code: def _gzip_reader_fn(filenames):
      """Small utility returning a record reader that can read gzip'ed files."""
      return tf.data.TFRecordDataset(filenames, compression_type="GZIP")
  
file_path: tfx/tfx/experimental/templates/taxi/models/estimator_model/model.py
imports: from absl import logging
  import tensorflow
  from tensorflow import estimator
  import tensorflow_model_analysis
  import tensorflow_transform
  from tensorflow_transform.tf_metadata import schema_utils
  from tfx import v1
  from tfx.experimental.templates.taxi.models import features
  from tfx.experimental.templates.taxi.models.estimator_model import constants
  from tfx_bsl.public import tfxio
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: _gzip_reader_fn(filenames) and returns: tf