You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
hi ! where could i find trainlist01.txt ?
i just find a txt file online but it cause the bellow failure : training... [W reducer.cpp:1289] 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()) [W reducer.cpp:1289] 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()) [W reducer.cpp:1289] 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()) [W reducer.cpp:1289] 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()) 23-12-18 16:18:50.247 - INFO: epoch:0 0/596 time:0.41+3.07 loss_avg:4.9189e-01 23-12-18 16:18:51.640 - INFO: epoch:0 1/596 time:0.00+1.39 loss_avg:7.2363e-01 23-12-18 16:18:53.031 - INFO: epoch:0 2/596 time:0.01+1.39 loss_avg:6.6269e-01 Traceback (most recent call last): File "/data/zhoulei/Project/CVPR2023-DMVFN/./scripts/train.py", line 216, in <module> train(model, args) File "/data/zhoulei/Project/CVPR2023-DMVFN/./scripts/train.py", line 95, in train for i, data in enumerate(train_data): File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 530, in __next__ data = self._next_data() File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1224, in _next_data return self._process_data(data) File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1250, in _process_data data.reraise() File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/_utils.py", line 457, in reraise raise exception FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 3. Original Traceback (most recent call last): File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 49, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/data/zhoulei/Project/CVPR2023-DMVFN/dataset/dataset.py", line 285, in __getitem__ imgs = self.getimg(index) File "/data/zhoulei/Project/CVPR2023-DMVFN/dataset/dataset.py", line 272, in getimg frame_list = sorted(os.listdir(os.path.join(self.path, video_path))) FileNotFoundError: [Errno 2] No such file or directory: '/data/zhoulei/Data/ucf101_jpegs_256/v_HandStandPushups_g14_c01'
The text was updated successfully, but these errors were encountered:
hi ! where could i find trainlist01.txt ?
i just find a txt file online but it cause the bellow failure :
training... [W reducer.cpp:1289] 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()) [W reducer.cpp:1289] 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()) [W reducer.cpp:1289] 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()) [W reducer.cpp:1289] 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()) 23-12-18 16:18:50.247 - INFO: epoch:0 0/596 time:0.41+3.07 loss_avg:4.9189e-01 23-12-18 16:18:51.640 - INFO: epoch:0 1/596 time:0.00+1.39 loss_avg:7.2363e-01 23-12-18 16:18:53.031 - INFO: epoch:0 2/596 time:0.01+1.39 loss_avg:6.6269e-01 Traceback (most recent call last): File "/data/zhoulei/Project/CVPR2023-DMVFN/./scripts/train.py", line 216, in <module> train(model, args) File "/data/zhoulei/Project/CVPR2023-DMVFN/./scripts/train.py", line 95, in train for i, data in enumerate(train_data): File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 530, in __next__ data = self._next_data() File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1224, in _next_data return self._process_data(data) File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 1250, in _process_data data.reraise() File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/_utils.py", line 457, in reraise raise exception FileNotFoundError: Caught FileNotFoundError in DataLoader worker process 3. Original Traceback (most recent call last): File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop data = fetcher.fetch(index) File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/data/zhoulei/anaconda3/envs/waldo/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py", line 49, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/data/zhoulei/Project/CVPR2023-DMVFN/dataset/dataset.py", line 285, in __getitem__ imgs = self.getimg(index) File "/data/zhoulei/Project/CVPR2023-DMVFN/dataset/dataset.py", line 272, in getimg frame_list = sorted(os.listdir(os.path.join(self.path, video_path))) FileNotFoundError: [Errno 2] No such file or directory: '/data/zhoulei/Data/ucf101_jpegs_256/v_HandStandPushups_g14_c01'
The text was updated successfully, but these errors were encountered: