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1553 lines
73 KiB
1553 lines
73 KiB
![]()
11 years ago
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/*
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* Copyright 2008-2012 NVIDIA Corporation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*! \file scan.h
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* \brief Functions for computing prefix sums
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*/
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#pragma once
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#include <thrust/detail/config.h>
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#include <thrust/detail/execution_policy.h>
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namespace thrust
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{
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/*! \addtogroup algorithms
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*/
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/*! \addtogroup prefixsums Prefix Sums
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* \ingroup algorithms
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* \{
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*/
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/*! \p inclusive_scan computes an inclusive prefix sum operation. The
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* term 'inclusive' means that each result includes the corresponding
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* input operand in the partial sum. More precisely, <tt>*first</tt> is
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* assigned to <tt>*result</tt> and the sum of <tt>*first</tt> and
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* <tt>*(first + 1)</tt> is assigned to <tt>*(result + 1)</tt>, and so on.
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* This version of \p inclusive_scan assumes plus as the associative operator.
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* When the input and output sequences are the same, the scan is performed
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* in-place.
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* \p inclusive_scan is similar to \c std::partial_sum in the STL. The primary
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* difference between the two functions is that \c std::partial_sum guarantees
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* a serial summation order, while \p inclusive_scan requires associativity of
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* the binary operation to parallelize the prefix sum.
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*
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* The algorithm's execution is parallelized as determined by \p exec.
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*
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* \param exec The execution policy to use for parallelization.
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* \param first The beginning of the input sequence.
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* \param last The end of the input sequence.
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* \param result The beginning of the output sequence.
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* \return The end of the output sequence.
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*
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* \tparam DerivedPolicy The name of the derived execution policy.
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* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
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* and \c InputIterator's \c value_type is convertible to
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* \c OutputIterator's \c value_type.
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* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
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* and if \c x and \c y are objects of \c OutputIterator's
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* \c value_type, then <tt>x + y</tt> is defined. If \c T is
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* \c OutputIterator's \c value_type, then <tt>T(0)</tt> is
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* defined.
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*
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* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
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*
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* The following code snippet demonstrates how to use \p inclusive_scan to compute an in-place
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* prefix sum using the \p thrust::host execution policy for parallelization:
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*
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* \code
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* #include <thrust/scan.h>
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* #include <thrust/execution_policy.h>
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* ...
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*
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* int data[6] = {1, 0, 2, 2, 1, 3};
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*
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* thrust::inclusive_scan(thrust::host, data, data + 6, data); // in-place scan
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*
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* // data is now {1, 1, 3, 5, 6, 9}
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* \endcode
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*
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* \see http://www.sgi.com/tech/stl/partial_sum.html
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*
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*/
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template<typename DerivedPolicy,
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typename InputIterator,
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typename OutputIterator>
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OutputIterator inclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
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InputIterator first,
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InputIterator last,
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OutputIterator result);
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|
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|
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/*! \p inclusive_scan computes an inclusive prefix sum operation. The
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* term 'inclusive' means that each result includes the corresponding
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|
* input operand in the partial sum. More precisely, <tt>*first</tt> is
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* assigned to <tt>*result</tt> and the sum of <tt>*first</tt> and
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* <tt>*(first + 1)</tt> is assigned to <tt>*(result + 1)</tt>, and so on.
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* This version of \p inclusive_scan assumes plus as the associative operator.
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* When the input and output sequences are the same, the scan is performed
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* in-place.
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|
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* \p inclusive_scan is similar to \c std::partial_sum in the STL. The primary
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* difference between the two functions is that \c std::partial_sum guarantees
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* a serial summation order, while \p inclusive_scan requires associativity of
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* the binary operation to parallelize the prefix sum.
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*
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* \param first The beginning of the input sequence.
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* \param last The end of the input sequence.
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* \param result The beginning of the output sequence.
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* \return The end of the output sequence.
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*
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* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
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* and \c InputIterator's \c value_type is convertible to
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* \c OutputIterator's \c value_type.
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* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
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* and if \c x and \c y are objects of \c OutputIterator's
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* \c value_type, then <tt>x + y</tt> is defined. If \c T is
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* \c OutputIterator's \c value_type, then <tt>T(0)</tt> is
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* defined.
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*
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* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
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*
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* The following code snippet demonstrates how to use \p inclusive_scan
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*
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* \code
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* #include <thrust/scan.h>
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*
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* int data[6] = {1, 0, 2, 2, 1, 3};
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*
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* thrust::inclusive_scan(data, data + 6, data); // in-place scan
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*
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* // data is now {1, 1, 3, 5, 6, 9}
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* \endcode
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*
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* \see http://www.sgi.com/tech/stl/partial_sum.html
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*
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*/
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template<typename InputIterator,
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typename OutputIterator>
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OutputIterator inclusive_scan(InputIterator first,
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InputIterator last,
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OutputIterator result);
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|
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|
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/*! \p inclusive_scan computes an inclusive prefix sum operation. The
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|
* term 'inclusive' means that each result includes the corresponding
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|
* input operand in the partial sum. When the input and output sequences
|
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|
* are the same, the scan is performed in-place.
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||
|
*
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|
* \p inclusive_scan is similar to \c std::partial_sum in the STL. The primary
|
||
|
* difference between the two functions is that \c std::partial_sum guarantees
|
||
|
* a serial summation order, while \p inclusive_scan requires associativity of
|
||
|
* the binary operation to parallelize the prefix sum.
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|
*
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* The algorithm's execution is parallelized as determined by \p exec.
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*
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* \param exec The execution policy to use for parallelization.
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* \param first The beginning of the input sequence.
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* \param last The end of the input sequence.
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|
* \param result The beginning of the output sequence.
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* \param binary_op The associatve operator used to 'sum' values.
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* \return The end of the output sequence.
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*
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* \tparam DerivedPolicy The name of the derived execution policy.
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||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
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||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
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||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>
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||
|
* and \c OutputIterator's \c value_type is convertible to
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|
* both \c AssociativeOperator's \c first_argument_type and
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* \c second_argument_type.
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||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
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* and \c AssociativeOperator's \c result_type is
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* convertible to \c OutputIterator's \c value_type.
|
||
|
*
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|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
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||
|
* The following code snippet demonstrates how to use \p inclusive_scan to compute an in-place
|
||
|
* prefix sum using the \p thrust::host execution policy for parallelization:
|
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|
*
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||
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* \code
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* int data[10] = {-5, 0, 2, -3, 2, 4, 0, -1, 2, 8};
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*
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* thrust::maximum<int> binary_op;
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*
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* thrust::inclusive_scan(thrust::host, data, data + 10, data, binary_op); // in-place scan
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*
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* // data is now {-5, 0, 2, 2, 2, 4, 4, 4, 4, 8}
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* \endcode
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*
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* \see http://www.sgi.com/tech/stl/partial_sum.html
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|
*/
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||
|
template<typename DerivedPolicy,
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typename InputIterator,
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typename OutputIterator,
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typename AssociativeOperator>
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||
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OutputIterator inclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
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InputIterator first,
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InputIterator last,
|
||
|
OutputIterator result,
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||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \p inclusive_scan computes an inclusive prefix sum operation. The
|
||
|
* term 'inclusive' means that each result includes the corresponding
|
||
|
* input operand in the partial sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \p inclusive_scan is similar to \c std::partial_sum in the STL. The primary
|
||
|
* difference between the two functions is that \c std::partial_sum guarantees
|
||
|
* a serial summation order, while \p inclusive_scan requires associativity of
|
||
|
* the binary operation to parallelize the prefix sum.
|
||
|
*
|
||
|
* \param first The beginning of the input sequence.
|
||
|
* \param last The end of the input sequence.
|
||
|
* \param result The beginning of the output sequence.
|
||
|
* \param binary_op The associatve operator used to 'sum' values.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>
|
||
|
* and \c OutputIterator's \c value_type is convertible to
|
||
|
* both \c AssociativeOperator's \c first_argument_type and
|
||
|
* \c second_argument_type.
|
||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
|
||
|
* and \c AssociativeOperator's \c result_type is
|
||
|
* convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p inclusive_scan
|
||
|
*
|
||
|
* \code
|
||
|
* int data[10] = {-5, 0, 2, -3, 2, 4, 0, -1, 2, 8};
|
||
|
*
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||
|
* thrust::maximum<int> binary_op;
|
||
|
*
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||
|
* thrust::inclusive_scan(data, data + 10, data, binary_op); // in-place scan
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||
|
*
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* // data is now {-5, 0, 2, 2, 2, 4, 4, 4, 4, 8}
|
||
|
* \endcode
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||
|
*
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||
|
* \see http://www.sgi.com/tech/stl/partial_sum.html
|
||
|
*/
|
||
|
template<typename InputIterator,
|
||
|
typename OutputIterator,
|
||
|
typename AssociativeOperator>
|
||
|
OutputIterator inclusive_scan(InputIterator first,
|
||
|
InputIterator last,
|
||
|
OutputIterator result,
|
||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan computes an exclusive prefix sum operation. The
|
||
|
* term 'exclusive' means that each result does not include the
|
||
|
* corresponding input operand in the partial sum. More precisely,
|
||
|
* <tt>0</tt> is assigned to <tt>*result</tt> and the sum of
|
||
|
* <tt>0</tt> and <tt>*first</tt> is assigned to <tt>*(result + 1)</tt>,
|
||
|
* and so on. This version of \p exclusive_scan assumes plus as the
|
||
|
* associative operator and \c 0 as the initial value. When the input and
|
||
|
* output sequences are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first The beginning of the input sequence.
|
||
|
* \param last The end of the input sequence.
|
||
|
* \param result The beginning of the output sequence.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam DerivedPolicy The name of the derived execution policy.
|
||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's
|
||
|
* \c value_type, then <tt>x + y</tt> is defined. If \c T is
|
||
|
* \c OutputIterator's \c value_type, then <tt>T(0)</tt> is
|
||
|
* defined.
|
||
|
*
|
||
|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan to compute an in-place
|
||
|
* prefix sum using the \p thrust::host execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int data[6] = {1, 0, 2, 2, 1, 3};
|
||
|
*
|
||
|
* thrust::exclusive_scan(thrust::host, data, data + 6, data); // in-place scan
|
||
|
*
|
||
|
* // data is now {0, 1, 1, 3, 5, 6}
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see http://www.sgi.com/tech/stl/partial_sum.html
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator,
|
||
|
typename OutputIterator>
|
||
|
OutputIterator exclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator first,
|
||
|
InputIterator last,
|
||
|
OutputIterator result);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan computes an exclusive prefix sum operation. The
|
||
|
* term 'exclusive' means that each result does not include the
|
||
|
* corresponding input operand in the partial sum. More precisely,
|
||
|
* <tt>0</tt> is assigned to <tt>*result</tt> and the sum of
|
||
|
* <tt>0</tt> and <tt>*first</tt> is assigned to <tt>*(result + 1)</tt>,
|
||
|
* and so on. This version of \p exclusive_scan assumes plus as the
|
||
|
* associative operator and \c 0 as the initial value. When the input and
|
||
|
* output sequences are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \param first The beginning of the input sequence.
|
||
|
* \param last The end of the input sequence.
|
||
|
* \param result The beginning of the output sequence.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's
|
||
|
* \c value_type, then <tt>x + y</tt> is defined. If \c T is
|
||
|
* \c OutputIterator's \c value_type, then <tt>T(0)</tt> is
|
||
|
* defined.
|
||
|
*
|
||
|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
*
|
||
|
* int data[6] = {1, 0, 2, 2, 1, 3};
|
||
|
*
|
||
|
* thrust::exclusive_scan(data, data + 6, data); // in-place scan
|
||
|
*
|
||
|
* // data is now {0, 1, 1, 3, 5, 6}
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see http://www.sgi.com/tech/stl/partial_sum.html
|
||
|
*/
|
||
|
template<typename InputIterator,
|
||
|
typename OutputIterator>
|
||
|
OutputIterator exclusive_scan(InputIterator first,
|
||
|
InputIterator last,
|
||
|
OutputIterator result);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan computes an exclusive prefix sum operation. The
|
||
|
* term 'exclusive' means that each result does not include the
|
||
|
* corresponding input operand in the partial sum. More precisely,
|
||
|
* \p init is assigned to <tt>*result</tt> and the sum of \p init and
|
||
|
* <tt>*first</tt> is assigned to <tt>*(result + 1)</tt>, and so on.
|
||
|
* This version of \p exclusive_scan assumes plus as the associative
|
||
|
* operator but requires an initial value \p init. When the input and
|
||
|
* output sequences are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first The beginning of the input sequence.
|
||
|
* \param last The end of the input sequence.
|
||
|
* \param result The beginning of the output sequence.
|
||
|
* \param init The initial value.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam DerivedPolicy The name of the derived execution policy.
|
||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's
|
||
|
* \c value_type, then <tt>x + y</tt> is defined.
|
||
|
* \tparam T is convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan to compute an in-place
|
||
|
* prefix sum using the \p thrust::host execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
*
|
||
|
* int data[6] = {1, 0, 2, 2, 1, 3};
|
||
|
*
|
||
|
* thrust::exclusive_scan(thrust::host, data, data + 6, data, 4); // in-place scan
|
||
|
*
|
||
|
* // data is now {4, 5, 5, 7, 9, 10}
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see http://www.sgi.com/tech/stl/partial_sum.html
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator,
|
||
|
typename OutputIterator,
|
||
|
typename T>
|
||
|
OutputIterator exclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator first,
|
||
|
InputIterator last,
|
||
|
OutputIterator result,
|
||
|
T init);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan computes an exclusive prefix sum operation. The
|
||
|
* term 'exclusive' means that each result does not include the
|
||
|
* corresponding input operand in the partial sum. More precisely,
|
||
|
* \p init is assigned to <tt>*result</tt> and the sum of \p init and
|
||
|
* <tt>*first</tt> is assigned to <tt>*(result + 1)</tt>, and so on.
|
||
|
* This version of \p exclusive_scan assumes plus as the associative
|
||
|
* operator but requires an initial value \p init. When the input and
|
||
|
* output sequences are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \param first The beginning of the input sequence.
|
||
|
* \param last The end of the input sequence.
|
||
|
* \param result The beginning of the output sequence.
|
||
|
* \param init The initial value.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's
|
||
|
* \c value_type, then <tt>x + y</tt> is defined.
|
||
|
* \tparam T is convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
*
|
||
|
* int data[6] = {1, 0, 2, 2, 1, 3};
|
||
|
*
|
||
|
* thrust::exclusive_scan(data, data + 6, data, 4); // in-place scan
|
||
|
*
|
||
|
* // data is now {4, 5, 5, 7, 9, 10}
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see http://www.sgi.com/tech/stl/partial_sum.html
|
||
|
*/
|
||
|
template<typename InputIterator,
|
||
|
typename OutputIterator,
|
||
|
typename T>
|
||
|
OutputIterator exclusive_scan(InputIterator first,
|
||
|
InputIterator last,
|
||
|
OutputIterator result,
|
||
|
T init);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan computes an exclusive prefix sum operation. The
|
||
|
* term 'exclusive' means that each result does not include the
|
||
|
* corresponding input operand in the partial sum. More precisely,
|
||
|
* \p init is assigned to <tt>\*result</tt> and the value
|
||
|
* <tt>binary_op(init, \*first)</tt> is assigned to <tt>\*(result + 1)</tt>,
|
||
|
* and so on. This version of the function requires both and associative
|
||
|
* operator and an initial value \p init. When the input and output
|
||
|
* sequences are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first The beginning of the input sequence.
|
||
|
* \param last The end of the input sequence.
|
||
|
* \param result The beginning of the output sequence.
|
||
|
* \param init The initial value.
|
||
|
* \param binary_op The associatve operator used to 'sum' values.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam DerivedPolicy The name of the derived execution policy.
|
||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>
|
||
|
* and \c OutputIterator's \c value_type is convertible to
|
||
|
* both \c AssociativeOperator's \c first_argument_type and
|
||
|
* \c second_argument_type.
|
||
|
* \tparam T is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
|
||
|
* and \c AssociativeOperator's \c result_type is
|
||
|
* convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan to compute an in-place
|
||
|
* prefix sum using the \p thrust::host execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int data[10] = {-5, 0, 2, -3, 2, 4, 0, -1, 2, 8};
|
||
|
*
|
||
|
* thrust::maximum<int> binary_op;
|
||
|
*
|
||
|
* thrust::exclusive_scan(thrust::host, data, data + 10, data, 1, binary_op); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 1, 1, 2, 2, 2, 4, 4, 4, 4 }
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see http://www.sgi.com/tech/stl/partial_sum.html
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator,
|
||
|
typename OutputIterator,
|
||
|
typename T,
|
||
|
typename AssociativeOperator>
|
||
|
OutputIterator exclusive_scan(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator first,
|
||
|
InputIterator last,
|
||
|
OutputIterator result,
|
||
|
T init,
|
||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan computes an exclusive prefix sum operation. The
|
||
|
* term 'exclusive' means that each result does not include the
|
||
|
* corresponding input operand in the partial sum. More precisely,
|
||
|
* \p init is assigned to <tt>\*result</tt> and the value
|
||
|
* <tt>binary_op(init, \*first)</tt> is assigned to <tt>\*(result + 1)</tt>,
|
||
|
* and so on. This version of the function requires both and associative
|
||
|
* operator and an initial value \p init. When the input and output
|
||
|
* sequences are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \param first The beginning of the input sequence.
|
||
|
* \param last The end of the input sequence.
|
||
|
* \param result The beginning of the output sequence.
|
||
|
* \param init The initial value.
|
||
|
* \param binary_op The associatve operator used to 'sum' values.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator's \c value_type is convertible to
|
||
|
* \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>
|
||
|
* and \c OutputIterator's \c value_type is convertible to
|
||
|
* both \c AssociativeOperator's \c first_argument_type and
|
||
|
* \c second_argument_type.
|
||
|
* \tparam T is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
|
||
|
* and \c AssociativeOperator's \c result_type is
|
||
|
* convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first may equal \p result but the range <tt>[first, last)</tt> and the range <tt>[result, result + (last - first))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
*
|
||
|
* int data[10] = {-5, 0, 2, -3, 2, 4, 0, -1, 2, 8};
|
||
|
*
|
||
|
* thrust::maximum<int> binary_op;
|
||
|
*
|
||
|
* thrust::exclusive_scan(data, data + 10, data, 1, binary_op); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 1, 1, 2, 2, 2, 4, 4, 4, 4 }
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see http://www.sgi.com/tech/stl/partial_sum.html
|
||
|
*/
|
||
|
template<typename InputIterator,
|
||
|
typename OutputIterator,
|
||
|
typename T,
|
||
|
typename AssociativeOperator>
|
||
|
OutputIterator exclusive_scan(InputIterator first,
|
||
|
InputIterator last,
|
||
|
OutputIterator result,
|
||
|
T init,
|
||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \addtogroup segmentedprefixsums Segmented Prefix Sums
|
||
|
* \ingroup prefixsums
|
||
|
* \{
|
||
|
*/
|
||
|
|
||
|
|
||
|
/*! \p inclusive_scan_by_key computes an inclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'inclusive' means that each result includes
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate inclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key assumes \c equal_to as the binary
|
||
|
* predicate used to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1)</tt>
|
||
|
* belong to the same segment if <tt>*i == *(i+1)</tt>, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key assumes \c plus as the associative
|
||
|
* operator used to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam DerivedPolicy The name of the derived execution policy.
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p inclusive_scan_by_key using the \p thrust::host
|
||
|
* execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int data[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
*
|
||
|
* thrust::inclusive_scan_by_key(thrust::host, keys, keys + 10, vals, vals); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 2, 3, 1, 2, 1, 1, 2, 3, 4};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see inclusive_scan
|
||
|
* \see exclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator>
|
||
|
OutputIterator inclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result);
|
||
|
|
||
|
|
||
|
/*! \p inclusive_scan_by_key computes an inclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'inclusive' means that each result includes
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate inclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key assumes \c equal_to as the binary
|
||
|
* predicate used to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1)</tt>
|
||
|
* belong to the same segment if <tt>*i == *(i+1)</tt>, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key assumes \c plus as the associative
|
||
|
* operator used to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p inclusive_scan_by_key
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
*
|
||
|
* int data[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
*
|
||
|
* thrust::inclusive_scan_by_key(keys, keys + 10, vals, vals); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 2, 3, 1, 2, 1, 1, 2, 3, 4};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see inclusive_scan
|
||
|
* \see exclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator>
|
||
|
OutputIterator inclusive_scan_by_key(InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result);
|
||
|
|
||
|
|
||
|
/*! \p inclusive_scan_by_key computes an inclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'inclusive' means that each result includes
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate inclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key uses the binary predicate
|
||
|
* \c pred to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1)</tt>
|
||
|
* belong to the same segment if <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key assumes \c plus as the associative
|
||
|
* operator used to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam DerivedPolicy The name of the derived execution policy.
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
* \tparam BinaryPredicate is a model of <a href="http://www.sgi.com/tech/stl/BinaryPredicate.html">Binary Predicate</a>.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p inclusive_scan_by_key using the \p thrust::host
|
||
|
* execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int data[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
*
|
||
|
* thrust::inclusive_scan_by_key(thrust::host, keys, keys + 10, vals, vals, binary_pred); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 2, 3, 1, 2, 1, 1, 2, 3, 4};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see inclusive_scan
|
||
|
* \see exclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename BinaryPredicate>
|
||
|
OutputIterator inclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
BinaryPredicate binary_pred);
|
||
|
|
||
|
|
||
|
/*! \p inclusive_scan_by_key computes an inclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'inclusive' means that each result includes
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate inclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key uses the binary predicate
|
||
|
* \c pred to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1)</tt>
|
||
|
* belong to the same segment if <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key assumes \c plus as the associative
|
||
|
* operator used to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
* \tparam BinaryPredicate is a model of <a href="http://www.sgi.com/tech/stl/BinaryPredicate.html">Binary Predicate</a>.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p inclusive_scan_by_key
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
*
|
||
|
* int data[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
*
|
||
|
* thrust::inclusive_scan_by_key(keys, keys + 10, vals, vals, binary_pred); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 2, 3, 1, 2, 1, 1, 2, 3, 4};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see inclusive_scan
|
||
|
* \see exclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename BinaryPredicate>
|
||
|
OutputIterator inclusive_scan_by_key(InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
BinaryPredicate binary_pred);
|
||
|
|
||
|
|
||
|
/*! \p inclusive_scan_by_key computes an inclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'inclusive' means that each result includes
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate inclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key uses the binary predicate
|
||
|
* \c pred to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1)</tt>
|
||
|
* belong to the same segment if <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key uses the associative operator
|
||
|
* \c binary_op to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \param binary_op The associatve operator used to 'sum' values.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam DerivedPolicy The name of the derived execution policy.
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
* \tparam BinaryPredicate is a model of <a href="http://www.sgi.com/tech/stl/BinaryPredicate.html">Binary Predicate</a>.
|
||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
|
||
|
* and \c AssociativeOperator's \c result_type is
|
||
|
* convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p inclusive_scan_by_key using the \p thrust::host
|
||
|
* execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int data[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
* thrust::plus<int> binary_op;
|
||
|
*
|
||
|
* thrust::inclusive_scan_by_key(thrust::host, keys, keys + 10, vals, vals, binary_pred, binary_op); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 2, 3, 1, 2, 1, 1, 2, 3, 4};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see inclusive_scan
|
||
|
* \see exclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename BinaryPredicate,
|
||
|
typename AssociativeOperator>
|
||
|
OutputIterator inclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
BinaryPredicate binary_pred,
|
||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \p inclusive_scan_by_key computes an inclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'inclusive' means that each result includes
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate inclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key uses the binary predicate
|
||
|
* \c pred to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1)</tt>
|
||
|
* belong to the same segment if <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* This version of \p inclusive_scan_by_key uses the associative operator
|
||
|
* \c binary_op to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \param binary_op The associatve operator used to 'sum' values.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
* \tparam BinaryPredicate is a model of <a href="http://www.sgi.com/tech/stl/BinaryPredicate.html">Binary Predicate</a>.
|
||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
|
||
|
* and \c AssociativeOperator's \c result_type is
|
||
|
* convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p inclusive_scan_by_key
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
*
|
||
|
* int data[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
* thrust::plus<int> binary_op;
|
||
|
*
|
||
|
* thrust::inclusive_scan_by_key(keys, keys + 10, vals, vals, binary_pred, binary_op); // in-place scan
|
||
|
*
|
||
|
* // data is now {1, 2, 3, 1, 2, 1, 1, 2, 3, 4};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see inclusive_scan
|
||
|
* \see exclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename BinaryPredicate,
|
||
|
typename AssociativeOperator>
|
||
|
OutputIterator inclusive_scan_by_key(InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
BinaryPredicate binary_pred,
|
||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive segmented prefix
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c 0 to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key assumes \c plus as the associative
|
||
|
* operator used to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key assumes \c equal_to as the binary
|
||
|
* predicate used to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1</tt>
|
||
|
* belong to the same segment if <tt>*i == *(i+1)</tt>, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* Refer to the most general form of \p exclusive_scan_by_key for additional details.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key using the
|
||
|
* \p thrust::host execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(thrust::host, key, key + 10, vals, vals); // in-place scan
|
||
|
*
|
||
|
* // vals is now {0, 1, 2, 0, 1, 0, 0, 1, 2, 3};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
*
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator>
|
||
|
OutputIterator exclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive segmented prefix
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c 0 to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key assumes \c plus as the associative
|
||
|
* operator used to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key assumes \c equal_to as the binary
|
||
|
* predicate used to compare adjacent keys. Specifically, consecutive iterators
|
||
|
* <tt>i</tt> and <tt>i+1</tt> in the range <tt>[first1, last1</tt>
|
||
|
* belong to the same segment if <tt>*i == *(i+1)</tt>, and belong to
|
||
|
* different segments otherwise.
|
||
|
*
|
||
|
* Refer to the most general form of \p exclusive_scan_by_key for additional details.
|
||
|
*
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key.
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(key, key + 10, vals, vals); // in-place scan
|
||
|
*
|
||
|
* // vals is now {0, 1, 2, 0, 1, 0, 0, 1, 2, 3};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
*
|
||
|
*/
|
||
|
template<typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator>
|
||
|
OutputIterator exclusive_scan_by_key(InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'exclusive' means that each result does not include
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate exclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c init to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param init The initial of the exclusive sum value.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key using the \p
|
||
|
* thrust::host execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* int init = 5;
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(thrust::host, key, key + 10, vals, vals, init); // in-place scan
|
||
|
*
|
||
|
* // vals is now {5, 6, 7, 5, 6, 5, 5, 6, 7, 8};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
* \see inclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename T>
|
||
|
OutputIterator exclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
T init);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'exclusive' means that each result does not include
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate exclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c init to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param init The initial of the exclusive sum value.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* int init = 5;
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(key, key + 10, vals, vals, init); // in-place scan
|
||
|
*
|
||
|
* // vals is now {5, 6, 7, 5, 6, 5, 5, 6, 7, 8};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
* \see inclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename T>
|
||
|
OutputIterator exclusive_scan_by_key(InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
T init);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'exclusive' means that each result does not include
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate exclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c init to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the binary predicate \c binary_pred
|
||
|
* to compare adjacent keys. Specifically, consecutive iterators <tt>i</tt> and
|
||
|
* <tt>i+1</tt> in the range <tt>[first1, last1)</tt> belong to the same segment if
|
||
|
* <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to different segments otherwise.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param init The initial of the exclusive sum value.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key using the
|
||
|
* \p thrust::host execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* int init = 5;
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(thrust::host, key, key + 10, vals, vals, init, binary_pred); // in-place scan
|
||
|
*
|
||
|
* // vals is now {5, 6, 7, 5, 6, 5, 5, 6, 7, 8};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
* \see inclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename T,
|
||
|
typename BinaryPredicate>
|
||
|
OutputIterator exclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
T init,
|
||
|
BinaryPredicate binary_pred);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'exclusive' means that each result does not include
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate exclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c init to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the binary predicate \c binary_pred
|
||
|
* to compare adjacent keys. Specifically, consecutive iterators <tt>i</tt> and
|
||
|
* <tt>i+1</tt> in the range <tt>[first1, last1)</tt> belong to the same segment if
|
||
|
* <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to different segments otherwise.
|
||
|
*
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param init The initial of the exclusive sum value.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* int init = 5;
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(key, key + 10, vals, vals, init, binary_pred); // in-place scan
|
||
|
*
|
||
|
* // vals is now {5, 6, 7, 5, 6, 5, 5, 6, 7, 8};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
* \see inclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename T,
|
||
|
typename BinaryPredicate>
|
||
|
OutputIterator exclusive_scan_by_key(InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
T init,
|
||
|
BinaryPredicate binary_pred);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'exclusive' means that each result does not include
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate exclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c init to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the binary predicate \c binary_pred
|
||
|
* to compare adjacent keys. Specifically, consecutive iterators <tt>i</tt> and
|
||
|
* <tt>i+1</tt> in the range <tt>[first1, last1)</tt> belong to the same segment if
|
||
|
* <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to different segments otherwise.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the associative operator
|
||
|
* \c binary_op to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* The algorithm's execution is parallelized as determined by \p exec.
|
||
|
*
|
||
|
* \param exec The execution policy to use for parallelization.
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param init The initial of the exclusive sum value.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \param binary_op The associatve operator used to 'sum' values.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam DerivedPolicy The name of the derived execution policy.
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
* \tparam T is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam BinaryPredicate is a model of <a href="http://www.sgi.com/tech/stl/BinaryPredicate.html">Binary Predicate</a>.
|
||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
|
||
|
* and \c AssociativeOperator's \c result_type is convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key using the
|
||
|
* \p thrust::host execution policy for parallelization:
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
* #include <thrust/execution_policy.h>
|
||
|
* ...
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* int init = 5;
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
* thrust::plus<int> binary_op;
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(thrust::host, key, key + 10, vals, vals, init, binary_pred, binary_op); // in-place scan
|
||
|
*
|
||
|
* // vals is now {5, 6, 7, 5, 6, 5, 5, 6, 7, 8};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
* \see inclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename DerivedPolicy,
|
||
|
typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename T,
|
||
|
typename BinaryPredicate,
|
||
|
typename AssociativeOperator>
|
||
|
OutputIterator exclusive_scan_by_key(const thrust::detail::execution_policy_base<DerivedPolicy> &exec,
|
||
|
InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
T init,
|
||
|
BinaryPredicate binary_pred,
|
||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \p exclusive_scan_by_key computes an exclusive key-value or 'segmented' prefix
|
||
|
* sum operation. The term 'exclusive' means that each result does not include
|
||
|
* the corresponding input operand in the partial sum. The term 'segmented'
|
||
|
* means that the partial sums are broken into distinct segments. In other
|
||
|
* words, within each segment a separate exclusive scan operation is computed.
|
||
|
* Refer to the code sample below for example usage.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the value \c init to
|
||
|
* initialize the exclusive scan operation.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the binary predicate \c binary_pred
|
||
|
* to compare adjacent keys. Specifically, consecutive iterators <tt>i</tt> and
|
||
|
* <tt>i+1</tt> in the range <tt>[first1, last1)</tt> belong to the same segment if
|
||
|
* <tt>binary_pred(*i, *(i+1))</tt> is true, and belong to different segments otherwise.
|
||
|
*
|
||
|
* This version of \p exclusive_scan_by_key uses the associative operator
|
||
|
* \c binary_op to perform the prefix sum. When the input and output sequences
|
||
|
* are the same, the scan is performed in-place.
|
||
|
*
|
||
|
* \param first1 The beginning of the key sequence.
|
||
|
* \param last1 The end of the key sequence.
|
||
|
* \param first2 The beginning of the input value sequence.
|
||
|
* \param result The beginning of the output value sequence.
|
||
|
* \param init The initial of the exclusive sum value.
|
||
|
* \param binary_pred The binary predicate used to determine equality of keys.
|
||
|
* \param binary_op The associatve operator used to 'sum' values.
|
||
|
* \return The end of the output sequence.
|
||
|
*
|
||
|
* \tparam InputIterator1 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* \tparam InputIterator2 is a model of <a href="http://www.sgi.com/tech/stl/InputIterator.html">Input Iterator</a>
|
||
|
* and \c InputIterator2's \c value_type is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam OutputIterator is a model of <a href="http://www.sgi.com/tech/stl/OutputIterator.html">Output Iterator</a>,
|
||
|
* and if \c x and \c y are objects of \c OutputIterator's \c value_type, then
|
||
|
* <tt>binary_op(x,y)</tt> is defined.
|
||
|
* \tparam T is convertible to \c OutputIterator's \c value_type.
|
||
|
* \tparam BinaryPredicate is a model of <a href="http://www.sgi.com/tech/stl/BinaryPredicate.html">Binary Predicate</a>.
|
||
|
* \tparam AssociativeOperator is a model of <a href="http://www.sgi.com/tech/stl/BinaryFunction.html">Binary Function</a>
|
||
|
* and \c AssociativeOperator's \c result_type is convertible to \c OutputIterator's \c value_type.
|
||
|
*
|
||
|
* \pre \p first1 may equal \p result but the range <tt>[first1, last1)</tt> and the range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
* \pre \p first2 may equal \p result but the range <tt>[first2, first2 + (last1 - first1)</tt> and range <tt>[result, result + (last1 - first1))</tt> shall not overlap otherwise.
|
||
|
*
|
||
|
* The following code snippet demonstrates how to use \p exclusive_scan_by_key
|
||
|
*
|
||
|
* \code
|
||
|
* #include <thrust/scan.h>
|
||
|
* #include <thrust/functional.h>
|
||
|
*
|
||
|
* int keys[10] = {0, 0, 0, 1, 1, 2, 3, 3, 3, 3};
|
||
|
* int vals[10] = {1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
|
||
|
*
|
||
|
* int init = 5;
|
||
|
*
|
||
|
* thrust::equal_to<int> binary_pred;
|
||
|
* thrust::plus<int> binary_op;
|
||
|
*
|
||
|
* thrust::exclusive_scan_by_key(key, key + 10, vals, vals, init, binary_pred, binary_op); // in-place scan
|
||
|
*
|
||
|
* // vals is now {5, 6, 7, 5, 6, 5, 5, 6, 7, 8};
|
||
|
* \endcode
|
||
|
*
|
||
|
* \see exclusive_scan
|
||
|
* \see inclusive_scan_by_key
|
||
|
*
|
||
|
*/
|
||
|
template<typename InputIterator1,
|
||
|
typename InputIterator2,
|
||
|
typename OutputIterator,
|
||
|
typename T,
|
||
|
typename BinaryPredicate,
|
||
|
typename AssociativeOperator>
|
||
|
OutputIterator exclusive_scan_by_key(InputIterator1 first1,
|
||
|
InputIterator1 last1,
|
||
|
InputIterator2 first2,
|
||
|
OutputIterator result,
|
||
|
T init,
|
||
|
BinaryPredicate binary_pred,
|
||
|
AssociativeOperator binary_op);
|
||
|
|
||
|
|
||
|
/*! \} // end segmentedprefixsums
|
||
|
*/
|
||
|
|
||
|
|
||
|
/*! \} // end prefix sums
|
||
|
*/
|
||
|
|
||
|
|
||
|
} // end namespace thrust
|
||
|
|
||
|
#include <thrust/detail/scan.inl>
|
||
|
|