16std::string format_abi_version(uint64_t version) {
17 std::string s(16,
'0');
18 auto begin = s.data(), end = begin + s.size();
19 auto [ptr, ec] = std::to_chars(begin, end, version, 16);
20 if (ec != std::errc())
21 throw std::logic_error(std::make_error_code(ec).message());
22 std::rotate(begin, ptr, end);
26void check_abi_version(uint64_t abi_version) {
28 auto prob_version = format_abi_version(abi_version);
30 throw std::runtime_error(
31 "alpaqa::dl::DLProblem::DLProblem: "
32 "Incompatible problem definition (problem ABI version 0x" +
33 prob_version +
", this version of alpaqa supports 0x" +
34 alpaqa_version +
")");
38std::shared_ptr<void> load_lib(
const std::string &so_filename) {
39 assert(!so_filename.empty());
41 void *h = ::dlopen(so_filename.c_str(), RTLD_LOCAL | RTLD_NOW);
42 if (
auto *err = ::dlerror())
43 throw std::runtime_error(err);
44 return std::shared_ptr<void>{h, &::dlclose};
48F *load_func(
void *handle, std::string symbol_prefix, std::string_view name) {
50 auto &full_name = symbol_prefix;
54 auto *h = ::dlsym(handle, full_name.c_str());
55 if (
auto *err = ::dlerror())
56 throw std::runtime_error(err);
58 return reinterpret_cast<F *
>(h);
61std::mutex leaked_modules_mutex;
62std::list<std::shared_ptr<void>> leaked_modules;
63void leak_lib(std::shared_ptr<void> handle) {
64 std::lock_guard lck{leaked_modules_mutex};
65 leaked_modules.emplace_back(std::move(handle));
73 handle = load_lib(so_filename);
74 auto *register_func = load_func<problem_register_t(void *)>(
75 handle.get(), std::move(symbol_prefix),
"register");
76 auto r = register_func(user_param);
78 std::unique_ptr<void, void (*)(
void *)> unique_inst{r.instance, r.cleanup};
79 std::unique_ptr<alpaqa_function_dict_t> unique_extra{r.extra_functions};
80 std::unique_ptr<alpaqa_exception_ptr_t> unique_exception{r.exception};
81 check_abi_version(r.abi_version);
83 if (unique_exception) {
93 std::rethrow_exception(unique_exception->exc);
96 throw std::logic_error(
"alpaqa::dl::DLProblem::DLProblem: plugin did "
97 "not return any functions");
99 instance = std::shared_ptr<void>{std::move(unique_inst)};
101 extra_funcs = std::shared_ptr<function_dict_t>{std::move(unique_extra)};
105 this->
C =
Box{this->
n};
106 this->
D =
Box{this->
m};
109 this->C.upperbound.data());
112 this->D.upperbound.data());
126 if (functions->eval_prox_grad_step)
127 return functions->eval_prox_grad_step(
128 instance.get(), γ, x.data(), grad_ψ.data(), x̂.data(), p.data());
138auto DLProblem::eval_jac_g(
crvec x,
rindexvec inner_idx,
rindexvec outer_ptr,
rvec J_values)
const ->
void {
return functions->eval_jac_g(instance.get(), x.data(), inner_idx.data(), outer_ptr.data(), J_values.size() == 0 ?
nullptr : J_values.data()); }
141auto DLProblem::eval_hess_L(
crvec x,
crvec y,
real_t scale,
rindexvec inner_idx,
rindexvec outer_ptr,
rvec H_values)
const ->
void {
return functions->eval_hess_L(instance.get(), x.data(), y.data(), scale, inner_idx.data(), outer_ptr.data(), H_values.size() == 0 ?
nullptr : H_values.data()); }
143auto DLProblem::eval_hess_ψ_prod(
crvec x,
crvec y,
crvec Σ,
real_t scale,
crvec v,
rvec Hv)
const ->
void {
return functions->eval_hess_ψ_prod(instance.get(), x.data(), y.data(), Σ.data(), scale, D.lowerbound.data(), D.upperbound.data(), v.data(), Hv.data()); }
144auto DLProblem::eval_hess_ψ(
crvec x,
crvec y,
crvec Σ,
real_t scale,
rindexvec inner_idx,
rindexvec outer_ptr,
rvec H_values)
const ->
void {
return functions->eval_hess_ψ(instance.get(), x.data(), y.data(), Σ.data(), scale, D.lowerbound.data(), D.upperbound.data(), inner_idx.data(), outer_ptr.data(), H_values.size() == 0 ?
nullptr : H_values.data()); }
151auto DLProblem::eval_grad_ψ(
crvec x,
crvec y,
crvec Σ,
rvec grad_ψ,
rvec work_n,
rvec work_m)
const ->
void {
return functions->eval_grad_ψ(instance.get(), x.data(), y.data(), Σ.data(), D.lowerbound.data(), D.upperbound.data(), grad_ψ.data(), work_n.data(), work_m.data()); }
152auto DLProblem::eval_ψ_grad_ψ(
crvec x,
crvec y,
crvec Σ,
rvec grad_ψ,
rvec work_n,
rvec work_m)
const ->
real_t {
return functions->eval_ψ_grad_ψ(instance.get(), x.data(), y.data(), Σ.data(), D.lowerbound.data(), D.upperbound.data(), grad_ψ.data(), work_n.data(), work_m.data()); }
180 std::string symbol_prefix,
182 handle = load_lib(so_filename);
183 auto *register_func = load_func<control_problem_register_t(void *)>(
184 handle.get(), std::move(symbol_prefix),
"register");
185 auto r = register_func(user_param);
187 std::unique_ptr<void, void (*)(
void *)> unique_inst{r.instance, r.cleanup};
188 std::unique_ptr<alpaqa_function_dict_t> unique_extra{r.extra_functions};
189 std::unique_ptr<alpaqa_exception_ptr_t> unique_exception{r.exception};
190 check_abi_version(r.abi_version);
192 if (unique_exception) {
202 std::rethrow_exception(unique_exception->exc);
205 throw std::logic_error(
"alpaqa::dl::DLControlProblem::DLControlProblem:"
206 " plugin did not return any functions");
208 instance = std::shared_ptr<void>{std::move(unique_inst)};
210 extra_funcs = std::shared_ptr<function_dict_t>{std::move(unique_extra)};
229auto DLControlProblem::eval_add_R_masked(
index_t timestep,
crvec xu,
crvec h,
crindexvec mask,
rmat R,
rvec work)
const ->
void {
return functions->eval_add_R_masked(instance.get(), timestep, xu.data(), h.data(), mask.data(), R.data(), work.data()); }
230auto DLControlProblem::eval_add_S_masked(
index_t timestep,
crvec xu,
crvec h,
crindexvec mask,
rmat S,
rvec work)
const ->
void {
return functions->eval_add_S_masked(instance.get(), timestep, xu.data(), h.data(), mask.data(), S.data(), work.data()); }
231auto DLControlProblem::eval_add_R_prod_masked(
index_t timestep,
crvec xu,
crvec h,
crindexvec mask_J,
crindexvec mask_K,
crvec v,
rvec out,
rvec work)
const ->
void {
return functions->eval_add_R_prod_masked(instance.get(), timestep, xu.data(), h.data(), mask_J.data(), mask_K.data(), v.data(), out.data(), work.data()); }
232auto DLControlProblem::eval_add_S_prod_masked(
index_t timestep,
crvec xu,
crvec h,
crindexvec mask_K,
crvec v,
rvec out,
rvec work)
const ->
void {
return functions->eval_add_S_prod_masked(instance.get(), timestep, xu.data(), h.data(), mask_K.data(), v.data(), out.data(), work.data()); }
Implements common problem functions for minimization problems with box constraints.
Box C
Constraints of the decision variables, .
length_t m
Number of constraints, dimension of g(x) and z.
length_t n
Number of decision variables, dimension of x.
Box D
Other constraints, .
real_t eval_prox_grad_step(real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p) const
vec l1_reg
(1-norm) regularization parameter.
DLControlProblem(const std::string &so_filename, std::string symbol_prefix="alpaqa_control_problem", void *user_param=nullptr)
Load a problem from a shared library.
void eval_add_S_masked(index_t timestep, crvec xu, crvec h, crindexvec mask, rmat S, rvec work) const
bool provides_eval_grad_constr_prod() const
void eval_add_Q_N(crvec x, crvec h, rmat Q) const
bool provides_eval_add_gn_hess_constr() const
void eval_q_N(crvec x, crvec h, rvec q) const
void eval_add_gn_hess_constr(index_t timestep, crvec x, crvec M, rmat out) const
void eval_grad_constr_prod(index_t timestep, crvec x, crvec p, rvec grad_cx_p) const
void eval_add_R_prod_masked(index_t timestep, crvec xu, crvec h, crindexvec mask_J, crindexvec mask_K, crvec v, rvec out, rvec work) const
bool provides_eval_add_R_prod_masked() const
length_t get_S_work_size() const
void eval_constr_N(crvec x, rvec c) const
void get_D_N(Box &D) const
bool provides_get_D() const
bool provides_get_S_work_size() const
void eval_grad_f_prod(index_t timestep, crvec x, crvec u, crvec p, rvec grad_fxu_p) const
bool provides_eval_add_Q_N() const
std::shared_ptr< void > instance
Problem instance created by the registration function, including the deleter to destroy it.
void eval_jac_f(index_t timestep, crvec x, crvec u, rmat J_fxu) const
real_t eval_l_N(crvec h) const
void eval_h_N(crvec x, rvec h) const
real_t eval_l(index_t timestep, crvec h) const
void eval_grad_constr_prod_N(crvec x, crvec p, rvec grad_cx_p) const
bool provides_eval_constr() const
control_problem_functions_t * functions
Pointer to the struct of function pointers for evaluating the objective, constraints,...
bool provides_get_D_N() const
void eval_add_gn_hess_constr_N(crvec x, crvec M, rmat out) const
void eval_f(index_t timestep, crvec x, crvec u, rvec fxu) const
bool provides_eval_grad_constr_prod_N() const
length_t get_R_work_size() const
void eval_add_S_prod_masked(index_t timestep, crvec xu, crvec h, crindexvec mask_K, crvec v, rvec out, rvec work) const
bool provides_eval_add_S_prod_masked() const
void get_x_init(rvec x_init) const
void eval_h(index_t timestep, crvec x, crvec u, rvec h) const
void eval_add_R_masked(index_t timestep, crvec xu, crvec h, crindexvec mask, rmat R, rvec work) const
std::shared_ptr< void > handle
Handle to the shared module defining the problem.
void eval_qr(index_t timestep, crvec xu, crvec h, rvec qr) const
ExtraFuncs extra_funcs
Dictionary of extra functions that were registered by the problem.
bool provides_eval_constr_N() const
void eval_add_Q(index_t timestep, crvec xu, crvec h, rmat Q) const
bool provides_get_R_work_size() const
bool provides_eval_add_gn_hess_constr_N() const
void eval_constr(index_t timestep, crvec x, rvec c) const
bool provides_eval_hess_L() const
real_t eval_prox_grad_step(real_t γ, crvec x, crvec grad_ψ, rvec x̂, rvec p) const
real_t eval_ψ_grad_ψ(crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m) const
void eval_grad_gi(crvec x, index_t i, rvec grad_gi) const
void eval_hess_L_prod(crvec x, crvec y, real_t scale, crvec v, rvec Hv) const
bool provides_eval_hess_ψ_prod() const
void eval_hess_ψ_prod(crvec x, crvec y, crvec Σ, real_t scale, crvec v, rvec Hv) const
bool provides_eval_ψ_grad_ψ() const
bool provides_get_box_C() const
real_t eval_f_g(crvec x, rvec g) const
bool provides_get_hess_L_num_nonzeros() const
void eval_hess_L(crvec x, crvec y, real_t scale, rindexvec inner_idx, rindexvec outer_ptr, rvec H_values) const
void eval_grad_f(crvec x, rvec grad_fx) const
bool provides_get_jac_g_num_nonzeros() const
bool provides_eval_jac_g() const
DLProblem(const std::string &so_filename, std::string symbol_prefix="alpaqa_problem", void *user_param=nullptr)
Load a problem from a shared library.
void eval_grad_f_grad_g_prod(crvec x, crvec y, rvec grad_f, rvec grad_gxy) const
real_t eval_ψ(crvec x, crvec y, crvec Σ, rvec ŷ) const
std::shared_ptr< void > instance
Problem instance created by the registration function, including the deleter to destroy it.
bool provides_eval_g() const
void eval_grad_ψ(crvec x, crvec y, crvec Σ, rvec grad_ψ, rvec work_n, rvec work_m) const
bool provides_eval_grad_f_grad_g_prod() const
bool provides_eval_f() const
bool provides_eval_hess_L_prod() const
bool provides_eval_grad_g_prod() const
bool provides_get_hess_ψ_num_nonzeros() const
real_t eval_f_grad_f(crvec x, rvec grad_fx) const
bool provides_eval_f_grad_f() const
bool provides_eval_grad_f() const
bool provides_eval_grad_gi() const
bool provides_eval_f_g() const
problem_functions_t * functions
Pointer to the struct of function pointers for evaluating the objective, constraints,...
real_t eval_f(crvec x) const
void eval_jac_g(crvec x, rindexvec inner_idx, rindexvec outer_ptr, rvec J_values) const
bool provides_eval_grad_L() const
void eval_grad_g_prod(crvec x, crvec y, rvec grad_gxy) const
bool provides_eval_grad_ψ() const
length_t get_jac_g_num_nonzeros() const
std::shared_ptr< void > handle
Handle to the shared module defining the problem.
ExtraFuncs extra_funcs
Dictionary of extra functions that were registered by the problem.
bool provides_eval_hess_ψ() const
void eval_grad_L(crvec x, crvec y, rvec grad_L, rvec work_n) const
void eval_g(crvec x, rvec gx) const
void eval_hess_ψ(crvec x, crvec y, crvec Σ, real_t scale, rindexvec inner_idx, rindexvec outer_ptr, rvec H_values) const
bool provides_eval_ψ() const
length_t get_hess_ψ_num_nonzeros() const
length_t get_hess_L_num_nonzeros() const
#define ALPAQA_DL_ABI_VERSION
typename Conf::real_t real_t
typename Conf::rindexvec rindexvec
typename Conf::index_t index_t
typename Conf::length_t length_t
typename Conf::crvec crvec
typename Conf::crindexvec crindexvec
void(* eval_add_gn_hess_constr)(void *instance, alpaqa_index_t timestep, const alpaqa_real_t *x, const alpaqa_real_t *M, alpaqa_real_t *out)
alpaqa_length_t(* get_S_work_size)(void *instance)
void(* eval_grad_constr_prod_N)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *p, alpaqa_real_t *grad_cx_p)
void(* get_D)(void *instance, alpaqa_real_t *lb, alpaqa_real_t *ub)
void(* eval_grad_constr_prod)(void *instance, alpaqa_index_t timestep, const alpaqa_real_t *x, const alpaqa_real_t *p, alpaqa_real_t *grad_cx_p)
void(* eval_add_R_prod_masked)(void *instance, alpaqa_index_t timestep, const alpaqa_real_t *xu, const alpaqa_real_t *h, const alpaqa_index_t *mask_J, const alpaqa_index_t *mask_K, const alpaqa_real_t *v, alpaqa_real_t *out, alpaqa_real_t *work)
void(* eval_add_gn_hess_constr_N)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *M, alpaqa_real_t *out)
alpaqa_length_t(* get_R_work_size)(void *instance)
void(* get_D_N)(void *instance, alpaqa_real_t *lb, alpaqa_real_t *ub)
void(* eval_constr)(void *instance, alpaqa_index_t timestep, const alpaqa_real_t *x, alpaqa_real_t *c)
void(* eval_add_Q_N)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *h, alpaqa_real_t *Q)
void(* eval_add_S_prod_masked)(void *instance, alpaqa_index_t timestep, const alpaqa_real_t *xu, const alpaqa_real_t *h, const alpaqa_index_t *mask_K, const alpaqa_real_t *v, alpaqa_real_t *out, alpaqa_real_t *work)
void(* eval_constr_N)(void *instance, const alpaqa_real_t *x, alpaqa_real_t *c)
void(* eval_grad_f)(void *instance, const alpaqa_real_t *x, alpaqa_real_t *grad_fx)
Gradient of the cost function.
alpaqa_real_t(* eval_ψ)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_real_t *ŷ)
Augmented Lagrangian.
void(* eval_hess_ψ_prod)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, alpaqa_real_t scale, const alpaqa_real_t *zl, const alpaqa_real_t *zu, const alpaqa_real_t *v, alpaqa_real_t *Hv)
Hessian-vector product of the augmented Lagrangian.
void(* initialize_box_C)(void *instance, alpaqa_real_t *lb, alpaqa_real_t *ub)
Provide the initial values for the bounds of alpaqa::BoxConstrProblem::C, i.e.
alpaqa_real_t(* eval_prox_grad_step)(void *instance, alpaqa_real_t γ, const alpaqa_real_t *x, const alpaqa_real_t *grad_ψ, alpaqa_real_t *x̂, alpaqa_real_t *p)
Proximal gradient step.
alpaqa_real_t(* eval_f_g)(void *instance, const alpaqa_real_t *x, alpaqa_real_t *g)
Cost and constraints.
void(* eval_grad_f_grad_g_prod)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t *grad_f, alpaqa_real_t *grad_gxy)
Gradient of the cost and gradient-vector product of the constraints.
alpaqa_length_t(* get_hess_ψ_num_nonzeros)(void *instance)
Number of nonzeros of the sparse Hessian of the augmented Lagrangian.
void(* eval_grad_L)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t *grad_L, alpaqa_real_t *work_n)
Gradient of the Lagrangian.
alpaqa_real_t(* eval_f_grad_f)(void *instance, const alpaqa_real_t *x, alpaqa_real_t *grad_fx)
Cost and its gradient.
alpaqa_real_t(* eval_f)(void *instance, const alpaqa_real_t *x)
Cost function.
void(* eval_hess_L)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t scale, alpaqa_index_t *inner_idx, alpaqa_index_t *outer_ptr, alpaqa_real_t *H_values)
Hessian of the Lagrangian.
alpaqa_length_t m
Number of constraints.
void(* eval_grad_ψ)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_real_t *grad_ψ, alpaqa_real_t *work_n, alpaqa_real_t *work_m)
Gradient of the augmented Lagrangian.
alpaqa_length_t n
Number of decision variables.
void(* eval_grad_gi)(void *instance, const alpaqa_real_t *x, alpaqa_index_t i, alpaqa_real_t *grad_gi)
Gradient of specific constraint function.
void(* eval_hess_ψ)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, alpaqa_real_t scale, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_index_t *inner_idx, alpaqa_index_t *outer_ptr, alpaqa_real_t *H_values)
Hessian of the augmented Lagrangian.
void(* initialize_l1_reg)(void *instance, alpaqa_real_t *lambda, alpaqa_length_t *size)
Provide the initial values for alpaqa::BoxConstrProblem::l1_reg, the ℓ₁-regularization factor.
alpaqa_length_t(* get_jac_g_num_nonzeros)(void *instance)
Number of nonzeros of the sparse Jacobian of the constraints function.
void(* eval_hess_L_prod)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t scale, const alpaqa_real_t *v, alpaqa_real_t *Hv)
Hessian-vector product of the Lagrangian.
void(* eval_g)(void *instance, const alpaqa_real_t *x, alpaqa_real_t *gx)
Constraints function.
void(* initialize_box_D)(void *instance, alpaqa_real_t *lb, alpaqa_real_t *ub)
Provide the initial values for the bounds of alpaqa::BoxConstrProblem::D, i.e.
void(* eval_jac_g)(void *instance, const alpaqa_real_t *x, alpaqa_index_t *inner_idx, alpaqa_index_t *outer_ptr, alpaqa_real_t *J_values)
Jacobian of the constraints function.
alpaqa_length_t(* get_hess_L_num_nonzeros)(void *instance)
Number of nonzeros of the sparse Hessian of the Lagrangian.
alpaqa_real_t(* eval_ψ_grad_ψ)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, const alpaqa_real_t *Σ, const alpaqa_real_t *zl, const alpaqa_real_t *zu, alpaqa_real_t *grad_ψ, alpaqa_real_t *work_n, alpaqa_real_t *work_m)
Augmented Lagrangian and its gradient.
void(* eval_grad_g_prod)(void *instance, const alpaqa_real_t *x, const alpaqa_real_t *y, alpaqa_real_t *grad_gxy)
Gradient-vector product of the constraints function.