code: def _forward_xp(self, x, W, b, xp):
      if 1 < self.groups:
          return self._forward_grouped_convolution_xp(x, W, b, xp)
      else:
          return self._forward_xp_core(x, W, b, xp)
  
imports: import numpy
  from six import moves
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import configuration
  from chainer import function_node
  from chainer.functions.connection import convolution_2d
  from chainer.functions.connection import convolution_nd
  from chainer import utils
  from chainer.utils import conv
  from chainer.utils import conv_nd
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 4 for calling the DeconvolutionND obj's underlying member method code with example usage: obj._forward_xp(x, W, b, xp) and returns: self, self