class_docstr: A Keras layer for applying a tf.Transform output to input layers.
docstr: Overriding this method because Model's implementation creates variables.
  
  These Variables are not needed for TransformFeaturesLayer.
docstr_tok: ["Overriding","this","method","because","Model","'s","implementation","creates","variables",".","These","Variables","are","not","needed","for","TransformFeaturesLayer","."]
code: def _init_batch_counters(
      self, *args, **kwargs
  ):  # pylint: disable=g-doc-args
      """Overriding this method because Model's implementation creates variables.
  
      These Variables are not needed for TransformFeaturesLayer.
      """
      pass
  
imports: import json
  import os
  from typing import Any, Dict, List, Mapping, Optional
  import numpy
  import tensorflow
  from tensorflow_transform import common
  from tensorflow_transform import common_types
  from tensorflow_transform import graph_tools
  from tensorflow_transform.analyzers import sanitized_vocab_filename
  from tensorflow_transform.keras_lib import tf_keras
  from tensorflow_transform.saved import saved_transform_io
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow_transform.tf_metadata import dataset_metadata
  from tensorflow_transform.tf_metadata import metadata_io
  from tensorflow_transform.tf_metadata import schema_utils
  from tensorflow.python.framework import ops
  from tensorflow.tools.docs import doc_controls
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 3 for calling the TransformFeaturesLayer obj's underlying member method code with example usage: obj._init_batch_counters() without return types