| /* |
| * 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.compile.JobType; |
| import org.apache.sysml.parser.Expression.*; |
| |
| |
| /** |
| * Lop to perform transpose-identity operation (t(X)%*%X or X%*%t(X)), |
| * used to represent CP and MR instruction but in case of MR there is |
| * an additional Aggregate at the reducers. |
| */ |
| public class MMTSJ extends Lop |
| { |
| |
| |
| public enum MMTSJType { |
| NONE, |
| LEFT, |
| RIGHT; |
| |
| public boolean isLeft(){ |
| return (this == LEFT); |
| } |
| } |
| |
| private MMTSJType _type = null; |
| private int _numThreads = 1; |
| |
| public MMTSJ(Lop input1, DataType dt, ValueType vt, ExecType et, MMTSJType type) |
| { |
| this(input1, dt, vt, et, type, -1); |
| } |
| |
| public MMTSJ(Lop input1, DataType dt, ValueType vt, ExecType et, MMTSJType type, int k) |
| { |
| super(Lop.Type.MMTSJ, dt, vt); |
| addInput(input1); |
| input1.addOutput(this); |
| _type = type; |
| _numThreads = k; |
| |
| boolean breaksAlignment = true; //if result keys (matrix indexes) different |
| boolean aligner = false; //if groups multiple inputs by key (e.g., group) |
| boolean definesMRJob = (et == ExecType.MR); //if requires its own MR job |
| ExecLocation el = (et == ExecType.MR) ? ExecLocation.Map : ExecLocation.ControlProgram; |
| |
| lps.addCompatibility(JobType.GMR); |
| lps.setProperties( inputs, et, el, breaksAlignment, aligner, definesMRJob ); |
| } |
| |
| @Override |
| public String toString() { |
| return "Operation = MMTSJ"; |
| } |
| |
| /** |
| * MR instruction generation. |
| */ |
| @Override |
| public String getInstructions(int input_index1, int output_index) |
| { |
| StringBuilder sb = new StringBuilder(); |
| sb.append( getExecType() ); |
| sb.append( Lop.OPERAND_DELIMITOR ); |
| sb.append( "tsmm" ); |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( getInputs().get(0).prepInputOperand(input_index1)); |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( this.prepOutputOperand(output_index)); |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( _type ); |
| |
| return sb.toString(); |
| } |
| |
| /** |
| * CP and Spark instruction generation. |
| */ |
| @Override |
| public String getInstructions(String input_index1, String output_index) throws LopsException |
| { |
| StringBuilder sb = new StringBuilder(); |
| sb.append( getExecType() ); |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( "tsmm" ); |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( getInputs().get(0).prepInputOperand(input_index1)); |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( this.prepOutputOperand(output_index)); |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( _type ); |
| |
| //append degree of parallelism for matrix multiplications |
| if( getExecType()==ExecType.CP ) { |
| sb.append( OPERAND_DELIMITOR ); |
| sb.append( _numThreads ); |
| } |
| |
| return sb.toString(); |
| } |
| |
| |
| } |