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/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.linalg.cpu.nativecpu;
import com.google.flatbuffers.FlatBufferBuilder;
import lombok.extern.slf4j.Slf4j;
import org.nd4j.linalg.api.blas.params.MMulTranspose;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.ndarray.*;
/**
* @author Audrey Loeffel
*/
@Slf4j
public class SparseNDArrayCSR extends BaseSparseNDArrayCSR {
/**
*
*
* The length of the values and columns arrays is equal to the number of non-zero elements in A.
* The length of the pointerB and pointerE arrays is equal to the number of rows in A.
* @param data a double array that contains the non-zero element of the sparse matrix A
* @param columns Element i of the integer array columns is the number of the column in A that contains the i-th value
* in the values array.
* @param pointerB Element j of this integer array gives the index of the element in the values array that is first
* non-zero element in a row j of A. Note that this index is equal to pointerB(j) - pointerB(1)+1 .
* @param pointerE An integer array that contains row indices, such that pointerE(j)-pointerB(1) is the index of the
* element in the values array that is last non-zero element in a row j of A.
* @param shape Shape of the matrix A
*/
public SparseNDArrayCSR(double[] data, int[] columns, int[] pointerB, int[] pointerE, long[] shape) {
super(data, columns, pointerB, pointerE, shape);
}
public SparseNDArrayCSR(float[] data, int[] columns, int[] pointerB, int[] pointerE, long[] shape) {
super(data, columns, pointerB, pointerE, shape);
}
public SparseNDArrayCSR(DataBuffer data, int[] columns, int[] pointerB, int[] pointerE, long[] shape) {
super(data, columns, pointerB, pointerE, shape);
}
@Override
public INDArray repeat(int dimension, long... repeats) {
return null;
}
@Override
public INDArray mmul(INDArray other, MMulTranspose mMulTranspose) {
return null;
}
/**
* Perform an copy matrix multiplication
*
* @param other the other matrix to perform matrix multiply with
* @param result the result ndarray
* @param mMulTranspose the transpose status of each array
* @return the result of the matrix multiplication
*/
@Override
public INDArray mmul(INDArray other, INDArray result, MMulTranspose mMulTranspose) {
return null;
}
@Override
public INDArray mmuli(INDArray other, MMulTranspose transpose) {
return null;
}
@Override
public INDArray mmuli(INDArray other, INDArray result, MMulTranspose transpose) {
return null;
}
@Override
public INDArray reshape(char order, int... newShape) {
return null;
}
@Override
public INDArray reshape(int[] shape) {
return null;
}
@Override
public int toFlatArray(FlatBufferBuilder builder) {
throw new UnsupportedOperationException();
}
@Override
public INDArray convertToHalfs() {
return null;
}
@Override
public INDArray convertToFloats() {
return null;
}
@Override
public INDArray convertToDoubles() {
return null;
}
/**
* This method returns true if this INDArray is special case: no-value INDArray
*
* @return
*/
@Override
public boolean isEmpty() {
return false;
}
}
