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/*
* 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.codegenalg.parttwo;
import java.io.File;
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;
public class AlgorithmPNMF extends AutomatedTestBase
{
private final static String TEST_NAME1 = "Algorithm_PNMF";
private final static String TEST_DIR = "functions/codegenalg/";
private final static String TEST_CLASS_DIR = TEST_DIR + AlgorithmPNMF.class.getSimpleName() + "/";
private final static double eps = 1e-5;
private final static int rows = 1468;
private final static int cols = 1207;
private final static int rank = 20;
private final static double sparsity1 = 0.7; //dense
private final static double sparsity2 = 0.1; //sparse
private final static double epsilon = 0.000000001;
private final static double maxiter = 10;
private CodegenTestType currentTestType = CodegenTestType.DEFAULT;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "w" }));
}
@Test
public void testPNMFDenseCP() {
runPNMFTest(TEST_NAME1, false, false, ExecType.CP, CodegenTestType.DEFAULT);
}
@Test
public void testPNMFSparseCP() {
runPNMFTest(TEST_NAME1, false, true, ExecType.CP, CodegenTestType.DEFAULT);
}
@Test
public void testPNMFDenseCPFuseAll() {
runPNMFTest(TEST_NAME1, false, false, ExecType.CP, CodegenTestType.FUSE_ALL);
}
@Test
public void testPNMFSparseCPFuseAll() {
runPNMFTest(TEST_NAME1, false, true, ExecType.CP, CodegenTestType.FUSE_ALL);
}
@Test
public void testPNMFDenseCPFuseNoRedundancy() {
runPNMFTest(TEST_NAME1, false, false, ExecType.CP, CodegenTestType.FUSE_NO_REDUNDANCY);
}
@Test
public void testPNMFSparseCPFuseNoRedundancy() {
runPNMFTest(TEST_NAME1, false, true, ExecType.CP, CodegenTestType.FUSE_NO_REDUNDANCY);
}
//TODO requires proper handling of blocksize constraints
//@Test
//public void testPNMFDenseSP() {
// runPNMFTest(TEST_NAME1, false, false, ExecType.SPARK);
//}
//@Test
//public void testPNMFSparseSP() {
// runPNMFTest(TEST_NAME1, false, true, ExecType.SPARK);
//}
private void runPNMFTest( String testname, boolean rewrites, boolean sparse, ExecType instType, CodegenTestType CodegenTestType)
{
boolean oldFlag = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION;
ExecMode platformOld = rtplatform;
switch( instType ){
case SPARK: rtplatform = ExecMode.SPARK; break;
default: rtplatform = ExecMode.HYBRID; break;
}
currentTestType = CodegenTestType;
boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
if( rtplatform == ExecMode.SPARK || rtplatform == ExecMode.HYBRID )
DMLScript.USE_LOCAL_SPARK_CONFIG = true;
try
{
String TEST_NAME = testname;
TestConfiguration config = getTestConfiguration(TEST_NAME);
loadTestConfiguration(config);
fullDMLScriptName = "scripts/staging/PNMF.dml";
programArgs = new String[]{ "-stats", "-args", input("X"),
input("W"), input("H"), String.valueOf(rank), String.valueOf(epsilon),
String.valueOf(maxiter), output("W"), output("H")};
rCmd = getRCmd(inputDir(), String.valueOf(rank), String.valueOf(epsilon),
String.valueOf(maxiter), expectedDir());
OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewrites;
//generate actual datasets
double[][] X = getRandomMatrix(rows, cols, 0, 1, sparse?sparsity2:sparsity1, 234);
writeInputMatrixWithMTD("X", X, true);
double[][] W = getRandomMatrix(rows, rank, 0, 0.025, 1.0, 3);
writeInputMatrixWithMTD("W", W, true);
double[][] H = getRandomMatrix(rank, cols, 0, 0.025, 1.0, 7);
writeInputMatrixWithMTD("H", H, true);
runTest(true, false, null, -1);
runRScript(true);
//compare matrices
HashMap<CellIndex, Double> dmlW = readDMLMatrixFromOutputDir("W");
HashMap<CellIndex, Double> dmlH = readDMLMatrixFromOutputDir("H");
HashMap<CellIndex, Double> rW = readRMatrixFromExpectedDir("W");
HashMap<CellIndex, Double> rH = readRMatrixFromExpectedDir("H");
TestUtils.compareMatrices(dmlW, rW, eps, "Stat-DML", "Stat-R");
TestUtils.compareMatrices(dmlH, rH, eps, "Stat-DML", "Stat-R");
Assert.assertTrue(heavyHittersContainsSubString("spoof") || heavyHittersContainsSubString("sp_spoof"));
}
finally {
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = oldFlag;
OptimizerUtils.ALLOW_AUTO_VECTORIZATION = true;
OptimizerUtils.ALLOW_OPERATOR_FUSION = true;
}
}
/**
* Override default configuration with custom test configuration to ensure
* scratch space and local temporary directory locations are also updated.
*/
@Override
protected File getConfigTemplateFile() {
return getCodegenConfigFile(SCRIPT_DIR + TEST_DIR, currentTestType);
}
}