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wandb/run-20260124_003511-fnfy86iu/files/config.yaml

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+        cli_version: 0.18.5
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+        python_version: 3.10.19
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+pretrained:
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+prompt_fn:
+    value: imagenet_animals
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+reward_fn:
+    value: hpsv2
+run_name:
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+sample:
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+        num_batches_per_epoch: 2
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+train:
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+        cfg: true
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wandb/run-20260124_003511-fnfy86iu/files/output.log

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+I0124 00:35:12.769941 130053895333696 train_g2rpo_sd_merge.py:510]
+allow_tf32: true
+logdir: logs
+mixed_precision: bf16
+num_checkpoint_limit: 5
+num_epochs: 300
+pretrained:
+  model: ./data/StableDiffusion
+  revision: main
+prompt_fn: imagenet_animals
+prompt_fn_kwargs: {}
+resume_from: ''
+reward_fn: hpsv2
+run_name: 2026.01.24_00.34.56
+sample:
+  batch_size: 1
+  eta: 1.0
+  guidance_scale: 5.0
+  num_batches_per_epoch: 2
+  num_steps: 50
+save_freq: 20
+seed: 42
+train:
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  adam_epsilon: 1.0e-08
+  adam_weight_decay: 0.0001
+  adv_clip_max: 5
+  batch_size: 1
+  cfg: true
+  clip_range: 0.0001
+  gradient_accumulation_steps: 1
+  learning_rate: 1.0e-05
+  max_grad_norm: 1.0
+  num_inner_epochs: 1
+  timestep_fraction: 1.0
+  use_8bit_adam: false
+use_lora: false
+
+Loading pipeline components...: 100%|████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:00<00:00,  9.10it/s]
+Traceback (most recent call last):
+  File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 920, in <module>
+    app.run(main)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 316, in run
+    _run_main(main, args)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 261, in _run_main
+    sys.exit(main(argv))
+  File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 597, in main
+    unet, optimizer = accelerator.prepare(unet, optimizer)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1350, in prepare
+    result = tuple(
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1351, in <genexpr>
+    self._prepare_one(obj, first_pass=True, device_placement=d) for obj, d in zip(args, device_placement)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1226, in _prepare_one
+    return self.prepare_model(obj, device_placement=device_placement)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1477, in prepare_model
+    model = torch.nn.parallel.DistributedDataParallel(
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 858, in __init__
+    _verify_param_shape_across_processes(self.process_group, parameters)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/distributed/utils.py", line 281, in _verify_param_shape_across_processes
+    return dist._verify_params_across_processes(process_group, tensors, logger)
+RuntimeError: DDP expects same model across all ranks, but Rank 0 has 686 params, while rank 1 has inconsistent 0 params.
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 920, in <module>
+[rank0]:     app.run(main)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 316, in run
+[rank0]:     _run_main(main, args)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 261, in _run_main
+[rank0]:     sys.exit(main(argv))
+[rank0]:   File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 597, in main
+[rank0]:     unet, optimizer = accelerator.prepare(unet, optimizer)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1350, in prepare
+[rank0]:     result = tuple(
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1351, in <genexpr>
+[rank0]:     self._prepare_one(obj, first_pass=True, device_placement=d) for obj, d in zip(args, device_placement)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1226, in _prepare_one
+[rank0]:     return self.prepare_model(obj, device_placement=device_placement)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1477, in prepare_model
+[rank0]:     model = torch.nn.parallel.DistributedDataParallel(
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 858, in __init__
+[rank0]:     _verify_param_shape_across_processes(self.process_group, parameters)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/distributed/utils.py", line 281, in _verify_param_shape_across_processes
+[rank0]:     return dist._verify_params_across_processes(process_group, tensors, logger)
+[rank0]: RuntimeError: DDP expects same model across all ranks, but Rank 0 has 686 params, while rank 1 has inconsistent 0 params.

wandb/run-20260124_003511-fnfy86iu/files/requirements.txt

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wandb/run-20260124_003511-fnfy86iu/files/wandb-metadata.json

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wandb/run-20260124_022230-0y3z9z7o/files/output.log

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+I0124 02:22:31.450613 138092014643008 train_g2rpo_sd_merge.py:465]
+allow_tf32: true
+logdir: logs
+mixed_precision: bf16
+num_checkpoint_limit: 5
+num_epochs: 300
+pretrained:
+  model: ./data/StableDiffusion
+  revision: main
+prompt_fn: imagenet_animals
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+reward_fn: hpsv2
+run_name: 2026.01.24_02.22.28
+sample:
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+  eta: 1.0
+  guidance_scale: 5.0
+  num_batches_per_epoch: 2
+  num_steps: 50
+save_freq: 20
+seed: 42
+train:
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  adam_epsilon: 1.0e-08
+  adam_weight_decay: 0.0001
+  adv_clip_max: 5
+  batch_size: 1
+  cfg: true
+  clip_range: 0.0001
+  gradient_accumulation_steps: 1
+  learning_rate: 1.0e-05
+  max_grad_norm: 1.0
+  num_inner_epochs: 1
+  timestep_fraction: 1.0
+  use_8bit_adam: false
+use_lora: false
+
+Loading pipeline components...: 100%|███████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:02<00:00,  2.47it/s]
+/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/timm/models/layers/__init__.py:48: FutureWarning: Importing from timm.models.layers is deprecated, please import via timm.layers
+  warnings.warn(f"Importing from {__name__} is deprecated, please import via timm.layers", FutureWarning)
+I0124 02:22:34.955836 138092014643008 factory.py:159] Loaded ViT-H-14 model config.
+I0124 02:22:40.351596 138092014643008 factory.py:207] Loading pretrained ViT-H-14 weights (./data/hps/open_clip_pytorch_model.bin).
+Traceback (most recent call last):
+  File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 930, in <module>
+    app.run(main)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 316, in run
+    _run_main(main, args)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 261, in _run_main
+    sys.exit(main(argv))
+  File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 603, in main
+    unet, optimizer = accelerator.prepare(unet, optimizer)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1350, in prepare
+    result = tuple(
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1351, in <genexpr>
+    self._prepare_one(obj, first_pass=True, device_placement=d) for obj, d in zip(args, device_placement)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1226, in _prepare_one
+    return self.prepare_model(obj, device_placement=device_placement)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1477, in prepare_model
+    model = torch.nn.parallel.DistributedDataParallel(
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 858, in __init__
+    _verify_param_shape_across_processes(self.process_group, parameters)
+  File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/distributed/utils.py", line 281, in _verify_param_shape_across_processes
+    return dist._verify_params_across_processes(process_group, tensors, logger)
+torch.distributed.DistBackendError: NCCL error in: /pytorch/torch/csrc/distributed/c10d/NCCLUtils.cpp:94, invalid usage (run with NCCL_DEBUG=WARN for details), NCCL version 2.27.5
+ncclInvalidUsage: This usually reflects invalid usage of NCCL library.
+Last error:
+Duplicate GPU detected : rank 0 and rank 6 both on CUDA device 2c000
+[rank0]: Traceback (most recent call last):
+[rank0]:   File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 930, in <module>
+[rank0]:     app.run(main)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 316, in run
+[rank0]:     _run_main(main, args)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/absl/app.py", line 261, in _run_main
+[rank0]:     sys.exit(main(argv))
+[rank0]:   File "/data1/zsj/SceneDPO/Rebuttal/E-GRPO/scoure_code/fastvideo/train_g2rpo_sd_merge.py", line 603, in main
+[rank0]:     unet, optimizer = accelerator.prepare(unet, optimizer)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1350, in prepare
+[rank0]:     result = tuple(
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1351, in <genexpr>
+[rank0]:     self._prepare_one(obj, first_pass=True, device_placement=d) for obj, d in zip(args, device_placement)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1226, in _prepare_one
+[rank0]:     return self.prepare_model(obj, device_placement=device_placement)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/accelerate/accelerator.py", line 1477, in prepare_model
+[rank0]:     model = torch.nn.parallel.DistributedDataParallel(
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/nn/parallel/distributed.py", line 858, in __init__
+[rank0]:     _verify_param_shape_across_processes(self.process_group, parameters)
+[rank0]:   File "/home/zsj/anaconda3/envs/g2rpo/lib/python3.10/site-packages/torch/distributed/utils.py", line 281, in _verify_param_shape_across_processes
+[rank0]:     return dist._verify_params_across_processes(process_group, tensors, logger)
+[rank0]: torch.distributed.DistBackendError: NCCL error in: /pytorch/torch/csrc/distributed/c10d/NCCLUtils.cpp:94, invalid usage (run with NCCL_DEBUG=WARN for details), NCCL version 2.27.5
+[rank0]: ncclInvalidUsage: This usually reflects invalid usage of NCCL library.
+[rank0]: Last error:
+[rank0]: Duplicate GPU detected : rank 0 and rank 6 both on CUDA device 2c000

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+2026-01-24 10:51:03,633 INFO    MainThread:694321 [wandb_run.py:_config_callback():1390] config_cb None None {'allow_tf32': True, 'logdir': 'logs', 'mixed_precision': 'bf16', 'num_checkpoint_limit': 5, 'num_epochs': 300, 'pretrained': {'model': './data/StableDiffusion', 'revision': 'main'}, 'prompt_fn': 'imagenet_animals', 'prompt_fn_kwargs': {}, 'resume_from': '', 'reward_fn': 'hpsv2', 'run_name': '2026.01.24_10.51.00', 'sample': {'batch_size': 1, 'eta': 1.0, 'guidance_scale': 5.0, 'num_batches_per_epoch': 2, 'num_steps': 50}, 'save_freq': 20, 'seed': 42, 'train': {'adam_beta1': 0.9, 'adam_beta2': 0.999, 'adam_epsilon': 1e-08, 'adam_weight_decay': 0.0001, 'adv_clip_max': 5, 'batch_size': 1, 'cfg': True, 'clip_range': 0.0001, 'gradient_accumulation_steps': 1, 'learning_rate': 1e-05, 'max_grad_norm': 1.0, 'num_inner_epochs': 1, 'timestep_fraction': 1.0, 'use_8bit_adam': False}, 'use_lora': False}
+2026-01-24 11:02:19,491 WARNING MsgRouterThr:694321 [router.py:message_loop():77] message_loop has been closed