1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
|
// Copyright 2009-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
#include "bvh_statistics.h"
#include "../../common/algorithms/parallel_reduce.h"
namespace embree
{
template<int N>
BVHNStatistics<N>::BVHNStatistics (BVH* bvh) : bvh(bvh)
{
double A = max(0.0f,bvh->getLinearBounds().expectedHalfArea());
stat = statistics(bvh->root,A,BBox1f(0.0f,1.0f));
}
template<int N>
std::string BVHNStatistics<N>::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<int N>
typename BVHNStatistics<N>::Statistics BVHNStatistics<N>::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; i<num; i++)
{
const size_t bytes = bvh->primTy->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 {
// -- GODOT start --
// throw std::runtime_error("not supported node type in bvh_statistics");
abort();
// -- GODOT end --
}
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
}
|