code: def _backward_ideep(self, inputs):
      x, y, gy = inputs
  
      param = intel64.ideep.localResponseNormalizationParam(
          self.n,
          self.k,
          self.n * self.alpha,
          self.beta,
          intel64.ideep.localResponseNormalizationParam.lrn_across_channels,
      )
      gx = intel64.ideep.localResponseNormalization.Backward(
          intel64.ideep.array(x),
          intel64.ideep.array(gy),
          self.indexes,
          param,
      )
      return (gx,)
  
imports: import numpy
  import six
  from chainer.backends import cuda
  from chainer.backends import intel64
  from chainer import function_node
  from chainer.utils import type_check
label_desc: Use image node_id 3 for calling the LocalResponseNormalizationGrad obj's underlying member method code with example usage: obj._backward_ideep(inputs) and returns: gx