code: def test_incorrect_anchors(self):
      incorrect_sizes = (
          (2, 4, 8),
          (32, 8),
      )
      incorrect_aspects = (0.5, 1.0)
      anc = AnchorGenerator(incorrect_sizes, incorrect_aspects)
      image1 = torch.randn(3, 800, 800)
      image_list = ImageList(image1, [(800, 800)])
      feature_maps = [torch.randn(1, 50)]
      pytest.raises(AssertionError, anc, image_list, feature_maps)
  
file_path: vision/test/test_models_detection_anchor_utils.py
imports: import pytest
  import torch
  from common_utils import assert_equal
  from torchvision.models.detection.anchor_utils import AnchorGenerator, DefaultBoxGenerator
  from torchvision.models.detection.image_list import ImageList
label_desc: Use image node_id 1 for calling the Tester obj's underlying member method code with example usage: obj.test_incorrect_anchors() without return types