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author | RĂ©mi Verschelde <remi@verschelde.fr> | 2021-05-21 18:30:02 +0200 |
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committer | GitHub <noreply@github.com> | 2021-05-21 18:30:02 +0200 |
commit | 3ee034451a9349e7de26decc662afefd7ab8c460 (patch) | |
tree | a8bec3fbb06c2eaca05a075f5ffe2cdd2d94f04a /thirdparty/embree-aarch64/kernels/builders/heuristic_binning_array_aligned.h | |
parent | 8fa07eae145e1e37eb8708ce8c117188b58e3ecc (diff) | |
parent | 767e374dced69b45db0afb30ca2ccf0bbbeef672 (diff) |
Merge pull request #48885 from JFonS/upgrade_embree
Upgrade Embree to the latest official release (3.13.0).
Diffstat (limited to 'thirdparty/embree-aarch64/kernels/builders/heuristic_binning_array_aligned.h')
-rw-r--r-- | thirdparty/embree-aarch64/kernels/builders/heuristic_binning_array_aligned.h | 205 |
1 files changed, 0 insertions, 205 deletions
diff --git a/thirdparty/embree-aarch64/kernels/builders/heuristic_binning_array_aligned.h b/thirdparty/embree-aarch64/kernels/builders/heuristic_binning_array_aligned.h deleted file mode 100644 index a4c272f015..0000000000 --- a/thirdparty/embree-aarch64/kernels/builders/heuristic_binning_array_aligned.h +++ /dev/null @@ -1,205 +0,0 @@ -// Copyright 2009-2020 Intel Corporation -// SPDX-License-Identifier: Apache-2.0 - -#pragma once - -#include "heuristic_binning.h" - -namespace embree -{ - namespace isa - { - struct PrimInfoRange : public CentGeomBBox3fa, public range<size_t> - { - __forceinline PrimInfoRange () { - } - - __forceinline PrimInfoRange(const PrimInfo& pinfo) - : CentGeomBBox3fa(pinfo), range<size_t>(pinfo.begin,pinfo.end) {} - - __forceinline PrimInfoRange(EmptyTy) - : CentGeomBBox3fa(EmptyTy()), range<size_t>(0,0) {} - - __forceinline PrimInfoRange (size_t begin, size_t end, const CentGeomBBox3fa& centGeomBounds) - : CentGeomBBox3fa(centGeomBounds), range<size_t>(begin,end) {} - - __forceinline float leafSAH() const { - return expectedApproxHalfArea(geomBounds)*float(size()); - } - - __forceinline float leafSAH(size_t block_shift) const { - return expectedApproxHalfArea(geomBounds)*float((size()+(size_t(1)<<block_shift)-1) >> block_shift); - } - }; - - /*! Performs standard object binning */ - template<typename PrimRef, size_t BINS> - struct HeuristicArrayBinningSAH - { - typedef BinSplit<BINS> Split; - typedef BinInfoT<BINS,PrimRef,BBox3fa> Binner; - typedef range<size_t> Set; - -#if defined(__AVX512ER__) // KNL - static const size_t PARALLEL_THRESHOLD = 4*768; - static const size_t PARALLEL_FIND_BLOCK_SIZE = 768; - static const size_t PARALLEL_PARTITION_BLOCK_SIZE = 768; -#else - static const size_t PARALLEL_THRESHOLD = 3 * 1024; - static const size_t PARALLEL_FIND_BLOCK_SIZE = 1024; - static const size_t PARALLEL_PARTITION_BLOCK_SIZE = 128; -#endif - __forceinline HeuristicArrayBinningSAH () - : prims(nullptr) {} - - /*! remember prim array */ - __forceinline HeuristicArrayBinningSAH (PrimRef* prims) - : prims(prims) {} - - /*! finds the best split */ - __noinline const Split find(const PrimInfoRange& pinfo, const size_t logBlockSize) - { - if (likely(pinfo.size() < PARALLEL_THRESHOLD)) - return find_template<false>(pinfo,logBlockSize); - else - return find_template<true>(pinfo,logBlockSize); - } - - template<bool parallel> - __forceinline const Split find_template(const PrimInfoRange& pinfo, const size_t logBlockSize) - { - Binner binner(empty); - const BinMapping<BINS> mapping(pinfo); - bin_serial_or_parallel<parallel>(binner,prims,pinfo.begin(),pinfo.end(),PARALLEL_FIND_BLOCK_SIZE,mapping); - return binner.best(mapping,logBlockSize); - } - - /*! array partitioning */ - __forceinline void split(const Split& split, const PrimInfoRange& pinfo, PrimInfoRange& linfo, PrimInfoRange& rinfo) - { - if (likely(pinfo.size() < PARALLEL_THRESHOLD)) - split_template<false>(split,pinfo,linfo,rinfo); - else - split_template<true>(split,pinfo,linfo,rinfo); - } - - template<bool parallel> - __forceinline void split_template(const Split& split, const PrimInfoRange& set, PrimInfoRange& lset, PrimInfoRange& rset) - { - if (!split.valid()) { - deterministic_order(set); - return splitFallback(set,lset,rset); - } - - const size_t begin = set.begin(); - const size_t end = set.end(); - CentGeomBBox3fa local_left(empty); - CentGeomBBox3fa local_right(empty); - const unsigned int splitPos = split.pos; - const unsigned int splitDim = split.dim; - const unsigned int splitDimMask = (unsigned int)1 << splitDim; - - const typename Binner::vint vSplitPos(splitPos); - const typename Binner::vbool vSplitMask(splitDimMask); - auto isLeft = [&] (const PrimRef &ref) { return split.mapping.bin_unsafe(ref,vSplitPos,vSplitMask); }; - - size_t center = 0; - if (!parallel) - center = serial_partitioning(prims,begin,end,local_left,local_right,isLeft, - [] (CentGeomBBox3fa& pinfo,const PrimRef& ref) { pinfo.extend_center2(ref); }); - else - center = parallel_partitioning( - prims,begin,end,EmptyTy(),local_left,local_right,isLeft, - [] (CentGeomBBox3fa& pinfo,const PrimRef& ref) { pinfo.extend_center2(ref); }, - [] (CentGeomBBox3fa& pinfo0,const CentGeomBBox3fa& pinfo1) { pinfo0.merge(pinfo1); }, - PARALLEL_PARTITION_BLOCK_SIZE); - - new (&lset) PrimInfoRange(begin,center,local_left); - new (&rset) PrimInfoRange(center,end,local_right); - assert(area(lset.geomBounds) >= 0.0f); - assert(area(rset.geomBounds) >= 0.0f); - } - - void deterministic_order(const PrimInfoRange& pinfo) - { - /* required as parallel partition destroys original primitive order */ - std::sort(&prims[pinfo.begin()],&prims[pinfo.end()]); - } - - void splitFallback(const PrimInfoRange& pinfo, PrimInfoRange& linfo, PrimInfoRange& rinfo) - { - const size_t begin = pinfo.begin(); - const size_t end = pinfo.end(); - const size_t center = (begin + end)/2; - - CentGeomBBox3fa left(empty); - for (size_t i=begin; i<center; i++) - left.extend_center2(prims[i]); - new (&linfo) PrimInfoRange(begin,center,left); - - CentGeomBBox3fa right(empty); - for (size_t i=center; i<end; i++) - right.extend_center2(prims[i]); - new (&rinfo) PrimInfoRange(center,end,right); - } - - void splitByGeometry(const range<size_t>& range, PrimInfoRange& linfo, PrimInfoRange& rinfo) - { - assert(range.size() > 1); - CentGeomBBox3fa left(empty); - CentGeomBBox3fa right(empty); - unsigned int geomID = prims[range.begin()].geomID(); - size_t center = serial_partitioning(prims,range.begin(),range.end(),left,right, - [&] ( const PrimRef& prim ) { return prim.geomID() == geomID; }, - [ ] ( CentGeomBBox3fa& a, const PrimRef& ref ) { a.extend_center2(ref); }); - - new (&linfo) PrimInfoRange(range.begin(),center,left); - new (&rinfo) PrimInfoRange(center,range.end(),right); - } - - private: - PrimRef* const prims; - }; - - /*! Performs standard object binning */ - template<typename PrimRefMB, size_t BINS> - struct HeuristicArrayBinningMB - { - typedef BinSplit<BINS> Split; - typedef typename PrimRefMB::BBox BBox; - typedef BinInfoT<BINS,PrimRefMB,BBox> ObjectBinner; - static const size_t PARALLEL_THRESHOLD = 3 * 1024; - static const size_t PARALLEL_FIND_BLOCK_SIZE = 1024; - static const size_t PARALLEL_PARTITION_BLOCK_SIZE = 128; - - /*! finds the best split */ - const Split find(const SetMB& set, const size_t logBlockSize) - { - ObjectBinner binner(empty); - const BinMapping<BINS> mapping(set.size(),set.centBounds); - bin_parallel(binner,set.prims->data(),set.begin(),set.end(),PARALLEL_FIND_BLOCK_SIZE,PARALLEL_THRESHOLD,mapping); - Split osplit = binner.best(mapping,logBlockSize); - osplit.sah *= set.time_range.size(); - if (!osplit.valid()) osplit.data = Split::SPLIT_FALLBACK; // use fallback split - return osplit; - } - - /*! array partitioning */ - __forceinline void split(const Split& split, const SetMB& set, SetMB& lset, SetMB& rset) - { - const size_t begin = set.begin(); - const size_t end = set.end(); - PrimInfoMB left = empty; - PrimInfoMB right = empty; - const vint4 vSplitPos(split.pos); - const vbool4 vSplitMask(1 << split.dim); - auto isLeft = [&] (const PrimRefMB &ref) { return any(((vint4)split.mapping.bin_unsafe(ref) < vSplitPos) & vSplitMask); }; - auto reduction = [] (PrimInfoMB& pinfo, const PrimRefMB& ref) { pinfo.add_primref(ref); }; - auto reduction2 = [] (PrimInfoMB& pinfo0,const PrimInfoMB& pinfo1) { pinfo0.merge(pinfo1); }; - size_t center = parallel_partitioning(set.prims->data(),begin,end,EmptyTy(),left,right,isLeft,reduction,reduction2,PARALLEL_PARTITION_BLOCK_SIZE,PARALLEL_THRESHOLD); - new (&lset) SetMB(left, set.prims,range<size_t>(begin,center),set.time_range); - new (&rset) SetMB(right,set.prims,range<size_t>(center,end ),set.time_range); - } - }; - } -} |