code: def __call__(self, img):
      if random.random() < self.p1:
          img = self.operation1(img)
      if random.random() < self.p2:
          img = self.operation2(img)
      return 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 SubPolicy obj's underlying member method code with example usage: obj.__call__(img) and returns: img