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PyTorch快速入门教程【小土堆】之Sequential使用和小实战

article 2025/1/4 4:20:48

视频地址神经网络-搭建小实战和Sequential的使用_哔哩哔哩_bilibili

from torch import nn
from torch.nn import Conv2d, MaxPool2d, Flatten, Linear, Sequential


class Tudui(nn.Module):
    def __init__(self):
        super(Tudui, self).__init__()
        # self.conv1 = Conv2d(3, 32, 5, padding=2)
        # self.maxpool1 = MaxPool2d(2)
        # self.conv2 = Conv2d(32, 32, 5, padding=2)
        # self.maxpool2 = MaxPool2d(2)
        # self.conv3 = Conv2d(32, 64, 5, padding=2)
        # self.maxpool3 = MaxPool2d(2)
        # self.flatten = Flatten()
        # self.linear2 = Linear(64, 10)
        # self.linear1 = Linear(1024, 64)

        self.model1 = Sequential(Conv2d(3, 32, 5, padding=2),
                                 MaxPool2d(2),
                                 Conv2d(32, 32, 5, padding=2),
                                 MaxPool2d(2),
                                 Conv2d(32, 64, 5, padding=2),
                                 MaxPool2d(2),
                                 Flatten(),
                                 Linear(1024, 64),
                                 Linear(64, 10))

    def forward(self, x):
        # x = self.conv1(x)
        # x = self.maxpool1(x)
        # x = self.conv2(x)
        # x = self.maxpool2(x)
        # x = self.conv3(x)
        # x = self.maxpool3(x)
        # x = self.flatten(x)
        # x = self.linear1(x)
        # x = self.linear2(x)
        x = self.model1(x)
        return x


tudui = Tudui()
print(tudui)

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