code: def test_block_conv(self):
      conv1 = nn.Conv2d(
          self.input_channels, self.output_channels, 3, padding=1
      )
      conv2 = nn.Conv2d(
          self.input_channels + self.output_channels,
          self.input_channels,
          3,
          padding=1,
      )
      block = DenseBlock([conv1, conv2])
      out = block(self.imt)
      expected_shape = (
          1,
          self.output_channels + self.input_channels * 2,
          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 2 for calling the TestDenseBlock2D obj's underlying member method code with example usage: obj.test_block_conv() without return types