[英]multiprocessing error with pytorch on windows 10
当我尝试执行我的代码时出现以下错误,这清楚地表明它是一个多重处理错误:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
在 Linux 上,以下代码运行良好,但我想知道为什么我无法在 Windows 10 上运行它。但是,这是代码:
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.autograd import Variable
kwargs = {'num_workers': 1, 'pin_memory': True}
train_data = torch.utils.data.DataLoader(datasets.MNIST('data', train=True, download=True,
transform=transforms.Compose([transforms.ToTensor,
transforms.Normalize((0.1307,), (0.3081,))])),
batch_size=64, shuffle=True, **kwargs)
test_data = torch.utils.data.DataLoader(datasets.MNIST('data', train=False,
transform=transforms.Compose([transforms.ToTensor,
transforms.Normalize((0.1307,), (0.3081,))])),
batch_size=64, shuffle=True, **kwargs)
class Netz(nn.Module):
def __init__(self):
super(Netz, self).__init__()
self.conv1 = nn.Conv2d(1, 10, kernel_size=5)
self.conv2 = nn.Conv2d(10, 20, kernel_size=5)
self.conv_dropout = nn.Dropout2d()
self.fc1 = nn.Linear(320, 60)
self.fc2 = nn.Linear(60, 10)
def forward(self, x):
x = self.conv1(x)
x = F.max_pool2d(x, 2)
x = F.relu(x)
x = self.conv2(x)
x = self.conv_dropout(x)
x = F.max_pool2d(x, 2)
x = F.relu(x)
print(x.size())
exit()
model = Netz()
model.cuda()
optimizer = optim.SGD(model.parameters(), lr=0.1, momentum=0.8)
def train(epoch):
model.train()
for batch_id, (data, target) in enumerate(train_data):
data = data.cuda()
target = target.cuda()
data = Variable(data)
target = Variable(target)
optimizer.zero_grad()
out = model(data)
criterion = F.nll_loss
loss = criterion(out, target)
loss.backward()
optimizer.step()
print('Train Epoch: {} [{}/{} ({:.0f}%)]\tLoss: {:.6f}'.format(epoch, batch_id * len(data), len(train_data.dataset),
100. * batch_id / len(train_data), loss.data[0]))
for epoch in range(1, 30):
print(epoch)
train(epoch)
我试图用以下方法修复它:
if __name__ == '__main__':
for epoch in range(1, 30):
train(epoch)
但也没有成功。 任何人都知道我如何解决这个多处理错误? 任何帮助,将不胜感激。 (是的,我知道 pytorch 没有正式发布用于 windows,但我不认为这是导致这里错误的原因。)
谢谢!
我自己发现的。
我不得不将整个代码放入 if name == ' main ':
我也忘记了最后在 transforms.ToTensor 部分的括号。
也许num_workers = 0可以修复。
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