blob: 875667b726a9b78c8c9d85b2c24808445d2f38f9 [file] [log] [blame]
/*
* 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.component.matrix;
import static org.junit.Assert.fail;
import java.util.ArrayList;
import java.util.Collection;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.sysds.runtime.matrix.data.LibMatrixReorg;
import org.apache.sysds.runtime.matrix.data.MatrixBlock;
import org.apache.sysds.runtime.util.DataConverter;
import org.apache.sysds.test.TestUtils;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.junit.runners.Parameterized.Parameters;
@RunWith(value = Parameterized.class)
@net.jcip.annotations.NotThreadSafe
public class TransposeCSRTest {
protected static final Log LOG = LogFactory.getLog(TransposeCSRTest.class.getName());
long old = LibMatrixReorg.PAR_NUMCELL_THRESHOLD;
@Parameters
public static Collection<Object[]> data() {
ArrayList<Object[]> tests = new ArrayList<>();
tests.add(
new Object[] {DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(1, 1, 0.5, 1.5, 1.0, 6)), 1});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(10, 10, 0.5, 1.5, 0.1, 6)), 1});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(200, 8, 0.5, 1.5, 0.1, 6)), 8});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(200, 16, 0.5, 1.5, 0.1, 6)), 16});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(200, 16, 0.5, 1.5, 0.1, 6)), 16});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(200, 31, 0.5, 1.5, 0.1, 6)), 16});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(200, 7, 0.5, 1.5, 0.01, 6)), 3});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(200, 15, 0.5, 1.5, 0.01, 6)), 3});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(1000, 15, 0.5, 1.5, 0.01, 6)), 3});
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(13, 1444, 0.5, 1.5, 0.01, 6)), 3});
// pass the threshold
tests.add(new Object[] {
DataConverter.convertToMatrixBlock(TestUtils.generateTestMatrix(4100, 4100, 0.5, 1.5, 0.01, 6)), 3});
return tests;
}
@Parameterized.Parameter
public MatrixBlock in;
@Parameterized.Parameter(1)
public int k;
@Test
public void testEstimation() {
try {
LibMatrixReorg.PAR_NUMCELL_THRESHOLD = 100;
MatrixBlock ret1 = LibMatrixReorg.transpose(in,
new MatrixBlock(in.getNumColumns(), in.getNumRows(), in.isInSparseFormat()), k, false);
MatrixBlock ret2 = LibMatrixReorg.transpose(in,
new MatrixBlock(in.getNumColumns(), in.getNumRows(), in.isInSparseFormat()), k, true);
double[][] d1 = DataConverter.convertToDoubleMatrix(ret1);
double[][] d2 = DataConverter.convertToDoubleMatrix(ret2);
TestUtils.compareMatricesBitAvgDistance(d1, d2, 0, 0, "Not equal transpose result");
}
catch(Exception e) {
e.printStackTrace();
fail("Failed in transposition");
}
finally {
LibMatrixReorg.PAR_NUMCELL_THRESHOLD = old;
}
}
}