极客观点
项目管理
HarmonyOS
我正在尝试使用 PyTorch 执行名为 “训练分类器” 的教程。当尝试调试这部分代码时：
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
本教程中的所有前面几行都运行良好。
有人知道如何解决这个问题吗？非常感谢
原文由 Clém Grt 发布，翻译遵循 CC BY-SA 4.0 许可协议
这看起来不是 PyTorch 问题。尝试在 Jupyter 笔记本和其他环境故障排除中执行代码。