| /* |
| * 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.BeforeClass; |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.hops.OptimizerUtils; |
| 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; |
| |
| public class RowColProdsAggregateTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "RowProds"; |
| private final static String TEST_NAME2 = "ColProds"; |
| |
| private final static String TEST_DIR = "functions/aggregate/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + RowColProdsAggregateTest.class.getSimpleName() + "/"; |
| private final static double eps = 1e-10; |
| |
| private final static int dim1 = 1079; |
| private final static int dim2 = 15; |
| private final static double sparsity1 = 0.1; |
| private final static double sparsity2 = 1.0; //otherwise 0 output |
| |
| @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"})); |
| 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 testRowProdsDenseMatrixCP() { |
| runProdsAggregateTest(TEST_NAME1, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testRowProdsSparseMatrixCP() { |
| runProdsAggregateTest(TEST_NAME1, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testRowProdsDenseMatrixSP() { |
| runProdsAggregateTest(TEST_NAME1, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testRowProdsSparseMatrixSP() { |
| runProdsAggregateTest(TEST_NAME1, true, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testColProdsDenseMatrixCP() { |
| runProdsAggregateTest(TEST_NAME2, false, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testColProdsSparseMatrixCP() { |
| runProdsAggregateTest(TEST_NAME2, true, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testColProdsDenseMatrixSP() { |
| runProdsAggregateTest(TEST_NAME2, false, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testColProdsSparseMatrixSP() { |
| runProdsAggregateTest(TEST_NAME2, true, true, ExecType.SPARK); |
| } |
| |
| private void runProdsAggregateTest(String TEST_NAME, boolean sparse, boolean rewrites, 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; |
| |
| boolean oldRewritesFlag = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION; |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewrites; |
| |
| try |
| { |
| double sparsity = (sparse) ? sparsity1 : sparsity2; |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| |
| String TEST_CACHE_DIR = ""; |
| if (TEST_CACHE_ENABLED) { |
| TEST_CACHE_DIR = TEST_NAME + "_" + sparsity + "/"; |
| } |
| |
| loadTestConfiguration(config, TEST_CACHE_DIR); |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[]{"-explain", "-args", input("A"), output("B") }; |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| int rows = TEST_NAME.equals(TEST_NAME1) ? dim1 : dim2; |
| int cols = TEST_NAME.equals(TEST_NAME1) ? dim2 : dim1; |
| double[][] A = getRandomMatrix(rows, cols, 0.9, 1, sparsity, 1234); |
| writeInputMatrixWithMTD("A", A, true); |
| |
| runTest(true, false, null, -1); |
| 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; |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = oldRewritesFlag; |
| } |
| } |
| } |