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* Licensed to the Apache Software Foundation (ASF) under one
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* 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
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* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
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package org.apache.sysds.test.functions.binary.matrix;
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.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 BinUaggChainTest extends AutomatedTestBase
{
private final static String TEST_NAME1 = "BinUaggChain_Col";
private final static String TEST_DIR = "functions/binary/matrix/";
private final static String TEST_CLASS_DIR = TEST_DIR + BinUaggChainTest.class.getSimpleName() + "/";
private final static double eps = 1e-8;
private final static int rows = 1468;
private final static int cols1 = 73; //single block
private final static int cols2 = 1052; //multi block
private final static double sparsity1 = 0.5; //dense
private final static double sparsity2 = 0.1; //sparse
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "B" }));
}
// -------------------------
@Test
public void testBinUaggChainColSingleDenseSP() {
runBinUaggTest(TEST_NAME1, true, false, ExecType.SPARK);
}
@Test
public void testBinUaggChainColSingleSparseSP() {
runBinUaggTest(TEST_NAME1, true, true, ExecType.SPARK);
}
@Test
public void testBinUaggChainColMultiDenseSP() {
runBinUaggTest(TEST_NAME1, false, false, ExecType.SPARK);
}
@Test
public void testBinUaggChainColMultiSparseSP() {
runBinUaggTest(TEST_NAME1, false, true, ExecType.SPARK);
}
private void runBinUaggTest( String testname, boolean singleBlock, 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
{
String TEST_NAME = testname;
getAndLoadTestConfiguration(TEST_NAME);
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 datasets
double[][] A = getRandomMatrix(rows, singleBlock?cols1:cols2, -1, 1, sparse?sparsity2:sparsity1, 7);
writeInputMatrixWithMTD("A", A, true);
runTest(true, false, null, -1);
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");
//check compiled/executed jobs
int expectedNumCompiled = (singleBlock)?4:5;
int expectedNumExecuted = (singleBlock)?4:5;
checkNumCompiledSparkInst(expectedNumCompiled);
checkNumExecutedSparkInst(expectedNumExecuted);
Assert.assertEquals(singleBlock,
heavyHittersContainsSubString("binuaggchain"));
}
finally {
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
}
}
}