"""
    线性层：Linear
"""
import torch
import torchvision
from torch import nn

from torch.nn import Conv2d, MaxPool2d, ReLU, Sigmoid, Linear
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter

writer = SummaryWriter("logs/013")

dataset = torchvision.datasets.CIFAR10(root="./visionData", train=False, transform=torchvision.transforms.ToTensor(),
                                       download=True)
dataloader = DataLoader(dataset, batch_size=64)


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

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


mynn = MyNn()
step = 0
for data in dataloader:
    imgs, targets = data
    print(imgs.shape)
    # writer.add_images("013input", imgs, step)

    output = torch.flatten(imgs)
    print(output.shape)

    output = mynn(output)
    print(output.shape)
    # writer.add_images("013output", output, step)

    step = step + 1

writer.close()