c434782e3a
Use a shorter/simpler license convention, stops the header taking so much space. Follow the SPDX license specification: https://spdx.org/licenses - C/C++/objc/objc++ - Python - Shell Scripts - CMake, GNUmakefile While most of the source tree has been included - `./extern/` was left out. - `./intern/cycles` & `./intern/atomic` are also excluded because they use different header conventions. doc/license/SPDX-license-identifiers.txt has been added to list SPDX all used identifiers. See P2788 for the script that automated these edits. Reviewed By: brecht, mont29, sergey Ref D14069
109 lines
2.4 KiB
C++
109 lines
2.4 KiB
C++
/* SPDX-License-Identifier: GPL-2.0-or-later */
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#pragma once
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#ifdef WITH_TBB
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# include <tbb/enumerable_thread_specific.h>
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#endif
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#include <atomic>
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#include <mutex>
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#include "BLI_map.hh"
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#include "BLI_utility_mixins.hh"
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namespace blender::threading {
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#ifndef WITH_TBB
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namespace enumerable_thread_specific_utils {
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inline std::atomic<int> next_id = 0;
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inline thread_local int thread_id = next_id.fetch_add(1, std::memory_order_relaxed);
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} // namespace enumerable_thread_specific_utils
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#endif
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/**
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* This is mainly a wrapper for `tbb::enumerable_thread_specific`. The wrapper is needed because we
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* want to be able to build without tbb.
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*
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* More features of the tbb version can be wrapped when they are used.
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*/
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template<typename T> class EnumerableThreadSpecific : NonCopyable, NonMovable {
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#ifdef WITH_TBB
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private:
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tbb::enumerable_thread_specific<T> values_;
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public:
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using iterator = typename tbb::enumerable_thread_specific<T>::iterator;
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EnumerableThreadSpecific() = default;
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template<typename F> EnumerableThreadSpecific(F initializer) : values_(std::move(initializer))
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{
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}
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T &local()
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{
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return values_.local();
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}
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iterator begin()
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{
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return values_.begin();
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}
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iterator end()
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{
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return values_.end();
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}
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#else /* WITH_TBB */
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private:
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std::mutex mutex_;
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/* Maps thread ids to their corresponding values. The values are not embedded in the map, so that
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* their addresses do not change when the map grows. */
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Map<int, std::reference_wrapper<T>> values_;
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Vector<std::unique_ptr<T>> owned_values_;
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std::function<void(void *)> initializer_;
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public:
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using iterator = typename Map<int, std::reference_wrapper<T>>::MutableValueIterator;
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EnumerableThreadSpecific() : initializer_([](void *buffer) { new (buffer) T(); })
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{
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}
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template<typename F>
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EnumerableThreadSpecific(F initializer)
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: initializer_([=](void *buffer) { new (buffer) T(initializer()); })
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{
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}
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T &local()
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{
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const int thread_id = enumerable_thread_specific_utils::thread_id;
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std::lock_guard lock{mutex_};
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return values_.lookup_or_add_cb(thread_id, [&]() {
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T *value = (T *)::operator new(sizeof(T));
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initializer_(value);
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owned_values_.append(std::unique_ptr<T>{value});
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return std::reference_wrapper<T>{*value};
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});
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}
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iterator begin()
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{
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return values_.values().begin();
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}
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iterator end()
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{
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return values_.values().end();
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}
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#endif /* WITH_TBB */
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};
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} // namespace blender::threading
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