for epoch in range(nums_epoch):
_loss = 0.0
for i, (inputs, labels) in enumerate(trainloader, 0):
device=torch.device("cpu")
inputs, labels = inputs.to(device), labels.to(device)
optimizer.zero_grad()
outputs = net(inputs)
loss = criterion(outputs, labels)
loss.backward()
optimizer.step()
_loss += loss.item()
if i % 3000 == 2999:
print('[%d, %5d] 损失: %.3f' %
(epoch + 1, i + 1, _loss / 3000))
_loss = 0.0
print('训练结束')
NotImplementedError: Module [Net] is missing the required "forward" function
代码中net是啥
NotImplementedError: Module [Net] is missing the required "forward" function
没有相对应的模块。就是包。或者说库。你需要先安装相对应的库,然后import 这个库