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muSpectre/language_bindings/python/bind_py_solvers.cc
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bind_py_solvers.cc
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/**
* @file bind_py_solver.cc
*
* @author Till Junge <till.junge@epfl.ch>
*
* @date 09 Jan 2018
*
* @brief python bindings for the muSpectre solvers
*
* 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 "solver/solver_cg.hh"
#include "solver/solver_eigen.hh"
#include "solver/mulib_solver.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 cells with equal spatial and material dimension
*/
template <class Solver>
void add_iterative_solver_helper(py::module & mod, std::string name) {
py::class_<Solver, typename Solver::Parent>(mod, name.c_str())
.def(py::init<Cell&, Real, Uint, bool>(),
"cell"_a,
"tol"_a,
"maxiter"_a,
"verbose"_a=false)
.def("name", &Solver::get_name);
}
void add_iterative_solver(py::module & mod) {
std::stringstream name{};
name << "SolverBase";
py::class_<SolverBase>(mod, name.str().c_str());
add_iterative_solver_helper<SolverCG>(mod, "SolverCG");
add_iterative_solver_helper<SolverCGEigen>(mod, "SolverCGEigen");
add_iterative_solver_helper<SolverGMRESEigen>(mod, "SolverGMRESEigen");
add_iterative_solver_helper<SolverBiCGSTABEigen>(mod, "SolverBiCGSTABEigen");
add_iterative_solver_helper<SolverDGMRESEigen>(mod, "SolverDGMRESEigen");
add_iterative_solver_helper<SolverMINRESEigen>(mod, "SolverMINRESEigen");
}
void add_newton_cg_helper(py::module & mod) {
const char name []{"newton_cg"};
using solver = SolverBase;
using grad = py::EigenDRef<Eigen::MatrixXd>;
using grad_vec = LoadSteps_t;
mod.def(name,
[](Cell & s, const grad & g, solver & so, Real nt,
Real eqt, Dim_t verb) -> OptimizeResult {
Eigen::MatrixXd tmp{g};
return newton_cg(s, tmp, so, nt, eqt, verb);
},
"cell"_a,
"ΔF₀"_a,
"solver"_a,
"newton_tol"_a,
"equil_tol"_a,
"verbose"_a=0);
mod.def(name,
[](Cell & s, const grad_vec & g, solver & so, Real nt,
Real eqt, Dim_t verb) -> std::vector<OptimizeResult> {
return newton_cg(s, g, so, nt, eqt, verb);
},
"cell"_a,
"ΔF₀"_a,
"solver"_a,
"newton_tol"_a,
"equilibrium_tol"_a,
"verbose"_a=0);
}
void add_de_geus_helper(py::module & mod) {
const char name []{"de_geus"};
using solver = SolverBase;
using grad = py::EigenDRef<Eigen::MatrixXd>;
using grad_vec = LoadSteps_t;
mod.def(name,
[](Cell & s, const grad & g, solver & so, Real nt,
Real eqt, Dim_t verb) -> OptimizeResult {
Eigen::MatrixXd tmp{g};
return de_geus(s, tmp, so, nt, eqt, verb);
},
"cell"_a,
"ΔF₀"_a,
"solver"_a,
"newton_tol"_a,
"equilibrium_tol"_a,
"verbose"_a=0);
mod.def(name,
[](Cell & s, const grad_vec & g, solver & so, Real nt,
Real eqt, Dim_t verb) -> std::vector<OptimizeResult> {
return de_geus(s, g, so, nt, eqt, verb);
},
"cell"_a,
"ΔF₀"_a,
"solver"_a,
"newton_tol"_a,
"equilibrium_tol"_a,
"verbose"_a=0);
}
void add_mulib_solver(py::module & mod) {
mod.def("muLib", [](const std::string & path,
Real newton_tol,
Real equil_tol,
Real cg_tol,
Uint maxiter,
Dim_t verbose) {
mulib(path, newton_tol, equil_tol, cg_tol, maxiter, verbose);
},
"file_name"_a,
"newton_tol"_a,
"equilibrium_tol"_a,
"cg_tol"_a,
"max_iter"_a,
"verbose"_a=0 ,
"Solver for µLib integration. Takes a netcdf-3 input file and "
"prints output to standard output");
}
void add_solver_helper(py::module & mod) {
add_newton_cg_helper(mod);
add_de_geus_helper (mod);
add_mulib_solver(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_iterative_solver(solvers);
add_solver_helper(solvers);
}
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