code: def lrn(self, input, radius, alpha, beta, name, bias=1.0):
      fluid = import_fluid()
      output = fluid.layers.lrn(
          input=input,
          n=radius,
          k=bias,
          alpha=alpha,
          beta=beta,
          name=self.get_unique_output_name(name, "lrn"),
      )
      return output
  
imports: from __future__ import print_function
  from builtins import str
  from past.builtins import basestring
  from builtins import object
  import sys
  import os
  import math
  import numpy
label_desc: Use image node_id 17 for calling the Network obj's underlying member method code with example usage: obj.lrn(input, radius, alpha, beta, name, bias) and returns: output