code: def test_ill_shape(self):
      warp_layer = Warp()
      with self.assertRaisesRegex(ValueError, ""):
          warp_layer(
              image=torch.arange(4)
              .reshape((1, 1, 1, 2, 2))
              .to(dtype=torch.float),
              ddf=torch.zeros(1, 2, 2, 2),
          )
      with self.assertRaisesRegex(ValueError, ""):
          warp_layer(
              image=torch.arange(4)
              .reshape((1, 1, 2, 2))
              .to(dtype=torch.float),
              ddf=torch.zeros(1, 2, 1, 2, 2),
          )
      with self.assertRaisesRegex(ValueError, ""):
          warp_layer(
              image=torch.arange(4)
              .reshape((1, 1, 2, 2))
              .to(dtype=torch.float),
              ddf=torch.zeros(1, 2, 3, 3),
          )
  
imports: from __future__ import annotations
  import os
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from torch.autograd import gradcheck
  from monai.config.deviceconfig import USE_COMPILED
  from monai.networks.blocks.warp import Warp
  from monai.transforms import LoadImaged
  from monai.utils import GridSampleMode, GridSamplePadMode
  from tests.utils import SkipIfBeforePyTorchVersion, SkipIfNoModule, download_url_or_skip_test, skip_if_quick, testing_data_config
label_desc: Use image node_id 4 for calling the TestWarp obj's underlying member method code with example usage: obj.test_ill_shape() without return types