10 #ifndef CROCODDYL_CORE_ACTIVATIONS_SMOOTH_1NORM_HPP_
11 #define CROCODDYL_CORE_ACTIVATIONS_SMOOTH_1NORM_HPP_
13 #include "crocoddyl/core/activation-base.hpp"
14 #include "crocoddyl/core/fwd.hpp"
33 template <
typename _Scalar>
37 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
40 typedef _Scalar Scalar;
45 typedef typename MathBase::VectorXs VectorXs;
46 typedef typename MathBase::MatrixXs MatrixXs;
57 const Scalar eps = Scalar(1.))
59 if (eps < Scalar(0.)) {
60 throw_pretty(
"Invalid argument: " <<
"eps should be a positive value");
62 if (eps == Scalar(0.)) {
63 std::cerr <<
"Warning: eps=0 leads to derivatives discontinuities in the "
64 "origin, it becomes the absolute function"
76 virtual void calc(
const std::shared_ptr<ActivationDataAbstract>& data,
77 const Eigen::Ref<const VectorXs>& r)
override {
78 if (
static_cast<std::size_t
>(r.size()) != nr_) {
80 "Invalid argument: " <<
"r has wrong dimension (it should be " +
81 std::to_string(nr_) +
")");
83 std::shared_ptr<Data> d = std::static_pointer_cast<Data>(data);
85 d->a = (r.array().cwiseAbs2().array() +
eps_).array().cwiseSqrt();
86 data->a_value = d->a.sum();
95 virtual void calcDiff(
const std::shared_ptr<ActivationDataAbstract>& data,
96 const Eigen::Ref<const VectorXs>& r)
override {
97 if (
static_cast<std::size_t
>(r.size()) != nr_) {
99 "Invalid argument: " <<
"r has wrong dimension (it should be " +
100 std::to_string(nr_) +
")");
103 std::shared_ptr<Data> d = std::static_pointer_cast<Data>(data);
104 data->Ar = r.cwiseProduct(d->a.cwiseInverse());
105 data->Arr.diagonal() =
106 d->a.cwiseProduct(d->a).cwiseProduct(d->a).cwiseInverse();
114 virtual std::shared_ptr<ActivationDataAbstract>
createData()
override {
115 return std::allocate_shared<Data>(Eigen::aligned_allocator<Data>(),
this);
118 template <
typename NewScalar>
121 ReturnType res(nr_, scalar_cast<NewScalar>(
eps_));
130 virtual void print(std::ostream& os)
const override {
131 os <<
"ActivationModelSmooth1Norm {nr=" << nr_ <<
", eps=" <<
eps_ <<
"}";
139 template <
typename _Scalar>
142 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
144 typedef _Scalar Scalar;
147 typedef typename MathBase::VectorXs VectorXs;
148 typedef typename MathBase::MatrixXs MatrixXs;
149 typedef typename MathBase::DiagonalMatrixXs DiagonalMatrixXs;
151 template <
typename Activation>
153 :
Base(activation), a(VectorXs::Zero(activation->get_nr())) {}
165 CROCODDYL_DECLARE_EXTERN_TEMPLATE_CLASS(
167 CROCODDYL_DECLARE_EXTERN_TEMPLATE_STRUCT(
virtual void calcDiff(const std::shared_ptr< ActivationDataAbstract > &data, const Eigen::Ref< const VectorXs > &r) override
Compute the derivatives of the smooth-abs function.
virtual std::shared_ptr< ActivationDataAbstract > createData() override
Create the smooth-abs activation data.
Scalar eps_
< Dimension of the residual vector
ActivationModelSmooth1NormTpl(const std::size_t nr, const Scalar eps=Scalar(1.))
Initialize the smooth-abs activation model.
virtual void calc(const std::shared_ptr< ActivationDataAbstract > &data, const Eigen::Ref< const VectorXs > &r) override
Compute the smooth-abs function.
virtual void print(std::ostream &os) const override
Print relevant information of the smooth-1norm model.