c76ee0c9d019038c696266f8017a1069e1be0840,onnx_tf/handlers/backend_handler.py,BackendHandler,_run_tf_func,#Any#Any#Any#Any#,160

Before Change

    attrs = cls._process_attrs(attrs)
    return tf_func(*inputs,
                   **dict([(p, attrs[p]) for p in params if p in attrs]))

After Change

        params = inspect.getargspec(tf_func).args

    attrs = cls._process_attrs(attrs)
    attrs = {p: v for p, v in attrs.items() if p in params}
    kwargs = dict(zip(params, inputs))
    ambiguous_arguments = any(kwargs.get(p) is not None and v is not None
                              for p, v in attrs.items())
    if ambiguous_arguments:
      raise TypeError("Ambiguous arguments for {}()".format(tf_func.__name__))
    kwargs.update((p, v) for p, v in attrs.items() if v is not None)
    return tf_func(**kwargs)

Instances