code: def test_ill_reduction(self):
      with self.assertRaisesRegex(ValueError, ""):
          loss = DeepSupervisionLoss(DiceCELoss(reduction="none"))
          loss(torch.ones((1, 2, 3)), torch.ones((1, 1, 2, 3)))
  
imports: from __future__ import annotations
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.losses import DeepSupervisionLoss, DiceCELoss, DiceFocalLoss, DiceLoss
  from tests.utils import SkipIfBeforePyTorchVersion, test_script_save
label_desc: Use image node_id 3 for calling the TestDSLossDiceCE obj's underlying member method code with example usage: obj.test_ill_reduction() without return types