code: def test_from_invalid_tensor(self, shape, device, dtype):
      box_xyxy = torch.as_tensor(
          [[1, 2, -3, 4]], device=device, dtype=dtype
      ).view(
          *shape
      )  # Invalid width
      box_xyxy_plus = torch.as_tensor(
          [[1, 2, 0, 3]], device=device, dtype=dtype
      ).view(
          *shape
      )  # Invalid height
  
      try:
          Boxes.from_tensor(box_xyxy, mode="xyxy")
          assert (
              False
          ), "Boxes.from_tensor should have raised any exception"
      except ValueError:
          pass
  
      try:
          Boxes.from_tensor(box_xyxy_plus, mode="xyxy_plus")
          assert (
              False
          ), "Boxes.from_tensor should have raised any exception"
      except ValueError:
          pass
  
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 5 for calling the TestBoxes2D obj's underlying member method code with example usage: obj.test_from_invalid_tensor(shape, device, dtype) without return types