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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.
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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;
}
}
}