Python 如何在层之间添加任意函数

!!! I am just starting to understand PyTorch !!!个

假设该模型具有以下体系 struct :

(conv1): Conv2d(2, 6, kernel_size=(5, 5), stride=(1, 1))
(pool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
(conv2): Conv2d(6, 16, kernel_size=(5, 5), stride=(1, 1))
(fc1): Linear(in_features=256, out_features=120, bias=True)
(fc2): Linear(in_features=120, out_features=84, bias=True)
(fc3): Linear(in_features=84, out_features=10, bias=True)

例如，我应该怎么做才能在Conv1和Pool层之间添加一些MyFunction？

以下是我当前的代码:

class CNN(Module):
    def __init__(self) -> None:
        super(CNN, self).__init__()
        self.cnn_layer = Sequential(
            Conv2d(in_channels=2, out_channels=6, kernel_size=5),
            # MyFunction here
            ReLU(inplace=True),
            MaxPool2d(kernel_size=2, stride=2),
        )
        self.linear_layers = Sequential(
            Linear(256, 120), Linear(120, 84), Linear(84, 10)
        )

    def forward(self, image):
        image = self.cnn_layer(image)

        image = image.view(-1, 4 * 4 * 16)
        image = self.linear_layers(image)
        return image