| /* |
| * 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.WeightedCrossEntropy.WCeMMType; |
| import org.apache.sysml.lops.compile.JobType; |
| import org.apache.sysml.parser.Expression.DataType; |
| import org.apache.sysml.parser.Expression.ValueType; |
| |
| /** |
| * |
| */ |
| public class WeightedCrossEntropyR extends Lop |
| { |
| |
| public static final String OPCODE = "redwcemm"; |
| |
| private WCeMMType _wcemmType = null; |
| |
| private boolean _cacheU = false; |
| private boolean _cacheV = false; |
| |
| public WeightedCrossEntropyR(Lop input1, Lop input2, Lop input3, Lop input4, DataType dt, ValueType vt, WCeMMType wt, boolean cacheU, boolean cacheV, ExecType et) |
| throws LopsException |
| { |
| super(Lop.Type.WeightedCeMM, dt, vt); |
| addInput(input1); //X |
| addInput(input2); //U |
| addInput(input3); //V |
| addInput(input4); //optional |
| input1.addOutput(this); |
| input2.addOutput(this); |
| input3.addOutput(this); |
| input4.addOutput(this); |
| |
| //setup mapmult parameters |
| _wcemmType = wt; |
| _cacheU = cacheU; |
| _cacheV = cacheV; |
| setupLopProperties(et); |
| } |
| |
| /** |
| * |
| * @param et |
| * @throws LopsException |
| */ |
| private void setupLopProperties( ExecType et ) |
| throws LopsException |
| { |
| 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.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 "Operation = WeightedCrossEntropyR"; |
| } |
| |
| @Override |
| public String getInstructions(int input1, int input2, int input3, int input4, int output) |
| { |
| return getInstructions( |
| String.valueOf(input1), |
| String.valueOf(input2), |
| String.valueOf(input3), |
| String.valueOf(input4), |
| String.valueOf(output)); |
| } |
| |
| @Override |
| public String getInstructions(String input1, String input2, String input3, String input4, String output) |
| { |
| StringBuilder sb = new StringBuilder(); |
| |
| final ExecType et = getExecType(); |
| |
| sb.append(et); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append(OPCODE); |
| |
| 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); |
| if ( (et == ExecType.MR) && (getInputs().get(3).getDataType() == DataType.SCALAR) ) { |
| sb.append( getInputs().get(3).prepScalarInputOperand(et)); |
| } |
| else { |
| sb.append( getInputs().get(3).prepInputOperand(input4)); |
| } |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append( prepOutputOperand(output)); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append(_wcemmType); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append(_cacheU); |
| |
| sb.append(Lop.OPERAND_DELIMITOR); |
| sb.append(_cacheV); |
| |
| return sb.toString(); |
| } |
| |
| @Override |
| public boolean usesDistributedCache() |
| { |
| if( _cacheU || _cacheV ) |
| return true; |
| else |
| return false; |
| } |
| |
| @Override |
| public int[] distributedCacheInputIndex() |
| { |
| if( !_cacheU && !_cacheV ) |
| return new int[]{-1}; |
| else if( _cacheU && !_cacheV ) |
| return new int[]{2}; |
| else if( !_cacheU && _cacheV ) |
| return new int[]{3}; |
| else |
| return new int[]{2,3}; |
| } |
| } |