code: def __call__(self, x, rois, roi_indices):
      n_roi = len(rois)
      cls_locs = chainer.Variable(
          _random_array(self.xp, (n_roi, self.n_class * 4))
      )
      # For each bbox, the score for a selected class is
      # overwhelmingly higher than the scores for the other classes.
      score_idx = np.random.randint(
          low=0, high=self.n_class, size=(n_roi,)
      )
      scores = self.xp.zeros((n_roi, self.n_class), dtype=np.float32)
      scores[np.arange(n_roi), score_idx] = 100
      scores = chainer.Variable(scores)
  
      return cls_locs, scores
  
imports: import numpy
  import unittest
  import chainer
  from chainer import testing
  from chainer.testing import attr
  from chainercv.links.model.light_head_rcnn import LightHeadRCNN
  from chainercv.utils import assert_is_detection_link
  from chainercv.utils import generate_random_bbox
label_desc: Use image node_id 2 for calling the DummyHead obj's underlying member method code with example usage: obj.__call__(x, rois, roi_indices) and returns: cls_locs,  scores