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#ifndef OPENCV_CORE_CUDA_TYPES_HPP
#define OPENCV_CORE_CUDA_TYPES_HPP

#ifndef __cplusplus
#  error cuda_types.hpp header must be compiled as C++
#endif

/** @file
 * @deprecated Use @ref cudev instead.
 */

//! @cond IGNORED

#ifdef __CUDACC__
    #define __CV_CUDA_HOST_DEVICE__ __host__ __device__ __forceinline__
#else
    #define __CV_CUDA_HOST_DEVICE__
#endif

namespace cv
{
    namespace cuda
    {

        // Simple lightweight structures that encapsulates information about an image on device.
        // It is intended to pass to nvcc-compiled code. GpuMat depends on headers that nvcc can't compile

        template <typename T> struct DevPtr
        {
            typedef T elem_type;
            typedef int index_type;

            enum { elem_size = sizeof(elem_type) };

            T* data;

            __CV_CUDA_HOST_DEVICE__ DevPtr() : data(0) {}
            __CV_CUDA_HOST_DEVICE__ DevPtr(T* data_) : data(data_) {}

            __CV_CUDA_HOST_DEVICE__ size_t elemSize() const { return elem_size; }
            __CV_CUDA_HOST_DEVICE__ operator       T*()       { return data; }
            __CV_CUDA_HOST_DEVICE__ operator const T*() const { return data; }
        };

        template <typename T> struct PtrSz : public DevPtr<T>
        {
            __CV_CUDA_HOST_DEVICE__ PtrSz() : size(0) {}
            __CV_CUDA_HOST_DEVICE__ PtrSz(T* data_, size_t size_) : DevPtr<T>(data_), size(size_) {}

            size_t size;
        };

        template <typename T> struct PtrStep : public DevPtr<T>
        {
            __CV_CUDA_HOST_DEVICE__ PtrStep() : step(0) {}
            __CV_CUDA_HOST_DEVICE__ PtrStep(T* data_, size_t step_) : DevPtr<T>(data_), step(step_) {}

            size_t step;

            __CV_CUDA_HOST_DEVICE__       T* ptr(int y = 0)       { return (      T*)( (      char*)DevPtr<T>::data + y * step); }
            __CV_CUDA_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)DevPtr<T>::data + y * step); }

            __CV_CUDA_HOST_DEVICE__       T& operator ()(int y, int x)       { return ptr(y)[x]; }
            __CV_CUDA_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
        };

        template <typename T> struct PtrStepSz : public PtrStep<T>
        {
            __CV_CUDA_HOST_DEVICE__ PtrStepSz() : cols(0), rows(0) {}
            __CV_CUDA_HOST_DEVICE__ PtrStepSz(int rows_, int cols_, T* data_, size_t step_)
                : PtrStep<T>(data_, step_), cols(cols_), rows(rows_) {}

            template <typename U>
            explicit PtrStepSz(const PtrStepSz<U>& d) : PtrStep<T>((T*)d.data, d.step), cols(d.cols), rows(d.rows){}

            int cols;
            int rows;
        };

        typedef PtrStepSz<unsigned char> PtrStepSzb;
        typedef PtrStepSz<float> PtrStepSzf;
        typedef PtrStepSz<int> PtrStepSzi;

        typedef PtrStep<unsigned char> PtrStepb;
        typedef PtrStep<float> PtrStepf;
        typedef PtrStep<int> PtrStepi;

    }
}

//! @endcond

#endif /* OPENCV_CORE_CUDA_TYPES_HPP */