| /* |
| * 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.applications; |
| |
| 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.OptimizerUtils; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| import org.apache.sysds.lops.MMTSJ.MMTSJType; |
| import org.apache.sysds.runtime.instructions.InstructionUtils; |
| import org.apache.sysds.runtime.matrix.data.LibCommonsMath; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| 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 ScalableDecompositionTest extends AutomatedTestBase |
| { |
| private final static String TEST_NAME1 = "ScalableDecomposition"; |
| private final static String TEST_DIR = "applications/decomp/"; |
| private final static String TEST_CLASS_DIR = |
| TEST_DIR + ScalableDecompositionTest.class.getSimpleName() + "/"; |
| |
| private final static int rows = 1362; |
| private final static int cols = 1362; |
| private final static int blen = 200; |
| private final static double eps = 1e-7; |
| |
| private enum DecompType { |
| CHOLESKY, LU, QR, SOLVE, INVERSE |
| } |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] { "C","D","E" })); |
| } |
| |
| @Test |
| public void testCholeskyCP() { |
| runKMeansTest(TEST_NAME1, DecompType.CHOLESKY, false, ExecType.CP); |
| } |
| |
| @Test |
| public void testCholeskyRewritesCP() { |
| runKMeansTest(TEST_NAME1, DecompType.CHOLESKY, true, ExecType.CP); |
| } |
| |
| // @Test |
| // public void testCholeskySP() { |
| // runKMeansTest(TEST_NAME1, DecompType.CHOLESKY, false, ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testCholeskyRewritesSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.CHOLESKY, true, ExecType.SPARK); |
| // } |
| |
| // @Test |
| // public void testLUDecompCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.LU, false, ExecType.CP); |
| // } |
| // |
| // @Test |
| // public void testLUDecompRewritesCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.LU, true, ExecType.CP); |
| // } |
| |
| // @Test |
| // public void testLUDecompSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.LU, false, ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testLUDecompRewritesSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.LU, true, ExecType.SPARK); |
| // } |
| |
| // @Test |
| // public void testQRDecompCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.QR, false, ExecType.CP); |
| // } |
| // |
| // @Test |
| // public void testQRDecompRewritesCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.QR, true, ExecType.CP); |
| // } |
| |
| // @Test |
| // public void testQRDecompSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.QR, false, ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testQRDecompRewritesSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.QR, true, ExecType.SPARK); |
| // } |
| |
| // @Test |
| // public void testSolveCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, false, ExecType.CP); |
| // } |
| // |
| // @Test |
| // public void testSolveRewritesCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, true, ExecType.CP); |
| // } |
| |
| // @Test |
| // public void testSolveSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, false, ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testSolveRewritesSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, true, ExecType.SPARK); |
| // } |
| |
| // @Test |
| // public void testInverseCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, false, ExecType.CP); |
| // } |
| // |
| // @Test |
| // public void testInverseRewritesCP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, true, ExecType.CP); |
| // } |
| |
| // @Test |
| // public void testInverseSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, false, ExecType.SPARK); |
| // } |
| // |
| // @Test |
| // public void testInverseRewritesSP() { |
| // runKMeansTest(TEST_NAME1, DecompType.SOLVE, true, ExecType.SPARK); |
| // } |
| |
| |
| private void runKMeansTest(String testname, DecompType type, boolean rewrites, ExecType instType) |
| { |
| boolean oldFlag1 = OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION; |
| boolean oldFlag2 = OptimizerUtils.ALLOW_INTER_PROCEDURAL_ANALYSIS; |
| 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 || rtplatform == ExecMode.HYBRID) |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| |
| try |
| { |
| TestConfiguration config = getTestConfiguration(testname); |
| loadTestConfiguration(config); |
| |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = rewrites; |
| OptimizerUtils.ALLOW_INTER_PROCEDURAL_ANALYSIS = rewrites; |
| |
| fullDMLScriptName = SCRIPT_DIR + TEST_DIR + testname + ".dml"; |
| programArgs = new String[]{"-stats", "-explain", "hops", "-args", |
| String.valueOf(type.ordinal()), String.valueOf(blen), |
| input("A"), input("B"), output("C"), output("D"), output("E") }; |
| |
| switch( type ) { |
| case CHOLESKY: { |
| MatrixBlock A = MatrixBlock.randOperations(rows, cols, 1.0, -5, 10, "uniform", 7); |
| MatrixBlock AtA = A.transposeSelfMatrixMultOperations(new MatrixBlock(), MMTSJType.LEFT); |
| writeInputMatrixWithMTD("A", AtA, false); |
| runTest(true, false, null, -1); |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("C"); |
| MatrixBlock C2 = LibCommonsMath.unaryOperations(AtA, "cholesky"); |
| TestUtils.compareMatrices(dmlfile, C2, eps); |
| break; |
| } |
| case SOLVE: { |
| MatrixBlock A = MatrixBlock.randOperations(rows, cols, 1.0, -5, 10, "uniform", 7); |
| MatrixBlock b = MatrixBlock.randOperations(cols, 1, 1.0, -1, 1, "uniform", 3); |
| MatrixBlock y = A.aggregateBinaryOperations(A, b, new MatrixBlock(), InstructionUtils.getMatMultOperator(1)); |
| writeInputMatrixWithMTD("A", A, false); |
| writeInputMatrixWithMTD("B", y, false); |
| runTest(true, false, null, -1); |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("C"); |
| MatrixBlock C2 = LibCommonsMath.matrixMatrixOperations(A, b, "solve"); |
| TestUtils.compareMatrices(dmlfile, C2, eps); |
| break; |
| } |
| case LU: { |
| MatrixBlock A = MatrixBlock.randOperations(rows, cols, 1.0, -5, 10, "uniform", 7); |
| writeInputMatrixWithMTD("A", A, false); |
| runTest(true, false, null, -1); |
| MatrixBlock[] C = LibCommonsMath.multiReturnOperations(A, "lu"); |
| String[] outputs = new String[]{"C","D","E"}; |
| for(int i=0; i<outputs.length; i++) { |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir(outputs[i]); |
| TestUtils.compareMatrices(dmlfile, C[i], eps); |
| } |
| break; |
| } |
| case QR: { |
| MatrixBlock A = MatrixBlock.randOperations(rows, cols, 1.0, -5, 10, "uniform", 7); |
| writeInputMatrixWithMTD("A", A, false); |
| runTest(true, false, null, -1); |
| MatrixBlock[] C = LibCommonsMath.multiReturnOperations(A, "qr"); |
| String[] outputs = new String[]{"C","D","E"}; |
| for(int i=0; i<outputs.length; i++) { |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir(outputs[i]); |
| TestUtils.compareMatrices(dmlfile, C[i], eps); |
| } |
| break; |
| } |
| case INVERSE: { |
| MatrixBlock A = MatrixBlock.randOperations(rows, cols, 1.0, -5, 10, "uniform", 7); |
| writeInputMatrixWithMTD("A", A, false); |
| runTest(true, false, null, -1); |
| HashMap<CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("C"); |
| MatrixBlock C2 = LibCommonsMath.unaryOperations(A, "inverse"); |
| TestUtils.compareMatrices(dmlfile, C2, eps); |
| break; |
| } |
| } |
| } |
| finally { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| OptimizerUtils.ALLOW_ALGEBRAIC_SIMPLIFICATION = oldFlag1; |
| OptimizerUtils.ALLOW_INTER_PROCEDURAL_ANALYSIS = oldFlag2; |
| } |
| } |
| } |