code: def __call__(self, image, target):
      image = self.pad_if_smaller(image)
      target = self.pad_if_smaller(target)
      crop_params = T.RandomCrop.get_params(
          image, (self.size, self.size)
      )
      image = F.crop(image, *crop_params)
      target = F.crop(target, *crop_params)
      return image, target
  
imports: import random
  from typing import List, Union
  from torchvision.transforms import functional
  from torchvision.transforms import transforms
label_desc: Use image node_id 3 for calling the RandomCrop obj's underlying member method code with example usage: obj.__call__(image, target) and returns: image,  target