| /* |
| * 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.binary.matrix_full_other; |
| |
| 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.AggBinaryOp; |
| import org.apache.sysds.hops.AggBinaryOp.MMultMethod; |
| 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 FullDistributedMatrixMultiplicationTest extends AutomatedTestBase |
| { |
| |
| private final static String TEST_NAME = "FullDistributedMatrixMultiplication"; |
| private final static String TEST_DIR = "functions/binary/matrix_full_other/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + FullDistributedMatrixMultiplicationTest.class.getSimpleName() + "/"; |
| private final static double eps = 1e-10; |
| |
| private final static int rowsA = 1501; |
| private final static int colsA = 1103; |
| private final static int rowsB = 1103; |
| private final static int colsB = 323; |
| |
| private final static double sparsity1 = 0.7; |
| private final static double sparsity2 = 0.1; |
| |
| |
| @Override |
| public void setUp() |
| { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] { "C" }) ); |
| 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 testDenseDenseMapmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(false, false, MMultMethod.MAPMM_R, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDenseSparseMapmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(false, true, MMultMethod.MAPMM_R, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSparseDenseMapmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(true, false, MMultMethod.MAPMM_R, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSparseSparseMapmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(true, true, MMultMethod.MAPMM_R, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDenseDenseCpmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(false, false, MMultMethod.CPMM, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDenseSparseCpmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(false, true, MMultMethod.CPMM, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSparseDenseCpmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(true, false, MMultMethod.CPMM, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSparseSparseCpmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(true, true, MMultMethod.CPMM, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDenseDenseRmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(false, false, MMultMethod.RMM, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testDenseSparseRmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(false, true, MMultMethod.RMM, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSparseDenseRmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(true, false, MMultMethod.RMM, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSparseSparseRmmSpark() |
| { |
| runDistributedMatrixMatrixMultiplicationTest(true, true, MMultMethod.RMM, ExecType.SPARK); |
| } |
| |
| private void runDistributedMatrixMatrixMultiplicationTest( boolean sparseM1, boolean sparseM2, MMultMethod method, ExecType instType) |
| { |
| //rtplatform for MR |
| 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; |
| |
| MMultMethod methodOld = AggBinaryOp.FORCED_MMULT_METHOD; |
| AggBinaryOp.FORCED_MMULT_METHOD = method; |
| |
| try |
| { |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| |
| double sparsityA = sparseM1?sparsity2:sparsity1; |
| double sparsityB = sparseM2?sparsity2:sparsity1; |
| |
| String TEST_CACHE_DIR = ""; |
| if (TEST_CACHE_ENABLED) { |
| TEST_CACHE_DIR = String.valueOf(sparsityA) + "_" + String.valueOf(sparsityB) + "/"; |
| } |
| |
| 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"), input("B"), output("C") }; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate actual dataset |
| double[][] A = getRandomMatrix(rowsA, colsA, 0, 1, sparsityA, 12357); |
| writeInputMatrixWithMTD("A", A, true); |
| double[][] B = getRandomMatrix(rowsB, colsB, 0, 1, sparsityB, 9873); |
| writeInputMatrixWithMTD("B", B, true); |
| |
| setOutputBuffering(false); |
| runTest(true, false, null, -1); |
| runRScript(true); |
| |
| //compare matrices |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("C"); |
| HashMap<CellIndex, Double> rfile = readRMatrixFromFS("C"); |
| TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R"); |
| } |
| finally |
| { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| AggBinaryOp.FORCED_MMULT_METHOD = methodOld; |
| } |
| } |
| } |