code: def test_script(self):
      input_param, input_shape, _ = TEST_CASE_DYNUNET_2D[0]
      net = DynUNet(**input_param)
      test_data = torch.randn(input_shape)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_dynunet.py
imports: from __future__ import annotations
  import unittest
  from typing import Any, Sequence
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.nets import DynUNet
  from monai.utils import optional_import
  from tests.utils import assert_allclose, skip_if_no_cuda, skip_if_windows, test_script_save
label_desc: Use image node_id 2 for calling the TestDynUNet obj's underlying member method code with example usage: obj.test_script() without return types