code: def convert_lrn(node, **kwargs):
      
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      alpha = float(attrs.get("alpha", 0.0001))
      beta = float(attrs.get("beta", 0.75))
      bias = float(attrs.get("knorm", 1.0))
      size = int(attrs.get("nsize"))
  
      lrn_node = onnx.helper.make_node(
          "LRN",
          inputs=input_nodes,
          outputs=[name],
          name=name,
          alpha=alpha,
          beta=beta,
          bias=bias,
          size=size
      )
  
      return [lrn_node]
docs: Map MXNet's LRN operator attributes to onnx's LRN operator
      and return the created node.