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slurm-3534467.out
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NODELIST=gammagpu13
MASTER_ADDR=gammagpu13
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/bin/accelerate", line 8, in <module>
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/bin/accelerate", line 8, in <module>
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/bin/accelerate", line 8, in <module>
sys.exit(main())
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/accelerate_cli.py", line 48, in main
sys.exit(main())
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/accelerate_cli.py", line 48, in main
sys.exit(main())
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/accelerate_cli.py", line 48, in main
args.func(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 1097, in launch_command
args.func(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 1097, in launch_command
args.func(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 1097, in launch_command
multi_gpu_launcher(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 734, in multi_gpu_launcher
multi_gpu_launcher(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 734, in multi_gpu_launcher
multi_gpu_launcher(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 734, in multi_gpu_launcher
distrib_run.run(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/run.py", line 892, in run
distrib_run.run(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/run.py", line 892, in run
distrib_run.run(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/run.py", line 892, in run
elastic_launch(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 133, in __call__
elastic_launch(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 133, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 255, in launch_agent
return launch_agent(self._config, self._entrypoint, list(args))
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 255, in launch_agent
elastic_launch(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 133, in __call__
result = agent.run()
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
return launch_agent(self._config, self._entrypoint, list(args))
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 255, in launch_agent
result = agent.run()
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 680, in run
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 680, in run
result = agent.run()
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
result = self._invoke_run(role)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 829, in _invoke_run
result = self._invoke_run(role)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 829, in _invoke_run
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 680, in run
self._initialize_workers(self._worker_group)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
self._initialize_workers(self._worker_group)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
result = self._invoke_run(role)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 829, in _invoke_run
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 652, in _initialize_workers
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 652, in _initialize_workers
self._initialize_workers(self._worker_group)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
self._rendezvous(worker_group)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
self._rendezvous(worker_group)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 652, in _initialize_workers
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 489, in _rendezvous
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 489, in _rendezvous
self._rendezvous(worker_group)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/metrics/api.py", line 124, in wrapper
rdzv_info = spec.rdzv_handler.next_rendezvous()
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py", line 66, in next_rendezvous
rdzv_info = spec.rdzv_handler.next_rendezvous()
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py", line 66, in next_rendezvous
result = f(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/agent/server/api.py", line 489, in _rendezvous
self._store = TCPStore( # type: ignore[call-arg]
RuntimeError: The server socket has failed to listen on any local network address. useIpv6: 0, code: -98, name: EADDRINUSE, message: address already in use
rdzv_info = spec.rdzv_handler.next_rendezvous()
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/elastic/rendezvous/static_tcp_rendezvous.py", line 66, in next_rendezvous
self._store = TCPStore( # type: ignore[call-arg]
RuntimeError: The server socket has failed to listen on any local network address. useIpv6: 0, code: -98, name: EADDRINUSE, message: address already in use
self._store = TCPStore( # type: ignore[call-arg]
RuntimeError: The server socket has failed to listen on any local network address. useIpv6: 0, code: -98, name: EADDRINUSE, message: address already in use
srun: error: gammagpu13: tasks 0-2: Exited with exit code 1
WARNING:accelerate.utils.other:Detected kernel version 4.18.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
wandb: Currently logged in as: sjxu (sjxu_gamma). Use `wandb login --relogin` to force relogin
wandb: Appending key for api.wandb.ai to your netrc file: /fs/nexus-scratch/sjxu/.netrc
wandb: Currently logged in as: sjxu (sjxu_gamma). Use `wandb login --relogin` to force relogin
wandb: Currently logged in as: sjxu (sjxu_gamma). Use `wandb login --relogin` to force relogin
wandb: Currently logged in as: sjxu (sjxu_gamma). Use `wandb login --relogin` to force relogin
wandb: Appending key for api.wandb.ai to your netrc file: /fs/nexus-scratch/sjxu/.netrc
wandb: Appending key for api.wandb.ai to your netrc file: /fs/nexus-scratch/sjxu/.netrc
wandb: Appending key for api.wandb.ai to your netrc file: /fs/nexus-scratch/sjxu/.netrc
INFO:__main__:Distributed environment: MULTI_GPU Backend: nccl
Num processes: 4
Process index: 2
Local process index: 2
Device: cuda:2
Mixed precision type: fp16
INFO:__main__:Distributed environment: MULTI_GPU Backend: nccl
Num processes: 4
Process index: 0
Local process index: 0
Device: cuda:0
Mixed precision type: fp16
INFO:__main__:Distributed environment: MULTI_GPU Backend: nccl
Num processes: 4
Process index: 3
Local process index: 3
Device: cuda:3
Mixed precision type: fp16
INFO:__main__:Distributed environment: MULTI_GPU Backend: nccl
Num processes: 4
Process index: 1
Local process index: 1
Device: cuda:1
Mixed precision type: fp16
prediction_type: v_prediction
prediction_type: v_prediction
prediction_type: v_prediction
{'rescale_betas_zero_snr', 'final_sigmas_type'} was not found in config. Values will be initialized to default values.
prediction_type: v_prediction
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Setting up [LPIPS] perceptual loss: trunk [alex], v[0.1], spatial [off]
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
warnings.warn(
/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=AlexNet_Weights.IMAGENET1K_V1`. You can also use `weights=AlexNet_Weights.DEFAULT` to get the most up-to-date weights.
warnings.warn(msg)
Loading model from: /fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth
Loading model from: /fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth
Loading model from: /fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth
Loading model from: /fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/lpips/weights/v0.1/alex.pth
FrozenDict([('sample_size', 96), ('in_channels', 8), ('out_channels', 4), ('down_block_types', ['CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'DownBlockSpatioTemporal']), ('up_block_types', ['UpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal']), ('block_out_channels', [320, 640, 1280, 1280]), ('addition_time_embed_dim', 256), ('projection_class_embeddings_input_dim', 768), ('layers_per_block', 2), ('cross_attention_dim', 1024), ('transformer_layers_per_block', 1), ('num_attention_heads', [5, 10, 20, 20]), ('num_frames', 14), ('_class_name', 'UNetSpatioTemporalConditionControlNetModel'), ('_diffusers_version', '0.24.0.dev0'), ('_name_or_path', 'stabilityai/stable-video-diffusion-img2vid')])
FrozenDict([('sample_size', 96), ('in_channels', 8), ('out_channels', 4), ('down_block_types', ['CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'DownBlockSpatioTemporal']), ('up_block_types', ['UpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal']), ('block_out_channels', [320, 640, 1280, 1280]), ('addition_time_embed_dim', 256), ('projection_class_embeddings_input_dim', 768), ('layers_per_block', 2), ('cross_attention_dim', 1024), ('transformer_layers_per_block', 1), ('num_attention_heads', [5, 10, 20, 20]), ('num_frames', 14), ('_class_name', 'UNetSpatioTemporalConditionControlNetModel'), ('_diffusers_version', '0.24.0.dev0'), ('_name_or_path', 'stabilityai/stable-video-diffusion-img2vid')])
FrozenDict([('sample_size', 96), ('in_channels', 8), ('out_channels', 4), ('down_block_types', ['CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'DownBlockSpatioTemporal']), ('up_block_types', ['UpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal']), ('block_out_channels', [320, 640, 1280, 1280]), ('addition_time_embed_dim', 256), ('projection_class_embeddings_input_dim', 768), ('layers_per_block', 2), ('cross_attention_dim', 1024), ('transformer_layers_per_block', 1), ('num_attention_heads', [5, 10, 20, 20]), ('num_frames', 14), ('_class_name', 'UNetSpatioTemporalConditionControlNetModel'), ('_diffusers_version', '0.24.0.dev0'), ('_name_or_path', 'stabilityai/stable-video-diffusion-img2vid')])
layers per block is 2
layers per block is 2
layers per block is 2
INFO:__main__:Initializing controlnet weights from unet
FrozenDict([('sample_size', 96), ('in_channels', 8), ('out_channels', 4), ('down_block_types', ['CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'CrossAttnDownBlockSpatioTemporal', 'DownBlockSpatioTemporal']), ('up_block_types', ['UpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal', 'CrossAttnUpBlockSpatioTemporal']), ('block_out_channels', [320, 640, 1280, 1280]), ('addition_time_embed_dim', 256), ('projection_class_embeddings_input_dim', 768), ('layers_per_block', 2), ('cross_attention_dim', 1024), ('transformer_layers_per_block', 1), ('num_attention_heads', [5, 10, 20, 20]), ('num_frames', 14), ('_class_name', 'UNetSpatioTemporalConditionControlNetModel'), ('_diffusers_version', '0.24.0.dev0'), ('_name_or_path', 'stabilityai/stable-video-diffusion-img2vid')])
layers per block is 2
modify_layers in progress: torch.Size([6, 1, 16])
modify_layers in progress: 16 320
modify_layers in progress: torch.Size([6, 1, 16])
modify_layers in progress: 16 320
modify_layers in progress: torch.Size([6, 1, 16])
modify_layers in progress: 16 320
modify_layers in progress: torch.Size([6, 1, 16])
modify_layers in progress: 16 320
data scale: 5910
data scale: 5910
length 5910
sample size (512, 512)
length 5910
sample size (512, 512)
data scale: 5910
length 5910
sample size (512, 512)
data scale: 5910
length 5910
sample size (512, 512)
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wandb: Tracking run with wandb version 0.17.8
wandb: Run data is saved locally in /fs/nexus-scratch/sjxu/svd-temporal-controlnet/wandb/run-20250113_110857-igaj2mpl
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run sleek-paper-222
wandb: ⭐️ View project at https://wandb.ai/sjxu_gamma/SVD_Con_Mul
wandb: 🚀 View run at https://wandb.ai/sjxu_gamma/SVD_Con_Mul/runs/igaj2mpl
INFO:__main__:***** Running training *****
INFO:__main__: Num examples = 4728
INFO:__main__: Num Epochs = 120
INFO:__main__: Instantaneous batch size per device = 1
INFO:__main__: Total train batch size (w. parallel, distributed & accumulation) = 64
INFO:__main__: Gradient Accumulation steps = 16
INFO:__main__: Total optimization steps = 8880
0%| | 0/8880 [00:00<?, ?it/s]Steps: 0%| | 0/8880 [00:00<?, ?it/s]Steps: 0%| | 0/8880 [00:08<?, ?it/s, lr=0.0001, step_loss=0.271]Steps: 0%| | 0/8880 [00:10<?, ?it/s, lr=0.0001, step_loss=0.332]Steps: 0%| | 0/8880 [00:12<?, ?it/s, lr=0.0001, step_loss=0.22] Steps: 0%| | 0/8880 [00:13<?, ?it/s, lr=0.0001, step_loss=0.214]Steps: 0%| | 0/8880 [00:14<?, ?it/s, lr=0.0001, step_loss=0.154]Steps: 0%| | 0/8880 [00:15<?, ?it/s, lr=0.0001, step_loss=0.293]Steps: 0%| | 0/8880 [00:16<?, ?it/s, lr=0.0001, step_loss=0.276]Steps: 0%| | 0/8880 [00:17<?, ?it/s, lr=0.0001, step_loss=0.209]Steps: 0%| | 0/8880 [00:19<?, ?it/s, lr=0.0001, step_loss=0.298]Steps: 0%| | 0/8880 [00:20<?, ?it/s, lr=0.0001, step_loss=0.173]Steps: 0%| | 0/8880 [00:21<?, ?it/s, lr=0.0001, step_loss=0.212]Steps: 0%| | 0/8880 [00:22<?, ?it/s, lr=0.0001, step_loss=0.133]Steps: 0%| | 0/8880 [00:23<?, ?it/s, lr=0.0001, step_loss=0.177]Steps: 0%| | 0/8880 [00:24<?, ?it/s, lr=0.0001, step_loss=0.216]Steps: 0%| | 0/8880 [00:26<?, ?it/s, lr=0.0001, step_loss=0.257][rank0]:[W113 11:09:26.089917539 reducer.cpp:1400] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
[rank2]:[W113 11:09:26.091210458 reducer.cpp:1400] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
[rank1]:[W113 11:09:26.167876160 reducer.cpp:1400] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
[rank3]:[W113 11:09:26.256568838 reducer.cpp:1400] Warning: find_unused_parameters=True was specified in DDP constructor, but did not find any unused parameters in the forward pass. This flag results in an extra traversal of the autograd graph every iteration, which can adversely affect performance. If your model indeed never has any unused parameters in the forward pass, consider turning this flag off. Note that this warning may be a false positive if your model has flow control causing later iterations to have unused parameters. (function operator())
Steps: 0%| | 1/8880 [00:27<68:48:42, 27.90s/it, lr=0.0001, step_loss=0.257]INFO:__main__:Running validation...
Generating 1 videos.
{'multi_frame', 'insert_light', 'controlnet'} was not found in config. Values will be initialized to default values.
Loading pipeline components...: 0%| | 0/5 [00:00<?, ?it/s][A{'rescale_betas_zero_snr', 'final_sigmas_type'} was not found in config. Values will be initialized to default values.
Loaded scheduler as EulerDiscreteScheduler from `scheduler` subfolder of stabilityai/stable-video-diffusion-img2vid.
Loaded feature_extractor as CLIPImageProcessor from `feature_extractor` subfolder of stabilityai/stable-video-diffusion-img2vid.
Loading pipeline components...: 100%|██████████| 5/5 [00:00<00:00, 320.41it/s]
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2024, in <module>
main()
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1905, in main
video_frames = pipeline(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/pipeline/pipeline_stable_video_diffusion_controlnet.py", line 461, in __call__
image_embeddings = self._encode_image(image[0], device, num_videos_per_prompt, do_classifier_free_guidance)
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/pipeline/pipeline_stable_video_diffusion_controlnet.py", line 167, in _encode_image
image_embeddings = self.image_encoder(image).image_embeds
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 1483, in forward
vision_outputs = self.vision_model(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 1029, in forward
hidden_states = self.embeddings(pixel_values)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 191, in forward
patch_embeds = self.patch_embedding(pixel_values.to(dtype=target_dtype)) # shape = [*, width, grid, grid]
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
return forward_call(*args, **kwargs)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 458, in forward
return self._conv_forward(input, self.weight, self.bias)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 454, in _conv_forward
return F.conv2d(input, weight, bias, self.stride,
RuntimeError: Given groups=1, weight of size [1280, 3, 14, 14], expected input[1, 4, 224, 224] to have 3 channels, but got 4 channels instead
[rank0]: Traceback (most recent call last):
[rank0]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2024, in <module>
[rank0]: main()
[rank0]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1905, in main
[rank0]: video_frames = pipeline(
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
[rank0]: return func(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/pipeline/pipeline_stable_video_diffusion_controlnet.py", line 461, in __call__
[rank0]: image_embeddings = self._encode_image(image[0], device, num_videos_per_prompt, do_classifier_free_guidance)
[rank0]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/pipeline/pipeline_stable_video_diffusion_controlnet.py", line 167, in _encode_image
[rank0]: image_embeddings = self.image_encoder(image).image_embeds
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
[rank0]: return self._call_impl(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank0]: return forward_call(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 1483, in forward
[rank0]: vision_outputs = self.vision_model(
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
[rank0]: return self._call_impl(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank0]: return forward_call(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 1029, in forward
[rank0]: hidden_states = self.embeddings(pixel_values)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
[rank0]: return self._call_impl(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank0]: return forward_call(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 191, in forward
[rank0]: patch_embeds = self.patch_embedding(pixel_values.to(dtype=target_dtype)) # shape = [*, width, grid, grid]
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl
[rank0]: return self._call_impl(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank0]: return forward_call(*args, **kwargs)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 458, in forward
[rank0]: return self._conv_forward(input, self.weight, self.bias)
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/conv.py", line 454, in _conv_forward
[rank0]: return F.conv2d(input, weight, bias, self.stride,
[rank0]: RuntimeError: Given groups=1, weight of size [1280, 3, 14, 14], expected input[1, 4, 224, 224] to have 3 channels, but got 4 channels instead
wandb: - 0.005 MB of 0.005 MB uploadedwandb: \ 0.022 MB of 0.022 MB uploadedwandb:
wandb: Run history:
wandb: test_loss ▁
wandb: train_loss ▁
wandb:
wandb: Run summary:
wandb: test_loss 0.0
wandb: train_loss 0.23315
wandb:
wandb: 🚀 View run sleek-paper-222 at: https://wandb.ai/sjxu_gamma/SVD_Con_Mul/runs/igaj2mpl
wandb: ⭐️ View project at: https://wandb.ai/sjxu_gamma/SVD_Con_Mul
wandb: Synced 6 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
wandb: Find logs at: ./wandb/run-20250113_110857-igaj2mpl/logs
wandb: WARNING The new W&B backend becomes opt-out in version 0.18.0; try it out with `wandb.require("core")`! See https://wandb.me/wandb-core for more information.
W0113 11:09:35.625083 139709119951616 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 1273540 closing signal SIGTERM
W0113 11:09:35.625430 139709119951616 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 1273541 closing signal SIGTERM
W0113 11:09:35.625526 139709119951616 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 1273542 closing signal SIGTERM
E0113 11:09:36.047289 139709119951616 torch/distributed/elastic/multiprocessing/api.py:833] failed (exitcode: 1) local_rank: 0 (pid: 1273539) of binary: /fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/bin/python
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/bin/accelerate", line 8, in <module>
sys.exit(main())
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/accelerate_cli.py", line 48, in main
args.func(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 1097, in launch_command
multi_gpu_launcher(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/accelerate/commands/launch.py", line 734, in multi_gpu_launcher
distrib_run.run(args)
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/run.py", line 892, in run
elastic_launch(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 133, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 264, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
============================================================
train_svd_controlnet.py FAILED
------------------------------------------------------------
Failures:
<NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2025-01-13_11:09:35
host : gammagpu13.umiacs.umd.edu
rank : 0 (local_rank: 0)
exitcode : 1 (pid: 1273539)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: gammagpu13: task 3: Exited with exit code 1