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-/*
- Copyright (c) 2011, Intel Corporation. All rights reserved.
-
- Redistribution and use in source and binary forms, with or without modification,
- are permitted provided that the following conditions are met:
-
- * Redistributions of source code must retain the above copyright notice, this
- list of conditions and the following disclaimer.
- * Redistributions in binary form must reproduce the above copyright notice,
- this list of conditions and the following disclaimer in the documentation
- and/or other materials provided with the distribution.
- * Neither the name of Intel Corporation nor the names of its contributors may
- be used to endorse or promote products derived from this software without
- specific prior written permission.
-
- THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
- ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
- WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
- ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
- (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
- LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
- ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
- SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-
- ********************************************************************************
- * Content : Eigen bindings to BLAS F77
- * Selfadjoint matrix-vector product functionality based on ?SYMV/HEMV.
- ********************************************************************************
-*/
-
-#ifndef EIGEN_SELFADJOINT_MATRIX_VECTOR_BLAS_H
-#define EIGEN_SELFADJOINT_MATRIX_VECTOR_BLAS_H
-
-namespace Eigen {
-
-namespace internal {
-
-/**********************************************************************
-* This file implements selfadjoint matrix-vector multiplication using BLAS
-**********************************************************************/
-
-// symv/hemv specialization
-
-template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs>
-struct selfadjoint_matrix_vector_product_symv :
- selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn> {};
-
-#define EIGEN_BLAS_SYMV_SPECIALIZE(Scalar) \
-template<typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs> \
-struct selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Specialized> { \
-static void run( \
- Index size, const Scalar* lhs, Index lhsStride, \
- const Scalar* _rhs, Scalar* res, Scalar alpha) { \
- enum {\
- IsColMajor = StorageOrder==ColMajor \
- }; \
- if (IsColMajor == ConjugateLhs) {\
- selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn>::run( \
- size, lhs, lhsStride, _rhs, res, alpha); \
- } else {\
- selfadjoint_matrix_vector_product_symv<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs>::run( \
- size, lhs, lhsStride, _rhs, res, alpha); \
- }\
- } \
-}; \
-
-EIGEN_BLAS_SYMV_SPECIALIZE(double)
-EIGEN_BLAS_SYMV_SPECIALIZE(float)
-EIGEN_BLAS_SYMV_SPECIALIZE(dcomplex)
-EIGEN_BLAS_SYMV_SPECIALIZE(scomplex)
-
-#define EIGEN_BLAS_SYMV_SPECIALIZATION(EIGTYPE,BLASTYPE,BLASFUNC) \
-template<typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs> \
-struct selfadjoint_matrix_vector_product_symv<EIGTYPE,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs> \
-{ \
-typedef Matrix<EIGTYPE,Dynamic,1,ColMajor> SYMVVector;\
-\
-static void run( \
-Index size, const EIGTYPE* lhs, Index lhsStride, \
-const EIGTYPE* _rhs, EIGTYPE* res, EIGTYPE alpha) \
-{ \
- enum {\
- IsRowMajor = StorageOrder==RowMajor ? 1 : 0, \
- IsLower = UpLo == Lower ? 1 : 0 \
- }; \
- BlasIndex n=convert_index<BlasIndex>(size), lda=convert_index<BlasIndex>(lhsStride), incx=1, incy=1; \
- EIGTYPE beta(1); \
- const EIGTYPE *x_ptr; \
- char uplo=(IsRowMajor) ? (IsLower ? 'U' : 'L') : (IsLower ? 'L' : 'U'); \
- SYMVVector x_tmp; \
- if (ConjugateRhs) { \
- Map<const SYMVVector, 0 > map_x(_rhs,size,1); \
- x_tmp=map_x.conjugate(); \
- x_ptr=x_tmp.data(); \
- } else x_ptr=_rhs; \
- BLASFUNC(&uplo, &n, &numext::real_ref(alpha), (const BLASTYPE*)lhs, &lda, (const BLASTYPE*)x_ptr, &incx, &numext::real_ref(beta), (BLASTYPE*)res, &incy); \
-}\
-};
-
-EIGEN_BLAS_SYMV_SPECIALIZATION(double, double, dsymv_)
-EIGEN_BLAS_SYMV_SPECIALIZATION(float, float, ssymv_)
-EIGEN_BLAS_SYMV_SPECIALIZATION(dcomplex, double, zhemv_)
-EIGEN_BLAS_SYMV_SPECIALIZATION(scomplex, float, chemv_)
-
-} // end namespace internal
-
-} // end namespace Eigen
-
-#endif // EIGEN_SELFADJOINT_MATRIX_VECTOR_BLAS_H