code: def normalize_image(image, label):
      """Normalizes the image to within [0,1]."""
      image = tf.cast(image, dtype=tf.float32) / 255.0
      return image, label
  
file_path: neural-structured-learning/research/multi_representation_adversary/multi_representation_adversary/data.py
imports: import gin
  import tensorflow.compat.v2
  import tensorflow_datasets
label_desc: Use image node_id 3 for calling a global function with example usage: normalize_image(image, label) and returns: image,  label