| /* |
| * 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_cellwise; |
| |
| import java.util.HashMap; |
| |
| import org.junit.Assert; |
| 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; |
| import org.apache.sysds.utils.Statistics; |
| |
| public class FullMinus1MultTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME = "Minus1MultTest"; |
| private final static String TEST_DIR = "functions/binary/matrix_full_cellwise/"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + FullMinus1MultTest.class.getSimpleName() + "/"; |
| |
| private final static double eps = 1e-10; |
| |
| private final static int rows = 3102; |
| private final static double sparsity1 = 0.7; |
| private final static double sparsity2 = 0.45; |
| |
| @Override |
| public void setUp() |
| { |
| addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[]{"C"})); |
| } |
| |
| @Test |
| public void testMinus1MultMatrixMatrixCP() { |
| runMinus1MultTest(-1, ExecType.CP, true); |
| } |
| |
| @Test |
| public void testMinus1MultScalarMatrixCP() { |
| runMinus1MultTest(1, ExecType.CP, true); |
| } |
| |
| @Test |
| public void testMinus1MultMatrixScalarCP() { |
| runMinus1MultTest(2, ExecType.CP, true); |
| } |
| |
| @Test |
| public void testMinus1MultMatrixMatrixSP() { |
| runMinus1MultTest(-1, ExecType.SPARK, true); |
| } |
| |
| @Test |
| public void testMinus1MultScalarMatrixSP() { |
| runMinus1MultTest(1, ExecType.SPARK, true); |
| } |
| |
| @Test |
| public void testMinus1MultMatrixScalarSP() { |
| runMinus1MultTest(2, ExecType.SPARK, true); |
| } |
| |
| |
| private void runMinus1MultTest( int posScalar, ExecType instType, boolean rewrites) |
| { |
| 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; |
| |
| //rewrites |
| boolean oldFlagRewrites = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION; |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewrites; |
| |
| try |
| { |
| TestConfiguration config = getTestConfiguration(TEST_NAME); |
| loadTestConfiguration(config); |
| |
| // 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", //stats required for opcode check |
| input("A"), input("B"), output("C") }; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate input datasets |
| double[][] A = getRandomMatrix((posScalar!=1)?rows:1, 1, -1, 1, (posScalar!=1)?sparsity1:1, 101); |
| writeInputMatrixWithMTD("A", A, true); |
| double[][] B = getRandomMatrix((posScalar!=2)?rows:1, 1, -1, 1, (posScalar!=2)?sparsity2:1, 102); |
| writeInputMatrixWithMTD("B", B, true); |
| |
| 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"); |
| |
| //check generated opcode |
| if( rewrites ){ |
| if( instType == ExecType.CP ) |
| Assert.assertTrue("Missing opcode: 1-*", Statistics.getCPHeavyHitterOpCodes().contains("1-*") || |
| Statistics.getCPHeavyHitterOpCodes().contains("gpu_1-*")); |
| else if( instType == ExecType.SPARK ) |
| Assert.assertTrue("Missing opcode: sp_1-* | sp_map1-*", |
| Statistics.getCPHeavyHitterOpCodes().contains("sp_1-*") || |
| Statistics.getCPHeavyHitterOpCodes().contains("sp_map1-*")); |
| } |
| } |
| finally |
| { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = oldFlagRewrites; |
| } |
| } |
| } |