code: def forward(self, inputs, device):
      if self.nobias:
          x, W = inputs
          b = None
      else:
          x, W, b = inputs
      out = F.convolution_2d(
          x,
          W,
          b,
          stride=self.stride,
          pad=self.pad,
          cover_all=self.cover_all,
          dilate=self.dilate,
          groups=self.groups,
      )
      if self.old_numpy_fp16:
          return (out * 0,)
      return (out,)
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  import chainer.functions
  from chainer import testing
  from chainer.testing import attr
  from chainer.testing import backend
label_desc: Use image node_id 5 for calling the TestConvolution2DFunction obj's underlying member method code with example usage: obj.forward(inputs, device) and returns: out, unknown