code: def test_script(self):
      net = Quicknat(num_classes=1, num_channels=1)
      test_data = torch.randn(16, 1, 32, 32)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_quicknat.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 Quicknat
  from monai.utils import optional_import
  from tests.utils import test_script_save
label_desc: Use image node_id 2 for calling the TestQuicknat obj's underlying member method code with example usage: obj.test_script() without return types