已训练完成模型导出为推理模型的C++代码接口？

[geoexploring]

PaddleX Python代码将已训练完成模型导出为推理模型的函数接口是：

    def _export_inference_model(self, save_dir, image_shape=None):
        save_dir = osp.join(save_dir, 'inference_model')
        self.test_inputs = self._get_test_inputs(image_shape)
        infer_net = self._build_inference_net()

        if self.status == 'Quantized':
            self.quantizer.save_quantized_model(infer_net,
                                                osp.join(save_dir, 'model'),
                                                self.test_inputs)
            quant_info = self.get_quant_info()
            with open(
                    osp.join(save_dir, 'quant.yml'), encoding='utf-8',
                    mode='w') as f:
                yaml.dump(quant_info, f)
        else:
            static_net = paddle.jit.to_static(
                infer_net, input_spec=self.test_inputs)
            paddle.jit.save(static_net, osp.join(save_dir, 'model'))

        if self.status == 'Pruned':
            pruning_info = self.get_pruning_info()
            with open(
                    osp.join(save_dir, 'prune.yml'), encoding='utf-8',
                    mode='w') as f:
                yaml.dump(pruning_info, f)

        model_info = self.get_model_info()
        model_info['status'] = 'Infer'
        with open(
                osp.join(save_dir, 'model.yml'), encoding='utf-8',
                mode='w') as f:
            yaml.dump(model_info, f)

        pipeline_info = self._get_pipeline_info(save_dir)
        with open(
                osp.join(save_dir, 'pipeline.yml'), encoding='utf-8',
                mode='w') as f:
            yaml.dump(pipeline_info, f)

        # 模型保存成功的标志
        open(osp.join(save_dir, '.success'), 'w').close()
        logging.info("The model for the inference deployment is saved in {}.".
                     format(save_dir))

请问有没有相应的C++代码接口呢？谢谢！