onnx_graph.py 文件源码

def forward(self, x):
        x = F.max_pool2d(self.conv1(x), 2)
        x = F.relu(x)+F.relu(-x)
        x = F.relu(F.max_pool2d(self.conv2_drop(self.conv2(x)), 2))
        x = self.bn(x)
        x = x.view(-1, 320)
        x = F.relu(self.fc1(x))
        x = F.dropout(x, training=self.training)
        x = self.fc2(x)
        x = F.log_softmax(x)
        return x