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