001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.ml.benchmark;
031
032import java.util.Random;
033
034import org.apache.commons.math.stat.descriptive.moment.Mean;
035import org.openimaj.demos.sandbox.flickr.geo.GlobalFlickrColour;
036import org.openimaj.math.matrix.CFMatrixUtils;
037import org.openimaj.math.matrix.MatlibMatrixUtils;
038import org.openimaj.math.matrix.MeanVector;
039import org.openimaj.math.statistics.distribution.Histogram;
040import org.openimaj.time.Timer;
041
042import no.uib.cipr.matrix.sparse.FlexCompRowMatrix;
043import gov.sandia.cognition.math.matrix.mtj.SparseColumnMatrix;
044import gov.sandia.cognition.math.matrix.mtj.SparseMatrix;
045import gov.sandia.cognition.math.matrix.mtj.SparseMatrixFactoryMTJ;
046import gov.sandia.cognition.math.matrix.mtj.SparseRowMatrix;
047
048/**
049 *
050 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
051 */
052public class CFMatrixMultiplyBenchmark {
053        
054        public static void main(String[] args) {
055                SparseMatrix a = SparseMatrixFactoryMTJ.INSTANCE.copyMatrix(SparseMatrixFactoryMTJ.INSTANCE.createWrapper(new FlexCompRowMatrix(4, 1118)));
056                CFMatrixUtils.plusInplace(a, 1);
057                SparseRowMatrix xtrow = CFMatrixUtils.randomSparseRow(1118,22917,0d,1d,1 - 0.9998818947086253, new Random(1));
058                SparseColumnMatrix xtcol = CFMatrixUtils.randomSparseCol(1118,22917,0d,1d,1 - 0.9998818947086253, new Random(1));
059                
060                System.out.println("xtrow sparsity: " + CFMatrixUtils.sparsity(xtrow));
061                System.out.println("xtcol sparsity: " + CFMatrixUtils.sparsity(xtcol));
062                System.out.println("Equal: " + CFMatrixUtils.fastsparsedot(a,xtcol).equals(a.times(xtcol), 0));
063                MeanVector mv = new MeanVector();
064                System.out.println("doing: a . xtcol");
065                for (int i = 0; i < 10; i++) {
066                        Timer t = Timer.timer();
067                        CFMatrixUtils.fastsparsedot(a,xtcol);
068                        mv.update(new double[]{t.duration()});
069                        System.out.println("time: " + mv.vec()[0]);
070                }
071                
072                
073                mv.reset();
074                System.out.println("doing: a . xtcol");
075                for (int i = 0; i < 10; i++) {
076                        Timer t = Timer.timer();
077                        a.times(xtcol);
078                        mv.update(new double[]{t.duration()});
079                        System.out.println("time: " + mv.vec()[0]);
080                }
081                mv.reset();
082                System.out.println("doing: a . xtrow");
083                for (int i = 0; i < 10; i++) {
084                        Timer t = Timer.timer();
085                        a.times(xtrow);
086                        mv.update(new double[]{t.duration()});
087                        System.out.println("time: " + mv.vec()[0]);
088                }
089        }
090}