def _pack(converter, node: Any, inputs: List[str]) -> Any:
    final_inputs = []
    for x_in in inputs:
        input_c = converter.outputs[x_in]
        if isinstance(input_c, tf.NodeDef):
            final_inputs.append(_nodef_to_private_pond(converter, input_c))
        else:
            final_inputs.append(input_c)
    return converter.protocol.stack(final_inputs, axis=node.attr['axis'].i)
def _pack(converter, node: Any, inputs: List[str]) -> Any:
    final_inputs = []
    for x_in in inputs:
        input_c = converter.outputs[x_in]
        if isinstance(input_c, tf.NodeDef):
            final_inputs.append(_nodef_to_private_pond(converter, input_c))
        else:
            final_inputs.append(input_c)
    return converter.protocol.stack(final_inputs, axis=node.attr['axis'].i)