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slurm-3535056.out
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NODELIST=gammagpu10
MASTER_ADDR=gammagpu10
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__
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__
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 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
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 = 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 = 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 = 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 = 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 = 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
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
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 = 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
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._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
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 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
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
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
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
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: gammagpu10: 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: 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
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: 1
Local process index: 1
Device: cuda:1
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: 0
Local process index: 0
Device: cuda:0
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]
/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)
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)
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)
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
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)
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')])
layers per block is 2
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
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
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
length 5910
sample size (512, 512)
data scale: 5910
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_131632-amlu8fma
wandb: Run `wandb offline` to turn off syncing.
wandb: Syncing run dashing-morning-229
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/amlu8fma
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 [00:09<?, ?it/s, lr=0.0001, step_loss=0.19]Steps: 0%| | 0/8880 [00:10<?, ?it/s, lr=0.0001, step_loss=0.512]Steps: 0%| | 0/8880 [00:11<?, ?it/s, lr=0.0001, step_loss=0.282]Steps: 0%| | 0/8880 [00:12<?, ?it/s, lr=0.0001, step_loss=0.342]Steps: 0%| | 0/8880 [00:14<?, ?it/s, lr=0.0001, step_loss=0.276]Steps: 0%| | 0/8880 [00:15<?, ?it/s, lr=0.0001, step_loss=0.325]Steps: 0%| | 0/8880 [00:16<?, ?it/s, lr=0.0001, step_loss=0.229]Steps: 0%| | 0/8880 [00:17<?, ?it/s, lr=0.0001, step_loss=0.312]Steps: 0%| | 0/8880 [00:18<?, ?it/s, lr=0.0001, step_loss=0.22] Steps: 0%| | 0/8880 [00:20<?, ?it/s, lr=0.0001, step_loss=0.243]Steps: 0%| | 0/8880 [00:21<?, ?it/s, lr=0.0001, step_loss=0.161]Steps: 0%| | 0/8880 [00:22<?, ?it/s, lr=0.0001, step_loss=0.36] Steps: 0%| | 0/8880 [00:23<?, ?it/s, lr=0.0001, step_loss=0.244]Steps: 0%| | 0/8880 [00:24<?, ?it/s, lr=0.0001, step_loss=0.192]Steps: 0%| | 0/8880 [00:25<?, ?it/s, lr=0.0001, step_loss=0.153][rank3]:[W113 13:17:02.422831879 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())
[rank0]:[W113 13:17:02.454986670 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 13:17:02.508676939 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 13:17:02.552368481 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<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.153]INFO:__main__:Running validation...
Generating 1 videos.
{'controlnet', 'insert_light', 'multi_frame'} was not found in config. Values will be initialized to default values.
Loading pipeline components...: 0%| | 0/5 [00:00<?, ?it/s][ALoaded feature_extractor as CLIPImageProcessor from `feature_extractor` subfolder of stabilityai/stable-video-diffusion-img2vid.
{'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.
Loading pipeline components...: 100%|██████████| 5/5 [00:00<00:00, 336.77it/s]
Steps: 0%| | 1/8880 [00:39<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.239]Steps: 0%| | 1/8880 [00:39<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.155]Steps: 0%| | 1/8880 [00:40<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.227]Steps: 0%| | 1/8880 [00:42<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.428]Steps: 0%| | 1/8880 [00:43<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.227]Steps: 0%| | 1/8880 [00:44<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.103]Steps: 0%| | 1/8880 [00:45<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.117]Steps: 0%| | 1/8880 [00:46<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.196]Steps: 0%| | 1/8880 [00:48<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.184]Steps: 0%| | 1/8880 [00:49<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.18] Steps: 0%| | 1/8880 [00:50<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.23]Steps: 0%| | 1/8880 [00:51<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.256]Steps: 0%| | 1/8880 [00:52<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.203]Steps: 0%| | 1/8880 [00:54<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.156]Steps: 0%| | 1/8880 [00:55<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.276]Steps: 0%| | 1/8880 [00:56<68:48:57, 27.90s/it, lr=0.0001, step_loss=0.167]Steps: 0%| | 2/8880 [00:57<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.167]Steps: 0%| | 2/8880 [00:57<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.226]Steps: 0%| | 2/8880 [00:59<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.175]Steps: 0%| | 2/8880 [01:00<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.0932]Steps: 0%| | 2/8880 [01:01<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.122] Steps: 0%| | 2/8880 [01:02<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.122]Steps: 0%| | 2/8880 [01:03<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.102]Steps: 0%| | 2/8880 [01:04<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.0861]Steps: 0%| | 2/8880 [01:05<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.0763]Steps: 0%| | 2/8880 [01:07<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.0999]Steps: 0%| | 2/8880 [01:08<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.134] Steps: 0%| | 2/8880 [01:09<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.125]Steps: 0%| | 2/8880 [01:11<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.158]Steps: 0%| | 2/8880 [01:12<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.118]Steps: 0%| | 2/8880 [01:13<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.124]Steps: 0%| | 2/8880 [01:14<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.458]Steps: 0%| | 2/8880 [01:15<71:49:34, 29.13s/it, lr=0.0001, step_loss=0.17] Steps: 0%| | 3/8880 [01:17<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.17]Steps: 0%| | 3/8880 [01:17<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.089]Steps: 0%| | 3/8880 [01:17<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.123]Steps: 0%| | 3/8880 [01:19<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.237]Steps: 0%| | 3/8880 [01:20<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.133]Steps: 0%| | 3/8880 [01:21<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.229]Steps: 0%| | 3/8880 [01:22<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.0991]Steps: 0%| | 3/8880 [01:24<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.191] Steps: 0%| | 3/8880 [01:25<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.11] Steps: 0%| | 3/8880 [01:26<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.118]Steps: 0%| | 3/8880 [01:27<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.158]Steps: 0%| | 3/8880 [01:28<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.149]Steps: 0%| | 3/8880 [01:29<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.104]Steps: 0%| | 3/8880 [01:31<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.157]Steps: 0%| | 3/8880 [01:32<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.322]Steps: 0%| | 3/8880 [01:33<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.155]Steps: 0%| | 3/8880 [01:34<60:49:11, 24.67s/it, lr=0.0001, step_loss=0.0779]Steps: 0%| | 4/8880 [01:36<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.0779]Steps: 0%| | 4/8880 [01:36<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.306] Steps: 0%| | 4/8880 [01:37<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.2] Steps: 0%| | 4/8880 [01:38<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.115]Steps: 0%| | 4/8880 [01:39<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.0875]Steps: 0%| | 4/8880 [01:40<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.146] Steps: 0%| | 4/8880 [01:42<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.241]Steps: 0%| | 4/8880 [01:43<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.204]Steps: 0%| | 4/8880 [01:44<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.105]Steps: 0%| | 4/8880 [01:45<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.14] Steps: 0%| | 4/8880 [01:47<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.313]Steps: 0%| | 4/8880 [01:48<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.131]Steps: 0%| | 4/8880 [01:49<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.0767]Steps: 0%| | 4/8880 [01:50<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.0969]Steps: 0%| | 4/8880 [01:51<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.115] Steps: 0%| | 4/8880 [01:52<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.109]Steps: 0%| | 4/8880 [01:54<55:12:13, 22.39s/it, lr=0.0001, step_loss=0.176]Steps: 0%| | 5/8880 [01:55<52:30:31, 21.30s/it, lr=0.0001, step_loss=0.176]Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
main()
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
test_loss = evaluate_on_test_set(
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
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 986, in forward
return self.text_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 877, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
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 225, in forward
inputs_embeds = self.token_embedding(input_ids)
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/sparse.py", line 164, in forward
return F.embedding(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
[rank0]: Traceback (most recent call last):
[rank0]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
[rank0]: main()
[rank0]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
[rank0]: test_loss = evaluate_on_test_set(
[rank0]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
[rank0]: encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
[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 986, in forward
[rank0]: return self.text_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 877, in forward
[rank0]: hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
[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 225, in forward
[rank0]: inputs_embeds = self.token_embedding(input_ids)
[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/sparse.py", line 164, in forward
[rank0]: return F.embedding(
[rank0]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
[rank0]: return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
[rank0]: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
main()
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
test_loss = evaluate_on_test_set(
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
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 986, in forward
return self.text_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 877, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
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 225, in forward
inputs_embeds = self.token_embedding(input_ids)
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/sparse.py", line 164, in forward
return F.embedding(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
[rank1]: Traceback (most recent call last):
[rank1]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
[rank1]: main()
[rank1]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
[rank1]: test_loss = evaluate_on_test_set(
[rank1]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
[rank1]: encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
[rank1]: 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
[rank1]: return self._call_impl(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank1]: return forward_call(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 986, in forward
[rank1]: return self.text_model(
[rank1]: 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
[rank1]: return self._call_impl(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank1]: return forward_call(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 877, in forward
[rank1]: hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
[rank1]: 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
[rank1]: return self._call_impl(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank1]: return forward_call(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 225, in forward
[rank1]: inputs_embeds = self.token_embedding(input_ids)
[rank1]: 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
[rank1]: return self._call_impl(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank1]: return forward_call(*args, **kwargs)
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/sparse.py", line 164, in forward
[rank1]: return F.embedding(
[rank1]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
[rank1]: return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
[rank1]: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:1 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
main()
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
test_loss = evaluate_on_test_set(
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
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 986, in forward
return self.text_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 877, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
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 225, in forward
inputs_embeds = self.token_embedding(input_ids)
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/sparse.py", line 164, in forward
return F.embedding(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:2 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
[rank2]: Traceback (most recent call last):
[rank2]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
[rank2]: main()
[rank2]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
[rank2]: test_loss = evaluate_on_test_set(
[rank2]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
[rank2]: encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
[rank2]: 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
[rank2]: return self._call_impl(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank2]: return forward_call(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 986, in forward
[rank2]: return self.text_model(
[rank2]: 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
[rank2]: return self._call_impl(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank2]: return forward_call(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 877, in forward
[rank2]: hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
[rank2]: 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
[rank2]: return self._call_impl(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank2]: return forward_call(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 225, in forward
[rank2]: inputs_embeds = self.token_embedding(input_ids)
[rank2]: 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
[rank2]: return self._call_impl(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank2]: return forward_call(*args, **kwargs)
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/sparse.py", line 164, in forward
[rank2]: return F.embedding(
[rank2]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
[rank2]: return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
[rank2]: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:2 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
Traceback (most recent call last):
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
main()
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
test_loss = evaluate_on_test_set(
File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
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 986, in forward
return self.text_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 877, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
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 225, in forward
inputs_embeds = self.token_embedding(input_ids)
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/sparse.py", line 164, in forward
return F.embedding(
File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:3 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
[rank3]: Traceback (most recent call last):
[rank3]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 2025, in <module>
[rank3]: main()
[rank3]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1778, in main
[rank3]: test_loss = evaluate_on_test_set(
[rank3]: File "/fs/nexus-scratch/sjxu/svd-temporal-controlnet/train_svd_controlnet.py", line 1418, in evaluate_on_test_set
[rank3]: encoder_hidden_states_t = text_encoder(batch["input_ids"])[0]
[rank3]: 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
[rank3]: return self._call_impl(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank3]: return forward_call(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 986, in forward
[rank3]: return self.text_model(
[rank3]: 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
[rank3]: return self._call_impl(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank3]: return forward_call(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 877, in forward
[rank3]: hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
[rank3]: 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
[rank3]: return self._call_impl(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank3]: return forward_call(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/transformers/models/clip/modeling_clip.py", line 225, in forward
[rank3]: inputs_embeds = self.token_embedding(input_ids)
[rank3]: 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
[rank3]: return self._call_impl(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl
[rank3]: return forward_call(*args, **kwargs)
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/modules/sparse.py", line 164, in forward
[rank3]: return F.embedding(
[rank3]: File "/fs/nexus-scratch/sjxu/miniconda3/envs/svd_control/lib/python3.9/site-packages/torch/nn/functional.py", line 2267, in embedding
[rank3]: return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
[rank3]: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:3 and cpu! (when checking argument for argument index in method wrapper_CUDA__index_select)
W0113 13:18:44.608782 140020945478400 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 1265904 closing signal SIGTERM
W0113 13:18:44.609126 140020945478400 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 1265906 closing signal SIGTERM
W0113 13:18:44.609207 140020945478400 torch/distributed/elastic/multiprocessing/api.py:858] Sending process 1265907 closing signal SIGTERM
E0113 13:18:45.023548 140020945478400 torch/distributed/elastic/multiprocessing/api.py:833] failed (exitcode: 1) local_rank: 1 (pid: 1265905) 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_13:18:44
host : gammagpu10.umiacs.umd.edu
rank : 1 (local_rank: 1)
exitcode : 1 (pid: 1265905)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: gammagpu10: task 3: Exited with exit code 1