code: def output_scores(self, name=None):
          
          scores = [head.output_scores('cascade_scores_stage{}'.format(idx + 1))
                    for idx, head in enumerate(self._heads)]
          return tf.multiply(tf.add_n(scores), (1.0 / self.num_cascade_stages), name=name)
docs: Returns:
              Nx#class