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marek
499 lines
23 KiB
C++
499 lines
23 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not 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 disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// 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
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#ifndef __OPENCV_GPU_PRED_VAL_REDUCE_DETAIL_HPP__
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#define __OPENCV_GPU_PRED_VAL_REDUCE_DETAIL_HPP__
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#include <thrust/tuple.h>
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#include "../warp.hpp"
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#include "../warp_shuffle.hpp"
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namespace cv { namespace gpu { namespace device
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{
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namespace reduce_key_val_detail
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{
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template <typename T> struct GetType;
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template <typename T> struct GetType<T*>
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{
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typedef T type;
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};
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template <typename T> struct GetType<volatile T*>
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{
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typedef T type;
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};
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template <typename T> struct GetType<T&>
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{
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typedef T type;
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};
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template <unsigned int I, unsigned int N>
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struct For
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{
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template <class PointerTuple, class ReferenceTuple>
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static __device__ void loadToSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
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{
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thrust::get<I>(smem)[tid] = thrust::get<I>(data);
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For<I + 1, N>::loadToSmem(smem, data, tid);
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}
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template <class PointerTuple, class ReferenceTuple>
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static __device__ void loadFromSmem(const PointerTuple& smem, const ReferenceTuple& data, unsigned int tid)
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{
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thrust::get<I>(data) = thrust::get<I>(smem)[tid];
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For<I + 1, N>::loadFromSmem(smem, data, tid);
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}
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template <class ReferenceTuple>
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static __device__ void copyShfl(const ReferenceTuple& val, unsigned int delta, int width)
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{
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thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);
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For<I + 1, N>::copyShfl(val, delta, width);
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}
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template <class PointerTuple, class ReferenceTuple>
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static __device__ void copy(const PointerTuple& svals, const ReferenceTuple& val, unsigned int tid, unsigned int delta)
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{
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thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];
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For<I + 1, N>::copy(svals, val, tid, delta);
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}
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template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
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static __device__ void mergeShfl(const KeyReferenceTuple& key, const ValReferenceTuple& val, const CmpTuple& cmp, unsigned int delta, int width)
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{
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typename GetType<typename thrust::tuple_element<I, KeyReferenceTuple>::type>::type reg = shfl_down(thrust::get<I>(key), delta, width);
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if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
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{
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thrust::get<I>(key) = reg;
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thrust::get<I>(val) = shfl_down(thrust::get<I>(val), delta, width);
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}
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For<I + 1, N>::mergeShfl(key, val, cmp, delta, width);
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}
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template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
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static __device__ void merge(const KeyPointerTuple& skeys, const KeyReferenceTuple& key,
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const ValPointerTuple& svals, const ValReferenceTuple& val,
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const CmpTuple& cmp,
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unsigned int tid, unsigned int delta)
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{
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typename GetType<typename thrust::tuple_element<I, KeyPointerTuple>::type>::type reg = thrust::get<I>(skeys)[tid + delta];
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if (thrust::get<I>(cmp)(reg, thrust::get<I>(key)))
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{
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thrust::get<I>(skeys)[tid] = thrust::get<I>(key) = reg;
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thrust::get<I>(svals)[tid] = thrust::get<I>(val) = thrust::get<I>(svals)[tid + delta];
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}
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For<I + 1, N>::merge(skeys, key, svals, val, cmp, tid, delta);
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}
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};
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template <unsigned int N>
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struct For<N, N>
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{
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template <class PointerTuple, class ReferenceTuple>
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static __device__ void loadToSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
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{
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}
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template <class PointerTuple, class ReferenceTuple>
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static __device__ void loadFromSmem(const PointerTuple&, const ReferenceTuple&, unsigned int)
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{
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}
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template <class ReferenceTuple>
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static __device__ void copyShfl(const ReferenceTuple&, unsigned int, int)
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{
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}
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template <class PointerTuple, class ReferenceTuple>
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static __device__ void copy(const PointerTuple&, const ReferenceTuple&, unsigned int, unsigned int)
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{
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}
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template <class KeyReferenceTuple, class ValReferenceTuple, class CmpTuple>
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static __device__ void mergeShfl(const KeyReferenceTuple&, const ValReferenceTuple&, const CmpTuple&, unsigned int, int)
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{
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}
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template <class KeyPointerTuple, class KeyReferenceTuple, class ValPointerTuple, class ValReferenceTuple, class CmpTuple>
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static __device__ void merge(const KeyPointerTuple&, const KeyReferenceTuple&,
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const ValPointerTuple&, const ValReferenceTuple&,
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const CmpTuple&,
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unsigned int, unsigned int)
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{
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}
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};
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//////////////////////////////////////////////////////
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// loadToSmem
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template <typename T>
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__device__ __forceinline__ void loadToSmem(volatile T* smem, T& data, unsigned int tid)
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{
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smem[tid] = data;
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}
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template <typename T>
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__device__ __forceinline__ void loadFromSmem(volatile T* smem, T& data, unsigned int tid)
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{
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data = smem[tid];
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}
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template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
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__device__ __forceinline__ void loadToSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
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const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
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unsigned int tid)
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{
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For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadToSmem(smem, data, tid);
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}
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template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
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__device__ __forceinline__ void loadFromSmem(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& smem,
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const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& data,
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unsigned int tid)
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{
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For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::loadFromSmem(smem, data, tid);
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}
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//////////////////////////////////////////////////////
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// copyVals
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template <typename V>
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__device__ __forceinline__ void copyValsShfl(V& val, unsigned int delta, int width)
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{
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val = shfl_down(val, delta, width);
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}
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template <typename V>
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__device__ __forceinline__ void copyVals(volatile V* svals, V& val, unsigned int tid, unsigned int delta)
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{
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svals[tid] = val = svals[tid + delta];
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}
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template <typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
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__device__ __forceinline__ void copyValsShfl(const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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unsigned int delta,
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int width)
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{
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For<0, thrust::tuple_size<thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9> >::value>::copyShfl(val, delta, width);
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}
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template <typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9>
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__device__ __forceinline__ void copyVals(const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
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const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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unsigned int tid, unsigned int delta)
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{
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For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::copy(svals, val, tid, delta);
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}
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//////////////////////////////////////////////////////
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// merge
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template <typename K, typename V, class Cmp>
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__device__ __forceinline__ void mergeShfl(K& key, V& val, const Cmp& cmp, unsigned int delta, int width)
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{
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K reg = shfl_down(key, delta, width);
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if (cmp(reg, key))
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{
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key = reg;
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copyValsShfl(val, delta, width);
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}
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}
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template <typename K, typename V, class Cmp>
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__device__ __forceinline__ void merge(volatile K* skeys, K& key, volatile V* svals, V& val, const Cmp& cmp, unsigned int tid, unsigned int delta)
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{
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K reg = skeys[tid + delta];
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if (cmp(reg, key))
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{
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skeys[tid] = key = reg;
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copyVals(svals, val, tid, delta);
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}
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}
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template <typename K,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
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class Cmp>
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__device__ __forceinline__ void mergeShfl(K& key,
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const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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const Cmp& cmp,
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unsigned int delta, int width)
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{
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K reg = shfl_down(key, delta, width);
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if (cmp(reg, key))
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{
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key = reg;
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copyValsShfl(val, delta, width);
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}
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}
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template <typename K,
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typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
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class Cmp>
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__device__ __forceinline__ void merge(volatile K* skeys, K& key,
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const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
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const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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const Cmp& cmp, unsigned int tid, unsigned int delta)
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{
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K reg = skeys[tid + delta];
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if (cmp(reg, key))
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{
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skeys[tid] = key = reg;
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copyVals(svals, val, tid, delta);
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}
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}
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template <typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
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class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
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__device__ __forceinline__ void mergeShfl(const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
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const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
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unsigned int delta, int width)
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{
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For<0, thrust::tuple_size<thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9> >::value>::mergeShfl(key, val, cmp, delta, width);
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}
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template <typename KP0, typename KP1, typename KP2, typename KP3, typename KP4, typename KP5, typename KP6, typename KP7, typename KP8, typename KP9,
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typename KR0, typename KR1, typename KR2, typename KR3, typename KR4, typename KR5, typename KR6, typename KR7, typename KR8, typename KR9,
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typename VP0, typename VP1, typename VP2, typename VP3, typename VP4, typename VP5, typename VP6, typename VP7, typename VP8, typename VP9,
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typename VR0, typename VR1, typename VR2, typename VR3, typename VR4, typename VR5, typename VR6, typename VR7, typename VR8, typename VR9,
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class Cmp0, class Cmp1, class Cmp2, class Cmp3, class Cmp4, class Cmp5, class Cmp6, class Cmp7, class Cmp8, class Cmp9>
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__device__ __forceinline__ void merge(const thrust::tuple<KP0, KP1, KP2, KP3, KP4, KP5, KP6, KP7, KP8, KP9>& skeys,
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const thrust::tuple<KR0, KR1, KR2, KR3, KR4, KR5, KR6, KR7, KR8, KR9>& key,
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const thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9>& svals,
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const thrust::tuple<VR0, VR1, VR2, VR3, VR4, VR5, VR6, VR7, VR8, VR9>& val,
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const thrust::tuple<Cmp0, Cmp1, Cmp2, Cmp3, Cmp4, Cmp5, Cmp6, Cmp7, Cmp8, Cmp9>& cmp,
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unsigned int tid, unsigned int delta)
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{
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For<0, thrust::tuple_size<thrust::tuple<VP0, VP1, VP2, VP3, VP4, VP5, VP6, VP7, VP8, VP9> >::value>::merge(skeys, key, svals, val, cmp, tid, delta);
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}
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//////////////////////////////////////////////////////
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// Generic
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template <unsigned int N> struct Generic
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{
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template <class KP, class KR, class VP, class VR, class Cmp>
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static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
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{
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loadToSmem(skeys, key, tid);
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loadValsToSmem(svals, val, tid);
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if (N >= 32)
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__syncthreads();
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if (N >= 2048)
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{
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if (tid < 1024)
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merge(skeys, key, svals, val, cmp, tid, 1024);
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__syncthreads();
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}
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if (N >= 1024)
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{
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if (tid < 512)
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merge(skeys, key, svals, val, cmp, tid, 512);
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__syncthreads();
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}
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if (N >= 512)
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{
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if (tid < 256)
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merge(skeys, key, svals, val, cmp, tid, 256);
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__syncthreads();
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}
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if (N >= 256)
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{
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if (tid < 128)
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merge(skeys, key, svals, val, cmp, tid, 128);
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__syncthreads();
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}
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if (N >= 128)
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{
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if (tid < 64)
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merge(skeys, key, svals, val, cmp, tid, 64);
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__syncthreads();
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}
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if (N >= 64)
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{
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if (tid < 32)
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merge(skeys, key, svals, val, cmp, tid, 32);
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}
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if (tid < 16)
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{
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merge(skeys, key, svals, val, cmp, tid, 16);
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merge(skeys, key, svals, val, cmp, tid, 8);
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merge(skeys, key, svals, val, cmp, tid, 4);
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merge(skeys, key, svals, val, cmp, tid, 2);
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merge(skeys, key, svals, val, cmp, tid, 1);
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}
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}
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};
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template <unsigned int I, class KP, class KR, class VP, class VR, class Cmp>
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struct Unroll
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{
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static __device__ void loopShfl(KR key, VR val, Cmp cmp, unsigned int N)
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{
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mergeShfl(key, val, cmp, I, N);
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Unroll<I / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
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}
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static __device__ void loop(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
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{
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merge(skeys, key, svals, val, cmp, tid, I);
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Unroll<I / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
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}
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};
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template <class KP, class KR, class VP, class VR, class Cmp>
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struct Unroll<0, KP, KR, VP, VR, Cmp>
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{
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static __device__ void loopShfl(KR, VR, Cmp, unsigned int)
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{
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}
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static __device__ void loop(KP, KR, VP, VR, unsigned int, Cmp)
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{
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}
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};
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template <unsigned int N> struct WarpOptimized
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{
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template <class KP, class KR, class VP, class VR, class Cmp>
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static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
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{
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#if 0 // __CUDA_ARCH__ >= 300
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(void) skeys;
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(void) svals;
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(void) tid;
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Unroll<N / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, N);
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#else
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loadToSmem(skeys, key, tid);
|
|
loadToSmem(svals, val, tid);
|
|
|
|
if (tid < N / 2)
|
|
Unroll<N / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
|
|
#endif
|
|
}
|
|
};
|
|
|
|
template <unsigned int N> struct GenericOptimized32
|
|
{
|
|
enum { M = N / 32 };
|
|
|
|
template <class KP, class KR, class VP, class VR, class Cmp>
|
|
static __device__ void reduce(KP skeys, KR key, VP svals, VR val, unsigned int tid, Cmp cmp)
|
|
{
|
|
const unsigned int laneId = Warp::laneId();
|
|
|
|
#if 0 // __CUDA_ARCH__ >= 300
|
|
Unroll<16, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, warpSize);
|
|
|
|
if (laneId == 0)
|
|
{
|
|
loadToSmem(skeys, key, tid / 32);
|
|
loadToSmem(svals, val, tid / 32);
|
|
}
|
|
#else
|
|
loadToSmem(skeys, key, tid);
|
|
loadToSmem(svals, val, tid);
|
|
|
|
if (laneId < 16)
|
|
Unroll<16, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
|
|
|
|
__syncthreads();
|
|
|
|
if (laneId == 0)
|
|
{
|
|
loadToSmem(skeys, key, tid / 32);
|
|
loadToSmem(svals, val, tid / 32);
|
|
}
|
|
#endif
|
|
|
|
__syncthreads();
|
|
|
|
loadFromSmem(skeys, key, tid);
|
|
|
|
if (tid < 32)
|
|
{
|
|
#if 0 // __CUDA_ARCH__ >= 300
|
|
loadFromSmem(svals, val, tid);
|
|
|
|
Unroll<M / 2, KP, KR, VP, VR, Cmp>::loopShfl(key, val, cmp, M);
|
|
#else
|
|
Unroll<M / 2, KP, KR, VP, VR, Cmp>::loop(skeys, key, svals, val, tid, cmp);
|
|
#endif
|
|
}
|
|
}
|
|
};
|
|
|
|
template <bool val, class T1, class T2> struct StaticIf;
|
|
template <class T1, class T2> struct StaticIf<true, T1, T2>
|
|
{
|
|
typedef T1 type;
|
|
};
|
|
template <class T1, class T2> struct StaticIf<false, T1, T2>
|
|
{
|
|
typedef T2 type;
|
|
};
|
|
|
|
template <unsigned int N> struct IsPowerOf2
|
|
{
|
|
enum { value = ((N != 0) && !(N & (N - 1))) };
|
|
};
|
|
|
|
template <unsigned int N> struct Dispatcher
|
|
{
|
|
typedef typename StaticIf<
|
|
(N <= 32) && IsPowerOf2<N>::value,
|
|
WarpOptimized<N>,
|
|
typename StaticIf<
|
|
(N <= 1024) && IsPowerOf2<N>::value,
|
|
GenericOptimized32<N>,
|
|
Generic<N>
|
|
>::type
|
|
>::type reductor;
|
|
};
|
|
}
|
|
}}}
|
|
|
|
#endif // __OPENCV_GPU_PRED_VAL_REDUCE_DETAIL_HPP__
|