import torch
import torchvision.datasets
from torch import nn
from torch.nn import MaxPool2d
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter

dataset = torchvision.datasets.CIFAR10("./dataset", 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.maxpool1 = MaxPool2d(kernel_size=2, ceil_mode=False)

    def forward(self, input):
        output = self.maxpool1(input)
        return output


tudui = Tudui()
print(tudui)
step = 0
writer = SummaryWriter("logs_POOL")
for data in dataloader:
    imgs, targets = data
    output = tudui(imgs)
    writer.add_images("aa", imgs, step)
    # writer.add_images("Epoch: {}".format(1), imgs, step)
    writer.add_images("bb", output, step)
    step = step + 1

writer.close()