class MyNet(nn.Module):
    def __init__(self):
        super().__init__() 
        self.conv1 = nn.Conv2d(
            in_channels=1,
            out_channels=6,
            kernel_size=5,
            stride=1,
            padding=0
        )
        self.avg_pool_1 = nn.AvgPool2d(2)
        self.conv2 = nn.Conv2d(
            in_channels=6,
            out_channels=16,
            kernel_size=5,
            stride=1,
            padding=0
        )
        self.avg_pool_2 = nn.AvgPool2d(2)
        self.fc1 = nn.Linear(
            in_features=256,  
            out_features=120
        )
        self.fc2 = nn.Linear(
            in_features=120,
            out_features=84
        )
        self.fc3 = nn.Linear(
            in_features=84,
            out_features=10
        )
    def forward(self, x):
        x = self.conv1(x)
        x = self.avg_pool_1(x)
        x = self.conv2(x)
        x = self.avg_pool_2(x)
        x = torch.flatten(x, 1)  # ! [B,C,H,W]
        x = self.fc1(x)
        x = self.fc2(x)
        out = self.fc3(x)
        return out
LeNet模型结果如下：

全连接模型结果如下：