code: def _save_plus_one_saved_model_v2(path, save_from_keras=False):
      """Writes Hub-style SavedModel that increments the input by one."""
      if save_from_keras:
          raise NotImplementedError()
  
      obj = tf.train.Checkpoint()
  
      @tf.function(
          input_signature=[tf.TensorSpec(None, dtype=tf.float32)]
      )
      def plus_one(x):
          return x + 1
  
      obj.__call__ = plus_one
      tf.saved_model.save(obj, path)
  
imports: import json
  import os
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_hub
label_desc: Use image node_id 12 for calling a global function with example usage: _save_plus_one_saved_model_v2(path, save_from_keras) and returns: unknown