mirror of
https://github.com/open-mmlab/mmdeploy.git
synced 2025-01-14 08:09:43 +08:00
* executor prototype * add split/when_all * fix GCC build * WIP let_value * fix let_value * WIP ensure_started * ensure_started & start_detached * fix let_value + when_all combo on MSVC 142 * fix static thread pool * generic just, then, let_value, sync_wait * minor * generic split and when_all * fully generic sender adapters * when_all: workaround for GCC7 * support legacy spdlog * fix memleak * bulk * static detector * fix bulk & first pipeline * bulk for static thread pools * fix on MSVC * WIP async batch submission * WIP collation * async batch * fix detector * fix async detector * fix * fix * debug * fix cuda allocator * WIP type erased executor * better type erasure * simplify C API impl * Expand & type erase TC * deduction guide for type erased senders * fix GCC build * when_all for arrays of Value senders * WIP pipeline v2 * WIP pipeline parser * WIP timed batch operation * add registry * experiment * fix pipeline * naming * fix mem-leak * fix deferred batch operation * WIP * WIP configurable scheduler * WIP configurable scheduler * add comment * parse scheduler config * force link schedulers * WIP pipeable sender * WIP CPO * ADL isolation and dismantle headers * type erase single thread context * fix MSVC build * CPO * replace decay_t with remove_cvref_t * structure adjustment * structure adjustment * apply CPOs & C API rework * refine C API * detector async C API * adjust detector async C API * # Conflicts: # csrc/apis/c/detector.cpp * fix when_all for type erased senders * support void return for Then * async detector * fix some CPOs * minor * WIP rework capture mechanism for type erased types * minor fix * fix MSVC build * move expand.h to execution * make `Expand` pipeable * fix type erased * un-templatize `_TypeErasedOperation` * re-work C API * remove async_detector C API * fix pipeline * add flatten & unflatten * fix flatten & unflatten * add aync OCR demo * config executor for nodes & better executor API * working async OCR example * minor * dynamic batch via scheduler * dynamic batch on `Value` * fix MSVC build * type erase dynamic batch scheduler * sender as Python Awaitable * naming * naming * add docs * minor * merge tmp branch * unify C APIs * fix ocr * unify APIs * fix typo * update async OCR demo * add v3 API text recognizer * fix v3 API * fix lint * add license info & reformat * add demo async_ocr_v2 * revert files * revert files * resolve link issues * fix scheduler linkage for shared libs * fix license header * add docs for `mmdeploy_executor_split` * add missing `mmdeploy_executor_transfer_just` and `mmdeploy_executor_execute` * make `TimedSingleThreadContext` header only * fix lint * simplify type-erased sender
152 lines
3.4 KiB
C++
152 lines
3.4 KiB
C++
// Copyright (c) OpenMMLab. All rights reserved.
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// Modified from
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// https://github.com/brycelelbach/wg21_p2300_std_execution/blob/main/include/execution.hpp
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#ifndef MMDEPLOY_CSRC_EXPERIMENTAL_EXECUTION_RUN_LOOP_H_
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#define MMDEPLOY_CSRC_EXPERIMENTAL_EXECUTION_RUN_LOOP_H_
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#include <condition_variable>
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#include <mutex>
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#include "utility.h"
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namespace mmdeploy {
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namespace __loop {
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class RunLoop;
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namespace __impl {
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struct _Task {
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virtual void _Execute() noexcept = 0;
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_Task* next_ = nullptr;
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};
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template <typename Receiver>
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struct _Operation {
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struct type;
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};
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template <typename Receiver>
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using operation_t = typename _Operation<remove_cvref_t<Receiver>>::type;
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template <typename Receiver>
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struct _Operation<Receiver>::type final : _Task {
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friend void tag_invoke(start_t, type& op_state) noexcept { op_state._Start(); }
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void _Execute() noexcept override { SetValue(std::move(receiver_)); }
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void _Start() noexcept;
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Receiver receiver_;
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RunLoop* const loop_;
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public:
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template <class _Receiver2>
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explicit type(_Receiver2&& receiver, RunLoop* loop)
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: receiver_((_Receiver2 &&) receiver), loop_(loop) {}
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};
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} // namespace __impl
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class RunLoop {
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template <typename>
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friend struct __impl::_Operation;
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public:
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class _Scheduler {
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class _ScheduleTask {
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friend _Scheduler;
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template <typename Receiver>
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friend __impl::operation_t<Receiver> tag_invoke(connect_t, const _ScheduleTask& self,
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Receiver&& receiver) {
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return __impl::operation_t<Receiver>{(Receiver &&) receiver, self.loop_};
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}
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RunLoop* const loop_;
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public:
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explicit _ScheduleTask(RunLoop* loop) noexcept : loop_(loop) {}
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using value_types = std::tuple<>;
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};
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friend RunLoop;
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explicit _Scheduler(RunLoop* loop) noexcept : loop_(loop) {}
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public:
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bool operator==(const _Scheduler& other) const noexcept { return loop_ == other.loop_; }
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private:
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friend _ScheduleTask tag_invoke(schedule_t, const _Scheduler& self) {
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return _ScheduleTask{self.loop_};
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}
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RunLoop* loop_;
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};
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_Scheduler GetScheduler() { return _Scheduler{this}; }
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void _Run();
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void _Finish();
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private:
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void _push_back(__impl::_Task* task);
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__impl::_Task* _pop_front();
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std::mutex mutex_;
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std::condition_variable cv_;
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__impl::_Task* head_ = nullptr;
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__impl::_Task* tail_ = nullptr;
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bool stop_ = false;
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};
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namespace __impl {
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template <typename Receiver>
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inline void _Operation<Receiver>::type::_Start() noexcept {
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loop_->_push_back(this);
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}
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} // namespace __impl
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inline void RunLoop::_Run() {
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while (auto* task = _pop_front()) {
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task->_Execute();
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}
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}
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inline void RunLoop::_Finish() {
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std::lock_guard lock{mutex_};
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stop_ = true;
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cv_.notify_all();
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}
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inline void RunLoop::_push_back(__impl::_Task* task) {
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std::lock_guard lock{mutex_};
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if (head_ == nullptr) {
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head_ = task;
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} else {
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tail_->next_ = task;
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}
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tail_ = task;
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task->next_ = nullptr;
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cv_.notify_one();
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}
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inline __impl::_Task* RunLoop::_pop_front() {
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std::unique_lock lock{mutex_};
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while (head_ == nullptr) {
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if (stop_) {
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return nullptr;
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}
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cv_.wait(lock);
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}
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auto* task = head_;
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head_ = task->next_;
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if (head_ == nullptr) {
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tail_ = nullptr;
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}
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return task;
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}
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} // namespace __loop
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using RunLoop = __loop::RunLoop;
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} // namespace mmdeploy
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#endif // MMDEPLOY_CSRC_EXPERIMENTAL_EXECUTION_RUN_LOOP_H_
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