org.apache.sysml.runtime.instructions.spark.functions.ComputeBinaryBlockNnzFunction Maven / Gradle / Ivy

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Declarative Machine Learning

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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.sysml.runtime.instructions.spark.functions;

import org.apache.spark.Accumulator;
import org.apache.spark.api.java.function.Function;

import org.apache.sysml.runtime.matrix.data.MatrixBlock;

/**
 * 
 */
public class ComputeBinaryBlockNnzFunction implements Function 
{
	private static final long serialVersionUID = -8396410450821999936L;
	
	private Accumulator _aNnz = null;
	
	public ComputeBinaryBlockNnzFunction( Accumulator aNnz )
	{
		_aNnz = aNnz;
	}

	@Override
	public MatrixBlock call(MatrixBlock arg0) throws Exception 
	{
		_aNnz.add( (double)arg0.getNonZeros() );
		return arg0;
	}
}