code: def test_gradcheck(self, device):
      # Define boxes in XYXY format for simplicity.
      boxes_xyxy = torch.tensor(
          [
              [139.2640, 103.0150, 258.0480, 307.5075],
              [1.0240, 80.5547, 510.9760, 431.4453],
              [165.2053, 262.1440, 345.4293, 546.7840],
              [119.8080, 144.2067, 137.2160, 265.9225],
          ],
          device=device,
      )
      boxes = Boxes.from_tensor(boxes_xyxy)
  
      trans_mat = torch.tensor(
          [[[-1.0, 0.0, 512.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]],
          device=device,
      )
  
      trans_mat = tensor_to_gradcheck_var(trans_mat)
      t_boxes = tensor_to_gradcheck_var(boxes.data)
  
      def _wrapper_transform_boxes(quadrilaterals, M):
          boxes = Boxes(quadrilaterals)
          boxes = boxes.transform_boxes(M)
          return boxes.data
  
      gradcheck(_wrapper_transform_boxes, (t_boxes, trans_mat))
  
imports: from functools import partial
  import pytest
  import torch
  from kornia.geometry.boxes import Boxes, Boxes3D
  from kornia.testing import assert_close, gradcheck, tensor_to_gradcheck_var
label_desc: Use image node_id 4 for calling the TestTransformBoxes2D obj's underlying member method code with example usage: obj.test_gradcheck(device) and returns: boxes