Sorry, you’re right! I did it wrong before reshape.
 def forward(self, x):
        # Max pooling over a (2, 2) window
        x = F.max_pool2d(F.relu(self.conv1(x)), (2, 2))
        # If the size is a square you can only specify a single number
        x = F.max_pool2d(F.relu(self.conv2(x)), 2)
        #print(x.shape)
        x = x.view(x.shape[0], -1)
        print(x.shape)
        x = F.relu(self.fc1(x))
        x = F.relu(self.fc2(x))
        x = self.fc3(x)
        return x

The print result is torch.Size([128, 46656]).