root/modules/core/include/opencv2/core/cuda/detail/transform_detail.hpp

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INCLUDED FROM

DEFINITIONS

This source file includes following definitions.
  1. unroll
  2. unroll
  3. unroll
  4. unroll
  5. unroll
  6. unroll
  7. unroll
  8. unroll
  9. unroll
  10. unroll
  11. transformSmart
  12. transformSimple
  13. transformSmart
  14. transformSimple
  15. call
  16. call
  17. call
  18. call
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#ifndef __OPENCV_CUDA_TRANSFORM_DETAIL_HPP__
#define __OPENCV_CUDA_TRANSFORM_DETAIL_HPP__

#include "../common.hpp"
#include "../vec_traits.hpp"
#include "../functional.hpp"

//! @cond IGNORED

namespace cv { namespace cuda { namespace device
{
    namespace transform_detail
    {
        //! Read Write Traits

        template <typename T, typename D, int shift> struct UnaryReadWriteTraits
        {
            typedef typename TypeVec<T, shift>::vec_type read_type;
            typedef typename TypeVec<D, shift>::vec_type write_type;
        };

        template <typename T1, typename T2, typename D, int shift> struct BinaryReadWriteTraits
        {
            typedef typename TypeVec<T1, shift>::vec_type read_type1;
            typedef typename TypeVec<T2, shift>::vec_type read_type2;
            typedef typename TypeVec<D, shift>::vec_type write_type;
        };

        //! Transform kernels

        template <int shift> struct OpUnroller;
        template <> struct OpUnroller<1>
        {
            template <typename T, typename D, typename UnOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, UnOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src.x);
            }

            template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, BinOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src1.x, src2.x);
            }
        };
        template <> struct OpUnroller<2>
        {
            template <typename T, typename D, typename UnOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, UnOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src.x);
                if (mask(y, x_shifted + 1))
                    dst.y = op(src.y);
            }

            template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, BinOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src1.x, src2.x);
                if (mask(y, x_shifted + 1))
                    dst.y = op(src1.y, src2.y);
            }
        };
        template <> struct OpUnroller<3>
        {
            template <typename T, typename D, typename UnOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, const UnOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src.x);
                if (mask(y, x_shifted + 1))
                    dst.y = op(src.y);
                if (mask(y, x_shifted + 2))
                    dst.z = op(src.z);
            }

            template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, const BinOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src1.x, src2.x);
                if (mask(y, x_shifted + 1))
                    dst.y = op(src1.y, src2.y);
                if (mask(y, x_shifted + 2))
                    dst.z = op(src1.z, src2.z);
            }
        };
        template <> struct OpUnroller<4>
        {
            template <typename T, typename D, typename UnOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, const UnOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src.x);
                if (mask(y, x_shifted + 1))
                    dst.y = op(src.y);
                if (mask(y, x_shifted + 2))
                    dst.z = op(src.z);
                if (mask(y, x_shifted + 3))
                    dst.w = op(src.w);
            }

            template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, const BinOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.x = op(src1.x, src2.x);
                if (mask(y, x_shifted + 1))
                    dst.y = op(src1.y, src2.y);
                if (mask(y, x_shifted + 2))
                    dst.z = op(src1.z, src2.z);
                if (mask(y, x_shifted + 3))
                    dst.w = op(src1.w, src2.w);
            }
        };
        template <> struct OpUnroller<8>
        {
            template <typename T, typename D, typename UnOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T& src, D& dst, const Mask& mask, const UnOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.a0 = op(src.a0);
                if (mask(y, x_shifted + 1))
                    dst.a1 = op(src.a1);
                if (mask(y, x_shifted + 2))
                    dst.a2 = op(src.a2);
                if (mask(y, x_shifted + 3))
                    dst.a3 = op(src.a3);
                if (mask(y, x_shifted + 4))
                    dst.a4 = op(src.a4);
                if (mask(y, x_shifted + 5))
                    dst.a5 = op(src.a5);
                if (mask(y, x_shifted + 6))
                    dst.a6 = op(src.a6);
                if (mask(y, x_shifted + 7))
                    dst.a7 = op(src.a7);
            }

            template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
            static __device__ __forceinline__ void unroll(const T1& src1, const T2& src2, D& dst, const Mask& mask, const BinOp& op, int x_shifted, int y)
            {
                if (mask(y, x_shifted))
                    dst.a0 = op(src1.a0, src2.a0);
                if (mask(y, x_shifted + 1))
                    dst.a1 = op(src1.a1, src2.a1);
                if (mask(y, x_shifted + 2))
                    dst.a2 = op(src1.a2, src2.a2);
                if (mask(y, x_shifted + 3))
                    dst.a3 = op(src1.a3, src2.a3);
                if (mask(y, x_shifted + 4))
                    dst.a4 = op(src1.a4, src2.a4);
                if (mask(y, x_shifted + 5))
                    dst.a5 = op(src1.a5, src2.a5);
                if (mask(y, x_shifted + 6))
                    dst.a6 = op(src1.a6, src2.a6);
                if (mask(y, x_shifted + 7))
                    dst.a7 = op(src1.a7, src2.a7);
            }
        };

        template <typename T, typename D, typename UnOp, typename Mask>
        static __global__ void transformSmart(const PtrStepSz<T> src_, PtrStep<D> dst_, const Mask mask, const UnOp op)
        {
            typedef TransformFunctorTraits<UnOp> ft;
            typedef typename UnaryReadWriteTraits<T, D, ft::smart_shift>::read_type read_type;
            typedef typename UnaryReadWriteTraits<T, D, ft::smart_shift>::write_type write_type;

            const int x = threadIdx.x + blockIdx.x * blockDim.x;
            const int y = threadIdx.y + blockIdx.y * blockDim.y;
            const int x_shifted = x * ft::smart_shift;

            if (y < src_.rows)
            {
                const T* src = src_.ptr(y);
                D* dst = dst_.ptr(y);

                if (x_shifted + ft::smart_shift - 1 < src_.cols)
                {
                    const read_type src_n_el = ((const read_type*)src)[x];
                    write_type dst_n_el = ((const write_type*)dst)[x];

                    OpUnroller<ft::smart_shift>::unroll(src_n_el, dst_n_el, mask, op, x_shifted, y);

                    ((write_type*)dst)[x] = dst_n_el;
                }
                else
                {
                    for (int real_x = x_shifted; real_x < src_.cols; ++real_x)
                    {
                        if (mask(y, real_x))
                            dst[real_x] = op(src[real_x]);
                    }
                }
            }
        }

        template <typename T, typename D, typename UnOp, typename Mask>
        __global__ static void transformSimple(const PtrStepSz<T> src, PtrStep<D> dst, const Mask mask, const UnOp op)
        {
            const int x = blockDim.x * blockIdx.x + threadIdx.x;
            const int y = blockDim.y * blockIdx.y + threadIdx.y;

            if (x < src.cols && y < src.rows && mask(y, x))
            {
                dst.ptr(y)[x] = op(src.ptr(y)[x]);
            }
        }

        template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
        static __global__ void transformSmart(const PtrStepSz<T1> src1_, const PtrStep<T2> src2_, PtrStep<D> dst_,
            const Mask mask, const BinOp op)
        {
            typedef TransformFunctorTraits<BinOp> ft;
            typedef typename BinaryReadWriteTraits<T1, T2, D, ft::smart_shift>::read_type1 read_type1;
            typedef typename BinaryReadWriteTraits<T1, T2, D, ft::smart_shift>::read_type2 read_type2;
            typedef typename BinaryReadWriteTraits<T1, T2, D, ft::smart_shift>::write_type write_type;

            const int x = threadIdx.x + blockIdx.x * blockDim.x;
            const int y = threadIdx.y + blockIdx.y * blockDim.y;
            const int x_shifted = x * ft::smart_shift;

            if (y < src1_.rows)
            {
                const T1* src1 = src1_.ptr(y);
                const T2* src2 = src2_.ptr(y);
                D* dst = dst_.ptr(y);

                if (x_shifted + ft::smart_shift - 1 < src1_.cols)
                {
                    const read_type1 src1_n_el = ((const read_type1*)src1)[x];
                    const read_type2 src2_n_el = ((const read_type2*)src2)[x];
                    write_type dst_n_el = ((const write_type*)dst)[x];

                    OpUnroller<ft::smart_shift>::unroll(src1_n_el, src2_n_el, dst_n_el, mask, op, x_shifted, y);

                    ((write_type*)dst)[x] = dst_n_el;
                }
                else
                {
                    for (int real_x = x_shifted; real_x < src1_.cols; ++real_x)
                    {
                        if (mask(y, real_x))
                            dst[real_x] = op(src1[real_x], src2[real_x]);
                    }
                }
            }
        }

        template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
        static __global__ void transformSimple(const PtrStepSz<T1> src1, const PtrStep<T2> src2, PtrStep<D> dst,
            const Mask mask, const BinOp op)
        {
            const int x = blockDim.x * blockIdx.x + threadIdx.x;
            const int y = blockDim.y * blockIdx.y + threadIdx.y;

            if (x < src1.cols && y < src1.rows && mask(y, x))
            {
                const T1 src1_data = src1.ptr(y)[x];
                const T2 src2_data = src2.ptr(y)[x];
                dst.ptr(y)[x] = op(src1_data, src2_data);
            }
        }

        template <bool UseSmart> struct TransformDispatcher;
        template<> struct TransformDispatcher<false>
        {
            template <typename T, typename D, typename UnOp, typename Mask>
            static void call(PtrStepSz<T> src, PtrStepSz<D> dst, UnOp op, Mask mask, cudaStream_t stream)
            {
                typedef TransformFunctorTraits<UnOp> ft;

                const dim3 threads(ft::simple_block_dim_x, ft::simple_block_dim_y, 1);
                const dim3 grid(divUp(src.cols, threads.x), divUp(src.rows, threads.y), 1);

                transformSimple<T, D><<<grid, threads, 0, stream>>>(src, dst, mask, op);
                cudaSafeCall( cudaGetLastError() );

                if (stream == 0)
                    cudaSafeCall( cudaDeviceSynchronize() );
            }

            template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
            static void call(PtrStepSz<T1> src1, PtrStepSz<T2> src2, PtrStepSz<D> dst, BinOp op, Mask mask, cudaStream_t stream)
            {
                typedef TransformFunctorTraits<BinOp> ft;

                const dim3 threads(ft::simple_block_dim_x, ft::simple_block_dim_y, 1);
                const dim3 grid(divUp(src1.cols, threads.x), divUp(src1.rows, threads.y), 1);

                transformSimple<T1, T2, D><<<grid, threads, 0, stream>>>(src1, src2, dst, mask, op);
                cudaSafeCall( cudaGetLastError() );

                if (stream == 0)
                    cudaSafeCall( cudaDeviceSynchronize() );
            }
        };
        template<> struct TransformDispatcher<true>
        {
            template <typename T, typename D, typename UnOp, typename Mask>
            static void call(PtrStepSz<T> src, PtrStepSz<D> dst, UnOp op, Mask mask, cudaStream_t stream)
            {
                typedef TransformFunctorTraits<UnOp> ft;

                CV_StaticAssert(ft::smart_shift != 1, "");

                if (!isAligned(src.data, ft::smart_shift * sizeof(T)) || !isAligned(src.step, ft::smart_shift * sizeof(T)) ||
                    !isAligned(dst.data, ft::smart_shift * sizeof(D)) || !isAligned(dst.step, ft::smart_shift * sizeof(D)))
                {
                    TransformDispatcher<false>::call(src, dst, op, mask, stream);
                    return;
                }

                const dim3 threads(ft::smart_block_dim_x, ft::smart_block_dim_y, 1);
                const dim3 grid(divUp(src.cols, threads.x * ft::smart_shift), divUp(src.rows, threads.y), 1);

                transformSmart<T, D><<<grid, threads, 0, stream>>>(src, dst, mask, op);
                cudaSafeCall( cudaGetLastError() );

                if (stream == 0)
                    cudaSafeCall( cudaDeviceSynchronize() );
            }

            template <typename T1, typename T2, typename D, typename BinOp, typename Mask>
            static void call(PtrStepSz<T1> src1, PtrStepSz<T2> src2, PtrStepSz<D> dst, BinOp op, Mask mask, cudaStream_t stream)
            {
                typedef TransformFunctorTraits<BinOp> ft;

                CV_StaticAssert(ft::smart_shift != 1, "");

                if (!isAligned(src1.data, ft::smart_shift * sizeof(T1)) || !isAligned(src1.step, ft::smart_shift * sizeof(T1)) ||
                    !isAligned(src2.data, ft::smart_shift * sizeof(T2)) || !isAligned(src2.step, ft::smart_shift * sizeof(T2)) ||
                    !isAligned(dst.data, ft::smart_shift * sizeof(D)) || !isAligned(dst.step, ft::smart_shift * sizeof(D)))
                {
                    TransformDispatcher<false>::call(src1, src2, dst, op, mask, stream);
                    return;
                }

                const dim3 threads(ft::smart_block_dim_x, ft::smart_block_dim_y, 1);
                const dim3 grid(divUp(src1.cols, threads.x * ft::smart_shift), divUp(src1.rows, threads.y), 1);

                transformSmart<T1, T2, D><<<grid, threads, 0, stream>>>(src1, src2, dst, mask, op);
                cudaSafeCall( cudaGetLastError() );

                if (stream == 0)
                    cudaSafeCall( cudaDeviceSynchronize() );
            }
        };
    } // namespace transform_detail
}}} // namespace cv { namespace cuda { namespace cudev

//! @endcond

#endif // __OPENCV_CUDA_TRANSFORM_DETAIL_HPP__
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