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404 lines
13 KiB
C++
404 lines
13 KiB
C++
/******************************************************************************
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* Copyright (c) 2016, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the
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* names of its contributors may be used to endorse or promote products
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* derived from this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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* ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
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* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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******************************************************************************/
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#pragma once
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#include <thrust/detail/config.h>
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#if defined(_CCCL_IMPLICIT_SYSTEM_HEADER_GCC)
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# pragma GCC system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_CLANG)
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# pragma clang system_header
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#elif defined(_CCCL_IMPLICIT_SYSTEM_HEADER_MSVC)
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# pragma system_header
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#endif // no system header
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#if _CCCL_HAS_CUDA_COMPILER
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# include <thrust/system/cuda/config.h>
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# include <cub/device/device_transform.cuh>
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# include <thrust/distance.h>
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# include <thrust/iterator/zip_iterator.h>
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# include <thrust/system/cuda/detail/dispatch.h>
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# include <thrust/system/cuda/detail/parallel_for.h>
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# include <thrust/system/cuda/detail/util.h>
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# include <thrust/zip_function.h>
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# include <cuda/__functional/address_stability.h>
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# include <cstdint>
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THRUST_NAMESPACE_BEGIN
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namespace cuda_cub
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{
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namespace __transform
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{
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struct no_stencil_tag
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{};
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struct always_true_predicate
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{
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template <class T>
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constexpr bool THRUST_DEVICE_FUNCTION operator()(T const&) const
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{
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return true;
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}
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};
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template <class InputIt, class OutputIt, class StencilIt, class TransformOp, class Predicate>
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struct unary_transform_f
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{
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InputIt input;
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OutputIt output;
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StencilIt stencil;
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TransformOp op;
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Predicate pred;
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THRUST_FUNCTION
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unary_transform_f(InputIt input_, OutputIt output_, StencilIt stencil_, TransformOp op_, Predicate pred_)
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: input(input_)
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, output(output_)
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, stencil(stencil_)
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, op(op_)
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, pred(pred_)
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{}
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template <class Size>
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void THRUST_DEVICE_FUNCTION operator()(Size idx)
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{
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if (pred(raw_reference_cast(stencil[idx])))
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{
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output[idx] = op(raw_reference_cast(input[idx]));
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}
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}
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}; // struct unary_transform_stencil_f
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template <class InputIt, class OutputIt, class TransformOp, class Predicate>
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struct unary_transform_f<InputIt, OutputIt, no_stencil_tag, TransformOp, Predicate>
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{
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InputIt input;
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OutputIt output;
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TransformOp op;
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Predicate pred;
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THRUST_FUNCTION
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unary_transform_f(InputIt input_, OutputIt output_, no_stencil_tag, TransformOp op_, Predicate pred_)
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: input(input_)
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, output(output_)
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, op(op_)
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, pred(pred_)
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{}
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template <class Size>
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void THRUST_DEVICE_FUNCTION operator()(Size idx)
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{
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if (pred(raw_reference_cast(input[idx])))
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{
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output[idx] = op(raw_reference_cast(input[idx]));
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}
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}
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}; // struct unary_transform_f
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template <class InputIt1, class InputIt2, class OutputIt, class StencilIt, class TransformOp, class Predicate>
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struct binary_transform_f
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{
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InputIt1 input1;
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InputIt2 input2;
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OutputIt output;
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StencilIt stencil;
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TransformOp op;
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Predicate pred;
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THRUST_FUNCTION
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binary_transform_f(
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InputIt1 input1_, InputIt2 input2_, OutputIt output_, StencilIt stencil_, TransformOp op_, Predicate pred_)
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: input1(input1_)
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, input2(input2_)
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, output(output_)
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, stencil(stencil_)
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, op(op_)
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, pred(pred_)
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{}
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template <class Size>
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void THRUST_DEVICE_FUNCTION operator()(Size idx)
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{
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if (pred(raw_reference_cast(stencil[idx])))
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{
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output[idx] = op(raw_reference_cast(input1[idx]), raw_reference_cast(input2[idx]));
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}
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}
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}; // struct binary_transform_stencil_f
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template <class InputIt1, class InputIt2, class OutputIt, class TransformOp, class Predicate>
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struct binary_transform_f<InputIt1, InputIt2, OutputIt, no_stencil_tag, TransformOp, Predicate>
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{
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InputIt1 input1;
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InputIt2 input2;
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OutputIt output;
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TransformOp op;
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Predicate pred;
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THRUST_FUNCTION
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binary_transform_f(
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InputIt1 input1_, InputIt2 input2_, OutputIt output_, no_stencil_tag, TransformOp op_, Predicate pred_)
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: input1(input1_)
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, input2(input2_)
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, output(output_)
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, op(op_)
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, pred(pred_)
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{}
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template <class Size>
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void THRUST_DEVICE_FUNCTION operator()(Size idx)
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{
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if (pred(raw_reference_cast(input1[idx])))
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{
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output[idx] = op(raw_reference_cast(input1[idx]), raw_reference_cast(input2[idx]));
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}
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}
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}; // struct binary_transform_f
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// EAN 2024-10-04: when force-inlined, gcc's optimizer will generate bad code
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// for this function:
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template <class Policy, class InputIt, class Size, class OutputIt, class StencilIt, class TransformOp, class Predicate>
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OutputIt _CCCL_HOST_DEVICE inline unary(
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Policy& policy,
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InputIt items,
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OutputIt result,
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Size num_items,
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StencilIt stencil,
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TransformOp transform_op,
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Predicate predicate)
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{
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if (num_items == 0)
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{
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return result;
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}
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using unary_transform_t = unary_transform_f<InputIt, OutputIt, StencilIt, TransformOp, Predicate>;
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cuda_cub::parallel_for(policy, unary_transform_t(items, result, stencil, transform_op, predicate), num_items);
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return result + num_items;
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}
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// EAN 2024-10-04: when force-inlined, gcc's optimizer will generate bad code
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// for this function:
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template <class Policy,
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class InputIt1,
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class InputIt2,
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class Size,
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class OutputIt,
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class StencilIt,
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class TransformOp,
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class Predicate>
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OutputIt _CCCL_HOST_DEVICE inline binary(
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Policy& policy,
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InputIt1 items1,
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InputIt2 items2,
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OutputIt result,
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Size num_items,
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StencilIt stencil,
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TransformOp transform_op,
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Predicate predicate)
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{
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if (num_items == 0)
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{
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return result;
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}
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using binary_transform_t = binary_transform_f<InputIt1, InputIt2, OutputIt, StencilIt, TransformOp, Predicate>;
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cuda_cub::parallel_for(
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policy, binary_transform_t(items1, items2, result, stencil, transform_op, predicate), num_items);
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return result + num_items;
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}
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_CCCL_EXEC_CHECK_DISABLE
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template <class Derived, class Offset, class... InputIts, class OutputIt, class TransformOp>
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OutputIt THRUST_FUNCTION cub_transform_many(
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execution_policy<Derived>& policy,
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::cuda::std::tuple<InputIts...> firsts,
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OutputIt result,
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Offset num_items,
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TransformOp transform_op)
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{
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if (num_items == 0)
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{
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return result;
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}
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constexpr auto requires_stable_address = !::cuda::proclaims_copyable_arguments<TransformOp>::value;
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cudaError_t status;
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THRUST_INDEX_TYPE_DISPATCH(
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status,
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(cub::detail::transform::dispatch_t<requires_stable_address,
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decltype(num_items_fixed),
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::cuda::std::tuple<InputIts...>,
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OutputIt,
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TransformOp>::dispatch),
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num_items,
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(firsts, result, num_items_fixed, transform_op, cuda_cub::stream(policy)));
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throw_on_error(status, "transform: failed inside CUB");
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status = cuda_cub::synchronize_optional(policy);
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throw_on_error(status, "transform: failed to synchronize");
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return result + num_items;
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}
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template <typename... Ts, std::size_t... Is>
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THRUST_FUNCTION auto convert_to_std_tuple(tuple<Ts...> t, ::cuda::std::index_sequence<Is...>)
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-> ::cuda::std::tuple<Ts...>
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{
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return ::cuda::std::tuple<Ts...>{get<Is>(t)...};
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}
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// unwrap zip_iterator and zip_function into their underlying iterators so cub::DeviceTransform can optimize them
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template <class Derived, class Offset, class... InputIts, class OutputIt, class TransformOp>
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OutputIt THRUST_FUNCTION cub_transform_many(
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execution_policy<Derived>& policy,
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::cuda::std::tuple<zip_iterator<tuple<InputIts...>>> firsts,
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OutputIt result,
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Offset num_items,
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zip_function<TransformOp> transform_op)
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{
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return cub_transform_many(
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policy,
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convert_to_std_tuple(get<0>(firsts).get_iterator_tuple(), ::cuda::std::index_sequence_for<InputIts...>{}),
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result,
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num_items,
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transform_op.underlying_function());
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}
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} // namespace __transform
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//-------------------------
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// Thrust API entry points
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//-------------------------
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//-------------------------
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// one input data stream
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//-------------------------
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template <class Derived, class InputIt, class OutputIt, class StencilInputIt, class TransformOp, class Predicate>
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OutputIt THRUST_FUNCTION transform_if(
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execution_policy<Derived>& policy,
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InputIt first,
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InputIt last,
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StencilInputIt stencil,
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OutputIt result,
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TransformOp transform_op,
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Predicate predicate)
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{
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using size_type = typename iterator_traits<InputIt>::difference_type;
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size_type num_items = static_cast<size_type>(thrust::distance(first, last));
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return __transform::unary(policy, first, result, num_items, stencil, transform_op, predicate);
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} // func transform_if
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template <class Derived, class InputIt, class OutputIt, class TransformOp, class Predicate>
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OutputIt THRUST_FUNCTION transform_if(
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execution_policy<Derived>& policy,
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InputIt first,
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InputIt last,
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OutputIt result,
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TransformOp transform_op,
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Predicate predicate)
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{
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return cuda_cub::transform_if(policy, first, last, __transform::no_stencil_tag(), result, transform_op, predicate);
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} // func transform_if
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template <class Derived, class InputIt, class OutputIt, class TransformOp>
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OutputIt THRUST_FUNCTION
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transform(execution_policy<Derived>& policy, InputIt first, InputIt last, OutputIt result, TransformOp transform_op)
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{
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THRUST_CDP_DISPATCH(
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(using size_type = typename iterator_traits<InputIt>::difference_type;
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const auto num_items = static_cast<size_type>(thrust::distance(first, last));
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return __transform::cub_transform_many(policy, ::cuda::std::make_tuple(first), result, num_items, transform_op);),
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(while (first != last) {
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*result = transform_op(raw_reference_cast(*first));
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++first;
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++result;
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} return result;));
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} // func transform
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//-------------------------
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// two input data streams
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//-------------------------
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template <class Derived,
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class InputIt1,
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class InputIt2,
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class StencilInputIt,
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class OutputIt,
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class TransformOp,
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class Predicate>
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OutputIt THRUST_FUNCTION transform_if(
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execution_policy<Derived>& policy,
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InputIt1 first1,
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InputIt1 last1,
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InputIt2 first2,
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StencilInputIt stencil,
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OutputIt result,
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TransformOp transform_op,
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Predicate predicate)
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{
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using size_type = typename iterator_traits<InputIt1>::difference_type;
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size_type num_items = static_cast<size_type>(thrust::distance(first1, last1));
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return __transform::binary(policy, first1, first2, result, num_items, stencil, transform_op, predicate);
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} // func transform_if
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template <class Derived, class InputIt1, class InputIt2, class OutputIt, class TransformOp>
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OutputIt THRUST_FUNCTION transform(
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execution_policy<Derived>& policy,
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InputIt1 first1,
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InputIt1 last1,
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InputIt2 first2,
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OutputIt result,
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TransformOp transform_op)
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{
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THRUST_CDP_DISPATCH(
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(using size_type = typename iterator_traits<InputIt1>::difference_type;
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const auto num_items = static_cast<size_type>(thrust::distance(first1, last1));
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return __transform::cub_transform_many(
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policy, ::cuda::std::make_tuple(first1, first2), result, num_items, transform_op);),
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(while (first1 != last1) {
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*result = transform_op(raw_reference_cast(*first1), raw_reference_cast(*first2));
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++first1;
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++first2;
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++result;
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} return result;));
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}
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} // namespace cuda_cub
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THRUST_NAMESPACE_END
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#endif
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