code: def _gzip_reader_fn(filenames: List[Text]):
      """Small utility returning a record reader that can read gzip'ed files.
  
      Args:
          filenames: List of paths or patterns of input tfrecord files.
      Returns:
          A reader function to read upstream ExampleGen artifacts from GCS and by
          default they are gzip'ed TF.Records files.
      """
      return tf.data.TFRecordDataset(filenames, compression_type="GZIP")
  
file_path: cloud/src/python/tensorflow_cloud/tuner/cloud_fit_remote.py
imports: import os
  import pickle
  from typing import List, Text
  from absl import app
  from absl import flags
  from absl import logging
  import tensorflow
  import tensorflow_datasets
  import tensorflow_transform
  from tensorflow_cloud.tuner import cloud_fit_utils
label_desc: Use image node_id 2 for calling a global function with example usage: _gzip_reader_fn(filenames) and returns: tf