1 /**
2 * Copyright (c) 2011, The University of Southampton and the individual contributors.
3 * All rights reserved.
4 *
5 * Redistribution and use in source and binary forms, with or without modification,
6 * are permitted provided that the following conditions are met:
7 *
8 * * Redistributions of source code must retain the above copyright notice,
9 * this list of conditions and the following disclaimer.
10 *
11 * * Redistributions in binary form must reproduce the above copyright notice,
12 * this list of conditions and the following disclaimer in the documentation
13 * and/or other materials provided with the distribution.
14 *
15 * * Neither the name of the University of Southampton nor the names of its
16 * contributors may be used to endorse or promote products derived from this
17 * software without specific prior written permission.
18 *
19 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
20 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
21 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
22 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
23 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
24 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
25 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
26 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
27 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
28 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
29 */
30 package org.openimaj.ml.benchmark;
31
32 import org.openimaj.math.matrix.MatlibMatrixUtils;
33 import org.openimaj.math.matrix.MeanVector;
34 import org.openimaj.time.Timer;
35
36 import ch.akuhn.matrix.SparseMatrix;
37 /**
38 *
39 * @author Sina Samangooei (ss@ecs.soton.ac.uk)
40 */
41 public class MatlibMatrixMultiplyBenchmark {
42
43 public static void main(String[] args) {
44 SparseMatrix a = SparseMatrix.sparse(4, 1118);
45 MatlibMatrixUtils.plusInplace(a, 1);
46 SparseMatrix xtrow = MatlibMatrixUtils.transpose(SparseMatrix.random(1118,22917,1 - 0.9998818947086253));
47
48 System.out.println("xtrow sparsity: " + MatlibMatrixUtils.sparsity(xtrow));
49
50 MeanVector mv = new MeanVector();
51 System.out.println("doing: a . xtrow");
52 for (int i = 0; i < 10; i++) {
53 Timer t = Timer.timer();
54 MatlibMatrixUtils.dotProductTranspose(a, xtrow);
55
56 mv.update(new double[]{t.duration()});
57 System.out.println("time: " + mv.vec()[0]);
58 }
59
60 }
61 }