potrf.hpp

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//===========================================================================
/*!
 *
 *
 * \brief       -
 *
 * \author      O. Krause
 * \date        2011
 *
 *
 * \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_ATLAS_POTRF_H
#define REMORA_KERNELS_ATLAS_POTRF_H
 
#include "../cblas/cblas_inc.hpp"
extern "C"{
    #include <clapack.h>
}
 
namespace remora {
namespace bindings {
 
inline int potrf(
    CBLAS_ORDER const Order, CBLAS_UPLO const Uplo,
        int const N, float *A, int const lda
) {
    return clapack_spotrf(Order, Uplo, N, A, lda);
}
 
inline int potrf(
    CBLAS_ORDER const Order, CBLAS_UPLO const Uplo,
        int const N, double *A, int const lda
) {
    return clapack_dpotrf(Order, Uplo, N, A, lda);
}
 
inline int potrf(
    CBLAS_ORDER const Order, CBLAS_UPLO const Uplo,
        int const N, std::complex<float>* A, int const lda
) {
    return clapack_cpotrf(Order, Uplo, N, static_cast<void *>(A), lda);
}
 
inline int potrf(
    CBLAS_ORDER const Order, CBLAS_UPLO const Uplo,
        int const N, std::complex<double>* A, int const lda
) {
    return clapack_zpotrf(Order, Uplo, N, static_cast<void *>(A), lda);
}
 
template <typename Triangular, typename SymmA>
inline int potrf(
    matrix_container<SymmA, cpu_tag>& A,
    std::true_type
) {
    CBLAS_UPLO const uplo = Triangular::is_upper ? CblasUpper : CblasLower;
    CBLAS_ORDER const stor_ord =
        (CBLAS_ORDER)storage_order<typename SymmA::orientation>::value;
 
    std::size_t n = A().size1();
    REMORA_SIZE_CHECK(n == A().size2());
 
    auto storageA = A().raw_storage();
    return potrf(
        stor_ord, uplo, (int)n,
        storageA.values,
            storageA.leading_dimension
    );
}
 
template<class Storage, class T>
struct optimized_potrf_detail {
    typedef std::false_type type;
};
template<>
struct optimized_potrf_detail <
    dense_tag,
    double
> {
    typedef std::true_type type;
};
template<>
struct optimized_potrf_detail <
    dense_tag,
    float
> {
    typedef std::true_type type;
};
template<>
struct optimized_potrf_detail <
    dense_tag,
    std::complex<double>
> {
    typedef std::true_type type;
};
 
template<>
struct optimized_potrf_detail <
    dense_tag,
    std::complex<float>
> {
    typedef std::true_type type;
};
 
template<class M>
struct  has_optimized_potrf
    : public optimized_potrf_detail <
      typename M::storage_type::storage_tag,
      typename M::value_type
    > {};
}}
#endif