/*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 "precomp.hpp" using namespace cv; using namespace cv::gpu; using namespace std; #ifdef HAVE_CUDA namespace { #define error_entry(entry) { entry, #entry } struct ErrorEntry { int code; string str; }; struct ErrorEntryComparer { int code; ErrorEntryComparer(int code_) : code(code_) {}; bool operator()(const ErrorEntry& e) const { return e.code == code; } }; string getErrorString(int code, const ErrorEntry* errors, size_t n) { size_t idx = find_if(errors, errors + n, ErrorEntryComparer(code)) - errors; const string& msg = (idx != n) ? errors[idx].str : string("Unknown error code"); ostringstream ostr; ostr << msg << " [Code = " << code << "]"; return ostr.str(); } ////////////////////////////////////////////////////////////////////////// // NPP errors const ErrorEntry npp_errors [] = { error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ), error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ), error_entry( NPP_RESIZE_NO_OPERATION_ERROR ), #if defined (_MSC_VER) error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ), #endif error_entry( NPP_BAD_ARG_ERROR ), error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ), error_entry( NPP_TEXTURE_BIND_ERROR ), error_entry( NPP_COEFF_ERROR ), error_entry( NPP_RECT_ERROR ), error_entry( NPP_QUAD_ERROR ), error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ), error_entry( NPP_NOT_EVEN_STEP_ERROR ), error_entry( NPP_INTERPOLATION_ERROR ), error_entry( NPP_RESIZE_FACTOR_ERROR ), error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ), error_entry( NPP_MEMFREE_ERR ), error_entry( NPP_MEMSET_ERR ), error_entry( NPP_MEMCPY_ERROR ), error_entry( NPP_MEM_ALLOC_ERR ), error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ), error_entry( NPP_MIRROR_FLIP_ERR ), error_entry( NPP_INVALID_INPUT ), error_entry( NPP_ALIGNMENT_ERROR ), error_entry( NPP_STEP_ERROR ), error_entry( NPP_SIZE_ERROR ), error_entry( NPP_POINTER_ERROR ), error_entry( NPP_NULL_POINTER_ERROR ), error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ), error_entry( NPP_NOT_IMPLEMENTED_ERROR ), error_entry( NPP_ERROR ), error_entry( NPP_NO_ERROR ), error_entry( NPP_SUCCESS ), error_entry( NPP_WARNING ), error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ), error_entry( NPP_MISALIGNED_DST_ROI_WARNING ), error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ), error_entry( NPP_DOUBLE_SIZE_WARNING ), error_entry( NPP_ODD_ROI_WARNING ) }; const size_t npp_error_num = sizeof(npp_errors) / sizeof(npp_errors[0]); ////////////////////////////////////////////////////////////////////////// // NCV errors const ErrorEntry ncv_errors [] = { error_entry( NCV_SUCCESS ), error_entry( NCV_UNKNOWN_ERROR ), error_entry( NCV_CUDA_ERROR ), error_entry( NCV_NPP_ERROR ), error_entry( NCV_FILE_ERROR ), error_entry( NCV_NULL_PTR ), error_entry( NCV_INCONSISTENT_INPUT ), error_entry( NCV_TEXTURE_BIND_ERROR ), error_entry( NCV_DIMENSIONS_INVALID ), error_entry( NCV_INVALID_ROI ), error_entry( NCV_INVALID_STEP ), error_entry( NCV_INVALID_SCALE ), error_entry( NCV_INVALID_SCALE ), error_entry( NCV_ALLOCATOR_NOT_INITIALIZED ), error_entry( NCV_ALLOCATOR_BAD_ALLOC ), error_entry( NCV_ALLOCATOR_BAD_DEALLOC ), error_entry( NCV_ALLOCATOR_INSUFFICIENT_CAPACITY ), error_entry( NCV_ALLOCATOR_DEALLOC_ORDER ), error_entry( NCV_ALLOCATOR_BAD_REUSE ), error_entry( NCV_MEM_COPY_ERROR ), error_entry( NCV_MEM_RESIDENCE_ERROR ), error_entry( NCV_MEM_INSUFFICIENT_CAPACITY ), error_entry( NCV_HAAR_INVALID_PIXEL_STEP ), error_entry( NCV_HAAR_TOO_MANY_FEATURES_IN_CLASSIFIER ), error_entry( NCV_HAAR_TOO_MANY_FEATURES_IN_CASCADE ), error_entry( NCV_HAAR_TOO_LARGE_FEATURES ), error_entry( NCV_HAAR_XML_LOADING_EXCEPTION ), error_entry( NCV_NOIMPL_HAAR_TILTED_FEATURES ), error_entry( NCV_WARNING_HAAR_DETECTIONS_VECTOR_OVERFLOW ), error_entry( NPPST_SUCCESS ), error_entry( NPPST_ERROR ), error_entry( NPPST_CUDA_KERNEL_EXECUTION_ERROR ), error_entry( NPPST_NULL_POINTER_ERROR ), error_entry( NPPST_TEXTURE_BIND_ERROR ), error_entry( NPPST_MEMCPY_ERROR ), error_entry( NPPST_MEM_ALLOC_ERR ), error_entry( NPPST_MEMFREE_ERR ), error_entry( NPPST_INVALID_ROI ), error_entry( NPPST_INVALID_STEP ), error_entry( NPPST_INVALID_SCALE ), error_entry( NPPST_MEM_INSUFFICIENT_BUFFER ), error_entry( NPPST_MEM_RESIDENCE_ERROR ), error_entry( NPPST_MEM_INTERNAL_ERROR ) }; const size_t ncv_error_num = sizeof(ncv_errors) / sizeof(ncv_errors[0]); ////////////////////////////////////////////////////////////////////////// // CUFFT errors const ErrorEntry cufft_errors[] = { error_entry( CUFFT_INVALID_PLAN ), error_entry( CUFFT_ALLOC_FAILED ), error_entry( CUFFT_INVALID_TYPE ), error_entry( CUFFT_INVALID_VALUE ), error_entry( CUFFT_INTERNAL_ERROR ), error_entry( CUFFT_EXEC_FAILED ), error_entry( CUFFT_SETUP_FAILED ), error_entry( CUFFT_INVALID_SIZE ), error_entry( CUFFT_UNALIGNED_DATA ) }; const int cufft_error_num = sizeof(cufft_errors) / sizeof(cufft_errors[0]); ////////////////////////////////////////////////////////////////////////// // CUBLAS errors const ErrorEntry cublas_errors[] = { error_entry( CUBLAS_STATUS_SUCCESS ), error_entry( CUBLAS_STATUS_NOT_INITIALIZED ), error_entry( CUBLAS_STATUS_ALLOC_FAILED ), error_entry( CUBLAS_STATUS_INVALID_VALUE ), error_entry( CUBLAS_STATUS_ARCH_MISMATCH ), error_entry( CUBLAS_STATUS_MAPPING_ERROR ), error_entry( CUBLAS_STATUS_EXECUTION_FAILED ), error_entry( CUBLAS_STATUS_INTERNAL_ERROR ) }; const int cublas_error_num = sizeof(cublas_errors) / sizeof(cublas_errors[0]); } namespace cv { namespace gpu { void nppError(int code, const char *file, const int line, const char *func) { string msg = getErrorString(code, npp_errors, npp_error_num); cv::gpu::error(msg.c_str(), file, line, func); } void ncvError(int code, const char *file, const int line, const char *func) { string msg = getErrorString(code, ncv_errors, ncv_error_num); cv::gpu::error(msg.c_str(), file, line, func); } void cufftError(int code, const char *file, const int line, const char *func) { string msg = getErrorString(code, cufft_errors, cufft_error_num); cv::gpu::error(msg.c_str(), file, line, func); } void cublasError(int code, const char *file, const int line, const char *func) { string msg = getErrorString(code, cublas_errors, cublas_error_num); cv::gpu::error(msg.c_str(), file, line, func); } } } #endif