/* Copyright (c) 2016 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 "paddle/fluid/framework/op_info.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/platform/device_context.h" namespace paddle { namespace framework { struct ExecutorPrepareContext { ExecutorPrepareContext(const framework::ProgramDesc& prog, size_t block_id); ~ExecutorPrepareContext(); const framework::ProgramDesc& prog_; size_t block_id_; std::vector> ops_; }; class Executor { public: // TODO(dzhwinter) : Do not rely on this function, it will be removed explicit Executor(const platform::DeviceContext& device) : Executor(device.GetPlace()) {} explicit Executor(const platform::Place& place); /* @Brief * Runtime evaluation of the given ProgramDesc under certain Scope * * @param * ProgramDesc * Scope */ void Run(const ProgramDesc& prog, Scope* scope, int block_id, bool create_local_scope = true, bool create_vars = true); void Run(const ProgramDesc& program, Scope* scope, std::map& feed_targets, std::map& fetch_targets, const std::string& feed_holder_name = "feed", const std::string& fetch_holder_name = "fetch"); static std::unique_ptr Prepare( const ProgramDesc& program, int block_id); void RunPreparedContext(ExecutorPrepareContext* ctx, Scope* scope, bool create_local_scope = true, bool create_vars = true); private: const platform::Place place_; }; } // namespace framework } // namespace paddle