code: def test_ill_input_shape(self):
      net = HoVerNet(mode=HoVerNet.Mode.FAST)
      with eval_mode(net):
          with self.assertRaises(ValueError):
              net.forward(torch.randn(1, 3, 270, 260))
  
file_path: MONAI/tests/test_hovernet.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode, train_mode
  from monai.networks.nets import HoVerNet
  from monai.networks.nets.hovernet import _DenseLayerDecoder
  from tests.utils import test_script_save
label_desc: Use image node_id 4 for calling the TestHoverNet obj's underlying member method code with example usage: obj.test_ill_input_shape() without return types