code: def backward(self, indexes, grad_outputs):
      return ResizeImages(
          (self.out_H, self.out_W), self.mode, self.align_corners
      ).apply(grad_outputs)
  
imports: from __future__ import division
  import numpy
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 4 for calling the ResizeImagesGrad obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: ResizeImages