code: def test_script(self):
      input_param, input_shape, _ = TEST_CASES[0]
      net = SEBlock(**input_param)
      test_data = torch.randn(input_shape)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_se_block.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.blocks import SEBlock
  from monai.networks.layers.factories import Act, Norm
  from tests.utils import test_script_save
label_desc: Use image node_id 2 for calling the TestSEBlockLayer obj's underlying member method code with example usage: obj.test_script() without return types