/** * Copyright 2020 Huawei Technologies Co., Ltd * * 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. */ #ifndef MINDSPORE_CCSRC_COMMON_THREAD_POOL_H_ #define MINDSPORE_CCSRC_COMMON_THREAD_POOL_H_ #include #include #include #include #include #include #include #include #include #include #include #include "utils/log_adapter.h" namespace mindspore { namespace common { enum Status { FAIL = -1, SUCCESS = 0 }; using Task = std::function; class ThreadPool { public: ~ThreadPool(); ThreadPool(const ThreadPool &) = delete; ThreadPool &operator=(const ThreadPool &) = delete; static ThreadPool &GetInstance(); bool SyncRun(const std::vector &tasks); size_t GetSyncRunThreadNum() { return max_thread_num_; } void ClearThreadPool(); private: ThreadPool(); void SyncRunLoop(); size_t max_thread_num_{1}; std::mutex pool_mtx_; std::atomic_bool exit_run_ = {false}; std::queue task_queue_; std::mutex task_mutex_; std::condition_variable task_cond_var_; size_t task_finished_count_{0}; std::condition_variable finished_cond_var_; std::vector sync_run_threads_{}; }; } // namespace common } // namespace mindspore #endif // MINDSPORE_CCSRC_COMMON_THREAD_POOL_H_