code: def test_script(self):
      (
          input_param,
          input_shape,
          expected_shape,
      ) = TEST_CASE_SEGRESNET_VAE[0]
      net = SegResNetVAE(**input_param)
      test_data = torch.randn(input_shape)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_segresnet.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.nets import SegResNet, SegResNetVAE
  from monai.utils import UpsampleMode
  from tests.utils import test_script_save
label_desc: Use image node_id 2 for calling the TestResNetVAE obj's underlying member method code with example usage: obj.test_script() without return types