code: def backward(self, indexes, grad_outputs):
      return (
          shift(
              grad_outputs[0],
              ksize=(self.kh, self.kw),
              dilate=(-self.dy, -self.dx),
          ),
      )
  
file_path: chainer/chainer/functions/connection/shift.py
imports: import numpy
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 5 for calling the Shift obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: shift