def METHOD_NAME(img_file, transforms):
    img = Image.open(img_file)
    for x in transforms:
        print(x)
    transforms = parse_deep_user_architecture(transforms)
    transforms = torchvision.transforms.Compose([x for x in transforms])
    img = transforms(img)
    return (
        torchvision.transforms.ToPILImage()(img)
        if isinstance(img, torch.Tensor)
        else img
    )