| /****************************************************************************** | |
| * Copyright (c) 2011, Duane Merrill. All rights reserved. | |
| * Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved. | |
| * | |
| * Redistribution and use in source and binary forms, with or without | |
| * modification, are permitted provided that the following conditions are met: | |
| * * Redistributions of source code must retain the above copyright | |
| * notice, this list of conditions and the following disclaimer. | |
| * * Redistributions in binary form must reproduce the above copyright | |
| * notice, this list of conditions and the following disclaimer in the | |
| * documentation and/or other materials provided with the distribution. | |
| * * Neither the name of the NVIDIA CORPORATION nor the | |
| * names of its contributors may be used to endorse or promote products | |
| * derived from this software without specific prior written permission. | |
| * | |
| * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND | |
| * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED | |
| * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | |
| * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY | |
| * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES | |
| * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; | |
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| * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS | |
| * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| * | |
| ******************************************************************************/ | |
| /** | |
| * @file | |
| * Thread utilities for sequential reduction over statically-sized array types | |
| */ | |
| #pragma once | |
| #include <cub/config.cuh> | |
| #if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC) | |
| # pragma GCC system_header | |
| #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG) | |
| # pragma clang system_header | |
| #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC) | |
| # pragma system_header | |
| #endif // no system header | |
| #include <cub/detail/type_traits.cuh> | |
| #include <cub/thread/thread_operators.cuh> | |
| CUB_NAMESPACE_BEGIN | |
| /// Internal namespace (to prevent ADL mishaps between static functions when mixing different CUB installations) | |
| namespace internal { | |
| /** | |
| * @brief Sequential reduction over statically-sized array types | |
| * | |
| * @param[in] input | |
| * Input array | |
| * | |
| * @param[in] reduction_op | |
| * Binary reduction operator | |
| * | |
| * @param[in] prefix | |
| * Prefix to seed reduction with | |
| */ | |
| template <int LENGTH, | |
| typename T, | |
| typename ReductionOp, | |
| typename PrefixT, | |
| typename AccumT = detail::accumulator_t<ReductionOp, PrefixT, T>> | |
| __device__ __forceinline__ AccumT | |
| ThreadReduce(T *input, ReductionOp reduction_op, PrefixT prefix, Int2Type<LENGTH> /*length*/) | |
| { | |
| AccumT retval = prefix; | |
| #pragma unroll | |
| for (int i = 0; i < LENGTH; ++i) | |
| retval = reduction_op(retval, input[i]); | |
| return retval; | |
| } | |
| /** | |
| * @brief Perform a sequential reduction over @p LENGTH elements of the @p input array, | |
| * seeded with the specified @p prefix. The aggregate is returned. | |
| * | |
| * @tparam LENGTH | |
| * LengthT of input array | |
| * | |
| * @tparam T | |
| * <b>[inferred]</b> The data type to be reduced. | |
| * | |
| * @tparam ReductionOp | |
| * <b>[inferred]</b> Binary reduction operator type having member | |
| * <tt>T operator()(const T &a, const T &b)</tt> | |
| * | |
| * @param[in] input | |
| * Input array | |
| * | |
| * @param[in] reduction_op | |
| * Binary reduction operator | |
| * | |
| * @param[in] prefix | |
| * Prefix to seed reduction with | |
| */ | |
| template <int LENGTH, | |
| typename T, | |
| typename ReductionOp, | |
| typename PrefixT, | |
| typename AccumT = detail::accumulator_t<ReductionOp, PrefixT, T>> | |
| __device__ __forceinline__ AccumT ThreadReduce(T *input, ReductionOp reduction_op, PrefixT prefix) | |
| { | |
| return ThreadReduce(input, reduction_op, prefix, Int2Type<LENGTH>()); | |
| } | |
| /** | |
| * @brief Perform a sequential reduction over @p LENGTH elements of the @p input array. | |
| * The aggregate is returned. | |
| * | |
| * @tparam LENGTH | |
| * LengthT of input array | |
| * | |
| * @tparam T | |
| * <b>[inferred]</b> The data type to be reduced. | |
| * | |
| * @tparam ReductionOp | |
| * <b>[inferred]</b> Binary reduction operator type having member | |
| * <tt>T operator()(const T &a, const T &b)</tt> | |
| * | |
| * @param[in] input | |
| * Input array | |
| * | |
| * @param[in] reduction_op | |
| * Binary reduction operator | |
| */ | |
| template <int LENGTH, typename T, typename ReductionOp> | |
| __device__ __forceinline__ T ThreadReduce(T *input, ReductionOp reduction_op) | |
| { | |
| T prefix = input[0]; | |
| return ThreadReduce<LENGTH - 1>(input + 1, reduction_op, prefix); | |
| } | |
| /** | |
| * @brief Perform a sequential reduction over the statically-sized @p input array, | |
| * seeded with the specified @p prefix. The aggregate is returned. | |
| * | |
| * @tparam LENGTH | |
| * <b>[inferred]</b> LengthT of @p input array | |
| * | |
| * @tparam T | |
| * <b>[inferred]</b> The data type to be reduced. | |
| * | |
| * @tparam ReductionOp | |
| * <b>[inferred]</b> Binary reduction operator type having member | |
| * <tt>T operator()(const T &a, const T &b)</tt> | |
| * | |
| * @param[in] input | |
| * Input array | |
| * | |
| * @param[in] reduction_op | |
| * Binary reduction operator | |
| * | |
| * @param[in] prefix | |
| * Prefix to seed reduction with | |
| */ | |
| template <int LENGTH, | |
| typename T, | |
| typename ReductionOp, | |
| typename PrefixT, | |
| typename AccumT = detail::accumulator_t<ReductionOp, PrefixT, T>> | |
| __device__ __forceinline__ AccumT ThreadReduce(T (&input)[LENGTH], | |
| ReductionOp reduction_op, | |
| PrefixT prefix) | |
| { | |
| return ThreadReduce(input, reduction_op, prefix, Int2Type<LENGTH>()); | |
| } | |
| /** | |
| * @brief Serial reduction with the specified operator | |
| * | |
| * @tparam LENGTH | |
| * <b>[inferred]</b> LengthT of @p input array | |
| * | |
| * @tparam T | |
| * <b>[inferred]</b> The data type to be reduced. | |
| * | |
| * @tparam ReductionOp | |
| * <b>[inferred]</b> Binary reduction operator type having member | |
| * <tt>T operator()(const T &a, const T &b)</tt> | |
| * | |
| * @param[in] input | |
| * Input array | |
| * | |
| * @param[in] reduction_op | |
| * Binary reduction operator | |
| */ | |
| template <int LENGTH, typename T, typename ReductionOp> | |
| __device__ __forceinline__ T ThreadReduce(T (&input)[LENGTH], ReductionOp reduction_op) | |
| { | |
| return ThreadReduce<LENGTH>((T*) input, reduction_op); | |
| } | |
| } // internal namespace | |
| CUB_NAMESPACE_END | |