gemm.hpp

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//===========================================================================
/*!
 * 
 *
 * \brief       -
 *
 * \author      O. Krause
 * \date        2017
 *
 *
 * \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_CLBLAST_GEMM_HPP
#define REMORA_KERNELS_CLBLAST_GEMM_HPP
 
#include "../../expression_types.hpp"
#include "../../detail/traits.hpp"
#include <clblast.h>
namespace remora{ namespace kernels{
 
// C <- alpha * A * B + beta * C
template <typename MatA, typename MatB, typename MatC>
void gemm(
    matrix_expression<MatA, gpu_tag> const& A,
    matrix_expression<MatB, gpu_tag> const& B,
    matrix_expression<MatC, gpu_tag>& C, 
    typename MatC::value_type const& alpha
) {
    REMORA_SIZE_CHECK(A().size1() == C().size1());
    REMORA_SIZE_CHECK(B().size2() == C().size2());
    REMORA_SIZE_CHECK(A().size2()== B().size1());
    
    static_assert(std::is_same<typename MatA::value_type, typename MatC::value_type>::value, "[gemm] Arguments do not have same element type");
    static_assert(std::is_same<typename MatA::value_type, typename MatB::value_type>::value, "[gemm] Arguments do not have same element type");
    static_assert(std::is_same<typename MatA::evaluation_category::tag, dense_tag>::value, "[gemm] A is not dense");
    static_assert(std::is_same<typename MatB::evaluation_category::tag, dense_tag>::value, "[gemm] B is not dense");
    static_assert(std::is_base_of<dense_tag, typename MatC::storage_type::storage_tag>::value, "[gemm] C does not have dense storage layout");
    
    //pre-evaluate A and B into a temporary if necessary
    auto const& Aeval = eval_expression(A);
    auto const& Beval = eval_expression(B); 
    
    using namespace clblast;
    
    //obtain geometry information
    auto transA = std::is_same<typename MatA::orientation,typename MatC::orientation>::value? Transpose::kNo : Transpose::kYes;
    auto transB = std::is_same<typename MatB::orientation,typename MatC::orientation>::value? Transpose::kNo : Transpose::kYes;
    auto layout = std::is_same<typename MatC::orientation::orientation, row_major>::value? Layout::kRowMajor: Layout::kColMajor; 
    std::size_t m = C().size1();
    std::size_t n = C().size2();
    std::size_t k = A().size2();
 
    //obtain matrix storage
    auto storageA = Aeval.raw_storage();
    auto storageB = Beval.raw_storage();
    auto storageC = C().raw_storage();
    
    //call
    cl_event* event = nullptr;//todo: store events for out-of-order queues 
    auto code =  Gemm(layout, transA, transB,
                m, n , k,
                alpha,
        storageA.buffer.get(), storageA.offset, storageA.leading_dimension,
        storageB.buffer.get(), storageB.offset, storageB.leading_dimension,
                typename MatC::value_type(1),
        storageC.buffer.get(), storageC.offset, storageC.leading_dimension,
                &C().queue().get(), event
    );
        
    assert(code == StatusCode::kSuccess);
}
 
}}
 
#endif