code: def preprocess_image(data):
      """Returns the normalized images and labels."""
      return tf.cast(data["image"], tf.float32) / 255.0, data["label"]
  
file_path: neural-structured-learning/research/carls/examples/dynamic_normalization/image_dataset_eval_main.py
imports: import typing
  from absl import app
  from absl import flags
  from research.carls import dynamic_embedding_config_pb2
  from research.carls import dynamic_memory_ops
  from research.carls import dynamic_normalization
  from research.carls import kbs_server_helper_pybind
  import tensorflow
  import tensorflow_datasets
  from google.protobuf import text_format
label_desc: Use image node_id 1 for calling a global function with example usage: preprocess_image(data) and returns: unknown,  data