code: def test_from_invalid_tensor(self, shape, device, dtype):
      box_xyzxyz = torch.as_tensor(
          [[1, 2, 3, 4, -5, 6]], device=device, dtype=dtype
      ).view(*shape)
      box_xyzxyz_plus = torch.as_tensor(
          [[1, 2, 3, 0, 6, 4]], device=device, dtype=dtype
      ).view(*shape)
  
      try:
          Boxes3D.from_tensor(box_xyzxyz, mode="xyzxyz")
          assert (
              False
          ), "Boxes3D.from_tensor should have raised any exception"
      except ValueError:
          pass
  
      try:
          Boxes3D.from_tensor(box_xyzxyz_plus, mode="xyzxyz_plus")
          assert (
              False
          ), "Boxes3D.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 TestBbox3D obj's underlying member method code with example usage: obj.test_from_invalid_tensor(shape, device, dtype) without return types