Commit f2df7848 authored by Anatoly Baksheev's avatar Anatoly Baksheev

fixed error reporting in GPU module (exceptions in destructors, etc)

parent d7d0754f
...@@ -245,7 +245,7 @@ enum { ...@@ -245,7 +245,7 @@ enum {
CV_StsNotImplemented= -213, /* the requested function/feature is not implemented */ CV_StsNotImplemented= -213, /* the requested function/feature is not implemented */
CV_StsBadMemBlock= -214, /* an allocated block has been corrupted */ CV_StsBadMemBlock= -214, /* an allocated block has been corrupted */
CV_StsAssert= -215, /* assertion failed */ CV_StsAssert= -215, /* assertion failed */
CV_GpuNotFound= -216, CV_GpuNotSupported= -216,
CV_GpuApiCallError= -217, CV_GpuApiCallError= -217,
CV_GpuNppCallError= -218 CV_GpuNppCallError= -218
}; };
......
...@@ -527,6 +527,9 @@ CV_IMPL const char* cvErrorStr( int status ) ...@@ -527,6 +527,9 @@ CV_IMPL const char* cvErrorStr( int status )
case CV_StsNotImplemented : return "The function/feature is not implemented"; case CV_StsNotImplemented : return "The function/feature is not implemented";
case CV_StsBadMemBlock : return "Memory block has been corrupted"; case CV_StsBadMemBlock : return "Memory block has been corrupted";
case CV_StsAssert : return "Assertion failed"; case CV_StsAssert : return "Assertion failed";
case CV_GpuNotSupported : return "No GPU support";
case CV_GpuApiCallError : return "GPU API error";
case CV_GpuNppCallError : return "NPP API error";
}; };
sprintf(buf, "Unknown %s code %d", status >= 0 ? "status":"error", status); sprintf(buf, "Unknown %s code %d", status >= 0 ? "status":"error", status);
......
...@@ -83,19 +83,18 @@ namespace cv ...@@ -83,19 +83,18 @@ namespace cv
public: public:
//! default constructor //! default constructor
GpuMat(); GpuMat();
//! constructs GpuMatrix of the specified size and type //! constructs GpuMatrix of the specified size and type (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.)
// (_type is CV_8UC1, CV_64FC3, CV_32SC(12) etc.) GpuMat(int rows, int cols, int type);
GpuMat(int _rows, int _cols, int _type); GpuMat(Size size, int type);
GpuMat(Size _size, int _type);
//! constucts GpuMatrix and fills it with the specified value _s. //! constucts GpuMatrix and fills it with the specified value _s.
GpuMat(int _rows, int _cols, int _type, const Scalar& _s); GpuMat(int rows, int cols, int type, const Scalar& s);
GpuMat(Size _size, int _type, const Scalar& _s); GpuMat(Size size, int type, const Scalar& s);
//! copy constructor //! copy constructor
GpuMat(const GpuMat& m); GpuMat(const GpuMat& m);
//! constructor for GpuMatrix headers pointing to user-allocated data //! constructor for GpuMatrix headers pointing to user-allocated data
GpuMat(int _rows, int _cols, int _type, void* _data, size_t _step = Mat::AUTO_STEP); GpuMat(int rows, int cols, int type, void* data, size_t step = Mat::AUTO_STEP);
GpuMat(Size _size, int _type, void* _data, size_t _step = Mat::AUTO_STEP); GpuMat(Size size, int type, void* data, size_t step = Mat::AUTO_STEP);
//! creates a matrix header for a part of the bigger matrix //! creates a matrix header for a part of the bigger matrix
GpuMat(const GpuMat& m, const Range& rowRange, const Range& colRange); GpuMat(const GpuMat& m, const Range& rowRange, const Range& colRange);
...@@ -117,7 +116,7 @@ namespace cv ...@@ -117,7 +116,7 @@ namespace cv
template <class T> operator DevMem2D_<T>() const; template <class T> operator DevMem2D_<T>() const;
template <class T> operator PtrStep_<T>() const; template <class T> operator PtrStep_<T>() const;
//! pefroms blocking upload data to GpuMat. . //! pefroms blocking upload data to GpuMat.
void upload(const cv::Mat& m); void upload(const cv::Mat& m);
//! upload async //! upload async
...@@ -156,15 +155,15 @@ namespace cv ...@@ -156,15 +155,15 @@ namespace cv
//! sets every GpuMatrix element to s //! sets every GpuMatrix element to s
GpuMat& operator = (const Scalar& s); GpuMat& operator = (const Scalar& s);
//! sets some of the GpuMatrix elements to s, according to the mask //! sets some of the GpuMatrix elements to s, according to the mask
GpuMat& setTo(const Scalar& s, const GpuMat& mask=GpuMat()); GpuMat& setTo(const Scalar& s, const GpuMat& mask = GpuMat());
//! creates alternative GpuMatrix header for the same data, with different //! creates alternative GpuMatrix header for the same data, with different
// number of channels and/or different number of rows. see cvReshape. // number of channels and/or different number of rows. see cvReshape.
GpuMat reshape(int _cn, int _rows=0) const; GpuMat reshape(int cn, int rows = 0) const;
//! allocates new GpuMatrix data unless the GpuMatrix already has specified size and type. //! allocates new GpuMatrix data unless the GpuMatrix already has specified size and type.
// previous data is unreferenced if needed. // previous data is unreferenced if needed.
void create(int _rows, int _cols, int _type); void create(int rows, int cols, int type);
void create(Size _size, int _type); void create(Size size, int type);
//! decreases reference counter; //! decreases reference counter;
// deallocate the data when reference counter reaches 0. // deallocate the data when reference counter reaches 0.
void release(); void release();
...@@ -205,12 +204,12 @@ namespace cv ...@@ -205,12 +204,12 @@ namespace cv
bool empty() const; bool empty() const;
//! returns pointer to y-th row //! returns pointer to y-th row
uchar* ptr(int y=0); uchar* ptr(int y = 0);
const uchar* ptr(int y=0) const; const uchar* ptr(int y = 0) const;
//! template version of the above method //! template version of the above method
template<typename _Tp> _Tp* ptr(int y=0); template<typename _Tp> _Tp* ptr(int y = 0);
template<typename _Tp> const _Tp* ptr(int y=0) const; template<typename _Tp> const _Tp* ptr(int y = 0) const;
//! matrix transposition //! matrix transposition
GpuMat t() const; GpuMat t() const;
...@@ -238,6 +237,11 @@ namespace cv ...@@ -238,6 +237,11 @@ namespace cv
uchar* dataend; uchar* dataend;
}; };
//#define TemplatedGpuMat // experimental now, deprecated to use
#ifdef TemplatedGpuMat
#include "GpuMat_BetaDeprecated.hpp"
#endif
//////////////////////////////// CudaMem //////////////////////////////// //////////////////////////////// CudaMem ////////////////////////////////
// CudaMem is limited cv::Mat with page locked memory allocation. // CudaMem is limited cv::Mat with page locked memory allocation.
// Page locked memory is only needed for async and faster coping to GPU. // Page locked memory is only needed for async and faster coping to GPU.
...@@ -252,12 +256,12 @@ namespace cv ...@@ -252,12 +256,12 @@ namespace cv
CudaMem(); CudaMem();
CudaMem(const CudaMem& m); CudaMem(const CudaMem& m);
CudaMem(int _rows, int _cols, int _type, int _alloc_type = ALLOC_PAGE_LOCKED); CudaMem(int rows, int cols, int type, int _alloc_type = ALLOC_PAGE_LOCKED);
CudaMem(Size _size, int _type, int _alloc_type = ALLOC_PAGE_LOCKED); CudaMem(Size size, int type, int alloc_type = ALLOC_PAGE_LOCKED);
//! creates from cv::Mat with coping data //! creates from cv::Mat with coping data
explicit CudaMem(const Mat& m, int _alloc_type = ALLOC_PAGE_LOCKED); explicit CudaMem(const Mat& m, int alloc_type = ALLOC_PAGE_LOCKED);
~CudaMem(); ~CudaMem();
...@@ -267,8 +271,8 @@ namespace cv ...@@ -267,8 +271,8 @@ namespace cv
CudaMem clone() const; CudaMem clone() const;
//! allocates new matrix data unless the matrix already has specified size and type. //! allocates new matrix data unless the matrix already has specified size and type.
void create(int _rows, int _cols, int _type, int _alloc_type = ALLOC_PAGE_LOCKED); void create(int rows, int cols, int type, int alloc_type = ALLOC_PAGE_LOCKED);
void create(Size _size, int _type, int _alloc_type = ALLOC_PAGE_LOCKED); void create(Size size, int type, int alloc_type = ALLOC_PAGE_LOCKED);
//! decrements reference counter and released memory if needed. //! decrements reference counter and released memory if needed.
void release(); void release();
......
...@@ -54,53 +54,54 @@ using namespace cv::gpu; ...@@ -54,53 +54,54 @@ using namespace cv::gpu;
namespace namespace
{ {
#define error_entry(entry) { entry, #entry }
struct NppError struct NppError
{ {
int error; int error;
string str; string str;
} }
npp_errors [] = npp_errors [] =
{ {
{ NPP_NOT_SUPPORTED_MODE_ERROR, "NPP_NOT_SUPPORTED_MODE_ERROR" }, error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ),
{ NPP_ROUND_MODE_NOT_SUPPORTED_ERROR, "NPP_ROUND_MODE_NOT_SUPPORTED_ERROR" }, error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ),
{ NPP_RESIZE_NO_OPERATION_ERROR, "NPP_RESIZE_NO_OPERATION_ERROR" }, error_entry( NPP_RESIZE_NO_OPERATION_ERROR ),
{ NPP_BAD_ARG_ERROR, "NPP_BAD_ARG_ERROR" }, error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ),
{ NPP_LUT_NUMBER_OF_LEVELS_ERROR, "NPP_LUT_NUMBER_OF_LEVELS_ERROR" }, error_entry( NPP_BAD_ARG_ERROR ),
{ NPP_TEXTURE_BIND_ERROR, "NPP_TEXTURE_BIND_ERROR" }, error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ),
{ NPP_COEFF_ERROR, "NPP_COEFF_ERROR" }, error_entry( NPP_TEXTURE_BIND_ERROR ),
{ NPP_RECT_ERROR, "NPP_RECT_ERROR" }, error_entry( NPP_COEFF_ERROR ),
{ NPP_QUAD_ERROR, "NPP_QUAD_ERROR" }, error_entry( NPP_RECT_ERROR ),
{ NPP_WRONG_INTERSECTION_ROI_ERROR, "NPP_WRONG_INTERSECTION_ROI_ERROR" }, error_entry( NPP_QUAD_ERROR ),
{ NPP_NOT_EVEN_STEP_ERROR, "NPP_NOT_EVEN_STEP_ERROR" }, error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ),
{ NPP_INTERPOLATION_ERROR, "NPP_INTERPOLATION_ERROR" }, error_entry( NPP_NOT_EVEN_STEP_ERROR ),
{ NPP_RESIZE_FACTOR_ERROR, "NPP_RESIZE_FACTOR_ERROR" }, error_entry( NPP_INTERPOLATION_ERROR ),
{ NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR, "NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR" }, error_entry( NPP_RESIZE_FACTOR_ERROR ),
{ NPP_MEMFREE_ERR, "NPP_MEMFREE_ERR" }, error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ),
{ NPP_MEMSET_ERR, "NPP_MEMSET_ERR" }, error_entry( NPP_MEMFREE_ERR ),
{ NPP_MEMCPY_ERROR, "NPP_MEMCPY_ERROR" }, error_entry( NPP_MEMSET_ERR ),
{ NPP_MEM_ALLOC_ERR, "NPP_MEM_ALLOC_ERR" }, error_entry( NPP_MEMCPY_ERROR ),
{ NPP_HISTO_NUMBER_OF_LEVELS_ERROR, "NPP_HISTO_NUMBER_OF_LEVELS_ERROR" }, error_entry( NPP_MEM_ALLOC_ERR ),
{ NPP_MIRROR_FLIP_ERR, "NPP_MIRROR_FLIP_ERR" }, error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ),
{ NPP_INVALID_INPUT, "NPP_INVALID_INPUT" }, error_entry( NPP_MIRROR_FLIP_ERR ),
{ NPP_ALIGNMENT_ERROR, "NPP_ALIGNMENT_ERROR" }, error_entry( NPP_INVALID_INPUT ),
{ NPP_STEP_ERROR, "NPP_STEP_ERROR" }, error_entry( NPP_ALIGNMENT_ERROR ),
{ NPP_SIZE_ERROR, "NPP_SIZE_ERROR" }, error_entry( NPP_STEP_ERROR ),
{ NPP_POINTER_ERROR, "NPP_POINTER_ERROR" }, error_entry( NPP_SIZE_ERROR ),
{ NPP_NULL_POINTER_ERROR, "NPP_NULL_POINTER_ERROR" }, error_entry( NPP_POINTER_ERROR ),
{ NPP_CUDA_KERNEL_EXECUTION_ERROR, "NPP_CUDA_KERNEL_EXECUTION_ERROR" }, error_entry( NPP_NULL_POINTER_ERROR ),
{ NPP_NOT_IMPLEMENTED_ERROR, "NPP_NOT_IMPLEMENTED_ERROR" }, error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ),
{ NPP_ERROR, "NPP_ERROR" }, error_entry( NPP_NOT_IMPLEMENTED_ERROR ),
{ NPP_NO_ERROR, "NPP_NO_ERROR" }, error_entry( NPP_ERROR ),
{ NPP_SUCCESS, "NPP_SUCCESS" }, error_entry( NPP_NO_ERROR ),
{ NPP_WARNING, "NPP_WARNING" }, error_entry( NPP_SUCCESS ),
{ NPP_WRONG_INTERSECTION_QUAD_WARNING, "NPP_WRONG_INTERSECTION_QUAD_WARNING" }, error_entry( NPP_WARNING ),
{ NPP_MISALIGNED_DST_ROI_WARNING, "NPP_MISALIGNED_DST_ROI_WARNING" }, error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ),
{ NPP_AFFINE_QUAD_INCORRECT_WARNING, "NPP_AFFINE_QUAD_INCORRECT_WARNING" }, error_entry( NPP_MISALIGNED_DST_ROI_WARNING ),
//disabled in NPP for cuda 3.2-rc error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ),
//{ NPP_AFFINE_QUAD_CHANGED_WARNING, "NPP_AFFINE_QUAD_CHANGED_WARNING" }, error_entry( NPP_DOUBLE_SIZE_WARNING ),
//{ NPP_ADJUSTED_ROI_SIZE_WARNING, "NPP_ADJUSTED_ROI_SIZE_WARNING" }, error_entry( NPP_ODD_ROI_WARNING )
{ NPP_DOUBLE_SIZE_WARNING, "NPP_DOUBLE_SIZE_WARNING" },
{ NPP_ODD_ROI_WARNING, "NPP_ODD_ROI_WARNING" }
}; };
int error_num = sizeof(npp_errors)/sizeof(npp_errors[0]); int error_num = sizeof(npp_errors)/sizeof(npp_errors[0]);
...@@ -136,8 +137,18 @@ namespace cv ...@@ -136,8 +137,18 @@ namespace cv
void error(const char *error_string, const char *file, const int line, const char *func) void error(const char *error_string, const char *file, const int line, const char *func)
{ {
//if (uncaught_exception()) int code = CV_GpuApiCallError;
cv::error( cv::Exception(CV_GpuApiCallError, error_string, func, file, line) );
if (std::uncaught_exception())
{
const char* errorStr = cvErrorStr(code);
const char* function = func ? func : "unknown function";
std::cerr << "OpenCV Error: " << errorStr << "(" << error_string << ") in " << function << ", file " << file << ", line " << line;
std::cerr.flush();
}
else
cv::error( cv::Exception(code, error_string, func, file, line) );
} }
} }
} }
......
...@@ -55,6 +55,7 @@ ...@@ -55,6 +55,7 @@
#include <vector> #include <vector>
#include <algorithm> #include <algorithm>
#include <sstream> #include <sstream>
#include <exception>
#include "opencv2/gpu/gpu.hpp" #include "opencv2/gpu/gpu.hpp"
#include "opencv2/imgproc/imgproc.hpp" #include "opencv2/imgproc/imgproc.hpp"
...@@ -68,7 +69,7 @@ ...@@ -68,7 +69,7 @@
#else /* defined(HAVE_CUDA) */ #else /* defined(HAVE_CUDA) */
static inline void throw_nogpu() { CV_Error(CV_GpuNotFound, "The library is compilled with no GPU support"); } static inline void throw_nogpu() { CV_Error(CV_GpuNotFound, "The library is compilled without GPU support"); }
#endif /* defined(HAVE_CUDA) */ #endif /* defined(HAVE_CUDA) */
......
...@@ -69,8 +69,8 @@ static inline bool check_and_treat_gpu_exception(const cv::Exception& e, CvTS* t ...@@ -69,8 +69,8 @@ static inline bool check_and_treat_gpu_exception(const cv::Exception& e, CvTS* t
{ {
switch (e.code) switch (e.code)
{ {
case CV_GpuNotFound: case CV_GpuNotSupported:
ts->printf(CvTS::LOG, "\nGpu not found"); ts->printf(CvTS::LOG, "\nGpu not supported by the library");
break; break;
case CV_GpuApiCallError: case CV_GpuApiCallError:
......
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