When you run pytorch on the windows, little attention will encounter freeze_support () error. Resolve such errors as long as the code into if name == "main": running on it. I could not help but to go into this question.
This is a windows multi-process implementation Bryant. On the windows, the child will automatically import this file to start it, but when the import is automatically executes these statements. If not __main__ restriction of, infinite recursion will create a child process, then an error. Then import when using the name == "main" protected it.
An error occurred:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\opt\anaconda3\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\opt\anaconda3\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "D:\opt\anaconda3\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\opt\anaconda3\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "D:\opt\anaconda3\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "D:\opt\anaconda3\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "D:\opt\anaconda3\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "D:\ML_Study\PyTorch-garbage-classify\garbage-classification-using-pytorch.py", line 59, in <module>
image,label = next(iter(train_loader))
File "D:\opt\anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 819, in __iter__
return _DataLoaderIter(self)
File "D:\opt\anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 560, in __init__
w.start()
File "D:\opt\anaconda3\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\opt\anaconda3\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\opt\anaconda3\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\opt\anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "D:\opt\anaconda3\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "D:\opt\anaconda3\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.
solution:
if __name__ == '__main__':
# 代码
Experimental perfect solution in the above manner, I said here at the experimental version
In [1]: import torch
In [2]: import torchvision
In [3]: torch.version
Out[3]: ‘1.0.1’
In [4]: torchvision.version
Out[4]: ‘0.2.2’
