// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. /* * This file defines IRPassManager, it helps control the passes in IR. Inference * phrase will load the model program and parameters from disk, that is quite * different from the training phase. * This manager will control the Passes and make the passes in IR work smoothly * for inference. */ #pragma once #include #include #include "paddle/fluid/framework/ir/graph.h" #include "paddle/fluid/framework/ir/pass.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/inference/analysis/argument.h" namespace paddle { namespace inference { namespace analysis { using framework::ProgramDesc; using framework::ir::Graph; class IRPassManager final { public: explicit IRPassManager(Argument *argument); std::unique_ptr Apply(std::unique_ptr graph); framework::proto::ProgramDesc AcquireProgram( std::unique_ptr *graph, const ProgramDesc &program) const; framework::ir::Graph &graph() const { return *graph_; } private: void CreatePasses(Argument *argument, const std::vector &passes); std::unique_ptr graph_; std::vector> passes_; }; } // namespace analysis } // namespace inference } // namespace paddle