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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_full_other;
import java.util.HashMap;
import org.junit.AfterClass;
import org.junit.Assert;
import org.junit.BeforeClass;
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.lops.MMTSJ.MMTSJType;
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;
/**
* This testcase validates the new tsmm2 (spark only) instruction. We test against
* all backends to ensure this operator is not mistakenly compiled for MR/CP.
*
*/
public class FullMatrixMultiplicationTransposeSelf2Test extends AutomatedTestBase
{
private final static String TEST_NAME1 = "TransposeSelfMatrixMultiplication1";
private final static String TEST_NAME2 = "TransposeSelfMatrixMultiplication2";
private final static String TEST_DIR = "functions/binary/matrix_full_other/";
private final static String TEST_CLASS_DIR = TEST_DIR + FullMatrixMultiplicationTransposeSelf2Test.class.getSimpleName() + "/";
private final static double eps = 1e-10;
private final static int rows1 = 2105;
private final static int cols1 = 1003; //multi-block, but excess fits in broadcast
private final static double sparsity1 = 0.64;
private final static double sparsity2 = 0.07;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "B" }));
addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] { "B" }));
if (TEST_CACHE_ENABLED)
setOutAndExpectedDeletionDisabled(true);
}
@BeforeClass
public static void init() {
TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR);
}
@AfterClass
public static void cleanUp() {
if (TEST_CACHE_ENABLED)
TestUtils.clearDirectory(TEST_DATA_DIR + TEST_CLASS_DIR);
}
@Test
public void testTSMMLeftDenseCP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.CP, false);
}
@Test
public void testTSMMLeftSparseCP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.CP, true);
}
@Test
public void testTSMMRightDenseCP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.CP, false);
}
@Test
public void testTSMMRightSparseCP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.CP, true);
}
@Test
public void testTSMMLeftDenseSP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.SPARK, false);
}
@Test
public void testTSMMLeftSparseSP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.LEFT, ExecType.SPARK, true);
}
@Test
public void testTSMMRightDenseSP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.SPARK, false);
}
@Test
public void testTSMMRightSparseSP() {
runTransposeSelfMatrixMultiplicationTest(MMTSJType.RIGHT, ExecType.SPARK, true);
}
private void runTransposeSelfMatrixMultiplicationTest( MMTSJType type, ExecType instType, boolean sparse )
{
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;
if( instType == ExecType.SPARK ) //force tsmm2 to prevent mapmm
AggBinaryOp.FORCED_MMULT_METHOD = MMultMethod.TSMM2;
//setup exec type, rows, cols, caching dir
int rows = (type == MMTSJType.LEFT) ? rows1 : cols1;
int cols = (type == MMTSJType.LEFT) ? cols1 : rows1;
double sparsity = sparse ? sparsity2 : sparsity1;
String TEST_NAME = (type == MMTSJType.LEFT) ? TEST_NAME1 : TEST_NAME2;
String TEST_CACHE_DIR = "";
if (TEST_CACHE_ENABLED)
TEST_CACHE_DIR = rows + "_" + cols + "_" + sparsity + "/";
try
{
TestConfiguration config = getTestConfiguration(TEST_NAME);
loadTestConfiguration(config, TEST_CACHE_DIR);
/* 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", input("A"),
Integer.toString(rows), Integer.toString(cols), output("B") };
fullRScriptName = HOME + TEST_NAME + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir();
//generate actual dataset
double[][] A = getRandomMatrix(rows, cols, 0, 1, sparsity, 7);
writeInputMatrix("A", A, true);
//run dml and R scripts
setOutputBuffering(false);
runTest(true, false, null, -1);
runRScript(true);
//compare matrices
HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromHDFS("B");
HashMap<CellIndex, Double> rfile = readRMatrixFromFS("B");
TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");
//check for compiled tsmm instructions
if( instType == ExecType.SPARK || instType == ExecType.CP ) {
String opcode = (instType==ExecType.SPARK) ? Instruction.SP_INST_PREFIX + "tsmm2" : "tsmm";
Assert.assertTrue("Missing opcode: "+opcode, Statistics.getCPHeavyHitterOpCodes().contains(opcode) );
}
}
finally {
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
AggBinaryOp.FORCED_MMULT_METHOD = null;
rtplatform = platformOld;
}
}
}