python-3.x - PyTorch-Torchvision-BrokenPipeError : [Errno 32] Broken pipe

我正在尝试使用PyTorch进行名为"Training a classifier"的教程。
尝试调试这部分代码:

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)))

我收到此错误消息:

Files already downloaded and verified Files already downloaded and verified
Files already downloaded and verified Files already downloaded and verified Traceback (most recent call last):
File "<string>", line 1, in <module>
File "D:\Anaconda\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
File "D:\Anaconda\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
File "D:\Anaconda\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
File "D:\Anaconda\lib\multiprocessing\spawn.py", line 277, in
_fixup_main_from_path
    run_name="__mp_main__")
File "D:\Anaconda\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
File "D:\Anaconda\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
File "D:\Anaconda\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
File "d:\Yggdrasil\Programmation\PyTorch\TutorialCIFAR10.py", line 36, in <module>
    dataiter = iter(trainloader)
File "D:\Anaconda\lib\site-packages\torch\utils\data\dataloader.py", line 451, in __iter__
    return _DataLoaderIter(self)
File "D:\Anaconda\lib\site-packages\torch\utils\data\dataloader.py", line 239, in __init__
    w.start()
File "D:\Anaconda\lib\multiprocessing\process.py", line 105, in start
    self._popen = self._Popen(self)
File "D:\Anaconda\lib\multiprocessing\context.py", line 223, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
File "D:\Anaconda\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
File "D:\Anaconda\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
    prep_data = spawn.get_preparation_data(process_obj._name)
File "D:\Anaconda\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
    _check_not_importing_main()
File "D:\Anaconda\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:\Yggdrasil\Programmation\PyTorch\TutorialCIFAR10.py", line 36, in <module>
    dataiter = iter(trainloader)
 File "D:\Anaconda\lib\site-packages\torch\utils\data\dataloader.py", line 451, in __iter__
    return _DataLoaderIter(self)
 File "D:\Anaconda\lib\site-packages\torch\utils\data\dataloader.py", line 239, in __init__
    w.start()
 File "D:\Anaconda\lib\multiprocessing\process.py", line 105, in start
    self._popen = self._Popen(self)
 File "D:\Anaconda\lib\multiprocessing\context.py", line 223, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)   File "D:\Anaconda\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
 File "D:\Anaconda\lib\multiprocessing\popen_spawn_win32.py", line 65, in
__init__
    reduction.dump(process_obj, to_child)
 File "D:\Anaconda\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
 BrokenPipeError: [Errno 32] Broken pipe

本教程中的所有前几行都工作正常。

请问有人知道如何解决这个问题吗？
在此先多谢

最佳答案

这似乎不是PyTorch问题。尝试执行Jupyter笔记本中的代码以及其他环境故障排除。

关于python-3.x - PyTorch-Torchvision-BrokenPipeError : [Errno 32] Broken pipe，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/50480689/