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authorgit perforce import user <a@b>2016-10-25 12:29:14 -0600
committerSheikh Dawood Abdul Ajees <Sheikh Dawood Abdul Ajees>2016-10-25 18:56:37 -0500
commit3dfe2108cfab31ba3ee5527e217d0d8e99a51162 (patch)
treefa6485c169e50d7415a651bf838f5bcd0fd3bfbd /PhysX_3.4/Source/PhysXCooking/src/mesh/RTreeCooking.cpp
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Initial commit:
PhysX 3.4.0 Update @ 21294896 APEX 1.4.0 Update @ 21275617 [CL 21300167]
Diffstat (limited to 'PhysX_3.4/Source/PhysXCooking/src/mesh/RTreeCooking.cpp')
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+// This code contains NVIDIA Confidential Information and is disclosed to you
+// under a form of NVIDIA software license agreement provided separately to you.
+//
+// Notice
+// NVIDIA Corporation and its licensors retain all intellectual property and
+// proprietary rights in and to this software and related documentation and
+// any modifications thereto. Any use, reproduction, disclosure, or
+// distribution of this software and related documentation without an express
+// license agreement from NVIDIA Corporation is strictly prohibited.
+//
+// ALL NVIDIA DESIGN SPECIFICATIONS, CODE ARE PROVIDED "AS IS.". NVIDIA MAKES
+// NO WARRANTIES, EXPRESSED, IMPLIED, STATUTORY, OR OTHERWISE WITH RESPECT TO
+// THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT,
+// MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE.
+//
+// Information and code furnished is believed to be accurate and reliable.
+// However, NVIDIA Corporation assumes no responsibility for the consequences of use of such
+// information or for any infringement of patents or other rights of third parties that may
+// result from its use. No license is granted by implication or otherwise under any patent
+// or patent rights of NVIDIA Corporation. Details are subject to change without notice.
+// This code supersedes and replaces all information previously supplied.
+// NVIDIA Corporation products are not authorized for use as critical
+// components in life support devices or systems without express written approval of
+// NVIDIA Corporation.
+//
+// Copyright (c) 2008-2016 NVIDIA Corporation. All rights reserved.
+// Copyright (c) 2004-2008 AGEIA Technologies, Inc. All rights reserved.
+// Copyright (c) 2001-2004 NovodeX AG. All rights reserved.
+
+#include "foundation/PxBounds3.h"
+#include "CmPhysXCommon.h"
+#include "RTreeCooking.h"
+#include "PsSort.h"
+#include "PsMathUtils.h"
+#include "PsAllocator.h"
+#include "PsVecMath.h"
+#include "PxTolerancesScale.h"
+#include "QuickSelect.h"
+#include "PsInlineArray.h"
+#include "GuRTree.h"
+
+#define PRINT_RTREE_COOKING_STATS 0 // AP: keeping this frequently used macro for diagnostics/benchmarking
+
+#if PRINT_RTREE_COOKING_STATS
+#include <stdio.h>
+#endif
+
+using namespace physx::Gu;
+using namespace physx::shdfnd;
+using namespace physx::shdfnd::aos;
+
+namespace physx
+{
+
+// Intermediate non-quantized representation for RTree node in a page (final format is SIMD transposed page)
+struct RTreeNodeNQ
+{
+ PxBounds3 bounds;
+ PxI32 childPageFirstNodeIndex; // relative to the beginning of all build tree nodes array
+ PxI32 leafCount; // -1 for empty nodes, 0 for non-terminal nodes, number of enclosed tris if non-zero (LeafTriangles), also means a terminal node
+
+ struct U {}; // selector struct for uninitialized constructor
+ RTreeNodeNQ(U) {} // uninitialized constructor
+ RTreeNodeNQ() : bounds(PxBounds3::empty()), childPageFirstNodeIndex(-1), leafCount(0) {}
+};
+
+// SIMD version of bounds class
+struct PxBounds3V
+{
+ struct U {}; // selector struct for uninitialized constructor
+ Vec3V mn, mx;
+ PxBounds3V(Vec3VArg mn_, Vec3VArg mx_) : mn(mn_), mx(mx_) {}
+ PxBounds3V(U) {} // uninitialized constructor
+
+ PX_FORCE_INLINE Vec3V getExtents() const { return V3Sub(mx, mn); }
+ PX_FORCE_INLINE void include(const PxBounds3V& other) { mn = V3Min(mn, other.mn); mx = V3Max(mx, other.mx); }
+
+ // convert vector extents to PxVec3
+ PX_FORCE_INLINE const PxVec3 getMinVec3() const { PxVec3 ret; V3StoreU(mn, ret); return ret; }
+ PX_FORCE_INLINE const PxVec3 getMaxVec3() const { PxVec3 ret; V3StoreU(mx, ret); return ret; }
+};
+
+static void buildFromBounds(
+ Gu::RTree& resultTree, const PxBounds3V* allBounds, PxU32 numBounds,
+ Array<PxU32>& resultPermute, RTreeCooker::RemapCallback* rc, Vec3VArg allMn, Vec3VArg allMx,
+ PxReal sizePerfTradeOff, PxMeshCookingHint::Enum hint);
+
+/////////////////////////////////////////////////////////////////////////
+void RTreeCooker::buildFromTriangles(
+ Gu::RTree& result, const PxVec3* verts, PxU32 numVerts, const PxU16* tris16, const PxU32* tris32, PxU32 numTris,
+ Array<PxU32>& resultPermute, RTreeCooker::RemapCallback* rc, PxReal sizePerfTradeOff01, PxMeshCookingHint::Enum hint)
+{
+ PX_UNUSED(numVerts);
+ Array<PxBounds3V> allBounds;
+ allBounds.reserve(numTris);
+ Vec3V allMn = Vec3V_From_FloatV(FMax()), allMx = Vec3V_From_FloatV(FNegMax());
+ Vec3V eps = V3Splat(FLoad(5e-4f)); // AP scaffold: use PxTolerancesScale here?
+
+ // build RTree AABB bounds from triangles, conservative bound inflation is also performed here
+ for(PxU32 i = 0; i < numTris; i ++)
+ {
+ PxU32 i0, i1, i2;
+ PxU32 i3 = i*3;
+ if(tris16)
+ {
+ i0 = tris16[i3]; i1 = tris16[i3+1]; i2 = tris16[i3+2];
+ } else
+ {
+ i0 = tris32[i3]; i1 = tris32[i3+1]; i2 = tris32[i3+2];
+ }
+ PX_ASSERT_WITH_MESSAGE(i0 < numVerts && i1 < numVerts && i2 < numVerts ,"Input mesh triangle's vertex index exceeds specified numVerts.");
+ Vec3V v0 = V3LoadU(verts[i0]), v1 = V3LoadU(verts[i1]), v2 = V3LoadU(verts[i2]);
+ Vec3V mn = V3Sub(V3Min(V3Min(v0, v1), v2), eps); // min over 3 verts, subtract eps to inflate
+ Vec3V mx = V3Add(V3Max(V3Max(v0, v1), v2), eps); // max over 3 verts, add eps to inflate
+ allMn = V3Min(allMn, mn); allMx = V3Max(allMx, mx);
+ allBounds.pushBack(PxBounds3V(mn, mx));
+ }
+
+ buildFromBounds(result, allBounds.begin(), numTris, resultPermute, rc, allMn, allMx, sizePerfTradeOff01, hint);
+}
+
+/////////////////////////////////////////////////////////////////////////
+// Fast but lower quality 4-way split sorting using repeated application of quickselect
+
+// comparator template struct for sortin gbounds centers given a coordinate index (x,y,z=0,1,2)
+struct BoundsLTE
+{
+ PxU32 coordIndex;
+ const PxVec3* PX_RESTRICT boundCenters; // AP: precomputed centers are faster than recomputing the centers
+ BoundsLTE(PxU32 coordIndex_, const PxVec3* boundCenters_)
+ : coordIndex(coordIndex_), boundCenters(boundCenters_)
+ {}
+
+ PX_FORCE_INLINE bool operator()(const PxU32 & idx1, const PxU32 & idx2) const
+ {
+ PxF32 center1 = boundCenters[idx1][coordIndex];
+ PxF32 center2 = boundCenters[idx2][coordIndex];
+ return (center1 <= center2);
+ }
+};
+
+// ======================================================================
+// Quick sorting method
+// recursive sorting procedure:
+// 1. find min and max extent along each axis for the current cluster
+// 2. split input cluster into two 3 times using quickselect, splitting off a quarter of the initial cluster size each time
+// 3. the axis is potentialy different for each split using the following
+// approximate splitting heuristic - reduce max length by some estimated factor to encourage split along other axis
+// since we cut off between a quarter to a half of elements in this direction per split
+// the reduction for first split should be *0.75f but we use 0.8
+// to account for some node overlap. This is somewhat of an arbitrary choice and there's room for improvement.
+// 4. recurse on new clusters (goto step 1)
+//
+struct SubSortQuick
+{
+ static const PxReal reductionFactors[RTREE_N-1];
+
+ enum { NTRADEOFF = 9 };
+ static const PxU32 stopAtTrisPerLeaf1[NTRADEOFF]; // presets for PxCookingParams::meshSizePerformanceTradeoff implementation
+
+ const PxU32* permuteEnd;
+ const PxU32* permuteStart;
+ const PxBounds3V* allBounds;
+ Array<PxVec3> boundCenters;
+ PxU32 maxBoundsPerLeafPage;
+
+ // initialize the context for the sorting routine
+ SubSortQuick(PxU32* permute, const PxBounds3V* allBounds_, PxU32 allBoundsSize, PxReal sizePerfTradeOff01)
+ : allBounds(allBounds_)
+ {
+ permuteEnd = permute + allBoundsSize;
+ permuteStart = permute;
+ PxU32 boundsCount = allBoundsSize;
+ boundCenters.reserve(boundsCount); // AP - measured that precomputing centers helps with perf significantly (~20% on 1k verts)
+ for(PxU32 i = 0; i < boundsCount; i++)
+ boundCenters.pushBack( allBounds[i].getMinVec3() + allBounds[i].getMaxVec3() );
+ PxU32 iTradeOff = PxMin<PxU32>( PxU32(PxMax<PxReal>(0.0f, sizePerfTradeOff01)*NTRADEOFF), NTRADEOFF-1 );
+ maxBoundsPerLeafPage = stopAtTrisPerLeaf1[iTradeOff];
+ }
+
+ // implements the sorting/splitting procedure
+ void sort4(
+ PxU32* PX_RESTRICT permute, const PxU32 clusterSize, // beginning and size of current recursively processed cluster
+ Array<RTreeNodeNQ>& resultTree, PxU32& maxLevels,
+ PxBounds3V& subTreeBound, PxU32 level = 0)
+ {
+ if(level == 0)
+ maxLevels = 1;
+ else
+ maxLevels = PxMax(maxLevels, level+1);
+
+ PX_ASSERT(permute + clusterSize <= permuteEnd);
+ PX_ASSERT(maxBoundsPerLeafPage >= RTREE_N-1);
+
+ const PxU32 cluster4 = PxMax<PxU32>(clusterSize/RTREE_N, 1);
+
+ PX_ASSERT(clusterSize > 0);
+ // find min and max world bound for current cluster
+ Vec3V mx = allBounds[permute[0]].mx, mn = allBounds[permute[0]].mn; PX_ASSERT(permute[0] < boundCenters.size());
+ for(PxU32 i = 1; i < clusterSize; i ++)
+ {
+ PX_ASSERT(permute[i] < boundCenters.size());
+ mx = V3Max(mx, allBounds[permute[i]].mx);
+ mn = V3Min(mn, allBounds[permute[i]].mn);
+ }
+ PX_ALIGN_PREFIX(16) PxReal maxElem[4] PX_ALIGN_SUFFIX(16);
+ V3StoreA(V3Sub(mx, mn), *reinterpret_cast<PxVec3*>(maxElem)); // compute the dimensions and store into a scalar maxElem array
+
+ // split along the longest axis
+ const PxU32 maxDiagElement = PxU32(maxElem[0] > maxElem[1] && maxElem[0] > maxElem[2] ? 0 : (maxElem[1] > maxElem[2] ? 1 : 2));
+ BoundsLTE cmpLte(maxDiagElement, boundCenters.begin());
+
+ const PxU32 startNodeIndex = resultTree.size();
+ resultTree.resizeUninitialized(startNodeIndex+RTREE_N); // at each recursion level we add 4 nodes to the tree
+
+ PxBounds3V childBound( (PxBounds3V::U()) ); // start off uninitialized for performance
+ const PxI32 leftover = PxMax<PxI32>(PxI32(clusterSize - cluster4*(RTREE_N-1)), 0);
+ PxU32 totalCount = 0;
+ for(PxU32 i = 0; i < RTREE_N; i++)
+ {
+ // split off cluster4 count nodes out of the entire cluster for each i
+ const PxU32 clusterOffset = cluster4*i;
+ PxU32 count1; // cluster4 or leftover depending on whether it's the last cluster
+ if(i < RTREE_N-1)
+ {
+ // only need to so quickSelect for the first pagesize-1 clusters
+ if(clusterOffset <= clusterSize-1)
+ {
+ quickSelect::quickSelectFirstK(permute, clusterOffset, clusterSize-1, cluster4, cmpLte);
+ // approximate heuristic - reduce max length by some estimated factor to encourage split along other axis
+ // since we cut off a quarter of elements in this direction the reduction should be *0.75f but we use 0.8
+ // to account for some node overlap. This is somewhat of an arbitrary choice though
+ maxElem[cmpLte.coordIndex] *= reductionFactors[i];
+ // recompute cmpLte.coordIndex from updated maxElements
+ cmpLte.coordIndex = PxU32(maxElem[0] > maxElem[1] && maxElem[0] > maxElem[2] ? 0 : (maxElem[1] > maxElem[2] ? 1 : 2));
+ }
+ count1 = cluster4;
+ } else
+ {
+ count1 = PxU32(leftover);
+ // verify that leftover + sum of previous clusters adds up to clusterSize or leftover is 0
+ // leftover can be 0 if clusterSize<RTREE_N, this is generally rare, can happen for meshes with < RTREE_N tris
+ PX_ASSERT(leftover == 0 || cluster4*i + count1 == clusterSize);
+ }
+
+ RTreeNodeNQ& curNode = resultTree[startNodeIndex+i];
+
+ totalCount += count1; // accumulate total node count
+ if(count1 <= maxBoundsPerLeafPage) // terminal page according to specified maxBoundsPerLeafPage
+ {
+ if(count1 && totalCount <= clusterSize)
+ {
+ // this will be true most of the time except when the total number of triangles in the mesh is < PAGESIZE
+ curNode.leafCount = PxI32(count1);
+ curNode.childPageFirstNodeIndex = PxI32(clusterOffset + PxU32(permute-permuteStart));
+ childBound = allBounds[permute[clusterOffset+0]];
+ for(PxU32 i1 = 1; i1 < count1; i1++)
+ {
+ const PxBounds3V& bnd = allBounds[permute[clusterOffset+i1]];
+ childBound.include(bnd);
+ }
+ } else
+ {
+ // since we are required to have PAGESIZE nodes per page for simd, we fill any leftover with empty nodes
+ // we should only hit this if the total number of triangles in the mesh is < PAGESIZE
+ childBound.mn = childBound.mx = V3Zero(); // shouldn't be necessary but setting just in case
+ curNode.bounds.setEmpty();
+ curNode.leafCount = -1;
+ curNode.childPageFirstNodeIndex = -1; // using -1 for empty node
+ }
+ } else // not a terminal page, recurse on count1 nodes cluster
+ {
+ curNode.childPageFirstNodeIndex = PxI32(resultTree.size());
+ curNode.leafCount = 0;
+ sort4(permute+cluster4*i, count1, resultTree, maxLevels, childBound, level+1);
+ }
+ if(i == 0)
+ subTreeBound = childBound; // initialize subTreeBound with first childBound
+ else
+ subTreeBound.include(childBound); // expand subTreeBound with current childBound
+
+ // can use curNode since the reference change due to resizing in recursive call, need to recompute the pointer
+ RTreeNodeNQ& curNode1 = resultTree[startNodeIndex+i];
+ curNode1.bounds.minimum = childBound.getMinVec3(); // update node bounds using recursively computed childBound
+ curNode1.bounds.maximum = childBound.getMaxVec3();
+ }
+ }
+};
+
+// heuristic size reduction factors for splitting heuristic (see how it's used above)
+const PxReal SubSortQuick::reductionFactors[RTREE_N-1] = {0.8f, 0.7f, 0.6f};
+
+// sizePerf trade-off presets for sorting routines
+const PxU32 SubSortQuick::stopAtTrisPerLeaf1[SubSortQuick::NTRADEOFF] = {16, 14, 12, 10, 8, 7, 6, 5, 4};
+
+/////////////////////////////////////////////////////////////////////////
+// SAH sorting method
+//
+// Preset table: lower index=better size -> higher index = better perf
+static const PxU32 NTRADEOFF = 15;
+ // % -24 -23 -17 -15 -10 -8 -5 -3 0 +3 +3 +5 +7 +8 +9 - % raycast MeshSurface*Random benchmark perf
+ // K 717 734 752 777 793 811 824 866 903 939 971 1030 1087 1139 1266 - testzone size in K
+ // # 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 - preset number
+static const PxU32 stopAtTrisPerPage[NTRADEOFF] = { 64, 60, 56, 48, 46, 44, 40, 36, 32, 28, 24, 20, 16, 12, 12};
+static const PxU32 stopAtTrisPerLeaf[NTRADEOFF] = { 16, 14, 12, 10, 9, 8, 8, 6, 5, 5, 5, 4, 4, 4, 2}; // capped at 2 anyway
+
+/////////////////////////////////////////////////////////////////////////
+// comparator struct for sorting the bounds along a specified coordIndex (coordIndex=0,1,2 for X,Y,Z)
+struct SortBoundsPredicate
+{
+ PxU32 coordIndex;
+ const PxBounds3V* allBounds;
+ SortBoundsPredicate(PxU32 coordIndex_, const PxBounds3V* allBounds_) : coordIndex(coordIndex_), allBounds(allBounds_)
+ {}
+
+ bool operator()(const PxU32 & idx1, const PxU32 & idx2) const
+ {
+ // using the bounds center for comparison
+ PxF32 center1 = V3ReadXYZ(allBounds[idx1].mn)[coordIndex] + V3ReadXYZ(allBounds[idx1].mx)[coordIndex];
+ PxF32 center2 = V3ReadXYZ(allBounds[idx2].mn)[coordIndex] + V3ReadXYZ(allBounds[idx2].mx)[coordIndex];
+ return (center1 < center2);
+ }
+};
+
+
+/////////////////////////////////////////////////////////////////////////
+// auxiliary class for SAH build (SAH = surface area heuristic)
+struct Interval
+{
+ PxU32 start, count;
+ Interval(PxU32 s, PxU32 c) : start(s), count(c) {}
+};
+
+// SAH function - returns surface area for given AABB extents
+static PX_FORCE_INLINE void PxSAH(const Vec3VArg v, PxF32& sah)
+{
+ FStore(V3Dot(v, V3PermZXY(v)), &sah); // v.x*v.y + v.y*v.z + v.x*v.z;
+}
+
+struct SubSortSAH
+{
+ PxU32* PX_RESTRICT permuteStart, *PX_RESTRICT tempPermute;
+ const PxBounds3V* PX_RESTRICT allBounds;
+ PxF32* PX_RESTRICT metricL;
+ PxF32* PX_RESTRICT metricR;
+ const PxU32* PX_RESTRICT xOrder, *PX_RESTRICT yOrder, *PX_RESTRICT zOrder;
+ const PxU32* PX_RESTRICT xRanks, *PX_RESTRICT yRanks, *PX_RESTRICT zRanks;
+ PxU32* PX_RESTRICT tempRanks;
+ PxU32 nbTotalBounds;
+ PxU32 iTradeOff;
+
+ // precompute various values used during sort
+ SubSortSAH(
+ PxU32* permute, const PxBounds3V* allBounds_, PxU32 numBounds,
+ const PxU32* xOrder_, const PxU32* yOrder_, const PxU32* zOrder_,
+ const PxU32* xRanks_, const PxU32* yRanks_, const PxU32* zRanks_, PxReal sizePerfTradeOff01)
+ : permuteStart(permute), allBounds(allBounds_),
+ xOrder(xOrder_), yOrder(yOrder_), zOrder(zOrder_),
+ xRanks(xRanks_), yRanks(yRanks_), zRanks(zRanks_), nbTotalBounds(numBounds)
+ {
+ metricL = new PxF32[numBounds];
+ metricR = new PxF32[numBounds];
+ tempPermute = new PxU32[numBounds*2+1];
+ tempRanks = new PxU32[numBounds];
+ iTradeOff = PxMin<PxU32>( PxU32(PxMax<PxReal>(0.0f, sizePerfTradeOff01)*NTRADEOFF), NTRADEOFF-1 );
+ }
+
+ ~SubSortSAH() // release temporarily used memory
+ {
+ delete [] metricL; metricL = NULL;
+ delete [] metricR; metricR = NULL;
+ delete [] tempPermute; tempPermute = NULL;
+ delete [] tempRanks; tempRanks = NULL;
+ }
+
+ ////////////////////////////////////////////////////////////////////
+ // returns split position for second array start relative to permute ptr
+ PxU32 split(PxU32* permute, PxU32 clusterSize)
+ {
+ if(clusterSize <= 1)
+ return 0;
+ if(clusterSize == 2)
+ return 1;
+
+ PxI32 minCount = clusterSize >= 4 ? 2 : 1;
+ PxI32 splitStartL = minCount; // range=[startL->endL)
+ PxI32 splitEndL = PxI32(clusterSize-minCount);
+ PxI32 splitStartR = PxI32(clusterSize-splitStartL); // range=(endR<-startR], startR > endR
+ PxI32 splitEndR = PxI32(clusterSize-splitEndL);
+ PX_ASSERT(splitEndL-splitStartL == splitStartR-splitEndR);
+ PX_ASSERT(splitStartL <= splitEndL);
+ PX_ASSERT(splitStartR >= splitEndR);
+ PX_ASSERT(splitEndR >= 1);
+ PX_ASSERT(splitEndL < PxI32(clusterSize));
+
+ // pick the best axis with some splitting metric
+ // axis index is X=0, Y=1, Z=2
+ PxF32 minMetric[3];
+ PxU32 minMetricSplit[3];
+ const PxU32* ranks3[3] = { xRanks, yRanks, zRanks };
+ const PxU32* orders3[3] = { xOrder, yOrder, zOrder };
+ for(PxU32 coordIndex = 0; coordIndex <= 2; coordIndex++)
+ {
+ SortBoundsPredicate sortPredicateLR(coordIndex, allBounds);
+
+ const PxU32* rank = ranks3[coordIndex];
+ const PxU32* order = orders3[coordIndex];
+
+ // build ranks in tempPermute
+ if(clusterSize == nbTotalBounds) // AP: about 4% perf gain from this optimization
+ {
+ // if this is a full cluster sort, we already have it done
+ for(PxU32 i = 0; i < clusterSize; i ++)
+ tempPermute[i] = order[i];
+ } else
+ {
+ // sort the tempRanks
+ for(PxU32 i = 0; i < clusterSize; i ++)
+ tempRanks[i] = rank[permute[i]];
+ Ps::sort(tempRanks, clusterSize);
+ for(PxU32 i = 0; i < clusterSize; i ++) // convert back from ranks to indices
+ tempPermute[i] = order[tempRanks[i]];
+ }
+
+ // we consider overlapping intervals for minimum sum of metrics
+ // left interval is from splitStartL up to splitEndL
+ // right interval is from splitStartR down to splitEndR
+
+
+ // first compute the array metricL
+ Vec3V boundsLmn = allBounds[tempPermute[0]].mn; // init with 0th bound
+ Vec3V boundsLmx = allBounds[tempPermute[0]].mx; // init with 0th bound
+ PxI32 ii;
+ for(ii = 1; ii < splitStartL; ii++) // sweep right to include all bounds up to splitStartL-1
+ {
+ boundsLmn = V3Min(boundsLmn, allBounds[tempPermute[ii]].mn);
+ boundsLmx = V3Max(boundsLmx, allBounds[tempPermute[ii]].mx);
+ }
+
+ PxU32 countL0 = 0;
+ for(ii = splitStartL; ii <= splitEndL; ii++) // compute metric for inclusive bounds from splitStartL to splitEndL
+ {
+ boundsLmn = V3Min(boundsLmn, allBounds[tempPermute[ii]].mn);
+ boundsLmx = V3Max(boundsLmx, allBounds[tempPermute[ii]].mx);
+ PxSAH(V3Sub(boundsLmx, boundsLmn), metricL[countL0++]);
+ }
+ // now we have metricL
+
+ // now compute the array metricR
+ Vec3V boundsRmn = allBounds[tempPermute[clusterSize-1]].mn; // init with last bound
+ Vec3V boundsRmx = allBounds[tempPermute[clusterSize-1]].mx; // init with last bound
+ for(ii = PxI32(clusterSize-2); ii > splitStartR; ii--) // include bounds to the left of splitEndR down to splitStartR
+ {
+ boundsRmn = V3Min(boundsRmn, allBounds[tempPermute[ii]].mn);
+ boundsRmx = V3Max(boundsRmx, allBounds[tempPermute[ii]].mx);
+ }
+
+ PxU32 countR0 = 0;
+ for(ii = splitStartR; ii >= splitEndR; ii--) // continue sweeping left, including bounds and recomputing the metric
+ {
+ boundsRmn = V3Min(boundsRmn, allBounds[tempPermute[ii]].mn);
+ boundsRmx = V3Max(boundsRmx, allBounds[tempPermute[ii]].mx);
+ PxSAH(V3Sub(boundsRmx, boundsRmn), metricR[countR0++]);
+ }
+
+ PX_ASSERT((countL0 == countR0) && (countL0 == PxU32(splitEndL-splitStartL+1)));
+
+ // now iterate over splitRange and compute the minimum sum of SAHLeft*countLeft + SAHRight*countRight
+ PxU32 minMetricSplitPosition = 0;
+ PxF32 minMetricLocal = PX_MAX_REAL;
+ const PxI32 hsI32 = PxI32(clusterSize/2);
+ const PxI32 splitRange = (splitEndL-splitStartL+1);
+ for(ii = 0; ii < splitRange; ii++)
+ {
+ PxF32 countL = PxF32(ii+minCount); // need to add minCount since ii iterates over splitRange
+ PxF32 countR = PxF32(splitRange-ii-1+minCount);
+ PX_ASSERT(PxU32(countL + countR) == clusterSize);
+
+ const PxF32 metric = (countL*metricL[ii] + countR*metricR[splitRange-ii-1]);
+ const PxU32 splitPos = PxU32(ii+splitStartL);
+ if(metric < minMetricLocal ||
+ (metric <= minMetricLocal && // same metric but more even split
+ PxAbs(PxI32(splitPos)-hsI32) < PxAbs(PxI32(minMetricSplitPosition)-hsI32)))
+ {
+ minMetricLocal = metric;
+ minMetricSplitPosition = splitPos;
+ }
+ }
+
+ minMetric[coordIndex] = minMetricLocal;
+ minMetricSplit[coordIndex] = minMetricSplitPosition;
+
+ // sum of axis lengths for both left and right AABBs
+ }
+
+ PxU32 winIndex = 2;
+ if(minMetric[0] <= minMetric[1] && minMetric[0] <= minMetric[2])
+ winIndex = 0;
+ else if(minMetric[1] <= minMetric[2])
+ winIndex = 1;
+
+ const PxU32* rank = ranks3[winIndex];
+ const PxU32* order = orders3[winIndex];
+ if(clusterSize == nbTotalBounds) // AP: about 4% gain from this special case optimization
+ {
+ // if this is a full cluster sort, we already have it done
+ for(PxU32 i = 0; i < clusterSize; i ++)
+ permute[i] = order[i];
+ } else
+ {
+ // sort the tempRanks
+ for(PxU32 i = 0; i < clusterSize; i ++)
+ tempRanks[i] = rank[permute[i]];
+ Ps::sort(tempRanks, clusterSize);
+ for(PxU32 i = 0; i < clusterSize; i ++)
+ permute[i] = order[tempRanks[i]];
+ }
+
+ PxU32 splitPoint = minMetricSplit[winIndex];
+ if(clusterSize == 3 && splitPoint == 0)
+ splitPoint = 1; // special case due to rounding
+ return splitPoint;
+ }
+
+ // compute surface area for a given split
+ PxF32 computeSA(const PxU32* permute, const Interval& split) // both permute and i are relative
+ {
+ PX_ASSERT(split.count >= 1);
+ Vec3V bmn = allBounds[permute[split.start]].mn;
+ Vec3V bmx = allBounds[permute[split.start]].mx;
+ for(PxU32 i = 1; i < split.count; i++)
+ {
+ const PxBounds3V& b1 = allBounds[permute[split.start+i]];
+ bmn = V3Min(bmn, b1.mn); bmx = V3Max(bmx, b1.mx);
+ }
+
+ PxF32 ret; PxSAH(V3Sub(bmx, bmn), ret);
+ return ret;
+ }
+
+ ////////////////////////////////////////////////////////////////////
+ // main SAH sort routine
+ void sort4(PxU32* permute, PxU32 clusterSize,
+ Array<RTreeNodeNQ>& resultTree, PxU32& maxLevels, PxU32 level = 0, RTreeNodeNQ* parentNode = NULL)
+ {
+ PX_UNUSED(parentNode);
+
+ if(level == 0)
+ maxLevels = 1;
+ else
+ maxLevels = PxMax(maxLevels, level+1);
+
+ PxU32 splitPos[RTREE_N];
+ for(PxU32 j = 0; j < RTREE_N; j++)
+ splitPos[j] = j+1;
+
+ if(clusterSize >= RTREE_N)
+ {
+ // split into RTREE_N number of regions via RTREE_N-1 subsequent splits
+ // each split is represented as a current interval
+ // we iterate over currently active intervals and compute it's surface area
+ // then we split the interval with maximum surface area
+ // AP scaffold: possible optimization - seems like computeSA can be cached for unchanged intervals
+ InlineArray<Interval, 4> splits;
+ splits.pushBack(Interval(0, clusterSize));
+ for(PxU32 iSplit = 0; iSplit < RTREE_N-1; iSplit++)
+ {
+ PxF32 maxSAH = -FLT_MAX;
+ PxU32 maxSplit = 0xFFFFffff;
+ for(PxU32 i = 0; i < splits.size(); i++)
+ {
+ if(splits[i].count == 1)
+ continue;
+ PxF32 SAH = computeSA(permute, splits[i])*splits[i].count;
+ if(SAH > maxSAH)
+ {
+ maxSAH = SAH;
+ maxSplit = i;
+ }
+ }
+ PX_ASSERT(maxSplit != 0xFFFFffff);
+
+ // maxSplit is now the index of the interval in splits array with maximum surface area
+ // we now split it into 2 using the split() function
+ Interval old = splits[maxSplit];
+ PX_ASSERT(old.count > 1);
+ PxU32 splitLocal = split(permute+old.start, old.count); // relative split pos
+
+ PX_ASSERT(splitLocal >= 1);
+ PX_ASSERT(old.count-splitLocal >= 1);
+ splits.pushBack(Interval(old.start, splitLocal));
+ splits.pushBack(Interval(old.start+splitLocal, old.count-splitLocal));
+ splits.replaceWithLast(maxSplit);
+ splitPos[iSplit] = old.start+splitLocal;
+ }
+
+ // verification code, make sure split counts add up to clusterSize
+ PX_ASSERT(splits.size() == RTREE_N);
+ PxU32 sum = 0;
+ for(PxU32 j = 0; j < RTREE_N; j++)
+ sum += splits[j].count;
+ PX_ASSERT(sum == clusterSize);
+ }
+ else // clusterSize < RTREE_N
+ {
+ // make it so splitCounts based on splitPos add up correctly for small cluster sizes
+ for(PxU32 i = clusterSize; i < RTREE_N-1; i++)
+ splitPos[i] = clusterSize;
+ }
+
+ // sort splitPos index array using quicksort (just a few values)
+ Ps::sort(splitPos, RTREE_N-1);
+ splitPos[RTREE_N-1] = clusterSize; // splitCount[n] is computed as splitPos[n+1]-splitPos[n], so we need to add this last value
+
+ // now compute splitStarts and splitCounts from splitPos[] array. Also perform a bunch of correctness verification
+ PxU32 splitStarts[RTREE_N];
+ PxU32 splitCounts[RTREE_N];
+ splitStarts[0] = 0;
+ splitCounts[0] = splitPos[0];
+ PxU32 sumCounts = splitCounts[0];
+ for(PxU32 j = 1; j < RTREE_N; j++)
+ {
+ splitStarts[j] = splitPos[j-1];
+ PX_ASSERT(splitStarts[j-1]<=splitStarts[j]);
+ splitCounts[j] = splitPos[j]-splitPos[j-1];
+ PX_ASSERT(splitCounts[j] > 0 || clusterSize < RTREE_N);
+ sumCounts += splitCounts[j];
+ PX_ASSERT(splitStarts[j-1]+splitCounts[j-1]<=splitStarts[j]);
+ }
+ PX_ASSERT(sumCounts == clusterSize);
+ PX_ASSERT(splitStarts[RTREE_N-1]+splitCounts[RTREE_N-1]<=clusterSize);
+
+ // mark this cluster as terminal based on clusterSize <= stopAtTrisPerPage parameter for current iTradeOff user specified preset
+ bool terminalClusterByTotalCount = (clusterSize <= stopAtTrisPerPage[iTradeOff]);
+ // iterate over splitCounts for the current cluster, if any of counts exceed 16 (which is the maximum supported by LeafTriangles
+ // we cannot mark this cluster as terminal (has to be split more)
+ for(PxU32 s = 0; s < RTREE_N; s++)
+ if(splitCounts[s] > 16) // LeafTriangles doesn't support > 16 tris
+ terminalClusterByTotalCount = false;
+
+ // iterate over all the splits
+ for(PxU32 s = 0; s < RTREE_N; s++)
+ {
+ RTreeNodeNQ rtn;
+ PxU32 splitCount = splitCounts[s];
+ if(splitCount > 0) // splits shouldn't be empty generally
+ {
+ // sweep left to right and compute min and max SAH for each individual bound in current split
+ PxBounds3V b = allBounds[permute[splitStarts[s]]];
+ PxF32 sahMin; PxSAH(b.getExtents(), sahMin);
+ PxF32 sahMax = sahMin;
+ // AP scaffold - looks like this could be optimized (we are recomputing bounds top down)
+ for(PxU32 i = 1; i < splitCount; i++)
+ {
+ PxU32 localIndex = i + splitStarts[s];
+ const PxBounds3V& b1 = allBounds[permute[localIndex]];
+ PxF32 sah1; PxSAH(b1.getExtents(), sah1);
+ sahMin = PxMin(sahMin, sah1);
+ sahMax = PxMax(sahMax, sah1);
+ b.include(b1);
+ }
+
+ rtn.bounds.minimum = V3ReadXYZ(b.mn);
+ rtn.bounds.maximum = V3ReadXYZ(b.mx);
+
+ // if bounds differ widely (according to some heuristic preset), we continue splitting
+ // this is important for a mixed cluster with large and small triangles
+ bool okSAH = (sahMax/sahMin < 40.0f);
+ if(!okSAH)
+ terminalClusterByTotalCount = false; // force splitting this cluster
+
+ bool stopSplitting = // compute the final splitting criterion
+ splitCount <= 2 || (okSAH && splitCount <= 3) // stop splitting at 2 nodes or if SAH ratio is OK and splitCount <= 3
+ || terminalClusterByTotalCount || splitCount <= stopAtTrisPerLeaf[iTradeOff];
+ if(stopSplitting)
+ {
+ // this is a terminal page then, mark as such
+ // first node index is relative to the top level input array beginning
+ rtn.childPageFirstNodeIndex = PxI32(splitStarts[s]+(permute-permuteStart));
+ rtn.leafCount = PxI32(splitCount);
+ PX_ASSERT(splitCount <= 16); // LeafTriangles doesn't support more
+ }
+ else
+ {
+ // this is not a terminal page, we will recompute this later, after we recurse on subpages (label ZZZ)
+ rtn.childPageFirstNodeIndex = -1;
+ rtn.leafCount = 0;
+ }
+ }
+ else // splitCount == 0 at this point, this is an empty paddding node (with current presets it's very rare)
+ {
+ PX_ASSERT(splitCount == 0);
+ rtn.bounds.setEmpty();
+ rtn.childPageFirstNodeIndex = -1;
+ rtn.leafCount = -1;
+ }
+ resultTree.pushBack(rtn); // push the new node into the resultTree array
+ }
+
+ if(terminalClusterByTotalCount) // abort recursion if terminal cluster
+ return;
+
+ // recurse on subpages
+ PxU32 parentIndex = resultTree.size() - RTREE_N; // save the parentIndex as specified (array can be resized during recursion)
+ for(PxU32 s = 0; s<RTREE_N; s++)
+ {
+ RTreeNodeNQ* sParent = &resultTree[parentIndex+s]; // array can be resized and relocated during recursion
+ if(sParent->leafCount == 0) // only split pages that were marked as non-terminal during splitting (see "label ZZZ" above)
+ {
+ // all child nodes will be pushed inside of this recursive call,
+ // so we set the child pointer for parent node to resultTree.size()
+ sParent->childPageFirstNodeIndex = PxI32(resultTree.size());
+ sort4(permute+splitStarts[s], splitCounts[s], resultTree, maxLevels, level+1, sParent);
+ }
+ }
+ }
+};
+
+
+
+
+/////////////////////////////////////////////////////////////////////////
+// initializes the input permute array with identity permutation
+// and shuffles it so that new sorted index, newIndex = resultPermute[oldIndex]
+static void buildFromBounds(
+ Gu::RTree& result, const PxBounds3V* allBounds, PxU32 numBounds,
+ Array<PxU32>& permute, RTreeCooker::RemapCallback* rc, Vec3VArg allMn, Vec3VArg allMx,
+ PxReal sizePerfTradeOff01, PxMeshCookingHint::Enum hint)
+{
+ PX_UNUSED(sizePerfTradeOff01);
+ PxBounds3V treeBounds(allMn, allMx);
+
+ // start off with an identity permutation
+ permute.resize(0);
+ permute.reserve(numBounds+1);
+ for(PxU32 j = 0; j < numBounds; j ++)
+ permute.pushBack(j);
+ const PxU32 sentinel = 0xABCDEF01;
+ permute.pushBack(sentinel);
+
+ // load sorted nodes into an RTreeNodeNQ tree representation
+ // build the tree structure from sorted nodes
+ const PxU32 pageSize = RTREE_N;
+ Array<RTreeNodeNQ> resultTree;
+ resultTree.reserve(numBounds*2);
+
+ PxU32 maxLevels = 0;
+ if(hint == PxMeshCookingHint::eSIM_PERFORMANCE) // use high quality SAH build
+ {
+ Array<PxU32> xRanks(numBounds), yRanks(numBounds), zRanks(numBounds), xOrder(numBounds), yOrder(numBounds), zOrder(numBounds);
+ memcpy(xOrder.begin(), permute.begin(), sizeof(xOrder[0])*numBounds);
+ memcpy(yOrder.begin(), permute.begin(), sizeof(yOrder[0])*numBounds);
+ memcpy(zOrder.begin(), permute.begin(), sizeof(zOrder[0])*numBounds);
+ // sort by shuffling the permutation, precompute sorted ranks for x,y,z-orders
+ Ps::sort(xOrder.begin(), xOrder.size(), SortBoundsPredicate(0, allBounds));
+ for(PxU32 i = 0; i < numBounds; i++) xRanks[xOrder[i]] = i;
+ Ps::sort(yOrder.begin(), yOrder.size(), SortBoundsPredicate(1, allBounds));
+ for(PxU32 i = 0; i < numBounds; i++) yRanks[yOrder[i]] = i;
+ Ps::sort(zOrder.begin(), zOrder.size(), SortBoundsPredicate(2, allBounds));
+ for(PxU32 i = 0; i < numBounds; i++) zRanks[zOrder[i]] = i;
+
+ SubSortSAH ss(permute.begin(), allBounds, numBounds,
+ xOrder.begin(), yOrder.begin(), zOrder.begin(), xRanks.begin(), yRanks.begin(), zRanks.begin(), sizePerfTradeOff01);
+ ss.sort4(permute.begin(), numBounds, resultTree, maxLevels);
+ } else
+ { // use fast cooking path
+ PX_ASSERT(hint == PxMeshCookingHint::eCOOKING_PERFORMANCE);
+ SubSortQuick ss(permute.begin(), allBounds, numBounds, sizePerfTradeOff01);
+ PxBounds3V discard((PxBounds3V::U()));
+ ss.sort4(permute.begin(), permute.size()-1, resultTree, maxLevels, discard); // AP scaffold: need to implement build speed/runtime perf slider
+ }
+
+ PX_ASSERT(permute[numBounds] == sentinel); // verify we didn't write past the array
+ permute.popBack(); // discard the sentinel value
+
+ #if PRINT_RTREE_COOKING_STATS // stats code
+ PxU32 totalLeafTris = 0;
+ PxU32 numLeaves = 0;
+ PxI32 maxLeafTris = 0;
+ PxU32 numEmpty = 0;
+ for(PxU32 i = 0; i < resultTree.size(); i++)
+ {
+ PxI32 leafCount = resultTree[i].leafCount;
+ numEmpty += (resultTree[i].bounds.isEmpty());
+ if(leafCount > 0)
+ {
+ numLeaves++;
+ totalLeafTris += leafCount;
+ if(leafCount > maxLeafTris)
+ maxLeafTris = leafCount;
+ }
+ }
+
+ printf("AABBs total/empty=%d/%d\n", resultTree.size(), numEmpty);
+ printf("numTris=%d, numLeafAABBs=%d, avgTrisPerLeaf=%.2f, maxTrisPerLeaf = %d\n",
+ numBounds, numLeaves, PxF32(totalLeafTris)/numLeaves, maxLeafTris);
+ #endif
+
+ PX_ASSERT(RTREE_N*sizeof(RTreeNodeQ) == sizeof(RTreePage)); // needed for nodePtrMultiplier computation to be correct
+ const int nodePtrMultiplier = sizeof(RTreeNodeQ); // convert offset as count in qnodes to page ptr
+
+ // Quantize the tree. AP scaffold - might be possible to merge this phase with the page pass below this loop
+ Array<RTreeNodeQ> qtreeNodes;
+ PxU32 firstEmptyIndex = PxU32(-1);
+ PxU32 resultCount = resultTree.size();
+ qtreeNodes.reserve(resultCount);
+
+ for(PxU32 i = 0; i < resultCount; i++) // AP scaffold - eliminate this pass
+ {
+ RTreeNodeNQ & u = resultTree[i];
+ RTreeNodeQ q;
+ q.setLeaf(u.leafCount > 0); // set the leaf flag
+ if(u.childPageFirstNodeIndex == -1) // empty node?
+ {
+ if(firstEmptyIndex == PxU32(-1))
+ firstEmptyIndex = qtreeNodes.size();
+ q.minx = q.miny = q.minz = FLT_MAX; // AP scaffold improvement - use empty 1e30 bounds instead and reference a valid leaf
+ q.maxx = q.maxy = q.maxz = -FLT_MAX; // that will allow to remove the empty node test from the runtime
+
+ q.ptr = firstEmptyIndex*nodePtrMultiplier; PX_ASSERT((q.ptr & 1) == 0);
+ q.setLeaf(true); // label empty node as leaf node
+ } else
+ {
+ // non-leaf node
+ q.minx = u.bounds.minimum.x;
+ q.miny = u.bounds.minimum.y;
+ q.minz = u.bounds.minimum.z;
+ q.maxx = u.bounds.maximum.x;
+ q.maxy = u.bounds.maximum.y;
+ q.maxz = u.bounds.maximum.z;
+ if(u.leafCount > 0)
+ {
+ q.ptr = PxU32(u.childPageFirstNodeIndex);
+ rc->remap(&q.ptr, q.ptr, PxU32(u.leafCount));
+ PX_ASSERT(q.isLeaf()); // remap is expected to set the isLeaf bit
+ }
+ else
+ {
+ // verify that all children bounds are included in the parent bounds
+ for(PxU32 s = 0; s < RTREE_N; s++)
+ {
+ const RTreeNodeNQ& child = resultTree[u.childPageFirstNodeIndex+s];
+ PX_UNUSED(child);
+ // is a sentinel node or is inside parent's bounds
+ PX_ASSERT(child.leafCount == -1 || child.bounds.isInside(u.bounds));
+ }
+
+ q.ptr = PxU32(u.childPageFirstNodeIndex * nodePtrMultiplier);
+ PX_ASSERT(q.ptr % RTREE_N == 0);
+ q.setLeaf(false);
+ }
+ }
+ qtreeNodes.pushBack(q);
+ }
+
+ // build the final rtree image
+ result.mInvDiagonal = PxVec4(1.0f);
+ PX_ASSERT(qtreeNodes.size() % RTREE_N == 0);
+ result.mTotalNodes = qtreeNodes.size();
+ result.mTotalPages = result.mTotalNodes / pageSize;
+ result.mPages = static_cast<RTreePage*>(
+ Ps::AlignedAllocator<128>().allocate(sizeof(RTreePage)*result.mTotalPages, __FILE__, __LINE__));
+ result.mBoundsMin = PxVec4(V3ReadXYZ(treeBounds.mn), 0.0f);
+ result.mBoundsMax = PxVec4(V3ReadXYZ(treeBounds.mx), 0.0f);
+ result.mDiagonalScaler = (result.mBoundsMax - result.mBoundsMin) / 65535.0f;
+ result.mPageSize = pageSize;
+ result.mNumLevels = maxLevels;
+ PX_ASSERT(result.mTotalNodes % pageSize == 0);
+ result.mNumRootPages = 1;
+
+ for(PxU32 j = 0; j < result.mTotalPages; j++)
+ {
+ RTreePage& page = result.mPages[j];
+ for(PxU32 k = 0; k < RTREE_N; k ++)
+ {
+ const RTreeNodeQ& n = qtreeNodes[j*RTREE_N+k];
+ page.maxx[k] = n.maxx;
+ page.maxy[k] = n.maxy;
+ page.maxz[k] = n.maxz;
+ page.minx[k] = n.minx;
+ page.miny[k] = n.miny;
+ page.minz[k] = n.minz;
+ page.ptrs[k] = n.ptr;
+ }
+ }
+
+ //printf("Tree size=%d\n", result.mTotalPages*sizeof(RTreePage));
+#if PX_DEBUG
+ result.validate(); // make sure the child bounds are included in the parent and other validation
+#endif
+}
+
+} // namespace physx