mirror of
https://github.com/kvcache-ai/ktransformers.git
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149 lines
No EOL
5 KiB
C++
149 lines
No EOL
5 KiB
C++
/**
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* @Description :
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* @Author : chenht2022
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* @Date : 2024-07-22 02:03:05
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* @Version : 1.0.0
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* @LastEditors : chenht2022
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* @LastEditTime : 2024-07-25 10:33:34
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* @Copyright (c) 2024 by KVCache.AI, All Rights Reserved.
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**/
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#include "backend.h"
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#ifdef USE_NUMA
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#include <numa.h>
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#include <numaif.h>
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thread_local int Backend::numa_node = -1;
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#endif
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thread_local int Backend::thread_local_id = -1;
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Backend::Backend(int max_thread_num) {
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max_thread_num_ = max_thread_num;
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thread_state_.resize(max_thread_num_);
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for (int i = 0; i < max_thread_num_; i++) {
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thread_state_[i].curr = std::make_unique<std::atomic<int>>();
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thread_state_[i].status =
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std::make_unique<std::atomic<ThreadStatus>>(ThreadStatus::WAITING);
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}
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workers_.resize(max_thread_num_);
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for (int i = 1; i < max_thread_num_; i++) {
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workers_[i] = std::thread(&Backend::worker_thread, this, i);
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}
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}
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Backend::~Backend() {
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for (int i = 0; i < max_thread_num_; i++) {
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thread_state_[i].status->store(ThreadStatus::EXIT,
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std::memory_order_release);
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}
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for (int i = 1; i < max_thread_num_; i++) {
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if (workers_[i].joinable()) {
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workers_[i].join();
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}
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}
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}
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int Backend::get_thread_num() { return max_thread_num_; }
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void Backend::do_work_stealing_job(int task_num,
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std::function<void(int)> init_func,
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std::function<void(int)> compute_func,
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std::function<void(int)> finalize_func) {
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init_func_ = init_func;
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compute_func_ = compute_func;
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finalize_func_ = finalize_func;
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thread_num_ = std::min(max_thread_num_, task_num);
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int base = task_num / thread_num_;
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int remain = task_num % thread_num_;
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thread_state_[0].end = base + (0 < remain);
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// 为主线程设置 thread_local_id
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thread_local_id = 0;
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for (int i = 1; i < thread_num_; i++) {
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thread_state_[i].curr->store(thread_state_[i - 1].end,
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std::memory_order_relaxed);
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thread_state_[i].end = thread_state_[i - 1].end + base + (i < remain);
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thread_state_[i].status->store(ThreadStatus::WORKING,
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std::memory_order_release);
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}
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thread_state_[0].curr->store(0, std::memory_order_relaxed);
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thread_state_[0].status->store(ThreadStatus::WORKING,
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std::memory_order_release);
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process_tasks(0);
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for (int i = 1; i < thread_num_; i++) {
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while (thread_state_[i].status->load(std::memory_order_acquire) ==
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ThreadStatus::WORKING) {
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}
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}
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}
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void Backend::process_tasks(int thread_id) {
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#ifdef USE_NUMA
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if(numa_node == -1){
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numa_node = thread_id * numa_num_configured_nodes() / thread_num_;
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struct bitmask* mask = numa_bitmask_alloc(numa_num_configured_nodes());
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numa_bitmask_setbit(mask, numa_node);
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numa_bind(mask);
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}
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#endif
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if (init_func_ != nullptr) {
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init_func_(thread_id);
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}
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while (true) {
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int task_id = thread_state_[thread_id].curr->fetch_add(
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1, std::memory_order_acq_rel);
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if (task_id >= thread_state_[thread_id].end) {
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break;
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}
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compute_func_(task_id);
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}
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for (int t_offset = 1; t_offset < thread_num_; t_offset++) {
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int t_i = (thread_id + t_offset) % thread_num_;
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if (thread_state_[t_i].status->load(std::memory_order_acquire) !=
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ThreadStatus::WORKING) {
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continue;
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}
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while (true) {
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int task_id = thread_state_[t_i].curr->fetch_add(
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1, std::memory_order_acq_rel);
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if (task_id >= thread_state_[t_i].end) {
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break;
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}
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compute_func_(task_id);
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}
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}
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if (finalize_func_ != nullptr) {
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finalize_func_(thread_id);
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}
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thread_state_[thread_id].status->store(ThreadStatus::WAITING,
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std::memory_order_release);
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}
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void Backend::worker_thread(int thread_id) {
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auto start = std::chrono::steady_clock::now();
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thread_local_id = thread_id; // 设置线程本地变量
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while (true) {
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ThreadStatus status =
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thread_state_[thread_id].status->load(std::memory_order_acquire);
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if (status == ThreadStatus::WORKING) {
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process_tasks(thread_id);
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start = std::chrono::steady_clock::now();
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} else if (status == ThreadStatus::WAITING) {
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auto now = std::chrono::steady_clock::now();
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auto duration =
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std::chrono::duration_cast<std::chrono::milliseconds>(now -
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start)
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.count();
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if (duration > 50) {
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std::this_thread::sleep_for(std::chrono::milliseconds(1));
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}
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} else if (status == ThreadStatus::EXIT) {
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return;
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}
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}
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} |