forked from huawei/mindspore2022
69 lines
1.9 KiB
C++
69 lines
1.9 KiB
C++
/**
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* Copyright 2020-2022 Huawei Technologies Co., Ltd
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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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*/
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#ifndef MINDSPORE_CCSRC_INCLUDE_COMMON_THREAD_POOL_H_
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#define MINDSPORE_CCSRC_INCLUDE_COMMON_THREAD_POOL_H_
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#include <mutex>
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#include <condition_variable>
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#include <thread>
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#include <vector>
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#include <queue>
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#include <string>
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#include <atomic>
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#include <memory>
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#include <utility>
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#include <functional>
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#include <iostream>
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#include "utils/log_adapter.h"
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#include "include/common/visible.h"
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namespace mindspore {
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namespace common {
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enum Status { FAIL = -1, SUCCESS = 0 };
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using Task = std::function<Status()>;
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struct ThreadContext {
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std::mutex mutex;
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std::condition_variable cond_var;
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const Task *task{nullptr};
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};
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class COMMON_EXPORT ThreadPool {
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public:
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~ThreadPool();
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ThreadPool(const ThreadPool &) = delete;
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ThreadPool &operator=(const ThreadPool &) = delete;
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static ThreadPool &GetInstance();
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bool SyncRun(const std::vector<Task> &tasks);
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size_t GetSyncRunThreadNum() const { return max_thread_num_; }
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void ClearThreadPool();
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private:
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ThreadPool();
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void SyncRunLoop(const std::shared_ptr<ThreadContext> &context);
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size_t max_thread_num_{1};
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std::mutex pool_mtx_;
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std::atomic_bool exit_run_ = {false};
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std::vector<std::thread> sync_run_threads_{};
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std::vector<std::shared_ptr<ThreadContext>> contexts_;
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};
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} // namespace common
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_INCLUDE_COMMON_THREAD_POOL_H_
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