Error when training.

[deepakpawade]

To train I used the following command. python train.py --dataset sourcefolder --output open-unmix-512 --root data --target-dir podcasts --interferer-dirs interfer --ext .wav --nb-train-samples 1800 --nb-valid-samples 100

However I get an error saying the following : Using GPU: True 100%|███████████████████████████████████████████████████| 2/2 [00:06<00:00, 3.41s/it] 100%|███████████████████████████████████████████████████| 2/2 [00:01<00:00, 1.18it/s] Compute dataset statistics: 100%|█████████████████| 1800/1800 [00:28<00:00, 63.94it/s] 0%| | 0/113 [00:00<?, ?it/s] Training epoch: 0%| | 0/100 [00:00<?, ?it/s] Traceback (most recent call last): File "D:\InterferenceSeperation\umx_demo\scripts\train.py", line 372, in
main() File "D:\InterferenceSeperation\umx_demo\scripts\train.py", line 319, in main
train_loss = train(args, unmix, encoder, device, train_sampler, optimizer) File "D:\InterferenceSeperation\umx_demo\scripts\train.py", line 27, in train
for x, y in pbar: File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\tqdm\std.py", line 1180, in iter for obj in iterable: File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 359, in iter return self._get_iterator() File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 305, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 918, in init w.start() File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\multiprocessing\context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\multiprocessing\context.py", line 327, in _Popen return Popen(process_obj) File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\multiprocessing\popen_spawn_win32.py", line 93, in init reduction.dump(process_obj, to_child) File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) AttributeError: Can't pickle local object 'aug_from_str..' PS D:\InterferenceSeperation\umx_demo\scripts> Traceback (most recent call last): File "", line 1, in File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 116, in spawn_main exitcode = _main(fd, parent_sentinel) File "C:\Users\deepdesk\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 126, in _main self = reduction.pickle.load(from_parent) EOFError: Ran out of input

root structure: data -->train ---->interfer ---->podcasts -->valid ---->interfer ---->podcasts

[deepakpawade]

Solved by redownloading all the files again. Must have changed something somewhere and forgot about it. 😕 🥇