cuda_types.hpp

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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
 
#if defined(__OPENCV_BUILD) && defined(__clang__)
#pragma clang diagnostic ignored "-Winconsistent-missing-override"
#endif
#if defined(__OPENCV_BUILD) && defined(__GNUC__) && __GNUC__ >= 5
#pragma GCC diagnostic ignored "-Wsuggest-override"
#endif
 
 
#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>*)this)->data) + y * step); }
            __CV_CUDA_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)(((DevPtr<T>*)this)->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<unsigned short> PtrStepSzus;
        typedef PtrStepSz<float> PtrStepSzf;
        typedef PtrStepSz<int> PtrStepSzi;
 
        typedef PtrStep<unsigned char> PtrStepb;
        typedef PtrStep<unsigned short> PtrStepus;
        typedef PtrStep<float> PtrStepf;
        typedef PtrStep<int> PtrStepi;
 
    }
}
 
 
#endif /* OPENCV_CORE_CUDA_TYPES_HPP */