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