code: def test_stride1(self):
      for strides in [2, [2, 2], (2, 2)]:
          conv = ResidualUnit(
              2, 1, self.output_channels, strides=strides
          )
          out = conv(self.imt)
          expected_shape = (
              1,
              self.output_channels,
              self.im_shape[0] // 2,
              self.im_shape[1] // 2,
          )
          self.assertEqual(out.shape, expected_shape)
  
imports: from __future__ import annotations
  import unittest
  from monai.networks.blocks import Convolution, ResidualUnit
  from tests.utils import TorchImageTestCase2D, TorchImageTestCase3D
label_desc: Use image node_id 2 for calling the TestResidualUnit2D obj's underlying member method code with example usage: obj.test_stride1() without return types