code: def emit_LRN(self, IR_node):
      output_name = IR_node.variable_name
      input_name = self.parent_variable_name(IR_node)
      IR_name = IR_node.name
      alpha = IR_node.get_attr("alpha")
      beta = IR_node.get_attr("beta")
      bias = IR_node.get_attr("bias", 1.0)
      size = IR_node.get_attr("size")
  
      self.add_body(
          1,
          "{:15} = helper.make_node('LRN', inputs=['{}'], outputs=['{}'], alpha={}, beta={}, bias={}, size={}, name='{}')".format(
              output_name,
              input_name,
              output_name,
              alpha,
              beta,
              bias,
              size,
              IR_name,
          ),
      )
      self.nodes.append(IR_node.variable_name)
  
imports: from mmdnn.conversion.common.DataStructure.emitter import Emitter
  from mmdnn.conversion.common.IR.IR_graph import IRGraph
  import os.path
  import mmdnn.conversion.common.IR.graph_pb2
  import numpy
  import sys
label_desc: Use image node_id 26 for calling the OnnxEmitter obj's underlying member method code with example usage: obj.emit_LRN(IR_node) without return types