class_docstr: A wrapper around the output of the tf.Transform.
docstr: Load the transform graph without replacing any placeholders.
  
  This is necessary to ensure that variables in the transform graph are
  included in the training checkpoint when using tf.Estimator.  This should
  be called in the training input_fn.
docstr_tok: ["Load","the","transform","graph","without","replacing","any","placeholders",".","This","is","necessary","to","ensure","that","variables","in","the","transform","graph","are","included","in","the","training","checkpoint","when","using","tf.Estimator",".","This","should","be","called","in","the","training","input_fn","."]
code: def load_transform_graph(self):
      """Load the transform graph without replacing any placeholders.
  
      This is necessary to ensure that variables in the transform graph are
      included in the training checkpoint when using tf.Estimator.  This should
      be called in the training input_fn.
      """
      if self._exported_as_v1 is None:
          self._exported_as_v1 = saved_transform_io.exported_as_v1(
              self.transform_savedmodel_dir
          )
  
      if self._exported_as_v1:
          saved_transform_io.partially_apply_saved_transform_internal(
              self.transform_savedmodel_dir, {}
          )
      else:
          # Note: This should use the same mechanism as `transform_raw_features` to
          # load the SavedModel into the current graph context.
          _ = self.transform_features_layer()({})
  
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 16 for calling the TFTransformOutput obj's underlying member method code with example usage: obj.load_transform_graph() without return types