PyTorch(11)---卷积神经网络_一个小的神经网络搭建model

一个小的神经网络搭建model

*用到函数：torch.nn.Sequential(args)

import torch
from torch import nn
from torch.nn import Conv2d, MaxPool2d, Flatten, Linear, Sequential
from torch.utils.tensorboard import SummaryWriter


class Demo(nn.Module):
    def __init__(self) -> None:
        super().__init__()
        self.model1=Sequential(
            Conv2d(in_channels=3, out_channels=32, kernel_size=5, stride=1, padding=2, dilation=1, ),
            MaxPool2d(kernel_size=2, ),
            Conv2d(in_channels=32, out_channels=32, kernel_size=5, stride=1, padding=2, ),
            MaxPool2d(kernel_size=2),
            Conv2d(32, 64, 5, 1, 2),
            MaxPool2d(2),
            Flatten(),
            Linear(1024, 64),
            Linear(64, 10),
        )
    def forward(self,x):
        x=self.model1(x)
        return x

demo=Demo()
print(demo)
'''对网络步骤进行验证'''
input=torch.ones((64,3,32,32))
output=demo(input)
print(output)
print(output.shape)

writer=SummaryWriter("log_seq")
writer.add_graph(demo,input,)
writer.close()

结果：