| /* |
| * 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.aggregate; |
| |
| import java.util.HashMap; |
| |
| import org.junit.AfterClass; |
| import org.junit.Assert; |
| import org.junit.BeforeClass; |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| 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.apache.sysds.utils.Statistics; |
| |
| /** |
| * |
| * |
| */ |
| public class FullAggregateTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "AllSum"; |
| private final static String TEST_NAME2 = "AllMean"; |
| private final static String TEST_NAME3 = "AllMax"; |
| private final static String TEST_NAME4 = "AllMin"; |
| private final static String TEST_NAME5 = "AllProd"; |
| private final static String TEST_NAME6 = "DiagSum"; //trace |
| |
| private final static String TEST_DIR = "functions/aggregate/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + FullAggregateTest.class.getSimpleName() + "/"; |
| private final static double eps = 1e-10; |
| |
| private final static int rows1 = 1005; |
| private final static int cols1 = 1; |
| private final static int cols2 = 1079; |
| private final static double sparsity1 = 0.1; |
| private final static double sparsity2 = 0.7; |
| |
| private enum OpType{ |
| SUM, |
| MEAN, |
| MAX, |
| MIN, |
| PROD, |
| TRACE |
| } |
| |
| @Override |
| public void setUp() |
| { |
| addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[]{"B"})); |
| addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[]{"B"})); |
| addTestConfiguration(TEST_NAME3, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME3, new String[]{"B"})); |
| addTestConfiguration(TEST_NAME4, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME4, new String[]{"B"})); |
| addTestConfiguration(TEST_NAME5, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME5, new String[]{"B"})); |
| addTestConfiguration(TEST_NAME6, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME6, new String[]{"B"})); |
| |
| if (TEST_CACHE_ENABLED) { |
| setOutAndExpectedDeletionDisabled(true); |
| } |
| } |
| |
| @BeforeClass |
| public static void init() |
| { |
| TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR); |
| } |
| |
| @AfterClass |
| public static void cleanUp() |
| { |
| if (TEST_CACHE_ENABLED) { |
| TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR); |
| } |
| } |
| |
| @Test |
| public void testSumDenseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.SUM, false, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testMeanDenseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, false, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testMaxDenseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.MAX, false, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testMinDenseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.MIN, false, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testProdDenseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.PROD, false, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testTraceDenseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, false, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testSumDenseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.SUM, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testMeanDenseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testMaxDenseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.MAX, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testMinDenseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.MIN, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testProdDenseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.PROD, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testTraceDenseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testSumSparseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.SUM, true, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testMeanSparseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, true, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testMaxSparseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.MAX, true, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testMinSparseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.MIN, true, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testProdSparseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.PROD, true, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testTraceSparseMatrixCP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, true, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testSumSparseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.SUM, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testMeanSparseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testMaxSparseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.MAX, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testMinSparseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.MIN, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testProdSparseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.PROD, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testTraceSparseVectorCP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testSumDenseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.SUM, false, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMeanDenseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, false, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMaxDenseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.MAX, false, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMinDenseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.MIN, false, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testProdDenseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.PROD, false, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testTraceDenseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, false, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSumDenseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.SUM, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMeanDenseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMaxDenseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.MAX, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMinDenseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.MIN, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testProdDenseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.PROD, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testTraceDenseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSumSparseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.SUM, true, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMeanSparseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, true, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMaxSparseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.MAX, true, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMinSparseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.MIN, true, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testProdSparseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.PROD, true, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testTraceSparseMatrixSP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, true, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSumSparseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.SUM, true, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMeanSparseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.MEAN, true, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMaxSparseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.MAX, true, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testMinSparseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.MIN, true, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testProdSparseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.PROD, true, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testTraceSparseVectorSP() |
| { |
| runColAggregateOperationTest(OpType.TRACE, true, true, ExecType.SPARK); |
| } |
| |
| private void runColAggregateOperationTest( OpType type, boolean sparse, boolean vector, ExecType instType) |
| { |
| ExecMode platformOld = rtplatform; |
| switch( instType ){ |
| case SPARK: rtplatform = ExecMode.SPARK; break; |
| default: rtplatform = ExecMode.HYBRID; break; |
| } |
| |
| boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG; |
| if( rtplatform == ExecMode.SPARK ) |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| |
| try |
| { |
| String TEST_NAME = null; |
| switch( type ) |
| { |
| case SUM: TEST_NAME = TEST_NAME1; break; |
| case MEAN: TEST_NAME = TEST_NAME2; break; |
| case MAX: TEST_NAME = TEST_NAME3; break; |
| case MIN: TEST_NAME = TEST_NAME4; break; |
| case PROD: TEST_NAME = TEST_NAME5; break; |
| case TRACE: TEST_NAME = TEST_NAME6; break; |
| } |
| |
| int cols = (vector) ? cols1 : cols2; |
| int rows = (type==OpType.TRACE) ? cols : rows1; |
| double sparsity = (sparse) ? sparsity1 : sparsity2; |
| |
| String TEST_CACHE_DIR = ""; |
| if (TEST_CACHE_ENABLED) |
| { |
| TEST_CACHE_DIR = type.ordinal() + "_" + rows + "_" + cols + "_" + sparsity + "/"; |
| } |
| |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| loadTestConfiguration(config, TEST_CACHE_DIR); |
| |
| /* This is for running the junit test the new way, i.e., construct the arguments directly */ |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[]{"-args", input("A"), |
| Integer.toString(rows), Integer.toString(cols), output("B") }; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate actual dataset |
| double[][] A = getRandomMatrix(rows, cols, -0.05, 1, sparsity, 7); |
| writeInputMatrix("A", A, true); |
| |
| runTest(true, false, null, -1); |
| if( instType==ExecType.CP ) //in CP no MR jobs should be executed |
| Assert.assertEquals("Unexpected number of executed MR jobs.", 0, Statistics.getNoOfExecutedSPInst()); |
| |
| runRScript(true); |
| |
| //compare matrices |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("B"); |
| HashMap<CellIndex, Double> rfile = readRMatrixFromFS("B"); |
| TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R"); |
| } |
| finally |
| { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| } |