小编Har*_*nen的帖子

我从一个教程中构建了一个简单的网络，但出现此错误：

RuntimeError：类型为torch.cuda.FloatTensor的预期对象，但为参数＃4'mat1'找到类型为torch.FloatTensor的对象

有什么帮助吗？谢谢！

import torch
import torchvision

device = torch.device("cuda:0")
root = '.data/'

dataset = torchvision.datasets.MNIST(root, transform=torchvision.transforms.ToTensor(), download=True)

dataloader = torch.utils.data.DataLoader(dataset, batch_size=4)


class Net(torch.nn.Module):
    def __init__(self):
        super(Net, self).__init__()
        self.out = torch.nn.Linear(28*28, 10)

    def forward(self, x):
        x = x.view(x.size(0), -1)
        x = self.out(x)
        return x

net = Net()
net.to(device)

for i, (inputs, labels) in enumerate(dataloader):
    inputs.to(device)
    out = net(inputs)