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 os.system("wget www.di.ens.fr/~lelarge/MNIST.tar.gz")
 os.system("tar -xvzf MNIST.tar.gz")

 from torchvision.datasets import MNIST
 from torchvision import transforms

 normalize = transforms.Normalize(mean=[0.131], std=[0.289])
 train_loader = torch.utils.data.DataLoader(
     MNIST(root='./', download=False, transform=transforms.Compose([transforms.ToTensor(),
         normalize,
     ]), train=True),
     batch_size=args.batchsize, shuffle=True,
     num_workers=args.workers, pin_memory=True)

 val_loader = torch.utils.data.DataLoader(
     MNIST(root='./', download=False, transform=transforms.Compose([transforms.ToTensor(),
         normalize,
     ]), train=False),
     batch_size=args.batchsize, shuffle=True,
     num_workers=args.workers, pin_memory=True)