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20 hours ago •
pytorch
pytorch
"omit freeze_support"
I tried to train a model with the default settings but I received this "freeze_support" error. It tells me that freeze_support error needs to be omitted. I'm not sure where this function is. Any help would be appreciated.
(pytorch) D:\____Git\PyTorchSuperResolution>python main.py --upscale_factor 4 --nEpochs 50 --lr 0.001 --cuda
Namespace(batchSize=64, cuda=True, lr=0.001, nEpochs=50, seed=123, testBatchSize=10, threads=4, upscale_factor=4)
===> Loading datasets
===> Building model
Namespace(batchSize=64, cuda=True, lr=0.001, nEpochs=50, seed=123, testBatchSize=10, threads=4, upscale_factor=4)
Namespace(batchSize=64, cuda=True, lr=0.001, nEpochs=50, seed=123, testBatchSize=10, threads=4, upscale_factor=4)
Namespace(batchSize=64, cuda=True, lr=0.001, nEpochs=50, seed=123, testBatchSize=10, threads=4, upscale_factor=4)
Namespace(batchSize=64, cuda=True, lr=0.001, nEpochs=50, seed=123, testBatchSize=10, threads=4, upscale_factor=4)
===> Loading datasets
===> Building model
===> Loading datasets
===> Building model
===> Loading datasets
===> Building model
===> Loading datasets
===> Building model
Traceback (most recent call last):
Traceback (most recent call last):
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
File "<string>", line 1, in <module>
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 105, in spawn_main
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 105, in spawn_main
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 114, in _main
exitcode = _main(fd)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 114, in _main
exitcode = _main(fd)prepare(preparation_data)
prepare(preparation_data) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 114, in _main
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 225, in prepare
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 225, in prepare
prepare(preparation_data)
_fixup_main_from_path(data['init_main_from_path']) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
_fixup_main_from_path(data['init_main_from_path']) run_name="__mp_main__")
run_name="__mp_main__")
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 263, in run_path
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 263, in run_path
run_name="__mp_main__")
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
pkg_name=pkg_name, script_name=fname) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 96, in _run_module_code
pkg_name=pkg_name, script_name=fname)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 85, in _run_code
mod_name, mod_spec, pkg_name, script_name)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 85, in _run_code
exec(code, run_globals) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 85, in _run_code
exec(code, run_globals) File "D:\____Git\PyTorchSuperResolution\main.py", line 92, in <module>
exec(code, run_globals)
File "D:\____Git\PyTorchSuperResolution\main.py", line 92, in <module>
File "D:\____Git\PyTorchSuperResolution\main.py", line 92, in <module>
train(epoch)
train(epoch)train(epoch) File "D:\____Git\PyTorchSuperResolution\main.py", line 54, in train
File "D:\____Git\PyTorchSuperResolution\main.py", line 54, in train
File "D:\____Git\PyTorchSuperResolution\main.py", line 54, in train
for iteration, batch in enumerate(training_data_loader, 1):
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
for iteration, batch in enumerate(training_data_loader, 1):for iteration, batch in enumerate(training_data_loader, 1):
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
return DataLoaderIter(self)return DataLoaderIter(self)
return DataLoaderIter(self) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
w.start() w.start()
w.start()
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\process.py", line 105, in start
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\process.py", line 105, in start
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)self._popen = self._Popen(self)self._popen = self._Popen(self)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 223, in _Popen
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 223, in _Popen
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)return _default_context.get_context().Process._Popen(process_obj)return _default_context.get_context().Process._Popen(process_obj)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 322, in _Popen
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 322, in _Popen
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)return Popen(process_obj)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
return Popen(process_obj)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
prep_data = spawn.get_preparation_data(process_obj._name) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
prep_data = spawn.get_preparation_data(process_obj._name) File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main() File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main() File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
_check_not_importing_main()
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''') File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')RuntimeErroris 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.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.
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 "<string>", line 1, in <module>
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "D:\____Git\PyTorchSuperResolution\main.py", line 92, in <module>
train(epoch)
File "D:\____Git\PyTorchSuperResolution\main.py", line 54, in train
for iteration, batch in enumerate(training_data_loader, 1):
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
return DataLoaderIter(self)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
w.start()
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\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 "main.py", line 92, in <module>
train(epoch)
File "main.py", line 54, in train
for iteration, batch in enumerate(training_data_loader, 1):
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 275, in __next__
idx, batch = self._get_batch()
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\site-packages\torch\utils\data\dataloader.py", line 254, in _get_batch
return self.data_queue.get()
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\queues.py", line 335, in get
res = self._reader.recv_bytes()
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\connection.py", line 216, in recv_bytes
buf = self._recv_bytes(maxlength)
File "D:\Vitrual.C.Drive\Anaconda\envs\pytorch\lib\multiprocessing\connection.py", line 306, in _recv_bytes
[ov.event], False, INFINITE)
KeyboardInterrupt
Not all scripts have been updated with the required if __name__ == '__main__':
