FastNeuralTransfer.py 文件源码

def forward(self, X):
        h = F.relu(self.conv1_1(X))
        h = F.relu(self.conv1_2(h))
        relu1_2 = h
        h = F.max_pool2d(h, kernel_size=2, stride=2)

        h = F.relu(self.conv2_1(h))
        h = F.relu(self.conv2_2(h))
        relu2_2 = h
        h = F.max_pool2d(h, kernel_size=2, stride=2)

        h = F.relu(self.conv3_1(h))
        h = F.relu(self.conv3_2(h))
        h = F.relu(self.conv3_3(h))
        relu3_3 = h
        h = F.max_pool2d(h, kernel_size=2, stride=2)

        h = F.relu(self.conv4_1(h))
        h = F.relu(self.conv4_2(h))
        h = F.relu(self.conv4_3(h))
        relu4_3 = h
        return [relu1_2, relu2_2, relu3_3, relu4_3]

## Weights init function