code: def test_block2(self):
      channels = [2, 4]
      dilations = [1, 2]
      conv = ConvDenseBlock(
          spatial_dims=2,
          in_channels=self.input_channels,
          channels=channels,
          dilations=dilations,
      )
      out = conv(self.imt)
      expected_shape = (
          1,
          self.input_channels + sum(channels),
          self.im_shape[0],
          self.im_shape[1],
      )
      self.assertEqual(out.shape, expected_shape)
  
imports: from __future__ import annotations
  import unittest
  import torch.nn
  from monai.networks.blocks import ConvDenseBlock, DenseBlock
  from tests.utils import TorchImageTestCase2D, TorchImageTestCase3D
label_desc: Use image node_id 4 for calling the TestConvDenseBlock2D obj's underlying member method code with example usage: obj.test_block2() without return types