import tensorflow as tf

            labels.set_shape([cfg.FLAGS.batch_size, 1])
            bbox_targets.set_shape([cfg.FLAGS.batch_size, self._num_classes * 4])
            bbox_inside_weights.set_shape([cfg.FLAGS.batch_size, self._num_classes * 4])
            bbox_outside_weights.set_shape([cfg.FLAGS.batch_size, self._num_classes * 4])

            self._proposal_targets['rois'] = rois
            self._proposal_targets['labels'] = tf.to_int32(labels, name="to_int32")
            self._proposal_targets['bbox_targets'] = bbox_targets
            self._proposal_targets['bbox_inside_weights'] = bbox_inside_weights
            self._proposal_targets['bbox_outside_weights'] = bbox_outside_weights

            self._score_summaries.update(self._proposal_targets)   #self._score_summaries.update(self._anchor_targets)  
