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#ifndef HIPCUB_ROCPRIM_DEVICE_PARTITION_HPP_
#define HIPCUB_ROCPRIM_DEVICE_PARTITION_HPP_

#include "../config.hpp"

#include <cub/rocprim/device/device_partition.hpp>

BEGIN_HIPCUB_NAMESPACE

struct DevicePartition
{
    template <
        typename                    InputIteratorT,
        typename                    FlagIterator,
        typename                    OutputIteratorT,
        typename                    NumSelectedIteratorT>
    HIPCUB_RUNTIME_FUNCTION __forceinline__
    static cudaError_t Flagged(
        void*                       d_temp_storage,                 ///< [in] %Device-accessible allocation of temporary storage.  When NULL, the required allocation size is written to \p temp_storage_bytes and no work is done.
        size_t                      &temp_storage_bytes,            ///< [in,out] Reference to size in bytes of \p d_temp_storage allocation
        InputIteratorT              d_in,                           ///< [in] Pointer to the input sequence of data items
        FlagIterator                d_flags,                        ///< [in] Pointer to the input sequence of selection flags
        OutputIteratorT             d_out,                          ///< [out] Pointer to the output sequence of partitioned data items
        NumSelectedIteratorT        d_num_selected_out,             ///< [out] Pointer to the output total number of items selected (i.e., the offset of the unselected partition)
        int                         num_items,                      ///< [in] Total number of items to select from
        cudaStream_t                 stream             = 0,         ///< [in] <b>[optional]</b> hip stream to launch kernels within.  Default is stream<sub>0</sub>.
        bool                        debug_synchronous  = false)     ///< [in] <b>[optional]</b> Whether or not to synchronize the stream after every kernel launch to check for errors.  May cause significant slowdown.  Default is \p false.
    {
        return (cudaError_t)rocprim::partition(
            d_temp_storage,
            temp_storage_bytes,
            d_in,
            d_flags,
            d_out,
            d_num_selected_out,
            num_items,
            stream,
            debug_synchronous);
    }

    template <
        typename                    InputIteratorT,
        typename                    OutputIteratorT,
        typename                    NumSelectedIteratorT,
        typename                    SelectOp>
    HIPCUB_RUNTIME_FUNCTION __forceinline__
    static cudaError_t If(
        void*                       d_temp_storage,                 ///< [in] %Device-accessible allocation of temporary storage.  When NULL, the required allocation size is written to \p temp_storage_bytes and no work is done.
        size_t                      &temp_storage_bytes,            ///< [in,out] Reference to size in bytes of \p d_temp_storage allocation
        InputIteratorT              d_in,                           ///< [in] Pointer to the input sequence of data items
        OutputIteratorT             d_out,                          ///< [out] Pointer to the output sequence of partitioned data items
        NumSelectedIteratorT        d_num_selected_out,             ///< [out] Pointer to the output total number of items selected (i.e., the offset of the unselected partition)
        int                         num_items,                      ///< [in] Total number of items to select from
        SelectOp                    select_op,                      ///< [in] Unary selection operator
        cudaStream_t                 stream             = 0,         ///< [in] <b>[optional]</b> hip stream to launch kernels within.  Default is stream<sub>0</sub>.
        bool                        debug_synchronous  = false)     ///< [in] <b>[optional]</b> Whether or not to synchronize the stream after every kernel launch to check for errors.  May cause significant slowdown.  Default is \p false.
    {
        return (cudaError_t)rocprim::partition(
            d_temp_storage,
            temp_storage_bytes,
            d_in,
            d_out,
            d_num_selected_out,
            num_items,
            select_op,
            stream,
            debug_synchronous);
    }
    
    template <typename InputIteratorT,
              typename FirstOutputIteratorT,
              typename SecondOutputIteratorT,
              typename UnselectedOutputIteratorT,
              typename NumSelectedIteratorT,
              typename SelectFirstPartOp,
              typename SelectSecondPartOp>
    HIPCUB_RUNTIME_FUNCTION __forceinline__ static cudaError_t
    If(void *d_temp_storage,
       std::size_t &temp_storage_bytes,
       InputIteratorT d_in,
       FirstOutputIteratorT d_first_part_out,
       SecondOutputIteratorT d_second_part_out,
       UnselectedOutputIteratorT d_unselected_out,
       NumSelectedIteratorT d_num_selected_out,
       int num_items,
       SelectFirstPartOp select_first_part_op,
       SelectSecondPartOp select_second_part_op,
       cudaStream_t stream     = 0,
       bool debug_synchronous = false)
    {
        return (cudaError_t)rocprim::partition_three_way(
            d_temp_storage,
            temp_storage_bytes,
            d_in,
            d_first_part_out,
            d_second_part_out,
            d_unselected_out,
            d_num_selected_out,
            num_items,
            select_first_part_op,
            select_second_part_op,
            stream,
            debug_synchronous
        );
    }
};

END_HIPCUB_NAMESPACE

#endif