// Copyright 2009-2020 Intel Corporation // SPDX-License-Identifier: Apache-2.0 #include "bvh_statistics.h" #include "../../common/algorithms/parallel_reduce.h" namespace embree { template BVHNStatistics::BVHNStatistics (BVH* bvh) : bvh(bvh) { double A = max(0.0f,bvh->getLinearBounds().expectedHalfArea()); stat = statistics(bvh->root,A,BBox1f(0.0f,1.0f)); } template std::string BVHNStatistics::str() { std::ostringstream stream; stream.setf(std::ios::fixed, std::ios::floatfield); stream << " primitives = " << bvh->numPrimitives << ", vertices = " << bvh->numVertices << ", depth = " << stat.depth << std::endl; size_t totalBytes = stat.bytes(bvh); double totalSAH = stat.sah(bvh); stream << " total : sah = " << std::setw(7) << std::setprecision(3) << totalSAH << " (100.00%), "; stream << "#bytes = " << std::setw(7) << std::setprecision(2) << totalBytes/1E6 << " MB (100.00%), "; stream << "#nodes = " << std::setw(7) << stat.size() << " (" << std::setw(6) << std::setprecision(2) << 100.0*stat.fillRate(bvh) << "% filled), "; stream << "#bytes/prim = " << std::setw(6) << std::setprecision(2) << double(totalBytes)/double(bvh->numPrimitives) << std::endl; if (stat.statAABBNodes.numNodes ) stream << " getAABBNodes : " << stat.statAABBNodes.toString(bvh,totalSAH,totalBytes) << std::endl; if (stat.statOBBNodes.numNodes ) stream << " ungetAABBNodes : " << stat.statOBBNodes.toString(bvh,totalSAH,totalBytes) << std::endl; if (stat.statAABBNodesMB.numNodes ) stream << " getAABBNodesMB : " << stat.statAABBNodesMB.toString(bvh,totalSAH,totalBytes) << std::endl; if (stat.statAABBNodesMB4D.numNodes) stream << " getAABBNodesMB4D : " << stat.statAABBNodesMB4D.toString(bvh,totalSAH,totalBytes) << std::endl; if (stat.statOBBNodesMB.numNodes) stream << " ungetAABBNodesMB : " << stat.statOBBNodesMB.toString(bvh,totalSAH,totalBytes) << std::endl; if (stat.statQuantizedNodes.numNodes ) stream << " quantizedNodes : " << stat.statQuantizedNodes.toString(bvh,totalSAH,totalBytes) << std::endl; if (true) stream << " leaves : " << stat.statLeaf.toString(bvh,totalSAH,totalBytes) << std::endl; if (true) stream << " histogram : " << stat.statLeaf.histToString() << std::endl; return stream.str(); } template typename BVHNStatistics::Statistics BVHNStatistics::statistics(NodeRef node, const double A, const BBox1f t0t1) { Statistics s; assert(t0t1.size() > 0.0f); double dt = max(0.0f,t0t1.size()); if (node.isAABBNode()) { AABBNode* n = node.getAABBNode(); s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) { if (n->child(i) == BVH::emptyNode) return Statistics(); const double Ai = max(0.0f,halfArea(n->extend(i))); Statistics s = statistics(n->child(i),Ai,t0t1); s.statAABBNodes.numChildren++; return s; }, Statistics::add); s.statAABBNodes.numNodes++; s.statAABBNodes.nodeSAH += dt*A; s.depth++; } else if (node.isOBBNode()) { OBBNode* n = node.ungetAABBNode(); s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) { if (n->child(i) == BVH::emptyNode) return Statistics(); const double Ai = max(0.0f,halfArea(n->extent(i))); Statistics s = statistics(n->child(i),Ai,t0t1); s.statOBBNodes.numChildren++; return s; }, Statistics::add); s.statOBBNodes.numNodes++; s.statOBBNodes.nodeSAH += dt*A; s.depth++; } else if (node.isAABBNodeMB()) { AABBNodeMB* n = node.getAABBNodeMB(); s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) { if (n->child(i) == BVH::emptyNode) return Statistics(); const double Ai = max(0.0f,n->expectedHalfArea(i,t0t1)); Statistics s = statistics(n->child(i),Ai,t0t1); s.statAABBNodesMB.numChildren++; return s; }, Statistics::add); s.statAABBNodesMB.numNodes++; s.statAABBNodesMB.nodeSAH += dt*A; s.depth++; } else if (node.isAABBNodeMB4D()) { AABBNodeMB4D* n = node.getAABBNodeMB4D(); s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) { if (n->child(i) == BVH::emptyNode) return Statistics(); const BBox1f t0t1i = intersect(t0t1,n->timeRange(i)); assert(!t0t1i.empty()); const double Ai = n->AABBNodeMB::expectedHalfArea(i,t0t1i); Statistics s = statistics(n->child(i),Ai,t0t1i); s.statAABBNodesMB4D.numChildren++; return s; }, Statistics::add); s.statAABBNodesMB4D.numNodes++; s.statAABBNodesMB4D.nodeSAH += dt*A; s.depth++; } else if (node.isOBBNodeMB()) { OBBNodeMB* n = node.ungetAABBNodeMB(); s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) { if (n->child(i) == BVH::emptyNode) return Statistics(); const double Ai = max(0.0f,halfArea(n->extent0(i))); Statistics s = statistics(n->child(i),Ai,t0t1); s.statOBBNodesMB.numChildren++; return s; }, Statistics::add); s.statOBBNodesMB.numNodes++; s.statOBBNodesMB.nodeSAH += dt*A; s.depth++; } else if (node.isQuantizedNode()) { QuantizedNode* n = node.quantizedNode(); s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) { if (n->child(i) == BVH::emptyNode) return Statistics(); const double Ai = max(0.0f,halfArea(n->extent(i))); Statistics s = statistics(n->child(i),Ai,t0t1); s.statQuantizedNodes.numChildren++; return s; }, Statistics::add); s.statQuantizedNodes.numNodes++; s.statQuantizedNodes.nodeSAH += dt*A; s.depth++; } else if (node.isLeaf()) { size_t num; const char* tri = node.leaf(num); if (num) { for (size_t i=0; iprimTy->getBytes(tri); s.statLeaf.numPrimsActive += bvh->primTy->sizeActive(tri); s.statLeaf.numPrimsTotal += bvh->primTy->sizeTotal(tri); s.statLeaf.numBytes += bytes; tri+=bytes; } s.statLeaf.numLeaves++; s.statLeaf.numPrimBlocks += num; s.statLeaf.leafSAH += dt*A*num; if (num-1 < Statistics::LeafStat::NHIST) { s.statLeaf.numPrimBlocksHistogram[num-1]++; } } } else { throw std::runtime_error("not supported node type in bvh_statistics"); } return s; } #if defined(__AVX__) template class BVHNStatistics<8>; #endif #if !defined(__AVX__) || !defined(EMBREE_TARGET_SSE2) && !defined(EMBREE_TARGET_SSE42) template class BVHNStatistics<4>; #endif }