| /* |
| * 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.unary.matrix; |
| |
| 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.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 MLUnaryBuiltinTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "SProp"; |
| private final static String TEST_NAME2 = "Sigmoid"; |
| |
| private final static String TEST_DIR = "functions/unary/matrix/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + MLUnaryBuiltinTest.class.getSimpleName() + "/"; |
| |
| private final static double eps = 1e-10; |
| |
| private final static int rowsMatrix = 1201; |
| private final static int colsMatrix = 1103; |
| private final static double spSparse = 0.05; |
| private final static double spDense = 0.5; |
| |
| private enum InputType { |
| COL_VECTOR, |
| MATRIX |
| } |
| |
| @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 testSampleProportionVectorDenseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.COL_VECTOR, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testSampleProportionVectorSparseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.COL_VECTOR, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testSampleProportionMatrixDenseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.MATRIX, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testSampleProportionMatrixSparseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.MATRIX, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testSampleProportionVectorDenseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.COL_VECTOR, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSampleProportionVectorSparseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.COL_VECTOR, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSampleProportionMatrixDenseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.MATRIX, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSampleProportionMatrixSparseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME1, InputType.MATRIX, true, ExecType.SPARK); |
| } |
| |
| |
| @Test |
| public void testSigmoidVectorDenseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.COL_VECTOR, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testSigmoidVectorSparseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.COL_VECTOR, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testSigmoidMatrixDenseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.MATRIX, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testSigmoidMatrixSparseCP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.MATRIX, true, ExecType.CP); |
| } |
| |
| @Test |
| public void testSigmoidVectorDenseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.COL_VECTOR, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSigmoidVectorSparseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.COL_VECTOR, true, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSigmoidMatrixDenseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.MATRIX, false, ExecType.SPARK); |
| } |
| |
| @Test |
| public void testSigmoidMatrixSparseSP() |
| { |
| runMLUnaryBuiltinTest(TEST_NAME2, InputType.MATRIX, true, ExecType.SPARK); |
| } |
| |
| private void runMLUnaryBuiltinTest( String testname, InputType type, boolean sparse, 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; |
| |
| try |
| { |
| int rows = rowsMatrix; |
| int cols = (type==InputType.COL_VECTOR) ? 1 : colsMatrix; |
| double sparsity = (sparse) ? spSparse : spDense; |
| String TEST_NAME = testname; |
| |
| String TEST_CACHE_DIR = ""; |
| if (TEST_CACHE_ENABLED) |
| { |
| TEST_CACHE_DIR = testname + type.ordinal() + "_" + sparsity + "/"; |
| } |
| |
| 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"), output("B") }; |
| |
| fullRScriptName = HOME + TEST_NAME + ".R"; |
| rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir(); |
| |
| //generate actual dataset |
| double[][] A = getRandomMatrix(rows, cols, -0.05, 1, sparsity, 7); |
| writeInputMatrixWithMTD("A", A, true); |
| |
| runTest(true, false, null, -1); |
| if( instType==ExecType.CP ) //in CP no MR jobs should be executed |
| Assert.assertEquals("Unexpected number of executed MR jobs.", 0, Statistics.getNoOfExecutedSPInst()); |
| |
| runRScript(true); |
| |
| //compare matrices |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("B"); |
| HashMap<CellIndex, Double> rfile = readRMatrixFromExpectedDir("B"); |
| TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R"); |
| } |
| finally |
| { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| } |