finite generator loss at iter 11419; skipping update. +2025-11-05 21:16:00,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:00,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:00,680 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:00,680 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:00,682 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=13.44, mean=0.02991, std=3.578, absmax=14.12 +2025-11-05 21:16:00,683 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=12.38, mean=0.04126, std=3.344, absmax=13.06 +2025-11-05 21:16:01,102 ERROR: Encountered non-finite generator loss at iter 11420; skipping update. +2025-11-05 21:16:01,103 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,105 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:01,106 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=13.44, mean=-0.2021, std=2.734, absmax=13.44 +2025-11-05 21:16:01,107 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.56, max=10.81, mean=-0.1777, std=2.547, absmax=11.56 +2025-11-05 21:16:01,525 ERROR: Encountered non-finite generator loss at iter 11421; skipping update. +2025-11-05 21:16:01,527 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,529 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:01,530 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=12.12, mean=-0.0791, std=3.109, absmax=12.56 +2025-11-05 21:16:01,531 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=10.56, mean=-0.08936, std=3, absmax=12.56 +2025-11-05 21:16:01,949 ERROR: Encountered non-finite generator loss at iter 11422; skipping update. +2025-11-05 21:16:01,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,951 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,951 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:01,952 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:01,953 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=11.44, mean=-0.2871, std=2.828, absmax=14 +2025-11-05 21:16:01,954 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=11.06, mean=-0.3105, std=2.766, absmax=12.25 +2025-11-05 21:16:02,371 ERROR: Encountered non-finite generator loss at iter 11423; skipping update. +2025-11-05 21:16:02,372 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:02,373 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:02,373 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:02,374 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:02,375 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.38, max=11.12, mean=-0.1973, std=2.844, absmax=11.38 +2025-11-05 21:16:02,376 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.75, max=11.5, mean=-0.1836, std=2.766, absmax=11.5 +2025-11-05 21:16:02,793 ERROR: Encountered non-finite generator loss at iter 11424; skipping update. +2025-11-05 21:16:02,795 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:02,796 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:02,796 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:02,796 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:02,798 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=13.31, mean=-0.2021, std=2.938, absmax=13.31 +2025-11-05 21:16:02,799 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=11.69, mean=-0.1992, std=2.734, absmax=12.88 +2025-11-05 21:16:03,217 ERROR: Encountered non-finite generator loss at iter 11425; skipping update. +2025-11-05 21:16:03,218 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:03,219 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:03,219 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:03,220 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:03,221 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.5, max=12.12, mean=-0.3066, std=3.328, absmax=14.5 +2025-11-05 21:16:03,222 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.44, max=10.62, mean=-0.3086, std=3.156, absmax=13.44 +2025-11-05 21:16:03,641 ERROR: Encountered non-finite generator loss at iter 11426; skipping update. +2025-11-05 21:16:03,642 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:03,643 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:03,643 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:03,644 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:03,645 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.62, max=12.06, mean=-0.2373, std=2.453, absmax=12.62 +2025-11-05 21:16:03,649 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.56, max=9.938, mean=-0.2559, std=2.234, absmax=10.56 +2025-11-05 21:16:04,065 ERROR: Encountered non-finite generator loss at iter 11427; skipping update. +2025-11-05 21:16:04,066 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,068 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,068 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,069 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:04,070 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=14.62, mean=-0.1299, std=3.016, absmax=14.62 +2025-11-05 21:16:04,071 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=11.81, mean=-0.1084, std=2.875, absmax=11.88 +2025-11-05 21:16:04,489 ERROR: Encountered non-finite generator loss at iter 11428; skipping update. +2025-11-05 21:16:04,490 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,491 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,491 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,492 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:04,494 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=11.31, mean=-0.2891, std=2.797, absmax=12.69 +2025-11-05 21:16:04,494 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=10.5, mean=-0.2969, std=2.672, absmax=12.62 +2025-11-05 21:16:04,913 ERROR: Encountered non-finite generator loss at iter 11429; skipping update. +2025-11-05 21:16:04,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,915 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,915 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:04,916 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:04,917 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.12, max=11.62, mean=-0.2676, std=2.797, absmax=12.12 +2025-11-05 21:16:04,918 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=11, mean=-0.2578, std=2.672, absmax=11.12 +2025-11-05 21:16:05,336 ERROR: Encountered non-finite generator loss at iter 11430; skipping update. +2025-11-05 21:16:05,337 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:05,339 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:05,339 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:05,340 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:05,341 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.69, max=13.44, mean=-0.2373, std=3.266, absmax=13.44 +2025-11-05 21:16:05,342 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=13.44, mean=-0.2197, std=3.078, absmax=13.44 +2025-11-05 21:16:05,760 ERROR: Encountered non-finite generator loss at iter 11431; skipping update. +2025-11-05 21:16:05,761 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:05,762 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:05,763 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:05,764 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:05,765 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.88, max=17.38, mean=-0.2637, std=3.234, absmax=17.38 +2025-11-05 21:16:05,766 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.88, max=14.06, mean=-0.2324, std=3.047, absmax=14.06 +2025-11-05 21:16:06,184 ERROR: Encountered non-finite generator loss at iter 11432; skipping update. +2025-11-05 21:16:06,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:06,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:06,187 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:06,187 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:06,188 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.12, max=13.94, mean=-0.02039, std=2.859, absmax=15.12 +2025-11-05 21:16:06,189 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.38, max=14.38, mean=-0.02563, std=2.578, absmax=14.38 +2025-11-05 21:16:06,607 ERROR: Encountered non-finite generator loss at iter 11433; skipping update. +2025-11-05 21:16:06,608 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:06,610 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:06,611 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:06,612 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:06,613 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.75, max=10.5, mean=-0.1099, std=2.656, absmax=11.75 +2025-11-05 21:16:06,614 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=10.44, mean=-0.08691, std=2.578, absmax=11.88 +2025-11-05 21:16:07,034 ERROR: Encountered non-finite generator loss at iter 11434; skipping update. +2025-11-05 21:16:07,035 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,036 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,037 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,037 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:07,038 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=12.94, mean=-0.2402, std=2.984, absmax=14.56 +2025-11-05 21:16:07,039 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.06, max=10.88, mean=-0.2275, std=2.812, absmax=12.06 +2025-11-05 21:16:07,459 ERROR: Encountered non-finite generator loss at iter 11435; skipping update. +2025-11-05 21:16:07,460 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,462 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,462 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,463 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:07,464 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=14.25, mean=-0.1338, std=3.062, absmax=14.25 +2025-11-05 21:16:07,465 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=12.94, mean=-0.1167, std=2.828, absmax=12.94 +2025-11-05 21:16:07,885 ERROR: Encountered non-finite generator loss at iter 11436; skipping update. +2025-11-05 21:16:07,886 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,887 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,887 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:07,888 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:07,890 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.38, max=13.44, mean=-0.2598, std=3.344, absmax=15.38 +2025-11-05 21:16:07,890 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-15, max=11.62, mean=-0.2432, std=3.047, absmax=15 +2025-11-05 21:16:08,310 ERROR: Encountered non-finite generator loss at iter 11437; skipping update. +2025-11-05 21:16:08,311 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:08,312 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:08,312 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:08,313 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:08,315 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=14.19, mean=0.05981, std=3.203, absmax=14.56 +2025-11-05 21:16:08,316 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=12.62, mean=0.05151, std=2.969, absmax=12.62 +2025-11-05 21:16:08,735 ERROR: Encountered non-finite generator loss at iter 11438; skipping update. +2025-11-05 21:16:08,736 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:08,737 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:08,738 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:08,739 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:08,740 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=15.19, mean=-0.125, std=3.078, absmax=15.19 +2025-11-05 21:16:08,741 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.25, max=15.06, mean=-0.1387, std=3.047, absmax=15.06 +2025-11-05 21:16:09,158 ERROR: Encountered non-finite generator loss at iter 11439; skipping update. +2025-11-05 21:16:09,159 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:09,160 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:09,161 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:09,161 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:09,161 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=13.94, mean=0.07715, std=3.047, absmax=13.94 +2025-11-05 21:16:09,162 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=12.19, mean=0.06445, std=2.844, absmax=12.19 +2025-11-05 21:16:09,579 ERROR: Encountered non-finite generator loss at iter 11440; skipping update. +2025-11-05 21:16:09,580 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:09,581 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:09,582 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:09,583 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:09,585 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=16.5, mean=0.01611, std=3.047, absmax=16.5 +2025-11-05 21:16:09,586 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=15.62, mean=0.007385, std=2.797, absmax=15.62 +2025-11-05 21:16:10,004 ERROR: Encountered non-finite generator loss at iter 11441; skipping update. +2025-11-05 21:16:10,005 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,007 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,007 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,007 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:10,009 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=16.62, mean=-0.248, std=2.875, absmax=16.62 +2025-11-05 21:16:10,010 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.94, max=14.19, mean=-0.2373, std=2.719, absmax=14.19 +2025-11-05 21:16:10,428 ERROR: Encountered non-finite generator loss at iter 11442; skipping update. +2025-11-05 21:16:10,429 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,430 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,430 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,431 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:10,432 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=14.69, mean=-0.06396, std=2.844, absmax=14.69 +2025-11-05 21:16:10,433 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=11.75, mean=-0.06104, std=2.625, absmax=12.81 +2025-11-05 21:16:10,850 ERROR: Encountered non-finite generator loss at iter 11443; skipping update. +2025-11-05 21:16:10,851 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,853 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,854 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:10,855 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:10,856 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=14.38, mean=-0.1172, std=2.641, absmax=14.38 +2025-11-05 21:16:10,857 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=12.31, mean=-0.1011, std=2.406, absmax=12.31 +2025-11-05 21:16:11,274 ERROR: Encountered non-finite generator loss at iter 11444; skipping update. +2025-11-05 21:16:11,275 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:11,277 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:11,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:11,278 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:11,279 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=12.88, mean=-0.06738, std=2.859, absmax=12.94 +2025-11-05 21:16:11,280 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=11.31, mean=-0.05225, std=2.641, absmax=11.31 +2025-11-05 21:16:11,698 ERROR: Encountered non-finite generator loss at iter 11445; skipping update. +2025-11-05 21:16:11,699 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:11,700 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:11,701 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:11,702 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:11,703 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.81, max=16.62, mean=0.03076, std=3.219, absmax=16.62 +2025-11-05 21:16:11,704 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=13.06, mean=0.005707, std=2.938, absmax=13.06 +2025-11-05 21:16:12,123 ERROR: Encountered non-finite generator loss at iter 11446; skipping update. +2025-11-05 21:16:12,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,125 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:12,126 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=13.5, mean=-0.04541, std=3.312, absmax=14 +2025-11-05 21:16:12,127 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.19, max=12.38, mean=-0.08105, std=3.172, absmax=13.19 +2025-11-05 21:16:12,544 ERROR: Encountered non-finite generator loss at iter 11447; skipping update. +2025-11-05 21:16:12,546 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,547 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,547 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,549 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:12,550 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.5, max=14.75, mean=-0.1973, std=2.609, absmax=14.75 +2025-11-05 21:16:12,551 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=13.94, mean=-0.1797, std=2.609, absmax=13.94 +2025-11-05 21:16:12,968 ERROR: Encountered non-finite generator loss at iter 11448; skipping update. +2025-11-05 21:16:12,969 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,970 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,971 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:12,973 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:12,974 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=13.25, mean=0.03394, std=3.125, absmax=14.12 +2025-11-05 21:16:12,974 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=12.88, mean=0.03906, std=2.875, absmax=12.88 +2025-11-05 21:16:13,393 ERROR: Encountered non-finite generator loss at iter 11449; skipping update. +2025-11-05 21:16:13,394 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:13,395 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:13,395 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:13,395 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:13,397 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.81, max=13.81, mean=-0.01575, std=3.062, absmax=13.81 +2025-11-05 21:16:13,398 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=11.19, mean=-0.008179, std=2.812, absmax=12.31 +2025-11-05 21:16:13,817 ERROR: Encountered non-finite generator loss at iter 11450; skipping update. +2025-11-05 21:16:13,818 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:13,819 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:13,819 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:13,820 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:13,822 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.75, max=16.12, mean=-0.03003, std=3.812, absmax=16.75 +2025-11-05 21:16:13,823 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-16.12, max=14.69, mean=-0.03467, std=3.562, absmax=16.12 +2025-11-05 21:16:14,241 ERROR: Encountered non-finite generator loss at iter 11451; skipping update. +2025-11-05 21:16:14,242 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:14,243 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:14,243 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:14,244 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:14,245 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.75, max=15.19, mean=-0.123, std=3.109, absmax=15.19 +2025-11-05 21:16:14,246 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=13.38, mean=-0.1104, std=2.875, absmax=13.38 +2025-11-05 21:16:14,664 ERROR: Encountered non-finite generator loss at iter 11452; skipping update. +2025-11-05 21:16:14,665 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:14,666 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:14,666 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:14,667 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:14,668 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=15.75, mean=-0.1572, std=3.203, absmax=15.75 +2025-11-05 21:16:14,669 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.81, max=13.19, mean=-0.1699, std=3.047, absmax=13.19 +2025-11-05 21:16:15,087 ERROR: Encountered non-finite generator loss at iter 11453; skipping update. +2025-11-05 21:16:15,088 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,089 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,089 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,090 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:15,091 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=12.12, mean=-0.09131, std=2.828, absmax=14.12 +2025-11-05 21:16:15,092 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=11.81, mean=-0.1016, std=2.594, absmax=12.44 +2025-11-05 21:16:15,510 ERROR: Encountered non-finite generator loss at iter 11454; skipping update. +2025-11-05 21:16:15,511 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,513 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,513 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,514 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:15,515 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=13.25, mean=-0.1289, std=2.891, absmax=14.19 +2025-11-05 21:16:15,516 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=13.56, mean=-0.1348, std=2.703, absmax=13.56 +2025-11-05 21:16:15,935 ERROR: Encountered non-finite generator loss at iter 11455; skipping update. +2025-11-05 21:16:15,936 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,937 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,937 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:15,938 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:15,940 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.19, max=12.81, mean=-0.1992, std=2.719, absmax=12.81 +2025-11-05 21:16:15,941 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=11, mean=-0.1943, std=2.531, absmax=11.12 +2025-11-05 21:16:16,359 ERROR: Encountered non-finite generator loss at iter 11456; skipping update. +2025-11-05 21:16:16,360 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:16,361 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:16,361 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:16,362 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:16,363 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=11.56, mean=-0.1826, std=3.188, absmax=12.06 +2025-11-05 21:16:16,364 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=11.44, mean=-0.1436, std=2.969, absmax=11.75 +2025-11-05 21:16:16,780 ERROR: Encountered non-finite generator loss at iter 11457; skipping update. +2025-11-05 21:16:16,781 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:16,782 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:16,783 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:16,784 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:16,785 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.06, max=12.31, mean=-0.2598, std=2.547, absmax=12.31 +2025-11-05 21:16:16,786 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.25, max=9.875, mean=-0.2061, std=2.312, absmax=10.25 +2025-11-05 21:16:17,204 ERROR: Encountered non-finite generator loss at iter 11458; skipping update. +2025-11-05 21:16:17,205 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:17,206 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:17,207 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:17,208 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:17,209 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=14.25, mean=-0.1533, std=2.812, absmax=14.25 +2025-11-05 21:16:17,210 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=12.06, mean=-0.1475, std=2.609, absmax=12.06 +2025-11-05 21:16:17,628 ERROR: Encountered non-finite generator loss at iter 11459; skipping update. +2025-11-05 21:16:17,629 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:17,630 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:17,631 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:17,632 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:17,633 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=12.75, mean=-0.2354, std=2.672, absmax=12.75 +2025-11-05 21:16:17,634 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=10.81, mean=-0.2266, std=2.484, absmax=11.62 +2025-11-05 21:16:18,052 ERROR: Encountered non-finite generator loss at iter 11460; skipping update. +2025-11-05 21:16:18,053 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,055 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,055 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,055 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:18,056 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=14.06, mean=-0.0791, std=3.125, absmax=14.06 +2025-11-05 21:16:18,057 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=11.75, mean=-0.09375, std=2.797, absmax=12.88 +2025-11-05 21:16:18,474 ERROR: Encountered non-finite generator loss at iter 11461; skipping update. +2025-11-05 21:16:18,475 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,477 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,477 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,477 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:18,478 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.25, max=16.75, mean=-0.1348, std=3.047, absmax=16.75 +2025-11-05 21:16:18,479 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.06, max=15.19, mean=-0.1572, std=2.766, absmax=15.19 +2025-11-05 21:16:18,897 ERROR: Encountered non-finite generator loss at iter 11462; skipping update. +2025-11-05 21:16:18,898 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,900 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,900 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:18,900 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:18,901 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.25, max=11.31, mean=-0.2021, std=2.859, absmax=13.25 +2025-11-05 21:16:18,904 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=10.81, mean=-0.167, std=2.641, absmax=10.94 +2025-11-05 21:16:19,322 ERROR: Encountered non-finite generator loss at iter 11463; skipping update. +2025-11-05 21:16:19,323 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:19,324 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:19,324 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:19,325 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:19,326 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.06, max=14.75, mean=-0.1543, std=2.906, absmax=14.75 +2025-11-05 21:16:19,327 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=13.44, mean=-0.1426, std=2.797, absmax=13.44 +2025-11-05 21:16:19,746 ERROR: Encountered non-finite generator loss at iter 11464; skipping update. +2025-11-05 21:16:19,747 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:19,748 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:19,748 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:19,749 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:19,750 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=16.75, mean=-0.291, std=2.969, absmax=16.75 +2025-11-05 21:16:19,751 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.69, max=14.06, mean=-0.252, std=2.703, absmax=14.69 +2025-11-05 21:16:20,169 ERROR: Encountered non-finite generator loss at iter 11465; skipping update. +2025-11-05 21:16:20,170 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:20,171 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:20,171 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:20,172 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:20,173 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=11.25, mean=-0.1523, std=2.859, absmax=13.94 +2025-11-05 21:16:20,174 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=9.5, mean=-0.1543, std=2.609, absmax=12.88 +2025-11-05 21:16:20,592 ERROR: Encountered non-finite generator loss at iter 11466; skipping update. +2025-11-05 21:16:20,593 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:20,594 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:20,594 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:20,595 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:20,596 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=15, mean=-0.006042, std=3.109, absmax=15 +2025-11-05 21:16:20,597 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=12.12, mean=0.0005264, std=2.828, absmax=12.12 +2025-11-05 21:16:21,014 ERROR: Encountered non-finite generator loss at iter 11467; skipping update. +2025-11-05 21:16:21,016 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,017 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,017 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,018 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:21,019 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.25, max=15.19, mean=0.1216, std=3.438, absmax=15.19 +2025-11-05 21:16:21,020 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.75, max=15.06, mean=0.1279, std=3.234, absmax=15.06 +2025-11-05 21:16:21,438 ERROR: Encountered non-finite generator loss at iter 11468; skipping update. +2025-11-05 21:16:21,439 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,441 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,441 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,441 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:21,442 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=13, mean=-0.1406, std=2.891, absmax=13.12 +2025-11-05 21:16:21,443 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=11.81, mean=-0.1406, std=2.719, absmax=12.75 +2025-11-05 21:16:21,862 ERROR: Encountered non-finite generator loss at iter 11469; skipping update. +2025-11-05 21:16:21,863 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,865 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,866 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:21,866 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:21,867 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.88, max=17.5, mean=-0.1631, std=3.234, absmax=17.5 +2025-11-05 21:16:21,868 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=16.38, mean=-0.1592, std=3.188, absmax=16.38 +2025-11-05 21:16:22,288 ERROR: Encountered non-finite generator loss at iter 11470; skipping update. +2025-11-05 21:16:22,289 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:22,290 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:22,291 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:22,292 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:22,293 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.75, max=13.5, mean=-0.3359, std=2.812, absmax=13.5 +2025-11-05 21:16:22,294 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12, max=10.12, mean=-0.3184, std=2.656, absmax=12 +2025-11-05 21:16:22,711 ERROR: Encountered non-finite generator loss at iter 11471; skipping update. +2025-11-05 21:16:22,712 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:22,714 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:22,714 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:22,715 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:22,716 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.06, max=11.31, mean=-0.2197, std=2.875, absmax=14.06 +2025-11-05 21:16:22,717 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=11.19, mean=-0.1611, std=2.734, absmax=12.31 +2025-11-05 21:16:23,135 ERROR: Encountered non-finite generator loss at iter 11472; skipping update. +2025-11-05 21:16:23,137 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,138 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,138 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,138 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:23,140 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.12, max=12.69, mean=-0.3145, std=3.016, absmax=13.12 +2025-11-05 21:16:23,140 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.62, max=12.56, mean=-0.3301, std=2.922, absmax=13.62 +2025-11-05 21:16:23,558 ERROR: Encountered non-finite generator loss at iter 11473; skipping update. +2025-11-05 21:16:23,560 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,561 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,561 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,561 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:23,563 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=11.12, mean=-0.2852, std=2.719, absmax=14.56 +2025-11-05 21:16:23,563 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.69, max=10.38, mean=-0.2598, std=2.578, absmax=13.69 +2025-11-05 21:16:23,983 ERROR: Encountered non-finite generator loss at iter 11474; skipping update. +2025-11-05 21:16:23,984 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,985 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,987 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:23,988 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:23,989 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.12, max=11.06, mean=-0.2266, std=2.984, absmax=14.12 +2025-11-05 21:16:23,990 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.81, max=10, mean=-0.2314, std=2.844, absmax=12.81 +2025-11-05 21:16:24,408 ERROR: Encountered non-finite generator loss at iter 11475; skipping update. +2025-11-05 21:16:24,409 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:24,410 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:24,410 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:24,411 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:24,412 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=15.44, mean=-0.1807, std=3.219, absmax=15.44 +2025-11-05 21:16:24,413 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=14.62, mean=-0.1533, std=2.953, absmax=14.62 +2025-11-05 21:16:24,831 ERROR: Encountered non-finite generator loss at iter 11476; skipping update. +2025-11-05 21:16:24,832 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:24,833 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:24,834 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:24,834 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:24,836 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14, max=13.81, mean=-0.2041, std=3, absmax=14 +2025-11-05 21:16:24,836 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.81, max=12.44, mean=-0.2188, std=2.891, absmax=13.81 +2025-11-05 21:16:25,255 ERROR: Encountered non-finite generator loss at iter 11477; skipping update. +2025-11-05 21:16:25,256 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:25,257 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:25,257 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:25,258 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:25,260 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=14.12, mean=-0.168, std=3.266, absmax=14.12 +2025-11-05 21:16:25,261 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=13.5, mean=-0.2012, std=3.078, absmax=13.5 +2025-11-05 21:16:25,678 ERROR: Encountered non-finite generator loss at iter 11478; skipping update. +2025-11-05 21:16:25,679 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:25,680 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:25,681 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:25,681 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:25,682 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=14.38, mean=-0.252, std=2.875, absmax=14.38 +2025-11-05 21:16:25,683 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=12.06, mean=-0.2197, std=2.703, absmax=12.06 +2025-11-05 21:16:26,101 ERROR: Encountered non-finite generator loss at iter 11479; skipping update. +2025-11-05 21:16:26,102 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,104 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,104 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,105 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:26,106 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.56, max=12.31, mean=-0.09424, std=2.75, absmax=12.56 +2025-11-05 21:16:26,107 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=10.5, mean=-0.09863, std=2.531, absmax=11.75 +2025-11-05 21:16:26,526 ERROR: Encountered non-finite generator loss at iter 11480; skipping update. +2025-11-05 21:16:26,527 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,528 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,528 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,529 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:26,530 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=12.81, mean=-0.1934, std=2.75, absmax=12.88 +2025-11-05 21:16:26,531 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=10.75, mean=-0.1699, std=2.562, absmax=12.88 +2025-11-05 21:16:26,949 ERROR: Encountered non-finite generator loss at iter 11481; skipping update. +2025-11-05 21:16:26,950 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,952 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,952 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:26,952 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:26,954 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=12, mean=-0.2207, std=3, absmax=12.38 +2025-11-05 21:16:26,955 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.62, max=10.62, mean=-0.1943, std=2.844, absmax=12.62 +2025-11-05 21:16:27,373 ERROR: Encountered non-finite generator loss at iter 11482; skipping update. +2025-11-05 21:16:27,374 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:27,375 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:27,375 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:27,376 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:27,377 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=11.69, mean=-0.1289, std=2.75, absmax=12.88 +2025-11-05 21:16:27,378 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.56, max=10.75, mean=-0.1348, std=2.5, absmax=11.56 +2025-11-05 21:16:27,795 ERROR: Encountered non-finite generator loss at iter 11483; skipping update. +2025-11-05 21:16:27,796 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:27,797 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:27,797 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:27,799 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:27,800 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=13.12, mean=-0.05493, std=2.938, absmax=13.12 +2025-11-05 21:16:27,801 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.38, max=13.19, mean=-0.01062, std=2.75, absmax=13.19 +2025-11-05 21:16:28,219 ERROR: Encountered non-finite generator loss at iter 11484; skipping update. +2025-11-05 21:16:28,220 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:28,221 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:28,222 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:28,224 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:28,225 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.38, max=12.19, mean=-0.1396, std=2.938, absmax=14.38 +2025-11-05 21:16:28,226 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.5, max=12.19, mean=-0.1113, std=2.719, absmax=12.19 +2025-11-05 21:16:28,644 ERROR: Encountered non-finite generator loss at iter 11485; skipping update. +2025-11-05 21:16:28,645 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:28,647 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:28,648 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:28,649 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:28,650 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.94, max=13.12, mean=-0.09375, std=3.281, absmax=14.94 +2025-11-05 21:16:28,651 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.69, max=11.75, mean=-0.09961, std=3.141, absmax=12.69 +2025-11-05 21:16:29,069 ERROR: Encountered non-finite generator loss at iter 11486; skipping update. +2025-11-05 21:16:29,070 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,071 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,071 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,071 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:29,072 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.75, max=14.25, mean=-0.1328, std=2.922, absmax=14.25 +2025-11-05 21:16:29,073 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=11.5, mean=-0.1328, std=2.734, absmax=11.5 +2025-11-05 21:16:29,490 ERROR: Encountered non-finite generator loss at iter 11487; skipping update. +2025-11-05 21:16:29,491 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,492 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,492 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,493 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:29,494 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.06, max=12.25, mean=-0.3613, std=3.438, absmax=14.06 +2025-11-05 21:16:29,495 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=10.06, mean=-0.3223, std=3.156, absmax=12.25 +2025-11-05 21:16:29,913 ERROR: Encountered non-finite generator loss at iter 11488; skipping update. +2025-11-05 21:16:29,914 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,916 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,916 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:29,918 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:29,919 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=13.56, mean=-0.1572, std=2.984, absmax=13.56 +2025-11-05 21:16:29,920 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.94, max=11.94, mean=-0.1562, std=2.766, absmax=12.94 +2025-11-05 21:16:30,338 ERROR: Encountered non-finite generator loss at iter 11489; skipping update. +2025-11-05 21:16:30,339 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:30,341 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:30,341 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:30,341 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:30,342 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.5, max=13.81, mean=-0.1758, std=3.047, absmax=13.81 +2025-11-05 21:16:30,343 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.19, max=14.06, mean=-0.1533, std=2.953, absmax=14.06 +2025-11-05 21:16:30,761 ERROR: Encountered non-finite generator loss at iter 11490; skipping update. +2025-11-05 21:16:30,762 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:30,764 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:30,764 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:30,765 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:30,766 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.38, max=12.56, mean=-0.1182, std=3.031, absmax=14.38 +2025-11-05 21:16:30,767 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=11.88, mean=-0.08789, std=2.812, absmax=12.12 +2025-11-05 21:16:31,184 ERROR: Encountered non-finite generator loss at iter 11491; skipping update. +2025-11-05 21:16:31,185 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:31,186 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:31,186 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:31,187 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:31,188 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.69, max=13, mean=-0.2871, std=2.828, absmax=13 +2025-11-05 21:16:31,188 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.56, max=10.75, mean=-0.3262, std=2.562, absmax=10.75 +2025-11-05 21:16:31,607 ERROR: Encountered non-finite generator loss at iter 11492; skipping update. +2025-11-05 21:16:31,608 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:31,609 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:31,610 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:31,610 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:31,611 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.19, max=14.19, mean=-0.08887, std=3, absmax=14.19 +2025-11-05 21:16:31,612 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=13.31, mean=-0.104, std=2.781, absmax=13.31 +2025-11-05 21:16:32,031 ERROR: Encountered non-finite generator loss at iter 11493; skipping update. +2025-11-05 21:16:32,032 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,033 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,034 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,035 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:32,037 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.88, max=12.56, mean=-0.2695, std=3, absmax=12.88 +2025-11-05 21:16:32,038 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.75, max=11.56, mean=-0.2383, std=2.844, absmax=11.75 +2025-11-05 21:16:32,456 ERROR: Encountered non-finite generator loss at iter 11494; skipping update. +2025-11-05 21:16:32,457 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,458 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,458 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,460 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:32,461 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12, max=12.69, mean=0.009033, std=3.047, absmax=12.69 +2025-11-05 21:16:32,462 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.31, max=11.19, mean=0.007507, std=2.828, absmax=12.31 +2025-11-05 21:16:32,879 ERROR: Encountered non-finite generator loss at iter 11495; skipping update. +2025-11-05 21:16:32,880 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,881 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,882 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:32,883 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:32,884 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.69, max=13.56, mean=-0.2451, std=3.109, absmax=14.69 +2025-11-05 21:16:32,885 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=11.56, mean=-0.248, std=2.906, absmax=13.06 +2025-11-05 21:16:33,306 ERROR: Encountered non-finite generator loss at iter 11496; skipping update. +2025-11-05 21:16:33,307 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:33,308 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:33,309 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:33,310 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:33,311 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=11, mean=-0.1328, std=2.828, absmax=13 +2025-11-05 21:16:33,312 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.12, max=9.75, mean=-0.1396, std=2.734, absmax=12.12 +2025-11-05 21:16:33,730 ERROR: Encountered non-finite generator loss at iter 11497; skipping update. +2025-11-05 21:16:33,731 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:33,732 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:33,733 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:33,734 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:33,735 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=14.81, mean=0.04419, std=3.828, absmax=14.81 +2025-11-05 21:16:33,736 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.12, max=15.25, mean=0.04224, std=3.516, absmax=15.25 +2025-11-05 21:16:34,154 ERROR: Encountered non-finite generator loss at iter 11498; skipping update. +2025-11-05 21:16:34,156 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:34,157 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:34,157 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:34,158 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:34,159 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.44, max=15.06, mean=-0.1069, std=3, absmax=15.06 +2025-11-05 21:16:34,160 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.62, max=12.62, mean=-0.09473, std=2.797, absmax=12.62 +2025-11-05 21:16:34,578 ERROR: Encountered non-finite generator loss at iter 11499; skipping update. +2025-11-05 21:16:34,579 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:34,580 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:34,580 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:34,581 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:34,582 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.56, max=12.5, mean=-0.168, std=3.188, absmax=14.56 +2025-11-05 21:16:34,583 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.69, max=10.88, mean=-0.1689, std=2.922, absmax=13.69 +2025-11-05 21:16:35,001 ERROR: Encountered non-finite generator loss at iter 11500; skipping update. +2025-11-05 21:16:35,002 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,003 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,003 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,004 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:35,005 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-20, max=15.56, mean=-0.165, std=2.766, absmax=20 +2025-11-05 21:16:35,007 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-18.88, max=13, mean=-0.1719, std=2.719, absmax=18.88 +2025-11-05 21:16:35,007 INFO: [40..][epoch: 0, step: 11,500, lr:(2.000e-04,)] [eta: 1 day, 19:14:39, time (data): 0.424 (0.000)] +2025-11-05 21:16:35,426 ERROR: Encountered non-finite generator loss at iter 11501; skipping update. +2025-11-05 21:16:35,427 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,428 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,428 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,428 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:35,429 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.75, max=12.94, mean=-0.2275, std=2.812, absmax=12.94 +2025-11-05 21:16:35,430 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.12, max=12.88, mean=-0.252, std=2.672, absmax=12.88 +2025-11-05 21:16:35,849 ERROR: Encountered non-finite generator loss at iter 11502; skipping update. +2025-11-05 21:16:35,850 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,852 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,853 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:35,854 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:35,855 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.94, max=13, mean=-0.0008049, std=2.938, absmax=14.94 +2025-11-05 21:16:35,856 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.88, max=11.88, mean=-0.002792, std=2.766, absmax=13.88 +2025-11-05 21:16:36,273 ERROR: Encountered non-finite generator loss at iter 11503; skipping update. +2025-11-05 21:16:36,274 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:36,276 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:36,277 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:36,278 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:36,279 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=13.31, mean=0.02039, std=3.047, absmax=13.31 +2025-11-05 21:16:36,280 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=11.44, mean=0.0332, std=2.828, absmax=12.38 +2025-11-05 21:16:36,697 ERROR: Encountered non-finite generator loss at iter 11504; skipping update. +2025-11-05 21:16:36,698 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:36,699 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:36,699 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:36,700 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:36,701 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.69, max=12.12, mean=-0.21, std=2.812, absmax=12.12 +2025-11-05 21:16:36,702 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.38, max=11.5, mean=-0.1582, std=2.641, absmax=11.5 +2025-11-05 21:16:37,122 ERROR: Encountered non-finite generator loss at iter 11505; skipping update. +2025-11-05 21:16:37,124 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,125 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,125 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,125 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:37,127 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=13.44, mean=-0.1235, std=2.828, absmax=13.44 +2025-11-05 21:16:37,128 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.56, max=11.75, mean=-0.1221, std=2.672, absmax=11.75 +2025-11-05 21:16:37,548 ERROR: Encountered non-finite generator loss at iter 11506; skipping update. +2025-11-05 21:16:37,550 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,551 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,551 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,551 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:37,552 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.44, max=12.62, mean=-0.124, std=2.531, absmax=13.44 +2025-11-05 21:16:37,553 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=10.56, mean=-0.1357, std=2.359, absmax=11.31 +2025-11-05 21:16:37,974 ERROR: Encountered non-finite generator loss at iter 11507; skipping update. +2025-11-05 21:16:37,975 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,976 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,976 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:37,976 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:37,977 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=15.62, mean=-0.2002, std=2.891, absmax=15.62 +2025-11-05 21:16:37,978 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=14.38, mean=-0.1836, std=2.734, absmax=14.38 +2025-11-05 21:16:38,398 ERROR: Encountered non-finite generator loss at iter 11508; skipping update. +2025-11-05 21:16:38,399 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:38,400 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:38,401 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:38,401 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:38,402 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=14.06, mean=-0.1113, std=3.109, absmax=14.06 +2025-11-05 21:16:38,403 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.81, max=12.31, mean=-0.09277, std=2.891, absmax=12.31 +2025-11-05 21:16:38,822 ERROR: Encountered non-finite generator loss at iter 11509; skipping update. +2025-11-05 21:16:38,823 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:38,824 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:38,824 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:38,824 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:38,826 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=12.44, mean=-0.252, std=3.188, absmax=12.94 +2025-11-05 21:16:38,826 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.06, max=11.69, mean=-0.1895, std=3, absmax=13.06 +2025-11-05 21:16:39,245 ERROR: Encountered non-finite generator loss at iter 11510; skipping update. +2025-11-05 21:16:39,246 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:39,247 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:39,247 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:39,247 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:39,248 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.38, max=12.69, mean=-0.2617, std=2.859, absmax=13.38 +2025-11-05 21:16:39,249 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=11.19, mean=-0.2305, std=2.656, absmax=12.44 +2025-11-05 21:16:39,667 ERROR: Encountered non-finite generator loss at iter 11511; skipping update. +2025-11-05 21:16:39,668 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:39,669 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:39,670 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:39,670 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:39,671 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.5, max=14.69, mean=-0.006958, std=3.141, absmax=14.69 +2025-11-05 21:16:39,672 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.88, max=13.88, mean=-0.05688, std=2.922, absmax=13.88 +2025-11-05 21:16:40,089 ERROR: Encountered non-finite generator loss at iter 11512; skipping update. +2025-11-05 21:16:40,090 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,092 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,092 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,093 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:40,094 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=17, mean=-0.2012, std=2.75, absmax=17 +2025-11-05 21:16:40,095 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.44, max=13.25, mean=-0.2256, std=2.562, absmax=13.25 +2025-11-05 21:16:40,514 ERROR: Encountered non-finite generator loss at iter 11513; skipping update. +2025-11-05 21:16:40,515 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,516 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,516 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,516 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:40,518 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.94, max=13.81, mean=-0.1426, std=2.891, absmax=13.94 +2025-11-05 21:16:40,518 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.94, max=10.94, mean=-0.1055, std=2.734, absmax=12.94 +2025-11-05 21:16:40,937 ERROR: Encountered non-finite generator loss at iter 11514; skipping update. +2025-11-05 21:16:40,938 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,940 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,940 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:40,941 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:40,943 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.06, max=12.81, mean=-0.3105, std=3, absmax=14.06 +2025-11-05 21:16:40,944 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.88, max=11.25, mean=-0.3027, std=2.781, absmax=13.88 +2025-11-05 21:16:41,362 ERROR: Encountered non-finite generator loss at iter 11515; skipping update. +2025-11-05 21:16:41,363 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:41,364 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:41,365 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:41,365 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:41,366 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.5, max=13.31, mean=-0.1011, std=3.109, absmax=13.31 +2025-11-05 21:16:41,367 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=12.19, mean=-0.1035, std=2.906, absmax=12.56 +2025-11-05 21:16:41,784 ERROR: Encountered non-finite generator loss at iter 11516; skipping update. +2025-11-05 21:16:41,785 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:41,787 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:41,787 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:41,788 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:41,789 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.94, max=13.56, mean=-0.09326, std=3.453, absmax=13.56 +2025-11-05 21:16:41,791 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.25, max=12, mean=-0.08838, std=3.141, absmax=12.25 +2025-11-05 21:16:42,209 ERROR: Encountered non-finite generator loss at iter 11517; skipping update. +2025-11-05 21:16:42,210 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:42,211 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:42,212 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:42,212 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:42,213 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-16.62, max=13.19, mean=-0.09766, std=3.125, absmax=16.62 +2025-11-05 21:16:42,214 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-13.31, max=11.19, mean=-0.0957, std=2.859, absmax=13.31 +2025-11-05 21:16:42,632 ERROR: Encountered non-finite generator loss at iter 11518; skipping update. +2025-11-05 21:16:42,634 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:42,635 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:42,635 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:42,635 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:42,636 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.56, max=14.12, mean=-0.09863, std=3.094, absmax=14.12 +2025-11-05 21:16:42,637 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.38, max=13.5, mean=-0.1309, std=2.844, absmax=13.5 +2025-11-05 21:16:43,055 ERROR: Encountered non-finite generator loss at iter 11519; skipping update. +2025-11-05 21:16:43,057 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,058 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,058 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,058 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:43,059 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.38, max=12.88, mean=-0.1406, std=2.891, absmax=12.88 +2025-11-05 21:16:43,060 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=11.25, mean=-0.1611, std=2.641, absmax=11.5 +2025-11-05 21:16:43,478 ERROR: Encountered non-finite generator loss at iter 11520; skipping update. +2025-11-05 21:16:43,480 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,481 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,481 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,483 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:43,484 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.81, max=14.06, mean=-0.1504, std=2.984, absmax=14.06 +2025-11-05 21:16:43,484 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.25, max=12.12, mean=-0.1406, std=2.703, absmax=12.12 +2025-11-05 21:16:43,902 ERROR: Encountered non-finite generator loss at iter 11521; skipping update. +2025-11-05 21:16:43,903 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,904 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,904 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:43,905 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:43,906 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.31, max=14.31, mean=0.01544, std=3.344, absmax=14.31 +2025-11-05 21:16:43,907 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.5, max=14, mean=-0.00824, std=3.234, absmax=14 +2025-11-05 21:16:44,325 ERROR: Encountered non-finite generator loss at iter 11522; skipping update. +2025-11-05 21:16:44,326 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:44,328 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:44,328 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:44,329 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:44,330 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.69, max=13.81, mean=-0.1904, std=2.984, absmax=13.81 +2025-11-05 21:16:44,331 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.88, max=13.94, mean=-0.1562, std=2.859, absmax=13.94 +2025-11-05 21:16:44,749 ERROR: Encountered non-finite generator loss at iter 11523; skipping update. +2025-11-05 21:16:44,751 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:44,752 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:44,752 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:44,753 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:44,754 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.31, max=13.56, mean=-0.08154, std=3.219, absmax=14.31 +2025-11-05 21:16:44,754 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.19, max=13, mean=-0.05884, std=2.984, absmax=13 +2025-11-05 21:16:45,174 ERROR: Encountered non-finite generator loss at iter 11524; skipping update. +2025-11-05 21:16:45,175 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:45,176 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:45,177 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:45,177 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:45,178 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.19, max=15.62, mean=-0.0008812, std=3.578, absmax=15.62 +2025-11-05 21:16:45,179 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.5, max=15.5, mean=0.0008659, std=3.391, absmax=15.5 +2025-11-05 21:16:45,596 ERROR: Encountered non-finite generator loss at iter 11525; skipping update. +2025-11-05 21:16:45,597 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:45,598 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:45,599 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:45,600 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:45,601 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.31, max=13.12, mean=-0.1602, std=2.797, absmax=13.31 +2025-11-05 21:16:45,602 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.38, max=12.19, mean=-0.1572, std=2.594, absmax=12.38 +2025-11-05 21:16:46,019 ERROR: Encountered non-finite generator loss at iter 11526; skipping update. +2025-11-05 21:16:46,020 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,022 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,022 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,023 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:46,025 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12, max=14.69, mean=-0.1357, std=3.141, absmax=14.69 +2025-11-05 21:16:46,025 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=13.25, mean=-0.1133, std=2.969, absmax=13.25 +2025-11-05 21:16:46,442 ERROR: Encountered non-finite generator loss at iter 11527; skipping update. +2025-11-05 21:16:46,443 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,444 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,444 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,445 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:46,446 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13.56, max=12.19, mean=-0.1426, std=2.812, absmax=13.56 +2025-11-05 21:16:46,447 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-11.31, max=11.19, mean=-0.1206, std=2.641, absmax=11.31 +2025-11-05 21:16:46,865 ERROR: Encountered non-finite generator loss at iter 11528; skipping update. +2025-11-05 21:16:46,866 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,867 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,868 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:46,868 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:46,869 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-15.12, max=14.12, mean=-0.1562, std=3.125, absmax=15.12 +2025-11-05 21:16:46,870 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.44, max=13, mean=-0.1514, std=3, absmax=13 +2025-11-05 21:16:47,287 ERROR: Encountered non-finite generator loss at iter 11529; skipping update. +2025-11-05 21:16:47,288 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:47,289 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:47,290 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:47,290 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:47,291 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-11.94, max=12.88, mean=-0.2021, std=2.875, absmax=12.88 +2025-11-05 21:16:47,292 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.94, max=11.81, mean=-0.208, std=2.672, absmax=11.81 +2025-11-05 21:16:47,709 ERROR: Encountered non-finite generator loss at iter 11530; skipping update. +2025-11-05 21:16:47,710 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:47,712 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:47,712 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:47,712 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:47,713 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.25, max=13.69, mean=-0.02173, std=3.125, absmax=14.25 +2025-11-05 21:16:47,714 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-14.56, max=12.88, mean=0.002731, std=2.938, absmax=14.56 +2025-11-05 21:16:48,132 ERROR: Encountered non-finite generator loss at iter 11531; skipping update. +2025-11-05 21:16:48,133 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,134 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,134 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,135 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:48,135 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-14.44, max=15.12, mean=-0.1328, std=3.109, absmax=15.12 +2025-11-05 21:16:48,136 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.75, max=15.62, mean=-0.1328, std=2.906, absmax=15.62 +2025-11-05 21:16:48,555 ERROR: Encountered non-finite generator loss at iter 11532; skipping update. +2025-11-05 21:16:48,556 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,557 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,558 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,558 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:48,559 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-12.06, max=11.56, mean=-0.08154, std=2.719, absmax=12.06 +2025-11-05 21:16:48,560 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-10.88, max=11.31, mean=-0.05151, std=2.641, absmax=11.31 +2025-11-05 21:16:48,978 ERROR: Encountered non-finite generator loss at iter 11533; skipping update. +2025-11-05 21:16:48,979 ERROR: loss[eagle_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,981 ERROR: loss[l1_pixel_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,981 ERROR: loss[fft_frequency_x2_opt]: nan (finite=False) +2025-11-05 21:16:48,982 ERROR: tensor[output_primary]: shape=(12, 16, 128, 128), finite=False, min=nan, max=nan, mean=nan, std=nan, absmax=nan +2025-11-05 21:16:48,983 ERROR: tensor[gt_primary]: shape=(12, 16, 64, 64), finite=True, min=-13, max=11.88, mean=-0.06787, std=2.672, absmax=13 +2025-11-05 21:16:48,984 ERROR: tensor[lq]: shape=(12, 16, 32, 32), finite=True, min=-12.56, max=10.62, mean=-0.07031, std=2.469, absmax=12.56 diff --git a/05_11_2025/40_archived_20251105_164737/basicsr_options.yaml b/05_11_2025/40_archived_20251105_164737/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..68bf40608d636416f0ea673222a126888a258765 --- /dev/null +++ b/05_11_2025/40_archived_20251105_164737/basicsr_options.yaml @@ -0,0 +1,238 @@ +# GENERATE TIME: Wed Nov 5 16:30:19 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + backend: null +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '40' +name: '40' diff --git a/05_11_2025/40_archived_20251105_164737/train_40_20251105_163019.log b/05_11_2025/40_archived_20251105_164737/train_40_20251105_163019.log new file mode 100644 index 0000000000000000000000000000000000000000..7afb0a4cb480c6d0a41736fa84418253ffa30a1d --- /dev/null +++ b/05_11_2025/40_archived_20251105_164737/train_40_20251105_163019.log @@ -0,0 +1,597 @@ +2025-11-05 16:30:19,068 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-05 16:30:19,069 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 8 + manual_seed: 0 + find_unused_parameters: True + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40 + models: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/visualization + ] + compile:[ + enabled: False + mode: max-autotune + dynamic: True + fullgraph: False + backend: None + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 40 + name: 40 + dist: True + rank: 0 + world_size: 8 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-05 16:30:20,748 INFO: Use wandb logger with id=rl0ik5co; project=Swin2SR-Latent-SR. +2025-11-05 16:30:33,569 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-05 16:30:33,570 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 8 + Steps per epoch: 50610 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-11-05 16:30:33,574 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-05 16:30:33,574 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-05 16:30:33,702 INFO: Network [SwinIRMultiHead] is created. +2025-11-05 16:30:36,310 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-05 16:30:36,310 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-05 16:30:36,657 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39/models/net_g_45000.pth [key=params]. +2025-11-05 16:30:36,681 INFO: Use EMA with decay: 0.999 +2025-11-05 16:30:36,790 INFO: Network [SwinIRMultiHead] is created. +2025-11-05 16:30:36,850 INFO: Loading: params_ema does not exist, use params. +2025-11-05 16:30:36,851 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39/models/net_g_45000.pth [key=params]. +2025-11-05 16:30:36,873 INFO: Loss [Eagle_Loss] is created. +2025-11-05 16:30:36,874 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-11-05 16:30:36,875 INFO: Loss [L1Loss] is created. +2025-11-05 16:30:36,876 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-05 16:30:36,878 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-05 16:30:36,879 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-05 16:30:36,880 INFO: Loss [Eagle_Loss] is created. +2025-11-05 16:30:36,881 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-05 16:30:36,882 INFO: Loss [L1Loss] is created. +2025-11-05 16:30:36,882 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-05 16:30:36,883 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-05 16:30:36,884 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-05 16:30:36,886 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-05 16:30:36,886 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-05 16:31:56,475 INFO: Start training from epoch: 0, step: 0 +2025-11-05 16:31:58,415 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae diff --git a/05_11_2025/40_archived_20251105_165150/basicsr_options.yaml b/05_11_2025/40_archived_20251105_165150/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..1c77d70e22a0f4a7bb5ab6a37a1005c923d339f7 --- /dev/null +++ b/05_11_2025/40_archived_20251105_165150/basicsr_options.yaml @@ -0,0 +1,243 @@ +# GENERATE TIME: Wed Nov 5 16:47:37 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '40' +name: '40' diff --git a/05_11_2025/40_archived_20251105_165150/train_40_20251105_164737.log b/05_11_2025/40_archived_20251105_165150/train_40_20251105_164737.log new file mode 100644 index 0000000000000000000000000000000000000000..2c0bfed7bd71fe5d475043e88e6e30ff49a83f29 --- /dev/null +++ b/05_11_2025/40_archived_20251105_165150/train_40_20251105_164737.log @@ -0,0 +1,607 @@ +2025-11-05 16:47:37,860 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-05 16:47:37,860 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 8 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: True + persistent_workers: True + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40 + models: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/40/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + ] + fft_frequency_x2_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 5e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + ] + fft_frequency_x4_opt:[ + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: False + alpha: 0.0 + normalize_weight: True + eps: 1e-8 + ] + ] + val:[ + val_freq: 5000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 40 + name: 40 + dist: True + rank: 0 + world_size: 8 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-05 16:47:39,688 INFO: Use wandb logger with id=v9dhyq26; project=Swin2SR-Latent-SR. +2025-11-05 16:47:52,073 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-05 16:47:52,073 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 10 + World size (gpu number): 8 + Steps per epoch: 60732 + Configured training steps: 125000 + Approximate epochs to cover: 3. +2025-11-05 16:47:52,077 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-05 16:47:52,077 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-05 16:47:52,208 INFO: Network [SwinIRMultiHead] is created. +2025-11-05 16:47:54,437 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-05 16:47:54,438 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-05 16:47:54,484 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39/models/net_g_45000.pth [key=params]. +2025-11-05 16:47:54,507 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-05 16:47:54,508 INFO: Use EMA with decay: 0.999 +2025-11-05 16:47:54,619 INFO: Network [SwinIRMultiHead] is created. +2025-11-05 16:47:54,679 INFO: Loading: params_ema does not exist, use params. +2025-11-05 16:47:54,680 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39/models/net_g_45000.pth [key=params]. +2025-11-05 16:47:54,702 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-05 16:47:54,704 INFO: Loss [Eagle_Loss] is created. +2025-11-05 16:47:54,704 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=5e-05). +2025-11-05 16:47:54,705 INFO: Loss [L1Loss] is created. +2025-11-05 16:47:54,706 INFO: Initialized l1_pixel_x2_opt in pixel space (w=10.0). +2025-11-05 16:47:54,708 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-05 16:47:54,709 INFO: Initialized fft_frequency_x2_opt in pixel space (w=1.0). +2025-11-05 16:47:54,710 INFO: Loss [Eagle_Loss] is created. +2025-11-05 16:47:54,711 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=5e-05). +2025-11-05 16:47:54,712 INFO: Loss [L1Loss] is created. +2025-11-05 16:47:54,713 INFO: Initialized l1_pixel_x4_opt in pixel space (w=10.0). +2025-11-05 16:47:54,715 INFO: Loss [FFTFrequencyLoss] is created. +2025-11-05 16:47:54,715 INFO: Initialized fft_frequency_x4_opt in pixel space (w=1.0). +2025-11-05 16:47:54,717 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-05 16:47:54,718 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-05 16:47:54,719 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-05 16:49:12,577 INFO: Start training from epoch: 0, step: 0 +2025-11-05 16:49:14,489 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-05 16:51:26,479 INFO: [40..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 16:18:14, time (data): 1.339 (0.013)] eagle_pixel_x2_opt: 5.7980e+00 l1_pixel_x2_opt: 4.4891e-02 fft_frequency_x2_opt: 3.9581e-02 eagle_pixel_x4_opt: 8.2607e+00 l1_pixel_x4_opt: 6.5542e-02 fft_frequency_x4_opt: 5.2936e-02 diff --git a/05_11_2025/41/basicsr_options.yaml b/05_11_2025/41/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..27168b30ca5bd73d40fde055799c0707057db864 --- /dev/null +++ b/05_11_2025/41/basicsr_options.yaml @@ -0,0 +1,255 @@ +# GENERATE TIME: Wed Nov 5 21:36:18 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/05_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '41' +name: '41' diff --git a/06_11_2025/41/basicsr_options.yaml b/06_11_2025/41/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..551e78db88680e64d537d77020d7144684d2c027 --- /dev/null +++ b/06_11_2025/41/basicsr_options.yaml @@ -0,0 +1,217 @@ +# GENERATE TIME: Thu Nov 6 07:41:09 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + edjes_pixel_x2_opt: + type: EDJESLoss + loss_weight: 0.2 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + edjes_pixel_x4_opt: + type: EDJESLoss + loss_weight: 0.2 + reduction: mean + space: pixel + target: x4 +val: + val_freq: 1000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '41' +name: '41' diff --git a/06_11_2025/41/train_41_20251106_074109.log b/06_11_2025/41/train_41_20251106_074109.log new file mode 100644 index 0000000000000000000000000000000000000000..6de8220ae6a4b07b4218e9fa4ffd750624e9a7cb --- /dev/null +++ b/06_11_2025/41/train_41_20251106_074109.log @@ -0,0 +1,655 @@ +2025-11-06 07:41:09,621 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-06 07:41:09,621 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 4 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/41 + models: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/41/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/41/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/41 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/41/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + edjes_pixel_x2_opt:[ + type: EDJESLoss + loss_weight: 0.2 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + edjes_pixel_x4_opt:[ + type: EDJESLoss + loss_weight: 0.2 + reduction: mean + space: pixel + target: x4 + ] + ] + val:[ + val_freq: 1000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 41 + name: 41 + dist: True + rank: 0 + world_size: 4 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-06 07:41:11,379 INFO: Use wandb logger with id=audonmj2; project=Swin2SR-Latent-SR. +2025-11-06 07:41:24,192 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-06 07:41:24,193 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 4 + Steps per epoch: 101219 + Configured training steps: 125000 + Approximate epochs to cover: 2. +2025-11-06 07:41:24,197 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-06 07:41:24,197 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-06 07:41:24,328 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 07:41:26,015 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-06 07:41:26,017 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-06 07:41:26,089 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 07:41:26,119 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-06 07:41:26,121 INFO: Use EMA with decay: 0.999 +2025-11-06 07:41:26,308 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 07:41:26,392 INFO: Loading: params_ema does not exist, use params. +2025-11-06 07:41:26,392 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 07:41:26,414 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-06 07:41:26,416 INFO: Loss [L1Loss] is created. +2025-11-06 07:41:26,416 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-11-06 07:41:26,417 INFO: Loss [EDJESLoss] is created. +2025-11-06 07:41:26,419 INFO: Initialized edjes_pixel_x2_opt in pixel space (w=0.2). +2025-11-06 07:41:26,420 INFO: Loss [L1Loss] is created. +2025-11-06 07:41:26,420 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-11-06 07:41:26,421 INFO: Loss [EDJESLoss] is created. +2025-11-06 07:41:26,422 INFO: Initialized edjes_pixel_x4_opt in pixel space (w=0.2). +2025-11-06 07:41:26,425 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-06 07:41:26,425 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-06 07:41:26,426 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-06 07:42:45,693 INFO: Start training from epoch: 0, step: 0 +2025-11-06 07:42:47,980 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-06 07:45:12,147 INFO: [41..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 21:56:53, time (data): 1.465 (0.014)] l1_pixel_x2_opt: 3.7643e-02 edjes_pixel_x2_opt: 1.5686e-01 l1_pixel_x4_opt: 5.6282e-02 edjes_pixel_x4_opt: 2.3062e-01 +2025-11-06 07:47:27,174 INFO: [41..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 22:21:28, time (data): 1.407 (0.007)] l1_pixel_x2_opt: 3.9565e-02 edjes_pixel_x2_opt: 1.6347e-01 l1_pixel_x4_opt: 5.7629e-02 edjes_pixel_x4_opt: 2.3460e-01 +2025-11-06 07:49:43,317 INFO: [41..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 1 day, 22:35:56, time (data): 1.361 (0.000)] l1_pixel_x2_opt: 3.3353e-02 edjes_pixel_x2_opt: 1.3818e-01 l1_pixel_x4_opt: 5.3565e-02 edjes_pixel_x4_opt: 2.1244e-01 +2025-11-06 07:51:58,309 INFO: [41..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 1 day, 22:36:05, time (data): 1.356 (0.000)] l1_pixel_x2_opt: 3.6690e-02 edjes_pixel_x2_opt: 1.5029e-01 l1_pixel_x4_opt: 5.6620e-02 edjes_pixel_x4_opt: 2.2512e-01 +2025-11-06 07:54:12,978 INFO: [41..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 1 day, 22:33:57, time (data): 1.347 (0.000)] l1_pixel_x2_opt: 3.6856e-02 edjes_pixel_x2_opt: 1.5025e-01 l1_pixel_x4_opt: 5.7549e-02 edjes_pixel_x4_opt: 2.2474e-01 +2025-11-06 07:56:27,645 INFO: [41..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 1 day, 22:31:46, time (data): 1.347 (0.000)] l1_pixel_x2_opt: 3.4090e-02 edjes_pixel_x2_opt: 1.3993e-01 l1_pixel_x4_opt: 5.3510e-02 edjes_pixel_x4_opt: 2.1442e-01 +2025-11-06 07:58:43,722 INFO: [41..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 1 day, 22:33:44, time (data): 1.361 (0.000)] l1_pixel_x2_opt: 2.9844e-02 edjes_pixel_x2_opt: 1.2108e-01 l1_pixel_x4_opt: 4.7320e-02 edjes_pixel_x4_opt: 1.8153e-01 +2025-11-06 08:01:00,213 INFO: [41..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 1 day, 22:35:42, time (data): 1.363 (0.000)] l1_pixel_x2_opt: 3.4488e-02 edjes_pixel_x2_opt: 1.4096e-01 l1_pixel_x4_opt: 5.3144e-02 edjes_pixel_x4_opt: 2.1083e-01 +2025-11-06 08:03:15,750 INFO: [41..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 1 day, 22:34:33, time (data): 1.355 (0.000)] l1_pixel_x2_opt: 3.9106e-02 edjes_pixel_x2_opt: 1.6458e-01 l1_pixel_x4_opt: 5.9467e-02 edjes_pixel_x4_opt: 2.4319e-01 +2025-11-06 08:05:31,711 INFO: [41..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 1 day, 22:34:03, time (data): 1.357 (0.000)] l1_pixel_x2_opt: 4.3258e-02 edjes_pixel_x2_opt: 1.8140e-01 l1_pixel_x4_opt: 6.7492e-02 edjes_pixel_x4_opt: 2.7312e-01 +2025-11-06 08:07:58,477 INFO: Validation val_x2 + # l1_latent: 1.3950 Best: 1.3950 @ 1000 iter + # pixel_psnr_pt: 32.1045 Best: 32.1045 @ 1000 iter + +2025-11-06 08:10:26,106 INFO: Validation val_x4 + # l1_latent: 1.5432 Best: 1.5432 @ 1000 iter + # l2_latent: 3.7416 Best: 3.7416 @ 1000 iter + # pixel_psnr_pt: 27.4686 Best: 27.4686 @ 1000 iter + +2025-11-06 08:12:41,681 INFO: [41..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 2 days, 7:44:39, time (data): 1.356 (0.000)] l1_pixel_x2_opt: 3.5617e-02 edjes_pixel_x2_opt: 1.5035e-01 l1_pixel_x4_opt: 5.9378e-02 edjes_pixel_x4_opt: 2.3806e-01 +2025-11-06 08:14:56,559 INFO: [41..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 2 days, 6:55:25, time (data): 1.352 (0.000)] l1_pixel_x2_opt: 3.4609e-02 edjes_pixel_x2_opt: 1.4369e-01 l1_pixel_x4_opt: 5.3621e-02 edjes_pixel_x4_opt: 2.1001e-01 +2025-11-06 08:17:11,193 INFO: [41..][epoch: 0, step: 1,300, lr:(2.000e-04,)] [eta: 2 days, 6:13:00, time (data): 1.346 (0.000)] l1_pixel_x2_opt: 3.1187e-02 edjes_pixel_x2_opt: 1.2702e-01 l1_pixel_x4_opt: 4.8487e-02 edjes_pixel_x4_opt: 1.9047e-01 +2025-11-06 08:19:26,448 INFO: [41..][epoch: 0, step: 1,400, lr:(2.000e-04,)] [eta: 2 days, 5:37:15, time (data): 1.349 (0.000)] l1_pixel_x2_opt: 3.7596e-02 edjes_pixel_x2_opt: 1.5142e-01 l1_pixel_x4_opt: 5.7350e-02 edjes_pixel_x4_opt: 2.2558e-01 +2025-11-06 08:21:40,969 INFO: [41..][epoch: 0, step: 1,500, lr:(2.000e-04,)] [eta: 2 days, 5:04:57, time (data): 1.345 (0.000)] l1_pixel_x2_opt: 3.5930e-02 edjes_pixel_x2_opt: 1.4881e-01 l1_pixel_x4_opt: 5.5801e-02 edjes_pixel_x4_opt: 2.2582e-01 +2025-11-06 08:23:57,082 INFO: [41..][epoch: 0, step: 1,600, lr:(2.000e-04,)] [eta: 2 days, 4:38:27, time (data): 1.353 (0.000)] l1_pixel_x2_opt: 3.3941e-02 edjes_pixel_x2_opt: 1.3622e-01 l1_pixel_x4_opt: 5.1085e-02 edjes_pixel_x4_opt: 1.9873e-01 +2025-11-06 08:26:12,567 INFO: [41..][epoch: 0, step: 1,700, lr:(2.000e-04,)] [eta: 2 days, 4:14:02, time (data): 1.354 (0.000)] l1_pixel_x2_opt: 3.1439e-02 edjes_pixel_x2_opt: 1.2811e-01 l1_pixel_x4_opt: 4.9271e-02 edjes_pixel_x4_opt: 1.9395e-01 +2025-11-06 08:28:27,086 INFO: [41..][epoch: 0, step: 1,800, lr:(2.000e-04,)] [eta: 2 days, 3:50:59, time (data): 1.349 (0.000)] l1_pixel_x2_opt: 3.0012e-02 edjes_pixel_x2_opt: 1.2049e-01 l1_pixel_x4_opt: 4.6209e-02 edjes_pixel_x4_opt: 1.7668e-01 +2025-11-06 08:30:42,018 INFO: [41..][epoch: 0, step: 1,900, lr:(2.000e-04,)] [eta: 2 days, 3:30:34, time (data): 1.348 (0.000)] l1_pixel_x2_opt: 3.4100e-02 edjes_pixel_x2_opt: 1.4357e-01 l1_pixel_x4_opt: 5.4126e-02 edjes_pixel_x4_opt: 2.1757e-01 +2025-11-06 08:32:57,907 INFO: [41..][epoch: 0, step: 2,000, lr:(2.000e-04,)] [eta: 2 days, 3:12:56, time (data): 1.354 (0.000)] l1_pixel_x2_opt: 4.0374e-02 edjes_pixel_x2_opt: 1.6921e-01 l1_pixel_x4_opt: 6.2144e-02 edjes_pixel_x4_opt: 2.4907e-01 +2025-11-06 08:35:19,033 INFO: Validation val_x2 + # l1_latent: 1.3680 Best: 1.3950 @ 1000 iter + # pixel_psnr_pt: 32.0943 Best: 32.1045 @ 1000 iter + +2025-11-06 08:37:45,393 INFO: Validation val_x4 + # l1_latent: 1.5506 Best: 1.5506 @ 2000 iter + # l2_latent: 3.7704 Best: 3.7704 @ 2000 iter + # pixel_psnr_pt: 27.4367 Best: 27.4686 @ 1000 iter + +2025-11-06 08:40:00,945 INFO: [41..][epoch: 0, step: 2,100, lr:(2.000e-04,)] [eta: 2 days, 7:36:44, time (data): 1.354 (0.000)] l1_pixel_x2_opt: 3.2619e-02 edjes_pixel_x2_opt: 1.3008e-01 l1_pixel_x4_opt: 4.9773e-02 edjes_pixel_x4_opt: 1.8816e-01 +2025-11-06 08:42:15,868 INFO: [41..][epoch: 0, step: 2,200, lr:(2.000e-04,)] [eta: 2 days, 7:08:00, time (data): 1.351 (0.000)] l1_pixel_x2_opt: 3.9027e-02 edjes_pixel_x2_opt: 1.6004e-01 l1_pixel_x4_opt: 6.0699e-02 edjes_pixel_x4_opt: 2.3646e-01 +2025-11-06 08:44:32,201 INFO: [41..][epoch: 0, step: 2,300, lr:(2.000e-04,)] [eta: 2 days, 6:42:49, time (data): 1.362 (0.000)] l1_pixel_x2_opt: 3.9022e-02 edjes_pixel_x2_opt: 1.5430e-01 l1_pixel_x4_opt: 6.0305e-02 edjes_pixel_x4_opt: 2.3326e-01 +2025-11-06 08:46:46,892 INFO: [41..][epoch: 0, step: 2,400, lr:(2.000e-04,)] [eta: 2 days, 6:18:09, time (data): 1.354 (0.000)] l1_pixel_x2_opt: 2.9388e-02 edjes_pixel_x2_opt: 1.1830e-01 l1_pixel_x4_opt: 4.7032e-02 edjes_pixel_x4_opt: 1.7870e-01 +2025-11-06 08:49:02,214 INFO: [41..][epoch: 0, step: 2,500, lr:(2.000e-04,)] [eta: 2 days, 5:55:48, time (data): 1.354 (0.000)] l1_pixel_x2_opt: 3.6923e-02 edjes_pixel_x2_opt: 1.4599e-01 l1_pixel_x4_opt: 5.5614e-02 edjes_pixel_x4_opt: 2.2152e-01 +2025-11-06 08:51:17,109 INFO: [41..][epoch: 0, step: 2,600, lr:(2.000e-04,)] [eta: 2 days, 5:34:39, time (data): 1.351 (0.000)] l1_pixel_x2_opt: 3.8970e-02 edjes_pixel_x2_opt: 1.5713e-01 l1_pixel_x4_opt: 5.7597e-02 edjes_pixel_x4_opt: 2.2512e-01 +2025-11-06 08:53:31,936 INFO: [41..][epoch: 0, step: 2,700, lr:(2.000e-04,)] [eta: 2 days, 5:14:51, time (data): 1.346 (0.000)] l1_pixel_x2_opt: 3.5273e-02 edjes_pixel_x2_opt: 1.4679e-01 l1_pixel_x4_opt: 5.9164e-02 edjes_pixel_x4_opt: 2.3502e-01 +2025-11-06 08:55:48,248 INFO: [41..][epoch: 0, step: 2,800, lr:(2.000e-04,)] [eta: 2 days, 4:57:23, time (data): 1.355 (0.000)] l1_pixel_x2_opt: 2.7712e-02 edjes_pixel_x2_opt: 1.0969e-01 l1_pixel_x4_opt: 4.4700e-02 edjes_pixel_x4_opt: 1.6885e-01 +2025-11-06 08:58:03,044 INFO: [41..][epoch: 0, step: 2,900, lr:(2.000e-04,)] [eta: 2 days, 4:39:54, time (data): 1.348 (0.000)] l1_pixel_x2_opt: 4.3518e-02 edjes_pixel_x2_opt: 1.7927e-01 l1_pixel_x4_opt: 6.5751e-02 edjes_pixel_x4_opt: 2.6241e-01 +2025-11-06 09:00:18,595 INFO: [41..][epoch: 0, step: 3,000, lr:(2.000e-04,)] [eta: 2 days, 4:23:57, time (data): 1.352 (0.000)] l1_pixel_x2_opt: 3.6099e-02 edjes_pixel_x2_opt: 1.5181e-01 l1_pixel_x4_opt: 5.6653e-02 edjes_pixel_x4_opt: 2.2772e-01 +2025-11-06 09:02:52,096 INFO: Validation val_x2 + # l1_latent: 1.3510 Best: 1.3950 @ 1000 iter + # pixel_psnr_pt: 32.0898 Best: 32.1045 @ 1000 iter + +2025-11-06 09:05:08,504 INFO: Validation val_x4 + # l1_latent: 1.5557 Best: 1.5557 @ 3000 iter + # l2_latent: 3.7872 Best: 3.7872 @ 3000 iter + # pixel_psnr_pt: 27.4188 Best: 27.4686 @ 1000 iter + +2025-11-06 09:07:23,707 INFO: [41..][epoch: 0, step: 3,100, lr:(2.000e-04,)] [eta: 2 days, 7:18:35, time (data): 1.352 (0.000)] l1_pixel_x2_opt: 3.3549e-02 edjes_pixel_x2_opt: 1.4008e-01 l1_pixel_x4_opt: 5.3994e-02 edjes_pixel_x4_opt: 2.1371e-01 +2025-11-06 09:09:39,232 INFO: [41..][epoch: 0, step: 3,200, lr:(2.000e-04,)] [eta: 2 days, 6:58:13, time (data): 1.354 (0.000)] l1_pixel_x2_opt: 4.0675e-02 edjes_pixel_x2_opt: 1.6958e-01 l1_pixel_x4_opt: 6.2071e-02 edjes_pixel_x4_opt: 2.5013e-01 +2025-11-06 09:11:54,704 INFO: [41..][epoch: 0, step: 3,300, lr:(2.000e-04,)] [eta: 2 days, 6:38:55, time (data): 1.353 (0.000)] l1_pixel_x2_opt: 3.1683e-02 edjes_pixel_x2_opt: 1.2869e-01 l1_pixel_x4_opt: 4.8240e-02 edjes_pixel_x4_opt: 1.8689e-01 +2025-11-06 09:14:09,776 INFO: [41..][epoch: 0, step: 3,400, lr:(2.000e-04,)] [eta: 2 days, 6:20:23, time (data): 1.352 (0.000)] l1_pixel_x2_opt: 3.3940e-02 edjes_pixel_x2_opt: 1.3900e-01 l1_pixel_x4_opt: 5.2850e-02 edjes_pixel_x4_opt: 2.0802e-01 +2025-11-06 09:16:25,041 INFO: [41..][epoch: 0, step: 3,500, lr:(2.000e-04,)] [eta: 2 days, 6:02:53, time (data): 1.351 (0.000)] l1_pixel_x2_opt: 4.0545e-02 edjes_pixel_x2_opt: 1.6595e-01 l1_pixel_x4_opt: 6.0739e-02 edjes_pixel_x4_opt: 2.4329e-01 +2025-11-06 09:18:41,512 INFO: [41..][epoch: 0, step: 3,600, lr:(2.000e-04,)] [eta: 2 days, 5:46:55, time (data): 1.359 (0.000)] l1_pixel_x2_opt: 3.2969e-02 edjes_pixel_x2_opt: 1.3197e-01 l1_pixel_x4_opt: 5.2312e-02 edjes_pixel_x4_opt: 1.9955e-01 +2025-11-06 09:20:57,273 INFO: [41..][epoch: 0, step: 3,700, lr:(2.000e-04,)] [eta: 2 days, 5:31:18, time (data): 1.355 (0.000)] l1_pixel_x2_opt: 3.5864e-02 edjes_pixel_x2_opt: 1.4607e-01 l1_pixel_x4_opt: 5.3094e-02 edjes_pixel_x4_opt: 2.1199e-01 +2025-11-06 09:23:14,858 INFO: [41..][epoch: 0, step: 3,800, lr:(2.000e-04,)] [eta: 2 days, 5:17:21, time (data): 1.366 (0.000)] l1_pixel_x2_opt: 3.2506e-02 edjes_pixel_x2_opt: 1.3061e-01 l1_pixel_x4_opt: 4.9310e-02 edjes_pixel_x4_opt: 1.8905e-01 +2025-11-06 09:25:30,866 INFO: [41..][epoch: 0, step: 3,900, lr:(2.000e-04,)] [eta: 2 days, 5:03:11, time (data): 1.359 (0.000)] l1_pixel_x2_opt: 4.2145e-02 edjes_pixel_x2_opt: 1.7252e-01 l1_pixel_x4_opt: 6.2880e-02 edjes_pixel_x4_opt: 2.5115e-01 +2025-11-06 09:27:46,862 INFO: [41..][epoch: 0, step: 4,000, lr:(2.000e-04,)] [eta: 2 days, 4:49:37, time (data): 1.359 (0.000)] l1_pixel_x2_opt: 3.9077e-02 edjes_pixel_x2_opt: 1.5396e-01 l1_pixel_x4_opt: 5.8913e-02 edjes_pixel_x4_opt: 2.2393e-01 +2025-11-06 09:30:19,801 INFO: Validation val_x2 + # l1_latent: 1.3441 Best: 1.3950 @ 1000 iter + # pixel_psnr_pt: 32.0905 Best: 32.1045 @ 1000 iter + +2025-11-06 09:32:40,703 INFO: Validation val_x4 + # l1_latent: 1.5541 Best: 1.5557 @ 3000 iter + # l2_latent: 3.7780 Best: 3.7872 @ 3000 iter + # pixel_psnr_pt: 27.4090 Best: 27.4686 @ 1000 iter + +2025-11-06 09:34:57,004 INFO: [41..][epoch: 0, step: 4,100, lr:(2.000e-04,)] [eta: 2 days, 7:01:07, time (data): 1.364 (0.000)] l1_pixel_x2_opt: 2.9563e-02 edjes_pixel_x2_opt: 1.1665e-01 l1_pixel_x4_opt: 4.8620e-02 edjes_pixel_x4_opt: 1.8208e-01 +2025-11-06 09:37:33,025 INFO: [41..][epoch: 0, step: 4,200, lr:(2.000e-04,)] [eta: 2 days, 6:54:39, time (data): 1.473 (0.000)] l1_pixel_x2_opt: 3.5951e-02 edjes_pixel_x2_opt: 1.5013e-01 l1_pixel_x4_opt: 5.4144e-02 edjes_pixel_x4_opt: 2.1886e-01 +2025-11-06 09:39:48,636 INFO: [41..][epoch: 0, step: 4,300, lr:(2.000e-04,)] [eta: 2 days, 6:38:48, time (data): 1.358 (0.000)] l1_pixel_x2_opt: 3.5199e-02 edjes_pixel_x2_opt: 1.4240e-01 l1_pixel_x4_opt: 5.4000e-02 edjes_pixel_x4_opt: 2.0959e-01 +2025-11-06 09:42:04,586 INFO: [41..][epoch: 0, step: 4,400, lr:(2.000e-04,)] [eta: 2 days, 6:23:44, time (data): 1.359 (0.000)] l1_pixel_x2_opt: 3.8980e-02 edjes_pixel_x2_opt: 1.5931e-01 l1_pixel_x4_opt: 6.1139e-02 edjes_pixel_x4_opt: 2.3890e-01 +2025-11-06 09:44:29,461 INFO: [41..][epoch: 0, step: 4,500, lr:(2.000e-04,)] [eta: 2 days, 6:13:13, time (data): 1.373 (0.000)] l1_pixel_x2_opt: 3.3040e-02 edjes_pixel_x2_opt: 1.3847e-01 l1_pixel_x4_opt: 5.2883e-02 edjes_pixel_x4_opt: 2.1242e-01 diff --git a/06_11_2025/42_archived_20251106_094651/train_42_20251106_091629.log b/06_11_2025/42_archived_20251106_094651/train_42_20251106_091629.log new file mode 100644 index 0000000000000000000000000000000000000000..fe0250d3b0686843bbb8bb8e721572b4e4d616b8 --- /dev/null +++ b/06_11_2025/42_archived_20251106_094651/train_42_20251106_091629.log @@ -0,0 +1,592 @@ +2025-11-06 09:16:29,077 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-06 09:16:29,078 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42 + models: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + char_pixel_x2_opt:[ + type: CharbonnierLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + char_pixel_x4_opt:[ + type: CharbonnierLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + ] + val:[ + val_freq: 1000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 42 + name: 42 + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-06 09:16:30,851 INFO: Use wandb logger with id=t9vhccxi; project=Swin2SR-Latent-SR. +2025-11-06 09:16:45,202 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-06 09:16:45,203 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 2 + Steps per epoch: 202438 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-11-06 09:16:45,206 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-06 09:16:45,207 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-06 09:16:45,339 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 09:16:46,503 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-06 09:16:46,504 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-06 09:16:46,558 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 09:16:46,583 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-06 09:16:46,584 INFO: Use EMA with decay: 0.999 +2025-11-06 09:16:46,699 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 09:16:46,762 INFO: Loading: params_ema does not exist, use params. +2025-11-06 09:16:46,763 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 09:16:46,786 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-06 09:16:46,788 INFO: Loss [CharbonnierLoss] is created. +2025-11-06 09:16:46,788 INFO: Initialized char_pixel_x2_opt in pixel space (w=1.0). +2025-11-06 09:16:46,789 INFO: Loss [Eagle_Loss] is created. +2025-11-06 09:16:46,790 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=0.001). +2025-11-06 09:16:46,791 INFO: Loss [CharbonnierLoss] is created. +2025-11-06 09:16:46,792 INFO: Initialized char_pixel_x4_opt in pixel space (w=1.0). +2025-11-06 09:16:46,792 INFO: Loss [Eagle_Loss] is created. +2025-11-06 09:16:46,793 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=0.001). +2025-11-06 09:16:46,795 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-06 09:16:46,796 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-06 09:16:46,796 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-06 09:18:08,983 INFO: Start training from epoch: 0, step: 0 +2025-11-06 09:18:12,079 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-06 09:20:38,898 INFO: [42..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 22:41:44, time (data): 1.499 (0.022)] char_pixel_x2_opt: 3.1184e-02 eagle_pixel_x2_opt: 3.4807e+00 char_pixel_x4_opt: 5.2086e-02 eagle_pixel_x4_opt: 5.3539e+00 +2025-11-06 09:22:55,045 INFO: [42..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 22:55:36, time (data): 1.430 (0.011)] char_pixel_x2_opt: 3.6339e-02 eagle_pixel_x2_opt: 3.7464e+00 char_pixel_x4_opt: 5.4112e-02 eagle_pixel_x4_opt: 4.8092e+00 +2025-11-06 09:25:11,824 INFO: [42..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 1 day, 23:03:05, time (data): 1.368 (0.000)] char_pixel_x2_opt: 3.8100e-02 eagle_pixel_x2_opt: 3.8553e+00 char_pixel_x4_opt: 5.9808e-02 eagle_pixel_x4_opt: 4.9865e+00 +2025-11-06 09:27:28,474 INFO: [42..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 1 day, 23:05:02, time (data): 1.367 (0.000)] char_pixel_x2_opt: 3.5809e-02 eagle_pixel_x2_opt: 3.8857e+00 char_pixel_x4_opt: 5.5160e-02 eagle_pixel_x4_opt: 5.0121e+00 +2025-11-06 09:29:45,203 INFO: [42..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 1 day, 23:05:38, time (data): 1.367 (0.000)] char_pixel_x2_opt: 3.4766e-02 eagle_pixel_x2_opt: 3.9343e+00 char_pixel_x4_opt: 5.3927e-02 eagle_pixel_x4_opt: 5.6559e+00 +2025-11-06 09:32:02,202 INFO: [42..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 1 day, 23:06:12, time (data): 1.369 (0.000)] char_pixel_x2_opt: 3.2185e-02 eagle_pixel_x2_opt: 3.7581e+00 char_pixel_x4_opt: 5.1270e-02 eagle_pixel_x4_opt: 5.5980e+00 +2025-11-06 09:34:18,708 INFO: [42..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 1 day, 23:04:30, time (data): 1.365 (0.000)] char_pixel_x2_opt: 3.1602e-02 eagle_pixel_x2_opt: 3.7317e+00 char_pixel_x4_opt: 5.2504e-02 eagle_pixel_x4_opt: 5.5041e+00 +2025-11-06 09:36:54,206 INFO: [42..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 1 day, 23:51:44, time (data): 1.461 (0.000)] char_pixel_x2_opt: 3.4845e-02 eagle_pixel_x2_opt: 4.4460e+00 char_pixel_x4_opt: 5.4257e-02 eagle_pixel_x4_opt: 6.2258e+00 +2025-11-06 09:39:10,830 INFO: [42..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 1 day, 23:44:35, time (data): 1.365 (0.000)] char_pixel_x2_opt: 3.8236e-02 eagle_pixel_x2_opt: 4.3565e+00 char_pixel_x4_opt: 5.9211e-02 eagle_pixel_x4_opt: 5.5855e+00 +2025-11-06 09:41:27,256 INFO: [42..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 1 day, 23:38:00, time (data): 1.365 (0.000)] char_pixel_x2_opt: 2.9073e-02 eagle_pixel_x2_opt: 3.7853e+00 char_pixel_x4_opt: 4.4889e-02 eagle_pixel_x4_opt: 5.7781e+00 +2025-11-06 09:44:01,894 INFO: Validation val_x2 + # l1_latent: 1.4281 Best: 1.4281 @ 1000 iter + # pixel_psnr_pt: 32.0870 Best: 32.0870 @ 1000 iter + diff --git a/06_11_2025/42_archived_20251106_094727/train_42_20251106_094651.log b/06_11_2025/42_archived_20251106_094727/train_42_20251106_094651.log new file mode 100644 index 0000000000000000000000000000000000000000..9e6357f47546efdafab4d2863ca2f380304818b4 --- /dev/null +++ b/06_11_2025/42_archived_20251106_094727/train_42_20251106_094651.log @@ -0,0 +1,576 @@ +2025-11-06 09:46:51,554 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-06 09:46:51,554 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42 + models: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/42/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + char_pixel_x2_opt:[ + type: CharbonnierLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + char_pixel_x4_opt:[ + type: CharbonnierLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + ] + val:[ + val_freq: 1000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + l1_latent:[ + type: L1Loss + space: latent + ] + l2_latent:[ + type: MSELoss + space: latent + ] + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 10 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 42 + name: 42 + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-06 09:46:53,293 INFO: Use wandb logger with id=c34tpk94; project=Swin2SR-Latent-SR. +2025-11-06 09:47:05,525 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-06 09:47:05,526 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 2 + Steps per epoch: 202438 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-11-06 09:47:05,530 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-06 09:47:05,530 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-06 09:47:05,660 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 09:47:06,778 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-06 09:47:06,779 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-06 09:47:06,829 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 09:47:06,851 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-06 09:47:06,852 INFO: Use EMA with decay: 0.999 +2025-11-06 09:47:06,964 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 09:47:07,028 INFO: Loading: params_ema does not exist, use params. +2025-11-06 09:47:07,029 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 09:47:07,048 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-06 09:47:07,050 INFO: Loss [CharbonnierLoss] is created. +2025-11-06 09:47:07,051 INFO: Initialized char_pixel_x2_opt in pixel space (w=1.0). +2025-11-06 09:47:07,052 INFO: Loss [Eagle_Loss] is created. +2025-11-06 09:47:07,053 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=0.001). +2025-11-06 09:47:07,053 INFO: Loss [CharbonnierLoss] is created. +2025-11-06 09:47:07,054 INFO: Initialized char_pixel_x4_opt in pixel space (w=1.0). +2025-11-06 09:47:07,055 INFO: Loss [Eagle_Loss] is created. +2025-11-06 09:47:07,056 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=0.001). +2025-11-06 09:47:07,059 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-06 09:47:07,059 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-06 09:47:07,060 INFO: Model [SwinIRLatentModelMultiHead] is created. diff --git a/06_11_2025/43/basicsr_options.yaml b/06_11_2025/43/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..022c2cc80a1de0687641337972563a401f8d2c7c --- /dev/null +++ b/06_11_2025/43/basicsr_options.yaml @@ -0,0 +1,271 @@ +# GENERATE TIME: Thu Nov 6 21:57:10 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: 4 +manual_seed: 0 +find_unused_parameters: false +channels_last: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + num_prefetch_queue: 2 + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 8 + num_worker_per_gpu: 3 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + ema_decay: 0.0 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0004 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.8 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 25000 + - 37500 + - 45000 + gamma: 0.5 + total_steps: 50000 + warmup_iter: -1 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + mse_pixel_x2_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + mse_pixel_x4_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + adversarial: + x2: + space: pixel + target: x2 + gan_opt: + type: GANLoss + gan_type: hinge + loss_weight: 0.005 + network: + type: UNetDiscriminatorSN + num_in_ch: 3 + num_feat: 64 + skip_connection: true + optim: + type: Adam + lr: 0.0003 + betas: + - 0.9 + - 0.99 + net_d_iters: 1 + net_d_init_iters: 0 + x4: + space: pixel + target: x4 + gan_opt: + type: GANLoss + gan_type: hinge + loss_weight: 0.005 + network: + type: UNetDiscriminatorSN + num_in_ch: 3 + num_feat: 64 + skip_connection: true + optim: + type: Adam + lr: 0.0003 + betas: + - 0.9 + - 0.99 + net_d_iters: 1 + net_d_init_iters: 0 +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '43' +name: '43' diff --git a/06_11_2025/43_archived_20251106_131616/basicsr_options.yaml b/06_11_2025/43_archived_20251106_131616/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..9c9c2bf1df987fa924436cecbd21bd3a182068fe --- /dev/null +++ b/06_11_2025/43_archived_20251106_131616/basicsr_options.yaml @@ -0,0 +1,222 @@ +# GENERATE TIME: Thu Nov 6 13:08:18 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025 +compile: + enabled: true + mode: reduce-overhead + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + mse_pixel_x2_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + mse_pixel_x4_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 +val: + val_freq: 1000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + pixel_ssim_pt: + type: calculate_ssim_pt + space: pixel + crop_border: 2 + test_y_channel: false + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + pixel_ssim_pt: + type: calculate_ssim_pt + space: pixel + crop_border: 2 + test_y_channel: false + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '43' +name: '43' diff --git a/06_11_2025/43_archived_20251106_135903/basicsr_options.yaml b/06_11_2025/43_archived_20251106_135903/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..195bd59e56d285c3dae9a4fca1f860af82bf32cd --- /dev/null +++ b/06_11_2025/43_archived_20251106_135903/basicsr_options.yaml @@ -0,0 +1,222 @@ +# GENERATE TIME: Thu Nov 6 13:16:16 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + mse_pixel_x2_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + mse_pixel_x4_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 +val: + val_freq: 1000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + pixel_ssim_pt: + type: calculate_ssim_pt + space: pixel + crop_border: 2 + test_y_channel: false + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + pixel_ssim_pt: + type: calculate_ssim_pt + space: pixel + crop_border: 2 + test_y_channel: false + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '43' +name: '43' diff --git a/06_11_2025/43_archived_20251106_145939/basicsr_options.yaml b/06_11_2025/43_archived_20251106_145939/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..eee9c6bc8a229ae97cc25e6156ff0244b48280a1 --- /dev/null +++ b/06_11_2025/43_archived_20251106_145939/basicsr_options.yaml @@ -0,0 +1,212 @@ +# GENERATE TIME: Thu Nov 6 13:59:03 2025 +# CMD: +# train_vae.py -opt /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/basicsr_options.yaml --launcher pytorch --local_rank 0 + +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: true + persistent_workers: true + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 180 + num_heads: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025 +compile: + enabled: true + mode: auto + dynamic: true + fullgraph: false + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + mse_pixel_x2_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + mse_pixel_x4_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 +val: + val_freq: 1000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '43' +name: '43' diff --git a/06_11_2025/43_archived_20251106_145939/train_43_20251106_135903.log b/06_11_2025/43_archived_20251106_145939/train_43_20251106_135903.log new file mode 100644 index 0000000000000000000000000000000000000000..4ccbebece5913b292aa0d6e67e10892f6df5a2c7 --- /dev/null +++ b/06_11_2025/43_archived_20251106_145939/train_43_20251106_135903.log @@ -0,0 +1,600 @@ +2025-11-06 13:59:03,544 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-06 13:59:03,544 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 12 + pin_memory: True + persistent_workers: True + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/05_11_2025/40/models/net_g_10000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43 + models: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43/visualization + ] + compile:[ + enabled: True + mode: auto + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.999 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + mse_pixel_x2_opt:[ + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + mse_pixel_x4_opt:[ + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + ] + val:[ + val_freq: 1000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 43 + name: 43 + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-06 13:59:05,153 INFO: Use wandb logger with id=o362bhhf; project=Swin2SR-Latent-SR. +2025-11-06 13:59:17,192 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-06 13:59:17,193 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 12 + World size (gpu number): 2 + Steps per epoch: 202438 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-11-06 13:59:17,197 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-06 13:59:17,197 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-06 13:59:17,329 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 13:59:18,301 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-06 13:59:18,302 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-06 13:59:18,350 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 13:59:18,372 WARNING: torch.compile failed for net_g; running in eager mode. Unrecognized mode=auto, should be one of: default, reduce-overhead, max-autotune-no-cudagraphs, max-autotune +2025-11-06 13:59:18,373 INFO: Use EMA with decay: 0.999 +2025-11-06 13:59:18,484 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 13:59:18,543 INFO: Loading: params_ema does not exist, use params. +2025-11-06 13:59:18,544 INFO: Loading SwinIRMultiHead from runs/05_11_2025/40/models/net_g_10000.pth [key=params]. +2025-11-06 13:59:18,564 INFO: Torch.compile disabled for EMA network; validation runs in eager mode. +2025-11-06 13:59:18,566 INFO: Loss [MSELoss] is created. +2025-11-06 13:59:18,566 INFO: Initialized mse_pixel_x2_opt in pixel space (w=1.0). +2025-11-06 13:59:18,567 INFO: Loss [Eagle_Loss] is created. +2025-11-06 13:59:18,569 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=0.001). +2025-11-06 13:59:18,570 INFO: Loss [MSELoss] is created. +2025-11-06 13:59:18,570 INFO: Initialized mse_pixel_x4_opt in pixel space (w=1.0). +2025-11-06 13:59:18,572 INFO: Loss [Eagle_Loss] is created. +2025-11-06 13:59:18,573 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=0.001). +2025-11-06 13:59:18,575 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-06 13:59:18,575 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-06 13:59:18,576 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-06 14:00:33,081 INFO: Start training from epoch: 0, step: 0 +2025-11-06 14:00:35,299 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-06 14:02:58,989 INFO: [43..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 21:45:34, time (data): 1.459 (0.014)] mse_pixel_x2_opt: 4.2481e-03 eagle_pixel_x2_opt: 3.6227e+00 mse_pixel_x4_opt: 1.1892e-02 eagle_pixel_x4_opt: 5.6296e+00 +2025-11-06 14:05:13,475 INFO: [43..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 22:10:11, time (data): 1.402 (0.007)] mse_pixel_x2_opt: 5.3573e-03 eagle_pixel_x2_opt: 3.7418e+00 mse_pixel_x4_opt: 1.1225e-02 eagle_pixel_x4_opt: 4.8321e+00 +2025-11-06 14:07:28,025 INFO: [43..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 1 day, 22:17:24, time (data): 1.345 (0.000)] mse_pixel_x2_opt: 5.7630e-03 eagle_pixel_x2_opt: 3.8216e+00 mse_pixel_x4_opt: 1.3155e-02 eagle_pixel_x4_opt: 4.9731e+00 +2025-11-06 14:09:42,701 INFO: [43..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 1 day, 22:20:33, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 5.1870e-03 eagle_pixel_x2_opt: 3.8931e+00 mse_pixel_x4_opt: 1.1852e-02 eagle_pixel_x4_opt: 4.9615e+00 +2025-11-06 14:11:57,200 INFO: [43..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 1 day, 22:20:49, time (data): 1.345 (0.000)] mse_pixel_x2_opt: 5.0803e-03 eagle_pixel_x2_opt: 3.9140e+00 mse_pixel_x4_opt: 1.2036e-02 eagle_pixel_x4_opt: 5.4902e+00 +2025-11-06 14:14:11,709 INFO: [43..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 1 day, 22:20:17, time (data): 1.345 (0.000)] mse_pixel_x2_opt: 4.5073e-03 eagle_pixel_x2_opt: 3.7775e+00 mse_pixel_x4_opt: 1.1289e-02 eagle_pixel_x4_opt: 5.4852e+00 +2025-11-06 14:16:26,511 INFO: [43..][epoch: 0, step: 700, lr:(2.000e-04,)] [eta: 1 day, 22:20:08, time (data): 1.348 (0.000)] mse_pixel_x2_opt: 4.4563e-03 eagle_pixel_x2_opt: 3.7287e+00 mse_pixel_x4_opt: 1.2191e-02 eagle_pixel_x4_opt: 5.6005e+00 +2025-11-06 14:18:40,988 INFO: [43..][epoch: 0, step: 800, lr:(2.000e-04,)] [eta: 1 day, 22:18:36, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 5.5544e-03 eagle_pixel_x2_opt: 4.4091e+00 mse_pixel_x4_opt: 1.2579e-02 eagle_pixel_x4_opt: 6.1981e+00 +2025-11-06 14:20:55,606 INFO: [43..][epoch: 0, step: 900, lr:(2.000e-04,)] [eta: 1 day, 22:17:15, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 5.8406e-03 eagle_pixel_x2_opt: 4.3104e+00 mse_pixel_x4_opt: 1.2948e-02 eagle_pixel_x4_opt: 5.6376e+00 +2025-11-06 14:23:10,203 INFO: [43..][epoch: 0, step: 1,000, lr:(2.000e-04,)] [eta: 1 day, 22:15:41, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 3.8893e-03 eagle_pixel_x2_opt: 3.8699e+00 mse_pixel_x4_opt: 9.5467e-03 eagle_pixel_x4_opt: 5.7952e+00 +2025-11-06 14:25:21,710 INFO: Validation val_x2 + # pixel_psnr_pt: 32.0667 Best: 32.0667 @ 1000 iter + +2025-11-06 14:27:30,241 INFO: Validation val_x4 + # pixel_psnr_pt: 27.4585 Best: 27.4585 @ 1000 iter + +2025-11-06 14:29:45,106 INFO: [43..][epoch: 0, step: 1,100, lr:(2.000e-04,)] [eta: 2 days, 6:22:12, time (data): 1.348 (0.000)] mse_pixel_x2_opt: 6.4529e-03 eagle_pixel_x2_opt: 4.7323e+00 mse_pixel_x4_opt: 1.5064e-02 eagle_pixel_x4_opt: 6.5974e+00 +2025-11-06 14:31:59,676 INFO: [43..][epoch: 0, step: 1,200, lr:(2.000e-04,)] [eta: 2 days, 5:39:21, time (data): 1.347 (0.000)] mse_pixel_x2_opt: 5.3822e-03 eagle_pixel_x2_opt: 3.6255e+00 mse_pixel_x4_opt: 1.0687e-02 eagle_pixel_x4_opt: 4.9431e+00 +2025-11-06 14:34:14,401 INFO: [43..][epoch: 0, step: 1,300, lr:(2.000e-04,)] [eta: 2 days, 5:02:59, time (data): 1.347 (0.000)] mse_pixel_x2_opt: 4.8648e-03 eagle_pixel_x2_opt: 3.7186e+00 mse_pixel_x4_opt: 1.2236e-02 eagle_pixel_x4_opt: 4.9714e+00 +2025-11-06 14:36:29,106 INFO: [43..][epoch: 0, step: 1,400, lr:(2.000e-04,)] [eta: 2 days, 4:31:28, time (data): 1.347 (0.000)] mse_pixel_x2_opt: 4.3012e-03 eagle_pixel_x2_opt: 3.1059e+00 mse_pixel_x4_opt: 9.0505e-03 eagle_pixel_x4_opt: 3.9381e+00 +2025-11-06 14:38:43,747 INFO: [43..][epoch: 0, step: 1,500, lr:(2.000e-04,)] [eta: 2 days, 4:03:46, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 6.3577e-03 eagle_pixel_x2_opt: 4.6056e+00 mse_pixel_x4_opt: 1.4084e-02 eagle_pixel_x4_opt: 6.2391e+00 +2025-11-06 14:40:58,354 INFO: [43..][epoch: 0, step: 1,600, lr:(2.000e-04,)] [eta: 2 days, 3:39:12, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 6.1140e-03 eagle_pixel_x2_opt: 4.5310e+00 mse_pixel_x4_opt: 1.3911e-02 eagle_pixel_x4_opt: 6.1452e+00 +2025-11-06 14:43:13,033 INFO: [43..][epoch: 0, step: 1,700, lr:(2.000e-04,)] [eta: 2 days, 3:17:20, time (data): 1.347 (0.000)] mse_pixel_x2_opt: 6.5893e-03 eagle_pixel_x2_opt: 3.9987e+00 mse_pixel_x4_opt: 1.1144e-02 eagle_pixel_x4_opt: 5.1794e+00 +2025-11-06 14:45:27,667 INFO: [43..][epoch: 0, step: 1,800, lr:(2.000e-04,)] [eta: 2 days, 2:57:37, time (data): 1.347 (0.000)] mse_pixel_x2_opt: 6.9021e-03 eagle_pixel_x2_opt: 5.1803e+00 mse_pixel_x4_opt: 1.6197e-02 eagle_pixel_x4_opt: 7.1275e+00 +2025-11-06 14:47:42,303 INFO: [43..][epoch: 0, step: 1,900, lr:(2.000e-04,)] [eta: 2 days, 2:39:43, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 5.0821e-03 eagle_pixel_x2_opt: 3.7278e+00 mse_pixel_x4_opt: 1.1279e-02 eagle_pixel_x4_opt: 5.3356e+00 +2025-11-06 14:49:56,870 INFO: [43..][epoch: 0, step: 2,000, lr:(2.000e-04,)] [eta: 2 days, 2:23:20, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 4.1388e-03 eagle_pixel_x2_opt: 3.4260e+00 mse_pixel_x4_opt: 9.8793e-03 eagle_pixel_x4_opt: 4.8948e+00 +2025-11-06 14:52:01,938 INFO: Validation val_x2 + # pixel_psnr_pt: 32.0561 Best: 32.0667 @ 1000 iter + +2025-11-06 14:54:08,075 INFO: Validation val_x4 + # pixel_psnr_pt: 27.4074 Best: 27.4585 @ 1000 iter + +2025-11-06 14:56:22,733 INFO: [43..][epoch: 0, step: 2,100, lr:(2.000e-04,)] [eta: 2 days, 6:13:16, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 4.6935e-03 eagle_pixel_x2_opt: 3.6832e+00 mse_pixel_x4_opt: 1.0043e-02 eagle_pixel_x4_opt: 5.1594e+00 +2025-11-06 14:58:37,376 INFO: [43..][epoch: 0, step: 2,200, lr:(2.000e-04,)] [eta: 2 days, 5:48:08, time (data): 1.346 (0.000)] mse_pixel_x2_opt: 5.1250e-03 eagle_pixel_x2_opt: 4.9156e+00 mse_pixel_x4_opt: 1.2947e-02 eagle_pixel_x4_opt: 7.1199e+00 diff --git a/06_11_2025/43_archived_20251106_180305/train_43_20251106_175006.log b/06_11_2025/43_archived_20251106_180305/train_43_20251106_175006.log new file mode 100644 index 0000000000000000000000000000000000000000..a3072550ca01b4a5e35aa1674d2a870cd41f863e --- /dev/null +++ b/06_11_2025/43_archived_20251106_180305/train_43_20251106_175006.log @@ -0,0 +1,1345 @@ +2025-11-06 17:50:06,323 INFO: + ____ _ _____ ____ + / __ ) ____ _ _____ (_)_____/ ___/ / __ \ + / __ |/ __ `// ___// // ___/\__ \ / /_/ / + / /_/ // /_/ /(__ )/ // /__ ___/ // _, _/ + /_____/ \__,_//____//_/ \___//____//_/ |_| + ______ __ __ __ __ + / ____/____ ____ ____/ / / / __ __ _____ / /__ / / + / / __ / __ \ / __ \ / __ / / / / / / // ___// //_/ / / + / /_/ // /_/ // /_/ // /_/ / / /___/ /_/ // /__ / /< /_/ + \____/ \____/ \____/ \____/ /_____/\____/ \___//_/|_| (_) + +Version Information: + BasicSR: 1.4.2 + PyTorch: 2.9.0+cu129 + TorchVision: 0.24.0+cpu +2025-11-06 17:50:06,323 INFO: + model_type: SwinIRLatentModelMultiHead + primary_head: x4 + scale: 4 + num_gpu: 2 + manual_seed: 0 + find_unused_parameters: True + channels_last: True + precision:[ + train: bf16 + eval: fp32 + ] + vae_sources:[ + flux_vae:[ + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + ] + ] + datasets:[ + train:[ + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: [128, 256, 512] + cache_dirs: ['/data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae', '/data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: train + filename_tmpl: {} + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: True + persistent_workers: True + prefetch_mode: cuda + num_prefetch_queue: 2 + latent_dtype: bf16 + ] + val:[ + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: [256, 512, 1024] + cache_dirs: ['/data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae'] + vae_names: ['flux_vae'] + phase: val + io_backend:[ + type: disk + ] + scale: 4 + mean: None + std: None + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: True + latent_dtype: bf16 + ] + ] + network_g:[ + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 8 + img_range: 1.0 + depths: [6, 6, 6, 6, 6, 6] + embed_dim: 180 + num_heads: [6, 6, 6, 6, 6, 6] + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 128 + heads: [OrderedDict({'name': 'x2', 'scale': 2, 'out_chans': 16}), OrderedDict({'name': 'x4', 'scale': 4, 'out_chans': 16, 'primary': True})] + ] + path:[ + pretrain_network_g: runs/04_11_2025/39/models/net_g_45000.pth + strict_load_g: True + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43 + models: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43/models + training_states: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43/training_states + log: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43 + visualization: /data/kazanplova/latent_vae_upscale_train/runs/06_11_2025/43/visualization + ] + compile:[ + enabled: True + mode: reduce-overhead + dynamic: True + fullgraph: False + backend: inductor + ] + train:[ + ema_decay: 0.0 + head_inputs:[ + x2:[ + lq: 256 + gt: 512 + ] + x4:[ + lq: 128 + gt: 512 + ] + ] + optim_g:[ + type: Adam + lr: 0.0002 + weight_decay: 0 + betas: [0.9, 0.99] + ] + grad_clip:[ + enabled: True + generator:[ + type: norm + max_norm: 0.4 + norm_type: 2.0 + ] + ] + scheduler:[ + type: MultiStepLR + milestones: [62500, 93750, 112500] + gamma: 0.5 + ] + total_steps: 125000 + warmup_iter: -1 + l1_pixel_x2_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + l1_pixel_x4_opt:[ + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + mse_pixel_x2_opt:[ + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + ] + eagle_pixel_x2_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + ] + mse_pixel_x4_opt:[ + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + ] + eagle_pixel_x4_opt:[ + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + ] + adversarial:[ + x2:[ + space: pixel + target: x2 + gan_opt:[ + type: GANLoss + gan_type: hinge + loss_weight: 0.005 + ] + network:[ + type: UNetDiscriminatorSN + num_in_ch: 3 + num_feat: 64 + skip_connection: True + ] + optim:[ + type: Adam + lr: 0.0001 + betas: [0.9, 0.99] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + x4:[ + space: pixel + target: x4 + gan_opt:[ + type: GANLoss + gan_type: hinge + loss_weight: 0.005 + ] + network:[ + type: UNetDiscriminatorSN + num_in_ch: 3 + num_feat: 64 + skip_connection: True + ] + optim:[ + type: Adam + lr: 0.0001 + betas: [0.9, 0.99] + ] + net_d_iters: 1 + net_d_init_iters: 0 + ] + ] + ] + val:[ + val_freq: 1000 + save_img: True + head_evals:[ + x2:[ + save_img: True + label: val_x2 + val_sizes:[ + lq: 512 + gt: 1024 + ] + metrics:[ + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + x4:[ + save_img: True + label: val_x4 + val_sizes:[ + lq: 256 + gt: 1024 + ] + metrics:[ + pixel_psnr_pt:[ + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: False + ] + ] + ] + ] + ] + logger:[ + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: True + wandb:[ + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: None + max_val_images: 3 + ] + ] + dist_params:[ + backend: nccl + port: 29500 + dist: True + ] + load_networks_only: False + exp_name: 43 + name: 43 + dist: True + rank: 0 + world_size: 2 + auto_resume: False + is_train: True + root_path: /data/kazanplova/latent_vae_upscale_train + +2025-11-06 17:50:08,219 INFO: Use wandb logger with id=6yk2vy5f; project=Swin2SR-Latent-SR. +2025-11-06 17:50:19,829 INFO: Dataset [MultiScaleLatentCacheDataset] - gpt4_nanobana_midjourney_recraft_CropsFluxVAE is built. +2025-11-06 17:50:19,830 INFO: Training statistics: + Number of train images: 4858507 + Dataset enlarge ratio: 1 + Batch size per gpu: 8 + World size (gpu number): 2 + Steps per epoch: 303657 + Configured training steps: 125000 + Approximate epochs to cover: 1. +2025-11-06 17:50:19,833 INFO: Dataset [MultiScaleLatentCacheDataset] - sdxk_120_1024x1024 is built. +2025-11-06 17:50:19,834 INFO: Number of val images/folders in sdxk_120_1024x1024: 153 +2025-11-06 17:50:19,963 INFO: Network [SwinIRMultiHead] is created. +2025-11-06 17:50:21,049 INFO: Network: DistributedDataParallel - SwinIRMultiHead, with parameters: 13,743,240 +2025-11-06 17:50:21,050 INFO: SwinIRMultiHead( + (conv_first): Conv2d(16, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed( + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + ) + (patch_unembed): PatchUnEmbed() + (pos_drop): Dropout(p=0.0, inplace=False) + (layers): ModuleList( + (0): RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): Identity() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + (1-5): 5 x RSTB( + (residual_group): BasicLayer( + dim=180, input_resolution=(32, 32), depth=6 + (blocks): ModuleList( + (0): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (1): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (2): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (3): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (4): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=0, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + (5): SwinTransformerBlock( + dim=180, input_resolution=(32, 32), num_heads=6, window_size=8, shift_size=4, mlp_ratio=2.0 + (norm1): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (attn): WindowAttention( + dim=180, window_size=(8, 8), num_heads=6 + (qkv): Linear(in_features=180, out_features=540, bias=True) + (attn_drop): Dropout(p=0.0, inplace=False) + (proj): Linear(in_features=180, out_features=180, bias=True) + (proj_drop): Dropout(p=0.0, inplace=False) + (softmax): Softmax(dim=-1) + ) + (drop_path): DropPath() + (norm2): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (mlp): Mlp( + (fc1): Linear(in_features=180, out_features=360, bias=True) + (act): GELU(approximate='none') + (fc2): Linear(in_features=360, out_features=180, bias=True) + (drop): Dropout(p=0.0, inplace=False) + ) + ) + ) + ) + (conv): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (patch_embed): PatchEmbed() + (patch_unembed): PatchUnEmbed() + ) + ) + (norm): LayerNorm((180,), eps=1e-05, elementwise_affine=True) + (conv_after_body): Conv2d(180, 180, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (heads): ModuleDict( + (x2): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + (x4): _SwinIRPixelShuffleHead( + (conv_before): Sequential( + (0): Conv2d(180, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): LeakyReLU(negative_slope=0.01, inplace=True) + ) + (upsample): Upsample( + (0): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (1): PixelShuffle(upscale_factor=2) + (2): Conv2d(128, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (3): PixelShuffle(upscale_factor=2) + ) + (conv_last): Conv2d(128, 16, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + ) + ) +) +2025-11-06 17:50:21,110 INFO: Loading SwinIRMultiHead from runs/04_11_2025/39/models/net_g_45000.pth [key=params]. +2025-11-06 17:50:21,156 INFO: Loss [L1Loss] is created. +2025-11-06 17:50:21,157 INFO: Initialized l1_pixel_x2_opt in pixel space (w=1.0). +2025-11-06 17:50:21,158 INFO: Loss [L1Loss] is created. +2025-11-06 17:50:21,159 INFO: Initialized l1_pixel_x4_opt in pixel space (w=1.0). +2025-11-06 17:50:21,161 INFO: Loss [MSELoss] is created. +2025-11-06 17:50:21,161 INFO: Initialized mse_pixel_x2_opt in pixel space (w=1.0). +2025-11-06 17:50:21,163 INFO: Loss [Eagle_Loss] is created. +2025-11-06 17:50:21,164 INFO: Initialized eagle_pixel_x2_opt in pixel space (w=0.001). +2025-11-06 17:50:21,165 INFO: Loss [MSELoss] is created. +2025-11-06 17:50:21,165 INFO: Initialized mse_pixel_x4_opt in pixel space (w=1.0). +2025-11-06 17:50:21,166 INFO: Loss [Eagle_Loss] is created. +2025-11-06 17:50:21,167 INFO: Initialized eagle_pixel_x4_opt in pixel space (w=0.001). +2025-11-06 17:50:21,182 INFO: Network [UNetDiscriminatorSN] is created. +2025-11-06 17:50:21,186 INFO: Network: DistributedDataParallel - UNetDiscriminatorSN, with parameters: 4,376,897 +2025-11-06 17:50:21,186 INFO: UNetDiscriminatorSN( + (conv0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv1): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv2): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv3): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv4): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv5): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv6): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv7): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv8): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv9): Conv2d(64, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-11-06 17:50:21,187 INFO: Loss [GANLoss] is created. +2025-11-06 17:50:21,203 INFO: Network [UNetDiscriminatorSN] is created. +2025-11-06 17:50:21,207 INFO: Network: DistributedDataParallel - UNetDiscriminatorSN, with parameters: 4,376,897 +2025-11-06 17:50:21,208 INFO: UNetDiscriminatorSN( + (conv0): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) + (conv1): Conv2d(64, 128, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv2): Conv2d(128, 256, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv3): Conv2d(256, 512, kernel_size=(4, 4), stride=(2, 2), padding=(1, 1), bias=False) + (conv4): Conv2d(512, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv5): Conv2d(256, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv6): Conv2d(128, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv7): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv8): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) + (conv9): Conv2d(64, 1, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) +) +2025-11-06 17:50:21,209 INFO: Loss [GANLoss] is created. +2025-11-06 17:50:21,211 INFO: Precision configuration — train: bf16, eval: fp32 +2025-11-06 17:50:21,211 INFO: Gradient clipping enabled (G:norm(max_norm=0.4, norm_type=2.0)). +2025-11-06 17:50:21,212 INFO: Model [SwinIRLatentModelMultiHead] is created. +2025-11-06 17:51:38,256 INFO: Use cuda prefetch dataloader +2025-11-06 17:51:38,258 INFO: Start training from epoch: 0, step: 0 +2025-11-06 17:51:39,583 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:30,963 INFO: Loading VAE(name=flux_vae, kind=kl) from wolfgangblack/flux_vae +2025-11-06 17:52:40,528 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:42,921 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:43,832 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:44,734 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:45,633 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:46,529 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:47,433 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:48,331 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:49,239 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:50,136 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:51,032 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:51,929 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:52,826 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:53,722 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:54,619 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:55,515 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:56,410 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:57,307 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:58,204 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:52:59,103 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:00,003 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:00,898 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:01,796 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:02,693 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:03,588 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:04,485 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:05,381 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:06,278 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:07,174 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:08,071 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:08,968 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:09,862 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:10,756 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:11,651 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:12,548 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:13,446 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:14,345 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:15,248 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:16,146 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:17,042 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:17,938 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:18,837 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:19,740 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:20,636 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:21,538 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:22,442 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:23,346 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:24,250 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:25,146 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:26,043 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:26,939 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:27,836 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:28,733 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:29,629 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:30,525 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:31,423 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:32,320 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:33,214 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:34,115 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:35,009 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:35,907 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:36,805 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:37,701 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:38,598 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:39,499 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:40,399 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:41,302 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:42,201 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:43,104 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:44,009 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:44,908 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:45,804 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:46,702 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:47,601 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:48,500 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:49,404 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:50,308 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:51,205 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:52,103 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:53,002 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:53,901 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:54,796 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:55,695 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:56,591 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:57,487 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:58,386 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:53:59,281 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:00,180 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:01,077 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:01,973 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:02,870 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:03,766 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:04,664 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:05,563 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:06,458 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:07,358 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:08,253 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:09,148 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:10,043 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:10,945 INFO: [43..][epoch: 0, step: 100, lr:(2.000e-04,)] [eta: 1 day, 7:03:23, time (data): 1.527 (0.014)] l1_pixel_x2_opt: 6.1188e-02 l1_pixel_x4_opt: 5.6162e-02 mse_pixel_x2_opt: 1.1552e-02 eagle_pixel_x2_opt: 6.9036e+00 mse_pixel_x4_opt: 1.1729e-02 eagle_pixel_x4_opt: 7.4742e+00 l_g_gan_x2: 4.4403e-03 l_g_gan_x4: 2.3956e-03 l_d_real_x2: 1.2383e+00 out_d_real_x2: 7.7148e-02 l_d_fake_x2: 1.7969e-01 out_d_fake_x2: -8.8867e-01 l_d_real_x4: 1.1172e+00 out_d_real_x4: 1.4429e-01 l_d_fake_x4: 5.3027e-01 out_d_fake_x4: -4.7949e-01 +2025-11-06 17:54:10,947 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:11,841 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:12,740 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:13,636 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:14,529 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:15,425 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:16,320 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:17,215 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:18,112 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:19,010 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:19,906 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:20,799 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:21,694 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:22,588 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:23,486 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:24,382 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:25,277 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:26,171 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:27,066 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:27,962 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:28,858 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:29,753 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:30,650 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:31,547 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:32,446 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:33,342 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:34,236 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:35,133 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:36,028 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:36,923 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:37,820 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:38,716 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:39,610 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:40,505 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:41,403 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:42,299 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:43,192 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:44,087 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:44,984 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:45,884 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:46,781 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:47,676 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:48,575 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:49,473 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:50,370 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:51,267 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:52,163 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:53,062 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:53,961 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:54,857 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:55,752 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:56,647 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:57,544 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:58,441 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:54:59,339 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:00,236 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:01,150 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:02,075 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:02,976 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:03,873 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:04,769 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:05,666 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:06,563 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:07,461 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:08,358 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:09,254 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:10,152 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:11,049 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:11,946 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:12,843 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:13,739 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:14,636 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:15,533 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:16,428 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:17,323 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:18,220 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:19,118 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:20,012 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:20,908 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:21,805 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:22,703 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:23,601 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:24,495 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:25,392 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:26,285 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:27,183 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:28,079 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:28,975 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:29,871 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:30,766 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:31,663 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:32,560 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:33,456 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:34,354 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:35,249 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:36,146 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:37,042 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:37,938 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:38,833 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:39,728 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:40,630 INFO: [43..][epoch: 0, step: 200, lr:(2.000e-04,)] [eta: 1 day, 7:03:40, time (data): 1.212 (0.007)] l1_pixel_x2_opt: 6.6093e-02 l1_pixel_x4_opt: 6.3122e-02 mse_pixel_x2_opt: 1.3374e-02 eagle_pixel_x2_opt: 7.0079e+00 mse_pixel_x4_opt: 1.5951e-02 eagle_pixel_x4_opt: 8.1548e+00 l_g_gan_x2: 2.2278e-03 l_g_gan_x4: 1.0033e-03 l_d_real_x2: 7.6758e-01 out_d_real_x2: 1.0547e+00 l_d_fake_x2: 5.5469e-01 out_d_fake_x2: -4.4629e-01 l_d_real_x4: 7.9688e-01 out_d_real_x4: 6.5820e-01 l_d_fake_x4: 7.9883e-01 out_d_fake_x4: -2.0117e-01 +2025-11-06 17:55:40,631 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:41,529 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:42,426 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:43,325 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:44,220 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:45,115 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:46,011 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:46,909 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:47,805 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:48,713 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:49,615 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:50,511 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:51,409 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:52,304 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:53,200 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:54,097 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:54,995 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:55,893 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:56,789 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:57,685 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:58,581 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:55:59,483 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:00,397 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:01,311 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:02,225 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:03,139 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:04,052 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:04,965 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:05,877 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:06,788 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:07,701 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:08,612 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:09,524 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:10,435 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:11,347 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:12,262 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:13,173 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:14,086 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:14,996 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:15,908 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:16,819 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:17,732 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:18,646 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:19,557 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:20,468 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:21,380 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:22,291 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:23,206 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:24,119 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:25,032 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:25,944 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:26,856 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:27,766 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:28,679 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:29,589 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:30,499 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:31,413 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:32,327 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:33,243 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:34,154 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:35,067 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:35,978 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:36,891 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:37,804 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:38,718 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:39,630 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:40,543 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:41,458 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:42,370 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:43,282 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:44,197 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:45,112 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:46,028 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:46,942 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:47,855 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:48,769 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:49,682 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:50,596 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:51,512 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:52,429 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:53,342 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:54,255 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:55,168 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:56,081 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:56,995 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:57,910 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:58,825 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:56:59,740 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:00,656 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:01,570 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:02,485 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:03,402 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:04,315 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:05,229 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:06,140 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:07,055 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:07,968 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:08,884 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:09,799 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:10,714 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:11,634 INFO: [43..][epoch: 0, step: 300, lr:(2.000e-04,)] [eta: 1 day, 7:11:52, time (data): 0.910 (0.000)] l1_pixel_x2_opt: 6.5601e-02 l1_pixel_x4_opt: 6.1791e-02 mse_pixel_x2_opt: 1.3815e-02 eagle_pixel_x2_opt: 5.9026e+00 mse_pixel_x4_opt: 1.3207e-02 eagle_pixel_x4_opt: 5.1258e+00 l_g_gan_x2: 4.4250e-03 l_g_gan_x4: 4.6844e-03 l_d_real_x2: 1.0488e+00 out_d_real_x2: 2.9218e-01 l_d_fake_x2: 1.6992e-01 out_d_fake_x2: -8.8672e-01 l_d_real_x4: 1.3398e+00 out_d_real_x4: -7.8613e-02 l_d_fake_x4: 9.4971e-02 out_d_fake_x4: -9.3555e-01 +2025-11-06 17:57:11,636 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:12,549 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:13,462 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:14,375 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:15,289 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:16,202 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:17,118 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:18,033 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:18,947 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:19,863 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:20,777 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:21,690 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:22,607 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:23,522 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:24,436 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:25,348 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:26,261 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:27,173 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:28,086 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:28,998 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:29,910 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:30,822 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:31,734 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:32,652 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:33,565 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:34,478 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:35,390 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:36,304 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:37,218 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:38,131 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:39,045 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:39,959 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:40,871 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:41,783 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:42,696 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:43,611 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:44,522 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:45,433 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:46,347 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:47,260 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:48,173 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:49,085 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:49,984 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:50,879 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:51,777 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:52,675 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:53,571 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:54,466 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:55,363 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:56,259 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:57,155 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:58,052 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:58,951 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:57:59,848 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:00,745 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:01,641 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:02,539 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:03,434 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:04,331 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:05,227 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:06,125 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:07,020 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:07,918 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:08,815 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:09,713 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:10,611 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:11,509 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:12,408 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:13,305 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:14,204 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:15,103 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:16,001 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:16,900 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:17,796 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:18,695 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:19,592 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:20,491 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:21,387 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:22,284 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:23,181 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:24,077 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:24,972 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:25,868 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:26,766 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:27,660 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:28,557 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:29,454 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:30,349 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:31,248 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:32,148 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:33,043 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:33,940 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:34,838 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:35,733 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:36,628 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:37,528 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:38,425 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:39,321 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:40,219 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:41,114 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:42,017 INFO: [43..][epoch: 0, step: 400, lr:(2.000e-04,)] [eta: 1 day, 7:12:00, time (data): 0.907 (0.000)] l1_pixel_x2_opt: 7.5931e-02 l1_pixel_x4_opt: 7.2263e-02 mse_pixel_x2_opt: 1.8191e-02 eagle_pixel_x2_opt: 7.8001e+00 mse_pixel_x4_opt: 1.9855e-02 eagle_pixel_x4_opt: 7.8364e+00 l_g_gan_x2: 4.0131e-03 l_g_gan_x4: 3.6011e-03 l_d_real_x2: 6.7578e-01 out_d_real_x2: 7.4414e-01 l_d_fake_x2: 2.8320e-01 out_d_fake_x2: -8.0273e-01 l_d_real_x4: 7.4609e-01 out_d_real_x4: 8.4570e-01 l_d_fake_x4: 3.2129e-01 out_d_fake_x4: -7.2070e-01 +2025-11-06 17:58:42,019 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:42,915 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:43,811 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:44,709 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:45,609 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:46,506 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:47,401 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:48,303 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:49,199 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:50,100 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:50,996 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:51,893 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:52,790 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:53,687 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:54,585 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:55,482 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:56,378 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:57,276 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:58,174 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:59,073 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:58:59,970 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:00,866 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:01,762 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:02,659 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:03,557 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:04,453 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:05,351 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:06,249 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:07,146 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:08,044 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:08,940 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:09,837 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:10,734 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:11,630 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:12,533 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:13,428 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:14,326 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:15,224 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:16,120 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:17,018 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:17,918 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:18,817 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:19,714 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:20,609 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:21,505 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:22,400 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:23,296 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:24,193 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:25,088 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:25,986 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:26,883 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:27,779 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:28,675 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:29,570 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:30,464 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:31,361 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:32,257 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:33,151 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:34,048 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:34,944 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:35,838 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:36,737 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:37,634 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:38,533 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:39,429 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:40,326 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:41,233 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:42,131 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:43,028 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:43,924 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:44,830 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:45,727 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:46,623 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:47,521 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:48,424 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:49,322 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:50,218 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:51,111 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:52,014 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:52,911 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:53,808 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:54,705 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:55,612 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:56,510 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:57,408 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:58,307 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 17:59:59,209 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:00,109 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:01,007 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:01,906 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:02,809 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:03,706 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:04,605 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:05,501 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:06,403 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:07,301 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:08,197 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:09,093 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:09,997 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:10,895 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:11,799 INFO: [43..][epoch: 0, step: 500, lr:(2.000e-04,)] [eta: 1 day, 7:08:59, time (data): 0.898 (0.000)] l1_pixel_x2_opt: 6.9838e-02 l1_pixel_x4_opt: 6.5130e-02 mse_pixel_x2_opt: 1.3424e-02 eagle_pixel_x2_opt: 4.9705e+00 mse_pixel_x4_opt: 1.4389e-02 eagle_pixel_x4_opt: 5.2837e+00 l_g_gan_x2: 2.5558e-03 l_g_gan_x4: 2.8915e-03 l_d_real_x2: 5.8008e-01 out_d_real_x2: 5.9961e-01 l_d_fake_x2: 5.2637e-01 out_d_fake_x2: -5.1074e-01 l_d_real_x4: 5.8594e-01 out_d_real_x4: 8.3984e-01 l_d_fake_x4: 4.4336e-01 out_d_fake_x4: -5.7324e-01 +2025-11-06 18:00:11,800 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:12,701 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:13,608 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:14,505 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:15,402 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:16,301 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:17,203 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:18,102 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:19,001 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:19,901 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:20,803 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:21,703 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:22,600 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:23,498 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:24,400 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:25,299 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:26,197 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:27,098 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:28,005 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:28,903 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:29,799 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:30,695 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:31,600 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:32,497 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:33,394 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:34,292 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:35,199 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:36,100 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:37,004 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:37,907 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:38,812 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:39,709 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:40,604 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:41,501 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:42,406 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:43,304 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:44,202 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:45,098 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:46,008 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:46,904 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:47,807 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:48,710 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:49,615 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:50,512 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:51,407 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:52,302 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:53,207 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:54,103 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:55,006 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:55,910 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:56,816 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:57,714 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:58,614 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:00:59,513 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:00,416 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:01,317 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:02,214 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:03,114 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:04,016 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:04,914 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:05,812 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:06,710 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:07,615 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:08,512 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:09,411 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:10,309 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:11,213 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:12,111 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:13,008 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:13,908 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:14,812 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:15,710 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:16,610 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:17,509 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:18,410 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:19,308 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:20,206 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:21,101 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:22,009 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:22,908 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:23,806 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:24,700 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:25,605 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:26,506 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:27,406 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:28,303 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:29,200 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:30,101 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:30,998 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:31,895 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:32,791 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:33,690 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:34,585 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:35,481 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:36,378 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:37,276 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:38,173 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:39,071 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:39,969 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:40,868 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:41,774 INFO: [43..][epoch: 0, step: 600, lr:(2.000e-04,)] [eta: 1 day, 7:07:09, time (data): 0.899 (0.000)] l1_pixel_x2_opt: 6.4824e-02 l1_pixel_x4_opt: 5.9348e-02 mse_pixel_x2_opt: 1.2144e-02 eagle_pixel_x2_opt: 5.3377e+00 mse_pixel_x4_opt: 1.2045e-02 eagle_pixel_x4_opt: 4.9772e+00 l_g_gan_x2: 4.5319e-03 l_g_gan_x4: 3.5248e-03 l_d_real_x2: 6.6406e-01 out_d_real_x2: 4.4043e-01 l_d_fake_x2: 1.7090e-01 out_d_fake_x2: -9.0820e-01 l_d_real_x4: 5.9375e-01 out_d_real_x4: 7.8516e-01 l_d_fake_x4: 2.9736e-01 out_d_fake_x4: -7.1484e-01 +2025-11-06 18:01:41,776 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:42,672 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:43,569 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:44,467 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:45,364 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:46,261 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:47,159 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:48,061 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:48,962 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:49,859 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:50,757 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:51,655 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:52,552 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:53,450 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:54,346 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:55,244 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:56,143 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:57,040 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:57,939 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:58,836 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:01:59,735 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:00,632 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:01,533 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:02,429 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:03,328 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:04,224 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:05,120 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:06,019 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:06,916 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:07,814 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:08,713 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:09,611 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:10,510 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:11,406 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:12,304 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:13,203 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:14,101 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:14,996 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:15,892 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:16,790 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:17,689 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:18,586 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:19,486 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:20,381 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:21,284 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:22,179 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:23,079 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:23,977 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:24,872 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:25,769 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:26,667 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:27,566 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:28,466 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:29,363 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:30,260 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:31,155 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:32,050 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:32,946 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:33,843 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:34,741 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:35,638 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:36,534 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:37,430 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:38,328 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:39,226 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:40,122 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:41,020 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:41,919 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:42,819 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:43,716 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:44,614 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:45,510 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:46,407 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:47,304 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:48,208 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:49,105 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:50,003 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:50,901 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:51,808 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:52,709 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. +2025-11-06 18:02:53,605 WARNING: Train head context overrides are not yet supported with adversarial components; falling back to default optimization. diff --git a/09_11_2025/basicsr_options.yaml b/09_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..ac9cfd069f6e9921fd370a916589f0cd14aeb97e --- /dev/null +++ b/09_11_2025/basicsr_options.yaml @@ -0,0 +1,419 @@ +model_type: SwinIRInnerHitsModel +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 1337 +find_unused_parameters: true +channels_last: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: noise_innerhits_full_mix + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 8 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + num_prefetch_queue: 2 + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRInnerHits + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true + detail_conditioning: + enabled: true + dim: 2 + default_level: 0.75 + trainable: true + prior_weight: 0.1 + train_sampler: + mode: uniform + min: 0.2 + max: 1.05 + noise: + enabled: true + dim: 2 + default_level: 0.9 + trainable: true + trainable_init: + - 0.85 + - 1.05 + prior_weight: 0.05 + train_sampler: + mode: uniform + min: 0.45 + max: 1.25 + init_gain: 0.95 + min_gain: 0.25 + penalty_weight: 0.0005 + noise_gain: 100.0 + scale_bias: 1.0 + schedule: + - positions: + - 1 + - 3 + std: 0.0025 + relative_std: 0.01 + max_std: 0.05 + learnable_scale: true + per_channel: true + - positions: mid_high + std: 0.004 + relative_std: 0.015 + max_std: 0.12 + apply_in_eval: true + dual_consistency: true +path: + pretrain_network_g: ./runs/08_11_2025/38_noise_innerhits_scratch_13/models/net_g_22500.pth + strict_load_g: false + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/09_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + detail_passes: + - name: low + default: true + level: 0.35 + log_prefix: detail_low + - name: high + level: 0.95 + log_prefix: detail_high + ema_decay: 0.999 + total_steps: 140000 + warmup_iter: -1 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 70000 + - 105000 + - 128000 + gamma: 0.5 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent_clean + target: x2 + detail: low + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent_clean + target: x2 + detail: low + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + hf_latent_x2_opt: + type: LatentHighFrequencyLoss + loss_weight: 0.075 + reduction: mean + space: latent_clean + target: x2 + detail: high + kernel_size: 3 + sigma: 1.0 + aux_downsample_x2_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x2 + detail: low + down_factor: 2 + mode: bicubic + hf_pixel_x2_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x2 + detail: high + kernel_size: 5 + sigma: 1.0 + noise_energy_x2_opt: + type: LatentNoiseEnergyLoss + loss_weight: 0.065 + reduction: mean + space: latent_noise + target: x2 + detail: high + kernel_size: 3 + sigma: 1.0 + energy_norm: l1 + min_ratio: 0.12 + max_ratio: 0.95 + detail_floor: 0.25 + detail_ceiling: 0.9 + target_floor: 0.005 + detail_adequacy_x2_opt: + type: DetailAdequacyLoss + loss_weight: 0.05 + reduction: mean + space: latent_noise + target: x2 + detail: high + kernel_size: 3 + sigma: 1.0 + energy_norm: l1 + min_ratio: 0.35 + max_ratio: 1.0 + detail_floor: 0.3 + detail_ceiling: 0.95 + target_floor: 0.01 + margin: 0.02 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent_clean + target: x4 + detail: low + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.1 + reduction: mean + space: latent_clean + target: x4 + detail: low + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + hf_latent_x4_opt: + type: LatentHighFrequencyLoss + loss_weight: 0.075 + reduction: mean + space: latent_clean + target: x4 + detail: high + kernel_size: 3 + sigma: 1.0 + aux_downsample_x4_opt: + type: DownsampleConsistencyLoss + loss_weight: 0.1 + reduction: mean + space: pixel + target: x4 + detail: low + down_factor: 2 + mode: bicubic + hf_pixel_x4_opt: + type: HighFrequencyL1Loss + loss_weight: 0.05 + reduction: mean + space: pixel + target: x4 + detail: high + kernel_size: 5 + sigma: 1.0 + noise_energy_x4_opt: + type: LatentNoiseEnergyLoss + loss_weight: 0.065 + reduction: mean + space: latent_noise + target: x4 + detail: high + kernel_size: 3 + sigma: 1.0 + energy_norm: l1 + min_ratio: 0.12 + max_ratio: 0.95 + detail_floor: 0.25 + detail_ceiling: 0.9 + target_floor: 0.005 + detail_adequacy_x4_opt: + type: DetailAdequacyLoss + loss_weight: 0.05 + reduction: mean + space: latent_noise + target: x4 + detail: high + kernel_size: 3 + sigma: 1.0 + energy_norm: l1 + min_ratio: 0.35 + max_ratio: 1.0 + detail_floor: 0.3 + detail_ceiling: 0.95 + target_floor: 0.01 + margin: 0.02 +val: + val_freq: 2500 + save_img: true + detail_levels: + - name: low + level: 0.35 + noise_level: + - 0.6 + - 0.75 + log_prefix: val_low + - name: medium + level: 0.65 + noise_level: + - 0.85 + - 1.0 + log_prefix: val_medium + - name: high + level: 0.95 + noise_level: + - 1.1 + - 1.3 + log_prefix: val_high + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 25 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: '46' +name: '46_25' diff --git a/10_11_2025/basicsr_options.yaml b/10_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..3d1c479f82d86c4c595467135dcc2cce9ef85ba7 --- /dev/null +++ b/10_11_2025/basicsr_options.yaml @@ -0,0 +1,175 @@ +model_type: LatentESRGANModel +scale: 4 +num_gpu: 2 +manual_seed: 1337 +channels_last: true +precision: + train: fp32 + eval: fp32 +vae_sources: + sdxl_vae: + hf_repo: stabilityai/sdxl-vae + vae_kind: kl + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl +datasets: + train: + name: latent_esrgan_train + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + io_backend: + type: disk + scale: 4 + batch_size_per_gpu: 192 + num_worker_per_gpu: 64 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + num_prefetch_queue: 2 + latent_dtype: fp32 + val: + name: latent_esrgan_val + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + batch_size_per_gpu: 16 + num_worker_per_gpu: 8 + pin_memory: true + latent_dtype: fp32 +network_g: + type: RRDBNet + num_in_ch: 16 + num_out_ch: 16 + num_feat: 256 + num_block: 46 + num_grow_ch: 64 + scale: 4 +network_d: + type: UNetDiscriminatorSN_basicsr + num_in_ch: 16 + num_feat: 64 +path: + pretrain_network_g: runs/10_11_2025/latent_esrgan/models/net_g_15000.pth + pretrain_network_d: runs/10_11_2025/latent_esrgan/models/net_d_15000.pth + strict_load_g: false + strict_load_d: false + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/10_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + cudagraphs: false +train: + total_steps: 160000 + ema_decay: 0.999 + log_batch_per_n_steps: 499 + net_d_iters: 1 + net_d_init_iters: 0 + optim_g: + type: Adam + lr: 0.0001 + betas: + - 0.0 + - 0.9 + weight_decay: 0 + optim_d: + type: Adam + lr: 0.0002 + betas: + - 0.0 + - 0.9 + weight_decay: 0 + scheduler: + type: MultiStepLR + milestones: + - 80000 + - 120000 + - 150000 + gamma: 0.5 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 5.0 + norm_type: 2.0 + discriminator: + type: norm + max_norm: 5.0 + norm_type: 2.0 + pixel_opt: + type: L1Loss + loss_weight: 0.3 + reduction: mean + gan_opt: + type: GANLoss + gan_type: hinge + loss_weight: 0.02 + d_reg: + type: r1 + gamma: 10.0 + interval: 16 +val: + val_freq: 5000 + save_img: true + metrics: + l1_latent: + type: L1Loss + space: latent + reduction: mean + better: lower + l2_latent: + type: MSELoss + space: latent + reduction: mean + better: lower + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + lpips: + type: calculate_lpips + space: pixel + crop_border: 0 + net: alex +logger: + print_freq: 25 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_train_images: 3 + max_val_images: 8 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: latent_esrgan_continue +name: latent_esrgan_continue diff --git a/11_11_2025/basicsr_options.yaml b/11_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..7699bd4a15d6545e286d4a1c7493bff7eae84b42 --- /dev/null +++ b/11_11_2025/basicsr_options.yaml @@ -0,0 +1,260 @@ +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +channels_last: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + num_prefetch_queue: 2 + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: pretrained_weights/03_11_2025/38/models/net_g_5000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/11_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.0005 + reduction: mean + space: latent + target: x4 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.0005 + reduction: mean + space: latent + target: x2 +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_cleared_data +name: 38_cleared_data diff --git a/12_11_2025/basicsr_options.yaml b/12_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..8220b3f65fabf3c8af434c0a30bcc9bc180b7bff --- /dev/null +++ b/12_11_2025/basicsr_options.yaml @@ -0,0 +1,260 @@ +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +channels_last: true +precision: + train: bf16 + eval: fp32 +vae_sources: + flux_vae: + hf_repo: wolfgangblack/flux_vae + vae_kind: kl + sd3_vae_anime_ft: + hf_repo: Disty0/sd3_vae_anime_ft + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsFluxVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nano_banana_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/recraft_data_crops/embeddings/flux_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_crops_fix/embeddings/flux_vae + vae_names: + - flux_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 4 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + prefetch_mode: cuda + num_prefetch_queue: 2 + latent_dtype: bf16 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/flux_vae + vae_names: + - flux_vae + phase: val + io_backend: + type: disk + scale: 4 + mean: null + std: null + batch_size_per_gpu: 16 + num_worker_per_gpu: 4 + pin_memory: true + latent_dtype: bf16 +network_g: + type: SwinIRMultiHead + in_chans: 16 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 360 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 2 + resi_connection: 1conv + primary_head: x4 + head_num_feat: 256 + heads: + - name: x2 + scale: 2 + out_chans: 16 + - name: x4 + scale: 4 + out_chans: 16 + primary: true +path: + pretrain_network_g: pretrained_weights/03_11_2025/38/models/net_g_5000.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/12_11_2025 +compile: + enabled: true + mode: max-autotune + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.99 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.4 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 62500 + - 93750 + - 112500 + gamma: 0.5 + total_steps: 125000 + warmup_iter: -1 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.0005 + reduction: mean + space: latent + target: x4 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.0005 + reduction: mean + space: latent + target: x2 +val: + val_freq: 5000 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 100 + save_checkpoint_freq: 5000 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29500 + dist: true +load_networks_only: false +exp_name: 38_cleared_data +name: 38_cleared_data diff --git a/18_11_2025/basicsr_options.yaml b/18_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..0ad9c27d77e0eef46420af9de9b16f9de49b57b4 --- /dev/null +++ b/18_11_2025/basicsr_options.yaml @@ -0,0 +1,227 @@ +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + sdxl_vae: + hf_repo: stabilityai/sdxl-vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsSDXLVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/new_embeddings_try_2/sdxl_vae/ + vae_names: + - sdxl_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 24 + batch_size_per_gpu: 64 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sdxl_vae + num_worker_per_gpu: 4 + batch_size_per_gpu: 16 + io_backend: + type: disk + scale: 4 + mean: null + std: null + pin_memory: true +network_g: + type: Swin2MoSeLatentMultiHead + in_chans: 4 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 10 + - 10 + - 10 + - 10 + embed_dim: 640 + num_heads: + - 10 + - 10 + - 10 + - 10 + mlp_ratio: 2.5 + qkv_bias: true + drop_rate: 0.0 + attn_drop_rate: 0.0 + drop_path_rate: 0.3 + patch_norm: true + ape: false + use_checkpoint: false + resi_connection: 1conv + primary_head: x4 + head_num_feat: 896 + heads: + - name: x2 + scale: 2 + out_chans: 4 + num_feat: 640 + - name: x4 + scale: 4 + out_chans: 4 + num_feat: 896 + primary: true + mose_depth: 6 + mose_reduction: 0.25 + mose_dropout: 0.05 +compile: + enabled: true + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + total_steps: 160000 + precision: bf16 + mini_validation: + enabled: true + log_batch_per_n_steps: 500 + mini_validation_img_idx: 0 + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 80000 + - 120000 + - 140000 + gamma: 0.7 + warmup_iter: 2000 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.7 + reduction: mean + space: latent + target: x2 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.5 + reduction: mean + space: latent + target: x4 + fft_latent_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.05 + reduction: mean + space: latent + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + fft_latent_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.15 + reduction: mean + space: latent + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + mose_reg_opt: + loss_weight: 0.005 + log_key: mose_reg +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 10 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29501 + dist: true +load_networks_only: false +exp_name: 1_sdxl_swin2mose +name: 1_sdxl_swin2mose +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/18_11_2025 diff --git a/19_11_2025/basicsr_options.yaml b/19_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..37b6f4bf54fc5db3b828ec9cffffc6927678e6e7 --- /dev/null +++ b/19_11_2025/basicsr_options.yaml @@ -0,0 +1,311 @@ +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + sdxl_vae: + hf_repo: stabilityai/sdxl-vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsSDXLVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/new_embeddings_try_2/sdxl_vae/ + vae_names: + - sdxl_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 10 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sdxl_vae + num_worker_per_gpu: 4 + batch_size_per_gpu: 16 + io_backend: + type: disk + scale: 4 + mean: null + std: null + pin_memory: true +network_g: + type: Swin2MoSeLatentMultiHead + in_chans: 4 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 10 + - 10 + - 10 + - 10 + embed_dim: 640 + num_heads: + - 10 + - 10 + - 10 + - 10 + mlp_ratio: 2.5 + qkv_bias: true + drop_rate: 0.0 + attn_drop_rate: 0.0 + drop_path_rate: 0.3 + patch_norm: true + ape: false + use_checkpoint: false + resi_connection: 1conv + primary_head: x4 + head_num_feat: 896 + heads: + - name: x2 + scale: 2 + out_chans: 4 + num_feat: 640 + - name: x4 + scale: 4 + out_chans: 4 + num_feat: 896 + primary: true + mose_depth: 6 + mose_reduction: 0.25 + mose_dropout: 0.05 +path: + pretrain_network_g: ./final_weights/3_sdxl_swin2mose/models/net_g_2500.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/19_11_2025 +compile: + enabled: true + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + total_steps: 160000 + precision: bf16 + mini_validation: + enabled: true + log_batch_per_n_steps: 500 + mini_validation_img_idx: 0 + ema_decay: 0.999 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 80000 + - 120000 + - 140000 + gamma: 0.7 + warmup_iter: 2000 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.025 + reduction: mean + space: latent + target: x2 + latent_stats_x2_opt: + type: LatentStatsLoss + loss_weight: 0.08 + reduction: mean + space: latent + target: x2 + match_mean: true + match_std: true + eps: 1e-6 + latent_range_x2_opt: + type: LatentRangeLoss + loss_weight: 0.02 + reduction: mean + space: latent + target: x2 + match_min: true + match_max: true + percentile: 5.0 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 1.0 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.025 + reduction: mean + space: latent + target: x4 + latent_stats_x4_opt: + type: LatentStatsLoss + loss_weight: 0.1 + reduction: mean + space: latent + target: x4 + match_mean: true + match_std: true + eps: 1e-6 + latent_range_x4_opt: + type: LatentRangeLoss + loss_weight: 0.03 + reduction: mean + space: latent + target: x4 + match_min: true + match_max: true + percentile: 5.0 + kl_latent_x4_opt: + type: KLDivergenceLoss + loss_weight: 0.005 + reduction: batchmean + space: latent + target: x4 + temperature: 1.0 + log_target: false + mose_reg_opt: + loss_weight: 0.005 + log_key: mose_reg +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + latent_stats: + type: LatentStatsLoss + space: latent + match_mean: true + match_std: true + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + latent_stats: + type: LatentStatsLoss + space: latent + match_mean: true + match_std: true + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 10 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29502 + dist: true +load_networks_only: false +exp_name: 4_sdxl_swin2mose +name: 4_sdxl_swin2mose diff --git a/20_11_2025/basicsr_options.yaml b/20_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..c10c96ef507eb2867ff23103d5fe4382fc484281 --- /dev/null +++ b/20_11_2025/basicsr_options.yaml @@ -0,0 +1,245 @@ +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + sdxl_vae: + hf_repo: stabilityai/sdxl-vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsSDXLVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/new_embeddings_try_2/sdxl_vae/ + vae_names: + - sdxl_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 19 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sdxl_vae + num_worker_per_gpu: 4 + batch_size_per_gpu: 16 + io_backend: + type: disk + scale: 4 + mean: null + std: null + pin_memory: true +network_g: + type: Swin2MoSeLatentMultiHead + in_chans: 4 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 10 + - 10 + - 10 + - 10 + embed_dim: 640 + num_heads: + - 10 + - 10 + - 10 + - 10 + mlp_ratio: 2.5 + qkv_bias: true + drop_rate: 0.0 + attn_drop_rate: 0.0 + drop_path_rate: 0.15 + patch_norm: true + ape: false + use_checkpoint: false + resi_connection: 1conv + primary_head: x4 + head_num_feat: 896 + heads: + - name: x2 + scale: 2 + out_chans: 4 + num_feat: 640 + - name: x4 + scale: 4 + out_chans: 4 + num_feat: 896 + primary: true + mose_depth: 6 + mose_reduction: 0.25 + mose_dropout: 0.05 +path: + pretrain_network_g: ./final_weights/3_sdxl_swin2mose/models/net_g_2500.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/20_11_2025 +compile: + enabled: true + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + total_steps: 160000 + precision: bf16 + mini_validation: + enabled: true + log_batch_per_n_steps: 500 + mini_validation_img_idx: 0 + ema_decay: 0.99 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0005 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.3 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 40000 + - 80000 + - 120000 + gamma: 0.5 + warmup_iter: 5000 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 0.0005 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x2 + mse_pixel_x2_opt: + type: MSELoss + loss_weight: 2.0 + reduction: mean + space: pixel + target: x2 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 0.0005 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 10.0 + reduction: mean + space: pixel + target: x4 + mse_pixel_x4_opt: + type: MSELoss + loss_weight: 2.0 + reduction: mean + space: pixel + target: x4 + mose_reg_opt: + loss_weight: 0.005 + log_key: mose_reg +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + latent_stats: + type: LatentStatsLoss + space: latent + match_mean: true + match_std: true + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + latent_stats: + type: LatentStatsLoss + space: latent + match_mean: true + match_std: true + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 10 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29502 + dist: true +load_networks_only: false +exp_name: 4_sdxl_swin2mose +name: 4_sdxl_swin2mose diff --git a/22_11_2025/basicsr_options.yaml b/22_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..61a6b2046b377509ad40ee3172a9009809c1f445 --- /dev/null +++ b/22_11_2025/basicsr_options.yaml @@ -0,0 +1,284 @@ +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + sdxl_vae: + hf_repo: stabilityai/sdxl-vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsSDXLVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/new_embeddings_try_2/sdxl_vae/ + vae_names: + - sdxl_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 19 + batch_size_per_gpu: 10 + pin_memory: true + persistent_workers: true + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sdxl_vae + num_worker_per_gpu: 4 + batch_size_per_gpu: 16 + io_backend: + type: disk + scale: 4 + mean: null + std: null + pin_memory: true +network_g: + type: Swin2MoSeLatentMultiHead + in_chans: 4 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 10 + - 10 + - 10 + - 10 + embed_dim: 640 + num_heads: + - 10 + - 10 + - 10 + - 10 + mlp_ratio: 2.5 + qkv_bias: true + drop_rate: 0.0 + attn_drop_rate: 0.0 + drop_path_rate: 0.15 + patch_norm: true + ape: false + use_checkpoint: false + resi_connection: 1conv + primary_head: x4 + head_num_feat: 896 + heads: + - name: x2 + scale: 2 + out_chans: 4 + num_feat: 640 + - name: x4 + scale: 4 + out_chans: 4 + num_feat: 896 + primary: true + mose_depth: 6 + mose_reduction: 0.25 + mose_dropout: 0.05 +path: + pretrain_network_g: ./final_weights/3_sdxl_swin2mose/models/net_g_2500.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/22_11_2025 +compile: + enabled: true + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + total_steps: 160000 + precision: bf16 + mini_validation: + enabled: true + log_batch_per_n_steps: 500 + mini_validation_img_idx: 0 + ema_decay: 0.995 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.0003 + weight_decay: 0 + betas: + - 0.9 + - 0.985 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.3 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 60000 + - 90000 + - 120000 + - 145000 + gamma: 0.6 + warmup_iter: 8000 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 6.0 + reduction: mean + space: pixel + target: x2 + mse_pixel_x2_opt: + type: MSELoss + loss_weight: 0.4 + reduction: mean + space: pixel + target: x2 + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.15 + reduction: mean + space: latent + target: x2 + mse_latent_x2_opt: + type: MSELoss + loss_weight: 0.01 + reduction: mean + space: latent + target: x2 + latent_stats_x2_opt: + type: LatentStatsLoss + loss_weight: 0.01 + match_mean: true + match_std: true + space: latent + target: x2 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 0.001 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 6.0 + reduction: mean + space: pixel + target: x4 + mse_pixel_x4_opt: + type: MSELoss + loss_weight: 0.4 + reduction: mean + space: pixel + target: x4 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.2 + reduction: mean + space: latent + target: x4 + mse_latent_x4_opt: + type: MSELoss + loss_weight: 0.015 + reduction: mean + space: latent + target: x4 + latent_stats_x4_opt: + type: LatentStatsLoss + loss_weight: 0.01 + match_mean: true + match_std: true + space: latent + target: x4 + mose_reg_opt: + loss_weight: 0.0075 + log_key: mose_reg +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + latent_stats: + type: LatentStatsLoss + space: latent + match_mean: true + match_std: true + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + latent_stats: + type: LatentStatsLoss + space: latent + match_mean: true + match_std: true + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 10 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 3 +dist_params: + backend: nccl + port: 29502 + dist: true +load_networks_only: false +exp_name: 6_sdxl_swinmose +name: 6_sdxl_swinmose diff --git a/23_11_2025/basicsr_options.yaml b/23_11_2025/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..b04797f90dbd22e23f824a8853d20bea58b433a9 --- /dev/null +++ b/23_11_2025/basicsr_options.yaml @@ -0,0 +1,308 @@ +model_type: SwinIRLatentModelMultiHead +primary_head: x4 +scale: 4 +num_gpu: auto +manual_seed: 0 +find_unused_parameters: false +vae_sources: + sdxl_vae: + hf_repo: stabilityai/sdxl-vae + vae_kind: kl + weights_dtype: bf16 +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsSDXLVAE + type: MultiScaleLatentCacheDataset + scales: + - 128 + - 256 + - 512 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/midjourney_full_dataset_crops_new/new_embeddings_try_2/sdxl_vae/ + vae_names: + - sdxl_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 20 + batch_size_per_gpu: 20 + pin_memory: true + persistent_workers: true + latent_noise: + std: 0.01 + relative_std: 0.05 + max_std: 0.05 + targets: + - inputs + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sdxl_vae + num_worker_per_gpu: 4 + batch_size_per_gpu: 16 + io_backend: + type: disk + scale: 4 + mean: null + std: null + pin_memory: true +network_g: + type: Swin2MoSeLatentMultiHead + in_chans: 4 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 10 + - 10 + - 10 + - 10 + embed_dim: 640 + num_heads: + - 10 + - 10 + - 10 + - 10 + mlp_ratio: 2.5 + qkv_bias: true + drop_rate: 0.0 + attn_drop_rate: 0.0 + drop_path_rate: 0.15 + patch_norm: true + ape: false + use_checkpoint: false + resi_connection: 1conv + primary_head: x4 + head_num_feat: 896 + heads: + - name: x2 + scale: 2 + out_chans: 4 + num_feat: 640 + - name: x4 + scale: 4 + out_chans: 4 + num_feat: 896 + primary: true + mose_depth: 6 + mose_reduction: 0.25 + mose_dropout: 0.02 +path: + pretrain_network_g: ./final_weights/3_sdxl_swin2mose/models/net_g_2500.pth + strict_load_g: true + experiments_root: /data/kazanplova/latent_vae_upscale_train/runs/23_11_2025 +compile: + enabled: true + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + total_steps: 160000 + precision: bf16 + vae_mini_batch: 10 + vae_checkpointing: true + mini_validation: + enabled: true + log_batch_per_n_steps: 500 + mini_validation_img_idx: 0 + ema_decay: 0.9995 + head_inputs: + x2: + lq: 256 + gt: 512 + x4: + lq: 128 + gt: 512 + optim_g: + type: Adam + lr: 0.00025 + weight_decay: 0 + betas: + - 0.9 + - 0.995 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.5 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 80000 + - 120000 + - 140000 + gamma: 0.7 + warmup_iter: 2000 + eagle_pixel_x2_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x2 + l1_pixel_x2_opt: + type: L1Loss + loss_weight: 6.0 + reduction: mean + space: pixel + target: x2 + mse_pixel_x2_opt: + type: MSELoss + loss_weight: 2.0 + reduction: mean + space: pixel + target: x2 + fft_frequency_x2_opt: + type: FFTFrequencyLoss + loss_weight: 0.2 + reduction: mean + space: pixel + target: x2 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + latent_stats_x2_opt: + type: LatentStatsLoss + loss_weight: 0.05 + space: latent + target: x2 + match_mean: true + match_std: true + l1_latent_x2_opt: + type: L1Loss + loss_weight: 0.05 + reduction: mean + space: latent + target: x2 + latent_range_x2_opt: + type: LatentRangeLoss + loss_weight: 0.02 + space: latent + target: x2 + match_min: true + match_max: true + percentile: 1.0 + eagle_pixel_x4_opt: + type: Eagle_Loss + loss_weight: 5.0e-05 + reduction: mean + space: pixel + patch_size: 3 + cutoff: 0.5 + target: x4 + l1_pixel_x4_opt: + type: L1Loss + loss_weight: 6.0 + reduction: mean + space: pixel + target: x4 + mse_pixel_x4_opt: + type: MSELoss + loss_weight: 2.0 + reduction: mean + space: pixel + target: x4 + fft_frequency_x4_opt: + type: FFTFrequencyLoss + loss_weight: 0.2 + reduction: mean + space: pixel + target: x4 + norm: ortho + use_log_amplitude: false + alpha: 0.0 + normalize_weight: true + eps: 1e-8 + latent_stats_x4_opt: + type: LatentStatsLoss + loss_weight: 0.05 + space: latent + target: x4 + match_mean: true + match_std: true + l1_latent_x4_opt: + type: L1Loss + loss_weight: 0.05 + reduction: mean + space: latent + target: x4 + latent_range_x4_opt: + type: LatentRangeLoss + loss_weight: 0.02 + space: latent + target: x4 + match_min: true + match_max: true + percentile: 1.0 + mose_reg_opt: + loss_weight: 0.005 + log_key: mose_reg +val: + val_freq: 500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 10 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 10 +dist_params: + backend: nccl + port: 29501 + dist: true +load_networks_only: false +exp_name: 7_sxl_with noise_aug +name: 7_sxl_with_noise_aug diff --git a/final_weights/basicsr_options.yaml b/final_weights/basicsr_options.yaml new file mode 100644 index 0000000000000000000000000000000000000000..def481a534136492e77bef2f959ffb418098a4cb --- /dev/null +++ b/final_weights/basicsr_options.yaml @@ -0,0 +1,215 @@ +model_type: SwinIRLatentModelMultiHead +name: optuna_based_5k +primary_head: x4 +scale: 4 +num_gpu: 1 +manual_seed: 0 +find_unused_parameters: true +path: + experiments_root: /data/kazanplova/latent_vae_upscale_train/final_weights + pretrain_network_g: /data/kazanplova/latent_vae_upscale_train/final_weights/optuna_based_5k/models/net_g_17500.pth + resume_state: /data/kazanplova/latent_vae_upscale_train/final_weights/optuna_based_5k/training_states/17500.state +vae_sources: + sdxl_vae: + hf_repo: stabilityai/sdxl-vae + vae_kind: kl +datasets: + train: + name: gpt4_nanobana_midjourney_recraft_CropsSDXLVAE + type: MultiScaleLatentCacheDataset + scales: + - 256 + - 512 + - 1024 + cache_dirs: + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/ultra_hr_crops_1024/embeddings/sdxl_vae/ + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/nanobana_1k/embeddings/sdxl_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/gpt4_1k/embeddings/sdxl_vae + - /data/kazanplova/datasets/full_latent_upscale_dataset_train/mjv5_1k/embeddings/sdxl_vae + vae_names: + - sdxl_vae + phase: train + filename_tmpl: '{}' + io_backend: + type: disk + scale: 4 + mean: null + std: null + num_worker_per_gpu: 28 + batch_size_per_gpu: 28 + pin_memory: true + persistent_workers: true + prefetch_factor: 2 + val: + name: sdxk_120_1024x1024 + type: MultiScaleLatentImageDataset + scales: + - 256 + - 512 + - 1024 + phase: val + cache_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/embeddings/sdxl_vae + image_dirs: + - /data/kazanplova/datasets/latent_upscale_validation_120_samples/images/ + num_worker_per_gpu: 50 + batch_size_per_gpu: 150 + io_backend: + type: disk + scale: 4 + mean: null + std: null + pin_memory: true +network_g: + type: Swin2MoSeLatentMultiHead + in_chans: 4 + img_size: 32 + window_size: 16 + img_range: 1.0 + depths: + - 6 + - 6 + - 6 + - 6 + - 6 + embed_dim: 384 + num_heads: + - 12 + - 12 + - 12 + - 12 + - 12 + mlp_ratio: 4.0 + qkv_bias: true + drop_rate: 0.0 + attn_drop_rate: 0.0 + drop_path_rate: 0.043636394382854646 + patch_norm: true + ape: false + use_checkpoint: false + resi_connection: 1conv + primary_head: x4 + head_num_feat: 512 + heads: + - name: x2 + scale: 2 + out_chans: 4 + num_feat: 384 + - name: x4 + scale: 4 + out_chans: 4 + num_feat: 512 + primary: true + mose_depth: 2 + mose_reduction: 0.25 + mose_dropout: 0.0 +compile: + enabled: false + mode: max-autotune + dynamic: true + fullgraph: false + cudagraphs: false + allow_unspec_int_on_nn_module: true + recompile_limit: 128 + backend: inductor +train: + trainable_loss_weights: true + total_steps: 53000 + precision: bf16 + mini_validation: + enabled: false + ema_decay: 0.999 + head_inputs: + x2: + lq: 512 + gt: 1024 + x4: + lq: 256 + gt: 1024 + optim_g: + type: AdamW + lr: 0.00011252213323662386 + weight_decay: 0.00011489306434102625 + betas: + - 0.9 + - 0.9929709302543275 + grad_clip: + enabled: true + generator: + type: norm + max_norm: 0.42785616724819175 + norm_type: 2.0 + scheduler: + type: MultiStepLR + milestones: + - 2500 + - 3750 + gamma: 0.6433384429030393 + warmup_iter: 100 + mse_latent_x2_opt: + type: MSELoss + loss_weight: 1.0 + reduction: mean + space: latent + target: x2 + l1_latent_x4_opt: + type: L1Loss + loss_weight: 1.0 + reduction: mean + space: latent + target: x4 + mose_reg_opt: + loss_weight: 0.013232112305691294 + log_key: mose_reg +val: + val_freq: 2500 + save_img: true + head_evals: + x2: + save_img: true + label: val_x2 + val_sizes: + lq: 512 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false + x4: + save_img: true + label: val_x4 + val_sizes: + lq: 256 + gt: 1024 + metrics: + l1_latent: + type: L1Loss + space: latent + l2_latent: + type: MSELoss + space: latent + pixel_psnr_pt: + type: calculate_psnr_pt + space: pixel + crop_border: 2 + test_y_channel: false +logger: + print_freq: 25 + save_checkpoint_freq: 2500 + use_tb_logger: true + wandb: + project: Swin2SR-Latent-SR + entity: kazanplova-it-more + resume_id: null + max_val_images: 4 +dist_params: + backend: nccl + port: 29501 + dist: false +load_networks_only: false +exp_name: 13_best_config_1_stage