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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.ternary;
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.hops.rewrite.RewriteElementwiseMultChainOptimization;
import org.apache.sysds.lops.LopProperties.ExecType;
import org.apache.sysds.runtime.instructions.Instruction;
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;
/**
* Similar to {@link TernaryAggregateTest} except that it tests `sum(A*B*A)`.
* Checks compatibility with {@link RewriteElementwiseMultChainOptimization}.
*/
public class ABATernaryAggregateTest extends AutomatedTestBase
{
private final static String TEST_NAME1 = "ABATernaryAggregateRC";
private final static String TEST_NAME2 = "ABATernaryAggregateC";
private final static String TEST_NAME3 = "AAATernaryAggregateRC";
private final static String TEST_NAME4 = "AAATernaryAggregateC";
private final static String TEST_DIR = "functions/ternary/";
private final static String TEST_CLASS_DIR = TEST_DIR + ABATernaryAggregateTest.class.getSimpleName() + "/";
private final static double eps = 1e-8;
private final static int rows = 111;
private final static int cols = 101;
private final static double sparsity1 = 0.7;
private final static double sparsity2 = 0.3;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "R" }) );
addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] { "R" }) );
addTestConfiguration(TEST_NAME3, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME3, new String[] { "R" }) );
addTestConfiguration(TEST_NAME4, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME4, new String[] { "R" }) );
}
@Test
public void testTernaryAggregateRCDenseVectorCP() {
runTernaryAggregateTest(TEST_NAME1, false, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseVectorCP() {
runTernaryAggregateTest(TEST_NAME1, true, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCDenseMatrixCP() {
runTernaryAggregateTest(TEST_NAME1, false, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseMatrixCP() {
runTernaryAggregateTest(TEST_NAME1, true, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCDenseVectorSP() {
runTernaryAggregateTest(TEST_NAME1, false, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateRCSparseVectorSP() {
runTernaryAggregateTest(TEST_NAME1, true, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateRCDenseMatrixSP() {
runTernaryAggregateTest(TEST_NAME1, false, false, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateRCSparseMatrixSP() {
runTernaryAggregateTest(TEST_NAME1, true, false, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCDenseVectorCP() {
runTernaryAggregateTest(TEST_NAME2, false, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseVectorCP() {
runTernaryAggregateTest(TEST_NAME2, true, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseMatrixCP() {
runTernaryAggregateTest(TEST_NAME2, false, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseMatrixCP() {
runTernaryAggregateTest(TEST_NAME2, true, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseVectorSP() {
runTernaryAggregateTest(TEST_NAME2, false, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCSparseVectorSP() {
runTernaryAggregateTest(TEST_NAME2, true, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCDenseMatrixSP() {
runTernaryAggregateTest(TEST_NAME2, false, false, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCSparseMatrixSP() {
runTernaryAggregateTest(TEST_NAME2, true, false, true, ExecType.SPARK);
}
//additional tests to check default without rewrites
@Test
public void testTernaryAggregateRCDenseVectorCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME1, false, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseVectorCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME1, true, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateRCDenseMatrixCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME1, false, false, false, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseMatrixCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME1, true, false, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseVectorCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME2, false, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseVectorCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME2, true, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseMatrixCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME2, false, false, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseMatrixCPNoRewrite() {
runTernaryAggregateTest(TEST_NAME2, true, false, false, ExecType.CP);
}
// another set of tests for the case of sum(A*A*A)
@Test
public void testTernaryAggregateRCDenseVectorCP_AAA() {
runTernaryAggregateTest(TEST_NAME3, false, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseVectorCP_AAA() {
runTernaryAggregateTest(TEST_NAME3, true, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCDenseMatrixCP_AAA() {
runTernaryAggregateTest(TEST_NAME3, false, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseMatrixCP_AAA() {
runTernaryAggregateTest(TEST_NAME3, true, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateRCDenseVectorSP_AAA() {
runTernaryAggregateTest(TEST_NAME3, false, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateRCSparseVectorSP_AAA() {
runTernaryAggregateTest(TEST_NAME3, true, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateRCDenseMatrixSP_AAA() {
runTernaryAggregateTest(TEST_NAME3, false, false, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateRCSparseMatrixSP_AAA() {
runTernaryAggregateTest(TEST_NAME3, true, false, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCDenseVectorCP_AAA() {
runTernaryAggregateTest(TEST_NAME4, false, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseVectorCP_AAA() {
runTernaryAggregateTest(TEST_NAME4, true, true, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseMatrixCP_AAA() {
runTernaryAggregateTest(TEST_NAME4, false, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseMatrixCP_AAA() {
runTernaryAggregateTest(TEST_NAME4, true, false, true, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseVectorSP_AAA() {
runTernaryAggregateTest(TEST_NAME4, false, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCSparseVectorSP_AAA() {
runTernaryAggregateTest(TEST_NAME4, true, true, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCDenseMatrixSP_AAA() {
runTernaryAggregateTest(TEST_NAME4, false, false, true, ExecType.SPARK);
}
@Test
public void testTernaryAggregateCSparseMatrixSP_AAA() {
runTernaryAggregateTest(TEST_NAME4, true, false, true, ExecType.SPARK);
}
//additional tests to check default without rewrites
@Test
public void testTernaryAggregateRCDenseVectorCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME3, false, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseVectorCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME3, true, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateRCDenseMatrixCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME3, false, false, false, ExecType.CP);
}
@Test
public void testTernaryAggregateRCSparseMatrixCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME3, true, false, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseVectorCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME4, false, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseVectorCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME4, true, true, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCDenseMatrixCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME4, false, false, false, ExecType.CP);
}
@Test
public void testTernaryAggregateCSparseMatrixCPNoRewrite_AAA() {
runTernaryAggregateTest(TEST_NAME4, true, false, false, ExecType.CP);
}
private void runTernaryAggregateTest(String testname, boolean sparse, boolean vectors, boolean rewrites, ExecType et)
{
//rtplatform for MR
ExecMode platformOld = rtplatform;
switch( et ){
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;
boolean rewritesOld = OptimizerUtils.ALLOW_SUM_PRODUCT_REWRITES;
try {
TestConfiguration config = getTestConfiguration(testname);
loadTestConfiguration(config);
OptimizerUtils.ALLOW_SUM_PRODUCT_REWRITES = rewrites;
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + testname + ".dml";
programArgs = new String[]{"-explain","-stats","-args", input("A"), output("R")};
fullRScriptName = HOME + testname + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " +
inputDir() + " " + expectedDir();
//generate actual dataset
double sparsity = sparse ? sparsity2 : sparsity1;
double[][] A = getRandomMatrix(vectors ? rows*cols : rows,
vectors ? 1 : cols, 0, 1, sparsity, 17);
writeInputMatrixWithMTD("A", A, true);
//run test cases
runTest(true, false, null, -1);
runRScript(true);
//compare output matrices
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("R");
HashMap<CellIndex, Double> rfile = readRMatrixFromExpectedDir("R");
TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");
//check for rewritten patterns in statistics output
if( rewrites ) {
String opcode = ((et == ExecType.SPARK) ? Instruction.SP_INST_PREFIX : "") +
(((testname.equals(TEST_NAME1) || testname.equals(TEST_NAME3) || vectors ) ? "tak+*" : "tack+*"));
Assert.assertTrue(Statistics.getCPHeavyHitterOpCodes().contains(opcode));
}
}
finally {
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
OptimizerUtils.ALLOW_SUM_PRODUCT_REWRITES = rewritesOld;
}
}
}