| /* |
| * 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.codegen; |
| |
| import static org.apache.sysds.api.mlcontext.ScriptFactory.dml; |
| |
| import org.apache.spark.SparkConf; |
| import org.apache.spark.api.java.JavaSparkContext; |
| import org.junit.After; |
| import org.junit.Assert; |
| import org.junit.Test; |
| import org.apache.sysds.api.DMLScript; |
| import org.apache.sysds.api.jmlc.Connection; |
| import org.apache.sysds.api.jmlc.PreparedScript; |
| import org.apache.sysds.api.mlcontext.MLContext; |
| import org.apache.sysds.api.mlcontext.Script; |
| import org.apache.sysds.conf.DMLConfig; |
| import org.apache.sysds.conf.CompilerConfig.ConfigType; |
| import org.apache.sysds.runtime.controlprogram.context.SparkExecutionContext; |
| import org.apache.sysds.runtime.matrix.data.MatrixBlock; |
| import org.apache.sysds.runtime.util.DataConverter; |
| import org.apache.sysds.test.AutomatedTestBase; |
| import org.apache.sysds.utils.Statistics; |
| |
| |
| public class APICodegenTest extends AutomatedTestBase |
| { |
| protected final static String TEST_DIR = "org/apache/sysds/api/mlcontext"; |
| protected final static String TEST_NAME = "MLContext"; |
| |
| private final static int rows = 100; |
| private final static int cols = 1600; |
| private final static double sparsity = 0.7; |
| |
| @Override |
| public void setUp() { |
| addTestConfiguration(TEST_DIR, TEST_NAME); |
| getAndLoadTestConfiguration(TEST_NAME); |
| } |
| |
| @Test |
| public void testCodegenMLContext() { |
| runMLContextParforDatasetTest(false); |
| } |
| |
| @Test |
| public void testCodegenJMLCTest() { |
| runMLContextParforDatasetTest(true); |
| } |
| |
| @SuppressWarnings("resource") |
| private void runMLContextParforDatasetTest(boolean jmlc) |
| { |
| try { |
| double[][] X = getRandomMatrix(rows, cols, -10, 10, sparsity, 76543); |
| MatrixBlock mX = DataConverter.convertToMatrixBlock(X); |
| |
| String s = "X = read(\"/tmp\");" |
| + "R = colSums(X/rowSums(X));" |
| + "write(R, \"tmp2\")"; |
| |
| //execute scripts |
| if( jmlc ) { |
| DMLScript.STATISTICS = true; |
| Connection conn = new Connection(ConfigType.CODEGEN_ENABLED, |
| ConfigType.ALLOW_DYN_RECOMPILATION); |
| PreparedScript pscript = conn.prepareScript( |
| s, new String[]{"X"}, new String[]{"R"}); |
| pscript.setMatrix("X", mX, false); |
| pscript.executeScript(); |
| conn.close(); |
| System.out.println(Statistics.display()); |
| } |
| else { |
| SparkConf conf = SparkExecutionContext.createSystemDSSparkConf() |
| .setAppName("MLContextTest").setMaster("local"); |
| JavaSparkContext sc = new JavaSparkContext(conf); |
| MLContext ml = new MLContext(sc); |
| ml.setConfigProperty(DMLConfig.CODEGEN, "true"); |
| ml.setStatistics(true); |
| Script script = dml(s).in("X", mX).out("R"); |
| ml.execute(script); |
| ml.resetConfig(); |
| sc.stop(); |
| ml.close(); |
| } |
| |
| //check for generated operator |
| Assert.assertTrue(heavyHittersContainsSubString("spoofRA")); |
| } |
| catch(Exception ex) { |
| throw new RuntimeException(ex); |
| } |
| } |
| |
| @After |
| @Override |
| public void tearDown() { |
| super.tearDown(); |
| } |
| } |