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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2013 Gauthier Brun <brun.gauthier@gmail.com>
// Copyright (C) 2013 Nicolas Carre <nicolas.carre@ensimag.fr>
// Copyright (C) 2013 Jean Ceccato <jean.ceccato@ensimag.fr>
// Copyright (C) 2013 Pierre Zoppitelli <pierre.zoppitelli@ensimag.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/
// Bench to compare the efficiency of SVD algorithms
#include <iostream>
#include <bench/BenchTimer.h>
#include <unsupported/Eigen/SVD>
using namespace Eigen;
using namespace std;
// number of computations of each algorithm before the print of the time
#ifndef REPEAT
#define REPEAT 10
#endif
// number of tests of the same type
#ifndef NUMBER_SAMPLE
#define NUMBER_SAMPLE 2
#endif
template<typename MatrixType>
void bench_svd(const MatrixType& a = MatrixType())
{
MatrixType m = MatrixType::Random(a.rows(), a.cols());
BenchTimer timerJacobi;
BenchTimer timerBDC;
timerJacobi.reset();
timerBDC.reset();
cout << " Only compute Singular Values" <<endl;
for (int k=1; k<=NUMBER_SAMPLE; ++k)
{
timerBDC.start();
for (int i=0; i<REPEAT; ++i)
{
BDCSVD<MatrixType> bdc_matrix(m);
}
timerBDC.stop();
timerJacobi.start();
for (int i=0; i<REPEAT; ++i)
{
JacobiSVD<MatrixType> jacobi_matrix(m);
}
timerJacobi.stop();
cout << "Sample " << k << " : " << REPEAT << " computations : Jacobi : " << fixed << timerJacobi.value() << "s ";
cout << " || " << " BDC : " << timerBDC.value() << "s " <<endl <<endl;
if (timerBDC.value() >= timerJacobi.value())
cout << "KO : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl;
else
cout << "OK : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl;
}
cout << " =================" <<endl;
std::cout<< std::endl;
timerJacobi.reset();
timerBDC.reset();
cout << " Computes rotaion matrix" <<endl;
for (int k=1; k<=NUMBER_SAMPLE; ++k)
{
timerBDC.start();
for (int i=0; i<REPEAT; ++i)
{
BDCSVD<MatrixType> bdc_matrix(m, ComputeFullU|ComputeFullV);
}
timerBDC.stop();
timerJacobi.start();
for (int i=0; i<REPEAT; ++i)
{
JacobiSVD<MatrixType> jacobi_matrix(m, ComputeFullU|ComputeFullV);
}
timerJacobi.stop();
cout << "Sample " << k << " : " << REPEAT << " computations : Jacobi : " << fixed << timerJacobi.value() << "s ";
cout << " || " << " BDC : " << timerBDC.value() << "s " <<endl <<endl;
if (timerBDC.value() >= timerJacobi.value())
cout << "KO : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl;
else
cout << "OK : BDC is " << timerJacobi.value() / timerBDC.value() << " times faster than Jacobi" <<endl;
}
std::cout<< std::endl;
}
int main(int argc, char* argv[])
{
std::cout<< std::endl;
std::cout<<"On a (Dynamic, Dynamic) (6, 6) Matrix" <<std::endl;
bench_svd<Matrix<double,Dynamic,Dynamic> >(Matrix<double,Dynamic,Dynamic>(6, 6));
std::cout<<"On a (Dynamic, Dynamic) (32, 32) Matrix" <<std::endl;
bench_svd<Matrix<double,Dynamic,Dynamic> >(Matrix<double,Dynamic,Dynamic>(32, 32));
//std::cout<<"On a (Dynamic, Dynamic) (128, 128) Matrix" <<std::endl;
//bench_svd<Matrix<double,Dynamic,Dynamic> >(Matrix<double,Dynamic,Dynamic>(128, 128));
std::cout<<"On a (Dynamic, Dynamic) (160, 160) Matrix" <<std::endl;
bench_svd<Matrix<double,Dynamic,Dynamic> >(Matrix<double,Dynamic,Dynamic>(160, 160));
std::cout<< "--------------------------------------------------------------------"<< std::endl;
}
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