// 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. #pragma once #include #include #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/platform/device_context.h" namespace paddle { namespace framework { /* * Simple, intuitive and effective. Only single thread is supported, and * currently designed for inference. */ class NaiveExecutor { public: explicit NaiveExecutor(const platform::Place& place) : place_(place) {} // Create child scope. // Create variables. // @with_feed_fetch_ops: whether to work with the feed and fetch operators. void Prepare(Scope* scope, const ProgramDesc& program_desc, int block_id, bool with_feed_fetch_ops); // Create variables before head. // Create parameters if persistable is ture, or create the temporary variables // instead. void CreateVariables(const ProgramDesc& desc, int block_id, bool persistable, Scope* scope); // Run all the operators. void Run(); // Get an tensor to operating directly, without the need for feed_ops. LoDTensor* FindTensor(const std::string& name); Scope* scope() { return scope_; } void CleanFeedFetchOps(); protected: void CreateOps(const ProgramDesc& desc, int block_id, bool with_feed_fetch_ops); private: const platform::Place place_; // Catch the required resource to avoid recreate. std::vector> ops_; Scope* scope_; }; } // namespace framework } // namespace paddle