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Declarative Machine Learning
/*
* 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.runtime.instructions.mr;
import java.util.ArrayList;
import org.apache.sysml.lops.MapMultChain.ChainType;
import org.apache.sysml.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.MatrixIndexes;
import org.apache.sysml.runtime.matrix.data.MatrixValue;
import org.apache.sysml.runtime.matrix.mapred.CachedValueMap;
import org.apache.sysml.runtime.matrix.mapred.DistributedCacheInput;
import org.apache.sysml.runtime.matrix.mapred.IndexedMatrixValue;
import org.apache.sysml.runtime.matrix.mapred.MRBaseForCommonInstructions;
public class MapMultChainInstruction extends MRInstruction implements IDistributedCacheConsumer
{
private ChainType _chainType = null;
private byte _input1 = -1;
private byte _input2 = -1;
private byte _input3 = -1;
/**
* Two matrix inputs - type XtXv
*
* @param type chain type
* @param in1 input byte 1
* @param in2 input byte 2
* @param out output byte
* @param istr instruction string
*/
public MapMultChainInstruction(ChainType type, byte in1, byte in2, byte out, String istr)
{
super(null, out);
_chainType = type;
_input1 = in1;
_input2 = in2;
_input3 = -1;
mrtype = MRINSTRUCTION_TYPE.MapMultChain;
instString = istr;
}
/**
* Three matrix inputs - type XtwXv
*
* @param type chain type
* @param in1 input byte 1
* @param in2 input byte 2
* @param in3 input byte 3
* @param out output byte
* @param istr instruction string
*/
public MapMultChainInstruction(ChainType type, byte in1, byte in2, byte in3, byte out, String istr)
{
super(null, out);
_chainType = type;
_input1 = in1;
_input2 = in2;
_input3 = in3;
mrtype = MRINSTRUCTION_TYPE.MapMultChain;
instString = istr;
}
public ChainType getChainType()
{
return _chainType;
}
public byte getInput1() {
return _input1;
}
public byte getInput2() {
return _input2;
}
public byte getInput3() {
return _input3;
}
public static MapMultChainInstruction parseInstruction( String str )
throws DMLRuntimeException
{
//check number of fields (2/3 inputs, output, type)
InstructionUtils.checkNumFields ( str, 4, 5 );
//parse instruction parts (without exec type)
String[] parts = InstructionUtils.getInstructionParts( str );
byte in1 = Byte.parseByte(parts[1]);
byte in2 = Byte.parseByte(parts[2]);
if( parts.length==5 )
{
byte out = Byte.parseByte(parts[3]);
ChainType type = ChainType.valueOf(parts[4]);
return new MapMultChainInstruction(type, in1, in2, out, str);
}
else //parts.length==6
{
byte in3 = Byte.parseByte(parts[3]);
byte out = Byte.parseByte(parts[4]);
ChainType type = ChainType.valueOf(parts[5]);
return new MapMultChainInstruction(type, in1, in2, in3, out, str);
}
}
@Override //IDistributedCacheConsumer
public boolean isDistCacheOnlyIndex( String inst, byte index )
{
return (_chainType == ChainType.XtXv) ?
(index==_input2 && index!=_input1) :
(index==_input2 && index!=_input1) || (index==_input3 && index!=_input1);
}
@Override //IDistributedCacheConsumer
public void addDistCacheIndex( String inst, ArrayList indexes )
{
if( _chainType == ChainType.XtXv ){
indexes.add(_input2);
}
else {
indexes.add(_input2);
indexes.add(_input3);
}
}
@Override
public byte[] getInputIndexes()
{
if( _chainType==ChainType.XtXv )
return new byte[]{_input1, _input2};
else
return new byte[]{_input1, _input2, _input3};
}
@Override
public byte[] getAllIndexes()
{
if( _chainType==ChainType.XtXv )
return new byte[]{_input1, _input2, output};
else
return new byte[]{_input1, _input2, _input3, output};
}
@Override
public void processInstruction(Class valueClass, CachedValueMap cachedValues,
IndexedMatrixValue tempValue, IndexedMatrixValue zeroInput, int blockRowFactor, int blockColFactor)
throws DMLRuntimeException
{
ArrayList blkList = cachedValues.get(_input1);
if( blkList !=null )
for(IndexedMatrixValue imv : blkList)
{
if(imv==null)
continue;
MatrixIndexes inIx = imv.getIndexes();
MatrixValue inVal = imv.getValue();
//allocate space for the output value
IndexedMatrixValue iout = null;
if(output==_input1)
iout=tempValue;
else
iout=cachedValues.holdPlace(output, valueClass);
MatrixIndexes outIx = iout.getIndexes();
MatrixValue outVal = iout.getValue();
//process instruction
if( _chainType == ChainType.XtXv )
processXtXvOperations(inIx, inVal, outIx, outVal);
else
processXtwXvOperations(inIx, inVal, outIx, outVal, _chainType);
//put the output value in the cache
if(iout==tempValue)
cachedValues.add(output, iout);
}
}
/**
* Chain implementation for r = (t(X)%*%(X%*%v))
* (implemented as r = (t(t(X%*%v)%*%X))
*
* @param inIx input matrix indexes
* @param inVal input matrix value
* @param outIx output matrix indexes
* @param outVal output matrix value
* @throws DMLRuntimeException if DMLRuntimeException occurs
*/
private void processXtXvOperations(MatrixIndexes inIx, MatrixValue inVal, MatrixIndexes outIx, MatrixValue outVal )
throws DMLRuntimeException
{
DistributedCacheInput dcInput2 = MRBaseForCommonInstructions.dcValues.get(_input2); //v
MatrixBlock Xi = (MatrixBlock)inVal;
MatrixBlock v = (MatrixBlock) dcInput2.getDataBlock(1, 1).getValue();
//process core block operation
Xi.chainMatrixMultOperations(v, null, (MatrixBlock) outVal, ChainType.XtXv);
outIx.setIndexes(1, 1);
}
/**
* Chain implementation for r = (t(X)%*%(w*(X%*%v)))
* (implemented as r = (t(t((X%*%v)*w)%*%X))
*
* @param inIx input matrix indexes
* @param inVal input matrix value
* @param outIx output matrix indexes
* @param outVal output matrix value
* @throws DMLRuntimeException if DMLRuntimeException occurs
*/
private void processXtwXvOperations(MatrixIndexes inIx, MatrixValue inVal, MatrixIndexes outIx, MatrixValue outVal, ChainType chain )
throws DMLRuntimeException
{
DistributedCacheInput dcInput2 = MRBaseForCommonInstructions.dcValues.get(_input2); //v
DistributedCacheInput dcInput3 = MRBaseForCommonInstructions.dcValues.get(_input3); //w
MatrixBlock Xi = (MatrixBlock) inVal;
MatrixBlock v = (MatrixBlock) dcInput2.getDataBlock(1, 1).getValue();
MatrixBlock w = (MatrixBlock) dcInput3.getDataBlock((int)inIx.getRowIndex(), 1).getValue();
//process core block operation
Xi.chainMatrixMultOperations(v, w, (MatrixBlock) outVal, chain);
outIx.setIndexes(1, 1);
}
}