code: def test_script_without_running_stats(self):
      net = UNet(
          spatial_dims=2,
          in_channels=1,
          out_channels=3,
          channels=(16, 32, 64),
          strides=(2, 2),
          num_res_units=0,
          norm=("batch", {"track_running_stats": False}),
      )
      test_data = torch.randn(16, 1, 16, 4)
      test_script_save(net, test_data)
  
file_path: MONAI/tests/test_unet.py
imports: from __future__ import annotations
  import unittest
  import torch
  from parameterized import parameterized
  from monai.networks import eval_mode
  from monai.networks.layers import Act, Norm
  from monai.networks.nets import UNet
  from tests.utils import test_script_save
label_desc: Use image node_id 3 for calling the TestUNET obj's underlying member method code with example usage: obj.test_script_without_running_stats() without return types