code: def emit_LRN(self, IR_node):
      input_name = self.IR_graph.get_parent(IR_node.name, [0]).real_name
      output_name = IR_node.real_name
      alpha = IR_node.get_attr("alpha")
      beta = IR_node.get_attr("beta")
      bias = IR_node.get_attr("bias")
      size = IR_node.get_attr("size")
  
      self.builder.add_lrn(
          output_name,
          input_name,
          output_name,
          alpha=alpha,
          beta=beta,
          local_size=size,
          k=bias,
      )
  
imports: from __future__ import division
  import os
  import numpy
  from six import string_types
  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 *
  from mmdnn.conversion.coreml.coreml_utils import _infer_coreml_input_shape
  from coremltools.models.neural_network import NeuralNetworkBuilder
  from coremltools.models import datatypes
  from coremltools.models import MLModel
  from coremltools.models.utils import save_spec
label_desc: Use image node_id 44 for calling the CoreMLEmitter obj's underlying member method code with example usage: obj.emit_LRN(IR_node) without return types