| /* |
| * 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.aggregate; |
| |
| import org.junit.Test; |
| import org.junit.runner.RunWith; |
| import org.junit.runners.Parameterized; |
| import org.junit.runners.Parameterized.Parameters; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.common.Types.ExecMode; |
| import org.apache.sysds.lops.LopProperties; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.test.TestConfiguration; |
| |
| import java.util.Arrays; |
| import java.util.Collection; |
| |
| @RunWith(value = Parameterized.class) |
| @net.jcip.annotations.NotThreadSafe |
| public class TensorSumTest extends AutomatedTestBase |
| { |
| private final static String TEST_DIR = "functions/aggregate/"; |
| private final static String TEST_NAME = "TensorSum"; |
| private final static String TEST_CLASS_DIR = TEST_DIR + TensorSumTest.class.getSimpleName() + "/"; |
| |
| private String value; |
| private int[] dimensions; |
| |
| public TensorSumTest(int[] dims, String v) { |
| dimensions = dims; |
| value = v; |
| } |
| |
| @Parameters |
| public static Collection<Object[]> data() { |
| Object[][] data = new Object[][] { |
| {new int[]{3, 4, 5}, "3"}, |
| {new int[]{1, 1}, "8"}, |
| {new int[]{7, 1, 1}, "0.5"}, |
| {new int[]{10, 2, 4}, "1"}, |
| {new int[]{1003, 5, 50, 10}, "3"}, |
| {new int[]{10000, 2}, "8"}, |
| {new int[]{1020, 1, 30}, "0.5"}, |
| {new int[]{1, 1, 1, 2, 1, 1, 1000}, "1"}, |
| }; |
| return Arrays.asList(data); |
| } |
| |
| @Override |
| public void setUp() { |
| addTestConfiguration(TEST_NAME,new TestConfiguration(TEST_CLASS_DIR, TEST_NAME,new String[]{"A.scalar"})); |
| } |
| |
| @Test |
| public void tensorSumTestCP() { |
| testTensorSum(TEST_NAME, LopProperties.ExecType.CP); |
| } |
| |
| // Sp instructions not supported for tensors. |
| // TODO: make support for spark |
| // @Test |
| // public void tensorSumTestSpark() { |
| // testTensorSum(TEST_NAME, LopProperties.ExecType.SPARK); |
| // } |
| |
| private void testTensorSum(String testName, LopProperties.ExecType platform) { |
| ExecMode platformOld = rtplatform; |
| if (platform == LopProperties.ExecType.SPARK) { |
| rtplatform = ExecMode.SPARK; |
| } |
| else { |
| rtplatform = ExecMode.SINGLE_NODE; |
| } |
| |
| boolean sparkConfigOld = DMLScript.USE_LOCAL_SPARK_CONFIG; |
| if (rtplatform == ExecMode.SPARK) { |
| DMLScript.USE_LOCAL_SPARK_CONFIG = true; |
| } |
| try { |
| getAndLoadTestConfiguration(TEST_NAME); |
| |
| String HOME = SCRIPT_DIR + TEST_DIR; |
| |
| fullDMLScriptName = HOME + TEST_NAME + ".dml"; |
| String dimensionsString = Arrays.toString(dimensions).replace("[", "") |
| .replace(",", "").replace("]", ""); |
| programArgs = new String[]{"-explain", "-args", |
| value, dimensionsString, output("A")}; |
| |
| try { |
| writeExpectedScalar("A", Arrays.stream(dimensions).reduce(1, (a, b) -> a * b) * Long.parseLong(value)); |
| } |
| catch (NumberFormatException e) { |
| writeExpectedScalar("A", Arrays.stream(dimensions).reduce(1, (a, b) -> a * b) * Double.parseDouble(value)); |
| } |
| |
| runTest(true, false, null, -1); |
| |
| compareResults(); |
| } |
| finally { |
| rtplatform = platformOld; |
| DMLScript.USE_LOCAL_SPARK_CONFIG = sparkConfigOld; |
| } |
| } |
| } |