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厉害了。。。。用win10特有的bug????????搞半天,就是把pytorch下dataloader的其中一个num_workers参数注释掉。可能是win10只有一个thread的原因。
torch.utils.data.DataLoader( self.dataset, # dataset class batch_size=opt.batchSize, # how many samples/batch to load shuffle=not opt.serial_batches) # reshuffle per epoch #num_workers=int(opt.nThreads)) #modified by jin
RuntimeError: DataLoader worker (pid(s) 27292) exited unexpectedly
console具体输出:
D:\Anaconda\envs\gpu-env\python.exe "G:/pycharm Project/DualResidualNetworks-master/test/noise.py"
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "D:\Anaconda\envs\gpu-env\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "D:\Anaconda\envs\gpu-env\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "D:\Anaconda\envs\gpu-env\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "G:\pycharm Project\DualResidualNetworks-master\test\noise.py", line 91, in <module>
for i, data in enumerate(dataloader):
File "D:\Anaconda\envs\gpu-env\lib\site-packages\torch\utils\data\dataloader.py", line 278, in __iter__
return _MultiProcessingDataLoaderIter(self)
File "D:\Anaconda\envs\gpu-env\lib\site-packages\torch\utils\data\dataloader.py", line 682, in __init__
w.start()
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\popen_spawn_win32.py", line 46, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
Traceback (most recent call last):
File "D:\Anaconda\envs\gpu-env\lib\site-packages\torch\utils\data\dataloader.py", line 724, in _try_get_data
data = self.data_queue.get(timeout=timeout)
File "D:\Anaconda\envs\gpu-env\lib\multiprocessing\queues.py", line 105, in get
raise Empty
_queue.Empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "G:/pycharm Project/DualResidualNetworks-master/test/noise.py", line 91, in <module>
for i, data in enumerate(dataloader):
File "D:\Anaconda\envs\gpu-env\lib\site-packages\torch\utils\data\dataloader.py", line 804, in __next__
idx, data = self._get_data()
File "D:\Anaconda\envs\gpu-env\lib\site-packages\torch\utils\data\dataloader.py", line 771, in _get_data
success, data = self._try_get_data()
File "D:\Anaconda\envs\gpu-env\lib\site-packages\torch\utils\data\dataloader.py", line 737, in _try_get_data
raise RuntimeError('DataLoader worker (pid(s) {}) exited unexpectedly'.format(pids_str))
RuntimeError: DataLoader worker (pid(s) 17260) exited unexpectedly
Process finished with exit code 1
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Solution:
将numworkers = 1注释掉。
即,由
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num_workers = 1
dataloader = DataLoader(convertor, batch_size=1, shuffle=False, num_workers=num_workers)
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改为
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# num_workers = 1
# dataloader = DataLoader(convertor, batch_size=1, shuffle=False, num_workers=num_workers)
dataloader = DataLoader(convertor, batch_size=1, shuffle=False)
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