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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. 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.
*/
#ifndef __NEURUN_EXEC_THREAD_POOL_H__
#define __NEURUN_EXEC_THREAD_POOL_H__
#include <thread>
#include <memory>
#include <vector>
#include "WorkQueue.h"
namespace neurun
{
namespace exec
{
class ThreadPool
{
public:
/**
* @brief Coustruct ThreadPool object
*
* @param num_threads Number of threads
*/
ThreadPool(uint32_t num_threads = 1);
/**
* @brief Destroy ThreadPool object
*/
~ThreadPool();
/**
* @brief Enqueue a function
*
* @param fn A function to be queued
*/
void enqueue(std::unique_ptr<IFunction> &&fn);
/**
* @brief Get number of jobs in worker's queue
*
* @return Number of jobs
*/
uint32_t numJobsInQueue();
/**
* @brief Block until all jobs are finished
*/
void finish();
private:
void join();
private:
WorkQueue _worker;
std::vector<std::thread> _threads;
};
} // namespace exec
} // namespace neurun
#endif // __NEURUN_EXEC_THREAD_POOL_H__
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