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refactored cuda error handling; remove optional dependancies in soft cascade training app
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@@ -190,33 +190,6 @@ void cv::gpu::CudaMem::release() { CV_Error(CV_GpuNotSupported, "The library is
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GpuMat cv::gpu::CudaMem::createGpuMatHeader () const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); return GpuMat(); }
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#else /* !defined (HAVE_CUDA) */
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#include <cuda_runtime_api.h>
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namespace
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{
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#if defined(__GNUC__)
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#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
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#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
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#else /* defined(__CUDACC__) || defined(__MSVC__) */
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#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
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#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
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#endif
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inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
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{
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if (cudaSuccess != err)
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cv::gpu::error(cudaGetErrorString(err), file, line, func);
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}
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inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
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{
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if (err < 0)
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{
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std::ostringstream msg;
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msg << "NPP API Call Error: " << err;
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cv::gpu::error(msg.str().c_str(), file, line, func);
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}
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}
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}
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void cv::gpu::registerPageLocked(Mat& m)
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{
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