code: def export_model(model_path):
      
      estimator = tf.estimator.Estimator(model_fn, model_dir=FLAGS.work_dir,
                                         params=FLAGS.flag_values_dict())
      latest_checkpoint = estimator.latest_checkpoint()
      all_checkpoint_files = tf.gfile.Glob(latest_checkpoint + '*')
      for filename in all_checkpoint_files:
          suffix = filename.partition(latest_checkpoint)[2]
          destination_path = model_path + suffix
          print("Copying {} to {}".format(filename, destination_path))
          tf.gfile.Copy(filename, destination_path)
docs: Take the latest checkpoint and copy it to model_path.
  
      Assumes that all relevant model files are prefixed by the same name.
      (For example, foo.index, foo.meta and foo.data-00000-of-00001).
  
      Args:
          model_path: The path (can be a gs:// path) to export model