168 lines
6.9 KiB
C++
168 lines
6.9 KiB
C++
// Copyright 2009-2020 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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#include "bvh_statistics.h"
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#include "../../common/algorithms/parallel_reduce.h"
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namespace embree
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{
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template<int N>
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BVHNStatistics<N>::BVHNStatistics (BVH* bvh) : bvh(bvh)
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{
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double A = max(0.0f,bvh->getLinearBounds().expectedHalfArea());
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stat = statistics(bvh->root,A,BBox1f(0.0f,1.0f));
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}
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template<int N>
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std::string BVHNStatistics<N>::str()
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{
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std::ostringstream stream;
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stream.setf(std::ios::fixed, std::ios::floatfield);
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stream << " primitives = " << bvh->numPrimitives << ", vertices = " << bvh->numVertices << ", depth = " << stat.depth << std::endl;
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size_t totalBytes = stat.bytes(bvh);
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double totalSAH = stat.sah(bvh);
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stream << " total : sah = " << std::setw(7) << std::setprecision(3) << totalSAH << " (100.00%), ";
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stream << "#bytes = " << std::setw(7) << std::setprecision(2) << totalBytes/1E6 << " MB (100.00%), ";
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stream << "#nodes = " << std::setw(7) << stat.size() << " (" << std::setw(6) << std::setprecision(2) << 100.0*stat.fillRate(bvh) << "% filled), ";
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stream << "#bytes/prim = " << std::setw(6) << std::setprecision(2) << double(totalBytes)/double(bvh->numPrimitives) << std::endl;
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if (stat.statAABBNodes.numNodes ) stream << " getAABBNodes : " << stat.statAABBNodes.toString(bvh,totalSAH,totalBytes) << std::endl;
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if (stat.statOBBNodes.numNodes ) stream << " ungetAABBNodes : " << stat.statOBBNodes.toString(bvh,totalSAH,totalBytes) << std::endl;
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if (stat.statAABBNodesMB.numNodes ) stream << " getAABBNodesMB : " << stat.statAABBNodesMB.toString(bvh,totalSAH,totalBytes) << std::endl;
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if (stat.statAABBNodesMB4D.numNodes) stream << " getAABBNodesMB4D : " << stat.statAABBNodesMB4D.toString(bvh,totalSAH,totalBytes) << std::endl;
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if (stat.statOBBNodesMB.numNodes) stream << " ungetAABBNodesMB : " << stat.statOBBNodesMB.toString(bvh,totalSAH,totalBytes) << std::endl;
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if (stat.statQuantizedNodes.numNodes ) stream << " quantizedNodes : " << stat.statQuantizedNodes.toString(bvh,totalSAH,totalBytes) << std::endl;
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if (true) stream << " leaves : " << stat.statLeaf.toString(bvh,totalSAH,totalBytes) << std::endl;
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if (true) stream << " histogram : " << stat.statLeaf.histToString() << std::endl;
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return stream.str();
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}
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template<int N>
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typename BVHNStatistics<N>::Statistics BVHNStatistics<N>::statistics(NodeRef node, const double A, const BBox1f t0t1)
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{
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Statistics s;
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assert(t0t1.size() > 0.0f);
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double dt = max(0.0f,t0t1.size());
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if (node.isAABBNode())
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{
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AABBNode* n = node.getAABBNode();
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s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) {
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if (n->child(i) == BVH::emptyNode) return Statistics();
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const double Ai = max(0.0f,halfArea(n->extend(i)));
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Statistics s = statistics(n->child(i),Ai,t0t1);
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s.statAABBNodes.numChildren++;
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return s;
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}, Statistics::add);
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s.statAABBNodes.numNodes++;
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s.statAABBNodes.nodeSAH += dt*A;
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s.depth++;
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}
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else if (node.isOBBNode())
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{
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OBBNode* n = node.ungetAABBNode();
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s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) {
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if (n->child(i) == BVH::emptyNode) return Statistics();
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const double Ai = max(0.0f,halfArea(n->extent(i)));
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Statistics s = statistics(n->child(i),Ai,t0t1);
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s.statOBBNodes.numChildren++;
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return s;
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}, Statistics::add);
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s.statOBBNodes.numNodes++;
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s.statOBBNodes.nodeSAH += dt*A;
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s.depth++;
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}
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else if (node.isAABBNodeMB())
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{
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AABBNodeMB* n = node.getAABBNodeMB();
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s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) {
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if (n->child(i) == BVH::emptyNode) return Statistics();
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const double Ai = max(0.0f,n->expectedHalfArea(i,t0t1));
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Statistics s = statistics(n->child(i),Ai,t0t1);
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s.statAABBNodesMB.numChildren++;
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return s;
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}, Statistics::add);
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s.statAABBNodesMB.numNodes++;
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s.statAABBNodesMB.nodeSAH += dt*A;
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s.depth++;
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}
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else if (node.isAABBNodeMB4D())
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{
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AABBNodeMB4D* n = node.getAABBNodeMB4D();
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s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) {
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if (n->child(i) == BVH::emptyNode) return Statistics();
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const BBox1f t0t1i = intersect(t0t1,n->timeRange(i));
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assert(!t0t1i.empty());
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const double Ai = n->AABBNodeMB::expectedHalfArea(i,t0t1i);
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Statistics s = statistics(n->child(i),Ai,t0t1i);
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s.statAABBNodesMB4D.numChildren++;
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return s;
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}, Statistics::add);
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s.statAABBNodesMB4D.numNodes++;
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s.statAABBNodesMB4D.nodeSAH += dt*A;
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s.depth++;
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}
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else if (node.isOBBNodeMB())
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{
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OBBNodeMB* n = node.ungetAABBNodeMB();
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s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) {
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if (n->child(i) == BVH::emptyNode) return Statistics();
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const double Ai = max(0.0f,halfArea(n->extent0(i)));
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Statistics s = statistics(n->child(i),Ai,t0t1);
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s.statOBBNodesMB.numChildren++;
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return s;
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}, Statistics::add);
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s.statOBBNodesMB.numNodes++;
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s.statOBBNodesMB.nodeSAH += dt*A;
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s.depth++;
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}
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else if (node.isQuantizedNode())
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{
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QuantizedNode* n = node.quantizedNode();
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s = s + parallel_reduce(0,N,Statistics(),[&] ( const int i ) {
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if (n->child(i) == BVH::emptyNode) return Statistics();
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const double Ai = max(0.0f,halfArea(n->extent(i)));
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Statistics s = statistics(n->child(i),Ai,t0t1);
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s.statQuantizedNodes.numChildren++;
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return s;
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}, Statistics::add);
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s.statQuantizedNodes.numNodes++;
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s.statQuantizedNodes.nodeSAH += dt*A;
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s.depth++;
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}
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else if (node.isLeaf())
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{
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size_t num; const char* tri = node.leaf(num);
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if (num)
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{
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for (size_t i=0; i<num; i++)
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{
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const size_t bytes = bvh->primTy->getBytes(tri);
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s.statLeaf.numPrimsActive += bvh->primTy->sizeActive(tri);
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s.statLeaf.numPrimsTotal += bvh->primTy->sizeTotal(tri);
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s.statLeaf.numBytes += bytes;
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tri+=bytes;
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}
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s.statLeaf.numLeaves++;
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s.statLeaf.numPrimBlocks += num;
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s.statLeaf.leafSAH += dt*A*num;
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if (num-1 < Statistics::LeafStat::NHIST) {
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s.statLeaf.numPrimBlocksHistogram[num-1]++;
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}
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}
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}
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else {
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// -- GODOT start --
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// throw std::runtime_error("not supported node type in bvh_statistics");
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abort();
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// -- GODOT end --
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}
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return s;
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}
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#if defined(__AVX__)
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template class BVHNStatistics<8>;
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#endif
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#if !defined(__AVX__) || (!defined(EMBREE_TARGET_SSE2) && !defined(EMBREE_TARGET_SSE42)) || defined(__aarch64__)
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template class BVHNStatistics<4>;
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#endif
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}
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