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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.functions.builtin;
import org.junit.Test;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types;
import org.apache.sysds.hops.OptimizerUtils;
import org.apache.sysds.lops.LopProperties;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;
/**
* TODO FIX Stability. The test currently sometimes fails due to differences in test executions and random behaviour in operations.
*/
public class BuiltinKmeansTest extends AutomatedTestBase
{
private final static String TEST_NAME = "kmeans";
private final static String TEST_DIR = "functions/builtin/";
private static final String TEST_CLASS_DIR = TEST_DIR + BuiltinKmeansTest.class.getSimpleName() + "/";
private final static double eps = 1e-10;
private final static int rows = 1320;
private final static int cols = 32;
private final static double spSparse = 0.3;
private final static double spDense = 0.7;
private final static double max_iter = 50;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME,new TestConfiguration(TEST_CLASS_DIR, TEST_NAME,new String[]{"C"}));
}
@Test
public void testKMeansDenseBinSingleRewritesCP() {
runKMeansTest(false, 2, 1, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseBinSingleRewritesCP() {
runKMeansTest(true,2, 1, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansDenseBinSingleCP() {
runKMeansTest(false,2, 1, false, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseBinSingleCP() {
runKMeansTest(true, 2, 1, false, LopProperties.ExecType.CP);
}
@Test
public void testKMeansDenseBinMultiRewritesCP() {
runKMeansTest(false, 2, 10, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseBinMultiRewritesCP() {
runKMeansTest(true, 2, 10, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansDenseBinMultiCP() {
runKMeansTest(false, 2, 10, false, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseBinMultiCP() {
runKMeansTest(true, 2, 10, false, LopProperties.ExecType.CP);
}
@Test
public void testKMeansDenseMulSingleRewritesCP() {
runKMeansTest(false, 20, 1, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseMulSingleRewritesCP() {
runKMeansTest(true, 20, 1, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansDenseMulSingleCP() {
runKMeansTest(false, 20, 1, false, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseMulSingleCP() {
runKMeansTest(true, 20, 1, false, LopProperties.ExecType.CP);
}
@Test
public void testKMeansDenseMulMultiRewritesCP() {
runKMeansTest( false, 20, 10, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseMulMultiRewritesCP() {
runKMeansTest(true, 20, 10, true, LopProperties.ExecType.CP);
}
@Test
public void testKMeansDenseMulMultiCP() {
runKMeansTest(false, 20, 10, false, LopProperties.ExecType.CP);
}
@Test
public void testKMeansSparseMulMultiCP() {
runKMeansTest(true, 20, 10, false, LopProperties.ExecType.CP);
}
private void runKMeansTest(boolean sparse, int centroids, int runs,
boolean rewrites, LopProperties.ExecType instType)
{
Types.ExecMode platformOld = setExecMode(instType);
boolean oldFlag = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION;
boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
try
{
loadTestConfiguration(getTestConfiguration(TEST_NAME));
double sparsity = sparse ? spSparse : spDense;
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[]{
"-nvargs", "X=" + input("X"), "Y=" + output("Y"), "C=" + output("C"),
"k=" + centroids, "runs=" + runs,
"eps=" + eps, "max_iter=" + max_iter};
OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewrites;
//generate actual datasets
double[][] X = getRandomMatrix(rows, cols, 0, 1, sparsity, 714);
writeInputMatrixWithMTD("X", X, true);
runTest(true, false, null, -1);
}
finally {
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = oldFlag;
OptimizerUtils.ALLOW_AUTO_VECTORIZATION = true;
OptimizerUtils.ALLOW_OPERATOR_FUSION = true;
}
}
}