/*
* 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.ignite.ml.math.impls.vector;
import java.util.stream.IntStream;
import org.apache.ignite.ml.math.Matrix;
import org.apache.ignite.ml.math.Vector;
import org.apache.ignite.ml.math.impls.matrix.DenseLocalOffHeapMatrix;
import org.apache.ignite.ml.math.impls.storage.vector.DenseLocalOffHeapVectorStorage;
/**
* Implementation for {@link Vector} assuming dense logic and local offheap JVM storage.
* It is suitable for data sets where local, non-distributed execution is satisfactory and on-heap JVM storage
* is not enough to keep the entire data set.
*/
public class DenseLocalOffHeapVector extends AbstractVector {
/** */
public DenseLocalOffHeapVector() {
// No-op.
}
/** */
private void makeOffheapStorage(int size) {
setStorage(new DenseLocalOffHeapVectorStorage(size));
}
/**
* @param arr Array to copy to offheap storage.
*/
public DenseLocalOffHeapVector(double[] arr) {
makeOffheapStorage(arr.length);
assign(arr);
}
/**
* @param size Vector cardinality.
*/
public DenseLocalOffHeapVector(int size) {
makeOffheapStorage(size);
}
/** {@inheritDoc} */
@Override public Vector assign(Vector vec) {
checkCardinality(vec);
IntStream.range(0, size()).parallel().forEach(idx -> set(idx, vec.get(idx)));
return this;
}
/** {@inheritDoc} */
@Override public Vector times(double x) {
if (x == 0.0)
return like(size()).assign(0);
else
return super.times(x);
}
/** {@inheritDoc} */
@Override public Vector like(int crd) {
return new DenseLocalOffHeapVector(crd);
}
/** {@inheritDoc} */
@Override public Matrix likeMatrix(int rows, int cols) {
return new DenseLocalOffHeapMatrix(rows, cols);
}
/** {@inheritDoc} */
@Override public boolean equals(Object o) {
return o != null && getClass().equals(o.getClass()) && (getStorage().equals(((Vector)o).getStorage()));
}
}