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https://github.com/SoftFever/OrcaSlicer.git
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83 lines
2.4 KiB
C++
83 lines
2.4 KiB
C++
#ifndef SLA_CONCURRENCY_H
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#define SLA_CONCURRENCY_H
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#include <tbb/spin_mutex.h>
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#include <tbb/mutex.h>
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#include <tbb/parallel_for.h>
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#include <algorithm>
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#include <libslic3r/libslic3r.h>
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namespace Slic3r {
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namespace sla {
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// Set this to true to enable full parallelism in this module.
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// Only the well tested parts will be concurrent if this is set to false.
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const constexpr bool USE_FULL_CONCURRENCY = true;
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template<bool> struct _ccr {};
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template<> struct _ccr<true>
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{
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using SpinningMutex = tbb::spin_mutex;
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using BlockingMutex = tbb::mutex;
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template<class It, class Fn>
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static IteratorOnly<It, void> for_each(It from,
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It to,
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Fn && fn,
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size_t granularity = 1)
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{
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tbb::parallel_for(tbb::blocked_range{from, to, granularity},
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[&fn, from](const auto &range) {
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for (auto &el : range) fn(el);
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});
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}
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template<class I, class Fn>
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static IntegerOnly<I, void> for_each(I from,
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I to,
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Fn && fn,
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size_t granularity = 1)
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{
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tbb::parallel_for(tbb::blocked_range{from, to, granularity},
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[&fn](const auto &range) {
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for (I i = range.begin(); i < range.end(); ++i) fn(i);
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});
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}
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};
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template<> struct _ccr<false>
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{
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private:
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struct _Mtx { inline void lock() {} inline void unlock() {} };
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public:
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using SpinningMutex = _Mtx;
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using BlockingMutex = _Mtx;
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template<class It, class Fn>
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static IteratorOnly<It, void> for_each(It from,
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It to,
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Fn &&fn,
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size_t /* ignore granularity */ = 1)
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{
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for (auto it = from; it != to; ++it) fn(*it);
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}
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template<class I, class Fn>
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static IntegerOnly<I, void> for_each(I from,
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I to,
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Fn &&fn,
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size_t /* ignore granularity */ = 1)
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{
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for (I i = from; i < to; ++i) fn(i);
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}
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};
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using ccr = _ccr<USE_FULL_CONCURRENCY>;
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using ccr_seq = _ccr<false>;
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using ccr_par = _ccr<true>;
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}} // namespace Slic3r::sla
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#endif // SLACONCURRENCY_H
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