552 lines
23 KiB
C++
552 lines
23 KiB
C++
// Copyright 2009-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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#pragma once
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#include "priminfo.h"
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#include "priminfo_mb.h"
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#include "../../common/algorithms/parallel_reduce.h"
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#include "../../common/algorithms/parallel_partition.h"
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namespace embree
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{
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namespace isa
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{
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/*! mapping into bins */
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template<size_t BINS>
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struct BinMapping
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{
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public:
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__forceinline BinMapping() {}
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/*! calculates the mapping */
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__forceinline BinMapping(size_t N, const BBox3fa& centBounds)
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{
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num = min(BINS,size_t(4.0f + 0.05f*N));
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assert(num >= 1);
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const vfloat4 eps = 1E-34f;
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const vfloat4 diag = max(eps, (vfloat4) centBounds.size());
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scale = select(diag > eps,vfloat4(0.99f*num)/diag,vfloat4(0.0f));
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ofs = (vfloat4) centBounds.lower;
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}
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/*! calculates the mapping */
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__forceinline BinMapping(const BBox3fa& centBounds)
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{
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num = BINS;
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const vfloat4 eps = 1E-34f;
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const vfloat4 diag = max(eps, (vfloat4) centBounds.size());
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scale = select(diag > eps,vfloat4(0.99f*num)/diag,vfloat4(0.0f));
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ofs = (vfloat4) centBounds.lower;
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}
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/*! calculates the mapping */
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template<typename PrimInfo>
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__forceinline BinMapping(const PrimInfo& pinfo)
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{
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const vfloat4 eps = 1E-34f;
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num = min(BINS,size_t(4.0f + 0.05f*pinfo.size()));
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const vfloat4 diag = max(eps,(vfloat4) pinfo.centBounds.size());
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scale = select(diag > eps,vfloat4(0.99f*num)/diag,vfloat4(0.0f));
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ofs = (vfloat4) pinfo.centBounds.lower;
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}
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/*! returns number of bins */
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__forceinline size_t size() const { return num; }
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/*! slower but safe binning */
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__forceinline Vec3ia bin(const Vec3fa& p) const
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{
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const vint4 i = floori((vfloat4(p)-ofs)*scale);
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assert(i[0] >= 0 && (size_t)i[0] < num);
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assert(i[1] >= 0 && (size_t)i[1] < num);
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assert(i[2] >= 0 && (size_t)i[2] < num);
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// we clamp to handle corner cases that could calculate out of bounds bin
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return Vec3ia(clamp(i,vint4(0),vint4(num-1)));
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}
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/*! faster but unsafe binning */
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__forceinline Vec3ia bin_unsafe(const Vec3fa& p) const {
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return Vec3ia(floori((vfloat4(p)-ofs)*scale));
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}
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/*! faster but unsafe binning */
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template<typename PrimRef>
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__forceinline Vec3ia bin_unsafe(const PrimRef& p) const {
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return bin_unsafe(p.binCenter());
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}
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/*! faster but unsafe binning */
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template<typename PrimRef, typename BinBoundsAndCenter>
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__forceinline Vec3ia bin_unsafe(const PrimRef& p, const BinBoundsAndCenter& binBoundsAndCenter) const {
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return bin_unsafe(binBoundsAndCenter.binCenter(p));
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}
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template<typename PrimRef>
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__forceinline bool bin_unsafe(const PrimRef& ref,
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const vint4& vSplitPos,
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const vbool4& splitDimMask) const // FIXME: rename to isLeft
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{
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return any(((vint4)bin_unsafe(center2(ref.bounds())) < vSplitPos) & splitDimMask);
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}
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/*! calculates left spatial position of bin */
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__forceinline float pos(const size_t bin, const size_t dim) const {
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return madd(float(bin),1.0f / scale[dim],ofs[dim]);
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}
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/*! returns true if the mapping is invalid in some dimension */
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__forceinline bool invalid(const size_t dim) const {
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return scale[dim] == 0.0f;
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}
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/*! stream output */
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friend embree_ostream operator<<(embree_ostream cout, const BinMapping& mapping) {
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return cout << "BinMapping { num = " << mapping.num << ", ofs = " << mapping.ofs << ", scale = " << mapping.scale << "}";
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}
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public:
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size_t num;
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vfloat4 ofs,scale; //!< linear function that maps to bin ID
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};
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/*! stores all information to perform some split */
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template<size_t BINS>
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struct BinSplit
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{
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enum
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{
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SPLIT_OBJECT = 0,
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SPLIT_FALLBACK = 1,
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SPLIT_ENFORCE = 2, // splits with larger ID are enforced in createLargeLeaf even if we could create a leaf already
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SPLIT_TEMPORAL = 2,
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SPLIT_GEOMID = 3,
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};
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/*! construct an invalid split by default */
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__forceinline BinSplit()
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: sah(inf), dim(-1), pos(0), data(0) {}
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__forceinline BinSplit(float sah, unsigned data, int dim = 0, float fpos = 0)
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: sah(sah), dim(dim), fpos(fpos), data(data) {}
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/*! constructs specified split */
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__forceinline BinSplit(float sah, int dim, int pos, const BinMapping<BINS>& mapping)
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: sah(sah), dim(dim), pos(pos), data(0), mapping(mapping) {}
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/*! tests if this split is valid */
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__forceinline bool valid() const { return dim != -1; }
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/*! calculates surface area heuristic for performing the split */
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__forceinline float splitSAH() const { return sah; }
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/*! stream output */
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friend embree_ostream operator<<(embree_ostream cout, const BinSplit& split) {
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return cout << "BinSplit { sah = " << split.sah << ", dim = " << split.dim << ", pos = " << split.pos << "}";
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}
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public:
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float sah; //!< SAH cost of the split
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int dim; //!< split dimension
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union { int pos; float fpos; }; //!< bin index for splitting
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unsigned int data; //!< extra optional split data
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BinMapping<BINS> mapping; //!< mapping into bins
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};
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/*! stores extended information about the split */
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template<typename BBox>
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struct SplitInfoT
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{
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__forceinline SplitInfoT () {}
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__forceinline SplitInfoT (size_t leftCount, const BBox& leftBounds, size_t rightCount, const BBox& rightBounds)
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: leftCount(leftCount), rightCount(rightCount), leftBounds(leftBounds), rightBounds(rightBounds) {}
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public:
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size_t leftCount,rightCount;
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BBox leftBounds,rightBounds;
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};
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typedef SplitInfoT<BBox3fa> SplitInfo;
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typedef SplitInfoT<LBBox3fa> SplitInfo2;
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/*! stores all binning information */
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template<size_t BINS, typename PrimRef, typename BBox>
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struct __aligned(64) BinInfoT
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{
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typedef BinSplit<BINS> Split;
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typedef vbool4 vbool;
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typedef vint4 vint;
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typedef vfloat4 vfloat;
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__forceinline BinInfoT() {
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}
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__forceinline BinInfoT(EmptyTy) {
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clear();
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}
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/*! bin access function */
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__forceinline BBox &bounds(const size_t binID, const size_t dimID) { return _bounds[binID][dimID]; }
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__forceinline const BBox &bounds(const size_t binID, const size_t dimID) const { return _bounds[binID][dimID]; }
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__forceinline unsigned int &counts(const size_t binID, const size_t dimID) { return _counts[binID][dimID]; }
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__forceinline const unsigned int &counts(const size_t binID, const size_t dimID) const { return _counts[binID][dimID]; }
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__forceinline vuint4 &counts(const size_t binID) { return _counts[binID]; }
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__forceinline const vuint4 &counts(const size_t binID) const { return _counts[binID]; }
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/*! clears the bin info */
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__forceinline void clear()
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{
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for (size_t i=0; i<BINS; i++) {
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bounds(i,0) = bounds(i,1) = bounds(i,2) = empty;
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counts(i) = vuint4(zero);
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}
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}
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/*! bins an array of primitives */
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__forceinline void bin (const PrimRef* prims, size_t N, const BinMapping<BINS>& mapping)
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{
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if (unlikely(N == 0)) return;
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size_t i;
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for (i=0; i<N-1; i+=2)
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{
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/*! map even and odd primitive to bin */
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BBox prim0; Vec3fa center0;
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prims[i+0].binBoundsAndCenter(prim0,center0);
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const vint4 bin0 = (vint4)mapping.bin(center0);
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BBox prim1; Vec3fa center1;
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prims[i+1].binBoundsAndCenter(prim1,center1);
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const vint4 bin1 = (vint4)mapping.bin(center1);
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/*! increase bounds for bins for even primitive */
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const unsigned int b00 = extract<0>(bin0); bounds(b00,0).extend(prim0);
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const unsigned int b01 = extract<1>(bin0); bounds(b01,1).extend(prim0);
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const unsigned int b02 = extract<2>(bin0); bounds(b02,2).extend(prim0);
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const unsigned int s0 = (unsigned int)prims[i+0].size();
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counts(b00,0)+=s0;
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counts(b01,1)+=s0;
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counts(b02,2)+=s0;
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/*! increase bounds of bins for odd primitive */
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const unsigned int b10 = extract<0>(bin1); bounds(b10,0).extend(prim1);
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const unsigned int b11 = extract<1>(bin1); bounds(b11,1).extend(prim1);
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const unsigned int b12 = extract<2>(bin1); bounds(b12,2).extend(prim1);
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const unsigned int s1 = (unsigned int)prims[i+1].size();
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counts(b10,0)+=s1;
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counts(b11,1)+=s1;
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counts(b12,2)+=s1;
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}
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/*! for uneven number of primitives */
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if (i < N)
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{
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/*! map primitive to bin */
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BBox prim0; Vec3fa center0;
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prims[i].binBoundsAndCenter(prim0,center0);
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const vint4 bin0 = (vint4)mapping.bin(center0);
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/*! increase bounds of bins */
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const unsigned int s0 = (unsigned int)prims[i].size();
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const int b00 = extract<0>(bin0); counts(b00,0)+=s0; bounds(b00,0).extend(prim0);
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const int b01 = extract<1>(bin0); counts(b01,1)+=s0; bounds(b01,1).extend(prim0);
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const int b02 = extract<2>(bin0); counts(b02,2)+=s0; bounds(b02,2).extend(prim0);
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}
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}
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/*! bins an array of primitives */
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template<typename BinBoundsAndCenter>
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__forceinline void bin (const PrimRef* prims, size_t N, const BinMapping<BINS>& mapping, const BinBoundsAndCenter& binBoundsAndCenter)
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{
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if (N == 0) return;
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size_t i;
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for (i=0; i<N-1; i+=2)
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{
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/*! map even and odd primitive to bin */
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BBox prim0; Vec3fa center0; binBoundsAndCenter.binBoundsAndCenter(prims[i+0],prim0,center0);
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const vint4 bin0 = (vint4)mapping.bin(center0);
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BBox prim1; Vec3fa center1; binBoundsAndCenter.binBoundsAndCenter(prims[i+1],prim1,center1);
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const vint4 bin1 = (vint4)mapping.bin(center1);
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/*! increase bounds for bins for even primitive */
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const unsigned int s0 = prims[i+0].size();
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const int b00 = extract<0>(bin0); counts(b00,0)+=s0; bounds(b00,0).extend(prim0);
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const int b01 = extract<1>(bin0); counts(b01,1)+=s0; bounds(b01,1).extend(prim0);
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const int b02 = extract<2>(bin0); counts(b02,2)+=s0; bounds(b02,2).extend(prim0);
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/*! increase bounds of bins for odd primitive */
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const unsigned int s1 = prims[i+1].size();
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const int b10 = extract<0>(bin1); counts(b10,0)+=s1; bounds(b10,0).extend(prim1);
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const int b11 = extract<1>(bin1); counts(b11,1)+=s1; bounds(b11,1).extend(prim1);
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const int b12 = extract<2>(bin1); counts(b12,2)+=s1; bounds(b12,2).extend(prim1);
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}
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/*! for uneven number of primitives */
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if (i < N)
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{
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/*! map primitive to bin */
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BBox prim0; Vec3fa center0; binBoundsAndCenter.binBoundsAndCenter(prims[i+0],prim0,center0);
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const vint4 bin0 = (vint4)mapping.bin(center0);
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/*! increase bounds of bins */
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const unsigned int s0 = prims[i+0].size();
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const int b00 = extract<0>(bin0); counts(b00,0)+=s0; bounds(b00,0).extend(prim0);
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const int b01 = extract<1>(bin0); counts(b01,1)+=s0; bounds(b01,1).extend(prim0);
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const int b02 = extract<2>(bin0); counts(b02,2)+=s0; bounds(b02,2).extend(prim0);
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}
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}
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__forceinline void bin(const PrimRef* prims, size_t begin, size_t end, const BinMapping<BINS>& mapping) {
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bin(prims+begin,end-begin,mapping);
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}
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template<typename BinBoundsAndCenter>
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__forceinline void bin(const PrimRef* prims, size_t begin, size_t end, const BinMapping<BINS>& mapping, const BinBoundsAndCenter& binBoundsAndCenter) {
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bin<BinBoundsAndCenter>(prims+begin,end-begin,mapping,binBoundsAndCenter);
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}
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/*! merges in other binning information */
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__forceinline void merge (const BinInfoT& other, size_t numBins)
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{
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for (size_t i=0; i<numBins; i++)
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{
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counts(i) += other.counts(i);
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bounds(i,0).extend(other.bounds(i,0));
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bounds(i,1).extend(other.bounds(i,1));
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bounds(i,2).extend(other.bounds(i,2));
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}
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}
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/*! reduces binning information */
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static __forceinline const BinInfoT reduce (const BinInfoT& a, const BinInfoT& b, const size_t numBins = BINS)
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{
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BinInfoT c;
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for (size_t i=0; i<numBins; i++)
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{
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c.counts(i) = a.counts(i)+b.counts(i);
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c.bounds(i,0) = embree::merge(a.bounds(i,0),b.bounds(i,0));
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c.bounds(i,1) = embree::merge(a.bounds(i,1),b.bounds(i,1));
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c.bounds(i,2) = embree::merge(a.bounds(i,2),b.bounds(i,2));
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}
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return c;
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}
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/*! finds the best split by scanning binning information */
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__forceinline Split best(const BinMapping<BINS>& mapping, const size_t blocks_shift) const
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{
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/* sweep from right to left and compute parallel prefix of merged bounds */
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vfloat4 rAreas[BINS];
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vuint4 rCounts[BINS];
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vuint4 count = 0; BBox bx = empty; BBox by = empty; BBox bz = empty;
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for (size_t i=mapping.size()-1; i>0; i--)
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{
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count += counts(i);
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rCounts[i] = count;
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bx.extend(bounds(i,0)); rAreas[i][0] = expectedApproxHalfArea(bx);
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by.extend(bounds(i,1)); rAreas[i][1] = expectedApproxHalfArea(by);
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bz.extend(bounds(i,2)); rAreas[i][2] = expectedApproxHalfArea(bz);
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rAreas[i][3] = 0.0f;
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}
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/* sweep from left to right and compute SAH */
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vuint4 blocks_add = (1 << blocks_shift)-1;
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vuint4 ii = 1; vfloat4 vbestSAH = pos_inf; vuint4 vbestPos = 0;
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count = 0; bx = empty; by = empty; bz = empty;
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for (size_t i=1; i<mapping.size(); i++, ii+=1)
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{
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count += counts(i-1);
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bx.extend(bounds(i-1,0)); float Ax = expectedApproxHalfArea(bx);
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by.extend(bounds(i-1,1)); float Ay = expectedApproxHalfArea(by);
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bz.extend(bounds(i-1,2)); float Az = expectedApproxHalfArea(bz);
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const vfloat4 lArea = vfloat4(Ax,Ay,Az,Az);
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const vfloat4 rArea = rAreas[i];
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const vuint4 lCount = (count +blocks_add) >> (unsigned int)(blocks_shift); // if blocks_shift >=1 then lCount < 4B and could be represented with an vint4, which would allow for faster vfloat4 conversions.
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const vuint4 rCount = (rCounts[i]+blocks_add) >> (unsigned int)(blocks_shift);
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const vfloat4 sah = madd(lArea,vfloat4(lCount),rArea*vfloat4(rCount));
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//const vfloat4 sah = madd(lArea,vfloat4(vint4(lCount)),rArea*vfloat4(vint4(rCount)));
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vbestPos = select(sah < vbestSAH,ii ,vbestPos);
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vbestSAH = select(sah < vbestSAH,sah,vbestSAH);
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}
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/* find best dimension */
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float bestSAH = inf;
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int bestDim = -1;
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int bestPos = 0;
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for (int dim=0; dim<3; dim++)
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{
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/* ignore zero sized dimensions */
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if (unlikely(mapping.invalid(dim)))
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continue;
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/* test if this is a better dimension */
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if (vbestSAH[dim] < bestSAH && vbestPos[dim] != 0) {
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bestDim = dim;
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bestPos = vbestPos[dim];
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bestSAH = vbestSAH[dim];
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}
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}
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return Split(bestSAH,bestDim,bestPos,mapping);
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}
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/*! finds the best split by scanning binning information */
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__forceinline Split best_block_size(const BinMapping<BINS>& mapping, const size_t blockSize) const
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{
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/* sweep from right to left and compute parallel prefix of merged bounds */
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vfloat4 rAreas[BINS];
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vuint4 rCounts[BINS];
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vuint4 count = 0; BBox bx = empty; BBox by = empty; BBox bz = empty;
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for (size_t i=mapping.size()-1; i>0; i--)
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{
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count += counts(i);
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rCounts[i] = count;
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bx.extend(bounds(i,0)); rAreas[i][0] = expectedApproxHalfArea(bx);
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by.extend(bounds(i,1)); rAreas[i][1] = expectedApproxHalfArea(by);
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bz.extend(bounds(i,2)); rAreas[i][2] = expectedApproxHalfArea(bz);
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rAreas[i][3] = 0.0f;
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}
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/* sweep from left to right and compute SAH */
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vuint4 blocks_add = blockSize-1;
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vfloat4 blocks_factor = 1.0f/float(blockSize);
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vuint4 ii = 1; vfloat4 vbestSAH = pos_inf; vuint4 vbestPos = 0;
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count = 0; bx = empty; by = empty; bz = empty;
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for (size_t i=1; i<mapping.size(); i++, ii+=1)
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{
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count += counts(i-1);
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bx.extend(bounds(i-1,0)); float Ax = expectedApproxHalfArea(bx);
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by.extend(bounds(i-1,1)); float Ay = expectedApproxHalfArea(by);
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bz.extend(bounds(i-1,2)); float Az = expectedApproxHalfArea(bz);
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const vfloat4 lArea = vfloat4(Ax,Ay,Az,Az);
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const vfloat4 rArea = rAreas[i];
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const vfloat4 lCount = floor(vfloat4(count +blocks_add)*blocks_factor);
|
|
const vfloat4 rCount = floor(vfloat4(rCounts[i]+blocks_add)*blocks_factor);
|
|
const vfloat4 sah = madd(lArea,lCount,rArea*rCount);
|
|
|
|
vbestPos = select(sah < vbestSAH,ii ,vbestPos);
|
|
vbestSAH = select(sah < vbestSAH,sah,vbestSAH);
|
|
}
|
|
|
|
/* find best dimension */
|
|
float bestSAH = inf;
|
|
int bestDim = -1;
|
|
int bestPos = 0;
|
|
for (int dim=0; dim<3; dim++)
|
|
{
|
|
/* ignore zero sized dimensions */
|
|
if (unlikely(mapping.invalid(dim)))
|
|
continue;
|
|
|
|
/* test if this is a better dimension */
|
|
if (vbestSAH[dim] < bestSAH && vbestPos[dim] != 0) {
|
|
bestDim = dim;
|
|
bestPos = vbestPos[dim];
|
|
bestSAH = vbestSAH[dim];
|
|
}
|
|
}
|
|
return Split(bestSAH,bestDim,bestPos,mapping);
|
|
}
|
|
|
|
/*! calculates extended split information */
|
|
__forceinline void getSplitInfo(const BinMapping<BINS>& mapping, const Split& split, SplitInfoT<BBox>& info) const
|
|
{
|
|
if (split.dim == -1) {
|
|
new (&info) SplitInfoT<BBox>(0,empty,0,empty);
|
|
return;
|
|
}
|
|
|
|
size_t leftCount = 0;
|
|
BBox leftBounds = empty;
|
|
for (size_t i=0; i<(size_t)split.pos; i++) {
|
|
leftCount += counts(i,split.dim);
|
|
leftBounds.extend(bounds(i,split.dim));
|
|
}
|
|
size_t rightCount = 0;
|
|
BBox rightBounds = empty;
|
|
for (size_t i=split.pos; i<mapping.size(); i++) {
|
|
rightCount += counts(i,split.dim);
|
|
rightBounds.extend(bounds(i,split.dim));
|
|
}
|
|
new (&info) SplitInfoT<BBox>(leftCount,leftBounds,rightCount,rightBounds);
|
|
}
|
|
|
|
/*! gets the number of primitives left of the split */
|
|
__forceinline size_t getLeftCount(const BinMapping<BINS>& mapping, const Split& split) const
|
|
{
|
|
if (unlikely(split.dim == -1)) return -1;
|
|
|
|
size_t leftCount = 0;
|
|
for (size_t i = 0; i < (size_t)split.pos; i++) {
|
|
leftCount += counts(i, split.dim);
|
|
}
|
|
return leftCount;
|
|
}
|
|
|
|
/*! gets the number of primitives right of the split */
|
|
__forceinline size_t getRightCount(const BinMapping<BINS>& mapping, const Split& split) const
|
|
{
|
|
if (unlikely(split.dim == -1)) return -1;
|
|
|
|
size_t rightCount = 0;
|
|
for (size_t i = (size_t)split.pos; i<mapping.size(); i++) {
|
|
rightCount += counts(i, split.dim);
|
|
}
|
|
return rightCount;
|
|
}
|
|
|
|
private:
|
|
BBox _bounds[BINS][3]; //!< geometry bounds for each bin in each dimension
|
|
vuint4 _counts[BINS]; //!< counts number of primitives that map into the bins
|
|
};
|
|
}
|
|
|
|
template<typename BinInfoT, typename BinMapping, typename PrimRef>
|
|
__forceinline void bin_parallel(BinInfoT& binner, const PrimRef* prims, size_t begin, size_t end, size_t blockSize, size_t parallelThreshold, const BinMapping& mapping)
|
|
{
|
|
if (likely(end-begin < parallelThreshold)) {
|
|
binner.bin(prims,begin,end,mapping);
|
|
} else {
|
|
binner = parallel_reduce(begin,end,blockSize,binner,
|
|
[&](const range<size_t>& r) -> BinInfoT { BinInfoT binner(empty); binner.bin(prims + r.begin(), r.size(), mapping); return binner; },
|
|
[&](const BinInfoT& b0, const BinInfoT& b1) -> BinInfoT { BinInfoT r = b0; r.merge(b1, mapping.size()); return r; });
|
|
}
|
|
}
|
|
|
|
template<typename BinBoundsAndCenter, typename BinInfoT, typename BinMapping, typename PrimRef>
|
|
__forceinline void bin_parallel(BinInfoT& binner, const PrimRef* prims, size_t begin, size_t end, size_t blockSize, size_t parallelThreshold, const BinMapping& mapping, const BinBoundsAndCenter& binBoundsAndCenter)
|
|
{
|
|
if (likely(end-begin < parallelThreshold)) {
|
|
binner.bin(prims,begin,end,mapping,binBoundsAndCenter);
|
|
} else {
|
|
binner = parallel_reduce(begin,end,blockSize,binner,
|
|
[&](const range<size_t>& r) -> BinInfoT { BinInfoT binner(empty); binner.bin(prims + r.begin(), r.size(), mapping, binBoundsAndCenter); return binner; },
|
|
[&](const BinInfoT& b0, const BinInfoT& b1) -> BinInfoT { BinInfoT r = b0; r.merge(b1, mapping.size()); return r; });
|
|
}
|
|
}
|
|
|
|
template<bool parallel, typename BinInfoT, typename BinMapping, typename PrimRef>
|
|
__forceinline void bin_serial_or_parallel(BinInfoT& binner, const PrimRef* prims, size_t begin, size_t end, size_t blockSize, const BinMapping& mapping)
|
|
{
|
|
if (!parallel) {
|
|
binner.bin(prims,begin,end,mapping);
|
|
} else {
|
|
binner = parallel_reduce(begin,end,blockSize,binner,
|
|
[&](const range<size_t>& r) -> BinInfoT { BinInfoT binner(empty); binner.bin(prims + r.begin(), r.size(), mapping); return binner; },
|
|
[&](const BinInfoT& b0, const BinInfoT& b1) -> BinInfoT { BinInfoT r = b0; r.merge(b1, mapping.size()); return r; });
|
|
}
|
|
}
|
|
|
|
template<bool parallel, typename BinBoundsAndCenter, typename BinInfoT, typename BinMapping, typename PrimRef>
|
|
__forceinline void bin_serial_or_parallel(BinInfoT& binner, const PrimRef* prims, size_t begin, size_t end, size_t blockSize, const BinMapping& mapping, const BinBoundsAndCenter& binBoundsAndCenter)
|
|
{
|
|
if (!parallel) {
|
|
binner.bin(prims,begin,end,mapping,binBoundsAndCenter);
|
|
} else {
|
|
binner = parallel_reduce(begin,end,blockSize,binner,
|
|
[&](const range<size_t>& r) -> BinInfoT { BinInfoT binner(empty); binner.bin(prims + r.begin(), r.size(), mapping, binBoundsAndCenter); return binner; },
|
|
[&](const BinInfoT& b0, const BinInfoT& b1) -> BinInfoT { BinInfoT r = b0; r.merge(b1, mapping.size()); return r; });
|
|
}
|
|
}
|
|
}
|