code: def _update_signature_def_tensors(
      tensor_maps, map_old_to_new_tensors
  ):
      """Update the tensors in the SignatureDef's TensorMaps."""
      for i in range(len(tensor_maps)):
          if tensor_maps[i].tensorIndex in map_old_to_new_tensors:
              tensor_maps[i].tensorIndex = map_old_to_new_tensors[
                  tensor_maps[i].tensorIndex
              ]
  
imports: import copy
  import datetime
  import sys
  from absl import logging
  import flatbuffers
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.lite.python import conversion_metadata_schema_py_generated
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.lite.python import tflite_keras_util
  from tensorflow.lite.python.op_hint import convert_op_hints_to_stubs
  from tensorflow.lite.python.op_hint import find_all_hinted_output_nodes
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.eager import function
  from tensorflow.python.framework import convert_to_constants
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import error_interpolation
  from tensorflow.python.grappler import tf_optimizer
  from tensorflow.python.training.saver import export_meta_graph
label_desc: Use image node_id 19 for calling a global function with example usage: _update_signature_def_tensors(tensor_maps, map_old_to_new_tensors) without return types