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