code: def test_script(self):
      net = VoxelMorphUNet(
          spatial_dims=2,
          in_channels=2,
          unet_out_channels=32,
          channels=(16, 32, 32, 32, 32, 32),
          final_conv_channels=(16, 16),
      )
      test_data = torch.randn(1, 2, 96, 96)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_voxelmorph.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 VoxelMorph, VoxelMorphUNet
  from tests.utils import test_script_save
label_desc: Use image node_id 2 for calling the TestVOXELMORPH obj's underlying member method code with example usage: obj.test_script() without return types