code: def convert_sklearn_normalizer(operator, device, extra_config):
      """
      Converter for `sklearn.preprocessing.Normalizer`
  
      Args:
          operator: An operator wrapping a `sklearn.preprocessing.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"
  
      return Normalizer(operator, operator.raw_operator.norm, device)
  
label_desc: Use image node_id 1 for calling a global function with example usage: convert_sklearn_normalizer(operator, device, extra_config) and returns: Normalizer