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minor refactoring:

Browse Source 
moved lbp.hpp to src/cuda folder
added missing cv::gpu::device namespace
deleted whitespaces
This commit is contained in:
Vladislav Vinogradov 2012-10-05 17:43:22 +04:00
parent a703df5456
commit 3ebec7448d
8 changed files with 222 additions and 217 deletions
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6
modules/gpu/src/cuda/lbp.cu
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@ -42,9 +42,9 @@
#if !defined CUDA_DISABLER #if !defined CUDA_DISABLER
#include <opencv2/gpu/device/lbp.hpp> #include "lbp.hpp"
#include <opencv2/gpu/device/vec_traits.hpp> #include "opencv2/gpu/device/vec_traits.hpp"
#include <opencv2/gpu/device/saturate_cast.hpp> #include "opencv2/gpu/device/saturate_cast.hpp"
namespace cv { namespace gpu { namespace device namespace cv { namespace gpu { namespace device
{ {

0
modules/gpu/src/opencv2/gpu/device/lbp.hpp → modules/gpu/src/cuda/lbp.hpp
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2
modules/gpu/src/opencv2/gpu/device/detail/color_detail.hpp
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@ -1535,6 +1535,8 @@ namespace cv { namespace gpu { namespace device
return functor_type(); \ return functor_type(); \
} \ } \
}; };
#undef CV_DESCALE
}}} // namespace cv { namespace gpu { namespace device }}} // namespace cv { namespace gpu { namespace device
#endif // __OPENCV_GPU_COLOR_DETAIL_HPP__ #endif // __OPENCV_GPU_COLOR_DETAIL_HPP__

8
modules/gpu/src/opencv2/gpu/device/detail/utility_detail.hpp → modules/gpu/src/opencv2/gpu/device/detail/reduction_detail.hpp
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@ -40,15 +40,15 @@
// //
//M*/ //M*/
#ifndef __OPENCV_GPU_UTILITY_DETAIL_HPP__ #ifndef __OPENCV_GPU_REDUCTION_DETAIL_HPP__
#define __OPENCV_GPU_UTILITY_DETAIL_HPP__ #define __OPENCV_GPU_REDUCTION_DETAIL_HPP__
namespace cv { namespace gpu { namespace device namespace cv { namespace gpu { namespace device
{ {
namespace utility_detail namespace utility_detail
{ {
/////////////////////////////////////////////////////////////////////////////// ///////////////////////////////////////////////////////////////////////////////
// Reduction // Reductor
template <int n> struct WarpReductor template <int n> struct WarpReductor
{ {
@ -838,4 +838,4 @@ namespace cv { namespace gpu { namespace device
} // namespace utility_detail } // namespace utility_detail
}}} // namespace cv { namespace gpu { namespace device }}} // namespace cv { namespace gpu { namespace device
#endif // __OPENCV_GPU_UTILITY_DETAIL_HPP__ #endif // __OPENCV_GPU_REDUCTION_DETAIL_HPP__

14
modules/gpu/src/opencv2/gpu/device/detail/transform_detail.hpp
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@ -203,7 +203,7 @@ namespace cv { namespace gpu { namespace device
}; };
template <typename T, typename D, typename UnOp, typename Mask> template <typename T, typename D, typename UnOp, typename Mask>
__global__ static void transformSmart(const PtrStepSz<T> src_, PtrStep<D> dst_, const Mask mask, const UnOp op) static __global__ void transformSmart(const PtrStepSz<T> src_, PtrStep<D> dst_, const Mask mask, const UnOp op)
{ {
typedef TransformFunctorTraits<UnOp> ft; typedef TransformFunctorTraits<UnOp> ft;
typedef typename UnaryReadWriteTraits<T, D, ft::smart_shift>::read_type read_type; typedef typename UnaryReadWriteTraits<T, D, ft::smart_shift>::read_type read_type;
@ -239,10 +239,10 @@ namespace cv { namespace gpu { namespace device
} }
template <typename T, typename D, typename UnOp, typename Mask> template <typename T, typename D, typename UnOp, typename Mask>
static __global__ void transformSimple(const PtrStepSz<T> src, PtrStep<D> dst, const Mask mask, const UnOp op) __global__ static void transformSimple(const PtrStepSz<T> src, PtrStep<D> dst, const Mask mask, const UnOp op)
{ {
const int x = blockDim.x * blockIdx.x + threadIdx.x; const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y; const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (x < src.cols && y < src.rows && mask(y, x)) if (x < src.cols && y < src.rows && mask(y, x))
{ {
@ -251,7 +251,7 @@ namespace cv { namespace gpu { namespace device
} }
template <typename T1, typename T2, typename D, typename BinOp, typename Mask> template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
__global__ static void transformSmart(const PtrStepSz<T1> src1_, const PtrStep<T2> src2_, PtrStep<D> dst_, static __global__ void transformSmart(const PtrStepSz<T1> src1_, const PtrStep<T2> src2_, PtrStep<D> dst_,
const Mask mask, const BinOp op) const Mask mask, const BinOp op)
{ {
typedef TransformFunctorTraits<BinOp> ft; typedef TransformFunctorTraits<BinOp> ft;
@ -294,8 +294,8 @@ namespace cv { namespace gpu { namespace device
static __global__ void transformSimple(const PtrStepSz<T1> src1, const PtrStep<T2> src2, PtrStep<D> dst, static __global__ void transformSimple(const PtrStepSz<T1> src1, const PtrStep<T2> src2, PtrStep<D> dst,
const Mask mask, const BinOp op) const Mask mask, const BinOp op)
{ {
const int x = blockDim.x * blockIdx.x + threadIdx.x; const int x = blockDim.x * blockIdx.x + threadIdx.x;
const int y = blockDim.y * blockIdx.y + threadIdx.y; const int y = blockDim.y * blockIdx.y + threadIdx.y;
if (x < src1.cols && y < src1.rows && mask(y, x)) if (x < src1.cols && y < src1.rows && mask(y, x))
{ {

201
modules/gpu/src/opencv2/gpu/device/scan.hpp
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@ -43,124 +43,129 @@
#ifndef __OPENCV_GPU_SCAN_HPP__ #ifndef __OPENCV_GPU_SCAN_HPP__
#define __OPENCV_GPU_SCAN_HPP__ #define __OPENCV_GPU_SCAN_HPP__
enum ScanKind { EXCLUSIVE = 0, INCLUSIVE = 1 }; #include "common.hpp"
template <ScanKind Kind, typename T, typename F> struct WarpScan namespace cv { namespace gpu { namespace device
{
enum ScanKind { EXCLUSIVE = 0, INCLUSIVE = 1 };
template <ScanKind Kind, typename T, typename F> struct WarpScan
{
__device__ __forceinline__ WarpScan() {}
__device__ __forceinline__ WarpScan(const WarpScan& other) { (void)other; }
__device__ __forceinline__ T operator()( volatile T *ptr , const unsigned int idx)
{ {
__device__ __forceinline__ WarpScan() {} const unsigned int lane = idx & 31;
__device__ __forceinline__ WarpScan(const WarpScan& other) { (void)other; } F op;
__device__ __forceinline__ T operator()( volatile T *ptr , const unsigned int idx) if ( lane >= 1) ptr [idx ] = op(ptr [idx - 1], ptr [idx]);
{ if ( lane >= 2) ptr [idx ] = op(ptr [idx - 2], ptr [idx]);
const unsigned int lane = idx & 31; if ( lane >= 4) ptr [idx ] = op(ptr [idx - 4], ptr [idx]);
F op; if ( lane >= 8) ptr [idx ] = op(ptr [idx - 8], ptr [idx]);
if ( lane >= 16) ptr [idx ] = op(ptr [idx - 16], ptr [idx]);
if ( lane >= 1) ptr [idx ] = op(ptr [idx - 1], ptr [idx]); if( Kind == INCLUSIVE )
if ( lane >= 2) ptr [idx ] = op(ptr [idx - 2], ptr [idx]); return ptr [idx];
if ( lane >= 4) ptr [idx ] = op(ptr [idx - 4], ptr [idx]); else
if ( lane >= 8) ptr [idx ] = op(ptr [idx - 8], ptr [idx]); return (lane > 0) ? ptr [idx - 1] : 0;
if ( lane >= 16) ptr [idx ] = op(ptr [idx - 16], ptr [idx]); }
if( Kind == INCLUSIVE ) __device__ __forceinline__ unsigned int index(const unsigned int tid)
return ptr [idx];
else
return (lane > 0) ? ptr [idx - 1] : 0;
}
__device__ __forceinline__ unsigned int index(const unsigned int tid)
{
return tid;
}
__device__ __forceinline__ void init(volatile T *ptr){}
static const int warp_offset = 0;
typedef WarpScan<INCLUSIVE, T, F> merge;
};
template <ScanKind Kind , typename T, typename F> struct WarpScanNoComp
{ {
__device__ __forceinline__ WarpScanNoComp() {} return tid;
__device__ __forceinline__ WarpScanNoComp(const WarpScanNoComp& other) { (void)other; } }
__device__ __forceinline__ T operator()( volatile T *ptr , const unsigned int idx) __device__ __forceinline__ void init(volatile T *ptr){}
{
const unsigned int lane = threadIdx.x & 31;
F op;
ptr [idx ] = op(ptr [idx - 1], ptr [idx]); static const int warp_offset = 0;
ptr [idx ] = op(ptr [idx - 2], ptr [idx]);
ptr [idx ] = op(ptr [idx - 4], ptr [idx]);
ptr [idx ] = op(ptr [idx - 8], ptr [idx]);
ptr [idx ] = op(ptr [idx - 16], ptr [idx]);
if( Kind == INCLUSIVE ) typedef WarpScan<INCLUSIVE, T, F> merge;
return ptr [idx]; };
else
return (lane > 0) ? ptr [idx - 1] : 0;
}
__device__ __forceinline__ unsigned int index(const unsigned int tid) template <ScanKind Kind , typename T, typename F> struct WarpScanNoComp
{ {
return (tid >> warp_log) * warp_smem_stride + 16 + (tid & warp_mask); __device__ __forceinline__ WarpScanNoComp() {}
} __device__ __forceinline__ WarpScanNoComp(const WarpScanNoComp& other) { (void)other; }
__device__ __forceinline__ void init(volatile T *ptr) __device__ __forceinline__ T operator()( volatile T *ptr , const unsigned int idx)
{
ptr[threadIdx.x] = 0;
}
static const int warp_smem_stride = 32 + 16 + 1;
static const int warp_offset = 16;
static const int warp_log = 5;
static const int warp_mask = 31;
typedef WarpScanNoComp<INCLUSIVE, T, F> merge;
};
template <ScanKind Kind , typename T, typename Sc, typename F> struct BlockScan
{ {
__device__ __forceinline__ BlockScan() {} const unsigned int lane = threadIdx.x & 31;
__device__ __forceinline__ BlockScan(const BlockScan& other) { (void)other; } F op;
__device__ __forceinline__ T operator()(volatile T *ptr) ptr [idx ] = op(ptr [idx - 1], ptr [idx]);
{ ptr [idx ] = op(ptr [idx - 2], ptr [idx]);
const unsigned int tid = threadIdx.x; ptr [idx ] = op(ptr [idx - 4], ptr [idx]);
const unsigned int lane = tid & warp_mask; ptr [idx ] = op(ptr [idx - 8], ptr [idx]);
const unsigned int warp = tid >> warp_log; ptr [idx ] = op(ptr [idx - 16], ptr [idx]);
Sc scan; if( Kind == INCLUSIVE )
typename Sc::merge merge_scan; return ptr [idx];
const unsigned int idx = scan.index(tid); else
return (lane > 0) ? ptr [idx - 1] : 0;
}
T val = scan(ptr, idx); __device__ __forceinline__ unsigned int index(const unsigned int tid)
__syncthreads (); {
return (tid >> warp_log) * warp_smem_stride + 16 + (tid & warp_mask);
}
if( warp == 0) __device__ __forceinline__ void init(volatile T *ptr)
scan.init(ptr); {
__syncthreads (); ptr[threadIdx.x] = 0;
}
if( lane == 31 ) static const int warp_smem_stride = 32 + 16 + 1;
ptr [scan.warp_offset + warp ] = (Kind == INCLUSIVE) ? val : ptr [idx]; static const int warp_offset = 16;
__syncthreads (); static const int warp_log = 5;
static const int warp_mask = 31;
if( warp == 0 ) typedef WarpScanNoComp<INCLUSIVE, T, F> merge;
merge_scan(ptr, idx); };
__syncthreads();
if ( warp > 0) template <ScanKind Kind , typename T, typename Sc, typename F> struct BlockScan
val = ptr [scan.warp_offset + warp - 1] + val; {
__syncthreads (); __device__ __forceinline__ BlockScan() {}
__device__ __forceinline__ BlockScan(const BlockScan& other) { (void)other; }
ptr[idx] = val; __device__ __forceinline__ T operator()(volatile T *ptr)
__syncthreads (); {
const unsigned int tid = threadIdx.x;
const unsigned int lane = tid & warp_mask;
const unsigned int warp = tid >> warp_log;
return val ; Sc scan;
} typename Sc::merge merge_scan;
const unsigned int idx = scan.index(tid);
static const int warp_log = 5; T val = scan(ptr, idx);
static const int warp_mask = 31; __syncthreads ();
};
#endif if( warp == 0)
scan.init(ptr);
__syncthreads ();
if( lane == 31 )
ptr [scan.warp_offset + warp ] = (Kind == INCLUSIVE) ? val : ptr [idx];
__syncthreads ();
if( warp == 0 )
merge_scan(ptr, idx);
__syncthreads();
if ( warp > 0)
val = ptr [scan.warp_offset + warp - 1] + val;
__syncthreads ();
ptr[idx] = val;
__syncthreads ();
return val ;
}
static const int warp_log = 5;
static const int warp_mask = 31;
};
}}}
#endif // __OPENCV_GPU_SCAN_HPP__

2
modules/gpu/src/opencv2/gpu/device/static_check.hpp
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@ -60,8 +60,6 @@ namespace cv { namespace gpu
__OPENCV_GPU_HOST_DEVICE__ static void check() {}; __OPENCV_GPU_HOST_DEVICE__ static void check() {};
}; };
} }
using ::cv::gpu::device::Static;
}} }}
#undef __OPENCV_GPU_HOST_DEVICE__ #undef __OPENCV_GPU_HOST_DEVICE__

2
modules/gpu/src/opencv2/gpu/device/utility.hpp
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@ -45,7 +45,7 @@
#include "saturate_cast.hpp" #include "saturate_cast.hpp"
#include "datamov_utils.hpp" #include "datamov_utils.hpp"
#include "detail/utility_detail.hpp" #include "detail/reduction_detail.hpp"
namespace cv { namespace gpu { namespace device namespace cv { namespace gpu { namespace device
{ {