Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance. Project price only 1 $
You can buy this project and download/modify it how often you want.
/*
* ******************************************************************************
* *
* *
* * 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.
* *
* * See the NOTICE file distributed with this work for additional
* * information regarding copyright ownership.
* * 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.factory;
import org.nd4j.linalg.api.blas.Lapack;
import org.nd4j.linalg.api.blas.Level1;
import org.nd4j.linalg.api.blas.Level2;
import org.nd4j.linalg.api.blas.Level3;
import org.nd4j.linalg.api.ndarray.INDArray;
public interface BlasWrapper {
/***************************************************************************
* BLAS Level 1
*/
/**
* Compute x <-> y (swap two matrices)
*/
INDArray swap(INDArray x, INDArray y);
/**
* Return the level 1 functions
* for this blas impl
* @return
*/
Level1 level1();
/**
* Return the level 2 functions
* for this blas impl
* @return
*/
Level2 level2();
/**
* Return the level 3 functions
* for this blas impl
* @return
*/
Level3 level3();
/**
* LAPack interface
* @return
*/
Lapack lapack();
@Deprecated
INDArray scal(double alpha, INDArray x);
/**
* Compute x <- alpha * x (scale a matrix)
*/
@Deprecated
INDArray scal(float alpha, INDArray x);
/**
* Compute y <- x (copy a matrix)
*/
INDArray copy(INDArray x, INDArray y);
@Deprecated
INDArray axpy(double da, INDArray dx, INDArray dy);
/**
* Compute y <- alpha * x + y (elementwise addition)
*/
@Deprecated
INDArray axpy(float da, INDArray dx, INDArray dy);
/**
* Compute y <- y + x * alpha
* @param da the alpha to multiply by
* @param dx
* @param dy
* @return
*/
INDArray axpy(Number da, INDArray dx, INDArray dy);
/**
* Compute x^T * y (dot product)
*/
double dot(INDArray x, INDArray y);
/**
* Compute || x ||_2 (2-norm)
*/
double nrm2(INDArray x);
/**
* Compute || x ||_1 (1-norm, sum of absolute values)
*/
double asum(INDArray x);
/**
* Compute index of element with largest absolute value (index of absolute
* value maximum)
*/
int iamax(INDArray x);
/**
* ************************************************************************
* BLAS Level 2
*/
INDArray gemv(Number alpha, INDArray a, INDArray x, double beta, INDArray y);
@Deprecated
INDArray gemv(double alpha, INDArray a, INDArray x, double beta, INDArray y);
/**
* Compute y <- alpha*op(a)*x + beta * y (general matrix vector
* multiplication)
*/
@Deprecated
INDArray gemv(float alpha, INDArray a, INDArray x, float beta, INDArray y);
INDArray ger(Number alpha, INDArray x, INDArray y, INDArray a);
@Deprecated
INDArray ger(double alpha, INDArray x, INDArray y, INDArray a);
/**
* Compute A <- alpha * x * y^T + A (general rank-1 update)
*/
INDArray ger(float alpha, INDArray x, INDArray y, INDArray a);
/**
* ************************************************************************
* LAPACK
*/
INDArray gesv(INDArray a, int[] ipiv, INDArray b);
//STOP
void checkInfo(String name, int info);
//START
INDArray sysv(char uplo, INDArray a, int[] ipiv, INDArray b);
int syev(char jobz, char uplo, INDArray a, INDArray w);
int syevx(char jobz, char range, char uplo, INDArray a, double vl, double vu, int il, int iu, double abstol,
INDArray w, INDArray z);
int syevx(char jobz, char range, char uplo, INDArray a, float vl, float vu, int il, int iu, float abstol,
INDArray w, INDArray z);
int syevd(char jobz, char uplo, INDArray A, INDArray w);
@Deprecated
int syevr(char jobz, char range, char uplo, INDArray a, double vl, double vu, int il, int iu, double abstol,
INDArray w, INDArray z, int[] isuppz);
@Deprecated
int syevr(char jobz, char range, char uplo, INDArray a, float vl, float vu, int il, int iu, float abstol,
INDArray w, INDArray z, int[] isuppz);
int syevr(char jobz, char range, char uplo, INDArray a, float vl, float vu, int il, int iu, Number abstol,
INDArray w, INDArray z, int[] isuppz);
void posv(char uplo, INDArray A, INDArray B);
int geev(char jobvl, char jobvr, INDArray A, INDArray WR, INDArray WI, INDArray VL, INDArray VR);
int sygvd(int itype, char jobz, char uplo, INDArray A, INDArray B, INDArray W);
/**
* Generalized Least Squares via *GELSD.
*
* Note that B must be padded to contain the solution matrix. This occurs when A has fewer rows
* than columns.
*
* For example: in A * X = B, A is (m,n), X is (n,k) and B is (m,k). Now if m < n, since B is overwritten to contain
* the solution (in classical LAPACK style), B needs to be padded to be an (n,k) matrix.
*
* Likewise, if m > n, the solution consists only of the first n rows of B.
*
* @param A an (m,n) matrix
* @param B an (max(m,n), k) matrix (well, at least)
*/
void gelsd(INDArray A, INDArray B);
void geqrf(INDArray A, INDArray tau);
void ormqr(char side, char trans, INDArray A, INDArray tau, INDArray C);
@Deprecated
void saxpy(double alpha, INDArray x, INDArray y);
/**
* Abstraction over saxpy
*
* @param alpha the alpha to scale by
* @param x the ndarray to use
* @param y the ndarray to use
*/
@Deprecated
void saxpy(float alpha, INDArray x, INDArray y);
}
