blob: e8ec62a9f532f6ee1df0db44671cbb72a1618055 [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.functions.builtin;
import org.junit.Test;
import org.apache.sysds.common.Types.ExecMode;
import org.apache.sysds.lops.LopProperties.ExecType;
import org.apache.sysds.runtime.matrix.data.MatrixValue;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;
import java.util.HashMap;
public class BuiltinImageCropTest extends AutomatedTestBase
{
private final static String TEST_NAME = "image_crop";
private final static String TEST_DIR = "functions/builtin/";
private final static String TEST_CLASS_DIR = TEST_DIR + BuiltinImageCropTest.class.getSimpleName() + "/";
private final static double eps = 1e-10;
private final static int rows = 512;
private final static int cols = 512;
private final static double spSparse = 0.1;
private final static double spDense = 0.9;
private final static int x_offset = 12;
private final static int y_offset = 24;
private final static float size = 0.8f;
@Override
public void setUp() {
addTestConfiguration(TEST_NAME,new TestConfiguration(TEST_CLASS_DIR, TEST_NAME,new String[]{"B"}));
}
@Test
public void testImageCropMatrixDenseCP() {runImageCropTest(false, ExecType.CP);
}
@Test
public void testImageCropMatrixSparseCP() {runImageCropTest(true, ExecType.CP);
}
@Test
public void testImageCropMatrixDenseSP() {runImageCropTest(false, ExecType.SPARK);
}
@Test
public void testImageCropMatrixSparseSP() {runImageCropTest(false,ExecType.SPARK);
}
private void runImageCropTest(boolean sparse, ExecType instType)
{
ExecMode platformOld = setExecMode(instType);
disableOutAndExpectedDeletion();
try
{
loadTestConfiguration(getTestConfiguration(TEST_NAME));
double sparsity = sparse ? spSparse : spDense;
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[]{"-nvargs",
"in_file=" + input("A"), "out_file=" + output("B"),
"size=" + size, "x_offset=" + x_offset, "y_offset=" + y_offset, "width=" + cols, "height=" + rows
};
fullRScriptName = HOME + TEST_NAME + ".R";
rCmd = "Rscript" + " " + fullRScriptName + " " + inputDir() + " " + expectedDir()
+ " " + size + " " + cols + " " + rows + " " + x_offset + " " + y_offset;
//generate actual dataset
double[][] A = getRandomMatrix(rows, cols, 0, 255, sparsity, 7);
writeInputMatrixWithMTD("A", A, true);
runTest(true, false, null, -1);
runRScript(true);
//compare matrices
HashMap<MatrixValue.CellIndex, Double> dmlfile = readDMLMatrixFromOutputDir("B");
HashMap<MatrixValue.CellIndex, Double> rfile = readRMatrixFromExpectedDir("B");
TestUtils.compareMatrices(dmlfile, rfile, eps, "Stat-DML", "Stat-R");
}
finally {
rtplatform = platformOld;
}
}
}