Python-深度学习

对应的代码

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

class Tudui(nn.Module):
    def __init__(self):
        super(Tudui, self).__init__()
        self.model = 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.model(x)
        return x


tudui = Tudui()
inData = torch.ones((64, 3, 32, 32))
output = tudui(inData)
print(output.shape)