Normalize line endings and whitespace
This commit is contained in:
OpenCV Buildbot
committed by
Andrey Kamaev
Andrey Kamaev
parent
0442bca235
commit
81f826db2b
@@ -1,139 +1,139 @@
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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 "cu_safe_call.h"
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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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class ErrorEntryComparer
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{
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public:
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inline ErrorEntryComparer(int code) : code_(code) {}
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inline bool operator()(const ErrorEntry& e) const { return e.code == code_; }
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private:
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int 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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const ErrorEntry cu_errors [] =
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{
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error_entry( CUDA_SUCCESS ),
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error_entry( CUDA_ERROR_INVALID_VALUE ),
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error_entry( CUDA_ERROR_OUT_OF_MEMORY ),
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error_entry( CUDA_ERROR_NOT_INITIALIZED ),
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error_entry( CUDA_ERROR_DEINITIALIZED ),
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error_entry( CUDA_ERROR_PROFILER_DISABLED ),
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error_entry( CUDA_ERROR_PROFILER_NOT_INITIALIZED ),
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error_entry( CUDA_ERROR_PROFILER_ALREADY_STARTED ),
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error_entry( CUDA_ERROR_PROFILER_ALREADY_STOPPED ),
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error_entry( CUDA_ERROR_NO_DEVICE ),
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error_entry( CUDA_ERROR_INVALID_DEVICE ),
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error_entry( CUDA_ERROR_INVALID_IMAGE ),
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error_entry( CUDA_ERROR_INVALID_CONTEXT ),
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error_entry( CUDA_ERROR_CONTEXT_ALREADY_CURRENT ),
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error_entry( CUDA_ERROR_MAP_FAILED ),
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error_entry( CUDA_ERROR_UNMAP_FAILED ),
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error_entry( CUDA_ERROR_ARRAY_IS_MAPPED ),
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error_entry( CUDA_ERROR_ALREADY_MAPPED ),
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error_entry( CUDA_ERROR_NO_BINARY_FOR_GPU ),
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error_entry( CUDA_ERROR_ALREADY_ACQUIRED ),
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error_entry( CUDA_ERROR_NOT_MAPPED ),
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error_entry( CUDA_ERROR_NOT_MAPPED_AS_ARRAY ),
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error_entry( CUDA_ERROR_NOT_MAPPED_AS_POINTER ),
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error_entry( CUDA_ERROR_ECC_UNCORRECTABLE ),
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error_entry( CUDA_ERROR_UNSUPPORTED_LIMIT ),
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error_entry( CUDA_ERROR_CONTEXT_ALREADY_IN_USE ),
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error_entry( CUDA_ERROR_INVALID_SOURCE ),
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error_entry( CUDA_ERROR_FILE_NOT_FOUND ),
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error_entry( CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ),
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error_entry( CUDA_ERROR_SHARED_OBJECT_INIT_FAILED ),
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error_entry( CUDA_ERROR_OPERATING_SYSTEM ),
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error_entry( CUDA_ERROR_INVALID_HANDLE ),
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error_entry( CUDA_ERROR_NOT_FOUND ),
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error_entry( CUDA_ERROR_NOT_READY ),
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error_entry( CUDA_ERROR_LAUNCH_FAILED ),
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error_entry( CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES ),
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error_entry( CUDA_ERROR_LAUNCH_TIMEOUT ),
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error_entry( CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING ),
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error_entry( CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED ),
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error_entry( CUDA_ERROR_PEER_ACCESS_NOT_ENABLED ),
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error_entry( CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE ),
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error_entry( CUDA_ERROR_CONTEXT_IS_DESTROYED ),
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error_entry( CUDA_ERROR_ASSERT ),
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error_entry( CUDA_ERROR_TOO_MANY_PEERS ),
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error_entry( CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ),
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error_entry( CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED ),
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error_entry( CUDA_ERROR_UNKNOWN )
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};
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const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
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}
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std::string cv::gpu::detail::cuGetErrString(CUresult res)
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{
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return getErrorString(res, cu_errors, cu_errors_num);
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}
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#endif // HAVE_CUDA
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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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// 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.
|
||||
// Third party copyrights are property of their respective owners.
|
||||
//
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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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// * 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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// * 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 "cu_safe_call.h"
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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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class ErrorEntryComparer
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{
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public:
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inline ErrorEntryComparer(int code) : code_(code) {}
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inline bool operator()(const ErrorEntry& e) const { return e.code == code_; }
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private:
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int 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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const ErrorEntry cu_errors [] =
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{
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error_entry( CUDA_SUCCESS ),
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error_entry( CUDA_ERROR_INVALID_VALUE ),
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error_entry( CUDA_ERROR_OUT_OF_MEMORY ),
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error_entry( CUDA_ERROR_NOT_INITIALIZED ),
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error_entry( CUDA_ERROR_DEINITIALIZED ),
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error_entry( CUDA_ERROR_PROFILER_DISABLED ),
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error_entry( CUDA_ERROR_PROFILER_NOT_INITIALIZED ),
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error_entry( CUDA_ERROR_PROFILER_ALREADY_STARTED ),
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error_entry( CUDA_ERROR_PROFILER_ALREADY_STOPPED ),
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error_entry( CUDA_ERROR_NO_DEVICE ),
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error_entry( CUDA_ERROR_INVALID_DEVICE ),
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error_entry( CUDA_ERROR_INVALID_IMAGE ),
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error_entry( CUDA_ERROR_INVALID_CONTEXT ),
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error_entry( CUDA_ERROR_CONTEXT_ALREADY_CURRENT ),
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error_entry( CUDA_ERROR_MAP_FAILED ),
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error_entry( CUDA_ERROR_UNMAP_FAILED ),
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error_entry( CUDA_ERROR_ARRAY_IS_MAPPED ),
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error_entry( CUDA_ERROR_ALREADY_MAPPED ),
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error_entry( CUDA_ERROR_NO_BINARY_FOR_GPU ),
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error_entry( CUDA_ERROR_ALREADY_ACQUIRED ),
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error_entry( CUDA_ERROR_NOT_MAPPED ),
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error_entry( CUDA_ERROR_NOT_MAPPED_AS_ARRAY ),
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error_entry( CUDA_ERROR_NOT_MAPPED_AS_POINTER ),
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error_entry( CUDA_ERROR_ECC_UNCORRECTABLE ),
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error_entry( CUDA_ERROR_UNSUPPORTED_LIMIT ),
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error_entry( CUDA_ERROR_CONTEXT_ALREADY_IN_USE ),
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error_entry( CUDA_ERROR_INVALID_SOURCE ),
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error_entry( CUDA_ERROR_FILE_NOT_FOUND ),
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error_entry( CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ),
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error_entry( CUDA_ERROR_SHARED_OBJECT_INIT_FAILED ),
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error_entry( CUDA_ERROR_OPERATING_SYSTEM ),
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error_entry( CUDA_ERROR_INVALID_HANDLE ),
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error_entry( CUDA_ERROR_NOT_FOUND ),
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error_entry( CUDA_ERROR_NOT_READY ),
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error_entry( CUDA_ERROR_LAUNCH_FAILED ),
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error_entry( CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES ),
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error_entry( CUDA_ERROR_LAUNCH_TIMEOUT ),
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error_entry( CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING ),
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error_entry( CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED ),
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error_entry( CUDA_ERROR_PEER_ACCESS_NOT_ENABLED ),
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error_entry( CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE ),
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error_entry( CUDA_ERROR_CONTEXT_IS_DESTROYED ),
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error_entry( CUDA_ERROR_ASSERT ),
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error_entry( CUDA_ERROR_TOO_MANY_PEERS ),
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error_entry( CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ),
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error_entry( CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED ),
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error_entry( CUDA_ERROR_UNKNOWN )
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};
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const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
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}
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std::string cv::gpu::detail::cuGetErrString(CUresult res)
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{
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return getErrorString(res, cu_errors, cu_errors_num);
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}
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#endif // HAVE_CUDA
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