removed unroll_detail.hpp

diff --git a/modules/cudaarithm/src/cuda/unroll_detail.hpp b/modules/cudaarithm/src/cuda/unroll_detail.hpp
deleted file mode 100644 (file)
index 544d838..0000000
--- a/modules/cudaarithm/src/cuda/unroll_detail.hpp
+++ /dev/null
@@ -1,135 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#ifndef __UNROLL_DETAIL_HPP__
-#define __UNROLL_DETAIL_HPP__
-
-#include <thrust/tuple.h>
-#include "opencv2/core/cuda/common.hpp"
-#include "opencv2/core/cuda/vec_traits.hpp"
-
-namespace detail
-{
-    template <int cn> struct Unroll;
-    template <> struct Unroll<1>
-    {
-        template <int BLOCK_SIZE, typename R>
-        static __device__ __forceinline__ volatile R* smem_tuple(R* smem)
-        {
-            return smem;
-        }
-
-        template <typename R>
-        static __device__ __forceinline__ R& tie(R& val)
-        {
-            return val;
-        }
-
-        template <class Op>
-        static __device__ __forceinline__ const Op& op(const Op& op)
-        {
-            return op;
-        }
-    };
-    template <> struct Unroll<2>
-    {
-        template <int BLOCK_SIZE, typename R>
-        static __device__ __forceinline__ thrust::tuple<volatile R*, volatile R*> smem_tuple(R* smem)
-        {
-            return cv::cuda::device::smem_tuple(smem, smem + BLOCK_SIZE);
-        }
-
-        template <typename R>
-        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&> tie(R& val)
-        {
-            return thrust::tie(val.x, val.y);
-        }
-
-        template <class Op>
-        static __device__ __forceinline__ const thrust::tuple<Op, Op> op(const Op& op)
-        {
-            return thrust::make_tuple(op, op);
-        }
-    };
-    template <> struct Unroll<3>
-    {
-        template <int BLOCK_SIZE, typename R>
-        static __device__ __forceinline__ thrust::tuple<volatile R*, volatile R*, volatile R*> smem_tuple(R* smem)
-        {
-            return cv::cuda::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE);
-        }
-
-        template <typename R>
-        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&> tie(R& val)
-        {
-            return thrust::tie(val.x, val.y, val.z);
-        }
-
-        template <class Op>
-        static __device__ __forceinline__ const thrust::tuple<Op, Op, Op> op(const Op& op)
-        {
-            return thrust::make_tuple(op, op, op);
-        }
-    };
-    template <> struct Unroll<4>
-    {
-        template <int BLOCK_SIZE, typename R>
-        static __device__ __forceinline__ thrust::tuple<volatile R*, volatile R*, volatile R*, volatile R*> smem_tuple(R* smem)
-        {
-            return cv::cuda::device::smem_tuple(smem, smem + BLOCK_SIZE, smem + 2 * BLOCK_SIZE, smem + 3 * BLOCK_SIZE);
-        }
-
-        template <typename R>
-        static __device__ __forceinline__ thrust::tuple<typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&, typename cv::cuda::device::VecTraits<R>::elem_type&> tie(R& val)
-        {
-            return thrust::tie(val.x, val.y, val.z, val.w);
-        }
-
-        template <class Op>
-        static __device__ __forceinline__ const thrust::tuple<Op, Op, Op, Op> op(const Op& op)
-        {
-            return thrust::make_tuple(op, op, op, op);
-        }
-    };
-}
-
-#endif // __UNROLL_DETAIL_HPP__