class_docstr: Randomized Leaky rectifier unit.
class_docstr_tok: ["Randomized","Leaky","rectifier","unit","."]
code: def backward(self, indexes, grad_outputs):
      y = self.get_retained_outputs()[0].data
      return _RReLUGrad(y, self.r).apply(grad_outputs)
  
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import function_node
  from chainer.utils import argument
  from chainer.utils import type_check
label_desc: Use image node_id 5 for calling the RReLU obj's underlying member method code with example usage: obj.backward(indexes, grad_outputs) and returns: _RReLUGrad