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  //                           License Agreement
  //                For Open Source Computer Vision Library
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  #include "precomp.hpp"
  
  using namespace cv;
  using namespace cv::cuda;
  
  #if !defined (HAVE_HIP) || defined (CUDA_DISABLER)
  
  double cv::cuda::norm(InputArray, int, InputArray) { throw_no_cuda(); return 0.0; }
  void cv::cuda::calcNorm(InputArray, OutputArray, int, InputArray, Stream&) { throw_no_cuda(); }
  double cv::cuda::norm(InputArray, InputArray, int) { throw_no_cuda(); return 0.0; }
  void cv::cuda::calcNormDiff(InputArray, InputArray, OutputArray, int, Stream&) { throw_no_cuda(); }
  
  Scalar cv::cuda::sum(InputArray, InputArray) { throw_no_cuda(); return Scalar(); }
  void cv::cuda::calcSum(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
  Scalar cv::cuda::absSum(InputArray, InputArray) { throw_no_cuda(); return Scalar(); }
  void cv::cuda::calcAbsSum(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
  Scalar cv::cuda::sqrSum(InputArray, InputArray) { throw_no_cuda(); return Scalar(); }
  void cv::cuda::calcSqrSum(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
  
  void cv::cuda::minMax(InputArray, double*, double*, InputArray) { throw_no_cuda(); }
  void cv::cuda::findMinMax(InputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
  void cv::cuda::minMaxLoc(InputArray, double*, double*, Point*, Point*, InputArray) { throw_no_cuda(); }
  void cv::cuda::findMinMaxLoc(InputArray, OutputArray, OutputArray, InputArray, Stream&) { throw_no_cuda(); }
  
  int cv::cuda::countNonZero(InputArray) { throw_no_cuda(); return 0; }
  void cv::cuda::countNonZero(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
  
  void cv::cuda::reduce(InputArray, OutputArray, int, int, int, Stream&) { throw_no_cuda(); }
  
  void cv::cuda::meanStdDev(InputArray, Scalar&, Scalar&) { throw_no_cuda(); }
  void cv::cuda::meanStdDev(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
  
  void cv::cuda::rectStdDev(InputArray, InputArray, OutputArray, Rect, Stream&) { throw_no_cuda(); }
  
  void cv::cuda::normalize(InputArray, OutputArray, double, double, int, int, InputArray, Stream&) { throw_no_cuda(); }
  
  void cv::cuda::integral(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
  void cv::cuda::sqrIntegral(InputArray, OutputArray, Stream&) { throw_no_cuda(); }
  
  #else
  
  ////////////////////////////////////////////////////////////////////////
  // norm
  
  namespace cv { namespace cuda { namespace device {
  
  void normL2(cv::InputArray _src, cv::OutputArray _dst, cv::InputArray _mask, Stream& stream);
  
  void findMaxAbs(cv::InputArray _src, cv::OutputArray _dst, cv::InputArray _mask, Stream& stream);
  
  }}}
  
  void cv::cuda::calcNorm(InputArray _src, OutputArray dst, int normType, InputArray mask, Stream& stream)
  {
      CV_Assert( normType == NORM_INF || normType == NORM_L1 || normType == NORM_L2 );
  
      GpuMat src = getInputMat(_src, stream);
  
      GpuMat src_single_channel = src.reshape(1);
  
      if (normType == NORM_L1)
      {
          calcAbsSum(src_single_channel, dst, mask, stream);
      }
      else if (normType == NORM_L2)
      {
          cv::cuda::device::normL2(src_single_channel, dst, mask, stream);
      }
      else // NORM_INF
      {
          cv::cuda::device::findMaxAbs(src_single_channel, dst, mask, stream);
      }
  }
  
  double cv::cuda::norm(InputArray _src, int normType, InputArray _mask)
  {
      Stream& stream = Stream::Null();
  
      HostMem dst;
      calcNorm(_src, dst, normType, _mask, stream);
  
      stream.waitForCompletion();
  
      double val;
      dst.createMatHeader().convertTo(Mat(1, 1, CV_64FC1, &val), CV_64F);
  
      return val;
  }
  
  ////////////////////////////////////////////////////////////////////////
  // meanStdDev
  
  void cv::cuda::meanStdDev(InputArray _src, OutputArray _dst, Stream& stream)
  {
      if (!deviceSupports(FEATURE_SET_COMPUTE_13))
          CV_Error(cv::Error::StsNotImplemented, "Not sufficient compute capebility");
  
      const GpuMat src = getInputMat(_src, stream);
  
      CV_Assert( src.type() == CV_8UC1 );
  
      GpuMat dst = getOutputMat(_dst, 1, 2, CV_64FC1, stream);
  
  #ifdef NPP_ENABLE
      NppiSize sz;
      sz.width  = src.cols;
      sz.height = src.rows;
  
      int bufSize;
  #if (CUDA_VERSION <= 4020)
      nppSafeCall( nppiMeanStdDev8uC1RGetBufferHostSize(sz, &bufSize) );
  #else
      nppSafeCall( nppiMeanStdDevGetBufferHostSize_8u_C1R(sz, &bufSize) );
  #endif
  
      BufferPool pool(stream);
      GpuMat buf = pool.getBuffer(1, bufSize, CV_8UC1);
  
      // detail: https://github.com/opencv/opencv/issues/11063
      //NppStreamHandler h(StreamAccessor::getStream(stream));
  
      nppSafeCall( nppiMean_StdDev_8u_C1R(src.ptr<Npp8u>(), static_cast<int>(src.step), sz, buf.ptr<Npp8u>(), dst.ptr<Npp64f>(), dst.ptr<Npp64f>() + 1) );
  
      syncOutput(dst, _dst, stream);
  #endif //NPP_ENABLE
  
  }
  
  void cv::cuda::meanStdDev(InputArray _src, Scalar& mean, Scalar& stddev)
  {
      Stream& stream = Stream::Null();
  
      HostMem dst;
      meanStdDev(_src, dst, stream);
  
      stream.waitForCompletion();
  
      double vals[2];
      dst.createMatHeader().copyTo(Mat(1, 2, CV_64FC1, &vals[0]));
  
      mean = Scalar(vals[0]);
      stddev = Scalar(vals[1]);
  }
  
  //////////////////////////////////////////////////////////////////////////////
  // rectStdDev
  
  void cv::cuda::rectStdDev(InputArray _src, InputArray _sqr, OutputArray _dst, Rect rect, Stream& _stream)
  {
      GpuMat src = getInputMat(_src, _stream);
      GpuMat sqr = getInputMat(_sqr, _stream);
  
      CV_Assert( src.type() == CV_32SC1 && sqr.type() == CV_64FC1 );
  
      GpuMat dst = getOutputMat(_dst, src.size(), CV_32FC1, _stream);
  
  #ifdef NPP_ENABLE
      NppiSize sz;
      sz.width = src.cols;
      sz.height = src.rows;
  
      NppiRect nppRect;
      nppRect.height = rect.height;
      nppRect.width = rect.width;
      nppRect.x = rect.x;
      nppRect.y = rect.y;
  
      hipStream_t stream = StreamAccessor::getStream(_stream);
  
      NppStreamHandler h(stream);
  
      nppSafeCall( nppiRectStdDev_32s32f_C1R(src.ptr<Npp32s>(), static_cast<int>(src.step), sqr.ptr<Npp64f>(), static_cast<int>(sqr.step),
                  dst.ptr<Npp32f>(), static_cast<int>(dst.step), sz, nppRect) );
  
      if (stream == 0)
          cudaSafeCall( hipDeviceSynchronize() );
  
      syncOutput(dst, _dst, _stream);
  #endif //NPP_ENABLE
  
  }
  
  #endif
  