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https://github.com/RetroDECK/Duckstation.git
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Common: Remove ThreadPool class
No longer needed.
This commit is contained in:
parent
5b00ffb6cb
commit
6f66460ec0
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# Source: https://github.com/stenzek/duckstation/issues/626#issuecomment-660718306
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# Target system
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SET(CMAKE_SYSTEM_NAME Linux)
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SET(CMAKE_SYSTEM_PROCESSOR aarch64)
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SET(CMAKE_SYSTEM_VERSION 1)
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set(CMAKE_CROSSCOMPILING TRUE)
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# Cross compiler
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SET(CMAKE_C_COMPILER aarch64-linux-gnu-gcc)
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SET(CMAKE_CXX_COMPILER aarch64-linux-gnu-g++)
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set(CMAKE_LIBRARY_ARCHITECTURE aarch64-linux-gnu)
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set(THREADS_PTHREAD_ARG "0" CACHE STRING "Result from TRY_RUN" FORCE)
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@ -1,14 +0,0 @@
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# Source: https://github.com/stenzek/duckstation/issues/626#issuecomment-660718306
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# Target system
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SET(CMAKE_SYSTEM_NAME Linux)
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SET(CMAKE_SYSTEM_PROCESSOR armv7l)
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SET(CMAKE_SYSTEM_VERSION 1)
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set(CMAKE_CROSSCOMPILING TRUE)
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# Cross compiler
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SET(CMAKE_C_COMPILER arm-linux-gnueabihf-gcc)
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SET(CMAKE_CXX_COMPILER arm-linux-gnueabihf-g++)
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set(CMAKE_LIBRARY_ARCHITECTURE arm-linux-gnueabihf)
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set(THREADS_PTHREAD_ARG "0" CACHE STRING "Result from TRY_RUN" FORCE)
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@ -49,8 +49,6 @@ add_library(common
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small_string.h
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string_util.cpp
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string_util.h
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thirdparty/thread_pool.cpp
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thirdparty/thread_pool.h
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threading.cpp
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threading.h
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timer.cpp
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111
src/common/thirdparty/thread_pool.cpp
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111
src/common/thirdparty/thread_pool.cpp
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@ -1,111 +0,0 @@
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// From https://raw.githubusercontent.com/cbraley/threadpool/master/src/thread_pool.cc
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#include "thread_pool.h"
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#include <cassert>
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namespace cb {
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// static
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unsigned int ThreadPool::GetNumLogicalCores() {
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// TODO(cbraley): Apparently this is broken in some older stdlib
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// implementations?
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const unsigned int dflt = std::thread::hardware_concurrency();
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if (dflt == 0) {
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// TODO(cbraley): Return some error code instead.
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return 16;
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} else {
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return dflt;
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}
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}
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ThreadPool::~ThreadPool() {
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// TODO(cbraley): The current thread could help out to drain the work_ queue
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// faster - for example, if there is work that hasn't yet been scheduled this
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// thread could "pitch in" to help finish faster.
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{
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std::lock_guard<std::mutex> scoped_lock(mu_);
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exit_ = true;
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}
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condvar_.notify_all(); // Tell *all* workers we are ready.
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for (std::thread& thread : workers_) {
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thread.join();
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}
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}
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void ThreadPool::Wait() {
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std::unique_lock<std::mutex> lock(mu_);
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if (!work_.empty()) {
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work_done_condvar_.wait(lock, [this] { return work_.empty(); });
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}
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}
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ThreadPool::ThreadPool(int num_workers)
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: num_workers_(num_workers), exit_(false) {
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assert(num_workers_ > 0);
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// TODO(cbraley): Handle thread construction exceptions.
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workers_.reserve(num_workers_);
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for (int i = 0; i < num_workers_; ++i) {
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workers_.emplace_back(&ThreadPool::ThreadLoop, this);
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}
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}
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void ThreadPool::Schedule(std::function<void(void)> func) {
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ScheduleAndGetFuture(std::move(func)); // We ignore the returned std::future.
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}
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void ThreadPool::ThreadLoop() {
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// Wait until the ThreadPool sends us work.
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while (true) {
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WorkItem work_item;
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int prev_work_size = -1;
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{
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std::unique_lock<std::mutex> lock(mu_);
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condvar_.wait(lock, [this] { return exit_ || (!work_.empty()); });
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// ...after the wait(), we hold the lock.
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// If all the work is done and exit_ is true, break out of the loop.
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if (exit_ && work_.empty()) {
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break;
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}
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// Pop the work off of the queue - we are careful to execute the
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// work_item.func callback only after we have released the lock.
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prev_work_size = work_.size();
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work_item = std::move(work_.front());
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work_.pop();
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}
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// We are careful to do the work without the lock held!
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// TODO(cbraley): Handle exceptions properly.
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work_item.func(); // Do work.
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if (work_done_callback_) {
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work_done_callback_(prev_work_size - 1);
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}
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// Notify a condvar is all work is done.
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{
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std::unique_lock<std::mutex> lock(mu_);
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if (work_.empty() && prev_work_size == 1) {
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work_done_condvar_.notify_all();
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}
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}
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}
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}
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int ThreadPool::OutstandingWorkSize() const {
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std::lock_guard<std::mutex> scoped_lock(mu_);
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return work_.size();
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}
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int ThreadPool::NumWorkers() const { return num_workers_; }
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void ThreadPool::SetWorkDoneCallback(std::function<void(int)> func) {
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work_done_callback_ = std::move(func);
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}
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} // namespace cb
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234
src/common/thirdparty/thread_pool.h
vendored
234
src/common/thirdparty/thread_pool.h
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// From https://raw.githubusercontent.com/cbraley/threadpool/master/src/thread_pool.h
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#ifndef SRC_THREAD_POOL_H_
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#define SRC_THREAD_POOL_H_
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// A simple thread pool class.
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// Usage examples:
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//
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// {
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// ThreadPool pool(16); // 16 worker threads.
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// for (int i = 0; i < 100; ++i) {
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// pool.Schedule([i]() {
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// DoSlowExpensiveOperation(i);
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// });
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// }
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//
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// // `pool` goes out of scope here - the code will block in the ~ThreadPool
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// // destructor until all work is complete.
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// }
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//
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// // TODO(cbraley): Add examples with std::future.
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#include <condition_variable>
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#include <functional>
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#include <future>
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#include <mutex>
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#include <queue>
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#include <thread>
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#include <vector>
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// We want to use std::invoke if C++17 is available, and fallback to "hand
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// crafted" code if std::invoke isn't available.
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#if __cplusplus >= 201703L
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#define INVOKE_MACRO(CALLABLE, ARGS_TYPE, ARGS) std::invoke(CALLABLE, std::forward<ARGS_TYPE>(ARGS)...)
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#elif __cplusplus >= 201103L
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// Update this with http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2014/n4169.html.
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#define INVOKE_MACRO(CALLABLE, ARGS_TYPE, ARGS) CALLABLE(std::forward<ARGS_TYPE>(ARGS)...)
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#else
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#error ("C++ version is too old! C++98 is not supported.")
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#endif
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namespace cb {
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class ThreadPool {
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public:
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// Create a thread pool with `num_workers` dedicated worker threads.
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explicit ThreadPool(int num_workers);
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// Default construction is disallowed.
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ThreadPool() = delete;
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// Get the number of logical cores on the CPU. This is implemented using
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// std::thread::hardware_concurrency().
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// https://en.cppreference.com/w/cpp/thread/thread/hardware_concurrency
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static unsigned int GetNumLogicalCores();
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// The `ThreadPool` destructor blocks until all outstanding work is complete.
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~ThreadPool();
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// No copying, assigning, or std::move-ing.
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ThreadPool& operator=(const ThreadPool&) = delete;
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ThreadPool(const ThreadPool&) = delete;
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ThreadPool(ThreadPool&&) = delete;
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ThreadPool& operator=(ThreadPool&&) = delete;
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// Add the function `func` to the thread pool. `func` will be executed at some
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// point in the future on an arbitrary thread.
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void Schedule(std::function<void(void)> func);
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// Add `func` to the thread pool, and return a std::future that can be used to
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// access the function's return value.
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//
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// *** Usage example ***
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// Don't be alarmed by this function's tricky looking signature - this is
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// very easy to use. Here's an example:
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//
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// int ComputeSum(std::vector<int>& values) {
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// int sum = 0;
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// for (const int& v : values) {
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// sum += v;
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// }
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// return sum;
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// }
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//
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// ThreadPool pool = ...;
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// std::vector<int> numbers = ...;
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//
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// std::future<int> sum_future = ScheduleAndGetFuture(
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// []() {
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// return ComputeSum(numbers);
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// });
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//
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// // Do other work...
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//
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// std::cout << "The sum is " << sum_future.get() << std::endl;
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//
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// *** Details ***
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// Given a callable `func` that returns a value of type `RetT`, this
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// function returns a std::future<RetT> that can be used to access
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// `func`'s results.
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template <typename FuncT, typename... ArgsT>
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auto ScheduleAndGetFuture(FuncT&& func, ArgsT&&... args)
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-> std::future<decltype(INVOKE_MACRO(func, ArgsT, args))>;
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// Wait for all outstanding work to be completed.
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void Wait();
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// Return the number of outstanding functions to be executed.
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int OutstandingWorkSize() const;
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// Return the number of threads in the pool.
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int NumWorkers() const;
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void SetWorkDoneCallback(std::function<void(int)> func);
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private:
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void ThreadLoop();
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// Number of worker threads - fixed at construction time.
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int num_workers_;
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// The destructor sets `exit_` to true and then notifies all workers. `exit_`
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// causes each thread to break out of their work loop.
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bool exit_;
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mutable std::mutex mu_;
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// Work queue. Guarded by `mu_`.
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struct WorkItem {
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std::function<void(void)> func;
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};
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std::queue<WorkItem> work_;
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// Condition variable used to notify worker threads that new work is
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// available.
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std::condition_variable condvar_;
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// Worker threads.
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std::vector<std::thread> workers_;
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// Condition variable used to notify that all work is complete - the work
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// queue has "run dry".
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std::condition_variable work_done_condvar_;
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// Whenever a work item is complete, we call this callback. If this is empty,
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// nothing is done.
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std::function<void(int)> work_done_callback_;
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};
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namespace impl {
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// This helper class simply returns a std::function that executes:
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// ReturnT x = func();
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// promise->set_value(x);
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// However, this is tricky in the case where T == void. The code above won't
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// compile if ReturnT == void, and neither will
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// promise->set_value(func());
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// To workaround this, we use a template specialization for the case where
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// ReturnT is void. If the "regular void" proposal is accepted, this could be
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// simpler:
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// http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2016/p0146r1.html.
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// The non-specialized `FuncWrapper` implementation handles callables that
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// return a non-void value.
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template <typename ReturnT>
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struct FuncWrapper {
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template <typename FuncT, typename... ArgsT>
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std::function<void()> GetWrapped(
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FuncT&& func, std::shared_ptr<std::promise<ReturnT>> promise,
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ArgsT&&... args) {
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// TODO(cbraley): Capturing by value is inefficient. It would be more
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// efficient to move-capture everything, but we can't do this until C++14
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// generalized lambda capture is available. Can we use std::bind instead to
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// make this more efficient and still use C++11?
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return [promise, func, args...]() mutable {
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promise->set_value(INVOKE_MACRO(func, ArgsT, args));
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};
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}
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};
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template <typename FuncT, typename... ArgsT>
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void InvokeVoidRet(FuncT&& func, std::shared_ptr<std::promise<void>> promise,
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ArgsT&&... args) {
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INVOKE_MACRO(func, ArgsT, args);
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promise->set_value();
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}
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// This `FuncWrapper` specialization handles callables that return void.
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template <>
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struct FuncWrapper<void> {
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template <typename FuncT, typename... ArgsT>
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std::function<void()> GetWrapped(FuncT&& func,
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std::shared_ptr<std::promise<void>> promise,
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ArgsT&&... args) {
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return [promise, func, args...]() mutable {
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INVOKE_MACRO(func, ArgsT, args);
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promise->set_value();
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};
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}
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};
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} // namespace impl
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template <typename FuncT, typename... ArgsT>
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auto ThreadPool::ScheduleAndGetFuture(FuncT&& func, ArgsT&&... args)
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-> std::future<decltype(INVOKE_MACRO(func, ArgsT, args))> {
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using ReturnT = decltype(INVOKE_MACRO(func, ArgsT, args));
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// We are only allocating this std::promise in a shared_ptr because
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// std::promise is non-copyable.
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std::shared_ptr<std::promise<ReturnT>> promise =
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std::make_shared<std::promise<ReturnT>>();
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std::future<ReturnT> ret_future = promise->get_future();
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impl::FuncWrapper<ReturnT> func_wrapper;
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std::function<void()> wrapped_func = func_wrapper.GetWrapped(
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std::move(func), std::move(promise), std::forward<ArgsT>(args)...);
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// Acquire the lock, and then push the WorkItem onto the queue.
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{
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std::lock_guard<std::mutex> scoped_lock(mu_);
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WorkItem work;
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work.func = std::move(wrapped_func);
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work_.emplace(std::move(work));
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}
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condvar_.notify_one(); // Tell one worker we are ready.
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return ret_future;
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}
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} // namespace cb
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#undef INVOKE_MACRO
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#endif // SRC_THREAD_POOL_H_
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