code: def backward(self, indexes, grad_outputs):
      return (grad_outputs[0] * self.cond,)
  
imports: import numpy
  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 5 for calling the ClipGrad obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: unknown