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Use Theil estimator randomized approximation.
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@ -13,6 +13,7 @@
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#include <math.h>
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#include <mutex>
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#include <numeric>
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#include <random>
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#include <stddef.h>
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#include <stdlib.h>
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#include <time.h>
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@ -5294,31 +5295,34 @@ void View::DrawOptions()
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if( ImGui::Button( "Auto" ) )
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#endif
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{
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double gsum = 0;
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size_t lastidx = 0;
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for( size_t j=0; j<timeline.size(); j++ )
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for( size_t j=timeline.size()-1; j > 0; j-- )
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{
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if( timeline[j]->gpuEnd >= 0 )
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{
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lastidx = j;
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gsum += timeline[j]->gpuStart - timeline[j]->cpuStart;
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break;
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}
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}
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if( lastidx > 0 )
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enum { NumSlopes = 10000 };
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std::random_device rd;
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std::default_random_engine gen( rd() );
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std::uniform_int_distribution<size_t> dist( 0, lastidx - 1 );
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float slopes[NumSlopes];
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size_t idx = 0;
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do
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{
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const double cavg = ( timeline[lastidx]->cpuStart + timeline.front()->cpuStart ) * 0.5;
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const double gavg = gsum / double( lastidx );
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double cov = 0;
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double var = 0;
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for( size_t j=0; j<lastidx; j++ )
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const auto p0 = dist( gen );
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const auto p1 = dist( gen );
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if( p0 != p1 )
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{
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const auto csub = timeline[j]->cpuStart - cavg;
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cov += csub * ( timeline[j]->gpuStart - timeline[j]->cpuStart - gavg );
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var += csub * csub;
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slopes[idx++] = float( 1.0 - double( timeline[p1]->gpuStart - timeline[p0]->gpuStart ) / double( timeline[p1]->cpuStart - timeline[p0]->cpuStart ) );
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}
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const double beta = cov / var;
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drift = int( 1000000000 * -beta );
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}
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while( idx < NumSlopes );
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std::sort( slopes, slopes+NumSlopes );
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drift = int( 1000000000 * -slopes[NumSlopes/2] );
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}
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}
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ImGui::TreePop();
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