| /* |
| * 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; |
| |
| import java.util.HashMap; |
| |
| 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; |
| |
| /** |
| * Test for MMCJ MR because otherwise seldom (if at all) executed in our testsuite, ultrasparse |
| * in order to account for 'empty block rejection' optimization. |
| * |
| * Furthermore, it is at the same time a test for removeEmpty-diag which has special |
| * physical operators. |
| */ |
| public class UltraSparseMRMatrixMultiplicationTest extends AutomatedTestBase |
| { |
| |
| private final static String TEST_NAME1 = "UltraSparseMatrixMultiplication"; |
| private final static String TEST_NAME2 = "UltraSparseMatrixMultiplication2"; |
| private final static String TEST_DIR = "functions/binary/matrix/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + |
| UltraSparseMRMatrixMultiplicationTest.class.getSimpleName() + "/"; |
| private final static double eps = 1e-10; |
| |
| private final static int rows = 4045; |
| private final static int cols = 23; |
| |
| private final static double sparsity1 = 0.7; |
| private final static double sparsity2 = 0.1; |
| |
| |
| @Override |
| public void setUp() |
| { |
| addTestConfiguration(TEST_NAME1, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "C" }) ); |
| addTestConfiguration(TEST_NAME2, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] { "C" }) ); |
| } |
| |
| @Test |
| public void testMMRowDenseCP() |
| { |
| runMatrixMatrixMultiplicationTest(false, false, ExecType.CP, true, false); |
| } |
| |
| @Test |
| public void testMMRowSparseCP() |
| { |
| runMatrixMatrixMultiplicationTest(false, true, ExecType.CP, true, false); |
| } |
| |
| @Test |
| public void testMMColDenseCP() |
| { |
| runMatrixMatrixMultiplicationTest(false, false, ExecType.CP, false, false); |
| } |
| |
| @Test |
| public void testMMColSparseCP() |
| { |
| runMatrixMatrixMultiplicationTest(false, true, ExecType.CP, false, false); |
| } |
| |
| @Test |
| public void testMMRowDenseSpark_PMMJ() |
| { |
| runMatrixMatrixMultiplicationTest(false, false, ExecType.SPARK, true, true); |
| } |
| |
| @Test |
| public void testMMRowSparseSpark_PMMJ() |
| { |
| runMatrixMatrixMultiplicationTest(false, true, ExecType.SPARK, true, true); |
| } |
| |
| private void runMatrixMatrixMultiplicationTest( boolean sparseM1, boolean sparseM2, ExecType instType, boolean rowwise, boolean forcePMMJ) |
| { |
| //setup exec type, rows, cols |
| |
| //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; |
| |
| if(forcePMMJ) |
| AggBinaryOp.FORCED_MMULT_METHOD = MMultMethod.PMM; |
| |
| try |
| { |
| String TEST_NAME = (rowwise) ? TEST_NAME1 : TEST_NAME2; |
| getAndLoadTestConfiguration(TEST_NAME); |
| |
| /* 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[]{"-explain","-args", input("A"), |
| Integer.toString(rows), Integer.toString(cols), input("B"), output("C") }; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate actual dataset |
| double[][] A = getRandomMatrix(rows, cols, 0, 1, sparseM1?sparsity2:sparsity1, 7); |
| writeInputMatrix("A", A, true); |
| double[][] B = getRandomMatrix(rows, 1, 0.51, 3.49, 1.0, 3); |
| B = TestUtils.round(B); |
| writeInputMatrix("B", B, true); |
| |
| boolean exceptionExpected = false; |
| runTest(true, exceptionExpected, 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 = null; |
| } |
| } |
| } |