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      1 /*M///////////////////////////////////////////////////////////////////////////////////////
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     11 //                For Open Source Computer Vision Library
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     42 
     43 #ifndef __OPENCV_CORE_CUDA_TYPES_HPP__
     44 #define __OPENCV_CORE_CUDA_TYPES_HPP__
     45 
     46 #ifndef __cplusplus
     47 #  error cuda_types.hpp header must be compiled as C++
     48 #endif
     49 
     50 /** @file
     51  * @deprecated Use @ref cudev instead.
     52  */
     53 
     54 //! @cond IGNORED
     55 
     56 #ifdef __CUDACC__
     57     #define __CV_CUDA_HOST_DEVICE__ __host__ __device__ __forceinline__
     58 #else
     59     #define __CV_CUDA_HOST_DEVICE__
     60 #endif
     61 
     62 namespace cv
     63 {
     64     namespace cuda
     65     {
     66 
     67         // Simple lightweight structures that encapsulates information about an image on device.
     68         // It is intended to pass to nvcc-compiled code. GpuMat depends on headers that nvcc can't compile
     69 
     70         template <typename T> struct DevPtr
     71         {
     72             typedef T elem_type;
     73             typedef int index_type;
     74 
     75             enum { elem_size = sizeof(elem_type) };
     76 
     77             T* data;
     78 
     79             __CV_CUDA_HOST_DEVICE__ DevPtr() : data(0) {}
     80             __CV_CUDA_HOST_DEVICE__ DevPtr(T* data_) : data(data_) {}
     81 
     82             __CV_CUDA_HOST_DEVICE__ size_t elemSize() const { return elem_size; }
     83             __CV_CUDA_HOST_DEVICE__ operator       T*()       { return data; }
     84             __CV_CUDA_HOST_DEVICE__ operator const T*() const { return data; }
     85         };
     86 
     87         template <typename T> struct PtrSz : public DevPtr<T>
     88         {
     89             __CV_CUDA_HOST_DEVICE__ PtrSz() : size(0) {}
     90             __CV_CUDA_HOST_DEVICE__ PtrSz(T* data_, size_t size_) : DevPtr<T>(data_), size(size_) {}
     91 
     92             size_t size;
     93         };
     94 
     95         template <typename T> struct PtrStep : public DevPtr<T>
     96         {
     97             __CV_CUDA_HOST_DEVICE__ PtrStep() : step(0) {}
     98             __CV_CUDA_HOST_DEVICE__ PtrStep(T* data_, size_t step_) : DevPtr<T>(data_), step(step_) {}
     99 
    100             size_t step;
    101 
    102             __CV_CUDA_HOST_DEVICE__       T* ptr(int y = 0)       { return (      T*)( (      char*)DevPtr<T>::data + y * step); }
    103             __CV_CUDA_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)DevPtr<T>::data + y * step); }
    104 
    105             __CV_CUDA_HOST_DEVICE__       T& operator ()(int y, int x)       { return ptr(y)[x]; }
    106             __CV_CUDA_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
    107         };
    108 
    109         template <typename T> struct PtrStepSz : public PtrStep<T>
    110         {
    111             __CV_CUDA_HOST_DEVICE__ PtrStepSz() : cols(0), rows(0) {}
    112             __CV_CUDA_HOST_DEVICE__ PtrStepSz(int rows_, int cols_, T* data_, size_t step_)
    113                 : PtrStep<T>(data_, step_), cols(cols_), rows(rows_) {}
    114 
    115             template <typename U>
    116             explicit PtrStepSz(const PtrStepSz<U>& d) : PtrStep<T>((T*)d.data, d.step), cols(d.cols), rows(d.rows){}
    117 
    118             int cols;
    119             int rows;
    120         };
    121 
    122         typedef PtrStepSz<unsigned char> PtrStepSzb;
    123         typedef PtrStepSz<float> PtrStepSzf;
    124         typedef PtrStepSz<int> PtrStepSzi;
    125 
    126         typedef PtrStep<unsigned char> PtrStepb;
    127         typedef PtrStep<float> PtrStepf;
    128         typedef PtrStep<int> PtrStepi;
    129 
    130     }
    131 }
    132 
    133 //! @endcond
    134 
    135 #endif /* __OPENCV_CORE_CUDA_TYPES_HPP__ */
    136