code: def forward_expected(self, link, inputs):
      (x,) = inputs
      W = link.W
      if self.nobias:
          y = F.deconvolution_2d(
              x,
              W,
              stride=self.stride,
              pad=self.pad,
              dilate=self.dilate,
              groups=self.groups,
          )
      else:
          b = link.b
          y = F.deconvolution_2d(
              x,
              W,
              b,
              stride=self.stride,
              pad=self.pad,
              dilate=self.dilate,
              groups=self.groups,
          )
      return (y.array,)
  
imports: import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import links
  from chainer import testing
  from chainer.testing import parameterize
label_desc: Use image node_id 6 for calling the TestDeconvolution2D obj's underlying member method code with example usage: obj.forward_expected(link, inputs) and returns: y