#加载数据部分import torchvisionimport torchfrom torchvision import transformsfrom torch import nnfrom datetime import datetimetransforms = transforms.Compose([transforms.ToTensor(),transforms.Normalize((0.5,0.5,0.5),(0.5,0.5,0.5))])trainset = torchvision.datasets.CIFAR10(root='./classic_dataset/cifar-10-batches-py', train=True, download=True,transform=transforms)trainloader = torch.utils.data.DataLoader(trainset,batch_size=4,shuffle=True,num_workers=3)trainset = torchvision.datasets.CIFAR10(root='./classic_dataset/cifar-10-batches-py', train=False, download=False,transform=transforms)trainloader = torch.utils.data.DataLoader(trainset,batch_size=4,shuffle=False,num_workers=3)classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']
查看训练集中图像个数:
查看一共有多少个batch:

