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* to you under the Apache License, Version 2.0 (the
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*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.sysds.test.functions.federated.primitives;
import java.util.Arrays;
import java.util.Collection;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.sysds.api.DMLScript;
import org.apache.sysds.common.Types;
import org.apache.sysds.runtime.meta.MatrixCharacteristics;
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.Ignore;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
@RunWith(value = Parameterized.class)
@net.jcip.annotations.NotThreadSafe
public class FederetedCastToFrameTest extends AutomatedTestBase {
private static final Log LOG = LogFactory.getLog(FederetedCastToFrameTest.class.getName());
private final static String TEST_DIR = "functions/federated/primitives/";
private final static String TEST_NAME = "FederatedCastToFrameTest";
private final static String TEST_CLASS_DIR = TEST_DIR + FederetedCastToFrameTest.class.getSimpleName() + "/";
private final static int blocksize = 1024;
@Parameterized.Parameter()
public int rows;
@Parameterized.Parameter(1)
public int cols;
@Override
public void setUp() {
TestUtils.clearAssertionInformation();
addTestConfiguration(TEST_NAME, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME));
}
@Parameterized.Parameters
public static Collection<Object[]> data() {
// rows have to be even and > 1
return Arrays.asList(new Object[][] {{10, 32}});
}
@Test
public void federatedMultiplyCP() {
federatedMultiply(Types.ExecMode.SINGLE_NODE);
}
@Test
@Ignore
public void federatedMultiplySP() {
// TODO Fix me Spark execution error
federatedMultiply(Types.ExecMode.SPARK);
}
public void federatedMultiply(Types.ExecMode execMode) {
boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG;
Types.ExecMode platformOld = rtplatform;
rtplatform = execMode;
if(rtplatform == Types.ExecMode.SPARK) {
DMLScript.USE_LOCAL_SPARK_CONFIG = true;
}
getAndLoadTestConfiguration(TEST_NAME);
String HOME = SCRIPT_DIR + TEST_DIR;
// write input matrices
int halfRows = rows / 2;
// We have two matrices handled by a single federated worker
double[][] X1 = getRandomMatrix(halfRows, cols, 0, 1, 1, 42);
double[][] X2 = getRandomMatrix(halfRows, cols, 0, 1, 1, 1340);
writeInputMatrixWithMTD("X1", X1, false, new MatrixCharacteristics(halfRows, cols, blocksize, halfRows * cols));
writeInputMatrixWithMTD("X2", X2, false, new MatrixCharacteristics(halfRows, cols, blocksize, halfRows * cols));
int port1 = getRandomAvailablePort();
int port2 = getRandomAvailablePort();
Thread t1 = startLocalFedWorkerThread(port1);
Thread t2 = startLocalFedWorkerThread(port2);
TestConfiguration config = availableTestConfigurations.get(TEST_NAME);
loadTestConfiguration(config);
// Run reference dml script with normal matrix
fullDMLScriptName = HOME + TEST_NAME + "Reference.dml";
programArgs = new String[] {"-nvargs", "X1=" + input("X1"), "X2=" + input("X2")};
String out = runTest(null).toString().split("SystemDS Statistics:")[0];
// Run actual dml script with federated matrix
fullDMLScriptName = HOME + TEST_NAME + ".dml";
programArgs = new String[] {"-stats", "100", "-nvargs", "X1=" + TestUtils.federatedAddress(port1, input("X1")),
"X2=" + TestUtils.federatedAddress(port2, input("X2")), "r=" + rows, "c=" + cols};
String fedOut = runTest(null).toString();
LOG.debug(fedOut);
fedOut = fedOut.split("SystemDS Statistics:")[0];
Assert.assertTrue("Equal Printed Output", out.equals(fedOut));
Assert.assertTrue("Contains federated Cast to frame", heavyHittersContainsString("fed_castdtf"));
TestUtils.shutdownThreads(t1, t2);
rtplatform = platformOld;
DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld;
}
}