code: def convert_onnx_normalizer(operator, device=None, extra_config={}):
      """
      Converter for `ai.onnx.ml.Normalizer`
  
      Args:
          operator: An operator wrapping a `ai.onnx.ml.Normalizer` model
          device: String defining the type of device the converted operator should be run on
          extra_config: Extra configuration used to select the best conversion strategy
  
      Returns:
          A PyTorch model
      """
      assert operator is not None, "Cannot convert None operator"
  
      raw_operator = (
          operator.raw_operator.origin.attribute[0]
          .s.lower()
          .decode("UTF-8")
      )  # (ex: b'L1' to 'l1')
      if raw_operator is None or raw_operator == "":
          raise RuntimeError(
              "Error parsing Normalizer, found unexpected None"
          )
      return Normalizer(operator, raw_operator, device)
  
label_desc: Use image node_id 1 for calling a global function with example usage: convert_onnx_normalizer(operator, device, extra_config) and returns: Normalizer