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 * modification, are permitted provided that the following conditions are met:
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/**
 * \file
 * cub::BlockScanRaking provides variants of raking-based parallel prefix scan across a CUDA threadblock.
 */

#pragma once

#include "../../util_ptx.cuh"
#include "../../util_arch.cuh"
#include "../../block/block_raking_layout.cuh"
#include "../../thread/thread_reduce.cuh"
#include "../../thread/thread_scan.cuh"
#include "../../warp/warp_scan.cuh"
#include "../../util_namespace.cuh"

/// Optional outer namespace(s)
CUB_NS_PREFIX

/// CUB namespace
namespace cub {


/**
 * \brief BlockScanRaking provides variants of raking-based parallel prefix scan across a CUDA threadblock.
 */
template <
    typename    T,              ///< Data type being scanned
    int         BLOCK_DIM_X,    ///< The thread block length in threads along the X dimension
    int         BLOCK_DIM_Y,    ///< The thread block length in threads along the Y dimension
    int         BLOCK_DIM_Z,    ///< The thread block length in threads along the Z dimension
    bool        MEMOIZE,        ///< Whether or not to buffer outer raking scan partials to incur fewer shared memory reads at the expense of higher register pressure
    int         PTX_ARCH>       ///< The PTX compute capability for which to to specialize this collective
struct BlockScanRaking
{
    /// Constants
    enum
    {
        /// The thread block size in threads
        BLOCK_THREADS = BLOCK_DIM_X * BLOCK_DIM_Y * BLOCK_DIM_Z,
    };

    /// Layout type for padded threadblock raking grid
    typedef BlockRakingLayout<T, BLOCK_THREADS, PTX_ARCH> BlockRakingLayout;

    /// Constants
    enum
    {
        /// Number of raking threads
        RAKING_THREADS = BlockRakingLayout::RAKING_THREADS,

        /// Number of raking elements per warp synchronous raking thread
        SEGMENT_LENGTH = BlockRakingLayout::SEGMENT_LENGTH,

        /// Cooperative work can be entirely warp synchronous
        WARP_SYNCHRONOUS = (BLOCK_THREADS == RAKING_THREADS),
    };

    ///  WarpScan utility type
    typedef WarpScan<T, RAKING_THREADS, PTX_ARCH> WarpScan;

    /// Shared memory storage layout type
    struct _TempStorage
    {
        typename WarpScan::TempStorage              warp_scan;          ///< Buffer for warp-synchronous scan
        typename BlockRakingLayout::TempStorage     raking_grid;        ///< Padded threadblock raking grid
        T                                           block_aggregate;    ///< Block aggregate
    };


    /// Alias wrapper allowing storage to be unioned
    struct TempStorage : Uninitialized<_TempStorage> {};


    // Thread fields
    _TempStorage    &temp_storage;
    int             linear_tid;
    T               cached_segment[SEGMENT_LENGTH];


    /// Constructor
    __device__ __forceinline__ BlockScanRaking(
        TempStorage &temp_storage)
    :
        temp_storage(temp_storage.Alias()),
        linear_tid(RowMajorTid(BLOCK_DIM_X, BLOCK_DIM_Y, BLOCK_DIM_Z))
    {}


    /// Templated reduction
    template <int ITERATION, typename ScanOp>
    __device__ __forceinline__ T GuardedReduce(
        T*                  raking_ptr,         ///< [in] Input array
        ScanOp              scan_op,            ///< [in] Binary reduction operator
        T                   raking_partial,     ///< [in] Prefix to seed reduction with
        Int2Type<ITERATION> iteration)
    {
        if ((BlockRakingLayout::UNGUARDED) || (((linear_tid * SEGMENT_LENGTH) + ITERATION) < BLOCK_THREADS))
        {
            T addend = raking_ptr[ITERATION];
            raking_partial = scan_op(raking_partial, addend);
        }

        return GuardedReduce(raking_ptr, scan_op, raking_partial, Int2Type<ITERATION + 1>());
    }


    /// Templated reduction (base case)
    template <typename ScanOp>
    __device__ __forceinline__ T GuardedReduce(
        T*                          raking_ptr,        ///< [in] Input array
        ScanOp                      scan_op,           ///< [in] Binary reduction operator
        T                           raking_partial,    ///< [in] Prefix to seed reduction with
        Int2Type<SEGMENT_LENGTH>    iteration)
    {
        return raking_partial;
    }


    /// Templated copy
    template <int ITERATION>
    __device__ __forceinline__ void CopySegment(
        T*                  out,            ///< [out] Out array
        T*                  in,             ///< [in] Input array
        Int2Type<ITERATION> iteration)
    {
        out[ITERATION] = in[ITERATION];
        CopySegment(out, in, Int2Type<ITERATION + 1>());
    }

 
    /// Templated copy (base case)
    __device__ __forceinline__ void CopySegment(
        T*                  out,            ///< [out] Out array
        T*                  in,             ///< [in] Input array
        Int2Type<SEGMENT_LENGTH> iteration)
    {}


    /// Performs upsweep raking reduction, returning the aggregate
    template <typename ScanOp>
    __device__ __forceinline__ T Upsweep(
        ScanOp scan_op)
    {
        T *smem_raking_ptr = BlockRakingLayout::RakingPtr(temp_storage.raking_grid, linear_tid);

        // Read data into registers
        CopySegment(cached_segment, smem_raking_ptr, Int2Type<0>());

        T raking_partial = cached_segment[0];

        return GuardedReduce(cached_segment, scan_op, raking_partial, Int2Type<1>());
    }


    /// Performs exclusive downsweep raking scan
    template <typename ScanOp>
    __device__ __forceinline__ void ExclusiveDownsweep(
        ScanOp          scan_op,
        T               raking_partial,
        bool            apply_prefix = true)
    {
        T *smem_raking_ptr = BlockRakingLayout::RakingPtr(temp_storage.raking_grid, linear_tid);

        // Read data back into registers
        if (!MEMOIZE)
        {
            CopySegment(cached_segment, smem_raking_ptr, Int2Type<0>());
        }

        ThreadScanExclusive(cached_segment, cached_segment, scan_op, raking_partial, apply_prefix);

        // Write data back to smem
        CopySegment(smem_raking_ptr, cached_segment, Int2Type<0>());
    }


    /// Performs inclusive downsweep raking scan
    template <typename ScanOp>
    __device__ __forceinline__ void InclusiveDownsweep(
        ScanOp          scan_op,
        T               raking_partial,
        bool            apply_prefix = true)
    {
        T *smem_raking_ptr = BlockRakingLayout::RakingPtr(temp_storage.raking_grid, linear_tid);

        // Read data back into registers
        if (!MEMOIZE)
        {
            CopySegment(cached_segment, smem_raking_ptr, Int2Type<0>());
        }

        ThreadScanInclusive(cached_segment, cached_segment, scan_op, raking_partial, apply_prefix);

        // Write data back to smem
        CopySegment(smem_raking_ptr, cached_segment, Int2Type<0>());
    }


    /// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    template <typename ScanOp>
    __device__ __forceinline__ void ExclusiveScan(
        T               input,              ///< [in] Calling thread's input items
        T               &output,            ///< [out] Calling thread's output items (may be aliased to \p input)
        const T         &identity,          ///< [in] Identity value
        ScanOp          scan_op,            ///< [in] Binary scan operator
        T               &block_aggregate)   ///< [out] Threadblock-wide aggregate reduction of input items
    {

        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).ExclusiveScan(
                input,
                output,
                identity,
                scan_op,
                block_aggregate);
        }
        else
        {
            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveScan(
                    raking_partial,
                    raking_partial,
                    identity,
                    scan_op,
                    temp_storage.block_aggregate);

                // Exclusive raking downsweep scan
                ExclusiveDownsweep(scan_op, raking_partial);
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  the call-back functor \p block_prefix_callback_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    template <
        typename        ScanOp,
        typename        BlockPrefixCallbackOp>
    __device__ __forceinline__ void ExclusiveScan(
        T                       input,                          ///< [in] Calling thread's input item
        T                       &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        T                       identity,                       ///< [in] Identity value
        ScanOp                  scan_op,                        ///< [in] Binary scan operator
        T                       &block_aggregate,               ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_callback_op value)
        BlockPrefixCallbackOp   &block_prefix_callback_op)      ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).ExclusiveScan(
                input,
                output,
                identity,
                scan_op,
                block_aggregate,
                block_prefix_callback_op);
        }
        else
        {
            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveScan(
                    raking_partial,
                    raking_partial,
                    identity,
                    scan_op,
                    temp_storage.block_aggregate,
                    block_prefix_callback_op);

                // Exclusive raking downsweep scan
                ExclusiveDownsweep(scan_op, raking_partial);
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  Also provides every thread with the block-wide \p block_aggregate of all inputs.  With no identity value, the output computed for <em>thread</em><sub>0</sub> is undefined.
    template <typename ScanOp>
    __device__ __forceinline__ void ExclusiveScan(
        T               input,                          ///< [in] Calling thread's input item
        T               &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        ScanOp          scan_op,                        ///< [in] Binary scan operator
        T               &block_aggregate)               ///< [out] Threadblock-wide aggregate reduction of input items
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).ExclusiveScan(
                input,
                output,
                scan_op,
                block_aggregate);
        }
        else
        {
            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveScan(
                    raking_partial,
                    raking_partial,
                    scan_op,
                    temp_storage.block_aggregate);

                // Exclusive raking downsweep scan
                ExclusiveDownsweep(scan_op, raking_partial, (linear_tid != 0));
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an exclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  the call-back functor \p block_prefix_callback_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    template <
        typename ScanOp,
        typename BlockPrefixCallbackOp>
    __device__ __forceinline__ void ExclusiveScan(
        T                       input,                          ///< [in] Calling thread's input item
        T                       &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        ScanOp                  scan_op,                        ///< [in] Binary scan operator
        T                       &block_aggregate,               ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_callback_op value)
        BlockPrefixCallbackOp   &block_prefix_callback_op)      ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).ExclusiveScan(
                input,
                output,
                scan_op,
                block_aggregate,
                block_prefix_callback_op);
        }
        else
        {
            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveScan(
                    raking_partial,
                    raking_partial,
                    scan_op,
                    temp_storage.block_aggregate,
                    block_prefix_callback_op);

                // Exclusive raking downsweep scan
                ExclusiveDownsweep(scan_op, raking_partial);
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an exclusive threadblock-wide prefix scan using addition (+) as the scan operator.  Each thread contributes one input element.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    __device__ __forceinline__ void ExclusiveSum(
        T               input,                          ///< [in] Calling thread's input item
        T               &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        T               &block_aggregate)               ///< [out] Threadblock-wide aggregate reduction of input items
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).ExclusiveSum(
                input,
                output,
                block_aggregate);
        }
        else
        {
            // Raking scan
            Sum scan_op;

            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveSum(
                    raking_partial,
                    raking_partial,
                    temp_storage.block_aggregate);

                // Exclusive raking downsweep scan
                ExclusiveDownsweep(scan_op, raking_partial);
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an exclusive threadblock-wide prefix scan using addition (+) as the scan operator.  Each thread contributes one input element.  Instead of using 0 as the threadblock-wide prefix, the call-back functor \p block_prefix_callback_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    template <typename BlockPrefixCallbackOp>
    __device__ __forceinline__ void ExclusiveSum(
        T                       input,                          ///< [in] Calling thread's input item
        T                       &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        T                       &block_aggregate,               ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_callback_op value)
        BlockPrefixCallbackOp   &block_prefix_callback_op)      ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).ExclusiveSum(
                input,
                output,
                block_aggregate,
                block_prefix_callback_op);
        }
        else
        {
            // Raking scan
            Sum scan_op;

            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveSum(
                    raking_partial,
                    raking_partial,
                    temp_storage.block_aggregate,
                    block_prefix_callback_op);

                // Exclusive raking downsweep scan
                ExclusiveDownsweep(scan_op, raking_partial);
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    template <typename ScanOp>
    __device__ __forceinline__ void InclusiveScan(
        T               input,                          ///< [in] Calling thread's input item
        T               &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        ScanOp          scan_op,                        ///< [in] Binary scan operator
        T               &block_aggregate)               ///< [out] Threadblock-wide aggregate reduction of input items
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).InclusiveScan(
                input,
                output,
                scan_op,
                block_aggregate);
        }
        else
        {
            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveScan(
                    raking_partial,
                    raking_partial,
                    scan_op,
                    temp_storage.block_aggregate);

                // Inclusive raking downsweep scan
                InclusiveDownsweep(scan_op, raking_partial, (linear_tid != 0));
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  the call-back functor \p block_prefix_callback_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    template <
        typename ScanOp,
        typename BlockPrefixCallbackOp>
    __device__ __forceinline__ void InclusiveScan(
        T                       input,                          ///< [in] Calling thread's input item
        T                       &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        ScanOp                  scan_op,                        ///< [in] Binary scan operator
        T                       &block_aggregate,               ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_callback_op value)
        BlockPrefixCallbackOp   &block_prefix_callback_op)      ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).InclusiveScan(
                input,
                output,
                scan_op,
                block_aggregate,
                block_prefix_callback_op);
        }
        else
        {
            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveScan(
                    raking_partial,
                    raking_partial,
                    scan_op,
                    temp_storage.block_aggregate,
                    block_prefix_callback_op);

                // Inclusive raking downsweep scan
                InclusiveDownsweep(scan_op, raking_partial);
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    __device__ __forceinline__ void InclusiveSum(
        T               input,                          ///< [in] Calling thread's input item
        T               &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        T               &block_aggregate)               ///< [out] Threadblock-wide aggregate reduction of input items
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).InclusiveSum(
                input,
                output,
                block_aggregate);
        }
        else
        {
            // Raking scan
            Sum scan_op;

            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Exclusive warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveSum(
                    raking_partial,
                    raking_partial,
                    temp_storage.block_aggregate);

                // Inclusive raking downsweep scan
                InclusiveDownsweep(scan_op, raking_partial, (linear_tid != 0));
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }


    /// Computes an inclusive threadblock-wide prefix scan using the specified binary \p scan_op functor.  Each thread contributes one input element.  Instead of using 0 as the threadblock-wide prefix, the call-back functor \p block_prefix_callback_op is invoked by the first warp in the block, and the value returned by <em>lane</em><sub>0</sub> in that warp is used as the "seed" value that logically prefixes the threadblock's scan inputs.  Also provides every thread with the block-wide \p block_aggregate of all inputs.
    template <typename BlockPrefixCallbackOp>
    __device__ __forceinline__ void InclusiveSum(
        T                       input,                          ///< [in] Calling thread's input item
        T                       &output,                        ///< [out] Calling thread's output item (may be aliased to \p input)
        T                       &block_aggregate,               ///< [out] Threadblock-wide aggregate reduction of input items (exclusive of the \p block_prefix_callback_op value)
        BlockPrefixCallbackOp   &block_prefix_callback_op)      ///< [in-out] <b>[<em>warp</em><sub>0</sub> only]</b> Call-back functor for specifying a threadblock-wide prefix to be applied to all inputs.
    {
        if (WARP_SYNCHRONOUS)
        {
            // Short-circuit directly to warp scan
            WarpScan(temp_storage.warp_scan).InclusiveSum(
                input,
                output,
                block_aggregate,
                block_prefix_callback_op);
        }
        else
        {
            // Raking scan
            Sum scan_op;

            // Place thread partial into shared memory raking grid
            T *placement_ptr = BlockRakingLayout::PlacementPtr(temp_storage.raking_grid, linear_tid);
            *placement_ptr = input;

            __syncthreads();

            // Reduce parallelism down to just raking threads
            if (linear_tid < RAKING_THREADS)
            {
                // Raking upsweep reduction in grid
                T raking_partial = Upsweep(scan_op);

                // Warp synchronous scan
                WarpScan(temp_storage.warp_scan).ExclusiveSum(
                    raking_partial,
                    raking_partial,
                    temp_storage.block_aggregate,
                    block_prefix_callback_op);

                // Inclusive raking downsweep scan
                InclusiveDownsweep(scan_op, raking_partial);
            }

            __syncthreads();

            // Grab thread prefix from shared memory
            output = *placement_ptr;

            // Retrieve block aggregate
            block_aggregate = temp_storage.block_aggregate;
        }
    }

};


}               // CUB namespace
CUB_NS_POSTFIX  // Optional outer namespace(s)

