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Hello!
I'm currently getting this error when I try to run train.py: Traceback (most recent call last): File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 288, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\dev\HyperNetworks\train.py", line 80, in <module> for d in enumerate(trainset_loader): File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 435, in __iter__ return self._get_iterator() File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 381, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 1034, in __init__ w.start() File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\context.py", line 327, in _Popen return Popen(process_obj) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__ prep_data = spawn.get_preparation_data(process_obj._name) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 154, in get_preparation_data _check_not_importing_main() File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 134, in _check_not_importing_main raise RuntimeError(''' 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. python-BaseException
And it breaks when it gets to iterate through the train dataloader.
Thank you!
The text was updated successfully, but these errors were encountered:
Hello!
I'm currently getting this error when I try to run train.py:
Traceback (most recent call last): File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 125, in _main prepare(preparation_data) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 236, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path main_content = runpy.run_path(main_path, File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 288, in run_path return _run_module_code(code, init_globals, run_name, File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 97, in _run_module_code _run_code(code, mod_globals, init_globals, File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\dev\HyperNetworks\train.py", line 80, in <module> for d in enumerate(trainset_loader): File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 435, in __iter__ return self._get_iterator() File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 381, in _get_iterator return _MultiProcessingDataLoaderIter(self) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\utils\data\dataloader.py", line 1034, in __init__ w.start() File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\process.py", line 121, in start self._popen = self._Popen(self) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\context.py", line 224, in _Popen return _default_context.get_context().Process._Popen(process_obj) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\context.py", line 327, in _Popen return Popen(process_obj) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\popen_spawn_win32.py", line 45, in __init__ prep_data = spawn.get_preparation_data(process_obj._name) File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 154, in get_preparation_data _check_not_importing_main() File "C:\Users\raho272696\AppData\Local\Programs\Python\Python39\lib\multiprocessing\spawn.py", line 134, in _check_not_importing_main raise RuntimeError(''' 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. python-BaseException
And it breaks when it gets to iterate through the train dataloader.
Thank you!
The text was updated successfully, but these errors were encountered: