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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.builtin;
import org.apache.sysds.common.Types.ExecMode;
import org.apache.sysds.lops.LopProperties.ExecType;
import org.apache.sysds.test.AutomatedTestBase;
import org.apache.sysds.test.TestConfiguration;
import org.apache.sysds.test.TestUtils;
import org.junit.Assert;
import org.junit.Test;
public class BuiltinHyperbandTest extends AutomatedTestBase
{
private final static String TEST_NAME = "HyperbandLM";
private final static String TEST_DIR = "functions/builtin/";
private final static String TEST_CLASS_DIR = TEST_DIR + BuiltinHyperbandTest.class.getSimpleName() + "/";
private final static int rows = 300;
private final static int cols = 20;
@Override
public void setUp() {
addTestConfiguration(TEST_NAME,new TestConfiguration(TEST_CLASS_DIR, TEST_NAME,new String[]{"R"}));
}
@Test
public void testHyperbandCP() {
runHyperband(ExecType.CP);
}
@Test
public void testHyperbandSpark() {
runHyperband(ExecType.SPARK);
}
private void runHyperband(ExecType et) {
ExecMode modeOld = setExecMode(et);
try {
loadTestConfiguration(getTestConfiguration(TEST_NAME));
String HOME = SCRIPT_DIR + TEST_DIR;
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[] {"-stats","-args", input("X"), input("y"), output("R")};
double[][] X = getRandomMatrix(rows, cols, 0, 1, 0.8, 3);
double[][] y = getRandomMatrix(rows, 1, 0, 1, 0.8, 7);
writeInputMatrixWithMTD("X", X, true);
writeInputMatrixWithMTD("y", y, true);
runTest(true, EXCEPTION_NOT_EXPECTED, null, -1);
//expected loss smaller than default invocation
Assert.assertTrue(TestUtils.readDMLBoolean(output("R")));
}
finally {
resetExecMode(modeOld);
}
}
}