mirror of
https://github.com/opencv/opencv.git
synced 2025-06-10 19:24:07 +08:00
Added files for implementation of operations SetTo()
This commit is contained in:
parent
08cba33f9d
commit
1d93ca00de
@ -1,7 +1,6 @@
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set(name "gpu")
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set(name "gpu")
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set(DEPS "opencv_core")
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set(DEPS "opencv_core")
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set(the_target "opencv_${name}")
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set(the_target "opencv_${name}")
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@ -15,20 +14,20 @@ include_directories("${CMAKE_CURRENT_SOURCE_DIR}/include"
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"${CMAKE_CURRENT_BINARY_DIR}")
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"${CMAKE_CURRENT_BINARY_DIR}")
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foreach(d ${DEPS})
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foreach(d ${DEPS})
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if(${d} MATCHES "opencv_")
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if(${d} MATCHES "opencv_")
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string(REPLACE "opencv_" "${CMAKE_CURRENT_SOURCE_DIR}/../" d_dir ${d})
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string(REPLACE "opencv_" "${CMAKE_CURRENT_SOURCE_DIR}/../" d_dir ${d})
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include_directories("${d_dir}/include")
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include_directories("${d_dir}/include")
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endif()
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endif()
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endforeach()
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endforeach()
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file(GLOB lib_srcs "src/*.cpp")
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file(GLOB lib_srcs "src/*.cpp")
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file(GLOB lib_int_hdrs "src/*.h*")
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file(GLOB lib_int_hdrs "src/*.h*")
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file(GLOB lib_cuda "cuda/*.cu")
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file(GLOB lib_cuda "cuda/*.cu")
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file(GLOB lib_cuda_hdrs "cuda/*.h*")
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file(GLOB lib_cuda_hdrs "cuda/*.h*")
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source_group("Src" FILES ${lib_srcs} ${lib_int_hdrs})
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source_group("Src" FILES ${lib_srcs} ${lib_int_hdrs})
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source_group("Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs})
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source_group("Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs})
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file(GLOB lib_hdrs "include/opencv2/${name}/*.h*")
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file(GLOB lib_hdrs "include/opencv2/${name}/*.h*")
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source_group("Include" FILES ${lib_hdrs})
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source_group("Include" FILES ${lib_hdrs})
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if (HAVE_CUDA)
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if (HAVE_CUDA)
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@ -38,11 +37,11 @@ if (HAVE_CUDA)
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if (UNIX OR APPLE)
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if (UNIX OR APPLE)
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set (CUDA_NVCC_FLAGS "-Xcompiler;-fPIC")
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set (CUDA_NVCC_FLAGS "-Xcompiler;-fPIC")
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endif()
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endif()
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CUDA_COMPILE(cuda_objs ${lib_cuda})
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CUDA_COMPILE(cuda_objs ${lib_cuda})
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#CUDA_BUILD_CLEAN_TARGET()
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#CUDA_BUILD_CLEAN_TARGET()
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endif()
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endif()
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add_library(${the_target} ${lib_srcs} ${lib_hdrs} ${lib_int_hdrs} ${lib_cuda} ${lib_cuda_hdrs} ${cuda_objs})
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add_library(${the_target} ${lib_srcs} ${lib_hdrs} ${lib_int_hdrs} ${lib_cuda} ${lib_cuda_hdrs} ${cuda_objs})
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@ -51,7 +50,7 @@ if(PCHSupport_FOUND)
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if(${CMAKE_GENERATOR} MATCHES "Visual*" OR ${CMAKE_GENERATOR} MATCHES "Xcode*")
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if(${CMAKE_GENERATOR} MATCHES "Visual*" OR ${CMAKE_GENERATOR} MATCHES "Xcode*")
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if(${CMAKE_GENERATOR} MATCHES "Visual*")
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if(${CMAKE_GENERATOR} MATCHES "Visual*")
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set(${the_target}_pch "src/precomp.cpp")
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set(${the_target}_pch "src/precomp.cpp")
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endif()
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endif()
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add_native_precompiled_header(${the_target} ${pch_header})
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add_native_precompiled_header(${the_target} ${pch_header})
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elseif(CMAKE_COMPILER_IS_GNUCXX AND ${CMAKE_GENERATOR} MATCHES ".*Makefiles")
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elseif(CMAKE_COMPILER_IS_GNUCXX AND ${CMAKE_GENERATOR} MATCHES ".*Makefiles")
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add_precompiled_header(${the_target} ${pch_header})
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add_precompiled_header(${the_target} ${pch_header})
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@ -48,18 +48,21 @@
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namespace cv
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namespace cv
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{
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{
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namespace gpu
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namespace gpu
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{
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{
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typedef unsigned char uchar;
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typedef unsigned char uchar;
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typedef unsigned short ushort;
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typedef unsigned short ushort;
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typedef unsigned int uint;
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typedef unsigned int uint;
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extern "C" void error( const char *error_string, const char *file, const int line, const char *func = "");
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extern "C" void error( const char *error_string, const char *file, const int line, const char *func = "");
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namespace impl
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namespace impl
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{
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{
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static inline int divUp(int a, int b) { return (a % b == 0) ? a/b : a/b + 1; }
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static inline int divUp(int a, int b) { return (a % b == 0) ? a/b : a/b + 1; }
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extern "C" void stereoBM_GPU(const DevMem2D& left, const DevMem2D& right, DevMem2D& disp, int maxdisp, DevMem2D_<uint>& minSSD_buf);
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extern "C" void stereoBM_GPU(const DevMem2D& left, const DevMem2D& right, DevMem2D& disp, int maxdisp, DevMem2D_<uint>& minSSD_buf);
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extern "C" void set_to_without_mask (const DevMem2D& mat, const double * scalar, int depth, int channels);
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extern "C" void set_to_with_mask (const DevMem2D& mat, const double * scalar, const DevMem2D& mask, int depth, int channels);
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}
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}
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}
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}
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}
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}
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93
modules/gpu/cuda/mat_operators.cu
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93
modules/gpu/cuda/mat_operators.cu
Normal file
@ -0,0 +1,93 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "cuda_shared.hpp"
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#include "cuda_runtime.h"
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__constant__ float scalar_d[4];
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namespace mat_operators
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{
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template <typename T, int channels>
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__global__ void kernel_set_to_without_mask(T * mat)
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{
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int i = blockIdx.x * blockDim.x + threadIdx.x;
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mat[i * sizeof(T)] = static_cast<T>(scalar_d[i % channels]);
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}
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}
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extern "C" void cv::gpu::impl::set_to_with_mask(const DevMem2D& mat, const double * scalar, const DevMem2D& mask, int depth, int channels)
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{
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}
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extern "C" void cv::gpu::impl::set_to_without_mask(const DevMem2D& mat, const double * scalar, int depth, int channels)
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{
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scalar_d[0] = scalar[0];
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scalar_d[1] = scalar[1];
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scalar_d[2] = scalar[2];
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scalar_d[3] = scalar[3];
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int numBlocks = mat.rows * mat.step / 256;
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dim3 threadsPerBlock(256);
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if (channels == 1)
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{
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if (depth == 1) ::mat_operators::kernel_set_to_without_mask<unsigned char, 1><<<numBlocks,threadsPerBlock>>>(mat.ptr);
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if (depth == 2) ::mat_operators::kernel_set_to_without_mask<unsigned short, 1><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr);
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if (depth == 4) ::mat_operators::kernel_set_to_without_mask<unsigned int, 1><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr);
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}
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if (channels == 2)
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{
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if (depth == 1) ::mat_operators::kernel_set_to_without_mask<unsigned char, 2><<<numBlocks,threadsPerBlock>>>(mat.ptr);
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if (depth == 2) ::mat_operators::kernel_set_to_without_mask<unsigned short, 2><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr);
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if (depth == 4) ::mat_operators::kernel_set_to_without_mask<unsigned int, 2><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr);
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}
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if (channels == 3)
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{
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if (depth == 1) ::mat_operators::kernel_set_to_without_mask<unsigned char, 3><<<numBlocks,threadsPerBlock>>>(mat.ptr);
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if (depth == 2) ::mat_operators::kernel_set_to_without_mask<unsigned short, 3><<<numBlocks,threadsPerBlock>>>((unsigned short *)mat.ptr);
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if (depth == 4) ::mat_operators::kernel_set_to_without_mask<unsigned int, 3><<<numBlocks,threadsPerBlock>>>((unsigned int *)mat.ptr);
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}
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}
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@ -41,23 +41,23 @@
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//M*/
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//M*/
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#include "precomp.hpp"
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#include "precomp.hpp"
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#include "opencv2/gpu/stream_access.hpp"
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//#include "opencv2/gpu/stream_access.hpp"
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using namespace cv;
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using namespace cv;
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using namespace cv::gpu;
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using namespace cv::gpu;
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cv::gpu::CudaStream::CudaStream() : impl( (Impl*)fastMalloc(sizeof(Impl)) )
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cv::gpu::CudaStream::CudaStream() //: impl( (Impl*)fastMalloc(sizeof(Impl)) )
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{
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{
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//cudaSafeCall( cudaStreamCreate( &impl->stream) );
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//cudaSafeCall( cudaStreamCreate( &impl->stream) );
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}
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}
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cv::gpu::CudaStream::~CudaStream()
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cv::gpu::CudaStream::~CudaStream()
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{
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{
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if (impl)
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if (impl)
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{
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{
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cudaSafeCall( cudaStreamDestroy( *(cudaStream_t*)impl ) );
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cudaSafeCall( cudaStreamDestroy( *(cudaStream_t*)impl ) );
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cv::fastFree( impl );
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cv::fastFree( impl );
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}
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}
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}
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}
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bool cv::gpu::CudaStream::queryIfComplete()
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bool cv::gpu::CudaStream::queryIfComplete()
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@ -70,8 +70,8 @@ bool cv::gpu::CudaStream::queryIfComplete()
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//if (err == cudaErrorNotReady)
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//if (err == cudaErrorNotReady)
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// return false;
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// return false;
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////cudaErrorInvalidResourceHandle
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////cudaErrorInvalidResourceHandle
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//cudaSafeCall( err );
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//cudaSafeCall( err );
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return true;
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return true;
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}
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}
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void cv::gpu::CudaStream::waitForCompletion()
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void cv::gpu::CudaStream::waitForCompletion()
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@ -81,7 +81,7 @@ void cv::gpu::CudaStream::waitForCompletion()
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void cv::gpu::CudaStream::enqueueDownload(const GpuMat& src, Mat& dst)
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void cv::gpu::CudaStream::enqueueDownload(const GpuMat& src, Mat& dst)
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{
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{
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// cudaMemcpy2DAsync(dst.data, dst.step, src.data, src.step, src.cols * src.elemSize(), src.rows, cudaMemcpyDeviceToHost,
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// cudaMemcpy2DAsync(dst.data, dst.step, src.data, src.step, src.cols * src.elemSize(), src.rows, cudaMemcpyDeviceToHost,
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}
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}
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void cv::gpu::CudaStream::enqueueUpload(const Mat& src, GpuMat& dst)
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void cv::gpu::CudaStream::enqueueUpload(const Mat& src, GpuMat& dst)
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{
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{
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@ -109,4 +109,4 @@ void cv::gpu::CudaStream::enqueueConvert(const GpuMat& src, GpuMat& dst, int typ
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//struct cudaStream_t& cv::gpu::CudaStream::getStream() { return stream; }
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//struct cudaStream_t& cv::gpu::CudaStream::getStream() { return stream; }
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@ -68,26 +68,42 @@ void GpuMat::copyTo( GpuMat& m ) const
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cudaSafeCall( cudaMemcpy2D(m.data, m.step, data, step, cols * elemSize(), rows, cudaMemcpyDeviceToDevice) );
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cudaSafeCall( cudaMemcpy2D(m.data, m.step, data, step, cols * elemSize(), rows, cudaMemcpyDeviceToDevice) );
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cudaSafeCall( cudaThreadSynchronize() );
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cudaSafeCall( cudaThreadSynchronize() );
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}
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}
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void GpuMat::copyTo( GpuMat& /*m*/, const GpuMat&/* mask */) const
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void GpuMat::copyTo( GpuMat& /*m*/, const GpuMat&/* mask */) const
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{
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{
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CV_Assert(!"Not implemented");
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CV_Assert(!"Not implemented");
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}
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}
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void GpuMat::convertTo( GpuMat& /*m*/, int /*rtype*/, double /*alpha*/, double /*beta*/ ) const
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void GpuMat::convertTo( GpuMat& /*m*/, int /*rtype*/, double /*alpha*/, double /*beta*/ ) const
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{
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{
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CV_Assert(!"Not implemented");
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CV_Assert(!"Not implemented");
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}
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}
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GpuMat& GpuMat::operator = (const Scalar& /*s*/)
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GpuMat& GpuMat::operator = (const Scalar& s)
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{
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{
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CV_Assert(!"Not implemented");
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CV_Assert(!"Not implemented");
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cv::gpu::impl::set_to_without_mask(*this, s.val, this->depth(), this->channels());
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return *this;
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return *this;
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}
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}
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GpuMat& GpuMat::setTo(const Scalar& /*s*/, const GpuMat& /*mask*/)
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GpuMat& GpuMat::setTo(const Scalar& s, const GpuMat& mask)
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{
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{
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CV_Assert(!"Not implemented");
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CV_Assert(!"Not implemented");
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CV_DbgAssert(!this->empty());
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this->channels();
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this->depth();
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if (mask.empty())
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{
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cv::gpu::impl::set_to_without_mask(*this, s.val, this->depth(), this->channels());
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}
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else
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{
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cv::gpu::impl::set_to_with_mask(*this, s.val, mask, this->depth(), this->channels());
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}
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return *this;
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return *this;
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}
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}
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@ -147,8 +163,8 @@ void GpuMat::create(int _rows, int _cols, int _type)
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rows = _rows;
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rows = _rows;
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cols = _cols;
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cols = _cols;
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size_t esz = elemSize();
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size_t esz = elemSize();
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void *dev_ptr;
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void *dev_ptr;
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cudaSafeCall( cudaMallocPitch(&dev_ptr, &step, esz * cols, rows) );
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cudaSafeCall( cudaMallocPitch(&dev_ptr, &step, esz * cols, rows) );
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@ -157,10 +173,10 @@ void GpuMat::create(int _rows, int _cols, int _type)
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int64 _nettosize = (int64)step*rows;
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int64 _nettosize = (int64)step*rows;
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size_t nettosize = (size_t)_nettosize;
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size_t nettosize = (size_t)_nettosize;
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datastart = data = (uchar*)dev_ptr;
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datastart = data = (uchar*)dev_ptr;
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dataend = data + nettosize;
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dataend = data + nettosize;
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refcount = (int*)fastMalloc(sizeof(*refcount));
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refcount = (int*)fastMalloc(sizeof(*refcount));
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*refcount = 1;
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*refcount = 1;
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}
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}
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@ -171,7 +187,7 @@ void GpuMat::release()
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if( refcount && CV_XADD(refcount, -1) == 1 )
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if( refcount && CV_XADD(refcount, -1) == 1 )
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{
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{
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fastFree(refcount);
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fastFree(refcount);
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cudaSafeCall( cudaFree(datastart) );
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cudaSafeCall( cudaFree(datastart) );
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}
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}
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data = datastart = dataend = 0;
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data = datastart = dataend = 0;
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step = rows = cols = 0;
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step = rows = cols = 0;
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