PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
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// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "paddle/ap/include/axpr/method_class.h"
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#include "paddle/ap/include/axpr/naive_class_ops.h"
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#include "paddle/ap/include/axpr/value.h"
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#include "paddle/ap/include/code_module/code_module.h"
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#include "paddle/ap/include/code_module/func_declare.h"
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#include "paddle/ap/include/code_module/source_code.h"
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namespace ap::code_module {
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axpr::TypeImpl<axpr::BuiltinClassInstance<axpr::Value>> GetCodeModuleClass();
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} // namespace ap::code_module
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