| /* |
| * 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 java.util.HashMap; |
| |
| 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.runtime.matrix.data.MatrixValue.CellIndex; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| public class BuiltinKmeansPredictTest extends AutomatedTestBase { |
| private final static String TEST_NAME = "kmeansPredict"; |
| private final static String TEST_DIR = "functions/builtin/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + BuiltinKmeansPredictTest.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[] {"res"})); |
| } |
| |
| @Test |
| public void testKMeansDenseBinSingleRewritesCP() { |
| runKMeansTest(false, 2, 1, true, 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"), "res=" + output("res"), "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(null); |
| HashMap<CellIndex, Double> res = readDMLScalarFromOutputDir("res"); |
| Assert.assertTrue(res.values().size() == 1); |
| Assert.assertEquals(res.values().toArray()[0] , 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; |
| } |
| } |
| } |