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PyTorch快速入门教程【小土堆】之全连接层

article 2025/1/3 11:31:39

视频地址神经网络-线性层及其他层介绍_哔哩哔哩_bilibili

视频中称为线性层

import torch
import torchvision
from torch import nn
from torch.nn import Linear
from torch.utils.data import DataLoader

dataset = torchvision.datasets.CIFAR10("CIFAR10", train=False, transform=torchvision.transforms.ToTensor(),
                                       download=True)

dataloader = DataLoader(dataset, batch_size=64)


class Tudui(nn.Module):
    def __init__(self):
        super(Tudui, self).__init__()
        self.linear1 = Linear(196608, 10)

    def forward(self, input):
        output = self.linear1(input)
        return output

tudui = Tudui()

for data in dataloader:
    imgs, targets = data
    print(imgs.shape) # torch.Size([64, 3, 32, 32])
    output = torch.reshape(imgs, (1, 1, 1, -1))
    print(output.shape) # torch.Size([1, 1, 1, 196608])
    output = tudui(output)
    print(output.shape) # torch.Size([1, 1, 1, 10])

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