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/*
* 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();
}
}