code: def forward(self, xs):
      a = xs[0]
      b = xs[1]
      y = a.copy()
      xp = backend.get_array_module(a)
      slices = tuple(
          [
              backend.from_chx(s)
              if isinstance(s, chainerx.ndarray)
              else s
              for s in self.slices
          ]
      )
      if y[slices].shape != b.shape:
          raise ValueError(
              "Chainer does not support automatic broadcasting "
              "of variables."
          )
      if xp is numpy:
          numpy.add.at(y, slices, b),
      else:
          cuda.cupyx.scatter_add(y, slices, b),
      return (y,)
  
file_path: chainer/chainer/functions/array/scatter_add.py
imports: import numpy
  import chainer
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 3 for calling the ScatterAdd obj's underlying member method code with example usage: obj.forward(xs) and returns: y