Pytorch: RuntimeError: freeze_support()
- OS:
windows 10 - PyTorch version:
0.3.1.post2 - How you installed PyTorch (conda, pip, source):
conda install -c peterjc123 pytorch-cpu Python version:
3.5.4
Error Message:
C:\Install\Anaconda3\envs\ame\python.exe C:/DeepLearning/InPytorch/torch_CNN.py
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 106, in spawn_main
exitcode = _main(fd)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 115, in _main
prepare(preparation_data)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 226, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 278, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\DeepLearning\InPytorch\torch_CNN.py", line 69, in <module>
for i,(batch_x,batch_y) in enumerate(train_loader):
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
return DataLoaderIter(self)
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
w.start()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\popen_spawn_win32.py", line 34, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 144, in get_preparation_data
_check_not_importing_main()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 137, 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 "<string>", line 1, in <module>
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 106, in spawn_main
exitcode = _main(fd)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 115, in _main
prepare(preparation_data)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 226, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 278, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\DeepLearning\InPytorch\torch_CNN.py", line 69, in <module>
for i,(batch_x,batch_y) in enumerate(train_loader):
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
return DataLoaderIter(self)
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
w.start()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\popen_spawn_win32.py", line 34, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 144, in get_preparation_data
Traceback (most recent call last):
File "<string>", line 1, in <module>
_check_not_importing_main()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 137, in _check_not_importing_main
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 106, in spawn_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.
exitcode = _main(fd)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 115, in _main
prepare(preparation_data)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 226, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 278, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\DeepLearning\InPytorch\torch_CNN.py", line 69, in <module>
for i,(batch_x,batch_y) in enumerate(train_loader):
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
return DataLoaderIter(self)
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
w.start()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\popen_spawn_win32.py", line 34, in __init__
Traceback (most recent call last):
File "<string>", line 1, in <module>
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 144, in get_preparation_data
_check_not_importing_main()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 137, in _check_not_importing_main
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 106, in spawn_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.
exitcode = _main(fd)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 115, in _main
prepare(preparation_data)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 226, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 278, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Install\Anaconda3\envs\ame\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\DeepLearning\InPytorch\torch_CNN.py", line 69, in <module>
for i,(batch_x,batch_y) in enumerate(train_loader):
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 417, in __iter__
return DataLoaderIter(self)
File "C:\Install\Anaconda3\envs\ame\lib\site-packages\torch\utils\data\dataloader.py", line 234, in __init__
w.start()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 212, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\context.py", line 313, in _Popen
return Popen(process_obj)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\popen_spawn_win32.py", line 34, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 144, in get_preparation_data
_check_not_importing_main()
File "C:\Install\Anaconda3\envs\ame\lib\multiprocessing\spawn.py", line 137, 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.
- about me
Even though I use:
torch.multiprocessing.freeze_support()
UlionTse
All 30 comments
Now that's okay!
def run():
torch.multiprocessing.freeze_support()
print('loop')
if __name__ == '__main__':
run()
@shinalone Actually you can remove the freeze_support line but the if __name__ == '__main__:' is necessary.
peterjc123
on 18 Mar 2018
Yeah, thank you, @peterjc123 author of pytorch for windows. But When will pytorch for windows be official version?
UlionTse
on 18 Mar 2018
@shinalone It's planned to be released in the next version. Hope you will like it.
peterjc123
on 18 Mar 2018
@peterjc123 Cheers!
UlionTse
on 18 Mar 2018
Close this please.
peterjc123
on 10 May 2018
Hello, please help me
I had a problem with installing pytorch, Win 8.1, Python 3.6, PyCharm 2017.3.3 x64
I saw you had such a problem, how did you solve it?
Traceback (most recent last call last):
File "
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ spawn.py", line 105, in spawn_main
exitcode = _main (fd)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ spawn.py", line 114, in _main
prepare (preparation_data)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ spawn.py", line 225, in prepare
_fixup_main_from_path (data ['init_main_from_path'])
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ spawn.py", line 277, in _fixup_main_from_path
run_name = "__ mp_main__")
File "C: \ ProgramData \ Miniconda3 \ lib \ runpy.py", line 263, in run_path
pkg_name = pkg_name, script_name = fname)
File "C: \ ProgramData \ Miniconda3 \ lib \ runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C: \ ProgramData \ Miniconda3 \ lib \ runpy.py", line 85, in _run_code
exec (code, run_globals)
File "C: \ Users \ DmitrySony \ PycharmProjects \ PyTorch \ Torch1.py", line 35, in
dataiter = iter (trainloader)
File "C: \ ProgramData \ Miniconda3 \ lib \ site-packages \ torch \ utils \ data \ dataloader.py", line 451, in __iter__
return _DataLoaderIter (self)
File "C: \ ProgramData \ Miniconda3 \ lib \ site-packages \ torch \ utils \ data \ dataloader.py", line 239, in __init__
w.start ()
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ process.py", line 105, in start
self._popen = self._Popen (self)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ context.py", line 223, in _Popen
return _default_context.get_context (). Process._Popen (process_obj)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ context.py", line 322, in _Popen
return Popen (process_obj)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ popen_spawn_win32.py", line 33, in __init__
prep_data = spawn.get_preparation_data (process_obj._name)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ spawn.py", line 143, in get_preparation_data
_check_not_importing_main ()
File "C: \ ProgramData \ Miniconda3 \ 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 is 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.
Traceback (most recent last call last):
File "C: /Users/DmitrySony/PycharmProjects/PyTorch/Torch1.py", line 35, in
dataiter = iter (trainloader)
File "C: \ ProgramData \ Miniconda3 \ lib \ site-packages \ torch \ utils \ data \ dataloader.py", line 451, in __iter__
return _DataLoaderIter (self)
File "C: \ ProgramData \ Miniconda3 \ lib \ site-packages \ torch \ utils \ data \ dataloader.py", line 239, in __init__
w.start ()
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ process.py", line 105, in start
self._popen = self._Popen (self)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ context.py", line 223, in _Popen
return _default_context.get_context (). Process._Popen (process_obj)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ context.py", line 322, in _Popen
return Popen (process_obj)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ popen_spawn_win32.py", line 65, in __init__
reduction.dump (process_obj, to_child)
File "C: \ ProgramData \ Miniconda3 \ lib \ multiprocessing \ reduction.py", line 60, in dump
ForkingPickler (file, protocol) .dump (obj)
BrokenPipeError: [Errno 32] Broken pipe
Process finished with exit code 1
dimamillion
on 15 Jul 2018
Have you tried the guidance in the error messagE:
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This is 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.
ezyang
on 15 Jul 2018
Hi . I added, but still an error?
.....
def run():
torch.multiprocessing.freeze_support()
print('loop')
if __name__ == '__main__':
freeze_support() %--- here
def _check_not_importing_main():
if getattr(process.current_process(), '_inheriting', False):
raise 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:
.......
dimamillion
on 16 Jul 2018
@dimamillion Add it to your code, not the Python internal code.
peterjc123
on 16 Jul 2018
Hi, Now it works but does not show the picture as in tutorials
please tell me why does not the picture
image in /data
Out
Files already downloaded and verified
Files already downloaded and verified
bird ship car deer
my code is
import torch
import torchvision
import torchvision.transforms as transforms
from multiprocessing import Process, freeze_support
if __name__ == '__main__':
transform = transforms.Compose(
[transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
trainset = torchvision.datasets.CIFAR10(root='./data', train=True,
download=True, transform=transform)
trainloader = torch.utils.data.DataLoader(trainset, batch_size=4,
shuffle=True, num_workers=2)
testset = torchvision.datasets.CIFAR10(root='./data', train=False,
download=True, transform=transform)
testloader = torch.utils.data.DataLoader(testset, batch_size=4,
shuffle=False, num_workers=2)
classes = ('plane', 'car', 'bird', 'cat',
'deer', 'dog', 'frog', 'horse', 'ship', 'truck')
import matplotlib.pyplot as plt
import numpy as np
# functions to show an image
def imshow(img):
img = img / 2 + 0.5 # unnormalize
npimg = img.numpy()
plt.imshow(np.transpose(npimg, (1, 2, 0)))
# get some random training images
dataiter = iter(trainloader)
images, labels = dataiter.next()
# show images
imshow(torchvision.utils.make_grid(images))
# print labels
print(' '.join('%5s' % classes[labels[j]] for j in range(4)))
dimamillion
on 16 Jul 2018
@peterjc123 为啥我加上if __name__ == '__main__'就可以了？
prologueyan-hr
on 22 Aug 2018
@Prologueyan Well, it's a long story. Please refer to my article
(In Chinese) for a detailed answer.
peterjc123
on 22 Aug 2018
@peterjc123 thank you!
prologueyan-hr
on 22 Aug 2018
on windows, use the multiprocessing must in the main function, if you use it in other file, you also must use it under the if __name__ == '__main__':
duniang818
on 28 Sep 2018
@dimamillion Yeah, I had the same problem. Apparently, when you run the code from a main function, pyplot behaves a little differently. You have to actively force it to show, by adding the show command: plt.show() . I didn't need this when running it from a python console, but do when running the file as a whole.
n-is-one
on 4 Nov 2018
# functions to show an image
def imshow(img):
img = img / 2 + 0.5 # unnormalize
npimg = img.numpy()
plt.imshow(np.transpose(npimg, (1, 2, 0)))
plt.show()
you have to add the plt.show method
vcnwafor
on 11 Nov 2018
Now that's okay!
def run(): torch.multiprocessing.freeze_support() print('loop') if __name__ == '__main__': run()
I have the same error as yours.But I do not know which file you edited. I have checked spaw.py. There is no such codes there. Could you please help me？
Guo-Shuai
on 28 Dec 2018
I am dealing with this problem too. The code is here environment spec: win10, python 3.7.0, pytorch 1.0.1, installed via conda.
After I add these lines in my code, the problem is still there.
if __name__ == '__main__':
torch.multiprocessing.freeze_support()
or
def run():
torch.multiprocessing.freeze_support()
print('loop')
if __name__ == '__main__':
run()
And I tried the below:
if __name__ == '__main__':
torch.multiprocessing.freeze_support()
# Get a batch of training data
inputs, classes = next(iter(dataloaders['train']))
# Make a grid from batch
out = torchvision.utils.make_grid(inputs)
imshow(out, title=[class_names[x] for x in classes])
The result seems right. Could anyone give some explanation? Thank you!
tao-bai
on 12 Apr 2019
@shinalone Actually you can remove the freeze_support line but the
if __name__ == '__main__:'is necessary.
Above on.
UlionTse
on 12 Apr 2019
@Guo-Shuai adding the code in the beginning of your code.
tjusxh
on 28 May 2019
on windows, use the multiprocessing must in the main function, if you use it in other file, you also must use it under the if name == 'main':
that works. thanks
xhm1014
on 14 Dec 2019
hello guys I try to run this code from GitHub
https://github.com/zllrunning/Deep-Steganography
on my windows 10 but I have error
F:\project\Deep-Steganography\Deep-Steganography>python main.py
main.py:16: UserWarning: nn.init.kaiming_normal is now deprecated in favor of nn.init.kaiming_normal_.
init.kaiming_normal(m.weight.data, a=0, mode='fan_in')
F:\project\Deep-Steganography\Deep-Steganography\main.py:16: UserWarning: nn.init.kaiming_normal is now deprecated in favor of nn.init.kaiming_normal_.
init.kaiming_normal(m.weight.data, a=0, mode='fan_in')
Traceback (most recent call last):
Traceback (most recent call last):
File "main.py", line 49, in
File "
for i, (secret, cover) in enumerate(dataloader): File "C:\Program Files\Python36\lib\multiprocessing\spawn.py", line 105, in spawn_main
File "C:\Program Files\Python36\lib\site-packages\torch\utils\data\dataloader.py", line 193, in _iter_
exitcode = _main(fd)
File "C:\Program Files\Python36\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Program Files\Python36\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Program Files\Python36\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="_mp_main_")
File "C:\Program Files\Python36\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Program Files\Python36\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Program Files\Python36\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "F:\project\Deep-Steganography\Deep-Steganography\main.py", line 49, in
for i, (secret, cover) in enumerate(dataloader):
File "C:\Program Files\Python36\lib\site-packages\torch\utils\data\dataloader.py", line 193, in _iter_
return _DataLoaderIter(self)return _DataLoaderIter(self)
File "C:\Program Files\Python36\lib\site-packages\torch\utils\data\dataloader.py", line 469, in _init_
File "C:\Program Files\Python36\lib\site-packages\torch\utils\data\dataloader.py", line 469, in _init_
w.start()
File "C:\Program Files\Python36\lib\multiprocessing\process.py", line 105, in start
w.start()
File "C:\Program Files\Python36\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)self._popen = self._Popen(self)
File "C:\Program Files\Python36\lib\multiprocessing\context.py", line 223, in _Popen
File "C:\Program Files\Python36\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Program Files\Python36\lib\multiprocessing\context.py", line 322, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
return Popen(process_obj)
File "C:\Program Files\Python36\lib\multiprocessing\context.py", line 322, in _Popen
File "C:\Program Files\Python36\lib\multiprocessing\popen_spawn_win32.py", line 65, in _init_
return Popen(process_obj)
File "C:\Program Files\Python36\lib\multiprocessing\popen_spawn_win32.py", line 33, in _init_
reduction.dump(process_obj, to_child)
prep_data = spawn.get_preparation_data(process_obj._name) File "C:\Program Files\Python36\lib\multiprocessing\reduction.py", line 60, in dump
File "C:\Program Files\Python36\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Program Files\Python36\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.
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
please can any one help .....
abdallahserag
on 21 Dec 2019
I feel that this issue should not be closed - it is still happening 100% of the time on Windows on the example project:
https://pytorch.org/tutorials/beginner/blitz/cifar10_tutorial.html#sphx-glr-beginner-blitz-cifar10-tutorial-py
Cloudmersive
on 23 Apr 2020
Thank you to everyone who has helped with this issue! Adding (if __name__ = '__main__':) to the beginning of my file worked perfectly!
macildur
on 28 May 2020
OS: macOS Catalina 10.15.5 also encountered this problem 😭
ablueday
on 9 Aug 2020
I am experiencing the same error on macOS Catalina 10.15.6
TheRedCamaro30
on 19 Aug 2020
Now that's okay!
def run(): torch.multiprocessing.freeze_support() print('loop') if __name__ == '__main__': run()
请问你这个应该加在什么py文件中,是train.py吗?
which python file should i add the code in?is train.py?
my email is [email protected],please,thanks
BinchaoPeng
on 5 Oct 2020
@Prologueyan Well, it's a long story. Please refer to my article
(In Chinese) for a detailed answer.
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.
ForkingPickler(file, protocol).dump(obj)
BrokenPipeError: [Errno 32] Broken pipe
你好，我在文件中添加了“if __name__ == '__main__':”【从RuntimeError: freeze_support() · Issue #5858 · pytorch/pytorch这里过来的】，也还是报这个错，请问怎么解决？
BinchaoPeng
on 5 Oct 2020
@BinchaoPeng @TheRedCamaro30 My example codeprint('loop') means Model multi-layer training code which you write. Get it?
UlionTse
on 8 Oct 2020
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Most helpful comment
@shinalone Actually you can remove the freeze_support line but the
if __name__ == '__main__:'is necessary.