RuntimeError: DataLoader worker (pid(s) 24632, 26892, 10480, 2964) exited unexpectedly

错误提示：

 

 错误原因：torch.utils.data.DataLoader中的num_workers错误将num_workers改为0即可，0是默认值。num_workers是用来指定开多进程的数量，默认值为0，表示不启用多进程。若：将num_workers设置为0，程序报错，并提示设置环境变量KMP_DUPLICATE_LIB_OK=TRUE那你可以在设置环境变量KMP_DUPLICATE_LIB_OK=TRUE或者使用临时环境变量：（在代码开始处添加这行代码）

os.environ['KMP_DUPLICATE_LIB_OK'] = 'TRUE'

原代码：

# Training dataset
train_loader = torch.utils.data.DataLoader(
    datasets.MNIST(root='.', train=True, download=True,
                   transform=transforms.Compose([
                       transforms.ToTensor(),
                       transforms.Normalize((0.1307,), (0.3081,))
                   ])), batch_size=64, shuffle=True, num_workers=4)
# Test dataset
test_loader = torch.utils.data.DataLoader(
    datasets.MNIST(root='.', train=False, transform=transforms.Compose([
        transforms.ToTensor(),
        transforms.Normalize((0.1307,), (0.3081,))
    ])), batch_size=64, shuffle=True, num_workers=4)

修改代码：

# Training dataset
train_loader = torch.utils.data.DataLoader(
    datasets.MNIST(root='.', train=True, download=True,
                   transform=transforms.Compose([
                       transforms.ToTensor(),
                       transforms.Normalize((0.1307,), (0.3081,))
                   ])), batch_size=64, shuffle=True, num_workers=0)
# Test dataset
test_loader = torch.utils.data.DataLoader(
    datasets.MNIST(root='.', train=False, transform=transforms.Compose([
        transforms.ToTensor(),
        transforms.Normalize((0.1307,), (0.3081,))
    ])), batch_size=64, shuffle=True, num_workers=0)