trmm.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_TRMM_HPP
#define REMORA_KERNELS_CBLAS_TRMM_HPP
 
#include "cblas_inc.hpp"
#include <type_traits>
 
namespace remora{namespace bindings {
 
inline void trmm(
    CBLAS_ORDER const order,
    CBLAS_SIDE const side,
    CBLAS_UPLO const uplo,
    CBLAS_TRANSPOSE const transA,
    CBLAS_DIAG const unit,
    int const M,
    int const N,
    float const *A, int const lda,
        float* B, int const incB
) {
    cblas_strmm(order, side, uplo, transA, unit, M, N, 
        1.0,
        A, lda,
            B, incB
    );
}
 
inline void trmm(
    CBLAS_ORDER const order,
    CBLAS_SIDE const side,
    CBLAS_UPLO const uplo,
    CBLAS_TRANSPOSE const transA,
    CBLAS_DIAG const unit,
    int const M,
    int const N,
    double const *A, int const lda,
        double* B, int const incB
) {
    cblas_dtrmm(order, side, uplo, transA, unit, M, N, 
        1.0,
        A, lda,
            B, incB
    );
}
 
 
inline void trmm(
    CBLAS_ORDER const order,
    CBLAS_SIDE const side,
    CBLAS_UPLO const uplo,
    CBLAS_TRANSPOSE const transA,
    CBLAS_DIAG const unit,
    int const M,
    int const N,
    std::complex<float> const *A, int const lda,
        std::complex<float>* B, int const incB
) {
    std::complex<float> alpha = 1.0;
    cblas_ctrmm(order, side, uplo, transA, unit, M, N, 
        reinterpret_cast<cblas_float_complex_type const *>(&alpha),
        reinterpret_cast<cblas_float_complex_type const *>(A), lda,
            reinterpret_cast<cblas_float_complex_type *>(B), incB
    );
}
 
inline void trmm(
    CBLAS_ORDER const order,
    CBLAS_SIDE const side,
    CBLAS_UPLO const uplo,
    CBLAS_TRANSPOSE const transA,
    CBLAS_DIAG const unit,
    int const M,
    int const N,
    std::complex<double> const *A, int const lda,
        std::complex<double>* B, int const incB
) {
    std::complex<double> alpha = 1.0;
    cblas_ztrmm(order, side, uplo, transA, unit, M, N, 
        reinterpret_cast<cblas_double_complex_type const *>(&alpha),
        reinterpret_cast<cblas_double_complex_type const *>(A), lda,
            reinterpret_cast<cblas_double_complex_type *>(B), incB
    );
}
 
template <bool upper, bool unit, typename MatA, typename MatB>
void trmm(
    matrix_expression<MatA, cpu_tag> const& A,
    matrix_expression<MatB, cpu_tag>& B,
    std::true_type
){
    REMORA_SIZE_CHECK(A().size1() == A().size2());
    REMORA_SIZE_CHECK(A().size2() == B().size1());
    std::size_t n = A().size1();
    std::size_t m = B().size2();
    CBLAS_DIAG cblasUnit = unit?CblasUnit:CblasNonUnit;
    CBLAS_UPLO cblasUplo = upper?CblasUpper:CblasLower;
    CBLAS_ORDER stor_ord= (CBLAS_ORDER)storage_order<typename MatA::orientation>::value;
    CBLAS_TRANSPOSE trans=CblasNoTrans;
    
    //special case: MatA and MatB do not have same storage order. in this case compute as
    //AB->B^TA^T where transpose of B is done implicitely by exchanging storage order
    CBLAS_ORDER stor_ordB= (CBLAS_ORDER)storage_order<typename MatB::orientation>::value;
    if(stor_ord != stor_ordB){
        trans = CblasTrans;
        cblasUplo=  upper?CblasLower:CblasUpper;
    }
    
    auto storageA = A().raw_storage();
    auto storageB = B().raw_storage();
    trmm(stor_ordB, CblasLeft, cblasUplo, trans, cblasUnit,
        (int)n, int(m),
        storageA.values,
            storageA.leading_dimension,
        storageB.values,
            storageB.leading_dimension
    );
}
 
 
template<class M1, class M2>
struct has_optimized_trmm: std::integral_constant<bool,
    allowed_cblas_type<typename M1::value_type>::type::value
    && std::is_same<typename M1::value_type, typename M2::value_type>::value
    && std::is_base_of<dense_tag, typename M1::storage_type::storage_tag>::value
    && std::is_base_of<dense_tag, typename M2::storage_type::storage_tag>::value 
>{};
 
}}
#endif