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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.functionobjects;
import org.apache.sysml.runtime.matrix.MatrixCharacteristics;
import org.apache.sysml.runtime.matrix.data.MatrixIndexes;
import org.apache.sysml.runtime.matrix.data.MatrixValue.CellIndex;
public class ReduceDiag extends IndexFunction
{
private static final long serialVersionUID = 734843929521413928L;
private static ReduceDiag singleObj = null;
private ReduceDiag() {
// nothing to do here
}
public static ReduceDiag getReduceDiagFnObject() {
if ( singleObj == null )
singleObj = new ReduceDiag();
return singleObj;
}
/*
* NOTE: index starts from 1 for cells in a matrix, but index starts from 0 for cells inside a block
*/
@Override
public void execute(MatrixIndexes in, MatrixIndexes out) {
out.setIndexes(1, 1);
}
@Override
public void execute(CellIndex in, CellIndex out) {
out.set(0, 0);
}
@Override
public boolean computeDimension(int row, int col, CellIndex retDim) {
retDim.set(1, 1);
return true;
}
@Override
public boolean computeDimension(MatrixCharacteristics in, MatrixCharacteristics out) {
out.set(1, 1, 1, 1);
return true;
}
}