/* * 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.matrix; import org.apache.ignite.ml.math.Matrix; import org.apache.ignite.ml.math.Vector; import org.apache.ignite.ml.math.impls.storage.matrix.DenseOffHeapMatrixStorage; import org.apache.ignite.ml.math.impls.vector.DenseLocalOffHeapVector; /** * Dense local off-heap implementation of the {@link Matrix} interface. */ public class DenseLocalOffHeapMatrix extends AbstractMatrix { /** */ public DenseLocalOffHeapMatrix() { // No-op. } /** * @param data Backing data array. */ public DenseLocalOffHeapMatrix(double[][] data) { assert data != null; setStorage(new DenseOffHeapMatrixStorage(data)); } /** * @param rows Amount of rows in matrix. * @param cols Amount of columns in matrix. */ public DenseLocalOffHeapMatrix(int rows, int cols) { assert rows > 0; assert cols > 0; setStorage(new DenseOffHeapMatrixStorage(rows, cols)); } /** {@inheritDoc} */ @Override public Matrix copy() { DenseLocalOffHeapMatrix cp = new DenseLocalOffHeapMatrix(getStorage().rowSize(), getStorage().columnSize()); cp.assign(this); return cp; } /** {@inheritDoc} */ @Override public Matrix like(int rows, int cols) { return new DenseLocalOffHeapMatrix(rows, cols); } /** {@inheritDoc} */ @Override public Vector likeVector(int crd) { return new DenseLocalOffHeapVector(crd); } /** {@inheritDoc} */ @Override protected Matrix likeIdentity() { int n = rowSize(); Matrix res = like(n, n); // IMPL NOTE as opposed to on-heap matrices this one isn't initialized with zeroes for (int i = 0; i < n; i++) for (int j = 0; j < n; j++) res.setX(i, j, i == j ? 1.0 : 0.0); return res; } }