【代碼】spa
import torch import torchvision import torchvision.transforms as transforms transform = transforms.Compose( [transforms.ToTensor(),transforms.Normalize((0.5,0.5,0.5),(0.5,0.5,0.5))]) trainset = torchvision.datasets.CIFAR10(root='./data',train=True,download=True,transform=transform) trainloader = torch.utils.data.DataLoader(trainset,batch_size=4,shuffle=True,num_workers=2) testset = torchvision.datasets.CIFAR10('./data',train=False,download=True,transform=transform) testloader = torch.utils.data.DataLoader(testset,batch_size=4,shuffle=False,num_workers=2) classes = ('plane','car','bird','cat','deer','dog','flog','horse','ship','truck')
【報錯】code
【解決】orm