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Sat, May 25, 04:17

Allocate.hpp
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/**
Implementation of Allocate.h
\file Allocate.hpp
\copyright Copyright 2017. Tom de Geus. All rights reserved.
\license This project is released under the GNU Public License (GPLv3).
*/
#ifndef GOOSEFEM_ALLOCATE_HPP
#define GOOSEFEM_ALLOCATE_HPP
#include "Allocate.h"
namespace GooseFEM {
namespace detail {
template <class T, class S>
inline bool has_shape_begin(const T& t, const S& s)
{
return s.dimension() >= t.dimension() &&
std::equal(t.shape().cbegin(), t.shape().cend(), s.shape().begin());
}
} // namespace detail
template <size_t dim, size_t rank, class T>
inline void asTensor(const xt::xtensor<T, dim>& arg, xt::xtensor<T, dim + rank>& ret)
{
using strides_type = typename xt::xtensor<T, dim>::strides_type::value_type;
GOOSEFEM_ASSERT(detail::has_shape_begin(arg, ret));
std::array<strides_type, dim + rank> ret_strides;
std::copy(arg.strides().begin(), arg.strides().end(), ret_strides.begin());
std::fill(ret_strides.begin() + dim, ret_strides.end(), 0);
ret = xt::strided_view(arg, ret.shape(), std::move(ret_strides), 0ul, xt::layout_type::dynamic);
}
template <size_t dim, size_t rank, class T>
inline xt::xtensor<T, dim + rank> AsTensor(
const xt::xtensor<T, dim>& arg,
const std::array<size_t, rank>& shape)
{
std::array<size_t, dim + rank> ret_shape;
std::copy(arg.shape().begin(), arg.shape().end(), ret_shape.begin());
std::copy(shape.begin(), shape.end(), ret_shape.begin() + dim);
xt::xtensor<T, dim + rank> ret = xt::empty<T>(ret_shape);
GooseFEM::asTensor<dim, rank>(arg, ret);
return ret;
}
template <size_t dim, size_t rank, class T>
inline xt::xtensor<T, dim + rank> AsTensor(const xt::xtensor<T, dim>& arg, size_t n)
{
std::array<size_t, dim + rank> ret_shape;
std::copy(arg.shape().begin(), arg.shape().end(), ret_shape.begin());
std::fill(ret_shape.begin() + dim, ret_shape.end(), n);
xt::xtensor<T, dim + rank> ret = xt::empty<T>(ret_shape);
GooseFEM::asTensor<dim, rank>(arg, ret);
return ret;
}
template <class T>
inline xt::xarray<typename T::value_type> AsTensor(size_t rank, const T& arg, const std::vector<size_t>& shape)
{
using value_type = typename T::value_type;
GOOSEFEM_ASSERT(rank == shape.size());
size_t dim = arg.dimension();
std::vector<size_t> ret_shape(dim + rank);
xt::dynamic_shape<ptrdiff_t> ret_strides(dim + rank);
std::copy(arg.shape().begin(), arg.shape().end(), ret_shape.begin());
std::copy(arg.strides().begin(), arg.strides().end(), ret_strides.begin());
std::copy(shape.begin(), shape.end(), ret_shape.begin() + dim);
std::fill(ret_strides.begin() + dim, ret_strides.end(), 0);
xt::xarray<value_type> ret = xt::empty<value_type>(ret_shape);
ret = xt::strided_view(arg, ret.shape(), std::move(ret_strides), 0ul, xt::layout_type::dynamic);
return ret;
}
template <class T>
inline xt::xarray<typename T::value_type> AsTensor(size_t rank, const T& arg, size_t n)
{
using value_type = typename T::value_type;
size_t dim = arg.dimension();
using strides_type = typename T::strides_type::value_type;
std::vector<size_t> ret_shape(dim + rank);
xt::svector<strides_type> ret_strides(dim + rank);
std::copy(arg.shape().begin(), arg.shape().end(), ret_shape.begin());
std::copy(arg.strides().begin(), arg.strides().end(), ret_strides.begin());
std::fill(ret_shape.begin() + dim, ret_shape.end(), n);
std::fill(ret_strides.begin() + dim, ret_strides.end(), 0);
xt::xarray<value_type> ret = xt::empty<value_type>(ret_shape);
ret = xt::strided_view(arg, ret.shape(), std::move(ret_strides), 0ul, xt::layout_type::dynamic);
return ret;
}
template <class T>
inline xt::xtensor<T, 2> as3d(const xt::xtensor<T, 2>& data)
{
GOOSEFEM_ASSERT(data.shape(1) > 0 && data.shape(1) < 4)
if (data.shape(1) == 3ul) {
return data;
}
xt::xtensor<T, 2> ret = xt::zeros<T>(std::array<size_t, 2>{data.shape(0), 3ul});
if (data.shape(1) == 2ul) {
xt::view(ret, xt::all(), xt::keep(0, 1)) = data;
}
if (data.shape(1) == 1ul) {
xt::view(ret, xt::all(), xt::keep(0)) = data;
}
return ret;
}
} // namespace GooseFEM
#endif

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