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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.binary.matrix;
import java.util.HashMap;
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.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 ZipMMSparkMatrixMultiplicationTest extends AutomatedTestBase
{
private final static String TEST_NAME1 = "ZipMMTest";
private final static String TEST_DIR = "functions/binary/matrix/";
private final static String TEST_CLASS_DIR = TEST_DIR +
ZipMMSparkMatrixMultiplicationTest.class.getSimpleName() + "/";
private final static double eps = 1e-10;
//singleblock (zipmm applied)
private final static int rowsA = 2407;
private final static int colsA = 312;
private final static int rowsB = 2407;
private final static int colsB1 = 73;
private final static int colsB2 = 1;
private final static double sparsity1 = 0.7;
private final static double sparsity2 = 0.1;
@Override
public void setUp()
{
addTestConfiguration( TEST_NAME1,
new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "C" }) );
}
@Test
public void testZipMMDenseDenseSP()
{
runZipMMMatrixMultiplicationTest(false, false, ExecType.SPARK, false);
}
@Test
public void testZipMMDenseSparseSP()
{
runZipMMMatrixMultiplicationTest(false, true, ExecType.SPARK, false);
}
@Test
public void testZipMMSparseDenseSP()
{
runZipMMMatrixMultiplicationTest(true, false, ExecType.SPARK, false);
}
@Test
public void testZipMMSparseSparseSP()
{
runZipMMMatrixMultiplicationTest(true, true, ExecType.SPARK, false);
}
@Test
public void testZipMMDenseDenseMVSP()
{
runZipMMMatrixMultiplicationTest(false, false, ExecType.SPARK, true);
}
@Test
public void testZipMMDenseSparseMVSP()
{
runZipMMMatrixMultiplicationTest(false, true, ExecType.SPARK, true);
}
@Test
public void testZipMMSparseDenseMVSP()
{
runZipMMMatrixMultiplicationTest(true, false, ExecType.SPARK, true);
}
@Test
public void testZipMMSparseSparseMVSP()
{
runZipMMMatrixMultiplicationTest(true, true, ExecType.SPARK, true);
}
/**
*
* @param sparseM1
* @param sparseM2
* @param instType
*/
private void runZipMMMatrixMultiplicationTest( boolean sparseM1, boolean sparseM2, ExecType instType, boolean vectorM2)
{
//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;
//force zipmm execution
MMultMethod methodOld = AggBinaryOp.FORCED_MMULT_METHOD;
AggBinaryOp.FORCED_MMULT_METHOD = MMultMethod.ZIPMM;
int colsB = vectorM2 ? colsB1 : colsB2;
String TEST_NAME = TEST_NAME1;
try
{
getAndLoadTestConfiguration(TEST_NAME);
/* 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[]{"-explain","-args", input("A"), input("B"), output("C")};
fullRScriptName = HOME + TEST_NAME + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();
//generate actual dataset
double[][] A = getRandomMatrix(rowsA, colsA, 0, 1, sparseM1?sparsity2:sparsity1, 7);
writeInputMatrixWithMTD("A", A, true);
double[][] B = getRandomMatrix(rowsB, colsB, 0, 1, sparseM2?sparsity2:sparsity1, 3);
writeInputMatrixWithMTD("B", B, true);
//run test case
runTest(true, false, null, -1);
runRScript(true);
//compare matrices
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("C");
HashMap<CellIndex, Double> rfile = readRMatrixFromExpectedDir("C");
TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");
}
finally
{
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
AggBinaryOp.FORCED_MMULT_METHOD = methodOld;
}
}
}