438 lines
17 KiB
C++
438 lines
17 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2020-2021 Intel Corporation
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#include "gtbbexecutor.hpp"
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#if defined(HAVE_TBB) && (TBB_INTERFACE_VERSION < 12000)
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// TODO: TBB task API has been deprecated and removed in 12000
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#include "utils/itt.hpp"
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#include <opencv2/gapi/own/assert.hpp>
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#include <opencv2/gapi/util/copy_through_move.hpp>
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#include "logger.hpp" // GAPI_LOG
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#include <tbb/task.h>
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#include <memory> // unique_ptr
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#include <atomic>
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#include <condition_variable>
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#include <chrono>
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#define ASSERT(expr) GAPI_DbgAssert(expr)
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#define LOG_INFO(tag, ...) GAPI_LOG_INFO(tag, __VA_ARGS__)
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#define LOG_WARNING(tag, ...) GAPI_LOG_WARNING(tag, __VA_ARGS__)
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#define LOG_DEBUG(tag, ...) GAPI_LOG_DEBUG(tag, __VA_ARGS__)
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namespace cv { namespace gimpl { namespace parallel {
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namespace detail {
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// some helper staff to deal with tbb::task related entities
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namespace tasking {
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enum class use_tbb_scheduler_bypass {
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NO,
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YES
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};
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inline void assert_graph_is_running(tbb::task* root) {
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// tbb::task::wait_for_all block calling thread until task ref_count is dropped to 1
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// So if the root task ref_count is greater than 1 graph still has a job to do and
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// according wait_for_all() has not yet returned
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ASSERT(root->ref_count() > 1);
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}
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// made template to break circular dependencies
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template<typename body_t>
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struct functor_task : tbb::task {
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body_t body;
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template<typename arg_t>
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functor_task(arg_t&& a) : body(std::forward<arg_t>(a)) {}
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tbb::task * execute() override {
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assert_graph_is_running(parent());
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auto reuse_current_task = body();
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// if needed, say TBB to execute current task once again
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return (use_tbb_scheduler_bypass::YES == reuse_current_task) ? (recycle_as_continuation(), this) : nullptr;
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}
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~functor_task() {
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assert_graph_is_running(parent());
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}
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};
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template<typename body_t>
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auto allocate_task(tbb::task* root, body_t const& body) -> functor_task<body_t>* {
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return new(tbb::task::allocate_additional_child_of(*root)) functor_task<body_t>{body};
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}
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template<typename body_t>
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void spawn_no_assert(tbb::task* root, body_t const& body) {
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tbb::task::spawn(* allocate_task(root, body));
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}
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template<typename body_t>
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void batch_spawn(size_t count, tbb::task* root, body_t const& body, bool do_assert_graph_is_running = true) {
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GAPI_ITT_STATIC_LOCAL_HANDLE(ittTbbSpawnReadyBlocks, "spawn ready blocks");
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GAPI_ITT_AUTO_TRACE_GUARD(ittTbbSpawnReadyBlocks);
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if (do_assert_graph_is_running) {
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assert_graph_is_running(root);
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}
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for (size_t i=0; i<count; i++) {
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spawn_no_assert(root, body);
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}
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}
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struct destroy_tbb_task {
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void operator()(tbb::task* t) const { if (t) tbb::task::destroy(*t);};
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};
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using root_t = std::unique_ptr<tbb::task, destroy_tbb_task>;
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root_t inline create_root(tbb::task_group_context& ctx) {
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root_t root{new (tbb::task::allocate_root(ctx)) tbb::empty_task};
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root->set_ref_count(1); // required by wait_for_all, as it waits until counter drops to 1
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return root;
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}
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std::size_t inline tg_context_traits() {
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// Specify tbb::task_group_context::concurrent_wait in the traits to ask TBB scheduler not to change
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// ref_count of the task we wait on (root) when wait is complete.
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return tbb::task_group_context::default_traits | tbb::task_group_context::concurrent_wait;
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}
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} // namespace tasking
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namespace async {
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struct async_tasks_t {
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std::atomic<size_t> count {0};
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std::condition_variable cv;
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std::mutex mtx;
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};
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enum class wake_tbb_master {
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NO,
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YES
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};
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void inline wake_master(async_tasks_t& async_tasks, wake_tbb_master wake_master) {
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// TODO: seems that this can be relaxed
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auto active_async_tasks = --async_tasks.count;
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if ((active_async_tasks == 0) || (wake_master == wake_tbb_master::YES)) {
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// Was the last async task or asked to wake TBB master up(e.g. there are new TBB tasks to execute)
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GAPI_ITT_STATIC_LOCAL_HANDLE(ittTbbUnlockMasterThread, "Unlocking master thread");
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GAPI_ITT_AUTO_TRACE_GUARD(ittTbbUnlockMasterThread);
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// While decrement of async_tasks_t::count is atomic, it might occur after the waiting
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// thread has read its value but _before_ it actually starts waiting on the condition variable.
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// So, lock acquire is needed to guarantee that current condition check (if any) in the waiting thread
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// (possibly ran in parallel to async_tasks_t::count decrement above) is completed _before_ signal is issued.
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// Therefore when notify_one is called, waiting thread is either sleeping on the condition variable or
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// running a new check which is guaranteed to pick the new value and return from wait().
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// There is no need to _hold_ the lock while signaling, only to acquire it.
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std::unique_lock<std::mutex> {async_tasks.mtx}; // Acquire and release the lock.
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async_tasks.cv.notify_one();
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}
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}
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struct master_thread_sleep_lock_t
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{
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struct sleep_unlock {
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void operator()(async_tasks_t* t) const {
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ASSERT(t);
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wake_master(*t, wake_tbb_master::NO);
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}
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};
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std::unique_ptr<async_tasks_t, sleep_unlock> guard;
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master_thread_sleep_lock_t() = default;
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master_thread_sleep_lock_t(async_tasks_t* async_tasks_ptr) : guard(async_tasks_ptr) {
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// TODO: seems that this can be relaxed
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++(guard->count);
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}
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void unlock(wake_tbb_master wake) {
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if (auto* p = guard.release()) {
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wake_master(*p, wake);
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}
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}
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};
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master_thread_sleep_lock_t inline lock_sleep_master(async_tasks_t& async_tasks) {
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return {&async_tasks};
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}
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enum class is_tbb_work_present {
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NO,
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YES
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};
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//RAII object to block TBB master thread (one that does wait_for_all())
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//N.B. :wait_for_all() return control when root ref_count drops to 1,
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struct root_wait_lock_t {
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struct root_decrement_ref_count{
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void operator()(tbb::task* t) const {
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ASSERT(t);
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auto result = t->decrement_ref_count();
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ASSERT(result >= 1);
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}
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};
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std::unique_ptr<tbb::task, root_decrement_ref_count> guard;
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root_wait_lock_t() = default;
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root_wait_lock_t(tasking::root_t& root, is_tbb_work_present& previous_state) : guard{root.get()} {
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// Block the master thread while the *this object is alive.
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auto new_root_ref_count = root->add_ref_count(1);
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previous_state = (new_root_ref_count == 2) ? is_tbb_work_present::NO : is_tbb_work_present::YES;
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}
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};
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root_wait_lock_t inline lock_wait_master(tasking::root_t& root, is_tbb_work_present& previous_state) {
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return root_wait_lock_t{root, previous_state};
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}
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} // namespace async
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inline tile_node* pop(prio_items_queue_t& q) {
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tile_node* node = nullptr;
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bool popped = q.try_pop(node);
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ASSERT(popped && "queue should be non empty as we push items to it before we spawn");
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return node;
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}
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namespace graph {
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// Returns : number of items actually pushed into the q
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std::size_t inline push_ready_dependants(prio_items_queue_t& q, tile_node* node) {
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GAPI_ITT_STATIC_LOCAL_HANDLE(ittTbbAddReadyBlocksToQueue, "add ready blocks to queue");
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GAPI_ITT_AUTO_TRACE_GUARD(ittTbbAddReadyBlocksToQueue);
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std::size_t ready_items = 0;
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// enable dependent tasks
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for (auto* dependant : node->dependants) {
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// fetch_and_sub returns previous value
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if (1 == dependant->dependency_count.fetch_sub(1)) {
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// tile node is ready for execution, add it to the queue
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q.push(dependant);
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++ready_items;
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}
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}
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return ready_items;
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}
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struct exec_ctx {
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tbb::task_arena& arena;
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prio_items_queue_t& q;
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tbb::task_group_context tg_ctx;
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tasking::root_t root;
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detail::async::async_tasks_t async_tasks;
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std::atomic<size_t> executed {0};
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exec_ctx(tbb::task_arena& arena_, prio_items_queue_t& q_)
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: arena(arena_), q(q_),
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// As the traits is last argument, explicitly specify (default) value for first argument
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tg_ctx{tbb::task_group_context::bound, tasking::tg_context_traits()},
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root(tasking::create_root(tg_ctx))
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{}
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};
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// At the moment there are no suitable tools to manage TBB priorities on task by task basis.
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// Instead priority queue is used to respect tile_node priorities.
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// As well, TBB task is not bound to any particular tile_node until actually executed.
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// Strictly speaking there are two graphs here:
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// - G-API one, described by the connected tile_node instances.
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// This graph is :
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// - Known beforehand, and do not change during the execution (i.e. static)
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// - Contains both TBB non-TBB parts
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// - prioritized, (i.e. all nodes has assigned priority of execution)
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//
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// - TBB task tree, which is :
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// - flat (Has only two levels : root and leaves)
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// - dynamic, i.e. new leaves are added on demand when new tbb tasks are spawned
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// - describes only TBB/CPU part of the whole graph
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// - non-prioritized (i.e. all tasks are created equal)
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// Class below represents TBB task payload.
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//
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// Each instance basically does the three things :
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// 1. Gets the tile_node item from the top of the queue
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// 2. Executes its body
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// 3. Pushes dependent tile_nodes to the queue once they are ready
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//
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struct task_body {
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exec_ctx& ctx;
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std::size_t push_ready_dependants(tile_node* node) const {
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return graph::push_ready_dependants(ctx.q, node);
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}
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void spawn_clones(std::size_t items) const {
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tasking::batch_spawn(items, ctx.root.get(), *this);
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}
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task_body(exec_ctx& ctx_) : ctx(ctx_) {}
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tasking::use_tbb_scheduler_bypass operator()() const {
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ASSERT(!ctx.q.empty() && "Spawned task with no job to do ? ");
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tile_node* node = detail::pop(ctx.q);
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auto result = tasking::use_tbb_scheduler_bypass::NO;
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// execute the task
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if (auto p = util::get_if<tile_node::sync_task_body>(&(node->task_body))) {
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// synchronous task
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p->body();
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std::size_t ready_items = push_ready_dependants(node);
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if (ready_items > 0) {
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// spawn one less tasks and say TBB to reuse(recycle) current task
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spawn_clones(ready_items - 1);
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result = tasking::use_tbb_scheduler_bypass::YES;
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}
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}
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else {
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LOG_DEBUG(NULL, "Async task");
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using namespace detail::async;
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using util::copy_through_move;
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auto block_master = copy_through_move(lock_sleep_master(ctx.async_tasks));
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auto self_copy = *this;
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auto callback = [node, block_master, self_copy] () mutable /*due to block_master.get().unlock()*/ {
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LOG_DEBUG(NULL, "Async task callback is called");
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// Implicitly unlock master right in the end of callback
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auto master_sleep_lock = std::move(block_master);
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std::size_t ready_items = self_copy.push_ready_dependants(node);
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if (ready_items > 0) {
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auto master_was_active = is_tbb_work_present::NO;
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{
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GAPI_ITT_STATIC_LOCAL_HANDLE(ittTbbEnqueueSpawnReadyBlocks, "enqueueing a spawn of ready blocks");
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GAPI_ITT_AUTO_TRACE_GUARD(ittTbbEnqueueSpawnReadyBlocks);
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// Force master thread (one that does wait_for_all()) to (actively) wait for enqueued tasks
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// and unlock it right after all dependent tasks are spawned.
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auto root_wait_lock = copy_through_move(lock_wait_master(self_copy.ctx.root, master_was_active));
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// TODO: add test to cover proper holding of root_wait_lock
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// As the calling thread most likely is not TBB one, instead of spawning TBB tasks directly we
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// enqueue a task which will spawn them.
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// For master thread to not leave wait_for_all() prematurely,
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// hold the root_wait_lock until need tasks are actually spawned.
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self_copy.ctx.arena.enqueue([ready_items, self_copy, root_wait_lock]() {
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self_copy.spawn_clones(ready_items);
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// TODO: why we need this? Either write a descriptive comment or remove it
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volatile auto unused = root_wait_lock.get().guard.get();
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util::suppress_unused_warning(unused);
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});
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}
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// Wake master thread (if any) to pick up the enqueued tasks iff:
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// 1. there is new TBB work to do, and
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// 2. Master thread was sleeping on condition variable waiting for async tasks to complete
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// (There was no active work before (i.e. root->ref_count() was == 1))
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auto wake_master = (master_was_active == is_tbb_work_present::NO) ?
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wake_tbb_master::YES : wake_tbb_master::NO;
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master_sleep_lock.get().unlock(wake_master);
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}
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};
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auto& body = util::get<tile_node::async_task_body>(node->task_body).body;
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body(std::move(callback), node->total_order_index);
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}
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ctx.executed++;
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// reset dependecy_count to initial state to simplify re-execution of the same graph
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node->dependency_count = node->dependencies;
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return result;
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}
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};
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}
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} // namespace detail
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}}} // namespace cv::gimpl::parallel
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void cv::gimpl::parallel::execute(prio_items_queue_t& q) {
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// get the reference to current task_arena (i.e. one we are running in)
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#if TBB_INTERFACE_VERSION > 9002
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using attach_t = tbb::task_arena::attach;
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#else
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using attach_t = tbb::internal::attach;
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#endif
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tbb::task_arena arena{attach_t{}};
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execute(q, arena);
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}
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void cv::gimpl::parallel::execute(prio_items_queue_t& q, tbb::task_arena& arena) {
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using namespace detail;
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graph::exec_ctx ctx{arena, q};
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arena.execute(
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[&]() {
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// Passed in queue is assumed to contain starting tasks, i.e. ones with no (or resolved) dependencies
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auto num_start_tasks = q.size();
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// TODO: use recursive spawning and task soft affinity for faster task distribution
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// As graph is starting and no task has been spawned yet
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// assert_graph_is_running(root) will not hold, so spawn without assert
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tasking::batch_spawn(num_start_tasks, ctx.root.get(), graph::task_body{ctx}, /* assert_graph_is_running*/false);
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using namespace std::chrono;
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high_resolution_clock timer;
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auto tbb_work_done = [&ctx]() { return 1 == ctx.root->ref_count(); };
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auto async_work_done = [&ctx]() { return 0 == ctx.async_tasks.count; };
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do {
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// First participate in execution of TBB graph till there are no more ready tasks.
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ctx.root->wait_for_all();
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if (!async_work_done()) { // Wait on the conditional variable iff there is active async work
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auto start = timer.now();
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std::unique_lock<std::mutex> lk(ctx.async_tasks.mtx);
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// Wait (probably by sleeping) until all async tasks are completed or new TBB tasks are created.
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// FIXME: Use TBB resumable tasks here to avoid blocking TBB thread
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ctx.async_tasks.cv.wait(lk, [&]{return async_work_done() || !tbb_work_done() ;});
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LOG_INFO(NULL, "Slept for " << duration_cast<milliseconds>(timer.now() - start).count() << " ms \n");
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}
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}
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while(!tbb_work_done() || !async_work_done());
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ASSERT(tbb_work_done() && async_work_done() && "Graph is still running?");
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}
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);
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LOG_INFO(NULL, "Done. Executed " << ctx.executed << " tasks");
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}
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std::ostream& cv::gimpl::parallel::operator<<(std::ostream& o, tile_node const& n) {
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o << "("
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<< " at:" << &n << ","
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<< "indx: " << n.total_order_index << ","
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<< "deps #:" << n.dependency_count.value << ", "
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<< "prods:" << n.dependants.size();
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o << "[";
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for (auto* d: n.dependants) {
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o << d << ",";
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}
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o << "]";
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o << ")";
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return o;
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}
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#endif // HAVE_TBB && TBB_INTERFACE_VERSION
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