"""
本节主要学会dataloader的使用
"""
import torchvision
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
test_data = torchvision.datasets.CIFAR10("./torchvision_dataset",train=False,transform=torchvision.transforms.ToTensor())
# drop_lastd代表除以batch_size除不尽的时候是否丢弃余数
test_loder = DataLoader(dataset=test_data,batch_size=4,shuffle=False,num_workers=0,drop_last=False) # 取打乱后的4个一打包放在一起，形成多个打包
img,target = test_data[0]
print(img.shape)
print(target) # target代表的是标签值
writer = SummaryWriter('test_dataloader')
for epoch in range(2):
step = 0
for data in test_loder:
imgs,targets = data
# print(imgs.shape)
# print(targets)
writer.add_images("Epoch {}".format(epoch),imgs,step)
step+=1
writer.close()
