code: def check_output(out_block, mode):
      if mode == HoVerNet.Mode.ORIGINAL:
          ksize = 5
      else:
          ksize = 3
  
      if out_block.decoderblock3.conva.kernel_size != (
          ksize,
          ksize,
      ) or out_block.decoderblock3.conva.stride != (1, 1):
          return True
      if out_block.decoderblock4.conv.kernel_size != (
          1,
          1,
      ) or out_block.decoderblock4.conv.stride != (1, 1):
          return True
  
      return False
  
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 2 for calling a global function with example usage: check_output(out_block, mode) and returns: False, True, True