code: def test_bounding_boxes_dim_inferring_batch(self, device, dtype):
      boxes = torch.tensor(
          [
              [[1.0, 1.0], [3.0, 1.0], [3.0, 2.0], [1.0, 2.0]],
              [[2.0, 2.0], [4.0, 2.0], [4.0, 3.0], [2.0, 3.0]],
          ],
          device=device,
          dtype=dtype,
      )
      h, w = infer_bbox_shape(boxes)
      assert (h.unique().item(), w.unique().item()) == (2, 3)
  
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 3 for calling the TestBbox2D obj's underlying member method code with example usage: obj.test_bounding_boxes_dim_inferring_batch(device, dtype) without return types