| /* |
| * 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.frame; |
| |
| import java.io.IOException; |
| |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.common.Types.FileFormat; |
| import org.apache.sysds.lops.LopProperties.ExecType; |
| import org.apache.sysds.runtime.io.FrameWriter; |
| import org.apache.sysds.runtime.io.FrameWriterFactory; |
| import org.apache.sysds.runtime.io.MatrixReader; |
| import org.apache.sysds.runtime.io.MatrixReaderFactory; |
| import org.apache.sysds.runtime.matrix.data.FrameBlock; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| import org.apache.sysds.runtime.util.DataConverter; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| import org.apache.sysds.test.TestUtils; |
| |
| public class FrameMatrixReblockTest extends AutomatedTestBase |
| { |
| private final static String TEST_DIR = "functions/frame/"; |
| private final static String TEST_NAME1 = "FrameMatrixReblock"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + FrameMatrixReblockTest.class.getSimpleName() + "/"; |
| |
| private final static int rows = 2593; |
| private final static int cols1 = 372; |
| private final static int cols2 = 1102; |
| private final static double sparsity1 = 0.9; |
| 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[] {"B"})); |
| } |
| |
| @Test |
| public void testFrameWriteSingleDenseBinaryCP() { |
| runFrameReblockTest(TEST_NAME1, false, false, "binary", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteSingleDenseTextcellCP() { |
| runFrameReblockTest(TEST_NAME1, false, false, "text", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteSingleDenseCsvCP() { |
| runFrameReblockTest(TEST_NAME1, false, false, "csv", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleDenseBinaryCP() { |
| runFrameReblockTest(TEST_NAME1, true, false, "binary", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleDenseTextcellCP() { |
| runFrameReblockTest(TEST_NAME1, true, false, "text", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleDenseCsvCP() { |
| runFrameReblockTest(TEST_NAME1, true, false, "csv", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteSingleDenseBinarySpark() { |
| runFrameReblockTest(TEST_NAME1, false, false, "binary", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteSingleDenseTextcellSpark() { |
| runFrameReblockTest(TEST_NAME1, false, false, "text", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteSingleDenseCsvSpark() { |
| runFrameReblockTest(TEST_NAME1, false, false, "csv", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleDenseBinarySpark() { |
| runFrameReblockTest(TEST_NAME1, true, false, "binary", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleDenseTextcellSpark() { |
| runFrameReblockTest(TEST_NAME1, true, false, "text", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleDenseCsvSpark() { |
| runFrameReblockTest(TEST_NAME1, true, false, "csv", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteSingleSparseBinaryCP() { |
| runFrameReblockTest(TEST_NAME1, false, true, "binary", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteSingleSparseTextcellCP() { |
| runFrameReblockTest(TEST_NAME1, false, true, "text", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteSingleSparseCsvCP() { |
| runFrameReblockTest(TEST_NAME1, false, true, "csv", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleSparseBinaryCP() { |
| runFrameReblockTest(TEST_NAME1, true, true, "binary", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleSparseTextcellCP() { |
| runFrameReblockTest(TEST_NAME1, true, true, "text", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleSparseCsvCP() { |
| runFrameReblockTest(TEST_NAME1, true, true, "csv", ExecType.CP); |
| } |
| |
| @Test |
| public void testFrameWriteSingleSparseBinarySpark() { |
| runFrameReblockTest(TEST_NAME1, false, true, "binary", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteSingleSparseTextcellSpark() { |
| runFrameReblockTest(TEST_NAME1, false, true, "text", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteSingleSparseCsvSpark() { |
| runFrameReblockTest(TEST_NAME1, false, true, "csv", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleSparseBinarySpark() { |
| runFrameReblockTest(TEST_NAME1, true, true, "binary", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleSparseTextcellSpark() { |
| runFrameReblockTest(TEST_NAME1, true, true, "text", ExecType.SPARK); |
| } |
| |
| @Test |
| public void testFrameWriteMultipleSparseCsvSpark() { |
| runFrameReblockTest(TEST_NAME1, true, true, "csv", ExecType.SPARK); |
| } |
| |
| private void runFrameReblockTest( String testname, boolean multColBlks, boolean sparse, String ofmt, 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; |
| |
| try |
| { |
| int cols = multColBlks ? cols2 : cols1; |
| double sparsity = sparse ? sparsity2 : sparsity1; |
| |
| TestConfiguration config = getTestConfiguration(testname); |
| loadTestConfiguration(config); |
| |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| fullDMLScriptName = HOME + testname + ".dml"; |
| programArgs = new String[]{"-explain","-args", input("A"), String.valueOf(rows), |
| String.valueOf(cols), output("B"), ofmt }; |
| |
| //generate input data |
| double[][] A = getRandomMatrix(rows, cols, -1, 1, sparsity, 7); |
| writeFrameInput(input("A"), ofmt, A, rows, cols); |
| |
| //run testcase |
| runTest(true, false, null, -1); |
| |
| //compare matrices |
| double[][] B = readMatrixOutput(output("B"), ofmt, rows, cols); |
| TestUtils.compareMatrices(A, B, rows, cols, 0); |
| } |
| catch(Exception ex) { |
| throw new RuntimeException(ex); |
| } |
| finally { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| |
| private static void writeFrameInput(String fname, String ofmt, double[][] frame, int rows, int cols) |
| throws IOException |
| { |
| MatrixBlock mb = DataConverter.convertToMatrixBlock(frame); |
| FrameBlock fb = DataConverter.convertToFrameBlock(mb); |
| |
| //write input data |
| FrameWriter writer = FrameWriterFactory.createFrameWriter(FileFormat.safeValueOf(ofmt)); |
| writer.writeFrameToHDFS(fb, fname, rows, cols); |
| } |
| |
| private static double[][] readMatrixOutput(String fname, String ofmt, int rows, int cols) |
| throws IOException |
| { |
| MatrixReader reader = MatrixReaderFactory.createMatrixReader(FileFormat.safeValueOf(ofmt)); |
| MatrixBlock mb = reader.readMatrixFromHDFS(fname, rows, cols, 1000, -1); |
| return DataConverter.convertToDoubleMatrix(mb); |
| } |
| } |