code: def serving_input_fn():
      inputs = {"x": tf.compat.v1.placeholder(tf.float32, [None, 784])}
      return tf.estimator.export.ServingInputReceiver(inputs, inputs)
  
file_path: sagemaker-python-sdk/tests/data/tensorflow_mnist/mnist_v1.py
imports: from __future__ import absolute_import, division, print_function
  import argparse
  import json
  import numpy
  import os
  import tensorflow
label_desc: Use image node_id 5 for calling a global function with example usage: serving_input_fn() and returns: tf