| /* |
| * 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.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.hops.AggBinaryOp; |
| import org.apache.sysds.hops.AggBinaryOp.MMultMethod; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| import org.apache.sysds.lops.MMTSJ.MMTSJType; |
| import org.apache.sysds.runtime.instructions.Instruction; |
| 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; |
| |
| /** |
| * This testcase validates the new tsmm2 (spark only) instruction. We test against |
| * all backends to ensure this operator is not mistakenly compiled for MR/CP. |
| * |
| */ |
| public class FullMatrixMultiplicationTransposeSelf2Test extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "TransposeSelfMatrixMultiplication1"; |
| private final static String TEST_NAME2 = "TransposeSelfMatrixMultiplication2"; |
| private final static String TEST_DIR = "functions/binary/matrix_full_other/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + FullMatrixMultiplicationTransposeSelf2Test.class.getSimpleName() + "/"; |
| private final static double eps = 1e-10; |
| |
| private final static int rows1 = 2105; |
| private final static int cols1 = 1003; //multi-block, but excess fits in broadcast |
| |
| private final static double sparsity1 = 0.64; |
| private final static double sparsity2 = 0.07; |
| |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| 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 testTSMMLeftDenseCP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.CP, false); |
| } |
| |
| @Test |
| public void testTSMMLeftSparseCP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.CP, true); |
| } |
| |
| @Test |
| public void testTSMMRightDenseCP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.CP, false); |
| } |
| |
| @Test |
| public void testTSMMRightSparseCP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.CP, true); |
| } |
| |
| @Test |
| public void testTSMMLeftDenseSP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.SPARK, false); |
| } |
| |
| @Test |
| public void testTSMMLeftSparseSP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.SPARK, true); |
| } |
| |
| @Test |
| public void testTSMMRightDenseSP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.SPARK, false); |
| } |
| |
| @Test |
| public void testTSMMRightSparseSP() { |
| runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.SPARK, true); |
| } |
| |
| private void runTransposeSelfMatrixMultiplicationTest( MMTSJType type, ExecType instType, boolean sparse ) |
| { |
| 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( instType == ExecType.SPARK ) //force tsmm2 to prevent mapmm |
| AggBinaryOp.FORCED_MMULT_METHOD = MMultMethod.TSMM2; |
| |
| //setup exec type, rows, cols, caching dir |
| int rows = (type == MMTSJType.LEFT) ? rows1 : cols1; |
| int cols = (type == MMTSJType.LEFT) ? cols1 : rows1; |
| double sparsity = sparse ? sparsity2 : sparsity1; |
| String TEST_NAME = (type == MMTSJType.LEFT) ? TEST_NAME1 : TEST_NAME2; |
| |
| String TEST_CACHE_DIR = ""; |
| if (TEST_CACHE_ENABLED) |
| TEST_CACHE_DIR = rows + "_" + cols + "_" + sparsity + "/"; |
| |
| try |
| { |
| 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[]{"-stats", "-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, 1, sparsity, 7); |
| writeInputMatrix("A", A, true); |
| |
| //run dml and R scripts |
| setOutputBuffering(false); |
| 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"); |
| |
| //check for compiled tsmm instructions |
| if( instType == ExecType.SPARK || instType == ExecType.CP ) { |
| String opcode = (instType==ExecType.SPARK) ? Instruction.SP_INST_PREFIX + "tsmm2" : "tsmm"; |
| Assert.assertTrue("Missing opcode: "+opcode, Statistics.getCPHeavyHitterOpCodes().contains(opcode) ); |
| } |
| } |
| finally { |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| AggBinaryOp.FORCED_MMULT_METHOD = null; |
| rtplatform = platformOld; |
| } |
| } |
| } |