caffe網絡在多線程中沒法使用GPU的解決方案 | cpp caffe net run in multiple threads

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cpp caffe net run in multiple threadsgit

Guide

set_mode

Caffe fails to use GPU in a new thread ???
see heregithub

the `Caffe::mode_` variable that controls this is thread-local,
so ensure you’re calling `caffe.set_mode_gpu()` in each thread
before running any Caffe functions. That should solve your issue.

Caffe set_mode GPU 在多線程下失效
在main thread中設置GPU模式,在worker thread中調用網絡進行檢測,
GPU模式不起效,默認仍然使用CPU模式,因此速度很慢,和GPU相比慢了
10倍左右。

解決方案:在子線程中set_mode,而後調用網絡進行檢測。
(1)建立網絡在main thread。static 網絡存儲在全局靜態數據區。
worker thread能夠直接使用。
(2) 在worker thread中檢測,須要在子線程中set_mode,而後調用網絡進行檢測。

結論:
(1)caffe的set_mode所在的線程必須和使用nets進行forward的線程相同。不然默認使用CPU模式,速度會很慢。
(2)caffe的nets初始化能夠在main thread也能夠在worker thread。

code example

#include <iostream>
#include <string>
#include <thread>

#include <gtest/gtest.h>
#include <glog/logging.h>

#include <boost/date_time/posix_time/posix_time.hpp>  

// opencv
#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>

using namespace std;

#include "algorithm/algorithm.h"
using namespace kezunlin::algorithm;

#pragma region net-demo

void topwire_demo(bool run_in_worker_thread)
{
    if (run_in_worker_thread) {
        CaffeApi::set_mode(true, 0, 1234);// set in worker thread-1, use GPU-0
    }
    
    // do net detect 
    // ...
}

void railway_demo(bool run_in_worker_thread)
{
    if (run_in_worker_thread) {
        CaffeApi::set_mode(true, 0, 1234);// set in worker thread-1, use GPU-0
    }
    
    // do net detect 
    // ...
}

void sidewall_demo(bool run_in_worker_thread)
{
    if (run_in_worker_thread) {
        CaffeApi::set_mode(true, 0, 1234);// set in worker thread-1, use GPU-0
    }

    // do net detect 
    // ...
}

void lockcatch_demo(bool run_in_worker_thread)
{
    if (run_in_worker_thread) {
        CaffeApi::set_mode(true, 0, 1234);// set in worker thread-1, use GPU-0
    }

    // do net detect 
    // ...
}

#pragma endregion


#pragma region worker-thread-demo

void worker_thread_topwire_demo(bool run_in_worker_thread)
{
    std::thread thr(topwire_demo, run_in_worker_thread);
    thr.join();
}

void worker_thread_railway_demo(bool run_in_worker_thread)
{
    std::thread thr(railway_demo, run_in_worker_thread);
    thr.join();
}

void worker_thread_sidewall_demo(bool run_in_worker_thread)
{
    std::thread thr(sidewall_demo, run_in_worker_thread);
    thr.join();
}

void worker_thread_lockcatch_demo(bool run_in_worker_thread)
{
    std::thread thr(lockcatch_demo, run_in_worker_thread);
    thr.join();
}

#pragma endregion

enum DETECT_TYPE {
    SET_IN_MAIN_DETECT_IN_MAIN, // 主線程set_mode,主線程檢測,40ms左右,使用GPU
    SET_IN_WORKER_DETECT_IN_WORKER, // 子線程set_mode,子線程檢測,40ms左右,使用GPU
    SET_IN_MAIN_DETECT_IN_WORKER // 主線程set_mode,子線程檢測,400ms左右,慢了10倍左右,沒有使用GPU
};

void thread_demo()
{
    DETECT_TYPE detect_type = SET_IN_MAIN_DETECT_IN_MAIN;
    detect_type = SET_IN_WORKER_DETECT_IN_WORKER;
    detect_type = SET_IN_MAIN_DETECT_IN_WORKER;

    init_algorithm_api();

    switch (detect_type)
    {
    case SET_IN_MAIN_DETECT_IN_MAIN:
        topwire_demo(false);
        railway_demo(false);
        sidewall_demo(false);
        lockcatch_demo(false);
        break;
    case SET_IN_WORKER_DETECT_IN_WORKER:
        worker_thread_topwire_demo(true);
        worker_thread_railway_demo(true);
        worker_thread_sidewall_demo(true);
        worker_thread_lockcatch_demo(true);
        break;
    case SET_IN_MAIN_DETECT_IN_WORKER:
        worker_thread_topwire_demo(false);
        worker_thread_railway_demo(false);
        worker_thread_sidewall_demo(false);
        worker_thread_lockcatch_demo(false);
        break;
    default:
        break;
    }

    free_algorithm_api();
}

void test_algorithm_api()
{
    thread_demo();
}

TEST(algorithn_test, test_algorithm_api) {
    test_algorithm_api();
}
  • SET_IN_MAIN_DETECT_IN_MAIN, // 主線程set_mode,主線程檢測,40ms左右,使用GPU
  • SET_IN_WORKER_DETECT_IN_WORKER, // 子線程set_mode,子線程檢測,40ms左右,使用GPU
  • SET_IN_MAIN_DETECT_IN_WORKER // 主線程set_mode,子線程檢測,400ms左右,慢了10倍左右,沒有使用GPU

Reference

History

  • 20180712: created.

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