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  #ifndef __OPENCV_CORE_CUDAINL_HPP__
  #define __OPENCV_CORE_CUDAINL_HPP__
  
  #include "opencv2/core/cuda.hpp"
  
  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);
  }
  
  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);
  }
  
  //////////////////////////////// CudaMem ////////////////////////////////
  
  inline
  CudaMem::CudaMem(AllocType alloc_type_)
      : flags(0), rows(0), cols(0), step(0), data(0), refcount(0), datastart(0), dataend(0), alloc_type(alloc_type_)
  {
  }
  
  inline
  CudaMem::CudaMem(const CudaMem& 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
  CudaMem::CudaMem(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
  CudaMem::CudaMem(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
  CudaMem::CudaMem(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
  CudaMem::~CudaMem()
  {
      release();
  }
  
  inline
  CudaMem& CudaMem::operator =(const CudaMem& m)
  {
      if (this != &m)
      {
          CudaMem temp(m);
          swap(temp);
      }
  
      return *this;
  }
  
  inline
  void CudaMem::swap(CudaMem& 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
  CudaMem CudaMem::clone() const
  {
      CudaMem m(size(), type(), alloc_type);
      createMatHeader().copyTo(m);
      return m;
  }
  
  inline
  void CudaMem::create(Size size_, int type_)
  {
      create(size_.height, size_.width, type_);
  }
  
  inline
  Mat CudaMem::createMatHeader() const
  {
      return Mat(size(), type(), data, step);
  }
  
  inline
  bool CudaMem::isContinuous() const
  {
      return (flags & Mat::CONTINUOUS_FLAG) != 0;
  }
  
  inline
  size_t CudaMem::elemSize() const
  {
      return CV_ELEM_SIZE(flags);
  }
  
  inline
  size_t CudaMem::elemSize1() const
  {
      return CV_ELEM_SIZE1(flags);
  }
  
  inline
  int CudaMem::type() const
  {
      return CV_MAT_TYPE(flags);
  }
  
  inline
  int CudaMem::depth() const
  {
      return CV_MAT_DEPTH(flags);
  }
  
  inline
  int CudaMem::channels() const
  {
      return CV_MAT_CN(flags);
  }
  
  inline
  size_t CudaMem::step1() const
  {
      return step / elemSize1();
  }
  
  inline
  Size CudaMem::size() const
  {
      return Size(cols, rows);
  }
  
  inline
  bool CudaMem::empty() const
  {
      return data == 0;
  }
  
  static inline
  void swap(CudaMem& a, CudaMem& b)
  {
      a.swap(b);
  }
  
  //////////////////////////////// Stream ///////////////////////////////
  
  inline
  Stream::Stream(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, _freeMemory;
      queryMemory(_totalMemory, _freeMemory);
      return _freeMemory;
  }
  
  inline
  size_t DeviceInfo::totalMemory() const
  {
      size_t _totalMemory, _freeMemory;
      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);
  }
  
  }
  
  #endif // __OPENCV_CORE_CUDAINL_HPP__
  