Question

我正在通过使用Fast.AI/Pytorch在Windows中创建CNN来练习机器学习技能。我已经成功创建并初始化了我的数据集，但是当我尝试对其进行训练或寻找学习速度时，会出现BrokenPipeError。

...
learn = cnn_learner(data, models.resnet34, metrics = error_rate) #We're fine here

#Now either line of code will throw the same error.
learn.fit_one_cycle(1)
learn.lr_find()
...

这是我得到的具体错误。

Traceback (most recent call last):

  File "<ipython-input-34-4d78bfcf8d69>", line 1, in <module>
    runfile('C:/Users/.../Desktop/Homebrew AI/image_test.py', wdir='C:/Users/.../Desktop/Homebrew AI')

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 786, in runfile
    execfile(filename, namespace)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

  File "C:/Users/.../Desktop/Homebrew AI/image_test.py", line 36, in <module>
    learn.lr_find()

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\fastai\train.py", line 32, in lr_find
    learn.fit(epochs, start_lr, callbacks=[cb], wd=wd)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\fastai\basic_train.py", line 200, in fit
    fit(epochs, self, metrics=self.metrics, callbacks=self.callbacks+callbacks)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\fastai\basic_train.py", line 99, in fit
    for xb,yb in progress_bar(learn.data.train_dl, parent=pbar):

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\fastprogress\fastprogress.py", line 72, in __iter__
    for i,o in enumerate(self._gen):

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\fastai\basic_data.py", line 75, in __iter__
    for b in self.dl: yield self.proc_batch(b)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 193, in __iter__
    return _DataLoaderIter(self)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\site-packages\torch\utils\data\dataloader.py", line 469, in __init__
    w.start()

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\multiprocessing\process.py", line 112, in start
    self._popen = self._Popen(self)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\multiprocessing\context.py", line 223, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\multiprocessing\popen_spawn_win32.py", line 89, in __init__
    reduction.dump(process_obj, to_child)

  File "C:\Users\...\AppData\Local\Continuum\anaconda3\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)

BrokenPipeError: [Errno 32] Broken pipe

我假设它可能与Windows有关？解决此问题的任何帮助都将有所帮助。

Answer 1

事实证明，PyTorch和Windows 1.0.4版本在多线程方面发生了一些时髦的事情。将PyTorch的版本降级到1.0.0可以解决此问题。

使用Fast.AI查找学习率/训练时出现BrokenPipeError

1 个答案: