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test_ParallelChecker_read.cpp
PolynomialReconstruction.cpp 20.27 KiB
#include <scheme/PolynomialReconstruction.hpp>
#include <scheme/DiscreteFunctionUtils.hpp>
#include <scheme/DiscreteFunctionVariant.hpp>
class PolynomialReconstruction::MutableDiscreteFunctionDPkVariant
{
public:
using Variant = std::variant<DiscreteFunctionDPk<1, double>,
DiscreteFunctionDPk<1, TinyVector<1>>,
DiscreteFunctionDPk<1, TinyVector<2>>,
DiscreteFunctionDPk<1, TinyVector<3>>,
DiscreteFunctionDPk<1, TinyMatrix<1>>,
DiscreteFunctionDPk<1, TinyMatrix<2>>,
DiscreteFunctionDPk<1, TinyMatrix<3>>,
DiscreteFunctionDPk<2, double>,
DiscreteFunctionDPk<2, TinyVector<1>>,
DiscreteFunctionDPk<2, TinyVector<2>>,
DiscreteFunctionDPk<2, TinyVector<3>>,
DiscreteFunctionDPk<2, TinyMatrix<1>>,
DiscreteFunctionDPk<2, TinyMatrix<2>>,
DiscreteFunctionDPk<2, TinyMatrix<3>>,
DiscreteFunctionDPk<3, double>,
DiscreteFunctionDPk<3, TinyVector<1>>,
DiscreteFunctionDPk<3, TinyVector<2>>,
DiscreteFunctionDPk<3, TinyVector<3>>,
DiscreteFunctionDPk<3, TinyMatrix<1>>,
DiscreteFunctionDPk<3, TinyMatrix<2>>,
DiscreteFunctionDPk<3, TinyMatrix<3>>,
DiscreteFunctionDPkVector<1, double>,
DiscreteFunctionDPkVector<2, double>,
DiscreteFunctionDPkVector<3, double>>;
private:
Variant m_mutable_discrete_function_dpk;
public:
PUGS_INLINE
const Variant&
mutableDiscreteFunctionDPk() const
{
return m_mutable_discrete_function_dpk;
}
template <typename DiscreteFunctionDPkT>
PUGS_INLINE auto&&
get() const
{
static_assert(is_discrete_function_dpk_v<DiscreteFunctionDPkT>, "invalid template argument");
#ifndef NDEBUG
if (not std::holds_alternative<DiscreteFunctionDPkT>(this->m_mutable_discrete_function_dpk)) {
std::ostringstream error_msg;
error_msg << "invalid discrete function type\n";
error_msg << "- required " << rang::fgB::red << demangle<DiscreteFunctionDPkT>() << rang::fg::reset << '\n';
error_msg << "- contains " << rang::fgB::yellow
<< std::visit([](auto&& f) -> std::string { return demangle<decltype(f)>(); },
this->m_mutable_discrete_function_dpk)
<< rang::fg::reset;
throw NormalError(error_msg.str());
}
#endif // NDEBUG
return std::get<DiscreteFunctionDPkT>(this->mutableDiscreteFunctionDPk());
}
template <size_t Dimension, typename DataType> MutableDiscreteFunctionDPkVariant(const DiscreteFunctionDPk<Dimension, DataType>& discrete_function_dpk)
: m_mutable_discrete_function_dpk{discrete_function_dpk}
{
static_assert(std::is_same_v<DataType, double> or //
std::is_same_v<DataType, TinyVector<1, double>> or //
std::is_same_v<DataType, TinyVector<2, double>> or //
std::is_same_v<DataType, TinyVector<3, double>> or //
std::is_same_v<DataType, TinyMatrix<1, 1, double>> or //
std::is_same_v<DataType, TinyMatrix<2, 2, double>> or //
std::is_same_v<DataType, TinyMatrix<3, 3, double>>,
"DiscreteFunctionDPk with this DataType is not allowed in variant");
}
template <size_t Dimension, typename DataType>
MutableDiscreteFunctionDPkVariant(const DiscreteFunctionDPkVector<Dimension, DataType>& discrete_function_dpk)
: m_mutable_discrete_function_dpk{discrete_function_dpk}
{
static_assert(std::is_same_v<DataType, double>,
"DiscreteFunctionDPkVector with this DataType is not allowed in variant");
}
MutableDiscreteFunctionDPkVariant& operator=(MutableDiscreteFunctionDPkVariant&&) = default;
MutableDiscreteFunctionDPkVariant& operator=(const MutableDiscreteFunctionDPkVariant&) = default;
MutableDiscreteFunctionDPkVariant(const MutableDiscreteFunctionDPkVariant&) = default;
MutableDiscreteFunctionDPkVariant(MutableDiscreteFunctionDPkVariant&&) = default;
MutableDiscreteFunctionDPkVariant() = delete;
~MutableDiscreteFunctionDPkVariant() = default;
};
template <MeshConcept MeshType>
[[nodiscard]] std::vector<std::shared_ptr<const DiscreteFunctionDPkVariant>>
PolynomialReconstruction::_build(
const size_t degree,
const bool preconditioning,
const bool row_weighting,
const std::shared_ptr<const MeshType>& p_mesh,
const std::vector<std::shared_ptr<const DiscreteFunctionVariant>>& discrete_function_variant_list) const
{
if (degree != 1) {
throw NotImplementedError("only degree 1 is available");
}
const MeshType& mesh = *p_mesh;
using Rd = TinyVector<MeshType::Dimension>;
const size_t number_of_columns = [&]() {
size_t n = 0;
for (auto discrete_function_variant_p : discrete_function_variant_list) {
n += std::visit(
[](auto&& discrete_function) -> size_t {
using DiscreteFunctionT = std::decay_t<decltype(discrete_function)>;
if constexpr (is_discrete_function_P0_v<DiscreteFunctionT>) {
using data_type = std::decay_t<typename DiscreteFunctionT::data_type>;
if constexpr (std::is_same_v<data_type, double>) {
return 1;
} else if constexpr (is_tiny_vector_v<data_type> or is_tiny_matrix_v<data_type>) {
return data_type::Dimension;
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected data type " + demangle<data_type>());
// LCOV_EXCL_STOP
}
} else if constexpr (is_discrete_function_P0_vector_v<DiscreteFunctionT>) {
return discrete_function.size();
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected discrete function type"); // LCOV_EXCL_STOP
}
},
discrete_function_variant_p->discreteFunction());
}
return n;
}();
const size_t basis_dimension =
DiscreteFunctionDPk<MeshType::Dimension, double>::BasisViewType::dimensionFromDegree(degree);
const Stencil& stencil = StencilManager::instance().getStencil(mesh.connectivity());
auto xj = MeshDataManager::instance().getMeshData(mesh).xj();
auto cell_is_owned = mesh.connectivity().cellIsOwned();
const size_t max_stencil_size = [&]() {
size_t max_size = 0;
for (CellId cell_id = 0; cell_id < mesh.numberOfCells(); ++cell_id) {
auto stencil_cell_list = stencil[cell_id];
if (cell_is_owned[cell_id] and stencil_cell_list.size() > max_size) {
max_size = stencil_cell_list.size();
}
}
return max_size;
}();
Kokkos::Experimental::UniqueToken<Kokkos::DefaultExecutionSpace::execution_space,
Kokkos::Experimental::UniqueTokenScope::Global>
tokens;
std::vector<MutableDiscreteFunctionDPkVariant> mutable_discrete_function_dpk_variant_list;
for (size_t i_discrete_function_variant = 0; i_discrete_function_variant < discrete_function_variant_list.size();
++i_discrete_function_variant) {
auto discrete_function_variant = discrete_function_variant_list[i_discrete_function_variant];
std::visit(
[&](auto&& discrete_function) {
using DiscreteFunctionT = std::decay_t<decltype(discrete_function)>;
if constexpr (is_discrete_function_P0_v<DiscreteFunctionT>) {
using DataType = std::remove_const_t<std::decay_t<typename DiscreteFunctionT::data_type>>;
mutable_discrete_function_dpk_variant_list.push_back(
DiscreteFunctionDPk<MeshType::Dimension, DataType>(p_mesh, degree));
} else if constexpr (is_discrete_function_P0_vector_v<DiscreteFunctionT>) {
using DataType = std::remove_const_t<std::decay_t<typename DiscreteFunctionT::data_type>>;
mutable_discrete_function_dpk_variant_list.push_back(
DiscreteFunctionDPkVector<MeshType::Dimension, DataType>(p_mesh, degree, discrete_function.size()));
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected discrete function type");
// LCOV_EXCL_STOP
}
},
discrete_function_variant->discreteFunction());
}
SmallArray<SmallMatrix<double>> A_pool(Kokkos::DefaultExecutionSpace::concurrency());
SmallArray<SmallMatrix<double>> B_pool(Kokkos::DefaultExecutionSpace::concurrency());
SmallArray<SmallArray<double>> G_pool(Kokkos::DefaultExecutionSpace::concurrency());
SmallArray<SmallMatrix<double>> X_pool(Kokkos::DefaultExecutionSpace::concurrency());
for (size_t i = 0; i < A_pool.size(); ++i) {
A_pool[i] = SmallMatrix<double>(max_stencil_size, basis_dimension - 1);
B_pool[i] = SmallMatrix<double>(max_stencil_size, number_of_columns);
G_pool[i] = SmallArray<double>(basis_dimension - 1);
X_pool[i] = SmallMatrix<double>(basis_dimension - 1, number_of_columns);
}
parallel_for(
mesh.numberOfCells(), PUGS_LAMBDA(const CellId cell_j_id) { if (cell_is_owned[cell_j_id]) {
const int32_t t = tokens.acquire();
auto stencil_cell_list = stencil[cell_j_id];
ShrinkMatrixView B(B_pool[t], stencil_cell_list.size());
size_t column_begin = 0;
for (size_t i_discrete_function_variant = 0;
i_discrete_function_variant < discrete_function_variant_list.size(); ++i_discrete_function_variant) {
const auto& discrete_function_variant = discrete_function_variant_list[i_discrete_function_variant];
std::visit(
[&](auto&& discrete_function) {
using DiscreteFunctionT = std::decay_t<decltype(discrete_function)>;
if constexpr (is_discrete_function_P0_v<DiscreteFunctionT>) {
using DataType = std::decay_t<typename DiscreteFunctionT::data_type>;
const DataType& pj = discrete_function[cell_j_id];
for (size_t i = 0; i < stencil_cell_list.size(); ++i) {
const CellId cell_i_id = stencil_cell_list[i];
const DataType& pi_pj = discrete_function[cell_i_id] - pj;
if constexpr (std::is_arithmetic_v<DataType>) {
B(i, column_begin) = pi_pj;
} else if constexpr (is_tiny_vector_v<DataType>) {
for (size_t kB = column_begin, k = 0; k < DataType::Dimension; ++k, ++kB) {
B(i, kB) = pi_pj[k];
}
} else if constexpr (is_tiny_matrix_v<DataType>) {
for (size_t k = 0; k < DataType::NumberOfRows; ++k) {
for (size_t l = 0; l < DataType::NumberOfColumns; ++l) {
B(i, column_begin + k * DataType::NumberOfColumns + l) = pi_pj(k, l);
}
}
}
}
if constexpr (std::is_arithmetic_v<DataType>) {
++column_begin;
} else if constexpr (is_tiny_vector_v<DataType> or is_tiny_matrix_v<DataType>) {
column_begin += DataType::Dimension;
}
} else if constexpr (is_discrete_function_P0_vector_v<DiscreteFunctionT>) {
using DataType = std::decay_t<typename DiscreteFunctionT::data_type>;
const auto pj_vector = discrete_function[cell_j_id];
for (size_t l = 0; l < pj_vector.size(); ++l) {
const DataType& pj = pj_vector[l];
for (size_t i = 0; i < stencil_cell_list.size(); ++i) {
const CellId cell_i_id = stencil_cell_list[i];
const DataType& pi_pj = discrete_function[cell_i_id][l] - pj;
B(i, column_begin + l) = pi_pj;
}
}
column_begin += pj_vector.size();
} else {
// LCOV_EXCL_START
throw UnexpectedError("invalid discrete function type");
// LCOV_EXCL_STOP
}
},
discrete_function_variant->discreteFunction());
}
ShrinkMatrixView A(A_pool[t], stencil_cell_list.size());
const Rd& Xj = xj[cell_j_id];
for (size_t i = 0; i < stencil_cell_list.size(); ++i) {
const CellId cell_i_id = stencil_cell_list[i];
const Rd Xi_Xj = xj[cell_i_id] - Xj;
for (size_t l = 0; l < basis_dimension - 1; ++l) { A(i, l) = Xi_Xj[l];
}
}
if (row_weighting) {
// Add row weighting (give more importance to cells that are
// closer to j)
for (size_t i = 0; i < stencil_cell_list.size(); ++i) {
const CellId cell_i_id = stencil_cell_list[i];
const double weight = 1. / l2Norm(xj[cell_i_id] - Xj);
for (size_t l = 0; l < basis_dimension - 1; ++l) {
A(i, l) *= weight;
}
for (size_t l = 0; l < number_of_columns; ++l) {
B(i, l) *= weight;
}
}
}
const SmallMatrix<double>& X = X_pool[t];
if (preconditioning) {
// Add column weighting preconditioning (increase the presition)
SmallArray<double>& G = G_pool[t];
for (size_t l = 0; l < basis_dimension - 1; ++l) {
double g = 0;
for (size_t i = 0; i < stencil_cell_list.size(); ++i) {
const double Ail = A(i, l);
g += Ail * Ail;
}
G[l] = std::sqrt(g);
}
for (size_t l = 0; l < basis_dimension - 1; ++l) {
const double Gl = G[l];
for (size_t i = 0; i < stencil_cell_list.size(); ++i) {
A(i, l) *= Gl;
}
}
Givens::solveCollectionInPlace(A, X, B);
for (size_t l = 0; l < basis_dimension - 1; ++l) {
const double Gl = G[l];
for (size_t i = 0; i < number_of_columns; ++i) {
X(l, i) *= Gl;
}
}
} else {
Givens::solveCollectionInPlace(A, X, B);
}
column_begin = 0;
for (size_t i_dpk_variant = 0; i_dpk_variant < mutable_discrete_function_dpk_variant_list.size();
++i_dpk_variant) {
const auto& dpk_variant = mutable_discrete_function_dpk_variant_list[i_dpk_variant];
const auto& discrete_function_variant = discrete_function_variant_list[i_dpk_variant];
std::visit(
[&](auto&& dpk_function, auto&& p0_function) {
using DPkFunctionT = std::decay_t<decltype(dpk_function)>;
using P0FunctionT = std::decay_t<decltype(p0_function)>;
using DataType = std::remove_const_t<std::decay_t<typename DPkFunctionT::data_type>>;
using P0DataType = std::remove_const_t<std::decay_t<typename P0FunctionT::data_type>>;
if constexpr (std::is_same_v<DataType, P0DataType>) {
if constexpr (is_discrete_function_P0_v<P0FunctionT>) { if constexpr (is_discrete_function_dpk_scalar_v<DPkFunctionT>) {
auto dpk_j = dpk_function.coefficients(cell_j_id);
dpk_j[0] = p0_function[cell_j_id];
if constexpr (std::is_arithmetic_v<DataType>) {
for (size_t i = 0; i < basis_dimension - 1; ++i) {
auto& dpk_j_ip1 = dpk_j[i + 1];
dpk_j_ip1 = X(i, column_begin);
}
++column_begin;
} else if constexpr (is_tiny_vector_v<DataType>) {
for (size_t i = 0; i < basis_dimension - 1; ++i) {
auto& dpk_j_ip1 = dpk_j[i + 1];
for (size_t k = 0; k < DataType::Dimension; ++k) {
dpk_j_ip1[k] = X(i, column_begin + k);
}
}
column_begin += DataType::Dimension;
} else if constexpr (is_tiny_matrix_v<DataType>) {
for (size_t i = 0; i < basis_dimension - 1; ++i) {
auto& dpk_j_ip1 = dpk_j[i + 1];
for (size_t k = 0; k < DataType::NumberOfRows; ++k) {
for (size_t l = 0; l < DataType::NumberOfColumns; ++l) {
dpk_j_ip1(k, l) = X(i, column_begin + k * DataType::NumberOfColumns + l);
}
}
}
column_begin += DataType::Dimension;
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected data type");
// LCOV_EXCL_STOP
}
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected discrete dpk function type");
// LCOV_EXCL_STOP
}
} else if constexpr (is_discrete_function_P0_vector_v<P0FunctionT>) {
if constexpr (is_discrete_function_dpk_vector_v<DPkFunctionT>) {
auto dpk_j = dpk_function.coefficients(cell_j_id);
auto cell_vector = p0_function[cell_j_id];
const size_t size = basis_dimension;
for (size_t l = 0; l < cell_vector.size(); ++l) {
const size_t component_begin = l * size;
dpk_j[component_begin] = cell_vector[l];
if constexpr (std::is_arithmetic_v<DataType>) {
for (size_t i = 0; i < basis_dimension - 1; ++i) {
auto& dpk_j_ip1 = dpk_j[component_begin + i + 1];
dpk_j_ip1 = X(i, column_begin);
}
++column_begin;
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected data type");
// LCOV_EXCL_STOP
}
}
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected discrete dpk function type");
// LCOV_EXCL_STOP
}
} else {
// LCOV_EXCL_START
throw UnexpectedError("unexpected discrete function type");
// LCOV_EXCL_STOP
}
} else { // LCOV_EXCL_START
throw UnexpectedError("incompatible data types");
// LCOV_EXCL_STOP
}
},
dpk_variant.mutableDiscreteFunctionDPk(), discrete_function_variant->discreteFunction());
}
tokens.release(t);
}
});
std::vector<std::shared_ptr<const DiscreteFunctionDPkVariant>> discrete_function_dpk_variant_list;
for (auto discrete_function_dpk_variant_p : mutable_discrete_function_dpk_variant_list) {
std::visit(
[&](auto&& mutable_function_dpk) {
synchronize(mutable_function_dpk.cellArrays());
discrete_function_dpk_variant_list.push_back(
std::make_shared<DiscreteFunctionDPkVariant>(mutable_function_dpk));
},
discrete_function_dpk_variant_p.mutableDiscreteFunctionDPk());
}
return discrete_function_dpk_variant_list;
}
std::vector<std::shared_ptr<const DiscreteFunctionDPkVariant>>
PolynomialReconstruction::build(
const size_t degree,
const bool preconditioning,
const bool row_weighting,
const std::vector<std::shared_ptr<const DiscreteFunctionVariant>>& discrete_function_variant_list) const
{
if (not hasSameMesh(discrete_function_variant_list)) {
throw NormalError("cannot reconstruct functions living of different meshes simultaneously");
}
auto mesh_v = getCommonMesh(discrete_function_variant_list);
return std::visit(
[&](auto&& p_mesh) {
return this->_build(degree, preconditioning, row_weighting, p_mesh, discrete_function_variant_list);
},
mesh_v->variant());
}