def scale_random_crop(input_size, scale_size=None, normalize=__imagenet_stats):
t_list = [
transforms.RandomCrop(input_size),
transforms.RandomHorizontalFlip(),
transforms.ToTensor(),
transforms.Normalize(**normalize),
]
if scale_size != input_size:
t_list = [transforms.Scale(scale_size)] + t_list
return transforms.Compose(t_list)
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