Homec4science
Diffusion µSpectre (intersection_octree) Browse

muSpectre/language_bindings/python/bind_py_solvers.cc
d2def4796a54intersection_octree

Last Change
Raw File

bind_py_solvers.cc
View Options

/**
* file bind_py_solver.cc
*
* @author Till Junge <till.junge@epfl.ch>
*
* @date 09 Jan 2018
*
* @brief python bindings for the muSpectre solvers
*
* @section LICENSE
*
* Copyright © 2018 Till Junge
*
* µSpectre is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License as
* published by the Free Software Foundation, either version 3, or (at
* your option) any later version.
*
* µSpectre 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
* General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with GNU Emacs; see the file COPYING. If not, write to the
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
* Boston, MA 02111-1307, USA.
*/
#include "common/common.hh"
#include "solver/solvers.hh"
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/eigen.h>
using namespace muSpectre;
namespace py=pybind11;
using namespace pybind11::literals;
/**
* Solvers instanciated for systems with equal spatial and material dimension
*/
template <Dim_t sdim>
void add_newton_cg_helper(py::module & mod) {
const char name []{"newton_cg"};
constexpr Dim_t mdim{sdim};
using sys = SystemBase<sdim, mdim>;
using grad = Grad_t<sdim>;
using grad_vec = GradIncrements<sdim>;
mod.def(name,
[](sys & s, const grad & g, Real ct, Real nt,
Uint max, Dim_t verb) -> OptimizeResult {
return newton_cg(s, g, ct, nt, max, verb);
},
"system"_a,
"ΔF₀"_a,
"cg_tol"_a,
"newton_tol"_a,
"maxiter"_a=0,
"verbose"_a=0);
mod.def(name,
[](sys & s, const grad_vec & g, Real ct, Real nt,
Uint max, Dim_t verb) -> std::vector<OptimizeResult> {
return newton_cg(s, g, ct, nt, max, verb);
},
"system"_a,
"ΔF₀"_a,
"cg_tol"_a,
"newton_tol"_a,
"maxiter"_a=0,
"verbose"_a=0);
}
template <Dim_t sdim>
void add_de_geus_helper(py::module & mod) {
const char name []{"de_geus"};
constexpr Dim_t mdim{sdim};
using sys = SystemBase<sdim, mdim>;
using grad = Grad_t<sdim>;
using grad_vec = GradIncrements<sdim>;
mod.def(name,
[](sys & s, const grad & g, Real ct, Real nt,
Uint max, Dim_t verb) -> OptimizeResult {
return de_geus(s, g, ct, nt, max, verb);
},
"system"_a,
"ΔF₀"_a,
"cg_tol"_a,
"newton_tol"_a,
"maxiter"_a=0,
"verbose"_a=0);
mod.def(name,
[](sys & s, const grad_vec & g, Real ct, Real nt,
Uint max, Dim_t verb) -> std::vector<OptimizeResult> {
return de_geus(s, g, ct, nt, max, verb);
},
"system"_a,
"ΔF₀"_a,
"cg_tol"_a,
"newton_tol"_a,
"maxiter"_a=0,
"verbose"_a=0);
}
template <Dim_t dim>
void add_solver_helper(py::module & mod) {
add_newton_cg_helper<dim>(mod);
add_de_geus_helper <dim>(mod);
}
void add_solvers(py::module & mod) {
auto solvers{mod.def_submodule("solvers")};
solvers.doc() = "bindings for solvers";
py::class_<OptimizeResult>(mod, "OptimizeResult")
.def_readwrite("grad", &OptimizeResult::grad)
.def_readwrite("stress", &OptimizeResult::stress)
.def_readwrite("success", &OptimizeResult::success)
.def_readwrite("status", &OptimizeResult::status)
.def_readwrite("message", &OptimizeResult::message)
.def_readwrite("nb_it", &OptimizeResult::nb_it)
.def_readwrite("nb_fev", &OptimizeResult::nb_fev);
add_solver_helper<twoD >(solvers);
add_solver_helper<threeD>(solvers);
}
c4science · Help