code: def load_and_use(path):
      """Load and used a model that was previously created by `save()`.
  
      Args:
        path: Directory to load model from, typically the same directory that was
          used by save().
  
      Returns:
        A tensor that is the result of using the multiplex op that is
        tf.constant([1, 20, 3, 40, 5], dtype=tf.int64).
      """
      example_cond, example_a, example_b = _get_example_tensors()
      restored = tf.saved_model.load(path)
      return restored.use_multiplex(example_cond, example_a, example_b)
  
imports: import tensorflow
label_desc: Use image node_id 3 for calling a global function with example usage: load_and_use(path) and returns: restored