class_docstr: Cascade roi head including one bbox head and one mask head.
  
  https://arxiv.org/abs/1712.00726
docstr: Dummy forward function.
docstr_tok: ["Dummy","forward","function","."]
code: def forward_dummy(self, x, proposals):
      """Dummy forward function."""
      # bbox head
      outs = ()
      rois = bbox2roi([proposals])
      if self.with_bbox:
          for i in range(self.num_stages):
              bbox_results = self._bbox_forward(i, x, rois)
              outs = outs + (
                  bbox_results["cls_score"],
                  bbox_results["bbox_pred"],
              )
      # mask heads
      if self.with_mask:
          mask_rois = rois[:100]
          for i in range(self.num_stages):
              mask_results = self._mask_forward(i, x, mask_rois)
              outs = outs + (mask_results["mask_pred"],)
      return outs
  
imports: import torch
  import torch.nn
  from mmdet.core import bbox2result, bbox2roi, bbox_mapping, build_assigner, build_sampler, merge_aug_bboxes, merge_aug_masks, multiclass_nms
  from ..builder import HEADS, build_head, build_roi_extractor
  from .base_roi_head import BaseRoIHead
  from .test_mixins import BBoxTestMixin, MaskTestMixin
label_desc: Use image node_id 6 for calling the CascadeRoIHead obj's underlying member method code with example usage: obj.forward_dummy(x, proposals) and returns: outs