code: def _make_request_spec(payload: Dict[str, Any]):
      result = infra_validator_pb2.RequestSpec()
      json_format.ParseDict(payload, result)
      return result
  
imports: import os
  from typing import Any, Dict
  from unittest import mock
  import tensorflow
  from tfx.components.infra_validator import request_builder
  from tfx.proto import infra_validator_pb2
  from tfx.types import artifact_utils
  from tfx.types import standard_artifacts
  from tfx.utils import path_utils
  from google.protobuf import json_format
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.core.protobuf import saved_model_pb2
  from tensorflow_serving.apis import classification_pb2
  from tensorflow_serving.apis import predict_pb2
  from tensorflow_serving.apis import regression_pb2
label_desc: Use image node_id 3 for calling a global function with example usage: _make_request_spec(payload) and returns: result