code: def convert_l2normalization(node, **kwargs):
      
      name, input_nodes, attrs = get_inputs(node, kwargs)
  
      mode = attrs.get("mode", "instance")
  
      if mode != "channel":
          raise AttributeError("L2Normalization: ONNX currently supports channel mode only")
  
      l2norm_node = onnx.helper.make_node(
          "LpNormalization",
          input_nodes,
          [name],
          axis=1,  # channel only
          name=name
      )
      return [l2norm_node]
docs: Map MXNet's L2Normalization operator attributes to onnx's LpNormalization operator
      and return the created node.