code: def test_forward(self):
      x = torch.rand((2, 1, 16, 16))
      bbox_head = SCNetBBoxHead(
          num_shared_fcs=2,
          in_channels=1,
          roi_feat_size=16,
          conv_out_channels=1,
          fc_out_channels=256,
      )
      results = bbox_head(x, return_shared_feat=False)
      self.assertEqual(len(results), 2)
      results = bbox_head(x, return_shared_feat=True)
      self.assertEqual(len(results), 3)
  
imports: import unittest
  import torch
  from mmdet.models.roi_heads.bbox_heads import SCNetBBoxHead
label_desc: Use image node_id 1 for calling the TestSCNetBBoxHead obj's underlying member method code with example usage: obj.test_forward() without return types