code: def test_script(self):
      input_param, input_shape, expected_shape = TEST_CASE_MILMODEL[0]
      net = MILModel(**input_param)
      test_data = torch.randn(input_shape, dtype=torch.float)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_milmodel.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 MILModel
  from monai.utils.module import optional_import
  from tests.utils import skip_if_downloading_fails, test_script_save
label_desc: Use image node_id 3 for calling the TestMilModel obj's underlying member method code with example usage: obj.test_script() without return types