code: def test_dynamo(self, device, dtype, torch_optimizer):
      boxes = torch.tensor(
          [[139.2640, 103.0150, 258.0480, 307.5075]],
          device=device,
          dtype=dtype,
      )
      trans_mat = torch.tensor(
          [[[-1.0, 0.0, 512.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]],
          device=device,
          dtype=dtype,
      )
      args = (boxes, trans_mat)
      op = kornia.geometry.transform_points
      op_optimized = torch_optimizer(op)
      assert_close(op(*args), op_optimized(*args))
  
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 TestTransformBoxes2D obj's underlying member method code with example usage: obj.test_dynamo(device, dtype, torch_optimizer) without return types