/* * 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.LopProperties.ExecLocation; import org.apache.sysml.lops.LopProperties.ExecType; import org.apache.sysml.lops.Unary.OperationTypes; import org.apache.sysml.lops.compile.JobType; import org.apache.sysml.parser.Expression.DataType; import org.apache.sysml.parser.Expression.ValueType; public class WeightedUnaryMM extends Lop { public static final String OPCODE = "mapwumm"; public static final String OPCODE_CP = "wumm"; public enum WUMMType { MULT, DIV, } private WUMMType _wummType = null; private OperationTypes _uop = null; private int _numThreads = 1; public WeightedUnaryMM(Lop input1, Lop input2, Lop input3, DataType dt, ValueType vt, WUMMType wt, OperationTypes op, ExecType et) throws LopsException { super(Lop.Type.WeightedUMM, dt, vt); addInput(input1); //X addInput(input2); //U addInput(input3); //V input1.addOutput(this); input2.addOutput(this); input3.addOutput(this); //setup mapmult parameters _wummType = wt; _uop = op; setupLopProperties(et); } private void setupLopProperties( ExecType et ) { 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, ExecType.MR, ExecLocation.Map, 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 "Operation = WeightedUMM"; } @Override public String getInstructions(int input1, int input2, int input3, int output) throws LopsException { return getInstructions( String.valueOf(input1), String.valueOf(input2), String.valueOf(input3), String.valueOf(output)); } @Override public String getInstructions(String input1, String input2, String input3, String output) throws LopsException { StringBuilder sb = new StringBuilder(); sb.append(getExecType()); sb.append(Lop.OPERAND_DELIMITOR); if( getExecType() == ExecType.CP ) sb.append(OPCODE_CP); else sb.append(OPCODE); sb.append(Lop.OPERAND_DELIMITOR); sb.append(Unary.getOpcode(_uop)); sb.append(Lop.OPERAND_DELIMITOR); sb.append( getInputs().get(0).prepInputOperand(input1)); sb.append(Lop.OPERAND_DELIMITOR); sb.append( getInputs().get(1).prepInputOperand(input2)); sb.append(Lop.OPERAND_DELIMITOR); sb.append( getInputs().get(2).prepInputOperand(input3)); sb.append(Lop.OPERAND_DELIMITOR); sb.append( prepOutputOperand(output)); sb.append(Lop.OPERAND_DELIMITOR); sb.append(_wummType); //append degree of parallelism if( getExecType()==ExecType.CP ) { sb.append( OPERAND_DELIMITOR ); sb.append( _numThreads ); } return sb.toString(); } @Override public boolean usesDistributedCache() { return (getExecType()==ExecType.MR); } @Override public int[] distributedCacheInputIndex() { return (getExecType()==ExecType.MR) ? new int[]{2,3} : new int[]{-1}; } public void setNumThreads(int k) { _numThreads = k; } }