docs: def restore_session(session: tf.Session, checkpoint_dir: str,
                      saver: Optional[tf.train.Saver] = None) -> None:
      """
      Restores Tensorflow session from the latest checkpoint.
      :param session: The TF session
      :param checkpoint_dir: checkpoint files directory.
      :param saver: The saver object, if not provided a default saver object will be created.
      """
      checkpoint_path = tf.train.latest_checkpoint(checkpoint_dir)
      logger = settings.logger()
      if logger.isEnabledFor(logging.INFO):
          logger.info("Restoring session from `%s`.", checkpoint_path)
  
      saver = saver or get_default_saver()
      saver.restore(session, checkpoint_path)