generic-library/opencv
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

removed cu_safe_call.h and cu_safe_call.cpp

Browse Source
This commit is contained in:
Vladislav Vinogradov 2013-04-04 14:27:24 +04:00
parent 204a19b431
commit 193e857392
8 changed files with 96 additions and 226 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
modules/core/include/opencv2/core/cuda/common.hpp
View File

@ -65,9 +65,9 @@ namespace cv { namespace gpu { namespace cuda {
}}}
#if defined(__GNUC__)
#define cvCudaSafeCall(expr) cv::gpu::cuda::checkError((expr), __FILE__, __LINE__, __func__)
#define cvCudaSafeCall(expr) cv::gpu::cuda::checkError(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cvCudaSafeCall(expr) cv::gpu::cuda::checkError((expr), __FILE__, __LINE__, "")
#define cvCudaSafeCall(expr) cv::gpu::cuda::checkError(expr, __FILE__, __LINE__, "")
#endif
namespace cv { namespace gpu

33
modules/core/include/opencv2/core/gpu_private.hpp
View File

@ -73,12 +73,7 @@
namespace cv { namespace gpu {
CV_EXPORTS cv::String getNppErrorMessage(int code);
static inline void checkNppError(int code, const char* file, const int line, const char* func)
{
if (code < 0)
cv::error(cv::Error::GpuApiCallError, getNppErrorMessage(code), func, file, line);
}
CV_EXPORTS cv::String getCudaDriverApiErrorMessage(int code);
// Converts CPU border extrapolation mode into GPU internal analogue.
// Returns true if the GPU analogue exists, false otherwise.
@ -93,14 +88,20 @@ static inline void throw_no_cuda() { CV_Error(cv::Error::GpuNotSupported, "The l
static inline void throw_no_cuda() { CV_Error(cv::Error::StsNotImplemented, "The called functionality is disabled for current build or platform"); }
#if defined(__GNUC__)
#define nppSafeCall(expr) cv::gpu::checkNppError(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define nppSafeCall(expr) cv::gpu::checkNppError(expr, __FILE__, __LINE__, "")
#endif
namespace cv { namespace gpu
{
static inline void checkNppError(int code, const char* file, const int line, const char* func)
{
if (code < 0)
cv::error(cv::Error::GpuApiCallError, getNppErrorMessage(code), func, file, line);
}
static inline void checkCudaDriverApiError(int code, const char* file, const int line, const char* func)
{
if (code != CUDA_SUCCESS)
cv::error(cv::Error::GpuApiCallError, getCudaDriverApiErrorMessage(code), func, file, line);
}
template<int n> struct NPPTypeTraits;
template<> struct NPPTypeTraits<CV_8U> { typedef Npp8u npp_type; };
template<> struct NPPTypeTraits<CV_8S> { typedef Npp8s npp_type; };
@ -129,6 +130,14 @@ namespace cv { namespace gpu
};
}}
#if defined(__GNUC__)
#define nppSafeCall(expr) cv::gpu::checkNppError(expr, __FILE__, __LINE__, __func__)
#define cuSafeCall(expr) cv::gpu::checkCudaDriverApiError(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define nppSafeCall(expr) cv::gpu::checkNppError(expr, __FILE__, __LINE__, "")
#define cuSafeCall(expr) cv::gpu::checkCudaDriverApiError(expr, __FILE__, __LINE__, "")
#endif
#endif // HAVE_CUDA
#endif // __OPENCV_CORE_GPU_PRIVATE_HPP__

78
modules/core/src/gpumat.cpp
View File

@ -1591,6 +1591,69 @@ namespace
};
const size_t npp_error_num = sizeof(npp_errors) / sizeof(npp_errors[0]);
const ErrorEntry cu_errors [] =
{
error_entry( CUDA_SUCCESS ),
error_entry( CUDA_ERROR_INVALID_VALUE ),
error_entry( CUDA_ERROR_OUT_OF_MEMORY ),
error_entry( CUDA_ERROR_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_DEINITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_DISABLED ),
error_entry( CUDA_ERROR_PROFILER_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STARTED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STOPPED ),
error_entry( CUDA_ERROR_NO_DEVICE ),
error_entry( CUDA_ERROR_INVALID_DEVICE ),
error_entry( CUDA_ERROR_INVALID_IMAGE ),
error_entry( CUDA_ERROR_INVALID_CONTEXT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_CURRENT ),
error_entry( CUDA_ERROR_MAP_FAILED ),
error_entry( CUDA_ERROR_UNMAP_FAILED ),
error_entry( CUDA_ERROR_ARRAY_IS_MAPPED ),
error_entry( CUDA_ERROR_ALREADY_MAPPED ),
error_entry( CUDA_ERROR_NO_BINARY_FOR_GPU ),
error_entry( CUDA_ERROR_ALREADY_ACQUIRED ),
error_entry( CUDA_ERROR_NOT_MAPPED ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_ARRAY ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_POINTER ),
error_entry( CUDA_ERROR_ECC_UNCORRECTABLE ),
error_entry( CUDA_ERROR_UNSUPPORTED_LIMIT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_IN_USE ),
error_entry( CUDA_ERROR_INVALID_SOURCE ),
error_entry( CUDA_ERROR_FILE_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_INIT_FAILED ),
error_entry( CUDA_ERROR_OPERATING_SYSTEM ),
error_entry( CUDA_ERROR_INVALID_HANDLE ),
error_entry( CUDA_ERROR_NOT_FOUND ),
error_entry( CUDA_ERROR_NOT_READY ),
error_entry( CUDA_ERROR_LAUNCH_FAILED ),
error_entry( CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES ),
error_entry( CUDA_ERROR_LAUNCH_TIMEOUT ),
error_entry( CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING ),
error_entry( CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED ),
error_entry( CUDA_ERROR_PEER_ACCESS_NOT_ENABLED ),
error_entry( CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE ),
error_entry( CUDA_ERROR_CONTEXT_IS_DESTROYED ),
error_entry( CUDA_ERROR_ASSERT ),
error_entry( CUDA_ERROR_TOO_MANY_PEERS ),
error_entry( CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ),
error_entry( CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED ),
error_entry( CUDA_ERROR_UNKNOWN )
};
const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
cv::String getErrorString(int code, const ErrorEntry* errors, size_t n)
{
size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
cv::String str = cv::format("%s [Code = %d]", msg, code);
return str;
}
}
#endif
@ -1601,12 +1664,17 @@ String cv::gpu::getNppErrorMessage(int code)
(void) code;
return String();
#else
size_t idx = std::find_if(npp_errors, npp_errors + npp_error_num, ErrorEntryComparer(code)) - npp_errors;
return getErrorString(code, npp_errors, npp_error_num);
#endif
}
const char* msg = (idx != npp_error_num) ? npp_errors[idx].str : "Unknown error code";
String str = cv::format("%s [Code = %d]", msg, code);
return str;
String cv::gpu::getCudaDriverApiErrorMessage(int code)
{
#ifndef HAVE_CUDA
(void) code;
return String();
#else
return getErrorString(code, cu_errors, cu_errors_num);
#endif
}

137
modules/gpu/src/cu_safe_call.cpp
View File

@ -1,137 +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.
// 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 "cu_safe_call.h"
#ifdef HAVE_CUDA
namespace
{
#define error_entry(entry) { entry, #entry }
struct ErrorEntry
{
int code;
const char* str;
};
class ErrorEntryComparer
{
public:
inline ErrorEntryComparer(int code) : code_(code) {}
inline bool operator()(const ErrorEntry& e) const { return e.code == code_; }
private:
int code_;
};
cv::String getErrorString(int code, const ErrorEntry* errors, size_t n)
{
size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
cv::String str = cv::format("%s [Code = %d]", msg, code);
return str;
}
const ErrorEntry cu_errors [] =
{
error_entry( CUDA_SUCCESS ),
error_entry( CUDA_ERROR_INVALID_VALUE ),
error_entry( CUDA_ERROR_OUT_OF_MEMORY ),
error_entry( CUDA_ERROR_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_DEINITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_DISABLED ),
error_entry( CUDA_ERROR_PROFILER_NOT_INITIALIZED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STARTED ),
error_entry( CUDA_ERROR_PROFILER_ALREADY_STOPPED ),
error_entry( CUDA_ERROR_NO_DEVICE ),
error_entry( CUDA_ERROR_INVALID_DEVICE ),
error_entry( CUDA_ERROR_INVALID_IMAGE ),
error_entry( CUDA_ERROR_INVALID_CONTEXT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_CURRENT ),
error_entry( CUDA_ERROR_MAP_FAILED ),
error_entry( CUDA_ERROR_UNMAP_FAILED ),
error_entry( CUDA_ERROR_ARRAY_IS_MAPPED ),
error_entry( CUDA_ERROR_ALREADY_MAPPED ),
error_entry( CUDA_ERROR_NO_BINARY_FOR_GPU ),
error_entry( CUDA_ERROR_ALREADY_ACQUIRED ),
error_entry( CUDA_ERROR_NOT_MAPPED ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_ARRAY ),
error_entry( CUDA_ERROR_NOT_MAPPED_AS_POINTER ),
error_entry( CUDA_ERROR_ECC_UNCORRECTABLE ),
error_entry( CUDA_ERROR_UNSUPPORTED_LIMIT ),
error_entry( CUDA_ERROR_CONTEXT_ALREADY_IN_USE ),
error_entry( CUDA_ERROR_INVALID_SOURCE ),
error_entry( CUDA_ERROR_FILE_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ),
error_entry( CUDA_ERROR_SHARED_OBJECT_INIT_FAILED ),
error_entry( CUDA_ERROR_OPERATING_SYSTEM ),
error_entry( CUDA_ERROR_INVALID_HANDLE ),
error_entry( CUDA_ERROR_NOT_FOUND ),
error_entry( CUDA_ERROR_NOT_READY ),
error_entry( CUDA_ERROR_LAUNCH_FAILED ),
error_entry( CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES ),
error_entry( CUDA_ERROR_LAUNCH_TIMEOUT ),
error_entry( CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING ),
error_entry( CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED ),
error_entry( CUDA_ERROR_PEER_ACCESS_NOT_ENABLED ),
error_entry( CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE ),
error_entry( CUDA_ERROR_CONTEXT_IS_DESTROYED ),
error_entry( CUDA_ERROR_ASSERT ),
error_entry( CUDA_ERROR_TOO_MANY_PEERS ),
error_entry( CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ),
error_entry( CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED ),
error_entry( CUDA_ERROR_UNKNOWN )
};
const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
}
cv::String cv::gpu::detail::cuGetErrString(CUresult res)
{
return getErrorString(res, cu_errors, cu_errors_num);
}
#endif // HAVE_CUDA

67
modules/gpu/src/cu_safe_call.h
View File

@ -1,67 +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.
// 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*/
#ifndef __CU_SAFE_CALL_H__
#define __CU_SAFE_CALL_H__
#include "precomp.hpp"
#ifdef HAVE_CUDA
namespace cv { namespace gpu {
namespace detail
{
String cuGetErrString(CUresult res);
inline void cuSafeCall_impl(CUresult res, const char* file, int line)
{
if (res != CUDA_SUCCESS)
cv::error( cv::Exception(CV_GpuApiCallError, cuGetErrString(res), "unknown function", file, line) );
}
}
}}
#define cuSafeCall( op ) cv::gpu::detail::cuSafeCall_impl( (op), __FILE__, __LINE__ )
#endif // HAVE_CUDA
#endif // __CU_SAFE_CALL_H__

1
modules/gpu/src/cuvid_video_source.cpp
View File

@ -41,7 +41,6 @@
//M*/
#include "cuvid_video_source.h"
#include "cu_safe_call.h"
#if defined(HAVE_CUDA) && defined(HAVE_NVCUVID)

1
modules/gpu/src/video_decoder.h
View File

@ -44,7 +44,6 @@
#define __VIDEO_DECODER_H__
#include "precomp.hpp"
#include "cu_safe_call.h"
#if defined(HAVE_CUDA) && defined(HAVE_NVCUVID)

1
modules/gpu/src/video_parser.cpp
View File

@ -41,7 +41,6 @@
//M*/
#include "video_parser.h"
#include "cu_safe_call.h"
#if defined(HAVE_CUDA) && defined(HAVE_NVCUVID)