def METHOD_NAME(self) -> Any:
    transform = transforms.Compose(
        [
            transforms.ToTensor(),
            transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)),
        ]
    )
    with filelock.FileLock(os.path.join("/tmp", "val.lock")):
        testset = torchvision.datasets.CIFAR10(
            root="/data", train=False, download=True, transform=transform
        )
    return DataLoader(
        testset,
        batch_size=4,
        shuffle=False,
        num_workers=2,
    )