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https://gitlab.com/libeigen/eigen.git
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cc90495e30
global Scaling function static
84 lines
2.1 KiB
C++
84 lines
2.1 KiB
C++
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#include <Eigen/Array>
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#include <bench/BenchUtil.h>
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using namespace Eigen;
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#ifndef REPEAT
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#define REPEAT 100000
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#endif
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#ifndef TRIES
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#define TRIES 20
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#endif
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typedef double Scalar;
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template <typename MatrixType>
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__attribute__ ((noinline)) void bench_reverse(const MatrixType& m)
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{
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int rows = m.rows();
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int cols = m.cols();
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int size = m.size();
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int repeats = (REPEAT*1000)/size;
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MatrixType a = MatrixType::Random(rows,cols);
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MatrixType b = MatrixType::Random(rows,cols);
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BenchTimer timerB, timerH, timerV;
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Scalar acc = 0;
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int r = ei_random<int>(0,rows-1);
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int c = ei_random<int>(0,cols-1);
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for (int t=0; t<TRIES; ++t)
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{
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timerB.start();
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for (int k=0; k<repeats; ++k)
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{
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asm("#begin foo");
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b = a.reverse();
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asm("#end foo");
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acc += b.coeff(r,c);
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}
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timerB.stop();
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}
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if (MatrixType::RowsAtCompileTime==Dynamic)
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std::cout << "dyn ";
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else
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std::cout << "fixed ";
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std::cout << rows << " x " << cols << " \t"
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<< (timerB.value() * REPEAT) / repeats << "s "
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<< "(" << 1e-6 * size*repeats/timerB.value() << " MFLOPS)\t";
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std::cout << "\n";
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// make sure the compiler does not optimize too much
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if (acc==123)
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std::cout << acc;
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}
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int main(int argc, char* argv[])
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{
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const int dynsizes[] = {4,6,8,16,24,32,49,64,128,256,512,900,0};
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std::cout << "size no sqrt standard";
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// #ifdef BENCH_GSL
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// std::cout << " GSL (standard + double + ATLAS) ";
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// #endif
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std::cout << "\n";
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for (uint i=0; dynsizes[i]>0; ++i)
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{
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bench_reverse(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i]));
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bench_reverse(Matrix<Scalar,Dynamic,1>(dynsizes[i]*dynsizes[i]));
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}
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// bench_reverse(Matrix<Scalar,2,2>());
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// bench_reverse(Matrix<Scalar,3,3>());
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// bench_reverse(Matrix<Scalar,4,4>());
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// bench_reverse(Matrix<Scalar,5,5>());
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// bench_reverse(Matrix<Scalar,6,6>());
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// bench_reverse(Matrix<Scalar,7,7>());
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// bench_reverse(Matrix<Scalar,8,8>());
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// bench_reverse(Matrix<Scalar,12,12>());
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// bench_reverse(Matrix<Scalar,16,16>());
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return 0;
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}
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