添加的位置一般是在最后一个卷积层之后是吗？这样不影响预训练权重？

[lmqhello]

举个例子：

def` __init__(self, num_classes=-1):
       super(AlexNet, self).__init__()
       self.num_classes = num_classes
       self.features = nn.Sequential(
           nn.Conv2d(3, 64, kernel_size=11, stride=4, padding=2),
           nn.ReLU(inplace=True),
           nn.MaxPool2d(kernel_size=3, stride=2),
           nn.Conv2d(64, 192, kernel_size=5, padding=2),
           nn.ReLU(inplace=True),
           nn.MaxPool2d(kernel_size=3, stride=2),
           nn.Conv2d(192, 384, kernel_size=3, padding=1),
           nn.ReLU(inplace=True),
           nn.Conv2d(384, 256, kernel_size=3, padding=1),
           nn.ReLU(inplace=True),
           nn.Conv2d(256, 256, kernel_size=3, padding=1),
           nn.ReLU(inplace=True),
           nn.MaxPool2d(kernel_size=3, stride=2),
       )
    
     self.se = SEAttention(channel=256,reduction=64)

       if self.num_classes > 0:
           self.classifier = nn.Sequential( 
               nn.Dropout(),
               nn.Linear(256 * 6 * 6, 4096),
               nn.ReLU(inplace=True),
               nn.Dropout(),
               nn.Linear(4096, 4096),
               nn.ReLU(inplace=True),
               nn.Linear(4096, num_classes),
           )
       
       
   def forward(self, x):
       x = self.features(x)
       x=self.se(x)
       if self.num_classes > 0:
           x = x.view(x.size(0), 256 * 6 * 6)
           x = self.classifier(x)

       return (x, )
```

这样添加是没有问题的对吗？按照意思实际上SE模块添加在最后一个卷积层池化之后的位置是吗？