code: def test_ill_shape(self):
      loss = LogHausdorffDTLoss()
      with self.assertRaisesRegex(AssertionError, ""):
          loss.forward(
              torch.ones((1, 1, 2, 3)), torch.ones((1, 4, 5, 6))
          )
  
imports: from __future__ import annotations
  import unittest
  from unittest.case import skipUnless
  import numpy
  import torch
  from parameterized import parameterized
  from monai.losses import HausdorffDTLoss, LogHausdorffDTLoss
  from monai.utils import optional_import
label_desc: Use image node_id 2 for calling the TesLogtHausdorffDTLoss obj's underlying member method code with example usage: obj.test_ill_shape() without return types