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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.sysds.test.applications;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.junit.runners.Parameterized.Parameters;
import org.apache.sysds.runtime.matrix.data.MatrixValue.CellIndex;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestUtils;
@RunWith(value = Parameterized.class)
@net.jcip.annotations.NotThreadSafe
public class GNMFTest extends AutomatedTestBase
{
protected final static String TEST_DIR = "applications/gnmf/";
protected final static String TEST_NAME = "GNMF";
protected String TEST_CLASS_DIR = TEST_DIR + GNMFTest.class.getSimpleName() + "/";
protected int m, n, k;
public GNMFTest(int m, int n, int k) {
this.m = m;
this.n = n;
this.k = k;
}
@Parameters
public static Collection<Object[]> data() {
Object[][] data = new Object[][] {
{ 100, 50, 5 }, // ~4 sec
{ 2000, 1500, 50 },
{ 7000, 1500, 50 } // ~25 sec
};
return Arrays.asList(data);
}
@Override
public void setUp() {
addTestConfiguration(TEST_CLASS_DIR, TEST_NAME);
}
@Test
public void testGNMF() {
System.out.println("------------ BEGIN " + TEST_NAME + " TEST {" + m + ", "
+ n + ", " + k + "} ------------");
int maxiter = 2;
double Eps = Math.pow(10, -8);
getAndLoadTestConfiguration(TEST_NAME);
List<String> proArgs = new ArrayList<>();
proArgs.add("-args");
proArgs.add(input("v"));
proArgs.add(input("w"));
proArgs.add(input("h"));
proArgs.add(Integer.toString(maxiter));
proArgs.add(output("w"));
proArgs.add(output("h"));
programArgs = proArgs.toArray(new String[proArgs.size()]);
fullDMLScriptName = getScript();
rCmd = getRCmd(inputDir(), Integer.toString(maxiter), expectedDir());
double[][] v = getRandomMatrix(m, n, 1, 5, 0.2, System.currentTimeMillis());
double[][] w = getRandomMatrix(m, k, 0, 1, 1, System.currentTimeMillis());
double[][] h = getRandomMatrix(k, n, 0, 1, 1, System.currentTimeMillis());
writeInputMatrixWithMTD("v", v, true);
writeInputMatrixWithMTD("w", w, true);
writeInputMatrixWithMTD("h", h, true);
for (int i = 0; i < maxiter; i++) {
double[][] tW = TestUtils.performTranspose(w);
double[][] tWV = TestUtils.performMatrixMultiplication(tW, v);
double[][] tWW = TestUtils.performMatrixMultiplication(tW, w);
double[][] tWWH = TestUtils.performMatrixMultiplication(tWW, h);
for (int j = 0; j < k; j++) {
for (int l = 0; l < n; l++) {
h[j][l] = h[j][l] * (tWV[j][l] / (tWWH[j][l] + Eps));
}
}
double[][] tH = TestUtils.performTranspose(h);
double[][] vTH = TestUtils.performMatrixMultiplication(v, tH);
double[][] hTH = TestUtils.performMatrixMultiplication(h, tH);
double[][] wHTH = TestUtils.performMatrixMultiplication(w, hTH);
for (int j = 0; j < m; j++) {
for (int l = 0; l < k; l++) {
w[j][l] = w[j][l] * (vTH[j][l] / (wHTH[j][l] + Eps));
}
}
}
/*
* Expected number of jobs:
* Reblock - 1 job
* While loop iteration - 10 jobs
* Final output write - 1 job
*/
int expectedNumberOfJobs = 12;
runTest(true, EXCEPTION_NOT_EXPECTED, null, expectedNumberOfJobs);
runRScript(true);
HashMap<CellIndex, Double> hmWSYSTEMDS = readDMLMatrixFromHDFS("w");
HashMap<CellIndex, Double> hmHSYSTEMDS = readDMLMatrixFromHDFS("h");
HashMap<CellIndex, Double> hmWR = readRMatrixFromFS("w");
HashMap<CellIndex, Double> hmHR = readRMatrixFromFS("h");
TestUtils.compareMatrices(hmWSYSTEMDS, hmWR, 0.000001, "hmWSYSTEMDS", "hmWR");
TestUtils.compareMatrices(hmHSYSTEMDS, hmHR, 0.000001, "hmHSYSTEMDS", "hmHR");
}
}