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 pytorch/audio#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.