org.nd4j.linalg.api.blas.params.SparseCOOGemvParameters Maven / Gradle / Ivy
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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.
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* SPDX-License-Identifier: Apache-2.0
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package org.nd4j.linalg.api.blas.params;
import lombok.Data;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.ndarray.BaseSparseNDArrayCOO;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.api.ndarray.SparseFormat;
import org.nd4j.linalg.factory.Nd4j;
/**
* @author Audrey Loeffel
*/
@Data
public class SparseCOOGemvParameters {
private int m, nnz;
DataBuffer val, rowInd, colInd;
private INDArray a, x, y;
private char aOrdering = 'N';
public SparseCOOGemvParameters(INDArray a, INDArray x, INDArray y) {
this.a = a;
this.x = x;
this.y = y;
if (a.isMatrix() && a.getFormat() == SparseFormat.COO) {
BaseSparseNDArrayCOO coo = (BaseSparseNDArrayCOO) a;
val = coo.getIncludedValues();
nnz = coo.nnz();
// FIXME: int cast
m = (int) coo.rows();
setIndexes(coo, false);
}
}
private void setIndexes(BaseSparseNDArrayCOO coo, boolean oneBased) {
int incr = oneBased ? 1 : 0;
int[] idx = coo.getIncludedIndices().asInt();
int[] rows = new int[nnz];
int[] cols = new int[nnz];
for (int i = 0; i < nnz; i++) {
rows[i] = idx[i * 2] + incr;
cols[i] = idx[(i * 2) + 1] + incr;
}
rowInd = Nd4j.createBuffer(rows);
colInd = Nd4j.createBuffer(cols);
}
}