class_docstr: Cross-channel normalization function used in AlexNet.
code: def forward_ideep(self, inputs):
      (x,) = inputs
      self.retain_inputs((0,))
      self.retain_outputs((0,))
  
      param = intel64.ideep.localResponseNormalizationParam(
          self.n,
          self.k,
          self.n * self.alpha,
          self.beta,
          intel64.ideep.localResponseNormalizationParam.lrn_across_channels,
      )
      y, indexes = intel64.ideep.localResponseNormalization.Forward(
          intel64.ideep.array(x), param
      )
      self.indexes = indexes
      return (y,)
  
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 4 for calling the LocalResponseNormalization obj's underlying member method code with example usage: obj.forward_ideep(inputs) and returns: y