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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.spark.functions;
import java.io.Serializable;
import java.util.ArrayList;
import org.apache.spark.api.java.function.PairFlatMapFunction;
import scala.Tuple2;
import org.apache.sysml.hops.OptimizerUtils;
import org.apache.sysml.runtime.instructions.spark.data.PartitionedBroadcastMatrix;
import org.apache.sysml.runtime.matrix.data.MatrixBlock;
import org.apache.sysml.runtime.matrix.data.MatrixIndexes;
import org.apache.sysml.runtime.matrix.data.WeightedCell;
import org.apache.sysml.runtime.matrix.operators.AggregateOperator;
import org.apache.sysml.runtime.matrix.operators.Operator;
import org.apache.sysml.runtime.util.UtilFunctions;
public abstract class ExtractGroup implements Serializable
{
private static final long serialVersionUID = -7059358143841229966L;
protected long _bclen = -1;
protected long _ngroups = -1;
protected Operator _op = null;
public ExtractGroup( long bclen, long ngroups, Operator op ) {
_bclen = bclen;
_ngroups = ngroups;
_op = op;
}
/**
*
* @param ix
* @param group
* @param target
* @return
* @throws Exception
*/
protected Iterable> execute(MatrixIndexes ix, MatrixBlock group, MatrixBlock target) throws Exception
{
//sanity check matching block dimensions
if(group.getNumRows() != target.getNumRows()) {
throw new Exception("The blocksize for group and target blocks are mismatched: " + group.getNumRows() + " != " + target.getNumRows());
}
//output weighted cells
ArrayList> groupValuePairs = new ArrayList>();
long coloff = (ix.getColumnIndex()-1)*_bclen;
//local pre-aggregation for sum w/ known output dimensions
if(_op instanceof AggregateOperator && _ngroups > 0
&& OptimizerUtils.isValidCPDimensions(_ngroups, target.getNumColumns()) )
{
MatrixBlock tmp = group.groupedAggOperations(target, null, new MatrixBlock(), (int)_ngroups, _op);
for(int i=0; i(ixout, weightedCell));
}
}
}
}
//general case without pre-aggregation
else
{
for(int i = 0; i < group.getNumRows(); i++) {
long groupVal = UtilFunctions.toLong(group.quickGetValue(i, 0));
if(groupVal < 1) {
throw new Exception("Expected group values to be greater than equal to 1 but found " + groupVal);
}
for( int j=0; j(ixout, weightedCell));
}
}
}
return groupValuePairs;
}
/**
*
*/
public static class ExtractGroupJoin extends ExtractGroup implements PairFlatMapFunction>, MatrixIndexes, WeightedCell>
{
private static final long serialVersionUID = 8890978615936560266L;
public ExtractGroupJoin(long bclen, long ngroups, Operator op) {
super(bclen, ngroups, op);
}
@Override
public Iterable> call(
Tuple2> arg)
throws Exception
{
MatrixIndexes ix = arg._1;
MatrixBlock group = arg._2._1;
MatrixBlock target = arg._2._2;
return execute(ix, group, target);
}
}
/**
*
*/
public static class ExtractGroupBroadcast extends ExtractGroup implements PairFlatMapFunction, MatrixIndexes, WeightedCell>
{
private static final long serialVersionUID = 5709955602290131093L;
private PartitionedBroadcastMatrix _pbm = null;
public ExtractGroupBroadcast( PartitionedBroadcastMatrix pbm, long bclen, long ngroups, Operator op ) {
super(bclen, ngroups, op);
_pbm = pbm;
}
@Override
public Iterable> call(
Tuple2 arg)
throws Exception
{
MatrixIndexes ix = arg._1;
MatrixBlock group = _pbm.getMatrixBlock((int)ix.getRowIndex(), 1);
MatrixBlock target = arg._2;
return execute(ix, group, target);
}
}
}