code: def forward_cpu(self, inputs):
      (gy,) = inputs
      gx1 = utils.force_array(
          numpy.where(self.cond, gy, gy.dtype.type(0))
      )
      gx2 = utils.force_array(
          numpy.where(self.cond, gy.dtype.type(0), gy)
      )
      return (
          utils.sum_to(gx1, self.x1_shape),
          utils.sum_to(gx2, self.x2_shape),
      )
  
file_path: chainer/chainer/functions/math/maximum.py
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import function_node
  from chainer import utils
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling the MaximumGrad obj's underlying member method code with example usage: obj.forward_cpu(inputs) and returns: utils,  utils