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refactored cuda error handling; remove optional dependancies in soft cascade training app

This commit is contained in:
marina.kolpakova
2013-03-14 23:06:17 +04:00
parent a476664144
commit 157a98edf7
13 changed files with 37 additions and 154 deletions
-27
View File
@@ -190,33 +190,6 @@ void cv::gpu::CudaMem::release() { CV_Error(CV_GpuNotSupported, "The library is
GpuMat cv::gpu::CudaMem::createGpuMatHeader () const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); return GpuMat(); }
#else /* !defined (HAVE_CUDA) */
#include <cuda_runtime_api.h>
namespace
{
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
#endif
inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
{
if (cudaSuccess != err)
cv::gpu::error(cudaGetErrorString(err), file, line, func);
}
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
{
if (err < 0)
{
std::ostringstream msg;
msg << "NPP API Call Error: " << err;
cv::gpu::error(msg.str().c_str(), file, line, func);
}
}
}
void cv::gpu::registerPageLocked(Mat& m)
{