def _negative(converter, node: Any, inputs: List[str]) -> Any:
    x_in = converter.outputs[inputs[0]]
    if isinstance(x_in, tf.NodeDef):
        input_out = _nodef_to_private_pond(converter, x_in)
    else:
        input_out = x_in
    return converter.protocol.negative(input_out)
def _negative(converter, node: Any, inputs: List[str]) -> Any:
    x_in = converter.outputs[inputs[0]]
    if isinstance(x_in, tf.NodeDef):
        input_out = _nodef_to_private_pond(converter, x_in)
    else:
        input_out = x_in
    return converter.protocol.negative(input_out)