code: def run_inference_for_inference_results(examples, serving_bundle):
      """Calls servo and wraps the inference results."""
      (inference_result_proto, extra_results) = run_inference(
          examples, serving_bundle
      )
      inferences = wrap_inference_results(inference_result_proto)
      infer_json = json_format.MessageToJson(
          inferences, including_default_value_fields=True
      )
      return json.loads(infer_json), extra_results
  
imports: from __future__ import division
  from __future__ import print_function
  import collections
  import copy
  import json
  import math
  from absl import logging
  import numpy
  import tensorflow
  from google.protobuf import json_format
  from six import binary_type, string_types, integer_types
  from six import iteritems
  from six.moves import zip
  from inspect import signature
  from utils import common_utils
  from utils import platform_utils
  from tensorflow_serving.apis import classification_pb2
  from tensorflow_serving.apis import inference_pb2
  from tensorflow_serving.apis import regression_pb2
label_desc: Use image node_id 14 for calling a global function with example usage: run_inference_for_inference_results(examples, serving_bundle) and returns: json,  extra_results