cpu_v_assign.hpp

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#ifndef SPLA_CPU_V_ASSIGN_HPP
#define SPLA_CPU_V_ASSIGN_HPP
 
#include <schedule/schedule_tasks.hpp>
 
#include <core/dispatcher.hpp>
#include <core/registry.hpp>
#include <core/top.hpp>
#include <core/tscalar.hpp>
#include <core/ttype.hpp>
#include <core/tvector.hpp>
 
namespace spla {
 
    template<typename T>
    class Algo_v_assign_masked_cpu final : public RegistryAlgo {
    public:
        ~Algo_v_assign_masked_cpu() override = default;
 
        std::string get_name() override {
            return "v_assign_masked";
        }
 
        std::string get_description() override {
            return "sequential masked vector assignment";
        }
 
        Status execute(const DispatchContext& ctx) override {
            auto                t    = ctx.task.template cast_safe<ScheduleTask_v_assign_masked>();
            ref_ptr<TVector<T>> mask = t->mask.template cast_safe<TVector<T>>();
 
            if (mask->is_valid(FormatVector::CpuCoo))
                return execute_sp2dn(ctx);
            if (mask->is_valid(FormatVector::CpuDense))
                return execute_dn2dn(ctx);
 
            return execute_sp2dn(ctx);
        }
 
    private:
        Status execute_sp2dn(const DispatchContext& ctx) {
            TIME_PROFILE_SCOPE("cpu/vector_assign_sparse2dense");
 
            auto t = ctx.task.template cast_safe<ScheduleTask_v_assign_masked>();
 
            auto r         = t->r.template cast_safe<TVector<T>>();
            auto mask      = t->mask.template cast_safe<TVector<T>>();
            auto value     = t->value.template cast_safe<TScalar<T>>();
            auto op_assign = t->op_assign.template cast_safe<TOpBinary<T, T, T>>();
            auto op_select = t->op_select.template cast_safe<TOpSelect<T>>();
 
            auto assign_value = value->get_value();
 
            r->validate_rwd(FormatVector::CpuDense);
            mask->validate_rw(FormatVector::CpuCoo);
 
            auto*       p_r_dense     = r->template get<CpuDenseVec<T>>();
            const auto* p_mask_sparse = mask->template get<CpuCooVec<T>>();
            const auto& func_assign   = op_assign->function;
            const auto& func_select   = op_select->function;
 
            uint N = p_mask_sparse->values;
 
            for (uint idx = 0; idx < N; ++idx) {
                uint i = p_mask_sparse->Ai[idx];
                auto x = p_mask_sparse->Ax[idx];
                if (func_select(x)) {
                    p_r_dense->Ax[i] = func_assign(p_r_dense->Ax[i], assign_value);
                }
            }
 
            return Status::Ok;
        }
 
        Status execute_dn2dn(const DispatchContext& ctx) {
            TIME_PROFILE_SCOPE("cpu/vector_assign_dense2dense");
 
            auto t = ctx.task.template cast_safe<ScheduleTask_v_assign_masked>();
 
            auto r         = t->r.template cast_safe<TVector<T>>();
            auto mask      = t->mask.template cast_safe<TVector<T>>();
            auto value     = t->value.template cast_safe<TScalar<T>>();
            auto op_assign = t->op_assign.template cast_safe<TOpBinary<T, T, T>>();
            auto op_select = t->op_select.template cast_safe<TOpSelect<T>>();
 
            auto assign_value = value->get_value();
 
            r->validate_rwd(FormatVector::CpuDense);
            mask->validate_rw(FormatVector::CpuDense);
 
            auto*       p_r_dense    = r->template get<CpuDenseVec<T>>();
            const auto* p_mask_dense = mask->template get<CpuDenseVec<T>>();
            const auto& func_assign  = op_assign->function;
            const auto& func_select  = op_select->function;
 
            uint N = r->get_n_rows();
 
            for (uint i = 0; i < N; ++i) {
                if (func_select(p_mask_dense->Ax[i])) {
                    p_r_dense->Ax[i] = func_assign(p_r_dense->Ax[i], assign_value);
                }
            }
 
            return Status::Ok;
        }
    };
 
}// namespace spla
 
#endif//SPLA_CPU_V_ASSIGN_HPP