code: def test_ill_shape(self):
      with self.assertRaisesRegex(ValueError, ""):
          input_param, _, _ = TEST_CASE_REGUNET_2D[0]
          input_shape = (1, input_param["in_channels"], 17, 17)
          net = RegUNet(**input_param).to(device)
          net.forward(torch.randn(input_shape).to(device))
  
file_path: MONAI/tests/test_regunet.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.nets.regunet import RegUNet
  from tests.utils import test_script_save
label_desc: Use image node_id 2 for calling the TestREGUNET obj's underlying member method code with example usage: obj.test_ill_shape() without return types