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File: | bindings/python/crocoddyl/core/activations/weighted-quadratic-barrier.cpp |
Date: | 2025-03-26 19:23:43 |
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1 | /////////////////////////////////////////////////////////////////////////////// | ||
2 | // BSD 3-Clause License | ||
3 | // | ||
4 | // Copyright (C) 2019-2025, 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/activations/weighted-quadratic-barrier.hpp" | ||
10 | |||
11 | #include "python/crocoddyl/core/activation-base.hpp" | ||
12 | #include "python/crocoddyl/core/core.hpp" | ||
13 | |||
14 | namespace crocoddyl { | ||
15 | namespace python { | ||
16 | |||
17 | template <typename Model> | ||
18 | struct ActivationModelWeightedQuadraticBarrierVisitor | ||
19 | : public bp::def_visitor< | ||
20 | ActivationModelWeightedQuadraticBarrierVisitor<Model>> { | ||
21 | typedef typename Model::Scalar Scalar; | ||
22 | template <class PyClass> | ||
23 | 40 | void visit(PyClass& cl) const { | |
24 | 40 | cl.def("calc", &Model::calc, bp::args("self", "data", "r"), | |
25 | "Compute the inequality activation.\n\n" | ||
26 | ":param data: activation data\n" | ||
27 | ":param r: residual vector") | ||
28 |
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80 | .def("calcDiff", &Model::calcDiff, bp::args("self", "data", "r"), |
29 | "Compute the derivatives of inequality activation.\n\n" | ||
30 | "Note that the Hessian is constant, so we don't write again this " | ||
31 | "value. It assumes that calc has been run first.\n" | ||
32 | ":param data: activation data\n" | ||
33 | ":param r: residual vector \n") | ||
34 |
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80 | .def("createData", &Model::createData, bp::args("self"), |
35 | "Create the weighted quadratic activation data.") | ||
36 |
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80 | .add_property( |
37 | "bounds", | ||
38 | bp::make_function(&Model::get_bounds, | ||
39 | 40 | bp::return_value_policy<bp::return_by_value>()), | |
40 | bp::make_function(&Model::set_bounds), | ||
41 | "bounds (beta, lower and upper bounds)") | ||
42 |
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80 | .add_property("weights", |
43 | bp::make_function(&Model::get_weights, | ||
44 | 40 | bp::return_internal_reference<>()), | |
45 | bp::make_function(&Model::set_weights), | ||
46 | "vector of weights"); | ||
47 | 40 | } | |
48 | }; | ||
49 | |||
50 | #define CROCODDYL_ACTIVATION_MODEL_WEIGHTEDQUADRATICBARRIER_PYTHON_BINDINGS( \ | ||
51 | Scalar) \ | ||
52 | typedef ActivationModelWeightedQuadraticBarrierTpl<Scalar> Model; \ | ||
53 | typedef ActivationModelAbstractTpl<Scalar> ModelBase; \ | ||
54 | typedef ActivationBoundsTpl<Scalar> Bounds; \ | ||
55 | typedef typename Model::VectorXs VectorXs; \ | ||
56 | bp::register_ptr_to_python<std::shared_ptr<Model>>(); \ | ||
57 | bp::class_<Model, bp::bases<ModelBase>>( \ | ||
58 | "ActivationModelWeightedQuadraticBarrier", \ | ||
59 | "Inequality activation model.\n\n" \ | ||
60 | "The activation is zero when r is between the lower (lb) and upper " \ | ||
61 | "(ub) bounds, beta determines how much of the total range is not " \ | ||
62 | "activated. This is the activation equations:\n" \ | ||
63 | "a(r) = 0.5 * ||r||_w^2 for lb < r < ub\n" \ | ||
64 | "a(r) = 0. for lb >= r >= ub,\n" \ | ||
65 | "where w is the vector of weights", \ | ||
66 | bp::init<Bounds, VectorXs>(bp::args("self", "bounds", "weights"), \ | ||
67 | "Initialize the activation model.\n\n" \ | ||
68 | ":param bounds: activation bounds\n" \ | ||
69 | ":param weights: weights")) \ | ||
70 | .def(ActivationModelWeightedQuadraticBarrierVisitor<Model>()) \ | ||
71 | .def(CastVisitor<Model>()) \ | ||
72 | .def(PrintableVisitor<Model>()) \ | ||
73 | .def(CopyableVisitor<Model>()); | ||
74 | |||
75 | 10 | void exposeActivationWeightedQuadraticBarrier() { | |
76 |
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20 | CROCODDYL_PYTHON_SCALARS( |
77 | CROCODDYL_ACTIVATION_MODEL_WEIGHTEDQUADRATICBARRIER_PYTHON_BINDINGS) | ||
78 | 10 | } | |
79 | |||
80 | } // namespace python | ||
81 | } // namespace crocoddyl | ||
82 |