cpu_m_reduce.hpp

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#ifndef SPLA_CPU_M_REDUCE_HPP
#define SPLA_CPU_M_REDUCE_HPP
 
#include <schedule/schedule_tasks.hpp>
 
#include <core/dispatcher.hpp>
#include <core/registry.hpp>
#include <core/tmatrix.hpp>
#include <core/top.hpp>
#include <core/tscalar.hpp>
#include <core/ttype.hpp>
#include <core/tvector.hpp>
 
#include <algorithm>
 
namespace spla {
 
    template<typename T>
    class Algo_m_reduce_cpu final : public RegistryAlgo {
    public:
        ~Algo_m_reduce_cpu() override = default;
 
        std::string get_name() override {
            return "m_reduce";
        }
 
        std::string get_description() override {
            return "reduce matrix on cpu sequentially";
        }
 
        Status execute(const DispatchContext& ctx) override {
            auto t = ctx.task.template cast_safe<ScheduleTask_m_reduce>();
            auto M = t->M.template cast_safe<TMatrix<T>>();
 
            if (M->is_valid(FormatMatrix::CpuCsr)) {
                return execute_csr(ctx);
            }
            if (M->is_valid(FormatMatrix::CpuLil)) {
                return execute_lil(ctx);
            }
            if (M->is_valid(FormatMatrix::CpuDok)) {
                return execute_dok(ctx);
            }
 
            return execute_csr(ctx);
        }
 
    private:
        Status execute_dok(const DispatchContext& ctx) {
            TIME_PROFILE_SCOPE("cpu/m_reduce_dok");
 
            auto t = ctx.task.template cast_safe<ScheduleTask_m_reduce>();
 
            ref_ptr<TScalar<T>>         r         = t->r.template cast_safe<TScalar<T>>();
            ref_ptr<TScalar<T>>         s         = t->s.template cast_safe<TScalar<T>>();
            ref_ptr<TMatrix<T>>         M         = t->M.template cast_safe<TMatrix<T>>();
            ref_ptr<TOpBinary<T, T, T>> op_reduce = t->op_reduce.template cast_safe<TOpBinary<T, T, T>>();
 
            M->validate_rw(FormatMatrix::CpuDok);
 
            const CpuDok<T>* p_dok_M     = M->template get<CpuDok<T>>();
            auto&            func_reduce = op_reduce->function;
 
            T result = s->get_value();
 
            for (const auto& entry : p_dok_M->Ax) {
                result = func_reduce(result, entry.second);
            }
 
            r->get_value() = result;
 
            return Status::Ok;
        }
 
        Status execute_lil(const DispatchContext& ctx) {
            TIME_PROFILE_SCOPE("cpu/m_reduce_lil");
 
            auto t = ctx.task.template cast_safe<ScheduleTask_m_reduce>();
 
            ref_ptr<TScalar<T>>         r         = t->r.template cast_safe<TScalar<T>>();
            ref_ptr<TScalar<T>>         s         = t->s.template cast_safe<TScalar<T>>();
            ref_ptr<TMatrix<T>>         M         = t->M.template cast_safe<TMatrix<T>>();
            ref_ptr<TOpBinary<T, T, T>> op_reduce = t->op_reduce.template cast_safe<TOpBinary<T, T, T>>();
 
            M->validate_rw(FormatMatrix::CpuLil);
 
            const CpuLil<T>* p_lil_M     = M->template get<CpuLil<T>>();
            auto&            func_reduce = op_reduce->function;
 
            T result = s->get_value();
 
            for (const auto& row : p_lil_M->Ar) {
                for (const auto& entry : row) {
                    result = func_reduce(result, entry.second);
                }
            }
 
            r->get_value() = result;
 
            return Status::Ok;
        }
 
        Status execute_csr(const DispatchContext& ctx) {
            TIME_PROFILE_SCOPE("cpu/m_reduce_csr");
 
            auto t = ctx.task.template cast_safe<ScheduleTask_m_reduce>();
 
            ref_ptr<TScalar<T>>         r         = t->r.template cast_safe<TScalar<T>>();
            ref_ptr<TScalar<T>>         s         = t->s.template cast_safe<TScalar<T>>();
            ref_ptr<TMatrix<T>>         M         = t->M.template cast_safe<TMatrix<T>>();
            ref_ptr<TOpBinary<T, T, T>> op_reduce = t->op_reduce.template cast_safe<TOpBinary<T, T, T>>();
 
            M->validate_rw(FormatMatrix::CpuCsr);
 
            const CpuCsr<T>* p_csr_M     = M->template get<CpuCsr<T>>();
            auto&            func_reduce = op_reduce->function;
 
            T result = s->get_value();
 
            for (const auto v : p_csr_M->Ax) {
                result = func_reduce(result, v);
            }
 
            r->get_value() = result;
 
            return Status::Ok;
        }
    };
 
}// namespace spla
 
#endif//SPLA_CPU_M_REDUCE_HPP