code: def test_forward(self, backend_config):
      with chainer.using_config("compute_mode", "cudnn_fast"):
          link = self.create_link()
      link.to_device(backend_config.device)
  
      x = self.create_input_array(backend_config.xp)
      x = chainer.Variable(
          x, layout=memory_layouts.CUDNN_CHANNEL_LAST_X
      )
      x.to_device(backend_config.device)
      with backend_config:
          y = link(x)
  
      assert link.W.device == backend_config.device
      assert y.layout == memory_layouts.CUDNN_CHANNEL_LAST_X
      assert y.shape == (
          self.batch,
          self.out_channels,
          (self.height - self.kernel_height + 1) // self.strides_height,
          (self.width - self.kernel_width + 1) // self.strides_width,
      )
  
imports: import unittest
  import numpy
  import pytest
  import six.moves.cPickle
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import links
  from chainer import memory_layouts
  from chainer import testing
  from chainer.testing import attr
  from chainer.utils import conv
label_desc: Use image node_id 3 for calling the TestConvolution2DMemoryLayouts obj's underlying member method code with example usage: obj.test_forward(backend_config) without return types