def lpnormalization(attrs, inputs, proto_obj):
    """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"""
    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
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
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