ghost
commented
4 years ago It is easy. 1.In 'mainpro_FER.py' line 58,60&62, use"num_workers=0" instead Then you will meet another error:'invalid index of a 0-dim tensor. Use tensor.item() to convert a 0-dim tensor to a Python number' 2.In 'mainpro_FER.py' line 119,147&188, use"train_loss += loss.item()" instead
Traceback (most recent call last): File "mainpro_FER.py", line 223, in
main()
File "mainpro_FER.py", line 214, in main
train(epoch)
File "mainpro_FER.py", line 108, in train
for batch_idx, (inputs, targets) in enumerate(trainloader):
File "C:\Users\guntu\Anaconda3\envs\project\lib\site-packages\torch\utils\data\dataloader.py", line 279, in iter
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\guntu\Anaconda3\envs\project\lib\site-packages\torch\utils\data\dataloader.py", line 719, in init
w.start()
File "C:\Users\guntu\Anaconda3\envs\project\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\guntu\Anaconda3\envs\project\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\guntu\Anaconda3\envs\project\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\guntu\Anaconda3\envs\project\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "C:\Users\guntu\Anaconda3\envs\project\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
File "C:\Users\guntu\Anaconda3\envs\project\lib\site-packages\h5py_hl\base.py", line 308, in getnewargs
raise TypeError("h5py objects cannot be pickled")
TypeError: h5py objects cannot be pickled
can someone guide me through this error?