class_docstr: A wrapper around the output of the tf.Transform.
docstr: A boolean.
  
  Indicates whether the SavedModel was exported using TF 1.x or TF 2.x APIs.
docstr_tok: ["A","boolean",".","Indicates","whether","the","SavedModel","was","exported","using","TF","1.x","or","TF","2.x","APIs","."]
code: def _exported_as_v1(self) -> bool:
      """A boolean.
  
      Indicates whether the SavedModel was exported using TF 1.x or TF 2.x APIs.
      """
      if self._exported_as_v1_value is None:
          self._exported_as_v1_value = (
              saved_transform_io.exported_as_v1(
                  self.transform_savedmodel_dir
              )
          )
      return self._exported_as_v1_value
  
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 4 for calling the TFTransformOutput obj's underlying member method code with example usage: obj._exported_as_v1() and returns: self