code: def normalize(example):
      """This normalizes all color values to be between 0 and 1. This gets turned
      into a tensorflow operation... print statements will only get called a single
      time.
  
      """
      example["image"] = tf.cast(example["image"], tf.float32) / 255.0
      return example
  
imports: from __future__ import division, print_function
  import getpass
  from typing import Dict, Optional
  import fs
  import tensorflow
  import tensorflow_datasets
  import tqdm
  import uv
  import uv.tensorflow.reporter
  import uv.util
  from absl import app
  from uv.fs.reporter import FSReporter
  from uv.mlflow.reporter import MLFlowReporter
  from trainer import cli
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(example) and returns: example