class_docstr: Randomly choose one of the best 24 Sub-policies on ImageNet.
  Reference: https://arxiv.org/abs/1805.09501
class_docstr_tok: ["Randomly","choose","one","of","the","best","24","Sub-policies","on","ImageNet",".","Reference",":","https",":","\/\/arxiv.org\/abs\/1805.09501"]
code: def __call__(self, img):
      policy_idx = random.randint(0, len(self.policies) - 1)
      return self.policies[policy_idx](img)
  
file_path: DALI/docs/examples/use_cases/pytorch/efficientnet/image_classification/autoaugment.py
imports: from PIL import Image, ImageEnhance, ImageOps
  import numpy
  import random
label_desc: Use image node_id 2 for calling the AutoaugmentImageNetPolicy obj's underlying member method code with example usage: obj.__call__(img) and returns: self