code: def forward_expected(self, link, inputs):
      (x,) = inputs
      W = link.W
      b = link.b
      y = F.convolution_nd(
          x, W, b, pad=self.pad, groups=self.groups, stride=self.stride
      )
      return (y.array,)
  
imports: import unittest
  import numpy
  import six.moves.cPickle
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import initializers
  from chainer.links.connection import convolution_nd
  from chainer import testing
  from chainer.testing import attr
  from chainer.utils import conv_nd
label_desc: Use image node_id 6 for calling the TestConvolutionND obj's underlying member method code with example usage: obj.forward_expected(link, inputs) and returns: y