code: def test_script(self):
      input_param, input_shape, _, skip_shape = TEST_UP_BLOCK[0]
  
      net = UnetUpBlock(**input_param)
      test_data = torch.randn(input_shape)
      skip_data = torch.randn(skip_shape)
      test_script_save(net, test_data, skip_data)
  
file_path: MONAI/tests/test_dynunet_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.dynunet_block import UnetBasicBlock, UnetResBlock, UnetUpBlock, get_padding
  from tests.utils import test_script_save
label_desc: Use image node_id 2 for calling the TestUpBlock obj's underlying member method code with example usage: obj.test_script() without return types