| /* |
| * 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.federated; |
| |
| import org.junit.Test; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.Parameterized; |
| 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 java.util.Arrays; |
| import java.util.Collection; |
| |
| @RunWith(value = Parameterized.class) |
| @net.jcip.annotations.NotThreadSafe |
| public class FederatedSumTest extends AutomatedTestBase { |
| |
| private final static String TEST_DIR = "functions/federated/"; |
| private final static String TEST_NAME = "FederatedSumTest"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + FederatedSumTest.class.getSimpleName() + "/"; |
| |
| private final static int blocksize = 1024; |
| @Parameterized.Parameter() |
| public int rows; |
| @Parameterized.Parameter(1) |
| public int cols; |
| |
| @Parameterized.Parameters |
| public static Collection<Object[]> data() { |
| return Arrays.asList(new Object[][] {{2, 1000}, {10, 100}, {100, 10}, {1000, 1}, {10, 2000}, {2000, 10}}); |
| } |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME, |
| new TestConfiguration(TEST_CLASS_DIR, TEST_NAME, new String[] {"S.scalar", "R", "C"})); |
| } |
| |
| @Test |
| public void federatedSumCP() { |
| federatedSum(Types.ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void federatedSumSP() { |
| federatedSum(Types.ExecMode.SPARK); |
| } |
| |
| public void federatedSum(Types.ExecMode execMode) { |
| boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG; |
| Types.ExecMode platformOld = rtplatform; |
| |
| getAndLoadTestConfiguration(TEST_NAME); |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| |
| double[][] A = getRandomMatrix(rows / 2, cols, -10, 10, 1, 1); |
| writeInputMatrixWithMTD("A", A, false, new MatrixCharacteristics(rows / 2, cols, blocksize, (rows / 2) * cols)); |
| int port = getRandomAvailablePort(); |
| Thread t = startLocalFedWorker(port); |
| |
| // we need the reference file to not be written to hdfs, so we get the correct format |
| rtplatform = Types.ExecMode.SINGLE_NODE; |
| // Run reference dml script with normal matrix for Row/Col sum |
| fullDMLScriptName = HOME + TEST_NAME + "Reference.dml"; |
| programArgs = new String[] {"-args", input("A"), input("A"), expected("R"), expected("C")}; |
| runTest(true, false, null, -1); |
| |
| // write expected sum |
| double sum = 0; |
| for(double[] doubles : A) { |
| sum += Arrays.stream(doubles).sum(); |
| } |
| sum *= 2; |
| writeExpectedScalar("S", sum); |
| |
| // reference file should not be written to hdfs, so we set platform here |
| rtplatform = execMode; |
| if(rtplatform == Types.ExecMode.SPARK) { |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| } |
| TestConfiguration config = availableTestConfigurations.get(TEST_NAME); |
| loadTestConfiguration(config); |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[] {"-nvargs", "in=" + TestUtils.federatedAddress(port, input("A")), "rows=" + rows, |
| "cols=" + cols, "out_S=" + output("S"), "out_R=" + output("R"), "out_C=" + output("C")}; |
| |
| runTest(true, false, null, -1); |
| |
| // compare all sums via files |
| compareResults(1e-11); |
| |
| TestUtils.shutdownThread(t); |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |