code: def run_std_server(self):
      
      config = tf.estimator.RunConfig()
      server = tf.train.Server(
          config.cluster_spec,
          job_name=config.task_type,
          task_index=config.task_id,
          protocol=config.protocol)
      server.join()
docs: Starts a TensorFlow server and joins the serving thread.
  
      Typically used for parameter servers.
  
      Raises:
        ValueError: if not enough information is available in the estimator's
          config to create a server.