/usr/include/trilinos/KokkosKernels_VectorUtils.hpp is in libtrilinos-kokkos-kernels-dev 12.12.1-5.
This file is owned by root:root, with mode 0o644.
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// KokkosKernels 0.9: Linear Algebra and Graph Kernels
// Copyright 2017 Sandia Corporation
//
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#include "Kokkos_Core.hpp"
#include "Kokkos_Atomic.hpp"
#include "impl/Kokkos_Timer.hpp"
#ifndef _KOKKOSKERNELS_VECTORUTILS_HPP
#define _KOKKOSKERNELS_VECTORUTILS_HPP
namespace KokkosKernels{
namespace Experimental{
namespace Util{
template <typename out_array_t, typename in_array_t, typename scalar_1, typename scalar_2>
struct A_times_X_plus_B{
out_array_t out_view;
in_array_t in_view;
const scalar_1 a;
const scalar_2 b;
A_times_X_plus_B(
out_array_t out_view_,
in_array_t in_view_,
scalar_1 a_,
scalar_2 b_): out_view(out_view_),in_view(in_view_), a(a_), b(b_){}
KOKKOS_INLINE_FUNCTION
void operator()(const size_t ii) const {
out_view(ii) = in_view(ii) * a + b;
}
};
template <typename out_array_type, typename in_array_type>
struct ModularView{
typedef typename in_array_type::value_type vt;
out_array_type out_view;
in_array_type in_view;
const int modular_constant;
ModularView(out_array_type out_view_,in_array_type in_view_,int mod_factor_): out_view(out_view_),in_view(in_view_), modular_constant(mod_factor_){}
KOKKOS_INLINE_FUNCTION
void operator()(const size_t ii) const {
out_view(ii) = in_view(ii) % modular_constant;
}
};
template <typename from_vector, typename to_vector>
struct CopyVectorFunctor{
from_vector from;
to_vector to;
CopyVectorFunctor(from_vector &from_, to_vector to_): from(from_), to(to_){}
KOKKOS_INLINE_FUNCTION
void operator()(const size_t &i) const {
to[i] = from[i];
}
};
/**
* \brief given a input view in_arr, sets the corresponding index of out_arr by
* out_arr(ii) = in_arr(ii) * a + b;
* \param num_elements: number of elements in input and output arrays.
* \param out_arr: output arr, can be same as input array.
* \param in_arr: input arr.
* \param a: scalar for multiplication
* \param b: scalar for addition
*/
template <typename out_array_t, typename in_array_t, typename scalar_1, typename scalar_2, typename MyExecSpace>
inline void kk_a_times_x_plus_b(
typename in_array_t::value_type num_elements,
out_array_t out_arr, in_array_t in_arr,
scalar_1 a, scalar_2 b){
typedef Kokkos::RangePolicy<MyExecSpace> my_exec_space;
Kokkos::parallel_for( my_exec_space(0, num_elements),
A_times_X_plus_B<out_array_t, in_array_t, scalar_1, scalar_2>(out_arr, in_arr, a, b));
}
/**
* \brief calculates the modular of each entry input array and writes it to corresponding vector.
* \param num_elements: number of elements in input and output arrays.
* \param out_arr: output arr, can be same as input array.
* \param in_arr: input arr.
* \param mod_factor_: for what value the modular will be applied.
*/
template <typename out_array_type, typename in_array_type, typename MyExecSpace>
inline void kk_modular_view(typename in_array_type::value_type num_elements, out_array_type out_arr, in_array_type in_arr, int mod_factor_){
typedef Kokkos::RangePolicy<MyExecSpace> my_exec_space;
Kokkos::parallel_for( my_exec_space(0, num_elements), ModularView<out_array_type, in_array_type>(out_arr, in_arr, mod_factor_));
}
template <typename from_vector, typename to_vector, typename MyExecSpace>
void kk_copy_vector(
size_t num_elements,
from_vector from, to_vector to){
typedef Kokkos::RangePolicy<MyExecSpace> my_exec_space;
Kokkos::parallel_for( my_exec_space(0,num_elements), CopyVectorFunctor<from_vector, to_vector>(from, to));
}
}
}
}
#endif
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