code: def lpnormalization(attrs, inputs, proto_obj):
      
      new_attrs = translation_utils._fix_attribute_names(attrs, {'p': 'ord'})
      axis = int(attrs.get("axis", -1))
      new_attrs.update(axis=axis)
      return 'norm', new_attrs, inputs
docs: ONNX does not have eps attribute, so cannot map it to L2normalization in MXNet
       without that, it works as norm operator discussion in PR:
       https://github.com/onnx/onnx/pull/1330