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tamaas/python/wrap/compute.cpp
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compute.cpp
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/*
* SPDX-License-Indentifier: AGPL-3.0-or-later
*
* Copyright (©) 2016-2023 EPFL (École Polytechnique Fédérale de Lausanne),
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
* Copyright (©) 2020-2023 Lucas Frérot
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published
* by the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "computes.hh"
#include "wrap.hh"
/* -------------------------------------------------------------------------- */
namespace tamaas {
namespace wrap {
using namespace py::literals;
void wrapCompute(py::module& mod) {
auto compute_mod = mod.def_submodule("compute");
compute_mod.doc() = "Module defining basic computations on fields.";
compute_mod.def(
"eigenvalues",
[](model_type type, Grid<Real, 3>& eigs, const Grid<Real, 3>& field) {
eigenvalues(type, eigs, field);
},
"model_type"_a, "eigenvalues_out"_a, "field"_a,
"Compute eigenvalues of a tensor field");
compute_mod.def(
"von_mises",
[](model_type type, Grid<Real, 3>& vm, const Grid<Real, 3>& field) {
vonMises(type, vm, field);
},
"model_type"_a, "von_mises"_a, "field"_a,
"Compute the Von Mises invariant of a tensor field");
compute_mod.def(
"deviatoric",
[](model_type type, Grid<Real, 3>& dev, const Grid<Real, 3>& field) {
deviatoric(type, dev, field);
},
"model_type"_a, "deviatoric"_a, "field"_a,
"Compute the deviatoric part of a tensor field");
compute_mod.def(
"to_voigt",
[](const Grid<Real, 3>& field) {
TAMAAS_ASSERT(field.getNbComponents() == 9,
"Wrong number of components to symmetrize");
Grid<Real, 3> voigt(field.sizes(), 6);
Loop::loop(
[] CUDA_LAMBDA(MatrixProxy<const Real, 3, 3> in,
SymMatrixProxy<Real, 3> out) { out.symmetrize(in); },
range<MatrixProxy<const Real, 3, 3>>(field),
range<SymMatrixProxy<Real, 3>>(voigt));
return voigt;
},
"Convert a 3D tensor field to voigt notation",
py::return_value_policy::copy);
compute_mod.def(
"from_voigt",
[](const Grid<Real, 3>& field) {
TAMAAS_ASSERT(field.getNbComponents() == 6,
"Wrong number of components to symmetrize");
Grid<Real, 3> full(field.sizes(), 9);
Loop::loop([] CUDA_LAMBDA(
SymMatrixProxy<const Real, 3> in,
MatrixProxy<Real, 3, 3> out) { out.fromSymmetric(in); },
range<SymMatrixProxy<const Real, 3>>(field),
range<MatrixProxy<Real, 3, 3>>(full));
return full;
},
"Convert a 3D tensor field to voigt notation",
py::return_value_policy::copy);
}
} // namespace wrap
} // namespace tamaas
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