KeyError: '__getstate__'

[c1a1o1]

F:\ProgramData\Anaconda3\python.exe F:/work/VocGAN-master/trainer.py F:\ProgramData\Anaconda3\lib\site-packages\torchaudio\extension\extension.py:14: UserWarning: torchaudio C++ extension is not available. warnings.warn('torchaudio C++ extension is not available.') F:\ProgramData\Anaconda3\lib\site-packages\torchaudio\backend\utils.py:64: UserWarning: The interface of "soundfile" backend is planned to change in 0.8.0 to match that of "sox_io" backend and the current interface will be removed in 0.9.0. To use the new interface, do torchaudio.USE_SOUNDFILE_LEGACY_INTERFACE = False before setting the backend to "soundfile". Please refer to https://github.com/pytorch/audio/issues/903 for the detail. 'The interface of "soundfile" backend is planned to change in 0.8.0 to ' Generator :

Trainable Parameters: 4.714M Discriminator :

Trainable Parameters: 4.355M 2020-12-15 16:11:56,529 - INFO - Starting new training run. Validation loop: 0%| | 0/36 [00:00<?, ?it/s]F:\ProgramData\Anaconda3\lib\site-packages\torch\functional.py:516: UserWarning: stft will require the return_complex parameter be explicitly specified in a future PyTorch release. Use return_complex=False to preserve the current behavior or return_complex=True to return a complex output. (Triggered internally at ..\aten\src\ATen\native\SpectralOps.cpp:653.) normalized, onesided, return_complex) F:\ProgramData\Anaconda3\lib\site-packages\torch\functional.py:516: UserWarning: The function torch.rfft is deprecated and will be removed in a future PyTorch release. Use the new torch.fft module functions, instead, by importing torch.fft and calling torch.fft.fft or torch.fft.rfft. (Triggered internally at ..\aten\src\ATen\native\SpectralOps.cpp:590.) normalized, onesided, return_complex) g 8.2491 d 2.8965 ad 0.9612| step 0: 100%|██████████| 36/36 [00:05<00:00, 6.67it/s] Loading train data: 0%| | 0/40 [00:00<?, ?it/s] 2020-12-15 16:12:04,076 - INFO - Exiting due to exception: 'getstate' Traceback (most recent call last): File "F:\work\VocGAN-master\utils\train.py", line 81, in train (melD, audioD) in loader: File "F:\ProgramData\Anaconda3\lib\site-packages\tqdm\std.py", line 1127, in iter for obj in iterable: File "F:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 352, in iter return self._get_iterator() File "F:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 294, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "F:\ProgramData\Anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 801, in init w.start() File "F:\ProgramData\Anaconda3\lib\multiprocessing\process.py", line 112, in start self._popen = self._Popen(self) File "F:\ProgramData\Anaconda3\lib\multiprocessing\context.py", line 223, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "F:\ProgramData\Anaconda3\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "F:\ProgramData\Anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 89, in init reduction.dump(process_obj, to_child) File "F:\ProgramData\Anaconda3\lib\multiprocessing\reduction.py", line 60, in dump ForkingPickler(file, protocol).dump(obj) KeyError: 'getstate'

[mumusanren]

Have you solved this problem? I am having the same problem.