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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.runtime.DMLRuntimeException;
import org.apache.sysml.runtime.instructions.InstructionUtils;
import org.apache.sysml.runtime.matrix.MatrixCharacteristics;
import org.apache.sysml.runtime.matrix.data.LibMatrixReorg;
import org.apache.sysml.runtime.matrix.data.MatrixValue;
import org.apache.sysml.runtime.matrix.mapred.CachedValueMap;
import org.apache.sysml.runtime.matrix.mapred.IndexedMatrixValue;
import org.apache.sysml.runtime.matrix.operators.Operator;
import org.apache.sysml.runtime.util.UtilFunctions;
public class MatrixReshapeMRInstruction extends UnaryInstruction
{
private long _rows = -1;
private long _cols = -1;
private boolean _byrow = false;
private MatrixCharacteristics _mcIn = null;
//MB: cache should be integrated with tempValues, but for n blocks
private ArrayList _cache = null;
public MatrixReshapeMRInstruction(Operator op, byte in, long rows, long cols, boolean byrow, byte out, String istr)
{
super(op, in, out, istr);
mrtype = MRINSTRUCTION_TYPE.MMTSJ;
instString = istr;
_rows = rows;
_cols = cols;
_byrow = byrow;
}
public void setMatrixCharacteristics( MatrixCharacteristics mcIn, MatrixCharacteristics mcOut )
{
_mcIn = mcIn;
}
public static MatrixReshapeMRInstruction parseInstruction ( String str )
throws DMLRuntimeException
{
InstructionUtils.checkNumFields ( str, 5 );
String[] parts = InstructionUtils.getInstructionParts(str);
String opcode = parts[0];
byte in = Byte.parseByte(parts[1]);
long rows = UtilFunctions.toLong(Double.parseDouble(parts[2])); //save cast
long cols = UtilFunctions.toLong(Double.parseDouble(parts[3])); //save cast
boolean byrow = Boolean.parseBoolean(parts[4]);
byte out = Byte.parseByte(parts[5]);
if(!opcode.equalsIgnoreCase("rshape"))
throw new DMLRuntimeException("Unknown opcode while parsing an MatrixReshapeMRInstruction: " + str);
else
return new MatrixReshapeMRInstruction(new Operator(true), in, rows, cols, byrow, out, str);
}
@Override
public void processInstruction(Class valueClass,
CachedValueMap cachedValues, IndexedMatrixValue tempValue,
IndexedMatrixValue zeroInput, int brlen, int bclen )
throws DMLRuntimeException
{
ArrayList blkList = cachedValues.get(input);
if( blkList != null )
for(IndexedMatrixValue imv : blkList)
{
if( imv == null )
continue;
//get cached blocks
ArrayList out = _cache;
//process instruction
out = LibMatrixReorg.reshape(imv, _mcIn.getRows(), _mcIn.getCols(), brlen, bclen,
out, _rows, _cols, brlen, bclen, _byrow);
//put the output values in the output cache
for( IndexedMatrixValue outBlk : out )
cachedValues.add(output, outBlk);
//put blocks into own cache
if( LibMatrixReorg.ALLOW_BLOCK_REUSE )
_cache = out;
}
}
public long getNumRows()
{
return _rows;
}
public long getNumColunms()
{
return _cols;
}
}