code: def test_dynamo(self, device, dtype, torch_optimizer):
      # Define script
      op = infer_bbox_shape
      op_optimized = torch_optimizer(op)
      # Define input
      boxes = torch.tensor(
          [[[1.0, 1.0], [3.0, 1.0], [3.0, 2.0], [1.0, 2.0]]],
          device=device,
          dtype=dtype,
      )
      # Run
      expected = op(boxes)
      actual = op_optimized(boxes)
      # Compare
      assert_close(actual, expected)
  
imports: import torch
  import kornia
  from kornia.geometry.bbox import infer_bbox_shape, infer_bbox_shape3d, nms, transform_bbox, validate_bbox, validate_bbox3d
  from kornia.testing import assert_close, gradcheck, tensor_to_gradcheck_var
label_desc: Use image node_id 5 for calling the TestBbox2D obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types