def tinyimagenet(args):
data = TinyImageNet
transform_train, transform_test = dstransforms[args.dataset](args)
root = '/ssd/tinyimagenet' if args.dataset_path is None else args.dataset_path
trainset = data(root=root, transform=transform_train)
valset = data(root=root, transform=transform_test, train=False)
return trainset, valset
def imagenet_hdf5(args):
data = ImageNetHDF5
transform_train, transform_test = dstransforms[args.dataset](args)
root = '/ssd/ILSVRC2012' if args.dataset_path is None else args.dataset_path
trainset = data(root=f'{root}/train', transform=transform_train)
testset = data(root=f'{root}/val', transform=transform_test)
return trainset, testset
def fashion(args):
data = FashionMNIST
transform_train, transform_test = dstransforms[args.dataset](args)
root = './data/fashion'
root = args.dataset_path if args.dataset_path is not None else root
trainset = data(root=root,
train=True,
download=True,
transform=transform_train)
valset = data(root=root,
train=False,
download=True,
transform=transform_test)
return trainset, valset
def imagenet_a(args):
data = ImageFolder
transform = dstransforms[args.dataset](args)
root = args.dataset_path
testset = data(root=f'{root}/', transform=transform)
return None, None, testset
