speedup compilation of row_filter.cu and column_filter.cu
authorVladislav Vinogradov <vlad.vinogradov@itseez.com>
Fri, 9 Nov 2012 09:14:59 +0000 (13:14 +0400)
committerVladislav Vinogradov <vlad.vinogradov@itseez.com>
Mon, 12 Nov 2012 06:16:04 +0000 (10:16 +0400)
split them into several small files

21 files changed:
modules/gpu/src/cuda/column_filter.0.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.1.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.2.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.3.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.4.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.5.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.6.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.7.cu [new file with mode: 0644]
modules/gpu/src/cuda/column_filter.cu [deleted file]
modules/gpu/src/cuda/column_filter.h [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.0.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.1.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.2.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.3.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.4.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.5.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.6.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.7.cu [new file with mode: 0644]
modules/gpu/src/cuda/row_filter.cu [deleted file]
modules/gpu/src/cuda/row_filter.h [new file with mode: 0644]
modules/gpu/src/filtering.cpp

diff --git a/modules/gpu/src/cuda/column_filter.0.cu b/modules/gpu/src/cuda/column_filter.0.cu
new file mode 100644 (file)
index 0000000..c35c6ee
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float, uchar>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.1.cu b/modules/gpu/src/cuda/column_filter.1.cu
new file mode 100644 (file)
index 0000000..9a2d6a0
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float3, uchar3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.2.cu b/modules/gpu/src/cuda/column_filter.2.cu
new file mode 100644 (file)
index 0000000..05ee01c
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float4, uchar4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.3.cu b/modules/gpu/src/cuda/column_filter.3.cu
new file mode 100644 (file)
index 0000000..1bf4921
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float3, short3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.4.cu b/modules/gpu/src/cuda/column_filter.4.cu
new file mode 100644 (file)
index 0000000..bec7a08
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float, int>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.5.cu b/modules/gpu/src/cuda/column_filter.5.cu
new file mode 100644 (file)
index 0000000..8194ee3
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.6.cu b/modules/gpu/src/cuda/column_filter.6.cu
new file mode 100644 (file)
index 0000000..d8fc49b
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.7.cu b/modules/gpu/src/cuda/column_filter.7.cu
new file mode 100644 (file)
index 0000000..534bd82
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "column_filter.h"
+
+namespace filter
+{
+    template void linearColumn<float4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.cu b/modules/gpu/src/cuda/column_filter.cu
deleted file mode 100644 (file)
index af7369a..0000000
+++ /dev/null
@@ -1,391 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's 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.
-//
-//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#if !defined CUDA_DISABLER
-
-#include "internal_shared.hpp"
-#include "opencv2/gpu/device/saturate_cast.hpp"
-#include "opencv2/gpu/device/vec_math.hpp"
-#include "opencv2/gpu/device/limits.hpp"
-#include "opencv2/gpu/device/border_interpolate.hpp"
-#include "opencv2/gpu/device/static_check.hpp"
-
-namespace cv { namespace gpu { namespace device
-{
-    namespace column_filter
-    {
-        #define MAX_KERNEL_SIZE 32
-
-        __constant__ float c_kernel[MAX_KERNEL_SIZE];
-
-        void loadKernel(const float* kernel, int ksize, cudaStream_t stream)
-        {
-            if (stream == 0)
-                cudaSafeCall( cudaMemcpyToSymbol(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice) );
-            else
-                cudaSafeCall( cudaMemcpyToSymbolAsync(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice, stream) );
-        }
-
-        template <int KSIZE, typename T, typename D, typename B>
-        __global__ void linearColumnFilter(const PtrStepSz<T> src, PtrStep<D> dst, const int anchor, const B brd)
-        {
-            #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 200)
-                const int BLOCK_DIM_X = 16;
-                const int BLOCK_DIM_Y = 16;
-                const int PATCH_PER_BLOCK = 4;
-                const int HALO_SIZE = KSIZE <= 16 ? 1 : 2;
-            #else
-                const int BLOCK_DIM_X = 16;
-                const int BLOCK_DIM_Y = 8;
-                const int PATCH_PER_BLOCK = 2;
-                const int HALO_SIZE = 2;
-            #endif
-
-            typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type sum_t;
-
-            __shared__ sum_t smem[(PATCH_PER_BLOCK + 2 * HALO_SIZE) * BLOCK_DIM_Y][BLOCK_DIM_X];
-
-            const int x = blockIdx.x * BLOCK_DIM_X + threadIdx.x;
-
-            if (x >= src.cols)
-                return;
-
-            const T* src_col = src.ptr() + x;
-
-            const int yStart = blockIdx.y * (BLOCK_DIM_Y * PATCH_PER_BLOCK) + threadIdx.y;
-
-            if (blockIdx.y > 0)
-            {
-                //Upper halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(src(yStart - (HALO_SIZE - j) * BLOCK_DIM_Y, x));
-            }
-            else
-            {
-                //Upper halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(brd.at_low(yStart - (HALO_SIZE - j) * BLOCK_DIM_Y, src_col, src.step));
-            }
-
-            if (blockIdx.y + 2 < gridDim.y)
-            {
-                //Main data
-                #pragma unroll
-                for (int j = 0; j < PATCH_PER_BLOCK; ++j)
-                    smem[threadIdx.y + HALO_SIZE * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(src(yStart + j * BLOCK_DIM_Y, x));
-
-                //Lower halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(src(yStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_Y, x));
-            }
-            else
-            {
-                //Main data
-                #pragma unroll
-                for (int j = 0; j < PATCH_PER_BLOCK; ++j)
-                    smem[threadIdx.y + HALO_SIZE * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(brd.at_high(yStart + j * BLOCK_DIM_Y, src_col, src.step));
-
-                //Lower halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(brd.at_high(yStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_Y, src_col, src.step));
-            }
-
-            __syncthreads();
-
-            #pragma unroll
-            for (int j = 0; j < PATCH_PER_BLOCK; ++j)
-            {
-                const int y = yStart + j * BLOCK_DIM_Y;
-
-                if (y < src.rows)
-                {
-                    sum_t sum = VecTraits<sum_t>::all(0);
-
-                    #pragma unroll
-                    for (int k = 0; k < KSIZE; ++k)
-                        sum = sum + smem[threadIdx.y + HALO_SIZE * BLOCK_DIM_Y + j * BLOCK_DIM_Y - anchor + k][threadIdx.x] * c_kernel[k];
-
-                    dst(y, x) = saturate_cast<D>(sum);
-                }
-            }
-        }
-
-        template <int KSIZE, typename T, typename D, template<typename> class B>
-        void linearColumnFilter_caller(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream)
-        {
-            int BLOCK_DIM_X;
-            int BLOCK_DIM_Y;
-            int PATCH_PER_BLOCK;
-
-            if (cc >= 20)
-            {
-                BLOCK_DIM_X = 16;
-                BLOCK_DIM_Y = 16;
-                PATCH_PER_BLOCK = 4;
-            }
-            else
-            {
-                BLOCK_DIM_X = 16;
-                BLOCK_DIM_Y = 8;
-                PATCH_PER_BLOCK = 2;
-            }
-
-            const dim3 block(BLOCK_DIM_X, BLOCK_DIM_Y);
-            const dim3 grid(divUp(src.cols, BLOCK_DIM_X), divUp(src.rows, BLOCK_DIM_Y * PATCH_PER_BLOCK));
-
-            B<T> brd(src.rows);
-
-            linearColumnFilter<KSIZE, T, D><<<grid, block, 0, stream>>>(src, dst, anchor, brd);
-
-            cudaSafeCall( cudaGetLastError() );
-
-            if (stream == 0)
-                cudaSafeCall( cudaDeviceSynchronize() );
-        }
-
-        template <typename T, typename D>
-        void linearColumnFilter_gpu(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream)
-        {
-            typedef void (*caller_t)(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream);
-
-            static const caller_t callers[5][33] =
-            {
-                {
-                    0,
-                    linearColumnFilter_caller< 1, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 2, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 3, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 4, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 5, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 6, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 7, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 8, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller< 9, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<10, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<11, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<12, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<13, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<14, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<15, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<16, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<17, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<18, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<19, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<20, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<21, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<22, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<23, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<24, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<25, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<26, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<27, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<28, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<29, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<30, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<31, T, D, BrdColReflect101>,
-                    linearColumnFilter_caller<32, T, D, BrdColReflect101>
-                },
-                {
-                    0,
-                    linearColumnFilter_caller< 1, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 2, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 3, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 4, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 5, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 6, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 7, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 8, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller< 9, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<10, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<11, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<12, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<13, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<14, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<15, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<16, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<17, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<18, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<19, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<20, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<21, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<22, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<23, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<24, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<25, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<26, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<27, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<28, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<29, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<30, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<31, T, D, BrdColReplicate>,
-                    linearColumnFilter_caller<32, T, D, BrdColReplicate>
-                },
-                {
-                    0,
-                    linearColumnFilter_caller< 1, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 2, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 3, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 4, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 5, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 6, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 7, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 8, T, D, BrdColConstant>,
-                    linearColumnFilter_caller< 9, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<10, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<11, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<12, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<13, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<14, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<15, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<16, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<17, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<18, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<19, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<20, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<21, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<22, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<23, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<24, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<25, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<26, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<27, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<28, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<29, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<30, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<31, T, D, BrdColConstant>,
-                    linearColumnFilter_caller<32, T, D, BrdColConstant>
-                },
-                {
-                    0,
-                    linearColumnFilter_caller< 1, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 2, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 3, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 4, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 5, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 6, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 7, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 8, T, D, BrdColReflect>,
-                    linearColumnFilter_caller< 9, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<10, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<11, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<12, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<13, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<14, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<15, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<16, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<17, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<18, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<19, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<20, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<21, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<22, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<23, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<24, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<25, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<26, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<27, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<28, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<29, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<30, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<31, T, D, BrdColReflect>,
-                    linearColumnFilter_caller<32, T, D, BrdColReflect>
-                },
-                {
-                    0,
-                    linearColumnFilter_caller< 1, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 2, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 3, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 4, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 5, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 6, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 7, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 8, T, D, BrdColWrap>,
-                    linearColumnFilter_caller< 9, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<10, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<11, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<12, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<13, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<14, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<15, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<16, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<17, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<18, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<19, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<20, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<21, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<22, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<23, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<24, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<25, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<26, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<27, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<28, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<29, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<30, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<31, T, D, BrdColWrap>,
-                    linearColumnFilter_caller<32, T, D, BrdColWrap>
-                }
-            };
-
-            loadKernel(kernel, ksize, stream);
-
-            callers[brd_type][ksize]((PtrStepSz<T>)src, (PtrStepSz<D>)dst, anchor, cc, stream);
-        }
-
-        template void linearColumnFilter_gpu<float , uchar >(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearColumnFilter_gpu<float3, uchar3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearColumnFilter_gpu<float4, uchar4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearColumnFilter_gpu<float3, short3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearColumnFilter_gpu<float , int   >(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearColumnFilter_gpu<float , float >(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearColumnFilter_gpu<float3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearColumnFilter_gpu<float4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-    } // namespace column_filter
-}}} // namespace cv { namespace gpu { namespace device
-
-
-#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/column_filter.h b/modules/gpu/src/cuda/column_filter.h
new file mode 100644 (file)
index 0000000..dbcd09f
--- /dev/null
@@ -0,0 +1,378 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "opencv2/gpu/device/common.hpp"
+#include "opencv2/gpu/device/saturate_cast.hpp"
+#include "opencv2/gpu/device/vec_math.hpp"
+#include "opencv2/gpu/device/border_interpolate.hpp"
+
+using namespace cv::gpu;
+using namespace cv::gpu::device;
+
+namespace
+{
+    #define MAX_KERNEL_SIZE 32
+
+    __constant__ float c_kernel[MAX_KERNEL_SIZE];
+
+    void loadKernel(const float* kernel, int ksize, cudaStream_t stream)
+    {
+        if (stream == 0)
+            cudaSafeCall( cudaMemcpyToSymbol(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice) );
+        else
+            cudaSafeCall( cudaMemcpyToSymbolAsync(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice, stream) );
+    }
+
+    template <int KSIZE, typename T, typename D, typename B>
+    __global__ void linearColumnFilter(const PtrStepSz<T> src, PtrStep<D> dst, const int anchor, const B brd)
+    {
+        #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 200)
+            const int BLOCK_DIM_X = 16;
+            const int BLOCK_DIM_Y = 16;
+            const int PATCH_PER_BLOCK = 4;
+            const int HALO_SIZE = KSIZE <= 16 ? 1 : 2;
+        #else
+            const int BLOCK_DIM_X = 16;
+            const int BLOCK_DIM_Y = 8;
+            const int PATCH_PER_BLOCK = 2;
+            const int HALO_SIZE = 2;
+        #endif
+
+        typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type sum_t;
+
+        __shared__ sum_t smem[(PATCH_PER_BLOCK + 2 * HALO_SIZE) * BLOCK_DIM_Y][BLOCK_DIM_X];
+
+        const int x = blockIdx.x * BLOCK_DIM_X + threadIdx.x;
+
+        if (x >= src.cols)
+            return;
+
+        const T* src_col = src.ptr() + x;
+
+        const int yStart = blockIdx.y * (BLOCK_DIM_Y * PATCH_PER_BLOCK) + threadIdx.y;
+
+        if (blockIdx.y > 0)
+        {
+            //Upper halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(src(yStart - (HALO_SIZE - j) * BLOCK_DIM_Y, x));
+        }
+        else
+        {
+            //Upper halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(brd.at_low(yStart - (HALO_SIZE - j) * BLOCK_DIM_Y, src_col, src.step));
+        }
+
+        if (blockIdx.y + 2 < gridDim.y)
+        {
+            //Main data
+            #pragma unroll
+            for (int j = 0; j < PATCH_PER_BLOCK; ++j)
+                smem[threadIdx.y + HALO_SIZE * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(src(yStart + j * BLOCK_DIM_Y, x));
+
+            //Lower halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(src(yStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_Y, x));
+        }
+        else
+        {
+            //Main data
+            #pragma unroll
+            for (int j = 0; j < PATCH_PER_BLOCK; ++j)
+                smem[threadIdx.y + HALO_SIZE * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(brd.at_high(yStart + j * BLOCK_DIM_Y, src_col, src.step));
+
+            //Lower halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_Y + j * BLOCK_DIM_Y][threadIdx.x] = saturate_cast<sum_t>(brd.at_high(yStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_Y, src_col, src.step));
+        }
+
+        __syncthreads();
+
+        #pragma unroll
+        for (int j = 0; j < PATCH_PER_BLOCK; ++j)
+        {
+            const int y = yStart + j * BLOCK_DIM_Y;
+
+            if (y < src.rows)
+            {
+                sum_t sum = VecTraits<sum_t>::all(0);
+
+                #pragma unroll
+                for (int k = 0; k < KSIZE; ++k)
+                    sum = sum + smem[threadIdx.y + HALO_SIZE * BLOCK_DIM_Y + j * BLOCK_DIM_Y - anchor + k][threadIdx.x] * c_kernel[k];
+
+                dst(y, x) = saturate_cast<D>(sum);
+            }
+        }
+    }
+
+    template <int KSIZE, typename T, typename D, template<typename> class B>
+    void caller(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream)
+    {
+        int BLOCK_DIM_X;
+        int BLOCK_DIM_Y;
+        int PATCH_PER_BLOCK;
+
+        if (cc >= 20)
+        {
+            BLOCK_DIM_X = 16;
+            BLOCK_DIM_Y = 16;
+            PATCH_PER_BLOCK = 4;
+        }
+        else
+        {
+            BLOCK_DIM_X = 16;
+            BLOCK_DIM_Y = 8;
+            PATCH_PER_BLOCK = 2;
+        }
+
+        const dim3 block(BLOCK_DIM_X, BLOCK_DIM_Y);
+        const dim3 grid(divUp(src.cols, BLOCK_DIM_X), divUp(src.rows, BLOCK_DIM_Y * PATCH_PER_BLOCK));
+
+        B<T> brd(src.rows);
+
+        linearColumnFilter<KSIZE, T, D><<<grid, block, 0, stream>>>(src, dst, anchor, brd);
+
+        cudaSafeCall( cudaGetLastError() );
+
+        if (stream == 0)
+            cudaSafeCall( cudaDeviceSynchronize() );
+    }
+}
+
+namespace filter
+{
+    template <typename T, typename D>
+    void linearColumn(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream)
+    {
+        typedef void (*caller_t)(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream);
+
+        static const caller_t callers[5][33] =
+        {
+            {
+                0,
+                ::caller< 1, T, D, BrdColReflect101>,
+                ::caller< 2, T, D, BrdColReflect101>,
+                ::caller< 3, T, D, BrdColReflect101>,
+                ::caller< 4, T, D, BrdColReflect101>,
+                ::caller< 5, T, D, BrdColReflect101>,
+                ::caller< 6, T, D, BrdColReflect101>,
+                ::caller< 7, T, D, BrdColReflect101>,
+                ::caller< 8, T, D, BrdColReflect101>,
+                ::caller< 9, T, D, BrdColReflect101>,
+                ::caller<10, T, D, BrdColReflect101>,
+                ::caller<11, T, D, BrdColReflect101>,
+                ::caller<12, T, D, BrdColReflect101>,
+                ::caller<13, T, D, BrdColReflect101>,
+                ::caller<14, T, D, BrdColReflect101>,
+                ::caller<15, T, D, BrdColReflect101>,
+                ::caller<16, T, D, BrdColReflect101>,
+                ::caller<17, T, D, BrdColReflect101>,
+                ::caller<18, T, D, BrdColReflect101>,
+                ::caller<19, T, D, BrdColReflect101>,
+                ::caller<20, T, D, BrdColReflect101>,
+                ::caller<21, T, D, BrdColReflect101>,
+                ::caller<22, T, D, BrdColReflect101>,
+                ::caller<23, T, D, BrdColReflect101>,
+                ::caller<24, T, D, BrdColReflect101>,
+                ::caller<25, T, D, BrdColReflect101>,
+                ::caller<26, T, D, BrdColReflect101>,
+                ::caller<27, T, D, BrdColReflect101>,
+                ::caller<28, T, D, BrdColReflect101>,
+                ::caller<29, T, D, BrdColReflect101>,
+                ::caller<30, T, D, BrdColReflect101>,
+                ::caller<31, T, D, BrdColReflect101>,
+                ::caller<32, T, D, BrdColReflect101>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdColReplicate>,
+                ::caller< 2, T, D, BrdColReplicate>,
+                ::caller< 3, T, D, BrdColReplicate>,
+                ::caller< 4, T, D, BrdColReplicate>,
+                ::caller< 5, T, D, BrdColReplicate>,
+                ::caller< 6, T, D, BrdColReplicate>,
+                ::caller< 7, T, D, BrdColReplicate>,
+                ::caller< 8, T, D, BrdColReplicate>,
+                ::caller< 9, T, D, BrdColReplicate>,
+                ::caller<10, T, D, BrdColReplicate>,
+                ::caller<11, T, D, BrdColReplicate>,
+                ::caller<12, T, D, BrdColReplicate>,
+                ::caller<13, T, D, BrdColReplicate>,
+                ::caller<14, T, D, BrdColReplicate>,
+                ::caller<15, T, D, BrdColReplicate>,
+                ::caller<16, T, D, BrdColReplicate>,
+                ::caller<17, T, D, BrdColReplicate>,
+                ::caller<18, T, D, BrdColReplicate>,
+                ::caller<19, T, D, BrdColReplicate>,
+                ::caller<20, T, D, BrdColReplicate>,
+                ::caller<21, T, D, BrdColReplicate>,
+                ::caller<22, T, D, BrdColReplicate>,
+                ::caller<23, T, D, BrdColReplicate>,
+                ::caller<24, T, D, BrdColReplicate>,
+                ::caller<25, T, D, BrdColReplicate>,
+                ::caller<26, T, D, BrdColReplicate>,
+                ::caller<27, T, D, BrdColReplicate>,
+                ::caller<28, T, D, BrdColReplicate>,
+                ::caller<29, T, D, BrdColReplicate>,
+                ::caller<30, T, D, BrdColReplicate>,
+                ::caller<31, T, D, BrdColReplicate>,
+                ::caller<32, T, D, BrdColReplicate>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdColConstant>,
+                ::caller< 2, T, D, BrdColConstant>,
+                ::caller< 3, T, D, BrdColConstant>,
+                ::caller< 4, T, D, BrdColConstant>,
+                ::caller< 5, T, D, BrdColConstant>,
+                ::caller< 6, T, D, BrdColConstant>,
+                ::caller< 7, T, D, BrdColConstant>,
+                ::caller< 8, T, D, BrdColConstant>,
+                ::caller< 9, T, D, BrdColConstant>,
+                ::caller<10, T, D, BrdColConstant>,
+                ::caller<11, T, D, BrdColConstant>,
+                ::caller<12, T, D, BrdColConstant>,
+                ::caller<13, T, D, BrdColConstant>,
+                ::caller<14, T, D, BrdColConstant>,
+                ::caller<15, T, D, BrdColConstant>,
+                ::caller<16, T, D, BrdColConstant>,
+                ::caller<17, T, D, BrdColConstant>,
+                ::caller<18, T, D, BrdColConstant>,
+                ::caller<19, T, D, BrdColConstant>,
+                ::caller<20, T, D, BrdColConstant>,
+                ::caller<21, T, D, BrdColConstant>,
+                ::caller<22, T, D, BrdColConstant>,
+                ::caller<23, T, D, BrdColConstant>,
+                ::caller<24, T, D, BrdColConstant>,
+                ::caller<25, T, D, BrdColConstant>,
+                ::caller<26, T, D, BrdColConstant>,
+                ::caller<27, T, D, BrdColConstant>,
+                ::caller<28, T, D, BrdColConstant>,
+                ::caller<29, T, D, BrdColConstant>,
+                ::caller<30, T, D, BrdColConstant>,
+                ::caller<31, T, D, BrdColConstant>,
+                ::caller<32, T, D, BrdColConstant>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdColReflect>,
+                ::caller< 2, T, D, BrdColReflect>,
+                ::caller< 3, T, D, BrdColReflect>,
+                ::caller< 4, T, D, BrdColReflect>,
+                ::caller< 5, T, D, BrdColReflect>,
+                ::caller< 6, T, D, BrdColReflect>,
+                ::caller< 7, T, D, BrdColReflect>,
+                ::caller< 8, T, D, BrdColReflect>,
+                ::caller< 9, T, D, BrdColReflect>,
+                ::caller<10, T, D, BrdColReflect>,
+                ::caller<11, T, D, BrdColReflect>,
+                ::caller<12, T, D, BrdColReflect>,
+                ::caller<13, T, D, BrdColReflect>,
+                ::caller<14, T, D, BrdColReflect>,
+                ::caller<15, T, D, BrdColReflect>,
+                ::caller<16, T, D, BrdColReflect>,
+                ::caller<17, T, D, BrdColReflect>,
+                ::caller<18, T, D, BrdColReflect>,
+                ::caller<19, T, D, BrdColReflect>,
+                ::caller<20, T, D, BrdColReflect>,
+                ::caller<21, T, D, BrdColReflect>,
+                ::caller<22, T, D, BrdColReflect>,
+                ::caller<23, T, D, BrdColReflect>,
+                ::caller<24, T, D, BrdColReflect>,
+                ::caller<25, T, D, BrdColReflect>,
+                ::caller<26, T, D, BrdColReflect>,
+                ::caller<27, T, D, BrdColReflect>,
+                ::caller<28, T, D, BrdColReflect>,
+                ::caller<29, T, D, BrdColReflect>,
+                ::caller<30, T, D, BrdColReflect>,
+                ::caller<31, T, D, BrdColReflect>,
+                ::caller<32, T, D, BrdColReflect>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdColWrap>,
+                ::caller< 2, T, D, BrdColWrap>,
+                ::caller< 3, T, D, BrdColWrap>,
+                ::caller< 4, T, D, BrdColWrap>,
+                ::caller< 5, T, D, BrdColWrap>,
+                ::caller< 6, T, D, BrdColWrap>,
+                ::caller< 7, T, D, BrdColWrap>,
+                ::caller< 8, T, D, BrdColWrap>,
+                ::caller< 9, T, D, BrdColWrap>,
+                ::caller<10, T, D, BrdColWrap>,
+                ::caller<11, T, D, BrdColWrap>,
+                ::caller<12, T, D, BrdColWrap>,
+                ::caller<13, T, D, BrdColWrap>,
+                ::caller<14, T, D, BrdColWrap>,
+                ::caller<15, T, D, BrdColWrap>,
+                ::caller<16, T, D, BrdColWrap>,
+                ::caller<17, T, D, BrdColWrap>,
+                ::caller<18, T, D, BrdColWrap>,
+                ::caller<19, T, D, BrdColWrap>,
+                ::caller<20, T, D, BrdColWrap>,
+                ::caller<21, T, D, BrdColWrap>,
+                ::caller<22, T, D, BrdColWrap>,
+                ::caller<23, T, D, BrdColWrap>,
+                ::caller<24, T, D, BrdColWrap>,
+                ::caller<25, T, D, BrdColWrap>,
+                ::caller<26, T, D, BrdColWrap>,
+                ::caller<27, T, D, BrdColWrap>,
+                ::caller<28, T, D, BrdColWrap>,
+                ::caller<29, T, D, BrdColWrap>,
+                ::caller<30, T, D, BrdColWrap>,
+                ::caller<31, T, D, BrdColWrap>,
+                ::caller<32, T, D, BrdColWrap>
+            }
+        };
+
+        ::loadKernel(kernel, ksize, stream);
+
+        callers[brd_type][ksize]((PtrStepSz<T>)src, (PtrStepSz<D>)dst, anchor, cc, stream);
+    }
+}
diff --git a/modules/gpu/src/cuda/row_filter.0.cu b/modules/gpu/src/cuda/row_filter.0.cu
new file mode 100644 (file)
index 0000000..a1a8f36
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<uchar, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.1.cu b/modules/gpu/src/cuda/row_filter.1.cu
new file mode 100644 (file)
index 0000000..ab2248e
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<uchar3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.2.cu b/modules/gpu/src/cuda/row_filter.2.cu
new file mode 100644 (file)
index 0000000..5aa2e2b
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<uchar4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.3.cu b/modules/gpu/src/cuda/row_filter.3.cu
new file mode 100644 (file)
index 0000000..9d131a9
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<short3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.4.cu b/modules/gpu/src/cuda/row_filter.4.cu
new file mode 100644 (file)
index 0000000..0aae534
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<int, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.5.cu b/modules/gpu/src/cuda/row_filter.5.cu
new file mode 100644 (file)
index 0000000..dd1f2be
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<float, float>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.6.cu b/modules/gpu/src/cuda/row_filter.6.cu
new file mode 100644 (file)
index 0000000..548069d
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<float3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.7.cu b/modules/gpu/src/cuda/row_filter.7.cu
new file mode 100644 (file)
index 0000000..8c5c09e
--- /dev/null
@@ -0,0 +1,53 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#if !defined CUDA_DISABLER
+
+#include "row_filter.h"
+
+namespace filter
+{
+    template void linearRow<float4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
+
+#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.cu b/modules/gpu/src/cuda/row_filter.cu
deleted file mode 100644 (file)
index 39fc53f..0000000
+++ /dev/null
@@ -1,390 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's 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.
-//
-//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#if !defined CUDA_DISABLER
-
-#include "internal_shared.hpp"
-#include "opencv2/gpu/device/saturate_cast.hpp"
-#include "opencv2/gpu/device/vec_math.hpp"
-#include "opencv2/gpu/device/limits.hpp"
-#include "opencv2/gpu/device/border_interpolate.hpp"
-#include "opencv2/gpu/device/static_check.hpp"
-
-namespace cv { namespace gpu { namespace device
-{
-    namespace row_filter
-    {
-        #define MAX_KERNEL_SIZE 32
-
-        __constant__ float c_kernel[MAX_KERNEL_SIZE];
-
-        void loadKernel(const float* kernel, int ksize, cudaStream_t stream)
-        {
-            if (stream == 0)
-                cudaSafeCall( cudaMemcpyToSymbol(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice) );
-            else
-                cudaSafeCall( cudaMemcpyToSymbolAsync(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice, stream) );
-        }
-
-        template <int KSIZE, typename T, typename D, typename B>
-        __global__ void linearRowFilter(const PtrStepSz<T> src, PtrStep<D> dst, const int anchor, const B brd)
-        {
-            #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 200)
-                const int BLOCK_DIM_X = 32;
-                const int BLOCK_DIM_Y = 8;
-                const int PATCH_PER_BLOCK = 4;
-                const int HALO_SIZE = 1;
-            #else
-                const int BLOCK_DIM_X = 32;
-                const int BLOCK_DIM_Y = 4;
-                const int PATCH_PER_BLOCK = 4;
-                const int HALO_SIZE = 1;
-            #endif
-
-            typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type sum_t;
-
-            __shared__ sum_t smem[BLOCK_DIM_Y][(PATCH_PER_BLOCK + 2 * HALO_SIZE) * BLOCK_DIM_X];
-
-            const int y = blockIdx.y * BLOCK_DIM_Y + threadIdx.y;
-
-            if (y >= src.rows)
-                return;
-
-            const T* src_row = src.ptr(y);
-
-            const int xStart = blockIdx.x * (PATCH_PER_BLOCK * BLOCK_DIM_X) + threadIdx.x;
-
-            if (blockIdx.x > 0)
-            {
-                //Load left halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y][threadIdx.x + j * BLOCK_DIM_X] = saturate_cast<sum_t>(src_row[xStart - (HALO_SIZE - j) * BLOCK_DIM_X]);
-            }
-            else
-            {
-                //Load left halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y][threadIdx.x + j * BLOCK_DIM_X] = saturate_cast<sum_t>(brd.at_low(xStart - (HALO_SIZE - j) * BLOCK_DIM_X, src_row));
-            }
-
-            if (blockIdx.x + 2 < gridDim.x)
-            {
-                //Load main data
-                #pragma unroll
-                for (int j = 0; j < PATCH_PER_BLOCK; ++j)
-                    smem[threadIdx.y][threadIdx.x + HALO_SIZE * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(src_row[xStart + j * BLOCK_DIM_X]);
-
-                //Load right halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y][threadIdx.x + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(src_row[xStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_X]);
-            }
-            else
-            {
-                //Load main data
-                #pragma unroll
-                for (int j = 0; j < PATCH_PER_BLOCK; ++j)
-                    smem[threadIdx.y][threadIdx.x + HALO_SIZE * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(brd.at_high(xStart + j * BLOCK_DIM_X, src_row));
-
-                //Load right halo
-                #pragma unroll
-                for (int j = 0; j < HALO_SIZE; ++j)
-                    smem[threadIdx.y][threadIdx.x + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(brd.at_high(xStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_X, src_row));
-            }
-
-            __syncthreads();
-
-            #pragma unroll
-            for (int j = 0; j < PATCH_PER_BLOCK; ++j)
-            {
-                const int x = xStart + j * BLOCK_DIM_X;
-
-                if (x < src.cols)
-                {
-                    sum_t sum = VecTraits<sum_t>::all(0);
-
-                    #pragma unroll
-                    for (int k = 0; k < KSIZE; ++k)
-                        sum = sum + smem[threadIdx.y][threadIdx.x + HALO_SIZE * BLOCK_DIM_X + j * BLOCK_DIM_X - anchor + k] * c_kernel[k];
-
-                    dst(y, x) = saturate_cast<D>(sum);
-                }
-            }
-        }
-
-        template <int KSIZE, typename T, typename D, template<typename> class B>
-        void linearRowFilter_caller(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream)
-        {
-            int BLOCK_DIM_X;
-            int BLOCK_DIM_Y;
-            int PATCH_PER_BLOCK;
-
-            if (cc >= 20)
-            {
-                BLOCK_DIM_X = 32;
-                BLOCK_DIM_Y = 8;
-                PATCH_PER_BLOCK = 4;
-            }
-            else
-            {
-                BLOCK_DIM_X = 32;
-                BLOCK_DIM_Y = 4;
-                PATCH_PER_BLOCK = 4;
-            }
-
-            const dim3 block(BLOCK_DIM_X, BLOCK_DIM_Y);
-            const dim3 grid(divUp(src.cols, BLOCK_DIM_X * PATCH_PER_BLOCK), divUp(src.rows, BLOCK_DIM_Y));
-
-            B<T> brd(src.cols);
-
-            linearRowFilter<KSIZE, T, D><<<grid, block, 0, stream>>>(src, dst, anchor, brd);
-            cudaSafeCall( cudaGetLastError() );
-
-            if (stream == 0)
-                cudaSafeCall( cudaDeviceSynchronize() );
-        }
-
-        template <typename T, typename D>
-        void linearRowFilter_gpu(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream)
-        {
-            typedef void (*caller_t)(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream);
-
-            static const caller_t callers[5][33] =
-            {
-                {
-                    0,
-                    linearRowFilter_caller< 1, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 2, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 3, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 4, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 5, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 6, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 7, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 8, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller< 9, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<10, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<11, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<12, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<13, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<14, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<15, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<16, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<17, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<18, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<19, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<20, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<21, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<22, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<23, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<24, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<25, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<26, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<27, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<28, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<29, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<30, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<31, T, D, BrdRowReflect101>,
-                    linearRowFilter_caller<32, T, D, BrdRowReflect101>
-                },
-                {
-                    0,
-                    linearRowFilter_caller< 1, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 2, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 3, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 4, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 5, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 6, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 7, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 8, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller< 9, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<10, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<11, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<12, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<13, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<14, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<15, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<16, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<17, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<18, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<19, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<20, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<21, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<22, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<23, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<24, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<25, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<26, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<27, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<28, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<29, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<30, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<31, T, D, BrdRowReplicate>,
-                    linearRowFilter_caller<32, T, D, BrdRowReplicate>
-                },
-                {
-                    0,
-                    linearRowFilter_caller< 1, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 2, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 3, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 4, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 5, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 6, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 7, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 8, T, D, BrdRowConstant>,
-                    linearRowFilter_caller< 9, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<10, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<11, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<12, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<13, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<14, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<15, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<16, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<17, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<18, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<19, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<20, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<21, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<22, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<23, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<24, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<25, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<26, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<27, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<28, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<29, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<30, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<31, T, D, BrdRowConstant>,
-                    linearRowFilter_caller<32, T, D, BrdRowConstant>
-                },
-                {
-                    0,
-                    linearRowFilter_caller< 1, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 2, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 3, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 4, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 5, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 6, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 7, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 8, T, D, BrdRowReflect>,
-                    linearRowFilter_caller< 9, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<10, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<11, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<12, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<13, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<14, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<15, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<16, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<17, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<18, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<19, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<20, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<21, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<22, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<23, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<24, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<25, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<26, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<27, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<28, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<29, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<30, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<31, T, D, BrdRowReflect>,
-                    linearRowFilter_caller<32, T, D, BrdRowReflect>
-                },
-                {
-                    0,
-                    linearRowFilter_caller< 1, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 2, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 3, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 4, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 5, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 6, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 7, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 8, T, D, BrdRowWrap>,
-                    linearRowFilter_caller< 9, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<10, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<11, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<12, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<13, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<14, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<15, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<16, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<17, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<18, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<19, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<20, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<21, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<22, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<23, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<24, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<25, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<26, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<27, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<28, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<29, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<30, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<31, T, D, BrdRowWrap>,
-                    linearRowFilter_caller<32, T, D, BrdRowWrap>
-                }
-            };
-
-            loadKernel(kernel, ksize, stream);
-
-            callers[brd_type][ksize]((PtrStepSz<T>)src, (PtrStepSz<D>)dst, anchor, cc, stream);
-        }
-
-        template void linearRowFilter_gpu<uchar , float >(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearRowFilter_gpu<uchar3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearRowFilter_gpu<uchar4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearRowFilter_gpu<short3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearRowFilter_gpu<int   , float >(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearRowFilter_gpu<float , float >(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearRowFilter_gpu<float3, float3>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-        template void linearRowFilter_gpu<float4, float4>(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-    } // namespace row_filter
-}}} // namespace cv { namespace gpu { namespace device
-
-
-#endif /* CUDA_DISABLER */
diff --git a/modules/gpu/src/cuda/row_filter.h b/modules/gpu/src/cuda/row_filter.h
new file mode 100644 (file)
index 0000000..0da2dfe
--- /dev/null
@@ -0,0 +1,377 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Copyright (C) 1993-2011, NVIDIA Corporation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's 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.
+//
+//   * The name of the copyright holders may not 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 the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "opencv2/gpu/device/common.hpp"
+#include "opencv2/gpu/device/saturate_cast.hpp"
+#include "opencv2/gpu/device/vec_math.hpp"
+#include "opencv2/gpu/device/border_interpolate.hpp"
+
+using namespace cv::gpu;
+using namespace cv::gpu::device;
+
+namespace
+{
+    #define MAX_KERNEL_SIZE 32
+
+    __constant__ float c_kernel[MAX_KERNEL_SIZE];
+
+    void loadKernel(const float* kernel, int ksize, cudaStream_t stream)
+    {
+        if (stream == 0)
+            cudaSafeCall( cudaMemcpyToSymbol(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice) );
+        else
+            cudaSafeCall( cudaMemcpyToSymbolAsync(c_kernel, kernel, ksize * sizeof(float), 0, cudaMemcpyDeviceToDevice, stream) );
+    }
+
+    template <int KSIZE, typename T, typename D, typename B>
+    __global__ void linearRowFilter(const PtrStepSz<T> src, PtrStep<D> dst, const int anchor, const B brd)
+    {
+        #if defined(__CUDA_ARCH__) && (__CUDA_ARCH__ >= 200)
+            const int BLOCK_DIM_X = 32;
+            const int BLOCK_DIM_Y = 8;
+            const int PATCH_PER_BLOCK = 4;
+            const int HALO_SIZE = 1;
+        #else
+            const int BLOCK_DIM_X = 32;
+            const int BLOCK_DIM_Y = 4;
+            const int PATCH_PER_BLOCK = 4;
+            const int HALO_SIZE = 1;
+        #endif
+
+        typedef typename TypeVec<float, VecTraits<T>::cn>::vec_type sum_t;
+
+        __shared__ sum_t smem[BLOCK_DIM_Y][(PATCH_PER_BLOCK + 2 * HALO_SIZE) * BLOCK_DIM_X];
+
+        const int y = blockIdx.y * BLOCK_DIM_Y + threadIdx.y;
+
+        if (y >= src.rows)
+            return;
+
+        const T* src_row = src.ptr(y);
+
+        const int xStart = blockIdx.x * (PATCH_PER_BLOCK * BLOCK_DIM_X) + threadIdx.x;
+
+        if (blockIdx.x > 0)
+        {
+            //Load left halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y][threadIdx.x + j * BLOCK_DIM_X] = saturate_cast<sum_t>(src_row[xStart - (HALO_SIZE - j) * BLOCK_DIM_X]);
+        }
+        else
+        {
+            //Load left halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y][threadIdx.x + j * BLOCK_DIM_X] = saturate_cast<sum_t>(brd.at_low(xStart - (HALO_SIZE - j) * BLOCK_DIM_X, src_row));
+        }
+
+        if (blockIdx.x + 2 < gridDim.x)
+        {
+            //Load main data
+            #pragma unroll
+            for (int j = 0; j < PATCH_PER_BLOCK; ++j)
+                smem[threadIdx.y][threadIdx.x + HALO_SIZE * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(src_row[xStart + j * BLOCK_DIM_X]);
+
+            //Load right halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y][threadIdx.x + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(src_row[xStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_X]);
+        }
+        else
+        {
+            //Load main data
+            #pragma unroll
+            for (int j = 0; j < PATCH_PER_BLOCK; ++j)
+                smem[threadIdx.y][threadIdx.x + HALO_SIZE * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(brd.at_high(xStart + j * BLOCK_DIM_X, src_row));
+
+            //Load right halo
+            #pragma unroll
+            for (int j = 0; j < HALO_SIZE; ++j)
+                smem[threadIdx.y][threadIdx.x + (PATCH_PER_BLOCK + HALO_SIZE) * BLOCK_DIM_X + j * BLOCK_DIM_X] = saturate_cast<sum_t>(brd.at_high(xStart + (PATCH_PER_BLOCK + j) * BLOCK_DIM_X, src_row));
+        }
+
+        __syncthreads();
+
+        #pragma unroll
+        for (int j = 0; j < PATCH_PER_BLOCK; ++j)
+        {
+            const int x = xStart + j * BLOCK_DIM_X;
+
+            if (x < src.cols)
+            {
+                sum_t sum = VecTraits<sum_t>::all(0);
+
+                #pragma unroll
+                for (int k = 0; k < KSIZE; ++k)
+                    sum = sum + smem[threadIdx.y][threadIdx.x + HALO_SIZE * BLOCK_DIM_X + j * BLOCK_DIM_X - anchor + k] * c_kernel[k];
+
+                dst(y, x) = saturate_cast<D>(sum);
+            }
+        }
+    }
+
+    template <int KSIZE, typename T, typename D, template<typename> class B>
+    void caller(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream)
+    {
+        int BLOCK_DIM_X;
+        int BLOCK_DIM_Y;
+        int PATCH_PER_BLOCK;
+
+        if (cc >= 20)
+        {
+            BLOCK_DIM_X = 32;
+            BLOCK_DIM_Y = 8;
+            PATCH_PER_BLOCK = 4;
+        }
+        else
+        {
+            BLOCK_DIM_X = 32;
+            BLOCK_DIM_Y = 4;
+            PATCH_PER_BLOCK = 4;
+        }
+
+        const dim3 block(BLOCK_DIM_X, BLOCK_DIM_Y);
+        const dim3 grid(divUp(src.cols, BLOCK_DIM_X * PATCH_PER_BLOCK), divUp(src.rows, BLOCK_DIM_Y));
+
+        B<T> brd(src.cols);
+
+        linearRowFilter<KSIZE, T, D><<<grid, block, 0, stream>>>(src, dst, anchor, brd);
+        cudaSafeCall( cudaGetLastError() );
+
+        if (stream == 0)
+            cudaSafeCall( cudaDeviceSynchronize() );
+    }
+}
+
+namespace filter
+{
+    template <typename T, typename D>
+    void linearRow(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream)
+    {
+        typedef void (*caller_t)(PtrStepSz<T> src, PtrStepSz<D> dst, int anchor, int cc, cudaStream_t stream);
+
+        static const caller_t callers[5][33] =
+        {
+            {
+                0,
+                ::caller< 1, T, D, BrdRowReflect101>,
+                ::caller< 2, T, D, BrdRowReflect101>,
+                ::caller< 3, T, D, BrdRowReflect101>,
+                ::caller< 4, T, D, BrdRowReflect101>,
+                ::caller< 5, T, D, BrdRowReflect101>,
+                ::caller< 6, T, D, BrdRowReflect101>,
+                ::caller< 7, T, D, BrdRowReflect101>,
+                ::caller< 8, T, D, BrdRowReflect101>,
+                ::caller< 9, T, D, BrdRowReflect101>,
+                ::caller<10, T, D, BrdRowReflect101>,
+                ::caller<11, T, D, BrdRowReflect101>,
+                ::caller<12, T, D, BrdRowReflect101>,
+                ::caller<13, T, D, BrdRowReflect101>,
+                ::caller<14, T, D, BrdRowReflect101>,
+                ::caller<15, T, D, BrdRowReflect101>,
+                ::caller<16, T, D, BrdRowReflect101>,
+                ::caller<17, T, D, BrdRowReflect101>,
+                ::caller<18, T, D, BrdRowReflect101>,
+                ::caller<19, T, D, BrdRowReflect101>,
+                ::caller<20, T, D, BrdRowReflect101>,
+                ::caller<21, T, D, BrdRowReflect101>,
+                ::caller<22, T, D, BrdRowReflect101>,
+                ::caller<23, T, D, BrdRowReflect101>,
+                ::caller<24, T, D, BrdRowReflect101>,
+                ::caller<25, T, D, BrdRowReflect101>,
+                ::caller<26, T, D, BrdRowReflect101>,
+                ::caller<27, T, D, BrdRowReflect101>,
+                ::caller<28, T, D, BrdRowReflect101>,
+                ::caller<29, T, D, BrdRowReflect101>,
+                ::caller<30, T, D, BrdRowReflect101>,
+                ::caller<31, T, D, BrdRowReflect101>,
+                ::caller<32, T, D, BrdRowReflect101>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdRowReplicate>,
+                ::caller< 2, T, D, BrdRowReplicate>,
+                ::caller< 3, T, D, BrdRowReplicate>,
+                ::caller< 4, T, D, BrdRowReplicate>,
+                ::caller< 5, T, D, BrdRowReplicate>,
+                ::caller< 6, T, D, BrdRowReplicate>,
+                ::caller< 7, T, D, BrdRowReplicate>,
+                ::caller< 8, T, D, BrdRowReplicate>,
+                ::caller< 9, T, D, BrdRowReplicate>,
+                ::caller<10, T, D, BrdRowReplicate>,
+                ::caller<11, T, D, BrdRowReplicate>,
+                ::caller<12, T, D, BrdRowReplicate>,
+                ::caller<13, T, D, BrdRowReplicate>,
+                ::caller<14, T, D, BrdRowReplicate>,
+                ::caller<15, T, D, BrdRowReplicate>,
+                ::caller<16, T, D, BrdRowReplicate>,
+                ::caller<17, T, D, BrdRowReplicate>,
+                ::caller<18, T, D, BrdRowReplicate>,
+                ::caller<19, T, D, BrdRowReplicate>,
+                ::caller<20, T, D, BrdRowReplicate>,
+                ::caller<21, T, D, BrdRowReplicate>,
+                ::caller<22, T, D, BrdRowReplicate>,
+                ::caller<23, T, D, BrdRowReplicate>,
+                ::caller<24, T, D, BrdRowReplicate>,
+                ::caller<25, T, D, BrdRowReplicate>,
+                ::caller<26, T, D, BrdRowReplicate>,
+                ::caller<27, T, D, BrdRowReplicate>,
+                ::caller<28, T, D, BrdRowReplicate>,
+                ::caller<29, T, D, BrdRowReplicate>,
+                ::caller<30, T, D, BrdRowReplicate>,
+                ::caller<31, T, D, BrdRowReplicate>,
+                ::caller<32, T, D, BrdRowReplicate>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdRowConstant>,
+                ::caller< 2, T, D, BrdRowConstant>,
+                ::caller< 3, T, D, BrdRowConstant>,
+                ::caller< 4, T, D, BrdRowConstant>,
+                ::caller< 5, T, D, BrdRowConstant>,
+                ::caller< 6, T, D, BrdRowConstant>,
+                ::caller< 7, T, D, BrdRowConstant>,
+                ::caller< 8, T, D, BrdRowConstant>,
+                ::caller< 9, T, D, BrdRowConstant>,
+                ::caller<10, T, D, BrdRowConstant>,
+                ::caller<11, T, D, BrdRowConstant>,
+                ::caller<12, T, D, BrdRowConstant>,
+                ::caller<13, T, D, BrdRowConstant>,
+                ::caller<14, T, D, BrdRowConstant>,
+                ::caller<15, T, D, BrdRowConstant>,
+                ::caller<16, T, D, BrdRowConstant>,
+                ::caller<17, T, D, BrdRowConstant>,
+                ::caller<18, T, D, BrdRowConstant>,
+                ::caller<19, T, D, BrdRowConstant>,
+                ::caller<20, T, D, BrdRowConstant>,
+                ::caller<21, T, D, BrdRowConstant>,
+                ::caller<22, T, D, BrdRowConstant>,
+                ::caller<23, T, D, BrdRowConstant>,
+                ::caller<24, T, D, BrdRowConstant>,
+                ::caller<25, T, D, BrdRowConstant>,
+                ::caller<26, T, D, BrdRowConstant>,
+                ::caller<27, T, D, BrdRowConstant>,
+                ::caller<28, T, D, BrdRowConstant>,
+                ::caller<29, T, D, BrdRowConstant>,
+                ::caller<30, T, D, BrdRowConstant>,
+                ::caller<31, T, D, BrdRowConstant>,
+                ::caller<32, T, D, BrdRowConstant>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdRowReflect>,
+                ::caller< 2, T, D, BrdRowReflect>,
+                ::caller< 3, T, D, BrdRowReflect>,
+                ::caller< 4, T, D, BrdRowReflect>,
+                ::caller< 5, T, D, BrdRowReflect>,
+                ::caller< 6, T, D, BrdRowReflect>,
+                ::caller< 7, T, D, BrdRowReflect>,
+                ::caller< 8, T, D, BrdRowReflect>,
+                ::caller< 9, T, D, BrdRowReflect>,
+                ::caller<10, T, D, BrdRowReflect>,
+                ::caller<11, T, D, BrdRowReflect>,
+                ::caller<12, T, D, BrdRowReflect>,
+                ::caller<13, T, D, BrdRowReflect>,
+                ::caller<14, T, D, BrdRowReflect>,
+                ::caller<15, T, D, BrdRowReflect>,
+                ::caller<16, T, D, BrdRowReflect>,
+                ::caller<17, T, D, BrdRowReflect>,
+                ::caller<18, T, D, BrdRowReflect>,
+                ::caller<19, T, D, BrdRowReflect>,
+                ::caller<20, T, D, BrdRowReflect>,
+                ::caller<21, T, D, BrdRowReflect>,
+                ::caller<22, T, D, BrdRowReflect>,
+                ::caller<23, T, D, BrdRowReflect>,
+                ::caller<24, T, D, BrdRowReflect>,
+                ::caller<25, T, D, BrdRowReflect>,
+                ::caller<26, T, D, BrdRowReflect>,
+                ::caller<27, T, D, BrdRowReflect>,
+                ::caller<28, T, D, BrdRowReflect>,
+                ::caller<29, T, D, BrdRowReflect>,
+                ::caller<30, T, D, BrdRowReflect>,
+                ::caller<31, T, D, BrdRowReflect>,
+                ::caller<32, T, D, BrdRowReflect>
+            },
+            {
+                0,
+                ::caller< 1, T, D, BrdRowWrap>,
+                ::caller< 2, T, D, BrdRowWrap>,
+                ::caller< 3, T, D, BrdRowWrap>,
+                ::caller< 4, T, D, BrdRowWrap>,
+                ::caller< 5, T, D, BrdRowWrap>,
+                ::caller< 6, T, D, BrdRowWrap>,
+                ::caller< 7, T, D, BrdRowWrap>,
+                ::caller< 8, T, D, BrdRowWrap>,
+                ::caller< 9, T, D, BrdRowWrap>,
+                ::caller<10, T, D, BrdRowWrap>,
+                ::caller<11, T, D, BrdRowWrap>,
+                ::caller<12, T, D, BrdRowWrap>,
+                ::caller<13, T, D, BrdRowWrap>,
+                ::caller<14, T, D, BrdRowWrap>,
+                ::caller<15, T, D, BrdRowWrap>,
+                ::caller<16, T, D, BrdRowWrap>,
+                ::caller<17, T, D, BrdRowWrap>,
+                ::caller<18, T, D, BrdRowWrap>,
+                ::caller<19, T, D, BrdRowWrap>,
+                ::caller<20, T, D, BrdRowWrap>,
+                ::caller<21, T, D, BrdRowWrap>,
+                ::caller<22, T, D, BrdRowWrap>,
+                ::caller<23, T, D, BrdRowWrap>,
+                ::caller<24, T, D, BrdRowWrap>,
+                ::caller<25, T, D, BrdRowWrap>,
+                ::caller<26, T, D, BrdRowWrap>,
+                ::caller<27, T, D, BrdRowWrap>,
+                ::caller<28, T, D, BrdRowWrap>,
+                ::caller<29, T, D, BrdRowWrap>,
+                ::caller<30, T, D, BrdRowWrap>,
+                ::caller<31, T, D, BrdRowWrap>,
+                ::caller<32, T, D, BrdRowWrap>
+            }
+        };
+
+        loadKernel(kernel, ksize, stream);
+
+        callers[brd_type][ksize]((PtrStepSz<T>)src, (PtrStepSz<D>)dst, anchor, cc, stream);
+    }
+}
index 77ed46e..6b7135a 100644 (file)
@@ -830,20 +830,14 @@ void cv::gpu::filter2D(const GpuMat& src, GpuMat& dst, int ddepth, const Mat& ke
 ////////////////////////////////////////////////////////////////////////////////////////////////////
 // Separable Linear Filter
 
-namespace cv { namespace gpu { namespace device
+namespace filter
 {
-    namespace row_filter
-    {
-        template <typename T, typename D>
-        void linearRowFilter_gpu(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-    }
+    template <typename T, typename D>
+    void linearRow(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
 
-    namespace column_filter
-    {
-        template <typename T, typename D>
-        void linearColumnFilter_gpu(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
-    }
-}}}
+    template <typename T, typename D>
+    void linearColumn(PtrStepSzb src, PtrStepSzb dst, const float* kernel, int ksize, int anchor, int brd_type, int cc, cudaStream_t stream);
+}
 
 namespace
 {
@@ -899,8 +893,6 @@ namespace
 
 Ptr<BaseRowFilter_GPU> cv::gpu::getLinearRowFilter_GPU(int srcType, int bufType, const Mat& rowKernel, int anchor, int borderType)
 {
-    using namespace ::cv::gpu::device::row_filter;
-
     static const nppFilter1D_t nppFilter1D_callers[] = {0, nppiFilterRow_8u_C1R, 0, 0, nppiFilterRow_8u_C4R};
 
     if ((bufType == srcType) && (srcType == CV_8UC1 || srcType == CV_8UC4))
@@ -940,28 +932,28 @@ Ptr<BaseRowFilter_GPU> cv::gpu::getLinearRowFilter_GPU(int srcType, int bufType,
     switch (srcType)
     {
     case CV_8UC1:
-        func = linearRowFilter_gpu<uchar, float>;
+        func = filter::linearRow<uchar, float>;
         break;
     case CV_8UC3:
-        func = linearRowFilter_gpu<uchar3, float3>;
+        func = filter::linearRow<uchar3, float3>;
         break;
     case CV_8UC4:
-        func = linearRowFilter_gpu<uchar4, float4>;
+        func = filter::linearRow<uchar4, float4>;
         break;
     case CV_16SC3:
-        func = linearRowFilter_gpu<short3, float3>;
+        func = filter::linearRow<short3, float3>;
         break;
     case CV_32SC1:
-        func = linearRowFilter_gpu<int, float>;
+        func = filter::linearRow<int, float>;
         break;
     case CV_32FC1:
-        func = linearRowFilter_gpu<float, float>;
+        func = filter::linearRow<float, float>;
         break;
     case CV_32FC3:
-        func = linearRowFilter_gpu<float3, float3>;
+        func = filter::linearRow<float3, float3>;
         break;
     case CV_32FC4:
-        func = linearRowFilter_gpu<float4, float4>;
+        func = filter::linearRow<float4, float4>;
         break;
     }
 
@@ -1020,8 +1012,6 @@ namespace
 
 Ptr<BaseColumnFilter_GPU> cv::gpu::getLinearColumnFilter_GPU(int bufType, int dstType, const Mat& columnKernel, int anchor, int borderType)
 {
-    using namespace ::cv::gpu::device::column_filter;
-
     static const nppFilter1D_t nppFilter1D_callers[] = {0, nppiFilterColumn_8u_C1R, 0, 0, nppiFilterColumn_8u_C4R};
 
     if ((bufType == dstType) && (bufType == CV_8UC1 || bufType == CV_8UC4))
@@ -1061,28 +1051,28 @@ Ptr<BaseColumnFilter_GPU> cv::gpu::getLinearColumnFilter_GPU(int bufType, int ds
     switch (dstType)
     {
     case CV_8UC1:
-        func = linearColumnFilter_gpu<float, uchar>;
+        func = filter::linearColumn<float, uchar>;
         break;
     case CV_8UC3:
-        func = linearColumnFilter_gpu<float3, uchar3>;
+        func = filter::linearColumn<float3, uchar3>;
         break;
     case CV_8UC4:
-        func = linearColumnFilter_gpu<float4, uchar4>;
+        func = filter::linearColumn<float4, uchar4>;
         break;
     case CV_16SC3:
-        func = linearColumnFilter_gpu<float3, short3>;
+        func = filter::linearColumn<float3, short3>;
         break;
     case CV_32SC1:
-        func = linearColumnFilter_gpu<float, int>;
+        func = filter::linearColumn<float, int>;
         break;
     case CV_32FC1:
-        func = linearColumnFilter_gpu<float, float>;
+        func = filter::linearColumn<float, float>;
         break;
     case CV_32FC3:
-        func = linearColumnFilter_gpu<float3, float3>;
+        func = filter::linearColumn<float3, float3>;
         break;
     case CV_32FC4:
-        func = linearColumnFilter_gpu<float4, float4>;
+        func = filter::linearColumn<float4, float4>;
         break;
     }