2a6fb2867e
Made all STL usages explicit to be able automatically find all usages of particular class or function.
249 lines
9.4 KiB
C++
249 lines
9.4 KiB
C++
/*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 "precomp.hpp"
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using namespace cv;
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using namespace cv::gpu;
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#ifdef HAVE_CUDA
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namespace
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{
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#define error_entry(entry) { entry, #entry }
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struct ErrorEntry
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{
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int code;
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std::string str;
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};
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struct ErrorEntryComparer
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{
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int code;
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ErrorEntryComparer(int code_) : code(code_) {};
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bool operator()(const ErrorEntry& e) const { return e.code == code; }
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};
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std::string getErrorString(int code, const ErrorEntry* errors, size_t n)
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{
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size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;
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const std::string& msg = (idx != n) ? errors[idx].str : std::string("Unknown error code");
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std::ostringstream ostr;
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ostr << msg << " [Code = " << code << "]";
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return ostr.str();
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}
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//////////////////////////////////////////////////////////////////////////
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// NPP errors
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const ErrorEntry npp_errors [] =
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{
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error_entry( NPP_NOT_SUPPORTED_MODE_ERROR ),
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error_entry( NPP_ROUND_MODE_NOT_SUPPORTED_ERROR ),
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error_entry( NPP_RESIZE_NO_OPERATION_ERROR ),
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#if defined (_MSC_VER)
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error_entry( NPP_NOT_SUFFICIENT_COMPUTE_CAPABILITY ),
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#endif
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error_entry( NPP_BAD_ARG_ERROR ),
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error_entry( NPP_LUT_NUMBER_OF_LEVELS_ERROR ),
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error_entry( NPP_TEXTURE_BIND_ERROR ),
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error_entry( NPP_COEFF_ERROR ),
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error_entry( NPP_RECT_ERROR ),
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error_entry( NPP_QUAD_ERROR ),
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error_entry( NPP_WRONG_INTERSECTION_ROI_ERROR ),
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error_entry( NPP_NOT_EVEN_STEP_ERROR ),
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error_entry( NPP_INTERPOLATION_ERROR ),
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error_entry( NPP_RESIZE_FACTOR_ERROR ),
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error_entry( NPP_HAAR_CLASSIFIER_PIXEL_MATCH_ERROR ),
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error_entry( NPP_MEMFREE_ERR ),
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error_entry( NPP_MEMSET_ERR ),
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error_entry( NPP_MEMCPY_ERROR ),
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error_entry( NPP_MEM_ALLOC_ERR ),
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error_entry( NPP_HISTO_NUMBER_OF_LEVELS_ERROR ),
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error_entry( NPP_MIRROR_FLIP_ERR ),
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error_entry( NPP_INVALID_INPUT ),
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error_entry( NPP_ALIGNMENT_ERROR ),
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error_entry( NPP_STEP_ERROR ),
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error_entry( NPP_SIZE_ERROR ),
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error_entry( NPP_POINTER_ERROR ),
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error_entry( NPP_NULL_POINTER_ERROR ),
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error_entry( NPP_CUDA_KERNEL_EXECUTION_ERROR ),
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error_entry( NPP_NOT_IMPLEMENTED_ERROR ),
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error_entry( NPP_ERROR ),
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error_entry( NPP_NO_ERROR ),
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error_entry( NPP_SUCCESS ),
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error_entry( NPP_WARNING ),
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error_entry( NPP_WRONG_INTERSECTION_QUAD_WARNING ),
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error_entry( NPP_MISALIGNED_DST_ROI_WARNING ),
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error_entry( NPP_AFFINE_QUAD_INCORRECT_WARNING ),
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error_entry( NPP_DOUBLE_SIZE_WARNING ),
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error_entry( NPP_ODD_ROI_WARNING )
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};
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const size_t npp_error_num = sizeof(npp_errors) / sizeof(npp_errors[0]);
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//////////////////////////////////////////////////////////////////////////
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// NCV errors
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const ErrorEntry ncv_errors [] =
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{
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error_entry( NCV_SUCCESS ),
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error_entry( NCV_UNKNOWN_ERROR ),
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error_entry( NCV_CUDA_ERROR ),
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error_entry( NCV_NPP_ERROR ),
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error_entry( NCV_FILE_ERROR ),
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error_entry( NCV_NULL_PTR ),
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error_entry( NCV_INCONSISTENT_INPUT ),
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error_entry( NCV_TEXTURE_BIND_ERROR ),
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error_entry( NCV_DIMENSIONS_INVALID ),
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error_entry( NCV_INVALID_ROI ),
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error_entry( NCV_INVALID_STEP ),
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error_entry( NCV_INVALID_SCALE ),
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error_entry( NCV_INVALID_SCALE ),
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error_entry( NCV_ALLOCATOR_NOT_INITIALIZED ),
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error_entry( NCV_ALLOCATOR_BAD_ALLOC ),
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error_entry( NCV_ALLOCATOR_BAD_DEALLOC ),
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error_entry( NCV_ALLOCATOR_INSUFFICIENT_CAPACITY ),
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error_entry( NCV_ALLOCATOR_DEALLOC_ORDER ),
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error_entry( NCV_ALLOCATOR_BAD_REUSE ),
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error_entry( NCV_MEM_COPY_ERROR ),
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error_entry( NCV_MEM_RESIDENCE_ERROR ),
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error_entry( NCV_MEM_INSUFFICIENT_CAPACITY ),
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error_entry( NCV_HAAR_INVALID_PIXEL_STEP ),
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error_entry( NCV_HAAR_TOO_MANY_FEATURES_IN_CLASSIFIER ),
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error_entry( NCV_HAAR_TOO_MANY_FEATURES_IN_CASCADE ),
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error_entry( NCV_HAAR_TOO_LARGE_FEATURES ),
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error_entry( NCV_HAAR_XML_LOADING_EXCEPTION ),
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error_entry( NCV_NOIMPL_HAAR_TILTED_FEATURES ),
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error_entry( NCV_WARNING_HAAR_DETECTIONS_VECTOR_OVERFLOW ),
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error_entry( NPPST_SUCCESS ),
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error_entry( NPPST_ERROR ),
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error_entry( NPPST_CUDA_KERNEL_EXECUTION_ERROR ),
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error_entry( NPPST_NULL_POINTER_ERROR ),
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error_entry( NPPST_TEXTURE_BIND_ERROR ),
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error_entry( NPPST_MEMCPY_ERROR ),
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error_entry( NPPST_MEM_ALLOC_ERR ),
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error_entry( NPPST_MEMFREE_ERR ),
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error_entry( NPPST_INVALID_ROI ),
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error_entry( NPPST_INVALID_STEP ),
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error_entry( NPPST_INVALID_SCALE ),
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error_entry( NPPST_MEM_INSUFFICIENT_BUFFER ),
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error_entry( NPPST_MEM_RESIDENCE_ERROR ),
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error_entry( NPPST_MEM_INTERNAL_ERROR )
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};
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const size_t ncv_error_num = sizeof(ncv_errors) / sizeof(ncv_errors[0]);
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//////////////////////////////////////////////////////////////////////////
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// CUFFT errors
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const ErrorEntry cufft_errors[] =
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{
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error_entry( CUFFT_INVALID_PLAN ),
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error_entry( CUFFT_ALLOC_FAILED ),
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error_entry( CUFFT_INVALID_TYPE ),
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error_entry( CUFFT_INVALID_VALUE ),
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error_entry( CUFFT_INTERNAL_ERROR ),
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error_entry( CUFFT_EXEC_FAILED ),
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error_entry( CUFFT_SETUP_FAILED ),
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error_entry( CUFFT_INVALID_SIZE ),
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error_entry( CUFFT_UNALIGNED_DATA )
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};
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const int cufft_error_num = sizeof(cufft_errors) / sizeof(cufft_errors[0]);
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//////////////////////////////////////////////////////////////////////////
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// CUBLAS errors
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const ErrorEntry cublas_errors[] =
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{
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error_entry( CUBLAS_STATUS_SUCCESS ),
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error_entry( CUBLAS_STATUS_NOT_INITIALIZED ),
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error_entry( CUBLAS_STATUS_ALLOC_FAILED ),
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error_entry( CUBLAS_STATUS_INVALID_VALUE ),
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error_entry( CUBLAS_STATUS_ARCH_MISMATCH ),
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error_entry( CUBLAS_STATUS_MAPPING_ERROR ),
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error_entry( CUBLAS_STATUS_EXECUTION_FAILED ),
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error_entry( CUBLAS_STATUS_INTERNAL_ERROR )
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};
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const int cublas_error_num = sizeof(cublas_errors) / sizeof(cublas_errors[0]);
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}
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namespace cv
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{
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namespace gpu
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{
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void nppError(int code, const char *file, const int line, const char *func)
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{
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std::string msg = getErrorString(code, npp_errors, npp_error_num);
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cv::gpu::error(msg.c_str(), file, line, func);
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}
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void ncvError(int code, const char *file, const int line, const char *func)
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{
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std::string msg = getErrorString(code, ncv_errors, ncv_error_num);
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cv::gpu::error(msg.c_str(), file, line, func);
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}
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void cufftError(int code, const char *file, const int line, const char *func)
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{
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std::string msg = getErrorString(code, cufft_errors, cufft_error_num);
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cv::gpu::error(msg.c_str(), file, line, func);
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}
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void cublasError(int code, const char *file, const int line, const char *func)
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{
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std::string msg = getErrorString(code, cublas_errors, cublas_error_num);
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cv::gpu::error(msg.c_str(), file, line, func);
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}
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}
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}
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#endif
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