mtx_io.hpp

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#ifndef GKO_CORE_BASE_MTX_IO_HPP_
#define GKO_CORE_BASE_MTX_IO_HPP_


#include <istream>


#include <ginkgo/core/base/matrix_data.hpp>


namespace gko {


template <typename ValueType = default_precision, typename IndexType = int32>
matrix_data<ValueType, IndexType> read_raw(std::istream &is);


enum class layout_type {
    array,
    coordinate
};


template <typename ValueType, typename IndexType>
void write_raw(std::ostream &os, const matrix_data<ValueType, IndexType> &data,
               layout_type layout = layout_type::array);


template <typename MatrixType, typename StreamType, typename... MatrixArgs>
inline std::unique_ptr<MatrixType> read(StreamType &&is, MatrixArgs &&... args)
{
    auto mtx = MatrixType::create(std::forward<MatrixArgs>(args)...);
    mtx->read(read_raw<typename MatrixType::value_type,
                       typename MatrixType::index_type>(is));
    return mtx;
}


template <typename MatrixType, typename StreamType>
inline void write(StreamType &&os, MatrixType *matrix,
                  layout_type layout = layout_type::array)
{
    matrix_data<typename MatrixType::value_type,
                typename MatrixType::index_type>
        data{};
    matrix->write(data);
    write_raw(os, data, layout);
}


}  // namespace gko


#endif  // GKO_CORE_BASE_MTX_IO_HPP_