def data_transforms_cifar10(args):
    """ data_transforms for cifar10 dataset
    """

    cifar_mean = [0.49139968, 0.48215827, 0.44653124]
    cifar_std = [0.24703233, 0.24348505, 0.26158768]

    train_transform = transforms.Compose(
        [
            transforms.RandomCrop(32, padding=4),
            transforms.RandomHorizontalFlip(),
            transforms.ToTensor(),
            transforms.Normalize(cifar_mean, cifar_std),
        ]
    )
    if args.cutout:
        train_transform.transforms.append(Cutout(args.cutout_length))

    valid_transform = transforms.Compose(
        [transforms.ToTensor(), transforms.Normalize(cifar_mean, cifar_std)]
    )
    return train_transform, valid_transform
def data_transforms_cifar10 ( args ) : cifar_mean = [ 0.49139968 , 0.48215827 , 0.44653124 ] cifar_std = [ 0.24703233 , 0.24348505 , 0.26158768 ] train_transform = transforms . Compose ( [ transforms . RandomCrop ( 32 , padding = 4 ) , transforms . RandomHorizontalFlip ( ) , transforms . ToTensor ( ) , transforms . Normalize ( cifar_mean , cifar_std ) , ] ) if args . cutout : train_transform . transforms . append ( Cutout ( args . cutout_length ) ) valid_transform = transforms . Compose ( [ transforms . ToTensor ( ) , transforms . Normalize ( cifar_mean , cifar_std ) ] ) return train_transform , valid_transform
data_transforms for cifar10 dataset