docstr: Returns:
      Nx#class
docstr_tok: ["Returns",":","Nx","#","class"]
code: def output_scores(self, name=None):
      """
      Returns:
          Nx#class
      """
      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
      )
  
file_path: tensorpack/examples/FasterRCNN/modeling/model_cascade.py
imports: import tensorflow
  from tensorpack.tfutils import get_current_tower_context
  from config import config
  from utils.box_ops import pairwise_iou, area
  from .model_box import clip_boxes
  from .model_frcnn import BoxProposals, FastRCNNHead, fastrcnn_outputs
label_desc: Use image node_id 6 for calling the CascadeRCNNHead obj's underlying member method code with example usage: obj.output_scores(name) and returns: tf