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//                           License Agreement
//                For Open Source Computer Vision Library
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#include "precomp.hpp"

using namespace cv;
using namespace cv::gpu;

#ifdef HAVE_CUDA

namespace
{
    #define error_entry(entry)  { entry, #entry }

    struct ErrorEntry
    {
        int code;
        const char* 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 = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;

        const char* msg = (idx != n) ? errors[idx].str : "Unknown error code";
        String str = cv::format("%s [Code = %d]", msg, code);

        return str;
    }

    //////////////////////////////////////////////////////////////////////////
    // 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 ncvError(int code, const char* file, const int line, const char* func)
        {
            String msg = getErrorString(code, ncv_errors, ncv_error_num);
            cv::error(cv::Error::GpuApiCallError, msg, func, file, line);
        }

        void cufftError(int code, const char* file, const int line, const char* func)
        {
            String msg = getErrorString(code, cufft_errors, cufft_error_num);
            cv::error(cv::Error::GpuApiCallError, msg, func, file, line);
        }

        void cublasError(int code, const char* file, const int line, const char* func)
        {
            String msg = getErrorString(code, cublas_errors, cublas_error_num);
            cv::error(cv::Error::GpuApiCallError, msg, func, file, line);
        }
    }
}

#endif