code: def emit_LRN(self, IR_node):
      output_name = IR_node.variable_name
      input_name = self.parent_variable_name(IR_node)
      size = IR_node.get_attr("size")
      alpha = IR_node.get_attr("alpha")
      beta = IR_node.get_attr("beta")
      bias = IR_node.get_attr("bias")
  
      self.add_body(
          1,
          "n.{:<15} = L.LRN(n.{}, local_size={}, alpha={}, beta={}, k={})".format(
              output_name, input_name, size, alpha, beta, bias
          ),
      )
  
imports: from __future__ import division
  import os
  import sys
  import math
  import numpy
  import caffe
  from caffe import layers
  from caffe import params
  from mmdnn.conversion.common.IR.IR_graph import IRGraph, IRGraphNode
  import mmdnn.conversion.common.IR.graph_pb2
  from mmdnn.conversion.common.IR.graph_pb2 import NodeDef, GraphDef, DataType
  from mmdnn.conversion.common.DataStructure.emitter import Emitter
  from mmdnn.conversion.common.utils import *
label_desc: Use image node_id 22 for calling the CaffeEmitter obj's underlying member method code with example usage: obj.emit_LRN(IR_node) without return types