code: def test_center_region_assigner_with_ignore(self):
      center_region_assigner = CenterRegionAssigner(
          pos_scale=0.2, neg_scale=0.2, min_pos_iof=0.01
      )
      priors = torch.FloatTensor(
          [
              [0, 0, 10, 10],
              [10, 10, 20, 20],
              [5, 5, 15, 15],
              [30, 32, 40, 42],
          ]
      )
      gt_bboxes = torch.FloatTensor(
          [
              [0, 0, 10, 9],
              [0, 10, 10, 19],
          ]
      )
      gt_labels = torch.LongTensor([2, 3])
      gt_bboxes_ignore = torch.Tensor(
          [
              [30, 30, 40, 40],
          ]
      )
  
      pred_instances = InstanceData(priors=priors)
      gt_instances = InstanceData(bboxes=gt_bboxes, labels=gt_labels)
      gt_instances_ignore = InstanceData(bboxes=gt_bboxes_ignore)
      assign_result = center_region_assigner.assign(
          pred_instances,
          gt_instances,
          gt_instances_ignore=gt_instances_ignore,
      )
  
      expected_gt_inds = torch.LongTensor([1, 0, 0, -1])
      self.assertTrue(
          torch.all(assign_result.gt_inds == expected_gt_inds)
      )
      self.assertTrue(
          torch.all(assign_result.gt_inds == expected_gt_inds)
      )
  
file_path: mmdetection/tests/test_models/test_task_modules/test_assigners/test_center_region_assigner.py
imports: from unittest import TestCase
  import torch
  from mmengine.structures import InstanceData
  from mmdet.models.task_modules.assigners import CenterRegionAssigner
label_desc: Use image node_id 2 for calling the TestCenterRegionAssigner obj's underlying member method code with example usage: obj.test_center_region_assigner_with_ignore() without return types