yewzijian
commented
3 years ago Hi,
I'm not sure what is happening but the problem seems to be due to multiprocessing. Can you try setting num_workers=0 in the program arguments to see if you can avoid the problem?
Zi Jian
HyungJoo-Kwon
I don't know why the error is happening. Please help me.
Traceback (most recent call last): File "train.py", line 291, in
main()
File "train.py", line 43, in main
run(train_set, val_set)
File "train.py", line 253, in run
for train_data in train_loader:
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\site-packages\torch\utils\data\dataloader.py", line 278, in iter
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\site-packages\torch\utils\data\dataloader.py", line 682, in init
w.start()
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\multiprocessing\popen_spawn_win32.py", line 65, in init
reduction.dump(process_obj, to_child)
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\multiprocessing\reduction.py", line 62, in dump
ForkingPickler(file, protocol).dump(obj)
TypeError: can't pickle _thread.RLock objects
Additionally, the error occurred as above.
Traceback (most recent call last): File "", line 1, in
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\for\anaconda3\envs\rpmnet_test\lib\multiprocessing\spawn.py", line 116, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input