gemv.hpp

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//===========================================================================
/*!
 * 
 *
 * \brief       -
 *
 * \author      O. Krause
 * \date        2010
 *
 *
 * \par Copyright 1995-2015 Shark Development Team
 * 
 * <BR><HR>
 * This file is part of Shark.
 * <http://image.diku.dk/shark/>
 * 
 * Shark is free software: you can redistribute it and/or modify
 * it under the terms of the GNU Lesser General Public License as published 
 * by the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 * 
 * Shark is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU Lesser General Public License for more details.
 * 
 * You should have received a copy of the GNU Lesser General Public License
 * along with Shark.  If not, see <http://www.gnu.org/licenses/>.
 *
 */
//===========================================================================
#ifndef REMORA_KERNELS_CBLAS_GEMV_HPP
#define REMORA_KERNELS_CBLAS_GEMV_HPP
 
#include "cblas_inc.hpp"
#include <type_traits>
 
namespace remora{namespace bindings {
 
inline void gemv(CBLAS_ORDER const Order,
        CBLAS_TRANSPOSE const TransA, int const M, int const N,
        double alpha, float const *A, int const lda,
        float const *X, int const incX,
        double beta, float *Y, int const incY
) {
    cblas_sgemv(Order, TransA, M, N, alpha, A, lda,
            X, incX,
            beta, Y, incY);
}
 
inline void gemv(CBLAS_ORDER const Order,
        CBLAS_TRANSPOSE const TransA, int const M, int const N,
        double alpha, double const *A, int const lda,
        double const *X, int const incX,
        double beta, double *Y, int const incY
) {
    cblas_dgemv(Order, TransA, M, N, alpha, A, lda,
            X, incX,
            beta, Y, incY);
}
 
inline void gemv(CBLAS_ORDER const Order,
        CBLAS_TRANSPOSE const TransA, int const M, int const N,
        double alpha,
        std::complex<float> const *A, int const lda,
        std::complex<float> const *X, int const incX,
        double beta,
        std::complex<float> *Y, int const incY
) {
    std::complex<float> alphaArg(alpha,0);
    std::complex<float> betaArg(beta,0);
    cblas_cgemv(Order, TransA, M, N,
            reinterpret_cast<cblas_float_complex_type const *>(&alphaArg),
            reinterpret_cast<cblas_float_complex_type const *>(A), lda,
            reinterpret_cast<cblas_float_complex_type const *>(X), incX,
            reinterpret_cast<cblas_float_complex_type const *>(&betaArg),
            reinterpret_cast<cblas_float_complex_type *>(Y), incY);
}
 
inline void gemv(CBLAS_ORDER const Order,
        CBLAS_TRANSPOSE const TransA, int const M, int const N,
         double alpha,
        std::complex<double> const *A, int const lda,
        std::complex<double> const *X, int const incX,
        double beta,
        std::complex<double> *Y, int const incY
) {
    std::complex<double> alphaArg(alpha,0);
    std::complex<double> betaArg(beta,0);
    cblas_zgemv(Order, TransA, M, N,
            reinterpret_cast<cblas_double_complex_type const *>(&alphaArg),
            reinterpret_cast<cblas_double_complex_type const *>(A), lda,
            reinterpret_cast<cblas_double_complex_type const *>(X), incX,
            reinterpret_cast<cblas_double_complex_type const *>(&betaArg),
            reinterpret_cast<cblas_double_complex_type *>(Y), incY);
}
 
 
// y <- alpha * op (A) * x + beta * y
// op (A) == A || A^T || A^H
template <typename MatA, typename VectorX, typename VectorY>
void gemv(
    matrix_expression<MatA, cpu_tag> const &A,
    vector_expression<VectorX, cpu_tag> const &x,
        vector_expression<VectorY, cpu_tag> &y,
    typename VectorY::value_type alpha,
    std::true_type
){
    std::size_t m = A().size1();
    std::size_t n = A().size2();
    
    REMORA_SIZE_CHECK(x().size() == A().size2());
    REMORA_SIZE_CHECK(y().size() == A().size1());
 
    CBLAS_ORDER const stor_ord= (CBLAS_ORDER)storage_order<typename MatA::orientation>::value;
    
    auto storageA = A().raw_storage();
    auto storagex = x().raw_storage();
    auto storagey = y().raw_storage();
    gemv(stor_ord, CblasNoTrans, (int)m, (int)n, alpha,
        storageA.values,
            storageA.leading_dimension,
        storagex.values,
            storagex.stride,
            typename VectorY::value_type(1),
        storagey.values,
            storagey.stride
    );
}
 
template<class M, class V1, class V2>
struct has_optimized_gemv: std::integral_constant<bool,
    allowed_cblas_type<typename M::value_type>::type::value
    && std::is_same<typename M::value_type, typename V1::value_type>::value
    && std::is_same<typename V1::value_type, typename V2::value_type>::value
    && std::is_base_of<dense_tag, typename M::storage_type::storage_tag>::value
    && std::is_base_of<dense_tag, typename V1::storage_type::storage_tag>::value 
    && std::is_base_of<dense_tag, typename V2::storage_type::storage_tag>::value 
>{};
 
}}
#endif