code: def make_grpc_request_fn(servable_name, server, timeout_secs):
    
    stub = _create_stub(server)
  
    def _make_grpc_request(examples):
      """Builds and sends request to TensorFlow model server."""
      request = predict_pb2.PredictRequest()
      request.model_spec.name = servable_name
      request.inputs["input"].CopyFrom(
          tf.make_tensor_proto(
              [ex.SerializeToString() for ex in examples], shape=[len(examples)]))
      response = stub.Predict(request, timeout_secs)
      outputs = tf.make_ndarray(response.outputs["outputs"])
      scores = tf.make_ndarray(response.outputs["scores"])
      assert len(outputs) == len(scores)
      return [{  # pylint: disable=g-complex-comprehension
          "outputs": output,
          "scores": score
      } for output, score in zip(outputs, scores)]
  
    return _make_grpc_request
docs: Wraps function to make grpc requests with runtime args.