зеркало из https://github.com/microsoft/EdgeML.git
307 строки
10 KiB
C++
307 строки
10 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "common.h"
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// y = alpha*A*x + beta*y
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int EIGEN_BLAS_FUNC(symv) (const char *uplo, const int *n, const RealScalar *palpha, const RealScalar *pa, const int *lda,
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const RealScalar *px, const int *incx, const RealScalar *pbeta, RealScalar *py, const int *incy)
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{
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typedef void (*functype)(int, const Scalar*, int, const Scalar*, Scalar*, Scalar);
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static const functype func[2] = {
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// array index: UP
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(internal::selfadjoint_matrix_vector_product<Scalar,int,ColMajor,Upper,false,false>::run),
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// array index: LO
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(internal::selfadjoint_matrix_vector_product<Scalar,int,ColMajor,Lower,false,false>::run),
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};
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const Scalar* a = reinterpret_cast<const Scalar*>(pa);
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const Scalar* x = reinterpret_cast<const Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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Scalar alpha = *reinterpret_cast<const Scalar*>(palpha);
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Scalar beta = *reinterpret_cast<const Scalar*>(pbeta);
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// check arguments
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int info = 0;
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if(UPLO(*uplo)==INVALID) info = 1;
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else if(*n<0) info = 2;
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else if(*lda<std::max(1,*n)) info = 5;
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else if(*incx==0) info = 7;
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else if(*incy==0) info = 10;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"SYMV ",&info,6);
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if(*n==0)
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return 0;
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const Scalar* actual_x = get_compact_vector(x,*n,*incx);
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Scalar* actual_y = get_compact_vector(y,*n,*incy);
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if(beta!=Scalar(1))
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{
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if(beta==Scalar(0)) make_vector(actual_y, *n).setZero();
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else make_vector(actual_y, *n) *= beta;
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}
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int code = UPLO(*uplo);
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if(code>=2 || func[code]==0)
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return 0;
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func[code](*n, a, *lda, actual_x, actual_y, alpha);
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if(actual_x!=x) delete[] actual_x;
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if(actual_y!=y) delete[] copy_back(actual_y,y,*n,*incy);
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return 1;
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}
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// C := alpha*x*x' + C
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int EIGEN_BLAS_FUNC(syr)(const char *uplo, const int *n, const RealScalar *palpha, const RealScalar *px, const int *incx, RealScalar *pc, const int *ldc)
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{
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typedef void (*functype)(int, Scalar*, int, const Scalar*, const Scalar*, const Scalar&);
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static const functype func[2] = {
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// array index: UP
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(selfadjoint_rank1_update<Scalar,int,ColMajor,Upper,false,Conj>::run),
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// array index: LO
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(selfadjoint_rank1_update<Scalar,int,ColMajor,Lower,false,Conj>::run),
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};
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const Scalar* x = reinterpret_cast<const Scalar*>(px);
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Scalar* c = reinterpret_cast<Scalar*>(pc);
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Scalar alpha = *reinterpret_cast<const Scalar*>(palpha);
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int info = 0;
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if(UPLO(*uplo)==INVALID) info = 1;
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else if(*n<0) info = 2;
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else if(*incx==0) info = 5;
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else if(*ldc<std::max(1,*n)) info = 7;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"SYR ",&info,6);
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if(*n==0 || alpha==Scalar(0)) return 1;
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// if the increment is not 1, let's copy it to a temporary vector to enable vectorization
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const Scalar* x_cpy = get_compact_vector(x,*n,*incx);
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int code = UPLO(*uplo);
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if(code>=2 || func[code]==0)
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return 0;
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func[code](*n, c, *ldc, x_cpy, x_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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return 1;
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}
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// C := alpha*x*y' + alpha*y*x' + C
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int EIGEN_BLAS_FUNC(syr2)(const char *uplo, const int *n, const RealScalar *palpha, const RealScalar *px, const int *incx, const RealScalar *py, const int *incy, RealScalar *pc, const int *ldc)
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{
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typedef void (*functype)(int, Scalar*, int, const Scalar*, const Scalar*, Scalar);
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static const functype func[2] = {
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// array index: UP
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(internal::rank2_update_selector<Scalar,int,Upper>::run),
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// array index: LO
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(internal::rank2_update_selector<Scalar,int,Lower>::run),
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};
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const Scalar* x = reinterpret_cast<const Scalar*>(px);
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const Scalar* y = reinterpret_cast<const Scalar*>(py);
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Scalar* c = reinterpret_cast<Scalar*>(pc);
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Scalar alpha = *reinterpret_cast<const Scalar*>(palpha);
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int info = 0;
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if(UPLO(*uplo)==INVALID) info = 1;
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else if(*n<0) info = 2;
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else if(*incx==0) info = 5;
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else if(*incy==0) info = 7;
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else if(*ldc<std::max(1,*n)) info = 9;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"SYR2 ",&info,6);
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if(alpha==Scalar(0))
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return 1;
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const Scalar* x_cpy = get_compact_vector(x,*n,*incx);
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const Scalar* y_cpy = get_compact_vector(y,*n,*incy);
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int code = UPLO(*uplo);
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if(code>=2 || func[code]==0)
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return 0;
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func[code](*n, c, *ldc, x_cpy, y_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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if(y_cpy!=y) delete[] y_cpy;
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// int code = UPLO(*uplo);
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// if(code>=2 || func[code]==0)
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// return 0;
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// func[code](*n, a, *inca, b, *incb, c, *ldc, alpha);
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return 1;
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}
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/** DSBMV performs the matrix-vector operation
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*
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* y := alpha*A*x + beta*y,
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*
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* where alpha and beta are scalars, x and y are n element vectors and
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* A is an n by n symmetric band matrix, with k super-diagonals.
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*/
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// int EIGEN_BLAS_FUNC(sbmv)( char *uplo, int *n, int *k, RealScalar *alpha, RealScalar *a, int *lda,
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// RealScalar *x, int *incx, RealScalar *beta, RealScalar *y, int *incy)
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// {
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// return 1;
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// }
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/** DSPMV performs the matrix-vector operation
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*
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* y := alpha*A*x + beta*y,
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*
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* where alpha and beta are scalars, x and y are n element vectors and
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* A is an n by n symmetric matrix, supplied in packed form.
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*
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*/
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// int EIGEN_BLAS_FUNC(spmv)(char *uplo, int *n, RealScalar *alpha, RealScalar *ap, RealScalar *x, int *incx, RealScalar *beta, RealScalar *y, int *incy)
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// {
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// return 1;
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// }
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/** DSPR performs the symmetric rank 1 operation
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*
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* A := alpha*x*x' + A,
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*
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* where alpha is a real scalar, x is an n element vector and A is an
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* n by n symmetric matrix, supplied in packed form.
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*/
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int EIGEN_BLAS_FUNC(spr)(char *uplo, int *n, Scalar *palpha, Scalar *px, int *incx, Scalar *pap)
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{
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typedef void (*functype)(int, Scalar*, const Scalar*, Scalar);
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static const functype func[2] = {
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// array index: UP
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(internal::selfadjoint_packed_rank1_update<Scalar,int,ColMajor,Upper,false,false>::run),
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// array index: LO
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(internal::selfadjoint_packed_rank1_update<Scalar,int,ColMajor,Lower,false,false>::run),
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};
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* ap = reinterpret_cast<Scalar*>(pap);
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Scalar alpha = *reinterpret_cast<Scalar*>(palpha);
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int info = 0;
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if(UPLO(*uplo)==INVALID) info = 1;
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else if(*n<0) info = 2;
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else if(*incx==0) info = 5;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"SPR ",&info,6);
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if(alpha==Scalar(0))
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return 1;
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Scalar* x_cpy = get_compact_vector(x, *n, *incx);
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int code = UPLO(*uplo);
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if(code>=2 || func[code]==0)
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return 0;
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func[code](*n, ap, x_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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return 1;
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}
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/** DSPR2 performs the symmetric rank 2 operation
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*
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* A := alpha*x*y' + alpha*y*x' + A,
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*
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* where alpha is a scalar, x and y are n element vectors and A is an
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* n by n symmetric matrix, supplied in packed form.
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*/
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int EIGEN_BLAS_FUNC(spr2)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *pap)
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{
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typedef void (*functype)(int, Scalar*, const Scalar*, const Scalar*, Scalar);
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static const functype func[2] = {
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// array index: UP
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(internal::packed_rank2_update_selector<Scalar,int,Upper>::run),
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// array index: LO
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(internal::packed_rank2_update_selector<Scalar,int,Lower>::run),
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};
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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Scalar* ap = reinterpret_cast<Scalar*>(pap);
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Scalar alpha = *reinterpret_cast<Scalar*>(palpha);
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int info = 0;
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if(UPLO(*uplo)==INVALID) info = 1;
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else if(*n<0) info = 2;
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else if(*incx==0) info = 5;
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else if(*incy==0) info = 7;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"SPR2 ",&info,6);
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if(alpha==Scalar(0))
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return 1;
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Scalar* x_cpy = get_compact_vector(x, *n, *incx);
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Scalar* y_cpy = get_compact_vector(y, *n, *incy);
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int code = UPLO(*uplo);
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if(code>=2 || func[code]==0)
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return 0;
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func[code](*n, ap, x_cpy, y_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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if(y_cpy!=y) delete[] y_cpy;
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return 1;
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}
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/** DGER performs the rank 1 operation
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*
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* A := alpha*x*y' + A,
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*
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* where alpha is a scalar, x is an m element vector, y is an n element
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* vector and A is an m by n matrix.
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*/
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int EIGEN_BLAS_FUNC(ger)(int *m, int *n, Scalar *palpha, Scalar *px, int *incx, Scalar *py, int *incy, Scalar *pa, int *lda)
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{
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Scalar* x = reinterpret_cast<Scalar*>(px);
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Scalar* y = reinterpret_cast<Scalar*>(py);
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Scalar* a = reinterpret_cast<Scalar*>(pa);
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Scalar alpha = *reinterpret_cast<Scalar*>(palpha);
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int info = 0;
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if(*m<0) info = 1;
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else if(*n<0) info = 2;
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else if(*incx==0) info = 5;
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else if(*incy==0) info = 7;
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else if(*lda<std::max(1,*m)) info = 9;
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if(info)
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return xerbla_(SCALAR_SUFFIX_UP"GER ",&info,6);
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if(alpha==Scalar(0))
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return 1;
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Scalar* x_cpy = get_compact_vector(x,*m,*incx);
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Scalar* y_cpy = get_compact_vector(y,*n,*incy);
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internal::general_rank1_update<Scalar,int,ColMajor,false,false>::run(*m, *n, a, *lda, x_cpy, y_cpy, alpha);
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if(x_cpy!=x) delete[] x_cpy;
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if(y_cpy!=y) delete[] y_cpy;
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return 1;
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}
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