Line |
Branch |
Exec |
Source |
1 |
|
|
/////////////////////////////////////////////////////////////////////////////// |
2 |
|
|
// BSD 3-Clause License |
3 |
|
|
// |
4 |
|
|
// Copyright (C) 2020-2023, University of Edinburgh, Heriot-Watt University |
5 |
|
|
// Copyright note valid unless otherwise stated in individual files. |
6 |
|
|
// All rights reserved. |
7 |
|
|
/////////////////////////////////////////////////////////////////////////////// |
8 |
|
|
|
9 |
|
|
#include "crocoddyl/core/solvers/box-qp.hpp" |
10 |
|
|
|
11 |
|
|
#include "python/crocoddyl/core/core.hpp" |
12 |
|
|
#include "python/crocoddyl/utils/copyable.hpp" |
13 |
|
|
#include "python/crocoddyl/utils/deprecate.hpp" |
14 |
|
|
|
15 |
|
|
#define SCALAR_float64 |
16 |
|
|
|
17 |
|
|
namespace crocoddyl { |
18 |
|
|
namespace python { |
19 |
|
|
|
20 |
|
✗ |
void exposeSolverBoxQP() { |
21 |
|
|
#ifdef SCALAR_float64 |
22 |
|
✗ |
bp::register_ptr_to_python<std::shared_ptr<BoxQPSolution> >(); |
23 |
|
|
|
24 |
|
✗ |
bp::class_<BoxQPSolution>( |
25 |
|
|
"BoxQPSolution", "Solution data of the box QP.\n\n", |
26 |
|
✗ |
bp::init<Eigen::MatrixXd, Eigen::VectorXd, std::vector<size_t>, |
27 |
|
|
std::vector<size_t> >( |
28 |
|
✗ |
bp::args("self", "Hff_inv", "x", "free_idx", "clamped_idx"), |
29 |
|
|
"Initialize the data for the box-QP solution.\n\n" |
30 |
|
|
":param Hff_inv: inverse of the free Hessian\n" |
31 |
|
|
":param x: decision variable\n" |
32 |
|
|
":param free_idx: free indexes\n" |
33 |
|
|
":param clamped_idx: clamped indexes")) |
34 |
|
✗ |
.add_property("Hff_inv", |
35 |
|
✗ |
bp::make_getter(&BoxQPSolution::Hff_inv, |
36 |
|
✗ |
bp::return_internal_reference<>()), |
37 |
|
✗ |
bp::make_setter(&BoxQPSolution::Hff_inv), |
38 |
|
|
"inverse of the free Hessian matrix") |
39 |
|
✗ |
.add_property( |
40 |
|
|
"x", |
41 |
|
✗ |
bp::make_getter(&BoxQPSolution::x, bp::return_internal_reference<>()), |
42 |
|
✗ |
bp::make_setter(&BoxQPSolution::x), "decision variable") |
43 |
|
✗ |
.add_property( |
44 |
|
|
"free_idx", |
45 |
|
✗ |
bp::make_getter(&BoxQPSolution::free_idx, |
46 |
|
✗ |
bp::return_value_policy<bp::return_by_value>()), |
47 |
|
✗ |
bp::make_setter(&BoxQPSolution::free_idx), "free indexes") |
48 |
|
✗ |
.add_property( |
49 |
|
|
"clamped_idx", |
50 |
|
✗ |
bp::make_getter(&BoxQPSolution::clamped_idx, |
51 |
|
✗ |
bp::return_value_policy<bp::return_by_value>()), |
52 |
|
✗ |
bp::make_setter(&BoxQPSolution::clamped_idx), "clamped indexes") |
53 |
|
✗ |
.def(CopyableVisitor<BoxQPSolution>()); |
54 |
|
|
|
55 |
|
✗ |
bp::register_ptr_to_python<std::shared_ptr<BoxQP> >(); |
56 |
|
|
|
57 |
|
✗ |
bp::class_<BoxQP>( |
58 |
|
|
"BoxQP", |
59 |
|
|
"Projected-Newton QP for only bound constraints.\n\n" |
60 |
|
|
"It solves a QP problem with bound constraints of the form:\n" |
61 |
|
|
" x = argmin 0.5 x^T H x + q^T x\n" |
62 |
|
|
" subject to: lb <= x <= ub" |
63 |
|
|
"where nx is the number of decision variables.", |
64 |
|
✗ |
bp::init<std::size_t, bp::optional<std::size_t, double, double, double> >( |
65 |
|
✗ |
bp::args("self", "nx", "maxiter", "th_acceptstep", "th_grad", "reg"), |
66 |
|
|
"Initialize the Projected-Newton QP for bound constraints.\n\n" |
67 |
|
|
":param nx: dimension of the decision vector\n" |
68 |
|
|
":param maxiter: maximum number of allowed iterations (default 100)\n" |
69 |
|
|
":param th_acceptstep: acceptance step condition (default 0.1)\n" |
70 |
|
|
":param th_grad: gradient tolerance condition (default 1e-9)\n" |
71 |
|
|
":param reg: regularization (default 1e-9)")) |
72 |
|
✗ |
.def("solve", &BoxQP::solve, |
73 |
|
✗ |
bp::return_value_policy<bp::return_by_value>(), |
74 |
|
✗ |
bp::args("H", "q", "lb", "ub", "xinit"), |
75 |
|
|
"Compute the solution of bound-constrained QP based on Newton " |
76 |
|
|
"projection.\n\n" |
77 |
|
|
":param H: Hessian (dimension nx * nx)\n" |
78 |
|
|
":param q: gradient (dimension nx)\n" |
79 |
|
|
":param lb: lower bound (dimension nx)\n" |
80 |
|
|
":param ub: upper bound (dimension nx)\n" |
81 |
|
|
":param xinit: initial guess") |
82 |
|
✗ |
.add_property("solution", |
83 |
|
✗ |
bp::make_function( |
84 |
|
|
&BoxQP::get_solution, |
85 |
|
✗ |
bp::return_value_policy<bp::copy_const_reference>()), |
86 |
|
|
"QP solution.") |
87 |
|
✗ |
.add_property("nx", bp::make_function(&BoxQP::get_nx), |
88 |
|
✗ |
bp::make_function(&BoxQP::set_nx), |
89 |
|
|
"dimension of the decision vector.") |
90 |
|
✗ |
.add_property("maxIter", bp::make_function(&BoxQP::get_maxiter), |
91 |
|
✗ |
bp::make_function(&BoxQP::set_maxiter), |
92 |
|
|
"maximum number of allowed iterations.") |
93 |
|
✗ |
.add_property("maxiter", |
94 |
|
✗ |
bp::make_function(&BoxQP::get_maxiter, |
95 |
|
✗ |
deprecated<>("Deprecated. Use maxIter")), |
96 |
|
✗ |
bp::make_function(&BoxQP::set_maxiter, |
97 |
|
✗ |
deprecated<>("Deprecated. Use maxIter")), |
98 |
|
|
"maximum number of allowed iterations.") |
99 |
|
✗ |
.add_property("th_acceptStep", |
100 |
|
✗ |
bp::make_function(&BoxQP::get_th_acceptstep), |
101 |
|
✗ |
bp::make_function(&BoxQP::set_th_acceptstep), |
102 |
|
|
"acceptable reduction ration.") |
103 |
|
✗ |
.add_property("th_grad", bp::make_function(&BoxQP::get_th_grad), |
104 |
|
✗ |
bp::make_function(&BoxQP::set_th_grad), |
105 |
|
|
"convergence tolerance.") |
106 |
|
✗ |
.add_property("reg", bp::make_function(&BoxQP::get_reg), |
107 |
|
✗ |
bp::make_function(&BoxQP::set_reg), "regularization value.") |
108 |
|
✗ |
.add_property("alphas", |
109 |
|
✗ |
bp::make_function( |
110 |
|
|
&BoxQP::get_alphas, |
111 |
|
✗ |
bp::return_value_policy<bp::copy_const_reference>()), |
112 |
|
✗ |
bp::make_function(&BoxQP::set_alphas), |
113 |
|
|
"list of step length (alpha) values") |
114 |
|
✗ |
.def(CopyableVisitor<BoxQP>()); |
115 |
|
|
#endif |
116 |
|
|
} |
117 |
|
|
|
118 |
|
|
} // namespace python |
119 |
|
|
} // namespace crocoddyl |
120 |
|
|
|