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#include "../util_type.cuh"
#include "../util_namespace.cuh"

/// Optional outer namespace(s)
CUB_NS_PREFIX

/// CUB namespace
namespace cub {

/**
 * \brief The BlockShuffle class provides [<em>collective</em>](index.html#sec0) methods for shuffling data partitioned across a CUDA thread block.
 * \ingroup BlockModule
 *
 * \tparam T                    The data type to be exchanged.
 * \tparam BLOCK_DIM_X          The thread block length in threads along the X dimension
 * \tparam BLOCK_DIM_Y          <b>[optional]</b> The thread block length in threads along the Y dimension (default: 1)
 * \tparam BLOCK_DIM_Z          <b>[optional]</b> The thread block length in threads along the Z dimension (default: 1)
 * \tparam PTX_ARCH             <b>[optional]</b> \ptxversion
 *
 * \par Overview
 * It is commonplace for blocks of threads to rearrange data items between
 * threads.  The BlockShuffle abstraction allows threads to efficiently shift items
 * either (a) up to their successor or (b) down to their predecessor.
 *
 */
template <
    typename            T,
    int                 BLOCK_DIM_X,
    int                 BLOCK_DIM_Y         = 1,
    int                 BLOCK_DIM_Z         = 1,
    int                 PTX_ARCH            = CUB_PTX_ARCH>
class BlockShuffle
{
private:

    /******************************************************************************
     * Constants
     ******************************************************************************/

    enum
    {
        BLOCK_THREADS               = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z,

        LOG_WARP_THREADS            = CUB_LOG_WARP_THREADS(PTX_ARCH),
        WARP_THREADS                = 1 << LOG_WARP_THREADS,
        WARPS                       = (BLOCK_THREADS + WARP_THREADS - 1) / WARP_THREADS,
    };

    /******************************************************************************
     * Type definitions
     ******************************************************************************/

    /// Shared memory storage layout type (last element from each thread's input)
    struct _TempStorage
    {
        T prev[BLOCK_THREADS];
        T next[BLOCK_THREADS];
    };


public:

    /// \smemstorage{BlockShuffle}
    struct TempStorage : Uninitialized<_TempStorage> {};

private:


    /******************************************************************************
     * Thread fields
     ******************************************************************************/

    /// Shared storage reference
    _TempStorage &temp_storage;

    /// Linear thread-id
    unsigned int linear_tid;


    /******************************************************************************
     * Utility methods
     ******************************************************************************/

    /// Internal storage allocator
    __device__ __forceinline__ _TempStorage& PrivateStorage()
    {
        __shared__ _TempStorage private_storage;
        return private_storage;
    }


public:

    /******************************************************************//**
     * \name Collective constructors
     *********************************************************************/
    //@{

    /**
     * \brief Collective constructor using a private static allocation of shared memory as temporary storage.
     */
    __device__ __forceinline__ BlockShuffle()
    :
        temp_storage(PrivateStorage()),
        linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
    {}


    /**
     * \brief Collective constructor using the specified memory allocation as temporary storage.
     */
    __device__ __forceinline__ BlockShuffle(
        TempStorage &temp_storage)             ///< [in] Reference to memory allocation having layout type TempStorage
    :
        temp_storage(temp_storage.Alias()),
        linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
    {}


    //@}  end member group
    /******************************************************************//**
     * \name Shuffle movement
     *********************************************************************/
    //@{


    /**
     * \brief Each <em>thread<sub>i</sub></em> obtains the \p input provided by <em>thread</em><sub><em>i</em>+<tt>distance</tt></sub>. The offset \p distance may be negative.
     *
     * \par
     * - \smemreuse
     */
    __device__ __forceinline__ void Offset(
        T   input,                  ///< [in] The input item from the calling thread (<em>thread<sub>i</sub></em>)
        T&  output,                 ///< [out] The \p input item from the successor (or predecessor) thread <em>thread</em><sub><em>i</em>+<tt>distance</tt></sub> (may be aliased to \p input).  This value is only updated for for <em>thread<sub>i</sub...
        int distance = 1)           ///< [in] Offset distance (may be negative)
    {
        temp_storage[linear_tid].prev = input;

        CTA_SYNC();

        if ((linear_tid + distance >= 0) && (linear_tid + distance < BLOCK_THREADS))
            output = temp_storage[linear_tid + distance].prev;
    }


    /**
     * \brief Each <em>thread<sub>i</sub></em> obtains the \p input provided by <em>thread</em><sub><em>i</em>+<tt>distance</tt></sub>.
     *
     * \par
     * - \smemreuse
     */