/* * 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.sysml.lops; import org.apache.sysml.lops.Aggregate.OperationTypes; import org.apache.sysml.lops.LopProperties.ExecLocation; import org.apache.sysml.lops.LopProperties.ExecType; import org.apache.sysml.lops.compile.JobType; import org.apache.sysml.parser.Expression.*; public class CumulativeOffsetBinary extends Lop { private OperationTypes _op; private double _initValue = 0; public CumulativeOffsetBinary(Lop data, Lop offsets, DataType dt, ValueType vt, OperationTypes op, ExecType et) throws LopsException { super(Lop.Type.CumulativeOffsetBinary, dt, vt); checkSupportedOperations(op); _op = op; init(data, offsets, dt, vt, et); } public CumulativeOffsetBinary(Lop data, Lop offsets, DataType dt, ValueType vt, double init, OperationTypes op, ExecType et) throws LopsException { super(Lop.Type.CumulativeOffsetBinary, dt, vt); checkSupportedOperations(op); _op = op; //in case of Spark, CumulativeOffset includes CumulativeSplit and hence needs the init value _initValue = init; init(data, offsets, dt, vt, et); } private void init(Lop input1, Lop input2, DataType dt, ValueType vt, ExecType et) { this.addInput(input1); this.addInput(input2); input1.addOutput(this); input2.addOutput(this); if( et == ExecType.MR ) { //setup MR parameters boolean breaksAlignment = true; boolean aligner = false; boolean definesMRJob = false; lps.addCompatibility(JobType.GMR); lps.addCompatibility(JobType.DATAGEN); lps.setProperties(inputs, et, ExecLocation.Reduce, breaksAlignment, aligner, definesMRJob); } else //Spark/CP { //setup Spark parameters boolean breaksAlignment = false; boolean aligner = false; boolean definesMRJob = false; lps.addCompatibility(JobType.INVALID); lps.setProperties( inputs, et, ExecLocation.ControlProgram, breaksAlignment, aligner, definesMRJob ); } } public String toString() { return "CumulativeOffsetBinary"; } private void checkSupportedOperations(OperationTypes op) throws LopsException { //sanity check for supported aggregates if( !(op == OperationTypes.KahanSum || op == OperationTypes.Product || op == OperationTypes.Min || op == OperationTypes.Max) ) { throw new LopsException("Unsupported aggregate operation type: "+op); } } private String getOpcode() { switch( _op ) { case KahanSum: return "bcumoffk+"; case Product: return "bcumoff*"; case Min: return "bcumoffmin"; case Max: return "bcumoffmax"; default: return null; } } @Override public String getInstructions(int input_index1, int input_index2, int output_index) { return getInstructions(String.valueOf(input_index1), String.valueOf(input_index2), String.valueOf(output_index)); } @Override public String getInstructions(String input1, String input2, String output) { StringBuilder sb = new StringBuilder(); sb.append( getExecType() ); sb.append( OPERAND_DELIMITOR ); sb.append( getOpcode() ); sb.append( OPERAND_DELIMITOR ); sb.append( getInputs().get(0).prepInputOperand(input1) ); sb.append( OPERAND_DELIMITOR ); sb.append( getInputs().get(1).prepInputOperand(input2) ); sb.append( OPERAND_DELIMITOR ); sb.append( this.prepOutputOperand(output) ); if( getExecType() == ExecType.SPARK ) { sb.append( OPERAND_DELIMITOR ); sb.append( _initValue ); } return sb.toString(); } }