| /****************************************************************************** |
| * Copyright (c) 2011, Duane Merrill. All rights reserved. |
| * Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved. |
| * |
| * Redistribution and use in source and binary forms, with or without |
| * modification, are permitted provided that the following conditions are met: |
| * * Redistributions of source code must retain the above copyright |
| * notice, this list of conditions and the following disclaimer. |
| * * Redistributions 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. |
| * * Neither the name of the NVIDIA CORPORATION nor the |
| * names of its contributors may 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 NVIDIA CORPORATION 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. |
| * |
| ******************************************************************************/ |
| |
| /** |
| * @file |
| * Thread utilities for sequential search |
| */ |
| |
| #pragma once |
| |
| #include <cub/config.cuh> |
| |
| #if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC) |
| # pragma GCC system_header |
| #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG) |
| # pragma clang system_header |
| #elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC) |
| # pragma system_header |
| #endif // no system header |
| |
| #include <iterator> |
| #include <cub/util_namespace.cuh> |
| #include <cub/util_type.cuh> |
| |
| #include <nv/target> |
| |
| CUB_NAMESPACE_BEGIN |
| |
| |
| /** |
| * Computes the begin offsets into A and B for the specific diagonal |
| */ |
| template < |
| typename AIteratorT, |
| typename BIteratorT, |
| typename OffsetT, |
| typename CoordinateT> |
| __host__ __device__ __forceinline__ void MergePathSearch( |
| OffsetT diagonal, |
| AIteratorT a, |
| BIteratorT b, |
| OffsetT a_len, |
| OffsetT b_len, |
| CoordinateT& path_coordinate) |
| { |
| /// The value type of the input iterator |
| using T = cub::detail::value_t<AIteratorT>; |
| |
| OffsetT split_min = CUB_MAX(diagonal - b_len, 0); |
| OffsetT split_max = CUB_MIN(diagonal, a_len); |
| |
| while (split_min < split_max) |
| { |
| OffsetT split_pivot = (split_min + split_max) >> 1; |
| if (a[split_pivot] <= b[diagonal - split_pivot - 1]) |
| { |
| // Move candidate split range up A, down B |
| split_min = split_pivot + 1; |
| } |
| else |
| { |
| // Move candidate split range up B, down A |
| split_max = split_pivot; |
| } |
| } |
| |
| path_coordinate.x = CUB_MIN(split_min, a_len); |
| path_coordinate.y = diagonal - split_min; |
| } |
| |
| /** |
| * @brief Returns the offset of the first value within @p input which does not compare |
| * less than @p val |
| * |
| * @param[in] input |
| * Input sequence |
| * |
| * @param[in] num_items |
| * Input sequence length |
| * |
| * @param[in] val |
| * Search key |
| */ |
| template <typename InputIteratorT, typename OffsetT, typename T> |
| __device__ __forceinline__ OffsetT LowerBound(InputIteratorT input, OffsetT num_items, T val) |
| { |
| OffsetT retval = 0; |
| while (num_items > 0) |
| { |
| OffsetT half = num_items >> 1; |
| if (input[retval + half] < val) |
| { |
| retval = retval + (half + 1); |
| num_items = num_items - (half + 1); |
| } |
| else |
| { |
| num_items = half; |
| } |
| } |
| |
| return retval; |
| } |
| |
| /** |
| * @brief Returns the offset of the first value within @p input which compares |
| * greater than @p val |
| * |
| * @param[in] input |
| * Input sequence |
| * |
| * @param[in] num_items |
| * Input sequence length |
| * |
| * @param[in] val |
| * Search key |
| */ |
| template <typename InputIteratorT, typename OffsetT, typename T> |
| __device__ __forceinline__ OffsetT UpperBound(InputIteratorT input, OffsetT num_items, T val) |
| { |
| OffsetT retval = 0; |
| while (num_items > 0) |
| { |
| OffsetT half = num_items >> 1; |
| if (val < input[retval + half]) |
| { |
| num_items = half; |
| } |
| else |
| { |
| retval = retval + (half + 1); |
| num_items = num_items - (half + 1); |
| } |
| } |
| |
| return retval; |
| } |
| |
|
|
| #if defined(__CUDA_FP16_TYPES_EXIST__) |
| /** |
| * @param[in] input |
| * Input sequence |
| * |
| * @param[in] num_items |
| * Input sequence length |
| * |
| * @param[in] val |
| * Search key |
| */ |
| template <typename InputIteratorT, typename OffsetT> |
| __device__ __forceinline__ OffsetT UpperBound(InputIteratorT input, OffsetT num_items, __half val) |
| { |
| OffsetT retval = 0; |
| while (num_items > 0) |
| { |
| OffsetT half = num_items >> 1; |
| |
| bool lt; |
| NV_IF_TARGET(NV_PROVIDES_SM_53, |
| (lt = val < input[retval + half];), |
| (lt = __half2float(val) < __half2float(input[retval + half]);)); |
| |
| if (lt) |
| { |
| num_items = half; |
| } |
| else |
| { |
| retval = retval + (half + 1); |
| num_items = num_items - (half + 1); |
| } |
| } |
| |
| return retval; |
| } |
| #endif |
| |
| CUB_NAMESPACE_END |
| |