cpu_formats.hpp

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#ifndef SPLA_CPU_FORMATS_HPP
#define SPLA_CPU_FORMATS_HPP
 
#include <spla/config.hpp>
 
#include <core/tdecoration.hpp>
#include <util/pair_hash.hpp>
 
#include <robin_hood.hpp>
 
#include <algorithm>
#include <cassert>
#include <functional>
#include <numeric>
#include <string>
#include <unordered_map>
#include <utility>
#include <vector>
 
namespace spla {
 
    template<typename T>
    class CpuDokVec : public TDecoration<T> {
    public:
        static constexpr FormatVector FORMAT = FormatVector::CpuDok;
 
        ~CpuDokVec() override = default;
 
        using Reduce = std::function<T(T accum, T added)>;
 
        robin_hood::unordered_flat_map<uint, T> Ax{};
        Reduce                                  reduce = [](T, T a) { return a; };
    };
 
    template<typename T>
    class CpuDenseVec : public TDecoration<T> {
    public:
        static constexpr FormatVector FORMAT = FormatVector::CpuDense;
 
        ~CpuDenseVec() override = default;
 
        std::vector<T> Ax{};
    };
 
    template<typename T>
    class CpuCooVec : public TDecoration<T> {
    public:
        static constexpr FormatVector FORMAT = FormatVector::CpuCoo;
 
        ~CpuCooVec() override = default;
 
        std::vector<uint> Ai;
        std::vector<T>    Ax;
    };
 
    template<typename T>
    class CpuLil : public TDecoration<T> {
    public:
        static constexpr FormatMatrix FORMAT = FormatMatrix::CpuLil;
 
        ~CpuLil() override = default;
 
        using Entry  = std::pair<uint, T>;
        using Row    = std::vector<Entry>;
        using Reduce = std::function<T(T accum, T added)>;
 
        std::vector<Row> Ar{};
        Reduce           reduce = [](T, T a) { return a; };
    };
 
    template<typename T>
    class CpuDok : public TDecoration<T> {
    public:
        static constexpr FormatMatrix FORMAT = FormatMatrix::CpuDok;
 
        ~CpuDok() override = default;
 
        using Key    = std::pair<uint, uint>;
        using Reduce = std::function<T(T accum, T added)>;
 
        robin_hood::unordered_flat_map<Key, T, pair_hash> Ax;
        Reduce                                            reduce = [](T, T a) { return a; };
    };
 
    template<typename T>
    class CpuCoo : public TDecoration<T> {
    public:
        static constexpr FormatMatrix FORMAT = FormatMatrix::CpuCoo;
 
        ~CpuCoo() override = default;
 
        std::vector<uint> Ai;
        std::vector<uint> Aj;
        std::vector<T>    Ax;
    };
 
    template<typename T>
    class CpuCsr : public TDecoration<T> {
    public:
        static constexpr FormatMatrix FORMAT = FormatMatrix::CpuCsr;
 
        ~CpuCsr() override = default;
 
        std::vector<uint> Ap;
        std::vector<uint> Aj;
        std::vector<T>    Ax;
    };
 
}// namespace spla
 
#endif//SPLA_CPU_FORMATS_HPP