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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.sysds.runtime.matrix.operators;
import org.apache.sysds.runtime.functionobjects.IndexFunction;
import org.apache.sysds.runtime.functionobjects.KahanPlus;
import org.apache.sysds.runtime.functionobjects.KahanPlusSq;
import org.apache.sysds.runtime.functionobjects.Minus;
import org.apache.sysds.runtime.functionobjects.Or;
import org.apache.sysds.runtime.functionobjects.Plus;
import org.apache.sysds.runtime.functionobjects.ReduceCol;
import org.apache.sysds.runtime.functionobjects.ReduceRow;
public class AggregateUnaryOperator extends Operator
{
private static final long serialVersionUID = 6690553323120787735L;
public final AggregateOperator aggOp;
public final IndexFunction indexFn;
private final int k; //num threads
public AggregateUnaryOperator(AggregateOperator aop, IndexFunction iop)
{
//default degree of parallelism is 1
//(for example in MR/Spark because we parallelize over the number of blocks)
this( aop, iop, 1 );
}
public AggregateUnaryOperator(AggregateOperator aop, IndexFunction iop, int numThreads)
{
super(aop.increOp.fn instanceof Plus
|| aop.increOp.fn instanceof KahanPlus
|| aop.increOp.fn instanceof KahanPlusSq
|| aop.increOp.fn instanceof Or
|| aop.increOp.fn instanceof Minus);
aggOp = aop;
indexFn = iop;
k = numThreads;
}
public int getNumThreads(){
return k;
}
public boolean isRowAggregate() {
return indexFn instanceof ReduceCol;
}
public boolean isColAggregate() {
return indexFn instanceof ReduceRow;
}
}