Line |
Branch |
Exec |
Source |
1 |
|
|
/////////////////////////////////////////////////////////////////////////////// |
2 |
|
|
// BSD 3-Clause License |
3 |
|
|
// |
4 |
|
|
// Copyright (C) 2021-2025, University of Edinburgh, Heriot-Watt University |
5 |
|
|
// Copyright note valid unless otherwise stated in individual files. |
6 |
|
|
// All rights reserved. |
7 |
|
|
/////////////////////////////////////////////////////////////////////////////// |
8 |
|
|
|
9 |
|
|
#ifndef BINDINGS_PYTHON_CROCODDYL_CORE_RESIDUAL_BASE_HPP_ |
10 |
|
|
#define BINDINGS_PYTHON_CROCODDYL_CORE_RESIDUAL_BASE_HPP_ |
11 |
|
|
|
12 |
|
|
#include "crocoddyl/core/residual-base.hpp" |
13 |
|
|
#include "python/crocoddyl/core/core.hpp" |
14 |
|
|
|
15 |
|
|
namespace crocoddyl { |
16 |
|
|
namespace python { |
17 |
|
|
|
18 |
|
|
template <typename _Scalar> |
19 |
|
|
class ResidualModelAbstractTpl_wrap |
20 |
|
|
: public ResidualModelAbstractTpl<_Scalar>, |
21 |
|
|
public bp::wrapper<ResidualModelAbstractTpl<_Scalar>> { |
22 |
|
|
public: |
23 |
|
|
EIGEN_MAKE_ALIGNED_OPERATOR_NEW |
24 |
|
✗ |
CROCODDYL_DERIVED_CAST(ResidualModelBase, ResidualModelAbstractTpl_wrap) |
25 |
|
|
|
26 |
|
|
typedef _Scalar Scalar; |
27 |
|
|
typedef typename ScalarSelector<Scalar>::type ScalarType; |
28 |
|
|
typedef typename crocoddyl::ResidualModelAbstractTpl<Scalar> ResidualModel; |
29 |
|
|
typedef typename crocoddyl::ResidualDataAbstractTpl<Scalar> ResidualData; |
30 |
|
|
typedef typename crocoddyl::StateAbstractTpl<Scalar> State; |
31 |
|
|
typedef typename ResidualModel::CostDataAbstract CostData; |
32 |
|
|
typedef typename ResidualModel::ActivationDataAbstract ActivationData; |
33 |
|
|
typedef typename ResidualModel::DataCollectorAbstract DataCollectorAbstract; |
34 |
|
|
typedef typename ResidualModel::VectorXs VectorXs; |
35 |
|
|
using ResidualModel::nr_; |
36 |
|
|
using ResidualModel::nu_; |
37 |
|
|
using ResidualModel::q_dependent_; |
38 |
|
|
using ResidualModel::state_; |
39 |
|
|
using ResidualModel::u_dependent_; |
40 |
|
|
using ResidualModel::unone_; |
41 |
|
|
using ResidualModel::v_dependent_; |
42 |
|
|
|
43 |
|
✗ |
ResidualModelAbstractTpl_wrap(std::shared_ptr<State> state, |
44 |
|
|
const std::size_t nr, const std::size_t nu, |
45 |
|
|
const bool q_dependent = true, |
46 |
|
|
const bool v_dependent = true, |
47 |
|
|
const bool u_dependent = true) |
48 |
|
|
: ResidualModel(state, nr, nu, q_dependent, v_dependent, u_dependent), |
49 |
|
✗ |
bp::wrapper<ResidualModel>() { |
50 |
|
✗ |
unone_ = VectorXs::Constant(nu_, Scalar(NAN)); |
51 |
|
|
} |
52 |
|
|
|
53 |
|
✗ |
ResidualModelAbstractTpl_wrap(std::shared_ptr<State> state, |
54 |
|
|
const std::size_t nr, |
55 |
|
|
const bool q_dependent = true, |
56 |
|
|
const bool v_dependent = true, |
57 |
|
|
const bool u_dependent = true) |
58 |
|
|
: ResidualModel(state, nr, q_dependent, v_dependent, u_dependent), |
59 |
|
✗ |
bp::wrapper<ResidualModel>() { |
60 |
|
✗ |
unone_ = VectorXs::Constant(nu_, Scalar(NAN)); |
61 |
|
|
} |
62 |
|
|
|
63 |
|
✗ |
void calc(const std::shared_ptr<ResidualData>& data, |
64 |
|
|
const Eigen::Ref<const VectorXs>& x, |
65 |
|
|
const Eigen::Ref<const VectorXs>& u) override { |
66 |
|
✗ |
if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { |
67 |
|
✗ |
throw_pretty( |
68 |
|
|
"Invalid argument: " << "x has wrong dimension (it should be " + |
69 |
|
|
std::to_string(state_->get_nx()) + ")"); |
70 |
|
|
} |
71 |
|
✗ |
if (static_cast<std::size_t>(u.size()) != nu_) { |
72 |
|
✗ |
throw_pretty( |
73 |
|
|
"Invalid argument: " << "u has wrong dimension (it should be " + |
74 |
|
|
std::to_string(nu_) + ")"); |
75 |
|
|
} |
76 |
|
✗ |
if (std::isnan( |
77 |
|
✗ |
scalar_cast<ScalarType>(u.template lpNorm<Eigen::Infinity>()))) { |
78 |
|
✗ |
return bp::call<void>(this->get_override("calc").ptr(), data, |
79 |
|
✗ |
(VectorXs)x); |
80 |
|
|
} else { |
81 |
|
✗ |
return bp::call<void>(this->get_override("calc").ptr(), data, (VectorXs)x, |
82 |
|
✗ |
(VectorXs)u); |
83 |
|
|
} |
84 |
|
|
} |
85 |
|
|
|
86 |
|
✗ |
void calcDiff(const std::shared_ptr<ResidualData>& data, |
87 |
|
|
const Eigen::Ref<const VectorXs>& x, |
88 |
|
|
const Eigen::Ref<const VectorXs>& u) override { |
89 |
|
✗ |
if (static_cast<std::size_t>(x.size()) != state_->get_nx()) { |
90 |
|
✗ |
throw_pretty( |
91 |
|
|
"Invalid argument: " << "x has wrong dimension (it should be " + |
92 |
|
|
std::to_string(state_->get_nx()) + ")"); |
93 |
|
|
} |
94 |
|
✗ |
if (static_cast<std::size_t>(u.size()) != nu_) { |
95 |
|
✗ |
throw_pretty( |
96 |
|
|
"Invalid argument: " << "u has wrong dimension (it should be " + |
97 |
|
|
std::to_string(nu_) + ")"); |
98 |
|
|
} |
99 |
|
✗ |
if (std::isnan( |
100 |
|
✗ |
scalar_cast<ScalarType>(u.template lpNorm<Eigen::Infinity>()))) { |
101 |
|
✗ |
return bp::call<void>(this->get_override("calcDiff").ptr(), data, |
102 |
|
✗ |
(VectorXs)x); |
103 |
|
|
} else { |
104 |
|
✗ |
return bp::call<void>(this->get_override("calcDiff").ptr(), data, |
105 |
|
✗ |
(VectorXs)x, (VectorXs)u); |
106 |
|
|
} |
107 |
|
|
} |
108 |
|
|
|
109 |
|
✗ |
std::shared_ptr<ResidualData> createData( |
110 |
|
|
DataCollectorAbstract* const data) override { |
111 |
|
✗ |
enableMultithreading() = false; |
112 |
|
✗ |
if (boost::python::override createData = this->get_override("createData")) { |
113 |
|
|
return bp::call<std::shared_ptr<ResidualData>>(createData.ptr(), |
114 |
|
✗ |
boost::ref(data)); |
115 |
|
|
} |
116 |
|
✗ |
return ResidualModel::createData(data); |
117 |
|
|
} |
118 |
|
|
|
119 |
|
✗ |
std::shared_ptr<ResidualData> default_createData( |
120 |
|
|
DataCollectorAbstract* const data) { |
121 |
|
✗ |
return this->ResidualModel::createData(data); |
122 |
|
|
} |
123 |
|
|
|
124 |
|
✗ |
void calcCostDiff(const std::shared_ptr<CostData>& cdata, |
125 |
|
|
const std::shared_ptr<ResidualData>& rdata, |
126 |
|
|
const std::shared_ptr<ActivationData>& adata, |
127 |
|
|
const bool update_u = true) override { |
128 |
|
✗ |
if (boost::python::override calcCostDiff = |
129 |
|
|
this->get_override("calcCostDiff")) { |
130 |
|
✗ |
return bp::call<void>(calcCostDiff.ptr(), boost::ref(cdata), |
131 |
|
✗ |
boost::ref(rdata), boost::ref(adata), update_u); |
132 |
|
|
} |
133 |
|
✗ |
return ResidualModel::calcCostDiff(cdata, rdata, adata, update_u); |
134 |
|
|
} |
135 |
|
|
|
136 |
|
✗ |
void default_calcCostDiff(const std::shared_ptr<CostData>& cdata, |
137 |
|
|
const std::shared_ptr<ResidualData>& rdata, |
138 |
|
|
const std::shared_ptr<ActivationData>& adata, |
139 |
|
|
const bool update_u) { |
140 |
|
✗ |
return this->ResidualModel::calcCostDiff(cdata, rdata, adata, update_u); |
141 |
|
|
} |
142 |
|
|
|
143 |
|
✗ |
void default_calcCostDiff_noupdate_u( |
144 |
|
|
const std::shared_ptr<CostData>& cdata, |
145 |
|
|
const std::shared_ptr<ResidualData>& rdata, |
146 |
|
|
const std::shared_ptr<ActivationData>& adata) { |
147 |
|
✗ |
return this->ResidualModel::calcCostDiff(cdata, rdata, adata); |
148 |
|
|
} |
149 |
|
|
|
150 |
|
|
template <typename NewScalar> |
151 |
|
✗ |
ResidualModelAbstractTpl_wrap<NewScalar> cast() const { |
152 |
|
|
typedef ResidualModelAbstractTpl_wrap<NewScalar> ReturnType; |
153 |
|
✗ |
ReturnType ret(state_->template cast<NewScalar>(), nr_, nu_, q_dependent_, |
154 |
|
✗ |
v_dependent_, u_dependent_); |
155 |
|
✗ |
return ret; |
156 |
|
|
} |
157 |
|
|
}; |
158 |
|
|
|
159 |
|
|
} // namespace python |
160 |
|
|
} // namespace crocoddyl |
161 |
|
|
|
162 |
|
|
#endif // BINDINGS_PYTHON_CROCODDYL_CORE_RESIDUAL_BASE_HPP_ |
163 |
|
|
|