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  #ifndef OPENCV_CORE_CUDAINL_HPP
  #define OPENCV_CORE_CUDAINL_HPP
  
  #include "opencv2/core/cuda.hpp"
  
  //! @cond IGNORED
  
  namespace cv {
      namespace cuda {
  
  //===================================================================================
  // GpuMat
  //===================================================================================
  
          inline
          GpuMat::GpuMat(Allocator *allocator_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_) {}
  
          inline
          GpuMat::GpuMat(int rows_, int cols_, int type_, Allocator *allocator_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_) {
              if (rows_ > 0 && cols_ > 0)
                  create(rows_, cols_, type_);
          }
  
          inline
          GpuMat::GpuMat(Size size_, int type_, Allocator *allocator_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_) {
              if (size_.height > 0 && size_.width > 0)
                  create(size_.height, size_.width, type_);
          }
  
          inline
          GpuMat::GpuMat(int rows_, int cols_, int type_, Scalar s_, Allocator *allocator_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_) {
              if (rows_ > 0 && cols_ > 0) {
                  create(rows_, cols_, type_);
                  setTo(s_);
              }
          }
  
          inline
          GpuMat::GpuMat(Size size_, int type_, Scalar s_, Allocator *allocator_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_) {
              if (size_.height > 0 && size_.width > 0) {
                  create(size_.height, size_.width, type_);
                  setTo(s_);
              }
          }
  
          inline
          GpuMat::GpuMat(const GpuMat &m)
                  : flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend),
                    allocator(m.allocator) {
              if (refcount)
                  CV_XADD(refcount, 1);
          }
  
          inline
          GpuMat::GpuMat(InputArray arr, Allocator *allocator_) :
                  flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), allocator(allocator_) {
              upload(arr);
          }
  
          inline
          GpuMat::~GpuMat() {
              release();
          }
  
          inline
          GpuMat &GpuMat::operator=(const GpuMat &m) {
              if (this != &m) {
                  GpuMat temp(m);
                  swap(temp);
              }
  
              return *this;
          }
  
          inline
          void GpuMat::create(Size size_, int type_) {
              create(size_.height, size_.width, type_);
          }
  
          inline
          void GpuMat::swap(GpuMat &b) {
              std::swap(flags, b.flags);
              std::swap(rows, b.rows);
              std::swap(cols, b.cols);
              std::swap(step, b.step);
              std::swap(data, b.data);
              std::swap(datastart, b.datastart);
              std::swap(dataend, b.dataend);
              std::swap(refcount, b.refcount);
              std::swap(allocator, b.allocator);
          }
  
          inline
          GpuMat GpuMat::clone() const {
              GpuMat m;
              copyTo(m);
              return m;
          }
  
          inline
          void GpuMat::copyTo(OutputArray dst, InputArray mask) const {
              copyTo(dst, mask, Stream::Null());
          }
  
          inline
          GpuMat &GpuMat::setTo(Scalar s) {
              return setTo(s, Stream::Null());
          }
  
          inline
          GpuMat &GpuMat::setTo(Scalar s, InputArray mask) {
              return setTo(s, mask, Stream::Null());
          }
  
          inline
          void GpuMat::convertTo(OutputArray dst, int rtype) const {
              convertTo(dst, rtype, Stream::Null());
          }
  
          inline
          void GpuMat::convertTo(OutputArray dst, int rtype, double alpha, double beta) const {
              convertTo(dst, rtype, alpha, beta, Stream::Null());
          }
  
          inline
          void GpuMat::convertTo(OutputArray dst, int rtype, double alpha, Stream &stream) const {
              convertTo(dst, rtype, alpha, 0.0, stream);
          }
  
          inline
          void GpuMat::assignTo(GpuMat &m, int _type) const {
              if (_type < 0)
                  m = *this;
              else
                  convertTo(m, _type);
          }
  
          inline
          uchar *GpuMat::ptr(int y) {
              CV_DbgAssert((unsigned) y < (unsigned) rows);
              return data + step * y;
          }
  
          inline
          const uchar *GpuMat::ptr(int y) const {
              CV_DbgAssert((unsigned) y < (unsigned) rows);
              return data + step * y;
          }
  
          template<typename _Tp>
          inline
          _Tp *GpuMat::ptr(int y) {
              return (_Tp *) ptr(y);
          }
  
          template<typename _Tp>
          inline
          const _Tp *GpuMat::ptr(int y) const {
              return (const _Tp *) ptr(y);
          }
  
          template<class T>
          inline
          GpuMat::operator PtrStepSz<T>() const {
              return PtrStepSz<T>(rows, cols, (T *) data, step);
          }
  
          template<class T>
          inline
          GpuMat::operator PtrStep<T>() const {
              return PtrStep<T>((T *) data, step);
          }
  
          inline
          GpuMat GpuMat::row(int y) const {
              return GpuMat(*this, Range(y, y + 1), Range::all());
          }
  
          inline
          GpuMat GpuMat::col(int x) const {
              return GpuMat(*this, Range::all(), Range(x, x + 1));
          }
  
          inline
          GpuMat GpuMat::rowRange(int startrow, int endrow) const {
              return GpuMat(*this, Range(startrow, endrow), Range::all());
          }
  
          inline
          GpuMat GpuMat::rowRange(Range r) const {
              return GpuMat(*this, r, Range::all());
          }
  
          inline
          GpuMat GpuMat::colRange(int startcol, int endcol) const {
              return GpuMat(*this, Range::all(), Range(startcol, endcol));
          }
  
          inline
          GpuMat GpuMat::colRange(Range r) const {
              return GpuMat(*this, Range::all(), r);
          }
  
          inline
          GpuMat GpuMat::operator()(Range rowRange_, Range colRange_) const {
              return GpuMat(*this, rowRange_, colRange_);
          }
  
          inline
          GpuMat GpuMat::operator()(Rect roi) const {
              return GpuMat(*this, roi);
          }
  
          inline
          bool GpuMat::isContinuous() const {
              return (flags & Mat::CONTINUOUS_FLAG) != 0;
          }
  
          inline
          size_t GpuMat::elemSize() const {
              return CV_ELEM_SIZE(flags);
          }
  
          inline
          size_t GpuMat::elemSize1() const {
              return CV_ELEM_SIZE1(flags);
          }
  
          inline
          int GpuMat::type() const {
              return CV_MAT_TYPE(flags);
          }
  
          inline
          int GpuMat::depth() const {
              return CV_MAT_DEPTH(flags);
          }
  
          inline
          int GpuMat::channels() const {
              return CV_MAT_CN(flags);
          }
  
          inline
          size_t GpuMat::step1() const {
              return step / elemSize1();
          }
  
          inline
          Size GpuMat::size() const {
              return Size(cols, rows);
          }
  
          inline
          bool GpuMat::empty() const {
              return data == 0;
          }
  
          static inline
          GpuMat createContinuous(int rows, int cols, int type) {
              GpuMat m;
              createContinuous(rows, cols, type, m);
              return m;
          }
  
          static inline
          void createContinuous(Size size, int type, OutputArray arr) {
              createContinuous(size.height, size.width, type, arr);
          }
  
          static inline
          GpuMat createContinuous(Size size, int type) {
              GpuMat m;
              createContinuous(size, type, m);
              return m;
          }
  
          static inline
          void ensureSizeIsEnough(Size size, int type, OutputArray arr) {
              ensureSizeIsEnough(size.height, size.width, type, arr);
          }
  
          static inline
          void swap(GpuMat &a, GpuMat &b) {
              a.swap(b);
          }
  
  //===================================================================================
  // HostMem
  //===================================================================================
  
          inline
          HostMem::HostMem(AllocType alloc_type_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) {
          }
  
          inline
          HostMem::HostMem(const HostMem &m)
                  : flags(m.flags), rows(m.rows), cols(m.cols), step(m.step), data(m.data), refcount(m.refcount), datastart(m.datastart), dataend(m.dataend),
                    alloc_type(m.alloc_type) {
              if (refcount)
                  CV_XADD(refcount, 1);
          }
  
          inline
          HostMem::HostMem(int rows_, int cols_, int type_, AllocType alloc_type_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) {
              if (rows_ > 0 && cols_ > 0)
                  create(rows_, cols_, type_);
          }
  
          inline
          HostMem::HostMem(Size size_, int type_, AllocType alloc_type_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) {
              if (size_.height > 0 && size_.width > 0)
                  create(size_.height, size_.width, type_);
          }
  
          inline
          HostMem::HostMem(InputArray arr, AllocType alloc_type_)
                  : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_) {
              arr.getMat().copyTo(*this);
          }
  
          inline
          HostMem::~HostMem() {
              release();
          }
  
          inline
          HostMem &HostMem::operator=(const HostMem &m) {
              if (this != &m) {
                  HostMem temp(m);
                  swap(temp);
              }
  
              return *this;
          }
  
          inline
          void HostMem::swap(HostMem &b) {
              std::swap(flags, b.flags);
              std::swap(rows, b.rows);
              std::swap(cols, b.cols);
              std::swap(step, b.step);
              std::swap(data, b.data);
              std::swap(datastart, b.datastart);
              std::swap(dataend, b.dataend);
              std::swap(refcount, b.refcount);
              std::swap(alloc_type, b.alloc_type);
          }
  
          inline
          HostMem HostMem::clone() const {
              HostMem m(size(), type(), alloc_type);
              createMatHeader().copyTo(m);
              return m;
          }
  
          inline
          void HostMem::create(Size size_, int type_) {
              create(size_.height, size_.width, type_);
          }
  
          inline
          Mat HostMem::createMatHeader() const {
              return Mat(size(), type(), data, step);
          }
  
          inline
          bool HostMem::isContinuous() const {
              return (flags & Mat::CONTINUOUS_FLAG) != 0;
          }
  
          inline
          size_t HostMem::elemSize() const {
              return CV_ELEM_SIZE(flags);
          }
  
          inline
          size_t HostMem::elemSize1() const {
              return CV_ELEM_SIZE1(flags);
          }
  
          inline
          int HostMem::type() const {
              return CV_MAT_TYPE(flags);
          }
  
          inline
          int HostMem::depth() const {
              return CV_MAT_DEPTH(flags);
          }
  
          inline
          int HostMem::channels() const {
              return CV_MAT_CN(flags);
          }
  
          inline
          size_t HostMem::step1() const {
              return step / elemSize1();
          }
  
          inline
          Size HostMem::size() const {
              return Size(cols, rows);
          }
  
          inline
          bool HostMem::empty() const {
              return data == 0;
          }
  
          static inline
          void swap(HostMem &a, HostMem &b) {
              a.swap(b);
          }
  
  //===================================================================================
  // Stream
  //===================================================================================
  
          inline
          Stream::Stream(const Ptr <Impl> &impl)
                  : impl_(impl) {
          }
  
  //===================================================================================
  // Event
  //===================================================================================
  
          inline
          Event::Event(const Ptr <Impl> &impl)
                  : impl_(impl) {
          }
  
  //===================================================================================
  // Initialization & Info
  //===================================================================================
  
          inline
          bool TargetArchs::has(int major, int minor) {
              return hasPtx(major, minor) || hasBin(major, minor);
          }
  
          inline
          bool TargetArchs::hasEqualOrGreater(int major, int minor) {
              return hasEqualOrGreaterPtx(major, minor) || hasEqualOrGreaterBin(major, minor);
          }
  
          inline
          DeviceInfo::DeviceInfo() {
              device_id_ = getDevice();
          }
  
          inline
          DeviceInfo::DeviceInfo(int device_id) {
              CV_Assert(device_id >= 0 && device_id < getCudaEnabledDeviceCount());
              device_id_ = device_id;
          }
  
          inline
          int DeviceInfo::deviceID() const {
              return device_id_;
          }
  
          inline
          size_t DeviceInfo::freeMemory() const {
              size_t _totalMemory = 0, _freeMemory = 0;
              queryMemory(_totalMemory, _freeMemory);
              return _freeMemory;
          }
  
          inline
          size_t DeviceInfo::totalMemory() const {
              size_t _totalMemory = 0, _freeMemory = 0;
              queryMemory(_totalMemory, _freeMemory);
              return _totalMemory;
          }
  
          inline
          bool DeviceInfo::supports(FeatureSet feature_set) const {
              int version = majorVersion() * 10 + minorVersion();
              return version >= feature_set;
          }
  
  
      }
  } // namespace cv { namespace cuda {
  
  //===================================================================================
  // Mat
  //===================================================================================
  
  namespace cv {
  
      inline
      Mat::Mat(const cuda::GpuMat &m)
              : flags(0), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows) {
          m.download(*this);
      }
  
  }
  
  //! @endcond
  
  #endif // OPENCV_CORE_CUDAINL_HPP
  