| /* |
| * 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.primitives; |
| |
| import java.util.Arrays; |
| import java.util.Collection; |
| |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.runtime.meta.MatrixCharacteristics; |
| import org.apache.sysds.runtime.util.HDFSTool; |
| 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; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.Parameterized; |
| |
| @RunWith(value = Parameterized.class) |
| @net.jcip.annotations.NotThreadSafe |
| public class FederatedColAggregateTest extends AutomatedTestBase { |
| private final static String TEST_NAME1 = "FederatedColSumTest"; |
| private final static String TEST_NAME2 = "FederatedColMeanTest"; |
| private final static String TEST_NAME3 = "FederatedColMaxTest"; |
| private final static String TEST_NAME4 = "FederatedColMinTest"; |
| private final static String TEST_NAME10 = "FederatedColVarTest"; |
| |
| private final static String TEST_DIR = "functions/federated/aggregate/"; |
| private static final String TEST_CLASS_DIR = TEST_DIR + FederatedColAggregateTest.class.getSimpleName() + "/"; |
| |
| private final static int blocksize = 1024; |
| @Parameterized.Parameter() |
| public int rows; |
| @Parameterized.Parameter(1) |
| public int cols; |
| @Parameterized.Parameter(2) |
| public boolean rowPartitioned; |
| |
| @Parameterized.Parameters |
| public static Collection<Object[]> data() { |
| return Arrays.asList( |
| new Object[][] { |
| {10, 1000, false}, |
| {1000, 40, true}, |
| }); |
| } |
| |
| private enum OpType { |
| SUM, MEAN, MAX, MIN, VAR |
| } |
| |
| @Override |
| public void setUp() { |
| TestUtils.clearAssertionInformation(); |
| addTestConfiguration(TEST_NAME1, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME1, new String[] {"S"})); |
| addTestConfiguration(TEST_NAME2, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME2, new String[] {"S"})); |
| addTestConfiguration(TEST_NAME3, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME3, new String[] {"S"})); |
| addTestConfiguration(TEST_NAME4, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME4, new String[] {"S"})); |
| addTestConfiguration(TEST_NAME10, new TestConfiguration(TEST_CLASS_DIR, TEST_NAME10, new String[] {"S"})); |
| } |
| |
| @Test |
| public void testColSumDenseMatrixCP() { |
| runAggregateOperationTest(OpType.SUM, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testColMeanDenseMatrixCP() { |
| runAggregateOperationTest(OpType.MEAN, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testColMaxDenseMatrixCP() { |
| runAggregateOperationTest(OpType.MAX, ExecMode.SINGLE_NODE); |
| } |
| |
| |
| @Test |
| public void testColMinDenseMatrixCP() { |
| runAggregateOperationTest(OpType.MIN, ExecMode.SINGLE_NODE); |
| } |
| |
| @Test |
| public void testColVarDenseMatrixCP() { |
| runAggregateOperationTest(OpType.VAR, ExecMode.SINGLE_NODE); |
| } |
| |
| private void runAggregateOperationTest(OpType type, ExecMode execMode) { |
| boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG; |
| ExecMode platformOld = rtplatform; |
| |
| if(rtplatform == ExecMode.SPARK) |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| |
| String TEST_NAME = null; |
| switch(type) { |
| case SUM: |
| TEST_NAME = TEST_NAME1; |
| break; |
| case MEAN: |
| TEST_NAME = TEST_NAME2; |
| break; |
| case MAX: |
| TEST_NAME = TEST_NAME3; |
| break; |
| case MIN: |
| TEST_NAME = TEST_NAME4; |
| break; |
| case VAR: |
| TEST_NAME = TEST_NAME10; |
| break; |
| } |
| |
| getAndLoadTestConfiguration(TEST_NAME); |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| |
| // write input matrices |
| int r = rows; |
| int c = cols / 4; |
| if(rowPartitioned) { |
| r = rows / 4; |
| c = cols; |
| } |
| |
| double[][] X1 = getRandomMatrix(r, c, 1, 3, 1, 3); |
| double[][] X2 = getRandomMatrix(r, c, 1, 3, 1, 7); |
| double[][] X3 = getRandomMatrix(r, c, 1, 3, 1, 8); |
| double[][] X4 = getRandomMatrix(r, c, 1, 3, 1, 9); |
| |
| MatrixCharacteristics mc = new MatrixCharacteristics(r, c, blocksize, r * c); |
| writeInputMatrixWithMTD("X1", X1, false, mc); |
| writeInputMatrixWithMTD("X2", X2, false, mc); |
| writeInputMatrixWithMTD("X3", X3, false, mc); |
| writeInputMatrixWithMTD("X4", X4, false, mc); |
| |
| // empty script name because we don't execute any script, just start the worker |
| fullDMLScriptName = ""; |
| int port1 = getRandomAvailablePort(); |
| int port2 = getRandomAvailablePort(); |
| int port3 = getRandomAvailablePort(); |
| int port4 = getRandomAvailablePort(); |
| Thread t1 = startLocalFedWorkerThread(port1, 10); |
| Thread t2 = startLocalFedWorkerThread(port2, 10); |
| Thread t3 = startLocalFedWorkerThread(port3, 10); |
| Thread t4 = startLocalFedWorkerThread(port4); |
| |
| rtplatform = execMode; |
| if(rtplatform == ExecMode.SPARK) { |
| System.out.println(7); |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| } |
| TestConfiguration config = availableTestConfigurations.get(TEST_NAME); |
| loadTestConfiguration(config); |
| |
| // Run reference dml script with normal matrix |
| fullDMLScriptName = HOME + TEST_NAME + "Reference.dml"; |
| programArgs = new String[] {"-stats", "100", "-args", input("X1"), input("X2"), input("X3"), input("X4"), |
| expected("S"), Boolean.toString(rowPartitioned).toUpperCase()}; |
| runTest(true, false, null, -1); |
| |
| // Run actual dml script with federated matrix |
| |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| programArgs = new String[] {"-stats", "100", "-nvargs", |
| "in_X1=" + TestUtils.federatedAddress(port1, input("X1")), |
| "in_X2=" + TestUtils.federatedAddress(port2, input("X2")), |
| "in_X3=" + TestUtils.federatedAddress(port3, input("X3")), |
| "in_X4=" + TestUtils.federatedAddress(port4, input("X4")), "rows=" + rows, "cols=" + cols, |
| "rP=" + Boolean.toString(rowPartitioned).toUpperCase(), "out_S=" + output("S")}; |
| |
| runTest(true, false, null, -1); |
| |
| // compare via files |
| compareResults(type == FederatedColAggregateTest.OpType.VAR ? 1e-2 : 1e-9); |
| |
| String fedInst = "fed_uac"; |
| |
| switch(type) { |
| case SUM: |
| Assert.assertTrue(heavyHittersContainsString(fedInst.concat("k+"))); |
| break; |
| case MEAN: |
| Assert.assertTrue(heavyHittersContainsString(fedInst.concat("mean"))); |
| break; |
| case MAX: |
| Assert.assertTrue(heavyHittersContainsString(fedInst.concat("max"))); |
| break; |
| case MIN: |
| Assert.assertTrue(heavyHittersContainsString(fedInst.concat("min"))); |
| break; |
| case VAR: |
| Assert.assertTrue(heavyHittersContainsString(fedInst.concat("var"))); |
| break; |
| } |
| |
| // check that federated input files are still existing |
| Assert.assertTrue(HDFSTool.existsFileOnHDFS(input("X1"))); |
| Assert.assertTrue(HDFSTool.existsFileOnHDFS(input("X2"))); |
| Assert.assertTrue(HDFSTool.existsFileOnHDFS(input("X3"))); |
| Assert.assertTrue(HDFSTool.existsFileOnHDFS(input("X4"))); |
| |
| TestUtils.shutdownThreads(t1, t2, t3, t4); |
| |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| |
| } |
| } |