code: def test_transpose2(self):
      conv = Convolution(
          3,
          self.input_channels,
          self.output_channels,
          strides=2,
          is_transposed=True,
      )
      out = conv(self.imt)
      expected_shape = (
          1,
          self.output_channels,
          self.im_shape[0] * 2,
          self.im_shape[1] * 2,
          self.im_shape[2] * 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 8 for calling the TestConvolution3D obj's underlying member method code with example usage: obj.test_transpose2() without return types