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include
shark
LinAlg
BLAS
kernels
vector_fold.hpp
Go to the documentation of this file.
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/*!
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* \brief Algorithm to reduce a vector to a scalar value
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*
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* \author O. Krause
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* \date 2016
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*
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*
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* \par Copyright 1995-2015 Shark Development Team
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*
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* <BR><HR>
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* This file is part of Shark.
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* <http://image.diku.dk/shark/>
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*
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* Shark is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Lesser General Public License as published
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* by the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* Shark is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public License
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* along with Shark. If not, see <http://www.gnu.org/licenses/>.
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*
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*/
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#ifndef REMORA_KERNELS_VECTOR_FOLD_HPP
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#define REMORA_KERNELS_VECTOR_FOLD_HPP
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#include "../detail/traits.hpp"
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#include "
default/vector_fold.hpp
"
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#ifdef REMORA_USE_GPU
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#include "
gpu/vector_fold.hpp
"
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#endif
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namespace
remora
{
namespace
kernels {
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///\brief Appliuees F in any order to the elements of v and a given initial value.
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///
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/// result is the same as value = f(v_1,f(v_2,...f(v_n,value))) assuming f is commutative
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/// and associative.
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template
<
class
F,
class
V,
class
Device>
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void
vector_fold(vector_expression<V, Device>
const
& v,
typename
F::result_type& value) {
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typedef
typename
V::evaluation_category::tag TagV;
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bindings::vector_fold<F>(v(), value, TagV());
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}
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}}
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#endif