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509 lines (400 loc) · 16.8 KB
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/*
* blockSQP_reference_build - build system and Python interface for blockSQP
* Copyright (C) 2025 by Reinhold Wittmann <reinhold.wittmann@ovgu.de>
*
* Licensed under the zlib license. See LICENSE for more details.
*/
/**
* \file py_blockSQP.cpp
* \author Reinhold Wittmann
* \date 2022-2025
*
* Implementation of a python interface to the blockSQP
* nonlinear programming solver - C++ side part
*/
#include <pybind11/pybind11.h>
#include <pybind11/operators.h>
#include <pybind11/numpy.h>
#include <pybind11/stl.h>
#include "blocksqp_method.hpp"
namespace py = pybind11;
class int_array_interface{
public:
int size = 0;
int *ptr;
};
class double_array_interface{
public:
int size = 0;
double *ptr;
};
//From new version (less questionable code)
template <typename T> class T_array{
public:
int size;
T *ptr;
public:
T_array(): size(0), ptr(nullptr){}
T_array(int size_): size(size_), ptr(new T[size_]){} //Causes linker warning -Walloc-size-larger-than=
~T_array(){
delete[] ptr;
}
void resize(int size_){
delete[] ptr;
size = size_;
ptr = new T[size];
}
};
typedef T_array<double_array_interface> double_pointer_interface_array;
struct Prob_Data{
blockSQP::Matrix xi; ///< optimization variables
blockSQP::Matrix lambda; ///< Lagrange multipliers
double objval; ///< objective function value
blockSQP::Matrix constr; ///< constraint function values
blockSQP::Matrix gradObj; ///< gradient of objective
blockSQP::Matrix constrJac; ///< constraint Jacobian (dense)
double_array_interface jacNz; ///< nonzero elements of constraint Jacobian
int_array_interface jacIndRow; ///< row indices of nonzero elements
int_array_interface jacIndCol; ///< starting indices of columns
blockSQP::SymMatrix *hess; ///< Hessian of the Lagrangian (blockwise)
//Each hessian blocks elements are a double array, wrapper by double_pointer_interface
//These are the once again wrapped by double_pointer_interface_interface
double_pointer_interface_array hess_arr;
int dmode; ///< derivative mode
int info; ///< error flag
};
class Problemform : public blockSQP::Problemspec
{
public:
Problemform(){
blockIdx = nullptr;
}
virtual ~Problemform(){
delete[] blockIdx;
};
//###########Test_Methods
void call_initialize(){
initialize_dense();
}
//###########
Prob_Data Cpp_Data; //values that get evaluated and returned by the evaluate methods
void init_Cpp_Data(bool Sparse_QP, int nnz){
Cpp_Data.xi.m = nVar; Cpp_Data.xi.ldim = -1; Cpp_Data.xi.n = 1; Cpp_Data.xi.tflag = 1; delete[] Cpp_Data.xi.array;
Cpp_Data.lambda.m = nVar + nCon; Cpp_Data.lambda.ldim = -1; Cpp_Data.lambda.n = 1; Cpp_Data.lambda.tflag = 1; delete[] Cpp_Data.lambda.array;
Cpp_Data.gradObj.m = nVar; Cpp_Data.gradObj.ldim = -1; Cpp_Data.gradObj.n = 1; Cpp_Data.gradObj.tflag = 1; delete[] Cpp_Data.gradObj.array;
Cpp_Data.constr.m = nCon; Cpp_Data.constr.ldim = -1; Cpp_Data.constr.n = 1; Cpp_Data.constr.tflag = 1; delete[] Cpp_Data.constr.array;
if (not Sparse_QP){
Cpp_Data.constrJac.m = nCon; Cpp_Data.constrJac.n = nVar; Cpp_Data.constrJac.ldim = -1; Cpp_Data.constrJac.tflag = 1; delete[] Cpp_Data.constrJac.array;
}
else{
Cpp_Data.jacNz.size = nnz;
Cpp_Data.jacNz.ptr = new double[nnz];
int *RowColLow = new int[nnz + nVar+1 + nVar];
Cpp_Data.jacIndRow.size = nnz;
Cpp_Data.jacIndRow.ptr = RowColLow;
Cpp_Data.jacIndCol.size = nVar+1;
Cpp_Data.jacIndCol.ptr = RowColLow + nnz;
}
Cpp_Data.hess_arr.size = nBlocks;
double_array_interface *h_arrays = new double_array_interface[nBlocks];
for (int j = 0; j < nBlocks; j++){
h_arrays[j].size = ((blockIdx[j+1] - blockIdx[j]) * (blockIdx[j+1] - blockIdx[j] + 1))/2 ;
}
Cpp_Data.hess_arr.ptr = h_arrays;
Cpp_Data.info = 0;
}
//Methods to be implemented on python side:
virtual void initialize_dense(){}; //initialize Cpp_Data (dense jacobian)
virtual void initialize_sparse(){}; //initialize Cpp_Data (sparse jacobian)
virtual void evaluate_dense(){}; //evaluate and write Cpp_Data (dense jacobian)
virtual void evaluate_sparse(){}; //evaluate and write Cpp_Data (sparse jacobian)
virtual void evaluate_simple(){}; //evaluate and write Cpp_Data (no derivatives)
virtual void update_inits(){};
virtual void update_evals(){};
virtual void update_simple(){};
virtual void get_objval(){};
void initialize(blockSQP::Matrix &xi, blockSQP::Matrix &lambda, blockSQP::Matrix &constrJac) override {
Cpp_Data.xi.array = xi.array;
Cpp_Data.lambda.array = lambda.array;
Cpp_Data.constrJac.array = constrJac.array;
update_inits();
initialize_dense();
}
void initialize(blockSQP::Matrix &xi, blockSQP::Matrix &lambda, double *&jacNz, int *&jacIndRow, int *&jacIndCol) override {
Cpp_Data.xi.array = xi.array;
Cpp_Data.lambda.array = lambda.array;
update_inits();
initialize_sparse();
jacNz = Cpp_Data.jacNz.ptr;
jacIndRow = Cpp_Data.jacIndRow.ptr;
jacIndCol = Cpp_Data.jacIndCol.ptr;
}
void evaluate(const blockSQP::Matrix &xi, const blockSQP::Matrix &lambda, double *objval, blockSQP::Matrix &constr, blockSQP::Matrix &gradObj, blockSQP::Matrix &constrJac, blockSQP::SymMatrix *&hess, int dmode, int *info) override {
Cpp_Data.xi.array = xi.array;
Cpp_Data.lambda.array = lambda.array;
Cpp_Data.dmode = dmode;
Cpp_Data.constr.array = constr.array;
if (dmode > 0){
Cpp_Data.gradObj.array = gradObj.array;
Cpp_Data.constrJac.array = constrJac.array;
}
if (dmode == 3){
for (int j = 0; j < nBlocks; j++)
Cpp_Data.hess_arr.ptr[j].ptr = hess[j].array;
}
else if (dmode == 2){
Cpp_Data.hess_arr.ptr[nBlocks - 1].ptr = hess[nBlocks - 1].array;
}
update_evals();
evaluate_dense();
get_objval();
*objval = Cpp_Data.objval;
*info = Cpp_Data.info;
}
void evaluate(const blockSQP::Matrix &xi, const blockSQP::Matrix &lambda, double *objval, blockSQP::Matrix &constr, blockSQP::Matrix &gradObj, double *&jacNz, int *&jacIndRow, int *&jacIndCol, blockSQP::SymMatrix *&hess, int dmode, int *info) override {
Cpp_Data.xi.array = xi.array;
Cpp_Data.lambda.array = lambda.array;
Cpp_Data.dmode = dmode;
Cpp_Data.constr.array = constr.array;
if (dmode > 0){
Cpp_Data.gradObj.array = gradObj.array;
Cpp_Data.jacNz.ptr = jacNz;
Cpp_Data.jacIndRow.ptr = jacIndRow;
Cpp_Data.jacIndCol.ptr = jacIndCol;
}
if (dmode == 3){
for (int j = 0; j < nBlocks; j++)
Cpp_Data.hess_arr.ptr[j].ptr = hess[j].array;
}
else if (dmode == 2){
Cpp_Data.hess_arr.ptr[nBlocks - 1].ptr = hess[nBlocks - 1].array;
}
update_evals();
evaluate_sparse();
get_objval();
*objval = Cpp_Data.objval;
*info = Cpp_Data.info;
}
void evaluate(const blockSQP::Matrix &xi, double *objval, blockSQP::Matrix &constr, int *info) override {
Cpp_Data.xi.array = xi.array;
Cpp_Data.constr.array = constr.array;
update_simple();
evaluate_simple();
get_objval();
*objval = Cpp_Data.objval;
*info = Cpp_Data.info;
}
void set_blockIdx(py::array_t<int> arr){
py::buffer_info buff = arr.request();
//blockIdx = (int*)buff.ptr;
delete[] blockIdx;
blockIdx = new int[buff.size];
for (int i = 0; i < buff.size; i++){
blockIdx[i] = static_cast<int*>(buff.ptr)[i];
}
nBlocks = buff.size - 1;
}
};
class Py_Problemform: public Problemform{
void initialize_dense() override {
PYBIND11_OVERRIDE(void, Problemform, initialize_dense,);
}
void initialize_sparse() override {
PYBIND11_OVERRIDE(void, Problemform, initialize_sparse,);
}
void evaluate_dense() override {
PYBIND11_OVERRIDE(void, Problemform, evaluate_dense,);
}
void evaluate_sparse() override {
PYBIND11_OVERRIDE(void, Problemform, evaluate_sparse,);
}
void evaluate_simple() override {
PYBIND11_OVERRIDE(void, Problemform, evaluate_simple,);
}
void update_inits() override {
PYBIND11_OVERRIDE(void, Problemform, update_inits,);
}
void update_evals() override {
PYBIND11_OVERRIDE(void, Problemform, update_evals,);
}
void update_simple() override {
PYBIND11_OVERRIDE(void, Problemform, update_simple,);
}
void get_objval() override {
PYBIND11_OVERRIDE(void, Problemform, get_objval,);
}
};
PYBIND11_MODULE(py_blockSQP, m) {
py::class_<blockSQP::Matrix>(m, "Matrix", py::buffer_protocol())
.def_buffer([](blockSQP::Matrix &mtrx) -> py::buffer_info{
return py::buffer_info(
mtrx.array,
sizeof(double),
py::format_descriptor<double>::format(),
2,
{mtrx.m,mtrx.n},
// {sizeof(double)*mtrx.n, sizeof(double)}
{sizeof(double), sizeof(double)*mtrx.m}
);
})
.def(py::init<int,int,int>(), py::arg("M") = 1, py::arg("N") = 1, py::arg("LDIM") = -1)
.def(py::init<const blockSQP::Matrix&>())
.def("Dimension", &blockSQP::Matrix::Dimension, py::arg("M"), py::arg("N") = 1, py::arg("LDIM") = -1)
.def("Initialize", static_cast<blockSQP::Matrix& (blockSQP::Matrix::*)(double)>(&blockSQP::Matrix::Initialize))
.def("acc", [](blockSQP::Matrix &mtrx, int i, int j){return mtrx(i,j);})
.def_readwrite("ldim",&blockSQP::Matrix::ldim)
.def_readwrite("m",&blockSQP::Matrix::m)
.def_readwrite("n",&blockSQP::Matrix::n)
.def_property("array", nullptr, [](blockSQP::Matrix &mtrx, py::array_t<double> arr){
py::buffer_info buff = arr.request();
mtrx.array = (double*)buff.ptr;
});
py::class_<blockSQP::SymMatrix, blockSQP::Matrix>(m, "SymMatrix", py::buffer_protocol());
py::class_<blockSQP::SQPoptions>(m, "SQPoptions")
.def(py::init<>())
.def("optionsConsistency",&blockSQP::SQPoptions::optionsConsistency)
.def_readwrite("printLevel",&blockSQP::SQPoptions::printLevel)
.def_readwrite("printColor",&blockSQP::SQPoptions::printColor)
.def_readwrite("debugLevel",&blockSQP::SQPoptions::debugLevel)
.def_readwrite("eps",&blockSQP::SQPoptions::eps)
.def_readwrite("inf",&blockSQP::SQPoptions::inf)
.def_readwrite("opttol",&blockSQP::SQPoptions::opttol)
.def_readwrite("nlinfeastol",&blockSQP::SQPoptions::nlinfeastol)
.def_readwrite("sparseQP",&blockSQP::SQPoptions::sparseQP)
.def_readwrite("globalization",&blockSQP::SQPoptions::globalization)
.def_readwrite("restoreFeas",&blockSQP::SQPoptions::restoreFeas)
.def_readwrite("maxLineSearch",&blockSQP::SQPoptions::maxLineSearch)
.def_readwrite("maxConsecReducedSteps",&blockSQP::SQPoptions::maxConsecReducedSteps)
.def_readwrite("maxConsecSkippedUpdates",&blockSQP::SQPoptions::maxConsecSkippedUpdates)
.def_readwrite("maxItQP",&blockSQP::SQPoptions::maxItQP)
.def_readwrite("blockHess",&blockSQP::SQPoptions::blockHess)
.def_readwrite("hessScaling",&blockSQP::SQPoptions::hessScaling)
.def_readwrite("fallbackScaling",&blockSQP::SQPoptions::fallbackScaling)
.def_readwrite("maxTimeQP",&blockSQP::SQPoptions::maxTimeQP)
.def_readwrite("iniHessDiag",&blockSQP::SQPoptions::iniHessDiag)
.def_readwrite("colEps",&blockSQP::SQPoptions::colEps)
.def_readwrite("colTau1",&blockSQP::SQPoptions::colTau1)
.def_readwrite("colTau2",&blockSQP::SQPoptions::colTau2)
.def_readwrite("hessDamp",&blockSQP::SQPoptions::hessDamp)
.def_readwrite("hessDampFac",&blockSQP::SQPoptions::hessDampFac)
.def_readwrite("hessUpdate",&blockSQP::SQPoptions::hessUpdate)
.def_readwrite("fallbackUpdate",&blockSQP::SQPoptions::fallbackUpdate)
.def_readwrite("hessLimMem",&blockSQP::SQPoptions::hessLimMem)
.def_readwrite("hessMemsize",&blockSQP::SQPoptions::hessMemsize)
.def_readwrite("whichSecondDerv",&blockSQP::SQPoptions::whichSecondDerv)
.def_readwrite("skipFirstGlobalization",&blockSQP::SQPoptions::skipFirstGlobalization)
.def_readwrite("convStrategy",&blockSQP::SQPoptions::convStrategy)
.def_readwrite("maxConvQP",&blockSQP::SQPoptions::maxConvQP)
.def_readwrite("maxSOCiter",&blockSQP::SQPoptions::maxSOCiter);
py::class_<int_array_interface>(m,"int_array_interface",py::buffer_protocol())
.def(py::init<>())
.def_buffer([](int_array_interface &inter) -> py::buffer_info{
return py::buffer_info(
inter.ptr,
sizeof(int),
py::format_descriptor<int>::format(),
1,
{inter.size},
{sizeof(int)}
);
})
//.def("resize", &int_array_interface::resize)
;
py::class_<double_array_interface>(m,"double_array_interface",py::buffer_protocol())
.def(py::init<>())
.def_buffer([](double_array_interface &inter) -> py::buffer_info{
return py::buffer_info(
inter.ptr,
sizeof(double),
py::format_descriptor<double>::format(),
1,
{inter.size},
{sizeof(double)}
);
})
//.def("resize", &double_array_interface::resize)
;
py::class_<double_pointer_interface_array>(m,"double_pointer_interface_array")
.def(py::init<>())
.def("__getitem__", [](double_pointer_interface_array &arr, int i)->double_array_interface*{return arr.ptr + i;}, py::return_value_policy::reference)
;
py::class_<Prob_Data>(m,"Prob_Data")
.def_readwrite("xi", &Prob_Data::xi)
.def_readwrite("lam", &Prob_Data::lambda)
.def_readwrite("objval", &Prob_Data::objval)
.def_readwrite("constr", &Prob_Data::constr)
.def_readwrite("gradObj", &Prob_Data::gradObj)
.def_readwrite("constrJac", &Prob_Data::constrJac)
.def_readwrite("jacIndRow", &Prob_Data::jacIndRow)
.def_readwrite("jacNz", &Prob_Data::jacNz)
.def_readwrite("jacIndCol", &Prob_Data::jacIndCol)
.def_readwrite("dmode", &Prob_Data::dmode)
.def_readwrite("info", &Prob_Data::info)
.def_readwrite("hess_arr", &Prob_Data::hess_arr)
;
py::class_<Problemform, Py_Problemform>(m,"Problemform", py::buffer_protocol())
.def(py::init<>())
//##############
.def("call_initialize", &Problemform::call_initialize)
//##############
.def("init_Cpp_Data", &Problemform::init_Cpp_Data)
.def("initialize_dense", &Problemform::initialize_dense)
.def("initialize_sparse", &Problemform::initialize_sparse)
.def("evaluate_dense", &Problemform::evaluate_dense)
.def("evaluate_sparse", &Problemform::evaluate_sparse)
.def("evaluate_simple", &Problemform::evaluate_simple)
.def("update_inits", &Problemform::update_inits)
.def("update_evals", &Problemform::update_evals)
.def("update_simple", &Problemform::update_simple)
.def("get_objval", &Problemform::get_objval)
.def_readwrite("Cpp_Data", &Problemform::Cpp_Data)
.def_readwrite("nVar", &Problemform::nVar)
.def_readwrite("nCon", &Problemform::nCon)
.def_readwrite("nnCon", &Problemform::nnCon)
.def_readwrite("objLo", &Problemform::objLo)
.def_readwrite("objUp", &Problemform::objUp)
.def_readwrite("bl", &Problemform::bl)
.def_readwrite("bu", &Problemform::bu)
.def_readonly("nBlocks", &Problemform::nBlocks)
.def_property("blockIdx", nullptr, &Problemform::set_blockIdx);
py::class_<blockSQP::SQPstats>(m,"SQPstats")
.def(py::init<char*>())
.def_readwrite("itCount", &blockSQP::SQPstats::itCount)
.def_readwrite("qpIterations", &blockSQP::SQPstats::qpIterations)
.def_readwrite("qpIterations2", &blockSQP::SQPstats::qpIterations2)
.def_readwrite("qpItTotal", &blockSQP::SQPstats::qpItTotal)
.def_readwrite("qpResolve", &blockSQP::SQPstats::qpResolve)
.def_readwrite("nFunCalls", &blockSQP::SQPstats::nFunCalls)
.def_readwrite("nDerCalls", &blockSQP::SQPstats::nDerCalls)
.def_readwrite("nRestHeurCalls", &blockSQP::SQPstats::nRestHeurCalls)
.def_readwrite("nRestPhaseCalls", &blockSQP::SQPstats::nRestPhaseCalls)
.def_readwrite("rejectedSR1", &blockSQP::SQPstats::rejectedSR1)
.def_readwrite("hessSkipped", &blockSQP::SQPstats::hessSkipped)
.def_readwrite("hessDamped", &blockSQP::SQPstats::hessDamped)
.def_readwrite("nTotalUpdates", &blockSQP::SQPstats::nTotalUpdates)
.def_readwrite("nTotalSkippedUpdates", &blockSQP::SQPstats::nTotalSkippedUpdates)
.def_readwrite("averageSizingFactor", &blockSQP::SQPstats::averageSizingFactor);
py::class_<blockSQP::SQPmethod>(m,"SQPmethod")
// .def(py::init<blockSQP::Problemspec*, blockSQP::SQPoptions*, blockSQP::SQPstats*>())
.def(py::init([](Problemform* prob, blockSQP::SQPoptions* opts, blockSQP::SQPstats* stats){return new blockSQP::SQPmethod(prob, opts, stats); }), py::return_value_policy::take_ownership)
.def_readonly("vars", &blockSQP::SQPmethod::vars)
.def_readonly("stats", &blockSQP::SQPmethod::stats)
.def("init", &blockSQP::SQPmethod::init)
.def("run", &blockSQP::SQPmethod::run, py::arg("maxIt"), py::arg("warmStart") = 0)
.def("finish", &blockSQP::SQPmethod::finish);
py::class_<blockSQP::SQPiterate>(m, "SQPiterate")
.def_readonly("obj", &blockSQP::SQPiterate::obj)
.def_readonly("qpObj", &blockSQP::SQPiterate::qpObj)
.def_readonly("cNorm", &blockSQP::SQPiterate::cNorm)
.def_readonly("cNormS", &blockSQP::SQPiterate::cNormS)
.def_readonly("gradNorm", &blockSQP::SQPiterate::gradNorm)
.def_readonly("lambdaStepNorm", &blockSQP::SQPiterate::lambdaStepNorm)
.def_readonly("tol", &blockSQP::SQPiterate::tol)
.def_readonly("xi", &blockSQP::SQPiterate::xi)
.def_readonly("lam", &blockSQP::SQPiterate::lambda)
.def_readonly("constr", &blockSQP::SQPiterate::constr)
.def_readonly("constrJac", &blockSQP::SQPiterate::constrJac)
.def_readonly("hess", &blockSQP::SQPiterate::hess)
.def_readonly("hess1", &blockSQP::SQPiterate::hess1)
.def_readonly("hess2", &blockSQP::SQPiterate::hess2);
}