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pytorch入门7:学会dataloader的使用

何晓杰Dev 2022-03-30 阅读 36
"""
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()




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