class_docstr: Randomly choose one of the best 24 Sub-policies on ImageNet.
  
  Example:
  >>> policy = ImageNetPolicy()
  >>> transformed = policy(image)
  
  Example as a PyTorch Transform:
  >>> transform=transforms.Compose([
  >>>     transforms.Resize(256),
  >>>     ImageNetPolicy(),
  >>>     transforms.ToTensor()])
code: def __repr__(self):
      return "AutoAugment ImageNet Policy"
  
file_path: zoo/src/utils/autoaug.py
imports: import numpy
  from src.utils.transforms import *
label_desc: Use image node_id 3 for calling the ImageNetPolicy obj's underlying member method code with example usage: obj.__repr__() and returns: str